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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b365f293-55b6-467d-acdb-ec110988c8fd",
+   "metadata": {},
+   "source": [
+    "# Using Customized and External Cell and Channel Models in BioNet"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "88d41f7b-4ff9-4f25-99fd-9bc0c0804fa5",
+   "metadata": {},
+   "source": [
+    "Through the main tutorials, we've been using networks built off cell models downloaded from the [Allen Cell-Types Database](https://celltypes.brain-map.org/data). While the Allen Cell-Types Databases has a comprehensive and continuingly growing selection of optimized cell-type models to download and use, for many scientists, it may not meet their needs. BMTK supports incorporating many cell types and synaptic models into their simulations, including pre-built models from non-Allen Institute organizations. It also allows users multiple ways to create their customized models. \n",
+    "\n",
+    "This section will focus on single-cell spiking models, including conductance-based models with multiple channels and/or compartments per model. We do not recommend using Rates-based models with BioNet, and they will likely not work.\n",
+    "\n",
+    "The following section will show users multiple ways to import or create their own networks and simulations. Many of the multi-compartment biophysically detailed models developed for the NEURON simulator are written in [.hoc](https://www.neuron.yale.edu/neuron/static/new_doc/programming/hocsyntax.html) format. However, another popular format is models written in [NeuroML v2](https://docs.neuroml.org/Userdocs/NeuroMLv2.html). In other cases, models may be written in Python. BioNet supports these options and allows users to readily implement other options, too.\n",
+    "\n",
+    "If you are unfamiliar with how and where to find cell and channel models that have been created by other scientists, two good options to start looking at are:\n",
+    "1. [ModelDB](https://modeldb.science/)\n",
+    "2. [Open Source Brain](https://v2.opensourcebrain.org/)\n",
+    "\n",
+    "\n",
+    "**Note** - scripts and files for running this tutorial can be found in the directory [01_opt_external_models/](https://github.com/AllenInstitute/bmtk/tree/develop/docs/tutorial/01_opt_external_models)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "668af9a7-054d-402f-9747-b164388f23ac",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## Contents\n",
+    "\n",
+    "1. [Cell Models](#cell-models)\n",
+    "\n",
+    "   1.1. [Example: Loading a simple NEURON HOC template cell model into your network simulation](#example-simple-hoc)\n",
+    "   \n",
+    "   1.2. [Example: Overriding the way which BMTK creates cell models before simulation](#example-modify-init)\n",
+    "   \n",
+    "   1.3. [Example: Loading a python-based neuronal model into your simulation](#example-python-models)\n",
+    "\n",
+    "\n",
+    "2. [Modifying an existing cell model](#mod-existing-cell-model)\n",
+    "\n",
+    "   2.1. [Example: Building your own python-based cell models](#example-custom-cells)\n",
+    "   \n",
+    "   2.2. [Example: Adding customized mechanisms into an existing cell model](#model-processing-added-mech)\n",
+    "   \n",
+    "   2.3. [Example: Modifying channel conductance in an instantiated cell](#model-processing-channel-conductance)\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a08c7955-0ed7-427a-a7eb-dbf97e212cc8",
+   "metadata": {},
+   "source": [
+    "## 1. Cell Models <a class=\"anchor\" id=\"cell-models\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "406d9391-8865-44a6-ba50-16dc2df98a3b",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "### 1.1. Example: Loading in a Simple Hoc Model <a class=\"anchor\" id=\"example-simple-hoc\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "392eeeb2-95f7-44c6-a75f-6a2a8c20dc3c",
+   "metadata": {},
+   "source": [
+    "\n",
+    "##### Step 1: \n",
+    "\n",
+    "**Note**: *This step has already been done in the current notebook and does not need to be repeated, but may be useful when initializing other examples*\n",
+    "\n",
+    "The first thing we'll do is to download and unpack the model files from ModelDB, which for the Hay L5PC models can be found at  [https://modeldb.science/139653](https://modeldb.science/139653). At the site, you can use the download button to download a zip file with the appropriate .hoc (cell model), .mod (ion channels), and .asc (morphologies) files.\n",
+    "\n",
+    "\n",
+    "<br>\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/modeldb_hay_screen.png\" width=\"900\" align=\"center\" style=\"margin-left:5px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "To run properly, we will need to move the following files from the download zip file into our **components/** folder so BMTK will be able to find them during the simulation:\n",
+    "* Move **mod/** folder => **componets/mechanisms/mod/**.\n",
+    "* Move **morphologies/\\*.asc** files => **components/morphologies/** folder.\n",
+    "* Move **models/L5PCtemplate.hoc** and **models/L5PCbiophys4.hoc** => **componets/templates/** folder (*note*: The zip file contains four different version of L5PCbiophys model stored in different hoc files. However, only one can be loaded into NEURON at a time, hence we are only moving one of the files and not all of them).\n",
+    " \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b89a7c1e-8b28-4db5-bf96-9598dc3d8bb0",
+   "metadata": {},
+   "source": [
+    "The model contains customized ion channels in the **components/mechanisms/mod/** folder that require compiling using the `nrnivmod` command. In a shell or using jupyter notebook you'll need to run the following:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "933ad3b3-d8ea-4b14-add0-554f3723571b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/shared/workspace/docs/tutorial/01_opt_external_models/components/mechanisms\n",
+      "Mod files: \"modfiles/CaDynamics.mod\" \"modfiles/CaDynamics_E2.mod\" \"modfiles/Ca_HVA.mod\" \"modfiles/Ca_LVA.mod\" \"modfiles/Ca_LVAst.mod\" \"modfiles/Cav2_1.mod\" \"modfiles/Cav3_1.mod\" \"modfiles/Cav3_2.mod\" \"modfiles/Cav3_3.mod\" \"modfiles/Gfluct.mod\" \"modfiles/HCN1_Angeloetal2007.mod\" \"modfiles/Ih.mod\" \"modfiles/Im.mod\" \"modfiles/Im_v2.mod\" \"modfiles/K_P.mod\" \"modfiles/K_Pst.mod\" \"modfiles/K_T.mod\" \"modfiles/K_Tst.mod\" \"modfiles/Kca11.mod\" \"modfiles/Kca22.mod\" \"modfiles/Kca31.mod\" \"modfiles/Kd.mod\" \"modfiles/Kir23.mod\" \"modfiles/Kv11.mod\" \"modfiles/Kv15.mod\" \"modfiles/Kv2like.mod\" \"modfiles/Kv33.mod\" \"modfiles/Kv34.mod\" \"modfiles/Kv3_1.mod\" \"modfiles/Kv43.mod\" \"modfiles/Leak.mod\" \"modfiles/NaTa.mod\" \"modfiles/NaTa_t.mod\" \"modfiles/NaTg.mod\" \"modfiles/NaTs.mod\" \"modfiles/NaTs2_t.mod\" \"modfiles/NaV.mod\" \"modfiles/Nap.mod\" \"modfiles/Nap_Et2.mod\" \"modfiles/Nav16.mod\" \"modfiles/PC_Gaba_det_vi_alfa1.mod\" \"modfiles/PURKINJE_Ampa_det_vi.mod\" \"modfiles/ProbAMPANMDA2.mod\" \"modfiles/ProbUDFsyn2.mod\" \"modfiles/SK.mod\" \"modfiles/SK_E2.mod\" \"modfiles/SKv3_1.mod\" \"modfiles/cdp5_CAM.mod\" \"modfiles/epsp.mod\" \"modfiles/exp1isyn.mod\" \"modfiles/exp1syn.mod\" \"modfiles/stp1syn.mod\" \"modfiles/stp2syn.mod\" \"modfiles/stp3syn.mod\" \"modfiles/stp4syn.mod\" \"modfiles/stp5isyn.mod\" \"modfiles/stp5syn.mod\" \"modfiles/vecevent.mod\"\n",
+      "\n",
+      "COBJS=''\n",
+      " -> \u001b[32mCompiling\u001b[0m mod_func.c\n",
+      "gcc -O2   -I.   -I/opt/conda/envs/bmtk/lib/python3.9/site-packages/neuron/.data/include  -I/nrnwheel/openmpi/include -fPIC -c mod_func.c -o mod_func.o\n",
+      " => \u001b[32mLINKING\u001b[0m shared library ./libnrnmech.so\n",
+      "g++ -O2 -DVERSION_INFO='8.0.0' -std=c++11 -shared -fPIC  -I /opt/conda/envs/bmtk/lib/python3.9/site-packages/neuron/.data/include -o ./libnrnmech.so -Wl,-soname,libnrnmech.so \\\n",
+      "  ./mod_func.o ./CaDynamics.o ./CaDynamics_E2.o ./Ca_HVA.o ./Ca_LVA.o ./Ca_LVAst.o ./Cav2_1.o ./Cav3_1.o ./Cav3_2.o ./Cav3_3.o ./Gfluct.o ./HCN1_Angeloetal2007.o ./Ih.o ./Im.o ./Im_v2.o ./K_P.o ./K_Pst.o ./K_T.o ./K_Tst.o ./Kca11.o ./Kca22.o ./Kca31.o ./Kd.o ./Kir23.o ./Kv11.o ./Kv15.o ./Kv2like.o ./Kv33.o ./Kv34.o ./Kv3_1.o ./Kv43.o ./Leak.o ./NaTa.o ./NaTa_t.o ./NaTg.o ./NaTs.o ./NaTs2_t.o ./NaV.o ./Nap.o ./Nap_Et2.o ./Nav16.o ./PC_Gaba_det_vi_alfa1.o ./PURKINJE_Ampa_det_vi.o ./ProbAMPANMDA2.o ./ProbUDFsyn2.o ./SK.o ./SK_E2.o ./SKv3_1.o ./cdp5_CAM.o ./epsp.o ./exp1isyn.o ./exp1syn.o ./stp1syn.o ./stp2syn.o ./stp3syn.o ./stp4syn.o ./stp5isyn.o ./stp5syn.o ./vecevent.o  -L/opt/conda/envs/bmtk/lib/python3.9/site-packages/neuron/.data/lib -lnrniv -Wl,-rpath,/opt/conda/envs/bmtk/lib/python3.9/site-packages/neuron/.data/lib   \n",
+      "rm -f ./.libs/libnrnmech.so ; mkdir -p ./.libs ; cp ./libnrnmech.so ./.libs/libnrnmech.so\n",
+      "Successfully created x86_64/special\n"
+     ]
+    }
+   ],
+   "source": [
+    "! cd components/mechanisms && nrnivmodl modfiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9674554b-2bdb-4454-81d6-43cf6f9fe082",
+   "metadata": {},
+   "source": [
+    "##### Step 2: Building the Network\n",
+    "\n",
+    "Building a network using the downloaded L5PC Hay model is very similar to how we built biophysically detailed network models in [previous chapters](../Ch3_multicells/3.%20Multipopulation%20biophysical.ipynb). We use the `add_nodes()` method to add a population of 1 or more L5PC `biophysical` cells and the `add_edges()` to connect them up with other cells. However, due to the model type and parameters, we will need to make some changes compared to how we utilize Allen-Cell Type models.\n",
+    "\n",
+    "* We set **model_template**=`hoc:L5PCtemplate` instead of the Allen `ctdb:Biophys1` value. The name of the Hoc Template for loading this particular model comes from the components/templates/L5PCtemplate.hoc file\n",
+    "* In our Allen Cell-Types models, we had set the value **model_processing** to 'aibs_perisomatic', which told bmtk to call the special post-intialization directive `aibs_perisomatic`, which would modify each cell object in a specific manner. Although it is possible to create custom directives to update and modify each cell after the template has been loaded (see below), we don't want to do so. Instead, we leave the model_processing attribute blank.\n",
+    "* In our Allen Cell-Types models, we also had a **dynamics_params** option that would update and add cell parameters after the cell had been initialized. However, for our L5PC Hay model, we have no current need to update the parameters (we'll instead use the parameter values stored in the .hoc files), so we will not have any dynamics_params attributes.\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ef2cc58c-6104-48ab-9c90-8c2ae3366597",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:root:No edges have been made for this network, skipping saving of edges file.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.builder.networks import NetworkBuilder\n",
+    "\n",
+    "net = NetworkBuilder('L5')\n",
+    "net.add_nodes(\n",
+    "    N=10,\n",
+    "    model_type='biophysical',\n",
+    "    model_template='hoc:L5PCtemplate',\n",
+    "    morphology='cell3.asc'\n",
+    ")\n",
+    "net.build()\n",
+    "net.save(output_dir='network_L5')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0f5ce031-8c95-4d89-846e-cba00e282ab1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "virt_exc = NetworkBuilder('virt_exc')\n",
+    "virt_exc.add_nodes(\n",
+    "    N=20,\n",
+    "    model_type='virtual',\n",
+    "    ei_type='exc'\n",
+    ")\n",
+    "conns = virt_exc.add_edges(\n",
+    "    source=virt_exc.nodes(),\n",
+    "    target=net.nodes(),\n",
+    "    connection_rule=12,\n",
+    "    model_template='Exp2Syn',\n",
+    "    dynamics_params='AMPA_ExcToExc.json',\n",
+    "    distance_range=[0.0, 1.0e20],\n",
+    "    target_sections=['soma', 'basal', 'apical'],\n",
+    "    delay=2.0,\n",
+    "    syn_weight=0.01\n",
+    ")\n",
+    "\n",
+    "virt_exc.build()\n",
+    "virt_exc.save(output_dir='network_L5')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "630bbd89-4ba9-4878-be1e-11a7e90ad732",
+   "metadata": {},
+   "source": [
+    "##### Step 3: Running the simulation\n",
+    "\n",
+    "Running the simulation with the downloaded L5PC models is no different than running the simulations with the Allen Cell-Types Database cell models. BMTK will be able to use the configuration **components** sections along with the **model_template** and **morphology** values to automatically load in our 10 L5PC cells. The results for these cells, including spikes, Vm traces, etc., will be saved in the same format and paths as our other examples."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "6a5659ff-4ec4-4f4a-afd2-16291b8b6738",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:38:09,287 [INFO] Created log file\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Created log file\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "numprocs=1\n",
+      "2024-10-21 18:38:09,412 [INFO] Building cells.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building cells.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:38:16,890 [INFO] Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:38:16,902 [INFO] Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:38:16,982 [INFO] Running simulation for 2000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Running simulation for 2000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:38:16,984 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:38:16,986 [INFO] Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:38:30,278 [INFO]     step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:38:43,513 [INFO]     step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:38:56,897 [INFO]     step:15000 t_sim:1500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:15000 t_sim:1500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:10,212 [INFO]     step:20000 t_sim:2000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:20000 t_sim:2000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:10,249 [INFO] Simulation completed in 53.27 seconds \n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Simulation completed in 53.27 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.L5.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "83ef2b8f-4c81-48ec-b8f6-faa3a07cfaa7",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "### 1.2. Example: Modifying Model Initialization <a class=\"anchor\" id=\"example-modify-init\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c24a66f-8db0-44b0-948e-c4dbf9f93210",
+   "metadata": {},
+   "source": [
+    "If we search Open Source Brain, we can see their own more recent versions of [L5 Pyramidal Cell models from the same lab](https://v2.opensourcebrain.org/repositories/2180). Suppose we wanted to incorporate these newer models alongside the original L5 PC network created above. We would need to do the following:\n",
+    "1. Download the [files](https://github.com/OpenSourceBrain/267587/tree/master/Single%20Cell%20Modelling/Current-Step%20Simulations/L5Pyr_young)\n",
+    "2. Move the morphology, mode, and model template files to their appropriate location\n",
+    "3. Since these files also include new .mod files, we would have to recompile them:\n",
+    "```bash\n",
+    "  $ cd components/mechanisms && nrnivmodl modfiles\n",
+    "```\n",
+    "\n",
+    "The newer models have a different morphology file (`Hl5PN1.swc`) and HOC Template name (`HNTemplate`). So in order to add these new cells to the old one we can add the following call in our build script (**build_network.L5_updated.py**):\n",
+    "\n",
+    "```python\n",
+    "net.add_nodes(\n",
+    "    N=5,\n",
+    "    model_type='biophysical',\n",
+    "    model_template='hoc:HNTemplate',\n",
+    "    morphology='HL5PN1.swc'\n",
+    ")\n",
+    "```\n",
+    "\n",
+    "*Note: We'll also modify the script to write the network to a different directory*\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d73fd45-d720-42d8-81da-7bb889872012",
+   "metadata": {},
+   "source": [
+    "We could try to run the **L5_updated** model like before, but it would throw an error\n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "⚠️ NEURON: init not enough arguments\n",
+    "</div>\n",
+    "\n",
+    "The Reason: **We are not calling the HNTemplate correctly.**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cbae5da5-3592-4020-a4cb-51e53284cac7",
+   "metadata": {},
+   "source": [
+    "If we look through the code and the documentation, we can see that, to instantiate an HNTemplate cell model instance, we must pass two parameters: The morphology file and the cell-type (one of a preset number of string values that will determine how specific properties are set within the model). In this case, the call would look like:\n",
+    "\n",
+    "```python\n",
+    "  h.HNTemplate(morphology_file_path, \"HL5PN1\")\n",
+    "```\n",
+    "\n",
+    "The built-in BMTK function that tries to load hoc files, [loadHOC](https://github.com/AllenInstitute/bmtk/blob/develop/bmtk/simulator/bionet/default_setters/cell_models.py#L43), does not know how to load this specific template. And even if it did, you may run into other models that require different, unseen ways of initialization. \n",
+    "\n",
+    "While it is possible to overwrite the `loadHOC` function, it is not ideal. To avoid breaking existing models, we would need to have multiple cases based on each possible template."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0dcb4381-0ca6-4460-8973-bac09438a69b",
+   "metadata": {},
+   "source": [
+    "**Solution**\n",
+    "\n",
+    "Instead of using one function to load in every template, we can create our own custom function to load the HNTemplate. To achieve this, BMTK uses a special [python decorator](https://peps.python.org/pep-0318/) to assign to function users have written (in either the notebook or run_bionet.py script). Below, we show an example of how to do this using a custom function we'll call loadHNTemplate():"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "861c2dfc-ce17-420b-b5e1-beb294996ff5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from neuron import h\n",
+    "from bmtk.simulator.bionet import cell_model\n",
+    "from bmtk.simulator.bionet.io_tools import io\n",
+    "\n",
+    "@cell_model(directive='hoc:HNTemplate', model_type='biophysical')\n",
+    "def loadHNTemplate(cell, template_name, dynamics_params):\n",
+    "    io.log_info(f'Calling loadHNTemplate() for cell {cell[\"node_id\"]}, template {template_name}')\n",
+    "    hobj = h.HNTemplate(cell['morphology'], \"HL5PN1\")\n",
+    "    return hobj"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f99de13-a200-445e-b70a-bd2b3fbdd08e",
+   "metadata": {},
+   "source": [
+    " * The `@cell_model` is a decorator we put at the front of our function. Using `directive=hoc:Template` and `model_type=biophysical` parameters indicates to BMTK that whenever a cell model needs to be built for a *biophysical*, *HNTemplate* hoc template, it will use this function.\n",
+    " * Our function requires three parameters;\n",
+    "   * The `cell` parameter contains attributes of each individual cell and can be used to extract properties like the morphology file, the node-id, coordinates, etc.\n",
+    "   * The `template_name` is, in this case, just the string value \"HNTemplate\"\n",
+    "   * The `dynamics_params` is a dictionary from the **dynamics_params** json or hdf5. In this network, we never set the dynamics_params attributes, so the value will be None.\n",
+    " * We need to return either a hoc-object or some other Python class built using the NEURON API.\n",
+    " * For a sanity check, we also included a log statement. We should only see this message for the 5 newer HNTemplate models, not for the other original \"L5PCTemplate\" cells.\n",
+    "\n",
+    "\n",
+    "During simulation, this function will be called for every cell with matching \"template_name\" and \"model_type\"."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d315eb04-6c0f-415b-aedd-21a8c8253ba8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:10,266 [INFO] Created log file\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Created log file\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-10-21 18:39:10,335 [INFO] Building cells.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building cells.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:14,153 [INFO] Calling loadHNTemplate() for cell 5, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Calling loadHNTemplate() for cell 5, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:14,377 [INFO] Calling loadHNTemplate() for cell 6, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Calling loadHNTemplate() for cell 6, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:14,596 [INFO] Calling loadHNTemplate() for cell 7, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Calling loadHNTemplate() for cell 7, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:14,813 [INFO] Calling loadHNTemplate() for cell 8, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Calling loadHNTemplate() for cell 8, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:15,043 [INFO] Calling loadHNTemplate() for cell 9, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Calling loadHNTemplate() for cell 9, template HNTemplate\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:15,258 [INFO] Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:15,282 [INFO] Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:15,346 [INFO] Running simulation for 2000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Running simulation for 2000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:15,347 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:15,348 [INFO] Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:35,798 [INFO]     step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:39:56,404 [INFO]     step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:40:17,730 [INFO]     step:15000 t_sim:1500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:15000 t_sim:1500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:40:38,490 [INFO]     step:20000 t_sim:2000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:20000 t_sim:2000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:40:38,524 [INFO] Simulation completed in 83.18 seconds \n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Simulation completed in 83.18 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.L5_updated.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76b4dafc-4f86-4013-aee0-3188269e5a43",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "### 1.3. Example: Loading a python-based neuronal model into your simulation <a class=\"anchor\" id=\"example-python-models\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc168bf2-4487-40a7-96b0-b00ad0748336",
+   "metadata": {},
+   "source": [
+    "Often, rather than being written in old .hoc format, scientists may instead release their models written in Python. For example, in this [mouse Purkinje cell model](https://github.com/OpenSourceBrain/267694/tree/main/mouse_model), the model is itself saved in the `Purkinje_morph_1.Purkinje_Morph_1` Python class. In nearly the same manner as we did with the .hoc files above, we can import these Python-based single-cell models into our network to use with BMTK.\n",
+    "\n",
+    "As before, we must download the necessary files, but in this case, the *.py files, including the file containing the cell-model class/template, should be in the same directory as our `run_bionet.py` script so that we may import it. Also, the Python script expects the .asc morphology file to be hard-coded in the path **./morphology/soma_10c.asc**, so we'll put it there instead of the normal components directory (unless you want to edit the file).\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "629ba385-8115-498c-bb3f-d900047ddba2",
+   "metadata": {},
+   "source": [
+    "When we build our population of Purkinje cells, the \"model_template\" will have schema value `python` and a value that is just the name of the resources, e.g., the python class `Purkinje_morph_1`.\n",
+    "\n",
+    "```\n",
+    "net.add_nodes( \n",
+    "    pop_name='Scnn1a',\n",
+    "    model_type='biophysical',\n",
+    "    model_template='python:Purkinje_morph_1',\n",
+    "    spines_on=0\n",
+    ")\n",
+    "```\n",
+    "\n",
+    "So that BMTK can load the template, we will once again register a special function using the `cell_model` decorator. The class can be built with or without dendritic spines, which we are required to pass in. The `__init__` method of `Purkinje_Morpho_1` will build the model for each given cell, which we will pass back to BTMK.\n",
+    "\n",
+    "Also, for good measure, we added some optional logging."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "4d416c2d-a536-408a-bd35-c476e846d547",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "from bmtk.simulator.bionet.io_tools import io\n",
+    "from Purkinje_morpho_1 import Purkinje_Morpho_1\n",
+    "\n",
+    "@bionet.cell_model(directive='python:Purkinje_morph_1', model_type='biophysical')\n",
+    "def loadPurkinjeModel(cell, template_name, dynamics_params):\n",
+    "    io.log_info(f'Loading cell {cell.node_id}, tempalate {template_name}, with spines_on={cell[\"spines_on\"]}')\n",
+    "    cell = Purkinje_Morpho_1(cell['spines_on'])\n",
+    "    return cell"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "004d316b-6f4f-4d99-b521-ece8c51c9bdc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:40:38,556 [INFO] Created log file\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Created log file\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-10-21 18:40:38,613 [INFO] Building cells.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building cells.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:40:38,614 [INFO] Loading cell 0, tempalate Purkinje_morph_1, with spines_on=0\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Loading cell 0, tempalate Purkinje_morph_1, with spines_on=0\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "3856 lines read\n",
+      "indiv number 138\n",
+      "2024-10-21 18:40:38,784 [INFO] Loading cell 1, tempalate Purkinje_morph_1, with spines_on=1\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Loading cell 1, tempalate Purkinje_morph_1, with spines_on=1\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "3856 lines read\n",
+      "indiv number 138\n",
+      "spine active!!\n",
+      "dend_total_len 7680\n",
+      "list_dend_complete 7680\n",
+      "somma_location_spines 7680\n",
+      "spines_placed 0\n",
+      "spines_placed 500\n",
+      "spines_placed 1000\n",
+      "spines_placed 1500\n",
+      "spines_placed 2000\n",
+      "spines_placed 2500\n",
+      "spines_placed 3000\n",
+      "spines_placed 3500\n",
+      "spines_placed 4000\n",
+      "spines_placed 4500\n",
+      "spines_placed 5000\n",
+      "spines_placed 5500\n",
+      "spines_placed 6000\n",
+      "spines_placed 6500\n",
+      "spines_placed 7000\n",
+      "spines_placed 7500\n",
+      "spines_syn:  spine_head_0\n",
+      "spines_syn:  spine_head_5000\n",
+      "spine_head_aa        between 0 - 0.3     -> 0\n",
+      "spine_head_aa_SC     between 0.3 - 0.75  -> 1494\n",
+      "spine_head_pf_SC     between 0.75 - 1.5  -> 6184\n",
+      "!!!!!!!!!!!!!!!       spine_total 7678        !!!!!!!!!!!!!!!\n",
+      "2024-10-21 18:40:39,509 [INFO] Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:40:39,574 [INFO] Building virtual cell stimulations for virt_spikes\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building virtual cell stimulations for virt_spikes\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:40:39,590 [INFO] Running simulation for 1000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Running simulation for 1000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:40:39,591 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:40:39,592 [INFO] Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:43:40,420 [INFO]     step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,760 [INFO]     step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,787 [INFO] Simulation completed in 5.0 minutes, 54.2 seconds \n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Simulation completed in 5.0 minutes, 54.2 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.purkinje.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "642172f8-b7f3-4216-8a67-15e530b97c94",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "### 1.4. Example: Building your own python-based cell models <a class=\"anchor\" id=\"example-custom-cells\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ee20e24c-9767-44b8-9701-280526f7a379",
+   "metadata": {},
+   "source": [
+    "Another option is to build a cell instance yourself using the NEURON Python API. As with above, you just need to change the **model_template** parameter for the given cell(s) you want to build from scratch and create your own `@cell_model` function that will be called prior to the simulation to generate individual NEURON cell instances for appropriate node in the network. The code can be put inside your **run_bionet.py** script or imported from another file in the same directory.\n",
+    "\n",
+    "The following example is a simple model taken from the [NEURON ball-and-stick tutorial](https://neuron.yale.edu/neuron/docs/ball-and-stick-model-part-1) (See *build_network.ball_and_stick.py* file see how the network was created)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "9a309390-dbc4-4caf-8bfc-3a0a742d77f9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "from bmtk.simulator.bionet.io_tools import io\n",
+    "from neuron import h\n",
+    "\n",
+    "class BallAndStick:\n",
+    "    def __init__(self, cell):\n",
+    "        self._gid = cell['node_id']\n",
+    "        self._setup_morphology(cell)\n",
+    "        self._setup_biophysics(cell)\n",
+    "\n",
+    "    def _setup_morphology(self, cell):\n",
+    "        self.soma = h.Section(name='soma', cell=self)\n",
+    "        self.dend = h.Section(name='dend', cell=self)\n",
+    "        self.all = [self.soma, self.dend]\n",
+    "        self.dend.connect(self.soma)\n",
+    "        self.soma.L = self.soma.diam = 12.6157\n",
+    "        self.dend.L = 200\n",
+    "        self.dend.diam = 1\n",
+    "    \n",
+    "    def _setup_biophysics(self, cell):\n",
+    "        for sec in self.all:\n",
+    "            sec.Ra = 100    # Axial resistance in Ohm * cm\n",
+    "            sec.cm = 1      # Membrane capacitance in micro Farads / cm^2\n",
+    "        self.soma.insert('hh')                                          \n",
+    "        for seg in self.soma:\n",
+    "            seg.hh.gnabar = cell['gnabar']  # Sodium conductance in S/cm2\n",
+    "            seg.hh.gkbar = cell['gkbar']  # Potassium conductance in S/cm2\n",
+    "            seg.hh.gl = cell['gl']    # Leak conductance in S/cm2\n",
+    "            seg.hh.el = cell['el']     # Reversal potential in mV\n",
+    "        # Insert passive current in the dendrite                       # <-- NEW\n",
+    "        self.dend.insert('pas')                                        # <-- NEW\n",
+    "        for seg in self.dend:                                          # <-- NEW\n",
+    "            seg.pas.g = cell['g_pas']  # Passive conductance in S/cm2  # <-- NEW\n",
+    "            seg.pas.e = cell['e_pas']    # Leak reversal potential mV  # <-- NEW \n",
+    "    \n",
+    "    def __repr__(self):\n",
+    "        return 'BallAndStick[{}]'.format(self._gid)\n",
+    "\n",
+    "@bionet.cell_model(directive='python:loadBAS', model_type='biophysical')\n",
+    "def loadPurkinjeModel(cell, template_name, dynamics_params):\n",
+    "    bas_cell = BallAndStick(cell)\n",
+    "    io.log_info(f'Adding {bas_cell} to network')\n",
+    "    return bas_cell\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "dd9efc30-b0cd-4f2c-8ace-d214f43a5e16",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,816 [INFO] Created log file\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Created log file\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-10-21 18:46:33,859 [INFO] Building cells.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "NEURON: Biophys : a template cannot be redefined\n",
+      " in Biophys.hoc near line 1\n",
+      " begintemplate Biophys\n",
+      "                     ^\n",
+      "        xopen(\"Biophys.hoc\")\n",
+      "      execute1(\"{xopen(\"Bi...\")\n",
+      "    load_file(\"Biophys.hoc\")\n",
+      "NEURON: L5PCbiophys : a template cannot be redefined\n",
+      " in L5PCbiophys4.hoc near line 10\n",
+      " begintemplate L5PCbiophys\n",
+      "                         ^\n",
+      "        xopen(\"L5PCbiophy...\")\n",
+      "      execute1(\"{xopen(\"L5...\")\n",
+      "    load_file(\"L5PCbiophy...\")\n",
+      "NEURON: L5PCtemplate : a template cannot be redefined\n",
+      " in L5PCtemplate.hoc near line 8\n",
+      " begintemplate L5PCtemplate\n",
+      "                          ^\n",
+      "        xopen(\"L5PCtempla...\")\n",
+      "      execute1(\"{xopen(\"L5...\")\n",
+      "    load_file(\"L5PCtempla...\")\n",
+      "NEURON: HNTemplate : a template cannot be redefined\n",
+      " in HNTemplate.hoc near line 1\n",
+      " begintemplate HNTemplate\n",
+      "                        ^\n",
+      "        xopen(\"HNTemplate.hoc\")\n",
+      "      execute1(\"{xopen(\"HN...\")\n",
+      "    load_file(\"HNTemplate.hoc\")\n",
+      "INFO:NEURONIOUtils:Building cells.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,862 [INFO] Adding BallAndStick[0] to network\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Adding BallAndStick[0] to network\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,864 [INFO] Adding BallAndStick[1] to network\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Adding BallAndStick[1] to network\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,866 [INFO] Adding BallAndStick[2] to network\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Adding BallAndStick[2] to network\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,868 [INFO] Adding BallAndStick[3] to network\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Adding BallAndStick[3] to network\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,870 [INFO] Adding BallAndStick[4] to network\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Adding BallAndStick[4] to network\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,872 [INFO] Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,935 [INFO] Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,974 [INFO] Running simulation for 2000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Running simulation for 2000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,975 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:46:33,976 [INFO] Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:49:33,651 [INFO]     step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:52:27,649 [INFO]     step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:55:22,206 [INFO]     step:15000 t_sim:1500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:15000 t_sim:1500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:58:17,138 [INFO]     step:20000 t_sim:2000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:20000 t_sim:2000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:58:17,161 [INFO] Simulation completed in 11.0 minutes, 43.19 seconds \n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Simulation completed in 11.0 minutes, 43.19 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.ball_and_stick.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a3f5e4e4-5321-4bd0-a0ae-7f066940ceac",
+   "metadata": {},
+   "source": [
+    "For more information on how to build cells from scratch using NEURON see the [official documentation](https://www.neuron.yale.edu/neuron/static/py_doc/modelspec/programmatic/topology.html)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3c8bec31-7364-4dce-b6eb-f2fd9691225e",
+   "metadata": {},
+   "source": [
+    "## 2. Modifying an existing cell model<a class=\"anchor\" id=\"mod-existing-cell-model\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e467baa9-9dd9-4707-8b40-d2e20f6b7d50",
+   "metadata": {},
+   "source": [
+    "Very often, modelers may want to use an already existing cell model but make some minor changes of their own. For example, you may want to download a prebuilt channel mechanic (in the form of a .mod or .hoc file) to insert into a subset of an already existing network. You may want to edit the cell morphologies to add or remove sections of the neuron. You may want to adjust the channel densities based on the location of the section.\n",
+    "\n",
+    "One option to achieve this is to take an existing Hoc, Python, NeuroML, etc., cell model template and manually edit the file! This is **NOT** a good option for multiple reasons; your changes may lead to unintended side-effects - especially if you're not familiar with the language or how it was created. On top of that, having to rebuild the network and have multiple versions of a Hoc/Python template can be tedious if you are trying to test and debug your changes on the fly."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "efd97775-98a0-41c3-b755-91912b4de19d",
+   "metadata": {},
+   "source": [
+    "**Solution**\n",
+    "\n",
+    "SONATA and BMTK provide support for making changes to an already instantiated cell model using the [**model_processing**](https://github.com/AllenInstitute/sonata/blob/master/docs/SONATA_DEVELOPER_GUIDE.md#nodes---optional-reserved-attributes) attribute. When an attribute is defined for a subpopulation of cells, it defines a directive and/or function to call on said cell immediately after it has been initialized.\n",
+    "\n",
+    "In BMTK, implementing your own custom function for \"model_processing\" is done in the same manner as with cell-loading. You can use the `@model_processing` decorator to a function that is inside or called in your *run_bionet.py* script.\n",
+    "\n",
+    "```python\n",
+    "from bmtk.simulator.bionent import model_processing\n",
+    "\n",
+    "@model_processing\n",
+    "def process_my_cell(hoc_obj, cell, dynamics_params):\n",
+    "    updated_hoc_obj = # ... modify hoc object based on parameters stored in cell and/or dynamics params.\n",
+    "    return updated_hoc_obj\n",
+    "```\n",
+    "\n",
+    "Then, when building the cells (or by editing either the nodes.h5 or node_types.csv file), you can add a reference to the `process_my_cell` function.\n",
+    "\n",
+    "```python\n",
+    "net.add_nodes(\n",
+    "    model_type='biophysical',\n",
+    "    model_template='hoc:Biophys1',\n",
+    "    model_processing='process_my_cell`,\n",
+    "    ...\n",
+    ")\n",
+    "```\n",
+    "\n",
+    "BMTK will also allow you to call multiple *model_process` functions in sequence by separating the calls by a comma:\n",
+    "\n",
+    "```python\n",
+    "net.add_nodes(\n",
+    "    model_type='biophysical',\n",
+    "    model_template='hoc:Biophys1',\n",
+    "    model_processing='process_cell_1,process_cell_2`,\n",
+    "    ...\n",
+    ")\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16035559-b787-464b-9dce-966715524956",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "### 2.1. Example: Adding customized mechanisms into an existing cell model <a class=\"anchor\" id=\"model-processing-added-mech\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "577e0532-3a4e-4d11-9837-0828b5a65b27",
+   "metadata": {},
+   "source": [
+    "Besides cell models, repositories like ModelDB and Open Source Brain also contain a wide array of membrane density mechanisms (e.g., currents, and channels) that we may want to add to our own existing cell models. In NEURON, these are typically written as .mod files in the NMODL language and require pre-compilation using the *nrnivmodl* command. \n",
+    "\n",
+    "In this example, we will try downloading arbitrary sodium channel models and show how we can dynamically insert them into our L5 cells using the `@model_processing` directive."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "988c638f-e0d1-466a-afe9-15e4fc1a3cc4",
+   "metadata": {},
+   "source": [
+    "#### Step 1: Downloading and compiling mechanisms\n",
+    "\n",
+    "First, we will find mechanisms models (e.g., .mod) files to use in our models. Here we [randomly choose sodium channels](https://modeldb.science/140249?tab=1) from ModelDB. Click on the download button to download the files.\n",
+    "\n",
+    "We would then need to move the downloaded .mod files into the *components/mechansism/modfiles* and rerun the command `cd components/mechanisms && nrnivmodl`. However, to make things more logical, BMTK allows us to have multiple *mechanisms* directories, so if it turns in the end, we don't want to use the new mechanisms, they will be easier to delete. Instead, we will put the .mod files into *components/dLGN_mechanisms/modfiles*, and run `nrnivmodl` from the new directory. Then, to make sure BMTK knows where to find the new mechanisms, we need to update the components section of the SONATA config:\n",
+    "\n",
+    "```json\n",
+    "\"components\": {\n",
+    "    \"templates_dir\": \"$COMPONENTS_DIR/templates\",\n",
+    "    \"mechanisms_dir\": [\n",
+    "        \"$COMPONENTS_DIR/mechanisms\", \n",
+    "        \"$COMPONENTS_DIR/dLGN_mechanisms\"\n",
+    "    ],\n",
+    "    ...\n",
+    "}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2022b063-a091-4963-9860-a1ffaaf448bd",
+   "metadata": {},
+   "source": [
+    "#### Step 2: Setting directive for a population of neurons\n",
+    "\n",
+    "We need to make minor updates to our build network so that every subset of cells that will have these new mechanisms added will have model_processing attribute pointing to our customized post-initialization function.\n",
+    "\n",
+    "```python\n",
+    "net.add_nodes(\n",
+    "    N=1,\n",
+    "    model_type='biophysical',\n",
+    "    model_template='hoc:L5PCtemplate',\n",
+    "    morphology='cell3.asc',\n",
+    "    model_processing='add_channels'\n",
+    ")\n",
+    "```\n",
+    "\n",
+    "Or if you don't want to rebuild the entire network, you can also just add a **model_processing** to the node_types.csv."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a68bc00a-207d-4c46-8372-c301d5d771d2",
+   "metadata": {},
+   "source": [
+    "#### Step 3: Add model_processing function and run\n",
+    "\n",
+    "Now, we can add our customized `add_channels` function, which will be called for each applicable cell right before the simulation. Like with the `@cell_model` directive, the function can be placed inside or imported into our *run_bionet.py* script, has a predefined signature, and should return an HOC instantiated cell object.\n",
+    "\n",
+    "Here, we will have our `add_channels` simply iterate through each section of the cell and insert the downloaded compiled IC channel:\n",
+    "```\n",
+    "@bionet.model_processing\n",
+    "def add_channels(hoc_obj, cell, dynamics_params):\n",
+    "    for sec in hoc_obj.all:\n",
+    "        if 'axon' in sec.name():\n",
+    "            continue\n",
+    "\n",
+    "        sec.insert('iahp')\n",
+    "        setattr(sec, 'gkbar_iahp', 3.0e-04)\n",
+    "        setattr(sec, 'taum_iahp', 0.5)\n",
+    "        \n",
+    "    return hoc_obj\n",
+    "```\n",
+    "Notes:\n",
+    "* For most models, we can use the `.all` property to iterate through every section of the cell. Depending on the model, you may also have section iterators like `.soma`, `.axon`, `.dend`, `.apical`, `.basal`.\n",
+    "* We don't want to insert IC channels into the axon sections. Unfortunately, there is no flag to indicate if a section is a soma, axon, dend, etc. So instead, we use the section's `name` to spike axons (Typically, a section name for a HOC or Python template will be **TemplateName\\[cell_id\\].axon\\[sec_num\\]**\n",
+    "* Next, we use the `.insert` command to insert the channel into our section\n",
+    "* We use the Python' setattr' function to change the default values of parameters. The specific mod file will determine which parameters can be changed and their range.\n",
+    "\n",
+    "You can run an example using:\n",
+    "```\n",
+    "$ python run.added_channels.py config.added_channels.json\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a3c29c73-4d20-4590-9a7b-f4068ef72906",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "### 2.2. Example: Modifying channel conductance in an instantiated cell.  <a class=\"anchor\" id=\"model-processing-channel-conductance\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e082778-9f86-4e8c-b9eb-1361868abd17",
+   "metadata": {},
+   "source": [
+    "Another thing we can also use the `@model_processing` directive is to update intrinsic properties, or even the morphology and topology, of a given cell right before running a simulation. \n",
+    "\n",
+    "In this example, we will want to take an already existing model and modify the conductance of the hyperpolarization-activated channels (**Ih**) in the apical dendrites based on their distance from the soma. After some investigation, we find that the conductance for our model is controlled by the parameter `gbar_Ih`. So, we want to half this parameter for all sections that are at a certain arc-length distance from the soma. We define `model_processing` function `adjust_densities`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "c2bd8ff4-0ed7-4cfc-aa97-453272362079",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "from bmtk.simulator.bionet.io_tools import io\n",
+    "\n",
+    "@bionet.model_processing\n",
+    "def adjust_densities(hoc_obj, cell, dynamics_params):\n",
+    "    n_segs = 0\n",
+    "    n_segs_updated = 0\n",
+    "    for sec in hoc_obj.apic:\n",
+    "        for seg in sec:\n",
+    "            n_segs += 1\n",
+    "            if h.distance(seg) > 1000:\n",
+    "                n_segs_updated += 1\n",
+    "                org_cond = getattr(seg, 'gbar_Ih')\n",
+    "                new_cond = org_cond*0.5\n",
+    "                setattr(seg, 'gbar_Ih', new_cond)\n",
+    "                \n",
+    "    io.log_info(f'{n_segs_updated} out of {n_segs} apical dendritic segments updated.')\n",
+    "    return hoc_obj\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "db0eb4a8-6759-456a-becf-bc46df2b4cc9",
+   "metadata": {},
+   "source": [
+    "Some notes to consider about this function:\n",
+    "* To only iterate through the **apic** section types (which will ignore soma, axon, and basal section), we use `hoc_obj.apic` list instead of `hoc_obj.all` as we did with the previous example\n",
+    "* A section may be partitioned into one or more segments. Each section will have the same attributes and inserted mechanisms. However, the actual property values of each individual segment, like distance and conductance, may vary. Hence, we need to update each individual segment of each section using the code:\n",
+    "```python\n",
+    "    for section in hoc_obj.all:\n",
+    "        for segment in section:\n",
+    "            ....\n",
+    "```\n",
+    "* [`h.distance(seg)`](https://www.neuron.yale.edu/neuron/static/new_doc/modelspec/programmatic/topology/geometry.html#distance) is a built-in NEURON function that measures arc-length from each segment to the soma, in microns. Only segments that are >1000 um will have their Ih conductances reduced. The rest will be left to default value.\n",
+    "* We use the built-in Python functions `getattr` and `setattr` to fetch and set the gbar_Ih value of each segment object.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "4709c87c-9bf5-400d-990c-6bb87cdbec73",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:58:17,186 [INFO] Created log file\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Created log file\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-10-21 18:58:17,220 [INFO] Building cells.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building cells.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:58:17,979 [INFO] 262 out of 573 apical dendritic segments updated.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:262 out of 573 apical dendritic segments updated.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:58:17,982 [INFO] Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:58:18,045 [INFO] Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:58:18,065 [INFO] Running simulation for 2000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Running simulation for 2000.000 ms with the time step 0.100 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:58:18,067 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Starting timestep: 0 at t_sim: 0.000 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 18:58:18,068 [INFO] Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Block save every 5000 steps\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 19:01:19,953 [INFO]     step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:5000 t_sim:500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 19:04:13,908 [INFO]     step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:10000 t_sim:1000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 19:07:06,708 [INFO]     step:15000 t_sim:1500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:15000 t_sim:1500.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 19:09:59,401 [INFO]     step:20000 t_sim:2000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:    step:20000 t_sim:2000.00 ms\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 19:09:59,432 [INFO] Simulation completed in 11.0 minutes, 41.37 seconds \n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Simulation completed in 11.0 minutes, 41.37 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.modified_densities.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d747b8e0-e8d0-49cf-9f99-21420d8e417c",
+   "metadata": {},
+   "source": [
+    "#### Help with investigating and updating a model\n",
+    "\n",
+    "Trying to figure out what mechanisms, section types, and other parameters of instantiated HOC cell can be tricky, as can trying to figure out how to change an existing cell. A good place to start is by looking through the official NEURON documentation [1](https://www.neuron.yale.edu/neuron/static/new_doc/modelspec/programmatic/topology/geometry.html) [2](https://www.neuron.yale.edu/neuron/static/new_doc/modelspec/programmatic/topology/geometry.html). One useful function is the `h.psection()` that will provide valuable information about each section/segment of a cell.\n",
+    "\n",
+    "Below, we can overwrite the previous version of `adjust_densities` with one that will print information about each section type (although only for the first section of each type - there are 1200+ sections in total, so we won't try to print them all out). Not only is this helpful for inspecting the cell, it shows how useful it can be to change the way cells are processed on the fly.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "5ee753b8-9267-4e0b-951c-dd7db5a785c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 19:09:59,446 [INFO] Created log file\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Created log file\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-10-21 19:09:59,464 [INFO] Building cells.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building cells.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "L5PCtemplate[16].apic[0]\n",
+      "{'Ra': 100.0,\n",
+      " 'cell': L5PCtemplate[16],\n",
+      " 'cm': [2.0],\n",
+      " 'density_mechs': {'CaDynamics_E2': {'decay': [35.725651],\n",
+      "                                     'depth': [0.1],\n",
+      "                                     'gamma': [0.000637],\n",
+      "                                     'minCai': [0.0001]},\n",
+      "                   'Ca_HVA': {'g': [0.0],\n",
+      "                              'gbar': [1e-05],\n",
+      "                              'h': [0.0],\n",
+      "                              'ica': [0.0],\n",
+      "                              'm': [0.0]},\n",
+      "                   'Ca_LVAst': {'gCa_LVAst': [0.0],\n",
+      "                                'gCa_LVAstbar': [0.00141954],\n",
+      "                                'h': [0.0],\n",
+      "                                'ica': [0.0],\n",
+      "                                'm': [0.0]},\n",
+      "                   'Ih': {'g': [0.0],\n",
+      "                          'gbar': [0.0001309879],\n",
+      "                          'ihcn': [0.0],\n",
+      "                          'm': [0.0],\n",
+      "                          'shift1': [154.9],\n",
+      "                          'shift2': [11.9],\n",
+      "                          'shift3': [0.0],\n",
+      "                          'shift4': [33.1],\n",
+      "                          'shift5': [6.43],\n",
+      "                          'shift6': [193.0]},\n",
+      "                   'Im': {'g': [0.0], 'gbar': [1e-05], 'ik': [0.0], 'm': [0.0]},\n",
+      "                   'NaTs2_t': {'gNaTs2_t': [0.0],\n",
+      "                               'gNaTs2_tbar': [0.021489],\n",
+      "                               'h': [0.0],\n",
+      "                               'ina': [0.0],\n",
+      "                               'm': [0.0]},\n",
+      "                   'SK_E2': {'gSK_E2': [0.0],\n",
+      "                             'gSK_E2bar': [2e-06],\n",
+      "                             'ik': [0.0],\n",
+      "                             'z': [0.0]},\n",
+      "                   'SKv3_1': {'gSKv3_1': [0.0],\n",
+      "                              'gSKv3_1bar': [0.001808],\n",
+      "                              'ik': [0.0],\n",
+      "                              'm': [0.0]},\n",
+      "                   'pas': {'e': [-90.0], 'g': [6e-05], 'i': [0.0]}},\n",
+      " 'hoc_internal_name': '__nrnsec_0x55555e538290',\n",
+      " 'ions': {'ca': {'cai': [5e-05],\n",
+      "                 'cao': [2.0],\n",
+      "                 'dica_dv_': [0.0],\n",
+      "                 'eca': [132.4579341637009],\n",
+      "                 'ica': [0.0]},\n",
+      "          'k': {'dik_dv_': [0.0],\n",
+      "                'ek': [-85.0],\n",
+      "                'ik': [0.0],\n",
+      "                'ki': [54.4],\n",
+      "                'ko': [2.5]},\n",
+      "          'na': {'dina_dv_': [0.0],\n",
+      "                 'ena': [50.0],\n",
+      "                 'ina': [0.0],\n",
+      "                 'nai': [10.0],\n",
+      "                 'nao': [140.0]}},\n",
+      " 'morphology': {'L': 16.729761891618992,\n",
+      "                'diam': [8.118265357665159],\n",
+      "                'parent': L5PCtemplate[16].soma[0](0.5),\n",
+      "                'pts3d': [(-39.77000045776367,\n",
+      "                           29.8799991607666,\n",
+      "                           -24.969999313354492,\n",
+      "                           9.550000190734863),\n",
+      "                          (-39.77000045776367,\n",
+      "                           29.8799991607666,\n",
+      "                           -24.969999313354492,\n",
+      "                           9.550000190734863),\n",
+      "                          (-39.54999923706055,\n",
+      "                           33.040000915527344,\n",
+      "                           -26.06999969482422,\n",
+      "                           8.640000343322754),\n",
+      "                          (-38.86000061035156,\n",
+      "                           37.06999969482422,\n",
+      "                           -27.100000381469727,\n",
+      "                           7.730000019073486),\n",
+      "                          (-37.95000076293945,\n",
+      "                           39.939998626708984,\n",
+      "                           -27.56999969482422,\n",
+      "                           7.730000019073486),\n",
+      "                          (-37.5,\n",
+      "                           42.2400016784668,\n",
+      "                           -27.56999969482422,\n",
+      "                           7.730000019073486),\n",
+      "                          (-37.04999923706055,\n",
+      "                           45.689998626708984,\n",
+      "                           -29.020000457763672,\n",
+      "                           7.730000019073486)],\n",
+      "                'trueparent': L5PCtemplate[16].soma[0](0.5)},\n",
+      " 'name': 'L5PCtemplate[16].apic[0]',\n",
+      " 'nseg': 1,\n",
+      " 'point_processes': {},\n",
+      " 'regions': set(),\n",
+      " 'species': set()}\n",
+      "2024-10-21 19:10:00,357 [INFO] Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 19:10:00,363 [INFO] Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:NEURONIOUtils:Building virtual cell stimulations for virt_exc_spikes\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "@bionet.model_processing(name='adjust_densities')\n",
+    "def check_mechanisms(hoc_obj, cell, dynamics_params):\n",
+    "    for sec in hoc_obj.apic:\n",
+    "        print(sec.name())\n",
+    "        pprint(sec.psection())\n",
+    "        break\n",
+    "\n",
+    "    return hoc_obj\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.modified_densities.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1dd8d48-ad1a-4790-9f19-040f053cb430",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/tutorial/01_opt_external_models/Hay_Model_SingleCell.ipynb b/docs/tutorial/01_opt_external_models/Hay_Model_SingleCell.ipynb
new file mode 100644
index 00000000..369a5803
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/Hay_Model_SingleCell.ipynb
@@ -0,0 +1,288 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9e6ef3db",
+   "metadata": {},
+   "source": [
+    "# Step 1. Build the cell"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "abe9d87f",
+   "metadata": {},
+   "source": [
+    "Here we just have to specify the name of the hoc-template and the morphology, files which should be found in `components/templates/` and `components/morphologies`, respectively.\n",
+    "\n",
+    "In this model, the dynamic params are built into the .hoc files so there is no need to specify a **dynamics_params** attribute. Similarly there is no need for axon post-processing in these models so we no longer have a **model_processing** attribute.\n",
+    "\n",
+    "The other attributes are optional and can be removed or used for the Hay model specifically."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cf9f4baa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:root:No edges have been made for this network, skipping saving of edges file.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.builder.networks import NetworkBuilder\n",
+    "\n",
+    "net = NetworkBuilder('cell')\n",
+    "net.add_nodes(\n",
+    "    N=1,\n",
+    "    model_type='biophysical',\n",
+    "    model_template='hoc:L5PCtemplate.hoc',\n",
+    "    morphology='cell3.asc',\n",
+    "    \n",
+    "    # optional\n",
+    "    # ei_type='exc',\n",
+    "    # model_name='Scnn1a',\n",
+    "    # species='mouse',\n",
+    "    # location='VISp',\n",
+    "    # layer='L4'\n",
+    ")\n",
+    "net.build()\n",
+    "net.save(output_dir='network')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d4887333",
+   "metadata": {},
+   "source": [
+    "\n",
+    "Next, we can add synaptic inputs like we did in the workshop. Note that some properties like **target_sections** and **syn_weight** can and should be adjusted according to the target model type."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "38cdd4b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "virt_exc = NetworkBuilder('virt_exc')\n",
+    "virt_exc.add_nodes(\n",
+    "    N=20,\n",
+    "    model_type='virtual',\n",
+    "    ei_type='exc'\n",
+    ")\n",
+    "conns = virt_exc.add_edges(\n",
+    "    source=virt_exc.nodes(),\n",
+    "    target=net.nodes(),\n",
+    "    connection_rule=12,\n",
+    "    model_template='Exp2Syn',\n",
+    "    dynamics_params='AMPA_ExcToExc.json',\n",
+    "    distance_range=[0.0, 1.0e20],\n",
+    "    target_sections=['soma', 'basal', 'apical'],\n",
+    "    delay=2.0,\n",
+    "    syn_weight=0.01\n",
+    ")\n",
+    "\n",
+    "virt_exc.build()\n",
+    "virt_exc.save(output_dir='network')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d3230a4d",
+   "metadata": {},
+   "source": [
+    "# Step 2: Running the model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06ba21d8",
+   "metadata": {},
+   "source": [
+    "To create a cell object from the L5PCtemplate.hoc, we need some specialized code to load in the NEURON template. To do that, we create a special function called loadHayModel that includes customized Python instructions for initializing and building our cell. \n",
+    "\n",
+    "We use the custom Python **decorator** `@bionet.cell_model` to tell BMTK that whenever a cell has **model_template=hoc:L5PCtemplate.hoc\"**, it should call the `loadHayModel` function, which will build the cell and return it as a HOC object. We can also use the `cell_model` template for loading other models, if necessary."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a8f05216",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "from neuron import h\n",
+    "\n",
+    "\n",
+    "h.load_file(\"import3d.hoc\")\n",
+    "\n",
+    "@bionet.cell_model(directive='hoc:L5PCtemplate.hoc', model_type='biophysical')\n",
+    "def loadHayModel(cell, template_name, dynamics_params):\n",
+    "    morphology_file = cell['morphology']\n",
+    "    hobj = h.L5PCtemplate(str(morphology_file))\n",
+    "    return hobj"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8842ff7c",
+   "metadata": {},
+   "source": [
+    "After that the simulation can be ran like normal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a751669e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 11:29:02,857 [INFO] Created log file\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "NEURON: Import3d_Section : a template cannot be redefined\n",
+      " in import3d/import3d_sec.hoc near line 1\n",
+      " begintemplate Import3d_Section\n",
+      "                              ^\n",
+      "        xopen(\"import3d/i...\")\n",
+      "      xopen(\"import3d.hoc\")\n",
+      "    execute1(\"{xopen(\"im...\")\n",
+      "  load_file(\"/local1/wo...\")\n",
+      "NEURON: Im is not a MECHANISM\n",
+      " in L5PCbiophys4.hoc near line 22\n",
+      "   \tinsert Im \n",
+      "            ^\n",
+      "        xopen(\"L5PCbiophy...\")\n",
+      "  "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "NEURON mechanisms not found in ./components/mechanisms.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "    execute1(\"{xopen(\"L5...\")\n",
+      "    load_file(\"L5PCbiophy...\")\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 11:29:03,148 [INFO] Building cells.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "# conf = bionet.Config.from_json('config.iclamp.json')\n",
+    "conf = bionet.Config.from_json('config.with_syns.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1c4fef7b",
+   "metadata": {},
+   "source": [
+    "Like with the Allen Institute model, the Hay NEURON model will record variables like spikes, membrane traces, and other parameters that BMTK will instruct it to. The output is in the same format, and thus, we can read it like with the models we used in the workshop."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "fc6b31b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.spike_trains import plot_raster\n",
+    "from bmtk.analyzer.compartment import plot_traces\n",
+    "\n",
+    "_ = plot_raster(config_file='config.with_syns.json')\n",
+    "_ = plot_traces(config_file='config.with_syns.json', report_name='v_report')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6f7fa777",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/tutorial/01_opt_external_models/Purkinje_morpho_1.py b/docs/tutorial/01_opt_external_models/Purkinje_morpho_1.py
new file mode 100644
index 00000000..f20e5c87
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/Purkinje_morpho_1.py
@@ -0,0 +1,1054 @@
+from neuron import h
+import numpy as np
+import random
+import math
+import sys
+from random import choice
+
+from Purkinje_morpho_1_number import number_ind_1
+
+from Synapses import Synapse_py3
+
+class Purkinje_Morpho_1:
+    def __init__(self,spines_on = 0):
+        
+        h.load_file('stdlib.hoc')
+        h.load_file('import3d.hoc')
+        
+        cell = h.Import3d_Neurolucida3()
+        cell.input('morphology/soma_10c.asc')
+            
+        
+        i3d = h.Import3d_GUI(cell,0)
+        i3d.instantiate(self)
+        
+        #the file contains all the results for the population. Some are good, some are bad, some are ugly.
+        conductvalues = np.genfromtxt("R_01_final_pop.txt")
+        indiv_number = number_ind_1['indiv']
+        print( 'indiv number', indiv_number)
+        
+        
+        self.x = self.y = self.z = 0
+        def set_position(x, y, z):
+            for sec in self.all:
+                for i in range(sec.n3d()):
+                    sec.pt3dchange(i,
+                                x - self.x + sec.x3d(i),
+                                y - self.y + sec.y3d(i),
+                                z - self.z + sec.z3d(i),
+                                sec.diam3d(i))
+            self.x, self.y, self.z = x, y, z
+        
+        self.soma[0].nseg = 1 + (2 * int(self.soma[0].L / 40))
+        self.soma[0].cm = 2
+        self.soma[0].Ra = 122
+
+        self.soma[0].insert('Leak')
+        self.soma[0].e_Leak = -61
+        self.soma[0].gmax_Leak = 1E-3
+
+        self.soma[0].insert('Nav1_6')
+        self.soma[0].gbar_Nav1_6 = conductvalues[indiv_number, 14]
+        self.soma[0].ena = 60
+        
+        self.soma[0].insert('Kv1_1')
+        self.soma[0].gbar_Kv1_1 = conductvalues[indiv_number, 15]
+        
+        self.soma[0].insert('Kv1_5')
+        self.soma[0].gKur_Kv1_5 = conductvalues[indiv_number, 35]
+         
+        self.soma[0].insert('Kv3_4')
+        self.soma[0].gkbar_Kv3_4 = conductvalues[indiv_number, 16]
+        
+        self.soma[0].insert('Kir2_3')
+        self.soma[0].gkbar_Kir2_3 = conductvalues[indiv_number, 17]
+        
+        self.soma[0].insert('Cav2_1') 
+        self.soma[0].pcabar_Cav2_1 = conductvalues[indiv_number,18]
+        
+        self.soma[0].insert('Cav3_1') 
+        self.soma[0].pcabar_Cav3_1 = conductvalues[indiv_number,19]
+        
+        self.soma[0].insert('Cav3_2')
+        self.soma[0].gcabar_Cav3_2 =conductvalues[indiv_number,20]
+        
+        self.soma[0].insert('Cav3_3')
+        self.soma[0].pcabar_Cav3_3 = conductvalues[indiv_number,21]
+
+        self.soma[0].insert('Kca1_1')
+        self.soma[0].gbar_Kca1_1 = conductvalues[indiv_number,22]
+        
+        self.soma[0].insert('Kca2_2') 
+        self.soma[0].gkbar_Kca2_2 = conductvalues[indiv_number,23]
+        
+        self.soma[0].insert('Kca3_1')
+        self.soma[0].gkbar_Kca3_1 = conductvalues[indiv_number,24]    
+        self.soma[0].ek = -88
+        
+        self.soma[0].insert('HCN1')
+        self.soma[0].gbar_HCN1 = conductvalues[indiv_number,25]
+        self.soma[0].eh = -34.4        
+        
+        self.soma[0].insert('cdp5_CAM')
+        
+        self.soma[0].TotalPump_cdp5_CAM = 5e-8
+        
+        self.soma[0].push()
+        self.soma[0].eca = 137.52625 
+        
+        h.define_shape()
+        if spines_on == 1: #only for spines
+            set_position(200, 962, 0)
+        h.pop_section()
+        
+        self.whatami = "prk"
+	
+#Dend coordinate
+	
+           
+        for d in self.dend:
+            d.Ra = 122
+            if spines_on == 1:
+                d.cm = 2
+            if spines_on == 0:    
+                d.cm = (11.510294 * math.exp( - 1.376463 * d.diam) + 2.120503)
+                
+            d.nseg = 1 + (2 * int(d.L / 40))
+            
+            d.insert('Leak')
+            d.e_Leak = -61
+            d.gmax_Leak = 0.0003
+            
+            d.insert('Kv3_3')
+            d.gbar_Kv3_3 = conductvalues[indiv_number,3]
+            
+            d.insert('Kv4_3')
+            d.gkbar_Kv4_3 = conductvalues[indiv_number,4]
+            
+            d.insert('Cav2_1') 
+            d.pcabar_Cav2_1 = conductvalues[indiv_number,6]*6
+            
+            d.insert('Cav3_3')
+            d.pcabar_Cav3_3 = conductvalues[indiv_number,9]
+        
+            d.insert('Kca1_1')
+            d.gbar_Kca1_1 = conductvalues[indiv_number,10]
+            
+            d.insert('HCN1')
+            d.gbar_HCN1 = conductvalues[indiv_number,13]
+            d.eh = -34.4
+            
+            d.insert('Kca2_2') 
+            d.gkbar_Kca2_2 = conductvalues[indiv_number,11]
+            
+            d.insert('cdp5_CAM')
+            
+            d.TotalPump_cdp5_CAM = 6e-8
+            
+            if d.diam >= 1.6:
+                d.cm = 2
+                
+                d.insert('Kv1_1')
+                d.gbar_Kv1_1 = conductvalues[indiv_number,1]
+                
+                d.insert('Kv1_5')
+                d.gKur_Kv1_5 = conductvalues[indiv_number,2]
+                
+                d.insert('Kir2_3')
+                d.gkbar_Kir2_3 = conductvalues[indiv_number,5]   
+                
+                d.insert('Cav3_1') 
+                d.pcabar_Cav3_1 = conductvalues[indiv_number,7]   
+                
+                d.insert('Cav3_2')
+                d.gcabar_Cav3_2 = conductvalues[indiv_number,8]
+                
+                d.insert('Kca3_1') 
+                d.gkbar_Kca3_1 = conductvalues[indiv_number,12]
+
+                if d.diam >=3.3:
+                    d.cm = 2
+                    d.insert('Nav1_6')
+                    d.gbar_Nav1_6 = conductvalues[indiv_number,0]    
+                    d.ena = 60
+            
+            d.ek = -88
+	    
+            d.push()
+            d.eca = 137.52625
+            h.pop_section()
+	
+        
+        
+#Axon AIS. First section after the soma[0]
+        self.axonAIS = h.Section(name='axonAIS')
+        self.axonAIS.L = 17 #from Foust 2010 and clark 2005 and Somogyi76
+        self.axonAIS.nseg = 1
+        self.axonAIS.diam = 0.97 #ito 1983
+        self.axonAIS.cm = 1
+        
+        self.axonAIS.Ra = 122
+        
+        self.axonAIS.insert('Leak')
+        self.axonAIS.e_Leak = -61
+        self.axonAIS.gmax_Leak = 0.0003
+        
+        self.axonAIS.insert('Nav1_6')
+        self.axonAIS.gbar_Nav1_6 = conductvalues[indiv_number,26]*1.5
+        self.axonAIS.ena = 60
+        
+        self.axonAIS.insert('Kv3_4')
+        self.axonAIS.gkbar_Kv3_4 = conductvalues[indiv_number,27]
+        self.axonAIS.ek = -88
+        
+        self.axonAIS.insert('Cav2_1') 
+        self.axonAIS.pcabar_Cav2_1 = conductvalues[indiv_number,28]
+        
+        self.axonAIS.insert('Cav3_1') 
+        self.axonAIS.pcabar_Cav3_1 = conductvalues[indiv_number,29]
+        
+        self.axonAIS.insert('cdp5_CAM')
+
+        self.axonAIS.TotalPump_cdp5_CAM = 2e-8
+	
+        self.axonAIS.push()
+        self.axonAIS.eca = 137.52625
+        h.pop_section()
+	
+#AISK
+	
+        self.axonAISK = h.Section(name='axonAISK')
+        self.axonAISK.L = 4 
+        self.axonAISK.nseg = 1
+        self.axonAISK.diam = 0.97 
+        self.axonAISK.cm = 1
+        
+        self.axonAISK.Ra = 122
+        
+        self.axonAISK.insert('Leak')
+        self.axonAISK.e_Leak = -61
+        self.axonAISK.gmax_Leak = 0.0003
+        
+        self.axonAISK.insert('Kv1_1')
+        self.axonAISK.gbar_Kv1_1 = conductvalues[indiv_number,30]
+        self.axonAISK.ek = -88 #aggiunto 28 gennaio 2016.
+
+
+	
+#First Myelination
+
+        self.axonmyelin = h.Section(name='axonmyelin')
+        self.axonmyelin.L = 100 #da 60 a 150um
+        self.axonmyelin.nseg = 1 + (2 * int(self.axonmyelin.L / 40))
+        self.axonmyelin.diam = 0.73
+        
+
+        self.axonmyelin.insert('pas') #from brill77
+        self.axonmyelin.e_pas = -61 #from brill77
+        self.axonmyelin.g_pas = 5.60e-9 #from brill77
+        self.axonmyelin.cm = 1.87e-11 #from brill77
+        self.axonmyelin.Ra = 122	
+	
+#NEW NODES of RANVIER
+		  
+        secnumber = 3
+	
+#The IN paranode
+        self.renv_node = [h.Section(name='renv_node'+str(x)) for x in range(secnumber)]
+
+        for a in self.renv_node:
+            a.L = 4
+            a.nseg = 1 #+ (2 * int(a.L / 40))
+            a.diam = 0.73
+            a.cm = 1
+            
+            a.Ra = 122
+            
+            a.insert('Leak')
+            a.e_Leak = -61
+            a.gmax_Leak = 0.0003
+            
+            a.insert('Nav1_6')
+            a.gbar_Nav1_6 = conductvalues[indiv_number,31] #0.03
+            a.ena = 60
+            
+            a.insert('Kv3_4')
+            a.gkbar_Kv3_4 = conductvalues[indiv_number,32] #0.02
+            a.ek = -88
+
+            a.insert('Cav2_1') 
+            a.pcabar_Cav2_1 = conductvalues[indiv_number,33] #1e-5
+
+            a.insert('Cav3_1') 
+            a.pcabar_Cav3_1 = conductvalues[indiv_number,34] #2.2e-4
+
+            a.insert('cdp5_CAM')
+                
+            a.TotalPump_cdp5_CAM = 5e-7
+            
+            a.push()
+            a.eca = 137.52625
+            h.pop_section() 
+	
+#Myelin sections
+        self.axoninode = [h.Section(name='axoninode'+str(x)) for x in range(secnumber)]
+        for d in self.axoninode:
+            d.L = 100 
+            d.nseg = 1 #+ (2 * int(d.L / 40))
+            d.diam = 0.73
+            
+            
+            d.insert('pas') #from brill77
+            d.e_pas = -61 #from brill77
+            d.g_pas = 5.60e-9 #from brill77
+            d.cm = 1.87e-11 #from brill77
+            d.Ra = 122
+
+
+#Collateral.
+        self.axoncoll = h.Section(name='axoncoll')
+        self.axoncoll.nseg = 1
+        self.axoncoll.diam = 0.6
+        self.axoncoll.L = 100
+        #self.axoncoll.Ra = 122 #critical
+
+        self.axoncoll.insert('Leak')
+        self.axoncoll.e_Leak = -61
+        self.axoncoll.gmax_Leak = 0.0003
+        
+        self.axoncoll.insert('Nav1_6')
+        self.axoncoll.gbar_Nav1_6 = 0.03 
+        self.axoncoll.ena = 60
+
+        self.axoncoll.insert('Kv3_4')
+        self.axoncoll.gkbar_Kv3_4 = 0.02  
+        self.axoncoll.ek = -88
+        
+        self.axoncoll.insert('Cav3_1') 
+        self.axoncoll.pcabar_Cav3_1 = 1e-5 
+        
+        self.axoncoll.insert('Cav2_1') 
+        self.axoncoll.pcabar_Cav2_1 = 2.2e-4 
+        
+        self.axoncoll.insert('cdp5_CAM')
+
+            
+        self.axoncoll.TotalPump_cdp5_CAM = 5e-7
+        
+        self.axoncoll.push()
+        h.ion_style("ca_ion", 1, 1, 0, 1, 0) 
+        self.axoncoll.eca = 137.52625
+        self.axoncoll.cai = h.cai0_ca_ion
+        self.axoncoll.cao = h.cao0_ca_ion
+        h.pop_section()
+        
+#Collateral second part
+        self.axoncoll2 = h.Section(name='axoncoll2')
+        self.axoncoll2.nseg = 1
+        self.axoncoll2.diam = 0.6
+        self.axoncoll2.L = 100
+        #self.axoncoll2.Ra = 122
+
+        self.axoncoll2.insert('Leak')
+        self.axoncoll2.e_Leak = -61
+        self.axoncoll2.gmax_Leak = 0.0003
+        
+        self.axoncoll2.insert('Nav1_6')
+        self.axoncoll2.gbar_Nav1_6 = 0.03 
+        self.axoncoll2.ena = 60
+
+
+        self.axoncoll2.insert('Kv3_4')
+        self.axoncoll2.gkbar_Kv3_4 = 0.02  
+        self.axoncoll2.ek = -88
+        
+        self.axoncoll2.insert('cdp5_CAM')
+        
+        self.axoncoll2.insert('Cav3_1') 
+        self.axoncoll2.pcabar_Cav3_1 = 1e-5 
+        
+        self.axoncoll2.insert('Cav2_1') 
+        self.axoncoll2.pcabar_Cav2_1 = 2.2e-4 
+        
+        self.axoncoll2.TotalPump_cdp5_CAM = 5e-7
+        
+        self.axoncoll2.push()
+        h.ion_style("ca_ion", 1, 1, 0, 1, 0) 
+        self.axoncoll2.eca = 137.52625
+        self.axoncoll2.cai = h.cai0_ca_ion
+        self.axoncoll2.cao = h.cao0_ca_ion
+        h.pop_section()	  
+	
+        self.axonAIS.connect(self.soma[0],0,0)
+        self.axonAISK.connect(self.axonAIS,1,0)
+        self.axonmyelin.connect(self.axonAISK,1,0)	#myelin1
+        self.renv_node[0].connect(self.axonmyelin,1,0)      #node1
+        self.axoninode[0].connect(self.renv_node[0],1,0)	#myelin2
+        self.renv_node[1].connect(self.axoninode[0],1,0)	#node2
+        self.axoninode[1].connect(self.renv_node[1],1,0)	#myelin3
+        self.renv_node[2].connect(self.axoninode[1],1,0)	#node3      
+        self.axoninode[2].connect(self.renv_node[2],1,0)	#myelin4
+        
+        self.axoncoll.connect(self.renv_node[1],1,0)
+        self.axoncoll2.connect(self.axoncoll,1,0)
+        
+        if spines_on == 1:
+            dend_index = []
+            dend_local_len = []
+            dend_len = []
+            spine_location = []	 
+            self.dend_spine = []
+            
+            #number of spikes per micron
+            spine_per_micron = 2
+            
+            for e in self.dend:
+                if e.diam >= 0 and e.diam < 1.5:
+                    self.dend_spine.append(e)
+                    
+            original_dend_index = []        
+            for old_index, section_acess in enumerate(self.dend):
+                if section_acess.diam >= 0 and section_acess.diam < 1.5:
+                    original_dend_index.append(old_index)
+           
+                       
+            for local_index, x_dend in enumerate(self.dend_spine):
+                dend_index.append(local_index)
+                dend_local_len.append(int(x_dend.L) * spine_per_micron)
+                
+                dend_len.append(int(x_dend.L) * spine_per_micron)
+                
+                to_list = np.linspace(0.05, 0.95, num = int(x_dend.L) * spine_per_micron)
+                spine_location.append(to_list.tolist())          
+        
+            dend_total_len = sum(dend_len)
+            info_dend = list(zip(dend_index,dend_local_len))
+            
+            info_dend_old_index = list(zip(original_dend_index,dend_local_len))
+            spine_number = int(dend_total_len) 
+            somma_location_spines = sum(spine_location,[])
+            
+
+            self.spine_head = [h.Section(name='spine_head_'+str(x)) for x in range(spine_number)]
+
+            for i in self.spine_head:
+                    i.nseg = 1
+                    i.diam = 1 
+                    i.cm = 2
+                    i.L = 0.35
+                    i.Ra = 122
+                    
+                    i.insert('Leak')
+                    i.e_Leak = -61
+                    i.gmax_Leak = 1e-5
+                    
+                    i.insert('Cav2_1') 
+                    i.pcabar_Cav2_1 = 1e-5
+                    
+                    i.insert('Cav3_1') 
+                    i.pcabar_Cav3_1 = 1e-6
+                    
+                    i.insert('Kca1_1')
+                    i.gbar_Kca1_1 = 0.01
+                    
+                    i.insert('Kca2_2') 
+                    i.gkbar_Kca2_2 = 1e-3
+                    
+                    i.insert('Kv4_3')
+                    i.gkbar_Kv4_3 =  0.005
+            
+                
+                    
+                    i.insert('cdp5_CAM')
+                    i.Nannuli_cdp5_CAM = 0.326 + (1.94 * (i.diam)) + (0.289*(i.diam)*(i.diam)) - ((3.33e-2)*(i.diam)*(i.diam)*(i.diam)) + ((1.55e-3)*(i.diam)*(i.diam)*(i.diam)*(i.diam)) - (2.55e-5*(i.diam)*(i.diam)*(i.diam)*(i.diam)*(i.diam))
+                    i.Buffnull2_cdp5_CAM = 64.2 - 57.3* math.exp(-(i.diam)/1.4)
+                    i.rf3_cdp5_CAM = 0.162 - 0.106* math.exp(-(i.diam)/2.29)
+                    i.rf4_cdp5_CAM = 0.003 
+                    
+                    i.push()
+                    h.ion_style("ca_ion", 1, 1, 0, 1, 0) 
+                    i.eca = 137.52625
+                    i.cai = h.cai0_ca_ion
+                    i.cao = h.cao0_ca_ion
+                    h.pop_section()
+                    
+                    i.TotalPump_cdp5_CAM = 7e-10
+	    
+#NECK OF THE SPINE
+            self.spine_neck = [h.Section(name='spine_neck_'+str(x)) for x in range(spine_number)]
+	    
+            for x in self.spine_neck:
+                x.nseg = 1
+                x.diam = 0.2 
+                x.cm = 3
+                x.L = 0.7 
+                x.Ra = 122 
+                
+                x.insert('Leak')
+                x.e_Leak = -61
+                x.gmax_Leak = 1e-5
+                
+		
+            for i,j in enumerate(self.spine_head):
+                j.connect(self.spine_neck[i],1,0)
+
+            print("spine active!!")
+            
+            list_dend_local = []
+            c,v = zip(*info_dend)
+            for i in range(len(info_dend)):
+                new_list = []
+                new_list = [c[i]]*v[i]
+                
+                
+                list_dend_local.append(new_list)
+            
+            list_dend_old_index = []
+            c_old,v_old = zip(*info_dend_old_index)
+            for i in range(len(info_dend_old_index)):
+                new_list_oldindex = []
+                
+                new_list_oldindex = [c_old[i]]*v_old[i]
+                
+                
+                list_dend_old_index.append(new_list_oldindex)
+            
+            list_dend_complete = sum(list_dend_local,[])
+            
+            list_dend_complete_oldindex = sum(list_dend_old_index,[])            
+            
+            
+            self.total_list = list(zip(range(dend_total_len), list_dend_complete, somma_location_spines))
+        
+            
+            print('dend_total_len', len(range(dend_total_len)))
+            print('list_dend_complete', len(list_dend_complete))
+            print('somma_location_spines', len(somma_location_spines))
+
+            spine_sec_aa = []
+            spine_sec_pf = []
+            spine_sec_aa_SC = []           
+            
+            spine_print_list = range(0, len(self.total_list), 500)
+
+
+            c_source,v_dest,z_step = zip(*self.total_list) # outside the for... not inside....
+            for spines_created in range(len(self.total_list)):
+                if spines_created in spine_print_list:
+                    print('spines_placed', spines_created)
+                #AA
+                if self.dend_spine[v_dest[spines_created]].diam <= 0.3:
+                    self.spine_neck[c_source[spines_created]].connect(self.dend_spine[v_dest[spines_created]],z_step[spines_created],0)  
+                    spine_sec_aa.append(c_source[spines_created])                
+
+                #AA/SC
+                if self.dend_spine[v_dest[spines_created]].diam > 0.3 and self.dend_spine[v_dest[spines_created]].diam <= 0.75:
+                    self.spine_neck[c_source[spines_created]].connect(self.dend_spine[v_dest[spines_created]],z_step[spines_created],0)  
+                    spine_sec_aa_SC.append(c_source[spines_created])   
+                    
+                #PF/SC   
+                if self.dend_spine[v_dest[spines_created]].diam > 0.75 and self.dend_spine[v_dest[spines_created]].diam <= 1.5:
+                    self.spine_neck[c_source[spines_created]].connect(self.dend_spine[v_dest[spines_created]],z_step[spines_created],0)   
+                    spine_sec_pf.append(c_source[spines_created])      
+                    
+            #AA
+            self.spine_head_aa = []
+            #SC
+            self.spine_head_aa_SC = []               
+            #PF
+            self.spine_head_pf = []
+            
+            spine_print_list_syn = range(0, len(self.spine_head), 5000)
+        
+            for i_head, e_head in enumerate(self.spine_head):
+                if i_head in spine_print_list_syn:
+                    print('spines_syn: ', e_head)
+                elif i_head in spine_sec_aa:
+                    self.spine_head_aa.append(e_head)    
+                elif i_head in spine_sec_aa_SC:
+                    self.spine_head_aa_SC.append(e_head)
+                elif i_head in spine_sec_pf:
+                    self.spine_head_pf.append(e_head)
+                elif i_head in spine_sec_CF:
+                    self.spine_head_CF.append(e_head)  
+                    
+                    
+                    
+            print('spine_head_aa        between 0 - 0.3     ->', len(self.spine_head_aa)) 
+            print('spine_head_aa_SC     between 0.3 - 0.75  ->', len(self.spine_head_aa_SC)) 
+            print('spine_head_pf_SC     between 0.75 - 1.5  ->', len(self.spine_head_pf)) 
+            
+            print('!!!!!!!!!!!!!!!       spine_total', len(self.spine_head_aa_SC) + len(self.spine_head_aa) + len(self.spine_head_pf), '       !!!!!!!!!!!!!!!')
+
+
+            self.dendAA_SC = []
+            self.dendAA_SC_index = []
+            
+            self.dendPF_SC = []
+            self.dendPF_SC_index = []
+            
+            for i,e in enumerate(self.dend):
+                if e.diam > 0.3 and e.diam < 0.75:
+                    self.dendAA_SC.append(e)
+                    self.dendAA_SC_index.append(i)
+                
+                if e.diam > 0.75 and e.diam < 1.5:
+                    self.dendPF_SC.append(e)	
+                    self.dendPF_SC_index.append(i)
+            
+             		
+#Recorder section. 	    
+
+        
+        self.time_vector = h.Vector()
+        self.time_vector.record(h._ref_t)
+
+        self.vm_soma = h.Vector()
+        self.vm_soma.record(self.soma[0](0.5)._ref_v)
+	
+
+    def createsyn(self, npf, naa, numpfstl):
+       		
+             		
+
+        self.dendparallel = []
+        self.dendascending = []
+        
+        self.dendAAstl = []
+        self.dendPFstl = []
+                    
+    #new subdivision for the synapses		
+        for i in self.dend:
+            if i.diam > 0.75 and i.diam < 1.5:
+                self.dendparallel.append(i)
+                self.dendPFstl.append(i)
+            
+            if i.diam <= 0.75: 
+                self.dendascending.append(i)
+            
+
+        
+        print("PF")
+        print(len(self.dendparallel))	  
+        print("AA")
+        print(len(self.dendascending))
+
+        #Parallel fiber list
+        self.PF_L = []
+        
+        #Ascending axon list
+        self.AA_L = []
+
+        #Stellate list
+        self.SC_L = []
+
+        #Randomizer
+        self.pfrand = []
+        self.aarand = []
+        self.stlrand = []
+        self.bgrand = []
+    
+        
+        self.pfstlrand = []
+        self.aastlrand = []
+        
+        #New lists for the new stellate setup
+        
+        self.pfSC_L = []
+        self.aaSC_L = []
+        self.cfSC_L = []
+
+    
+	
+        n = len(self.dendparallel)
+        n2 = len(self.dendascending)
+        npfstl = len(self.dendPFstl)
+
+	  
+	
+#PF random
+        for j in range(npf):
+            n -= 1
+            i = random.randint(0, n)	    
+            self.dendparallel[i], self.dendparallel[n] = self.dendparallel[n], self.dendparallel[i]
+            self.pfrand.append(self.dendparallel[n])
+            self.PF_L.append(Synapse_py3('pf',self,self.pfrand[j]))
+	  
+	   	  
+#AA random
+        for j in range(naa):
+            n2 -= 1
+            i = random.randint(0, n2)
+            self.dendascending[i], self.dendascending[n2] = self.dendascending[n2], self.dendascending[i]
+            self.aarand.append(self.dendascending[n2])
+            self.AA_L.append(Synapse_py3('aa',self,self.aarand[j]))
+
+#STl_PF random
+        for j in range(numpfstl):
+            npfstl -= 1
+            i = random.randint(0, npfstl)
+            self.dendPFstl[i], self.dendPFstl[npfstl] = self.dendPFstl[npfstl], self.dendPFstl[i]
+            self.stlrand.append(self.dendPFstl[npfstl])
+            self.SC_L.append(Synapse_py3('stl',self,self.stlrand[j]))	    
+
+#revised code 2020 python3
+    def dendrites_xy_nospine(self,min_x, max_x, min_y,max_y,syntype):#,option_random,number_random_syn):
+      
+        self.dend_cood_x = {}
+        self.dend_cood_y = {}	    
+        for i, j in enumerate(self.dend):
+            j.push()
+            self.dend_cood_x["x0_"+str(i)] = h.x3d(0)
+            self.dend_cood_y["y0_"+str(i)] = h.y3d(0)  
+            h.pop_section()
+	    
+    #only of X    
+        dend_x_values = sorted(self.dend_cood_x.values()) #sorting of the values
+        dend_x_kyes = sorted(self.dend_cood_x, key=self.dend_cood_x.get) #sorting of the keys based on the values
+        dend_list_zip_x = zip(dend_x_kyes, dend_x_values)
+        
+        #print 'dimensions X'
+        #print min_x
+        #print max_x
+
+    #only of Y   
+        dend_y_values = sorted(self.dend_cood_y.values()) #sorting of the values
+        dend_y_kyes = sorted(self.dend_cood_y, key=self.dend_cood_y.get) #sorting of the keys based on the values
+        dend_list_zip_y = zip(dend_y_kyes, dend_y_values)
+        
+        #print 'dimensions Y'
+        #print min_y
+        #print max_y	
+        
+        self.x_coord_dend = []
+        xlist = []
+        for i in dend_list_zip_x:
+            if i[1] > min_x and i[1] < max_x:
+                xlist.append(i[1])
+                self.x_coord_dend.append(int(i[0][3:]))   
+        
+        
+        self.y_coord_dend = []
+        ylist = []
+        for i in dend_list_zip_y:
+            if i[1] > min_y and i[1] < max_y:
+                ylist.append(i[1])
+                self.y_coord_dend.append(int(i[0][3:]))   
+            
+        #print "dend number"	
+        #print len(self.x_coord_dend)   
+        #print len(self.y_coord_dend)  
+        
+        self.total_dend = []
+        self.total_dend = set(self.x_coord_dend).intersection(self.y_coord_dend)
+        
+        #print 'number syn'
+        #print self.total_dend
+        
+        print('dend set', self.total_dend)
+        print('Dend synapses ON.')
+        
+        self.diam = []
+        for x in self.total_dend:
+            self.diam.append(self.dend[x].diam)
+        
+        self.dend_diam = zip(self.total_dend, self.diam)
+
+    #new list of synapses	
+
+        self.AAtotal = []
+        self.PFtotal = []
+        self.SCtotal = []
+        
+        if syntype == 0:
+            self.AAdendminmax = []
+        if syntype == 1:        
+            self.PFdendminmax = []
+        if syntype == 2:    
+            self.SCdendminmax = []
+            
+        for x in self.dend_diam:
+            if syntype == 0:
+                if x[1] <= 0.75:
+                    #if option_random == 1:
+                        #self.AAtotal.append(self.dend[x[0]])
+                    #else:
+                        self.AAdendminmax.append(Synapse_py3('aa',self,self.dend[x[0]]))  
+                        #print('AA')
+                
+            if syntype == 1:    
+                if x[1] > 0.75 and x[1] < 1.6:
+                    #if option_random == 1:
+                        #self.PFtotal.append(self.dend[x[0]])
+                        ##print('x[0]', x[0])
+                    #else:
+                        self.PFdendminmax.append(Synapse_py3('pf',self,self.dend[x[0]]))  
+                        #print('x[0]', x[0])
+                        #print('nope')
+        
+            if syntype == 2:    
+                if x[1] >= 0.3 and x[1] < 1.6:
+                    #if option_random == 1:
+                        #self.SCtotal.append(self.dend[x[0]])
+                    #else:
+                        self.SCdendminmax.append(Synapse_py3('stl',self,self.dend[x[0]])) 
+
+        if syntype == 0:	          
+            print('AA syn number!!!!!!!!!!!!!!!!!!!!!!!!!!!', len(self.AAdendminmax))
+            
+            #self.AAdendminmax = self.AAdendminmax + self.AAdendminmax + self.AAdendminmax
+        elif syntype == 1:  
+            print('PF syn number!!!!!!!!!!!!!!!!!!!!!!!!!!!', len(self.PFdendminmax))
+            
+            #self.PFdendminmax = self.PFdendminmax + self.PFdendminmax + self.PFdendminmax
+            
+        elif syntype == 2:  
+            print('STL syn number!!!!!!!!!!!!!!!!!!!!!!!!!!', len(self.SCdendminmax))
+
+#new spine coordinator
+
+    def spine_space_limit(self):
+        h.define_shape() 
+        self.spinehead_coord_x = {}
+        self.spinehead_coord_y = {}	    
+        
+        print('checking the size of the morphology')
+        for i, j in enumerate(self.spine_head):
+            j.push()
+            self.spinehead_coord_x["x0_"+str(i)] = h.x3d(0)
+            self.spinehead_coord_y["y0_"+str(i)] = h.y3d(0)  
+            h.pop_section()
+            
+    ##only of X    
+        self.spine_space_x = sorted(self.spinehead_coord_x.values())
+
+    ##only of Y   
+        self.spine_space_y = sorted(self.spinehead_coord_y.values()) 
+
+    def dendrites_xy(self,min_x, max_x, min_y,max_y):
+        self.dend_cood_x = {}
+        self.dend_cood_y = {}	    
+        for i, j in enumerate(self.dend):
+            j.push()
+            self.dend_cood_x["x0_"+str(i)] = h.x3d(0)
+            self.dend_cood_y["y0_"+str(i)] = h.y3d(0)  
+            h.pop_section()
+	    
+    #only of X    
+        dend_x_values = sorted(self.dend_cood_x.values())
+        dend_x_kyes = sorted(self.dend_cood_x, key=self.dend_cood_x.get) 
+        dend_list_zip_x = zip(dend_x_kyes, dend_x_values)
+
+
+    #only of Y   
+        dend_y_values = sorted(self.dend_cood_y.values()) 
+        dend_y_kyes = sorted(self.dend_cood_y, key=self.dend_cood_y.get) 
+        dend_list_zip_y = zip(dend_y_kyes, dend_y_values)
+        
+        
+        self.x_coord_dend = []
+        xlist = []
+        for i in dend_list_zip_x:
+            if i[1] > min_x and i[1] < max_x:
+                xlist.append(i[1])
+                self.x_coord_dend.append(int(i[0][3:]))   
+        
+        
+        self.y_coord_dend = []
+        ylist = []
+        for i in dend_list_zip_y:
+            if i[1] > min_y and i[1] < max_y:
+                ylist.append(i[1])
+                self.y_coord_dend.append(int(i[0][3:]))   
+        
+        self.total_spines = []
+        self.total_spines = set(self.x_coord_dend).intersection(self.y_coord_dend)
+        
+        print('total_dend_SC', len(self.total_spines))
+        
+        
+    #New code dend only on X and Y at the same time to gnerate spots of activation	    	    
+    def spine_heads_x_y(self,min_x, max_x, min_y,max_y):
+        h.define_shape() #gives pt3d x,v,z to all the spines       
+        self.spinehead_coord_x = {}
+        self.spinehead_coord_y = {}	    
+        for i, j in enumerate(self.spine_head):
+            j.push()
+            self.spinehead_coord_x["x0_"+str(i)] = h.x3d(0)
+            self.spinehead_coord_y["y0_"+str(i)] = h.y3d(0)  
+            h.pop_section()
+            
+    #only of X    
+        spine_x_values = sorted(self.spinehead_coord_x.values()) #sorting of the values
+        spine_x_kyes = sorted(self.spinehead_coord_x, key=self.spinehead_coord_x.get) #sorting of the keys based on the values
+        spine_list_zip_x = zip(spine_x_kyes, spine_x_values)
+        
+
+    #only of Y   
+        spine_y_values = sorted(self.spinehead_coord_y.values()) #sorting of the values
+        spine_y_kyes = sorted(self.spinehead_coord_y, key=self.spinehead_coord_y.get) #sorting of the keys based on the values
+        spine_list_zip_y = zip(spine_y_kyes, spine_y_values)
+
+        
+        self.x_coord_spinehead = []
+        xlist = []
+        for i in spine_list_zip_x:
+            if i[1] > min_x and i[1] < max_x:
+                xlist.append(i[1])
+                self.x_coord_spinehead.append(int(i[0][3:]))   
+        
+        
+        self.y_coord_spinehead = []
+        ylist = []
+        for i in spine_list_zip_y:
+            if i[1] > min_y and i[1] < max_y:
+                ylist.append(i[1])
+                self.y_coord_spinehead.append(int(i[0][3:]))   
+        
+        self.total_spines = []
+        self.total_spines = set(self.x_coord_spinehead).intersection(self.y_coord_spinehead)
+
+        print('total_spines', len(self.total_spines))
+        
+
+
+
+    def activator(self, syntype, option_random, n_aa_set, n_pf_set, n_aa_sc_set, n_pf_sc_set, n_aa_aa_set):
+        print('spine synapses ON.')
+
+#AA only with random and fixed  
+        self.AAdendminmax = []
+        self.aarand = []
+        self.aarand_spine_num = []
+        self.AA_total = []
+        
+        if syntype == 0:
+            for sec_name_value_AA in self.spine_head_aa:
+                for y in self.total_spines: 
+                    if 'spine_head_' + str(y) == str(sec_name_value_AA):
+                        if option_random == 0:
+                            self.AAdendminmax.append(Synapse_py3('aa',self,sec_name_value_AA))  
+                            self.aarand_spine_num.append(self.sec_name_value_AA.name())
+                        else:    
+                            self.AA_total.append(self.sec_name_value_AA)
+        
+            if option_random == 1:
+                
+                naa = len(self.AA_total)
+                for z in range(int((naa/100)*n_aa_set)):
+                    naa -= 1
+                    i = random.randint(0, naa)
+                    self.AA_total[i], self.AA_total[naa] = self.AA_total[naa], self.AA_total[i]
+                    self.aarand.append(self.AA_total[naa])
+                    self.AAdendminmax.append(Synapse_py3('aa',self,self.self.aarand[z])) 
+                    self.aarand_spine_num.append(self.aarand[z].name())
+    
+            
+
+#PF only with random and fixed
+        self.PFdendminmax = []
+        self.pfrand = []
+        self.pfrand_spine_num = []
+        self.PF_total = []
+        
+        if syntype == 1:  
+            for sec_name_value_PF in self.spine_head_pf:
+                for y in self.total_spines: 
+                    if 'spine_head_' + str(y) == str(sec_name_value_PF):
+                        if option_random == 0:
+                            self.PFdendminmax.append(Synapse_py3('pf',self,sec_name_value_PF))
+                            self.pfrand_spine_num.append(sec_name_value_PF.name())
+                            
+                        else:    
+                            self.PF_total.append(sec_name_value_PF)
+
+            if option_random == 1:
+                npf = len(self.PF_total)
+                for z in range(int((npf/100)*n_pf_set)):
+                    npf -= 1
+                    i = random.randint(0, npf)
+                    self.PF_total[i], self.PF_total[npf] = self.PF_total[npf], self.PF_total[i]
+                    self.pfrand.append(self.PF_total[npf])
+                    self.PFdendminmax.append(Synapse_py3('pf',self,self.pfrand[z])) 
+                    self.pfrand_spine_num.append(self.pfrand[z].name())
+
+#SC on AA only with random and fixed
+        self.SC_AAdendminmax = []
+        self.SC_AA_rand = []
+        self.SC_AA_spine_num = []
+        self.SC_AA_total = []
+        if syntype == 2:   
+            for sec_name_value_SC_AA in self.dendAA_SC_index:
+                for y in self.total_spines:
+                    if str(y) == str(sec_name_value_SC_AA):
+                        if option_random == 0:
+                            self.SC_AAdendminmax.append(Synapse_py3('stl',self,self.dend[sec_name_value_SC_AA])) 
+                            self.SC_AA_spine_num.append(sec_name_value_SC_AA)
+                        else:
+                            self.SC_AA_total.append(self.dend[sec_name_value_SC_PF])
+                            
+            if option_random == 1:
+                naasc = len(self.SC_AA_total)
+                for z in range(int((naasc/100)*n_aa_sc_set)):
+                    naasc -= 1
+                    i = random.randint(0, naasc)
+                    self.SC_AA_total[i], self.SC_AA_total[naasc] = self.SC_AA_total[naasc], self.SC_AA_total[i]
+                    self.SC_AA_rand.append(self.SC_AA_total[naasc])
+                    self.SC_AAdendminmax.append(Synapse_py3('stl',self,self.SC_AA_rand[z])) 
+                    self.SC_AA_spine_num.append(self.SC_AA_rand[z].name())
+
+#SC on PF only with random and fixed
+        self.SC_PFdendminmax = [] 
+        self.SC_PF_rand = []
+        self.SC_PF_spine_num = []
+        self.SC_PF_total = []
+
+        if syntype == 3:
+            for sec_name_value_SC_PF in self.dendPF_SC_index:
+                for y in self.total_spines:
+                    if y == sec_name_value_SC_PF:
+                        if option_random == 0:
+                            #print('no random SC_PF')
+                            self.SC_PFdendminmax.append(Synapse_py3('stl',self,self.dend[sec_name_value_SC_PF]))
+                            self.SC_PF_spine_num.append(sec_name_value_SC_PF)
+                        else:
+                            self.SC_PF_total.append(self.dend[sec_name_value_SC_PF])
+                     
+            if option_random == 1:
+                naapf = len(self.SC_PF_total)
+                for z in range(int((naapf/100)*n_pf_sc_set)):
+                    naapf -= 1
+                    i = random.randint(0, naapf)
+                    self.SC_PF_total[i], self.SC_PF_total[naapf] = self.SC_PF_total[naapf], self.SC_PF_total[i]
+                    self.SC_PF_rand.append(self.SC_PF_total[naapf])
+                    self.SC_PFdendminmax.append(Synapse_py3('stl',self,self.SC_PF_rand[z])) 
+                    self.SC_PF_spine_num.append(self.SC_PF_rand[z].name())
+                    
+                          
+        
+#AA only in SC location        
+        self.AA_AAdendminmax = []
+        self.AA_AA_rand = []
+        self.AA_AA_spine_num = []
+        self.AA_AA_total = []
+        
+        if syntype == 4:  
+            for sec_name_value_AA_AA in self.spine_head_aa_SC:
+                for y in self.total_spines: 
+                    if 'spine_head_' + str(y) == str(sec_name_value_AA_AA):
+                        if option_random == 0:
+                            self.AA_AAdendminmax.append(Synapse_py3('aa',self,sec_name_value_AA_AA))
+                            self.AA_AA_spine_num.append(sec_name_value_AA_AA.name())
+                        else:    
+                            self.AA_AA_total.append(sec_name_value_AA_AA)
+
+            if option_random == 1:
+                naa_aasc = len(self.AA_AA_total)
+                for z in range(int((naa_aasc/100)*n_aa_aa_set)):
+                    naa_aasc -= 1
+                    i = random.randint(0, naa_aasc)
+                    self.AA_AA_total[i], self.AA_AA_total[naa_aasc] = self.AA_AA_total[naa_aasc], self.AA_AA_total[i]
+                    self.AA_AA_rand.append(self.AA_AA_total[naa_aasc])
+                    self.AA_AAdendminmax.append(Synapse_py3('aa',self,self.AA_AA_rand[z])) 
+                    self.AA_AA_spine_num.append(self.AA_AA_rand[z].name())
+          
diff --git a/docs/tutorial/01_opt_external_models/Purkinje_morpho_1_number.py b/docs/tutorial/01_opt_external_models/Purkinje_morpho_1_number.py
new file mode 100644
index 00000000..54d79c54
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/Purkinje_morpho_1_number.py
@@ -0,0 +1,6 @@
+number_ind_1 = dict()
+number_ind_1['indiv'] = 138
+number_ind_1['morfo_n'] = 1
+
+
+
diff --git a/docs/tutorial/01_opt_external_models/R_01_final_pop.txt b/docs/tutorial/01_opt_external_models/R_01_final_pop.txt
new file mode 100644
index 00000000..200a62fc
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/R_01_final_pop.txt
@@ -0,0 +1,576 @@
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diff --git a/docs/tutorial/01_opt_external_models/Synapses.py b/docs/tutorial/01_opt_external_models/Synapses.py
new file mode 100644
index 00000000..318dc968
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/Synapses.py
@@ -0,0 +1,63 @@
+from neuron import h
+
+class Synapse_py3:
+    def __init__(self,source,target,section,weight = 1):
+		
+        self.input = h.NetStim(0.5)
+        self.input.start = -10
+        self.input.number = 1
+        self.input.interval = 1e9
+        self.weight = weight
+
+
+        self.postsyns = {}
+
+        if (type(source) == type('s')):
+            sourcetype = source
+           
+                
+#Purkinje cell
+        if sourcetype == 'pf':
+            if target.whatami == 'prk':
+                # Make a PF synapse onto a purkinje cell
+                # Use deterministic synapses*
+                self.whatami = "syn_pf2prk_det"
+                self.postsyns['AMPA'] = [h.PF_syn(0.5, sec=section)]
+                self.postsyns['AMPA'][0].tau_facil=10.8*5#
+                self.postsyns['AMPA'][0].tau_rec=35.1 
+                self.postsyns['AMPA'][0].tau_1=3*2
+                self.postsyns['AMPA'][0].gmax = 2800
+                self.postsyns['AMPA'][0].U=0.13
+
+                self.nc_syn = [h.NetCon(self.input,receptor[0],0,0.1,1) for receptor in self.postsyns.values()]
+
+        elif sourcetype == 'aa':
+            if target.whatami == 'prk':
+                # Make a ascending axon synapse onto a purkinje cell
+                # Use deterministic synapses
+                self.whatami = "syn_aa2prk_det"
+                self.postsyns['AMPA'] = [h.PF_syn(0.5, sec=section)]
+                self.postsyns['AMPA'][0].tau_facil=10.8*5
+                self.postsyns['AMPA'][0].tau_rec=35.1*1
+                self.postsyns['AMPA'][0].tau_1=3*5
+                self.postsyns['AMPA'][0].gmax = 2800
+                self.postsyns['AMPA'][0].U=0.13
+
+                self.nc_syn = [h.NetCon(self.input,receptor[0],0,0.1,1) for receptor in self.postsyns.values()]
+            
+        elif sourcetype == 'stl':
+            if target.whatami == 'prk':
+                self.whatami = "syn_stl2prk_alpha1"
+                self.postsyns['GABA'] = [h.PC_gaba_alpha1(0.5, sec=section)] # self.postsyns
+                self.postsyns['GABA'][0].tau_facil=4
+                self.postsyns['GABA'][0].tau_rec=15
+                self.postsyns['GABA'][0].tau_1=1
+                self.postsyns['GABA'][0].Erev = -60
+                self.postsyns['GABA'][0].gmaxA1 = 2600
+                self.postsyns['GABA'][0].U=0.35
+                self.nc_syn = [h.NetCon(self.input,receptor[0],0,0.1,1) for receptor in self.postsyns.values()] 	
+                
+        else:
+            print('SOURCE TYPE DOES NOT EXIST SOMETHING WRONG!!!!!!!!!')
+            
+            
diff --git a/docs/tutorial/01_opt_external_models/_static/_tutorial_images/modeldb_hay_screen.png b/docs/tutorial/01_opt_external_models/_static/_tutorial_images/modeldb_hay_screen.png
new file mode 100755
index 00000000..3a10a762
Binary files /dev/null and b/docs/tutorial/01_opt_external_models/_static/_tutorial_images/modeldb_hay_screen.png differ
diff --git a/docs/tutorial/01_opt_external_models/build_network.L5_updated.py b/docs/tutorial/01_opt_external_models/build_network.L5_updated.py
new file mode 100644
index 00000000..e45ce0cb
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/build_network.L5_updated.py
@@ -0,0 +1,43 @@
+from bmtk.builder.networks import NetworkBuilder
+
+net = NetworkBuilder('L5')
+net.add_nodes(
+    N=5,
+    model_type='biophysical',
+    model_template='hoc:L5PCtemplate',
+    morphology='cell3.asc'
+)
+
+net.add_nodes(
+    N=5,
+    model_type='biophysical',
+    model_template='hoc:HNTemplate',
+    morphology='HL5PN1.swc'
+)
+
+
+net.build()
+net.save(output_dir='network_L5_updated')
+
+
+
+virt_exc = NetworkBuilder('virt_exc')
+virt_exc.add_nodes(
+    N=20,
+    model_type='virtual',
+    ei_type='exc'
+)
+conns = virt_exc.add_edges(
+    source=virt_exc.nodes(),
+    target=net.nodes(),
+    connection_rule=12,
+    model_template='Exp2Syn',
+    dynamics_params='AMPA_ExcToExc.json',
+    distance_range=[0.0, 1.0e20],
+    target_sections=['soma', 'basal', 'apical'],
+    delay=2.0,
+    syn_weight=0.01
+)
+
+virt_exc.build()
+virt_exc.save(output_dir='network_L5_updated')
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/build_network.added_channels.py b/docs/tutorial/01_opt_external_models/build_network.added_channels.py
new file mode 100644
index 00000000..6f8e7efb
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/build_network.added_channels.py
@@ -0,0 +1,36 @@
+from bmtk.builder.networks import NetworkBuilder
+
+net = NetworkBuilder('L5')
+net.add_nodes(
+    N=1,
+    model_type='biophysical',
+    model_template='hoc:L5PCtemplate',
+    morphology='cell3.asc',
+    model_processing='add_channels'
+)
+
+
+net.build()
+net.save(output_dir='network_added_channels')
+
+
+virt_exc = NetworkBuilder('virt_exc')
+virt_exc.add_nodes(
+    N=20,
+    model_type='virtual',
+    ei_type='exc'
+)
+conns = virt_exc.add_edges(
+    source=virt_exc.nodes(),
+    target=net.nodes(),
+    connection_rule=12,
+    model_template='Exp2Syn',
+    dynamics_params='AMPA_ExcToExc.json',
+    distance_range=[0.0, 1.0e20],
+    target_sections=['soma', 'basal', 'apical'],
+    delay=2.0,
+    syn_weight=0.01
+)
+
+virt_exc.build()
+virt_exc.save(output_dir='network_added_channels')
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/build_network.ball_and_stick.py b/docs/tutorial/01_opt_external_models/build_network.ball_and_stick.py
new file mode 100644
index 00000000..d2d11de5
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/build_network.ball_and_stick.py
@@ -0,0 +1,42 @@
+import numpy as np
+from bmtk.builder.networks import NetworkBuilder
+
+
+net = NetworkBuilder('BAS')
+net.add_nodes(
+    N=5,
+    model_type='biophysical',
+    model_template='python:loadBAS',
+    gnabar=np.random.uniform(0.10, 0.15, size=5),
+    gkbar=np.random.uniform(0.02, 0.04, size=5),
+    gl=np.random.uniform(0.0001, 0.0005, size=5),
+    el=np.random.uniform(-80.0, -50.0, size=5),
+    g_pas = 0.001,
+    e_pas = -65
+)
+
+
+net.build()
+net.save(output_dir='network_BAS')
+
+
+virt_exc = NetworkBuilder('virt_exc')
+virt_exc.add_nodes(
+    N=20,
+    model_type='virtual',
+    ei_type='exc'
+)
+conns = virt_exc.add_edges(
+    source=virt_exc.nodes(),
+    target=net.nodes(),
+    connection_rule=12,
+    model_template='Exp2Syn',
+    dynamics_params='AMPA_ExcToExc.json',
+    distance_range=[0.0, 1.0e20],
+    target_sections=['soma', 'dend'],
+    delay=1.0,
+    syn_weight=0.05
+)
+
+virt_exc.build()
+virt_exc.save(output_dir='network_BAS')
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/build_network.modified_densities.py b/docs/tutorial/01_opt_external_models/build_network.modified_densities.py
new file mode 100644
index 00000000..9585b3b5
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/build_network.modified_densities.py
@@ -0,0 +1,36 @@
+from bmtk.builder.networks import NetworkBuilder
+
+net = NetworkBuilder('L5')
+net.add_nodes(
+    N=1,
+    model_type='biophysical',
+    model_template='hoc:L5PCtemplate',
+    morphology='cell3.asc',
+    model_processing='adjust_densities'
+)
+
+
+net.build()
+net.save(output_dir='network_modified_densities')
+
+
+virt_exc = NetworkBuilder('virt_exc')
+virt_exc.add_nodes(
+    N=20,
+    model_type='virtual',
+    ei_type='exc'
+)
+conns = virt_exc.add_edges(
+    source=virt_exc.nodes(),
+    target=net.nodes(),
+    connection_rule=12,
+    model_template='Exp2Syn',
+    dynamics_params='AMPA_ExcToExc.json',
+    distance_range=[0.0, 1.0e20],
+    target_sections=['soma', 'basal', 'apical'],
+    delay=2.0,
+    syn_weight=0.01
+)
+
+virt_exc.build()
+virt_exc.save(output_dir='network_modified_densities')
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/build_network.purkinje.py b/docs/tutorial/01_opt_external_models/build_network.purkinje.py
new file mode 100644
index 00000000..6887be23
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/build_network.purkinje.py
@@ -0,0 +1,45 @@
+import os
+import numpy as np
+
+from bmtk.builder.networks import NetworkBuilder
+
+
+np.random.seed(100)
+
+net = NetworkBuilder('purkinje')
+net.add_nodes( 
+    pop_name='Scnn1a',
+    model_type='biophysical',
+    model_template='python:Purkinje_morph_1',
+    spines_on=0
+)
+net.add_nodes( 
+    pop_name='Scnn1a',
+    model_type='biophysical',
+    model_template='python:Purkinje_morph_1',
+    spines_on=1
+)
+
+
+net.build()
+net.save(output_dir='network_Purkinje')
+
+
+virt = NetworkBuilder('virt_exc')
+virt.add_nodes(
+    N=5,
+    model_type='virtual'
+)
+virt.add_edges(
+    source=virt.nodes(), target=net.nodes(),
+    connection_rule=12,
+    syn_weight=6.4e-05,
+    distance_range=[50.0, 10.0e20],
+    target_sections=['dend'],
+    delay=1.0,
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='exp2syn'
+)
+
+virt.build()
+virt.save(output_dir='network_Purkinje')
diff --git a/docs/tutorial/01_opt_external_models/components/dLGN_mechanisms/modfiles/iahp.mod b/docs/tutorial/01_opt_external_models/components/dLGN_mechanisms/modfiles/iahp.mod
new file mode 100755
index 00000000..1c6d487b
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/dLGN_mechanisms/modfiles/iahp.mod
@@ -0,0 +1,96 @@
+TITLE Medium duration Ca-dependent potassium current
+:
+:   Ca++ dependent K+ current IC responsible for medium duration AHP
+:
+:   Original file written by Alain Destexhe, Salk Institute, Nov 3, 1992
+:   Modified by Geir Halnes, Norwegian University of Life Sciences, Mar 13, 2011
+
+
+INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
+
+NEURON {
+	SUFFIX iahp
+	USEION k READ ek WRITE ik VALENCE 1
+	USEION Ca READ Cai VALENCE 2
+      RANGE gkbar, g, minf, taum
+	GLOBAL beta, cac, m_inf, tau_m, x
+}
+
+
+UNITS {
+	(mA) = (milliamp)
+	(mV) = (millivolt)
+	(molar) = (1/liter)
+	(mM) = (millimolar)
+}
+
+
+PARAMETER {
+	v (mV)
+	ek = -90 (mV)
+	celsius = 36 (degC)
+	Cai 	= 5e-5 (mM)			: Initial [Ca]i = 50 nM (Cai is simulated by separate mod-file)
+	gkbar	= 1.3e-4	(mho/cm2)	: Conductance (modified from hoc-file)
+	beta	= 0.02	(1/ms)	: Backward rate constant
+	cac	= 4.3478e-4(mM)		: Middle point of m_inf fcn
+	taumin	= 1	(ms)		: Minimal value of the time cst
+      x       = 2				: Binding cites
+}
+
+
+
+
+STATE {
+	m
+}
+
+
+ASSIGNED {
+	ik 	(mA/cm2)
+	g       (mho/cm2)
+	m_inf
+	tau_m	(ms)
+	minf
+      taum
+	tadj
+}
+
+
+BREAKPOINT { 
+	SOLVE states METHOD cnexp
+        minf = m_inf
+        taum = tau_m
+	  g = gkbar*m*m
+	  ik = g * (v - ek)
+}
+
+DERIVATIVE states { 
+	evaluate_fct(v,Cai)
+	m' = (m_inf - m) / tau_m
+}
+
+
+UNITSOFF
+INITIAL {
+:  activation kinetics are assumed to be at 22 deg. C
+:  Q10 is assumed to be 3
+
+	VERBATIM
+	Cai = _ion_Cai;
+	ENDVERBATIM
+
+	tadj = 3 ^ ((celsius-22.0)/10)
+	evaluate_fct(v,Cai)
+	m = m_inf
+      minf = m_inf
+      taum = tau_m
+}
+
+PROCEDURE evaluate_fct(v(mV),Cai(mM)) {  LOCAL car, tcar
+	car = (Cai/cac)^x
+	m_inf = car / ( 1 + car )
+	tau_m = 1 / beta / (1 + car) / tadj
+      if(tau_m < taumin) { tau_m = taumin } 	: min value of time cst
+}
+
+UNITSON
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/CaDynamics.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/CaDynamics.mod
new file mode 100644
index 00000000..d66cdb6c
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/CaDynamics.mod
@@ -0,0 +1,40 @@
+: Dynamics that track inside calcium concentration
+: modified from Destexhe et al. 1994
+
+NEURON	{
+	SUFFIX CaDynamics
+	USEION ca READ ica WRITE cai
+	RANGE decay, gamma, minCai, depth
+}
+
+UNITS	{
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+	FARADAY = (faraday) (coulombs)
+	(molar) = (1/liter)
+	(mM) = (millimolar)
+	(um)	= (micron)
+}
+
+PARAMETER	{
+	gamma = 0.05 : percent of free calcium (not buffered)
+	decay = 80 (ms) : rate of removal of calcium
+	depth = 0.1 (um) : depth of shell
+	minCai = 1e-4 (mM)
+}
+
+ASSIGNED	{ica (mA/cm2)}
+
+INITIAL {
+	cai = minCai
+}
+
+STATE	{
+	cai (mM)
+	}
+
+BREAKPOINT	{ SOLVE states METHOD cnexp }
+
+DERIVATIVE states	{
+	cai' = -(10000)*(ica*gamma/(2*FARADAY*depth)) - (cai - minCai)/decay
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/CaDynamics_E2.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/CaDynamics_E2.mod
new file mode 100755
index 00000000..dd4337ff
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/CaDynamics_E2.mod
@@ -0,0 +1,36 @@
+: Dynamics that track inside calcium concentration
+: modified from Destexhe et al. 1994
+
+NEURON	{
+	SUFFIX CaDynamics_E2
+	USEION ca READ ica WRITE cai
+	RANGE decay, gamma, minCai, depth
+}
+
+UNITS	{
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+	FARADAY = (faraday) (coulombs)
+	(molar) = (1/liter)
+	(mM) = (millimolar)
+	(um)	= (micron)
+}
+
+PARAMETER	{
+	gamma = 0.05 : percent of free calcium (not buffered)
+	decay = 80 (ms) : rate of removal of calcium
+	depth = 0.1 (um) : depth of shell
+	minCai = 1e-4 (mM)
+}
+
+ASSIGNED	{ica (mA/cm2)}
+
+STATE	{
+	cai (mM)
+	}
+
+BREAKPOINT	{ SOLVE states METHOD cnexp }
+
+DERIVATIVE states	{
+	cai' = -(10000)*(ica*gamma/(2*FARADAY*depth)) - (cai - minCai)/decay
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ca_HVA.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ca_HVA.mod
new file mode 100644
index 00000000..fbf55470
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ca_HVA.mod
@@ -0,0 +1,72 @@
+:Comment :
+:Reference : :		Reuveni, Friedman, Amitai, and Gutnick, J.Neurosci. 1993
+
+NEURON	{
+	SUFFIX Ca_HVA
+	USEION ca READ eca WRITE ica
+	RANGE gbar, g, ica 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+}
+
+ASSIGNED	{
+	v	(mV)
+	eca	(mV)
+	ica	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{ 
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ica = g*(v-eca)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+        if((v == -27) ){        
+            v = v+0.0001
+        }
+		mAlpha =  (0.055*(-27-v))/(exp((-27-v)/3.8) - 1)        
+		mBeta  =  (0.94*exp((-75-v)/17))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = 1/(mAlpha + mBeta)
+		hAlpha =  (0.000457*exp((-13-v)/50))
+		hBeta  =  (0.0065/(exp((-v-15)/28)+1))
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = 1/(hAlpha + hBeta)
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ca_LVA.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ca_LVA.mod
new file mode 100644
index 00000000..11d0b3f4
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ca_LVA.mod
@@ -0,0 +1,68 @@
+:Comment : LVA ca channel. Note: mtau is an approximation from the plots
+:Reference : :		Avery and Johnston 1996, tau from Randall 1997
+:Comment: shifted by -10 mv to correct for junction potential
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Ca_LVA
+	USEION ca READ eca WRITE ica
+	RANGE gbar, g, ica
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	eca	(mV)
+	ica	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ica = g*(v-eca)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+
+	UNITSOFF
+		v = v + 10
+		mInf = 1.0000/(1+ exp((v - -30.000)/-6))
+		mTau = (5.0000 + 20.0000/(1+exp((v - -25.000)/5)))/qt
+		hInf = 1.0000/(1+ exp((v - -80.000)/6.4))
+		hTau = (20.0000 + 50.0000/(1+exp((v - -40.000)/7)))/qt
+		v = v - 10
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ca_LVAst.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ca_LVAst.mod
new file mode 100755
index 00000000..9226d15c
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ca_LVAst.mod
@@ -0,0 +1,68 @@
+:Comment : LVA ca channel. Note: mtau is an approximation from the plots
+:Reference : :		Avery and Johnston 1996, tau from Randall 1997
+:Comment: shifted by -10 mv to correct for junction potential
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Ca_LVAst
+	USEION ca READ eca WRITE ica
+	RANGE gCa_LVAstbar, gCa_LVAst, ica
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gCa_LVAstbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	eca	(mV)
+	ica	(mA/cm2)
+	gCa_LVAst	(S/cm2)
+	mInf
+	mTau    (ms)
+	hInf
+	hTau    (ms)
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	gCa_LVAst = gCa_LVAstbar*m*m*h
+	ica = gCa_LVAst*(v-eca)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+
+	UNITSOFF
+		v = v + 10
+		mInf = 1.0000/(1+ exp((v - -30.000)/-6))
+		mTau = (5.0000 + 20.0000/(1+exp((v - -25.000)/5)))/qt
+		hInf = 1.0000/(1+ exp((v - -80.000)/6.4))
+		hTau = (20.0000 + 50.0000/(1+exp((v - -40.000)/7)))/qt
+		v = v - 10
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav2_1.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav2_1.mod
new file mode 100644
index 00000000..65aacf8d
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav2_1.mod
@@ -0,0 +1,133 @@
+TITLE P-type calcium channel
+
+COMMENT
+
+Constructed from the recording data provided by Bruce Bean.
+Reference: Swensen AM and Bean BP (2005) Robustness of burst firing in dissociated purkinje neurons with acute or long-term reductions in sodium conductance. J Neurosci 25:3509-20
+
+Current Model Reference: Anwar H, Hong S, De Schutter E (2010) Controlling Ca2+-activated K+ channels with models of Ca2+ buffering in Purkinje cell. Cerebellum*
+
+*Article available as Open Access
+
+PubMed link: http://www.ncbi.nlm.nih.gov/pubmed/20981513
+
+
+Written by Sungho Hong, Computational Neuroscience Unit, Okinawa Institute of Science and Technology, 2009.
+Contact: Sungho Hong (shhong@oist.jp)
+
+Suffix from newCaP to Cav2_1
+
+
+ENDCOMMENT
+
+INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
+
+NEURON {
+    SUFFIX Cav2_1
+    USEION ca READ cai, cao WRITE ica
+    RANGE pcabar, ica, gk, vhalfm, cvm, vshift, taum, minf
+}
+
+UNITS {
+    (mV) = (millivolt)
+    (mA) = (milliamp)
+    (nA) = (nanoamp)
+    (pA) = (picoamp)
+    (S)  = (siemens)
+    (nS) = (nanosiemens)
+    (pS) = (picosiemens)
+    (um) = (micron)
+    (molar) = (1/liter)
+    (mM) = (millimolar)     
+}
+
+CONSTANT {
+    q10 = 3
+    F = 9.6485e4 (coulombs)
+    R = 8.3145 (joule/kelvin)
+}
+
+PARAMETER {
+    v (mV)
+    celsius (degC)
+
+    cai (mM)
+    cao (mM)
+
+    vhalfm = -29.458 (mV)
+    cvm = 8.429(mV)
+    vhalfh = -11.039 (mV)
+    cvh = 16.098 (mV)
+    vshift = 0 (mV)
+
+    pcabar = 2.2e-4 (cm/s)
+}
+
+ASSIGNED {
+    qt
+    ica (mA/cm2)
+    minf
+    taum (ms)
+    gk (coulombs/cm3)
+    T (kelvin)
+    E (volt)
+    zeta
+}
+
+STATE { m }
+
+INITIAL {
+    qt = q10^((celsius-23 (degC))/10 (degC))
+    T = kelvinfkt( celsius )
+    rates(v)
+    m = minf
+}
+
+BREAKPOINT {
+    SOLVE states METHOD cnexp
+    
+    ica = (1e3) * pcabar * m * m * m * gk
+}
+
+DERIVATIVE states {
+    rates(v)
+    m' = (minf-m)/taum
+}
+
+FUNCTION ghk( v (mV), ci (mM), co (mM), z )  (coulombs/cm3) { 
+    E = (1e-3) * v
+      zeta = (z*F*E)/(R*T)  
+    
+    if ( fabs(1-exp(-zeta)) < 1e-6 ) {
+        ghk = (1e-6) * (z*F) * (ci - co*exp(-zeta)) * (1 + zeta/2)
+    } else {
+        ghk = (1e-6) * (z*zeta*F) * (ci - co*exp(-zeta)) / (1-exp(-zeta))
+    }
+}
+
+PROCEDURE rates( v (mV) ) {
+
+    minf = 1 / ( 1 + exp(-(v-vhalfm-vshift)/cvm) )
+
+    taum = taumfkt(v-vshift)/qt
+    
+    gk = ghk(v-vshift, cai, cao, 2)
+}
+
+
+FUNCTION kelvinfkt( t (degC) )  (kelvin) {
+    UNITSOFF
+    kelvinfkt = 273.19 + t
+    UNITSON
+}
+
+FUNCTION taumfkt( v (mV) ) (ms) {
+    UNITSOFF
+    if (v>=-40) {
+        taumfkt = 0.2702 + 1.1622 * exp(-(v+26.798)*(v+26.798)/164.19)
+    } else {
+        taumfkt = 0.6923 * exp(v/1089.372)
+    }
+    UNITSON
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav3_1.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav3_1.mod
new file mode 100644
index 00000000..5231a538
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav3_1.mod
@@ -0,0 +1,144 @@
+TITLE Low threshold calcium current Cerebellum Purkinje Cell Model
+
+COMMENT
+
+Kinetics adapted to fit the Cav3.1 Iftinca et al 2006, Temperature dependence of T-type Calcium channel gating, NEUROSCIENCE
+
+Reference: Anwar H, Hong S, De Schutter E (2010) Controlling Ca2+-activated K+ channels with models of Ca2+ buffering in Purkinje cell. Cerebellum*
+
+*Article available as Open Access
+
+PubMed link: http://www.ncbi.nlm.nih.gov/pubmed/20981513
+
+Written by Haroon Anwar, Computational Neuroscience Unit, Okinawa Institute of Science and Technology, 2010.
+Contact: Haroon Anwar (anwar@oist.jp)
+
+Suffix from CaT3_1 to CaV3_1
+
+ENDCOMMENT
+
+
+INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
+
+NEURON {
+        SUFFIX Cav3_1
+        USEION ca READ cai, cao WRITE ica VALENCE 2
+        RANGE g, pcabar, minf, taum, hinf, tauh
+	RANGE ica, m ,h
+
+    }
+
+UNITS {
+        (molar) = (1/liter)
+        (mV) =  (millivolt)
+        (mA) =  (milliamp)
+        (mM) =  (millimolar)
+
+}
+
+CONSTANT {
+	F = 9.6485e4 (coulombs)
+	R = 8.3145 (joule/kelvin)
+	q10 = 3
+}
+
+PARAMETER {
+        v               (mV)
+        celsius (degC)
+        eca (mV)
+	pcabar  = 2.5e-4 (cm/s)
+        cai  (mM)           : adjusted for eca=120 mV
+	cao  (mM)
+	
+	v0_m_inf = -52 (mV)
+	v0_h_inf = -72 (mV)
+	k_m_inf = -5 (mV)
+	k_h_inf = 7  (mV)
+	
+	C_tau_m = 1
+	A_tau_m = 1.0
+	v0_tau_m1 = -40 (mV)
+	v0_tau_m2 = -102 (mV)
+	k_tau_m1 = 9 (mV)
+	k_tau_m2 = -18 (mV)
+	
+	C_tau_h = 15
+	A_tau_h = 1.0
+	v0_tau_h1 = -32 (mV)
+	k_tau_h1 = 7 (mV)
+	
+    }
+    
+
+STATE {
+        m h
+}
+
+ASSIGNED {
+        ica     (mA/cm2)
+	g        (coulombs/cm3) 
+        minf
+        taum   (ms)
+        hinf
+        tauh   (ms)
+	T (kelvin)
+	E (volt)
+	zeta
+	qt
+}
+
+BREAKPOINT {
+	SOLVE castate METHOD cnexp 
+
+        ica = (1e3) *pcabar*m*m *h * g
+}
+
+DERIVATIVE castate {
+        evaluate_fct(v)
+
+        m' = (minf - m) / taum
+        h' = (hinf - h) / tauh
+}
+
+FUNCTION ghk( v (mV), ci (mM), co (mM), z )  (coulombs/cm3) {
+    E = (1e-3) * v
+      zeta = (z*F*E)/(R*T)
+
+
+    if ( fabs(1-exp(-zeta)) < 1e-6 ) {
+        ghk = (1e-6) * (z*F) * (ci - co*exp(-zeta)) * (1 + zeta/2)
+    } else {
+        ghk = (1e-6) * (z*zeta*F) * (ci - co*exp(-zeta)) / (1-exp(-zeta))
+    }
+}
+
+
+UNITSOFF
+INITIAL {
+	
+	T = kelvinfkt (celsius)
+
+        evaluate_fct(v)
+        m = minf
+        h = hinf
+	qt = q10^((celsius-37 (degC))/10 (degC))
+}
+
+PROCEDURE evaluate_fct(v(mV)) { 
+
+        minf = 1.0 / ( 1 + exp((v  - v0_m_inf)/k_m_inf) )
+        hinf = 1.0 / ( 1 + exp((v - v0_h_inf)/k_h_inf) )
+        if (v<=-90) {
+	taum = 1
+	} else {
+	taum = ( C_tau_m + A_tau_m / (exp((v - v0_tau_m1)/ k_tau_m1) + exp((v - v0_tau_m2)/k_tau_m2))) / qt
+	}
+	tauh = ( C_tau_h + A_tau_h / exp((v - v0_tau_h1)/k_tau_h1) ) / qt
+	g = ghk(v, cai, cao, 2)
+}
+
+FUNCTION kelvinfkt( t (degC) )  (kelvin) {
+    kelvinfkt = 273.19 + t
+}
+
+UNITSON
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav3_2.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav3_2.mod
new file mode 100644
index 00000000..bf7754f8
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav3_2.mod
@@ -0,0 +1,103 @@
+TITLE Low threshold calcium current
+:
+:   Ca++ current responsible for low threshold spikes (LTS)
+:   RETICULAR THALAMUS
+:   Differential equations
+:
+:   Model of Huguenard & McCormick, J Neurophysiol 68: 1373-1383, 1992.
+:   
+:   Written by Alain Destexhe, Salk Institute, Sept 18, 1992
+:   
+:    - Biophysical properties of the T current were from recordings of
+:    - human recombinant Cav3.2 T-channel in HEK-293 cells
+:    - see Vitko et al., J. Neurosci 25(19) :4844-4855, 2005
+:    - Q10 and shift parameters are fixed 
+:   
+:
+:   Suffix from CaT3_2 to Cav3_2
+
+INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
+
+NEURON {
+	SUFFIX Cav3_2
+	USEION ca READ cai, cao WRITE ica
+	RANGE gcabar, m_inf, tau_m, h_inf, tau_h, shift, i,ica
+}
+
+UNITS {
+	(molar) = (1/liter)
+	(mV) =	(millivolt)
+	(mA) =	(milliamp)
+	(mM) =	(millimolar)
+
+	FARADAY = (faraday) (coulomb)
+	R = (k-mole) (joule/degC)
+}
+
+PARAMETER {
+	v		(mV)
+	celsius	= 36	(degC)
+:	eca	= 120	(mV)
+	gcabar	= .0008	(mho/cm2)
+	shift	= 0 	(mV)
+	cai	= 2.4e-4 (mM)		: adjusted for eca=120 mV
+	cao	= 2	(mM)
+}
+
+STATE {
+	m h
+}
+
+ASSIGNED {
+	ica	(mA/cm2)
+	carev	(mV)
+	m_inf
+	tau_m	(ms)
+	h_inf
+	tau_h	(ms)
+	phi_m
+	phi_h
+	i	(mA/cm2)
+}
+
+BREAKPOINT {
+	SOLVE castate METHOD cnexp
+	carev = (1e3) * (R*(celsius+273.15))/(2*FARADAY) * log (cao/cai)
+	ica = gcabar * m*m*h * (v-carev)
+	i = ica		: diagnostic i added to display the current
+}
+
+DERIVATIVE castate {
+	evaluate_fct(v)
+
+	m' = (m_inf - m) / tau_m
+	h' = (h_inf - h) / tau_h
+}
+
+UNITSOFF
+INITIAL {
+:
+:   Activation functions and kinetics were obtained from
+:   Vitko et al., 2005 at 23-25 deg.
+:   Transformation to 36 deg assuming Q10 of 5 and 3 for m and h
+:   (as in Coulter et al., J Physiol 414: 587, 1989)
+:
+	phi_m = 5 ^ (12/10)
+	phi_h = 3 ^ (12/10)
+
+	evaluate_fct(v)
+
+	m = m_inf
+	h = h_inf
+}
+
+PROCEDURE evaluate_fct(v(mV)) { 
+:
+
+	m_inf = 1.0 / ( 1 + exp(-(v+shift+54.8)/7.4) )
+	h_inf = 1.0 / ( 1 + exp((v+shift+85.5)/7.18) )
+
+	tau_m = ( 1.9 + 1.0 / ( exp((v+shift+37.0)/11.9) + exp(-(v+shift+131.6)/21) ) ) / phi_m
+	tau_h = 13.7 + (1942 + exp((v+shift+164)/9.2)) / (1 + exp((v+shift+89.3)/3.7) ) / phi_h
+}
+UNITSON
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav3_3.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav3_3.mod
new file mode 100644
index 00000000..bf8f2833
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Cav3_3.mod
@@ -0,0 +1,96 @@
+TITLE CaV 3.3 CA3 hippocampal neuron
+
+COMMENT
+    Cell model: CA3 hippocampal neuron
+    
+    Created by jun xu @ Clancy Lab of Cornell University Medical College on 3/27/05
+    
+    Geometry: single-compartment model modified on 04/19/07 
+    Xu J, Clancy CE (2008) Ionic mechanisms of endogenous bursting in CA3 hippocampal pyramidal neurons: 
+        a model study. PLoS ONE 3:e2056- [PubMed]
+
+ENDCOMMENT 
+ 
+ 
+ NEURON	{
+        : CaT--alpha 1I CaV3.3
+	SUFFIX Cav3_3
+	USEION ca READ cai, cao WRITE ica
+	RANGE gCav3_3bar, pcabar, ica, tau_l, tau_n, n_inf, l_inf
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+    gCav3_3bar = 0.00001 (S/cm2)
+    vhalfn = -41.5  :mv
+    vhalfl = -69.8
+    kn = 6.2
+    kl = -6.1
+    q10 = 2.3
+    pcabar = 0.0001 : cm/s to check!!!
+    z= 2
+    F = 96520 : Farady constant (coulomb/mol)
+    R = 8.3134 : gas constant (J/K.mol)
+    PI = 3.14    
+}
+
+ASSIGNED	{
+	v	(mV)
+	ica	(mA/cm2)
+	gCav3_3	(S/cm2)
+	n_inf
+	tau_n
+	l_inf
+	tau_l
+	cai     (mM)
+	cao     (mM)
+	qt 
+	T  : absolute temperature (K)
+	ghk
+	w
+}
+
+STATE	{ 
+	n
+	l
+}
+
+BREAKPOINT	{
+    SOLVE states METHOD cnexp
+    ica = gCav3_3bar*pcabar*n*n*l*ghk
+}
+
+DERIVATIVE states	{
+	rates()
+	n' = (n_inf-n)/tau_n
+	l' = (l_inf-l)/tau_l
+    }
+    
+INITIAL{
+	T = celsius+273.14
+	qt = pow(q10,(celsius-28)/10)
+	rates()
+	n = n_inf
+	l = l_inf
+}
+
+PROCEDURE rates(){
+	n_inf = 1/(1+exp(-(v-vhalfn)/kn))
+	l_inf = 1/(1+exp(-(v-vhalfl)/kl))
+	
+        if (v > -60) {
+            tau_n = (7.2+0.02*exp(-v/14.7))/qt
+	    tau_l = (79.5+2.0*exp(-v/9.3))/qt
+        }else{
+            tau_n = (0.875*exp((v+120)/41))/qt
+	    tau_l = 260/qt
+        }
+	
+      w = v*0.001*z*F/(R*T)
+      ghk = -0.001*z*F*(cao-cai*exp(w))*w/(exp(w)-1)	
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Gfluct.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Gfluct.mod
new file mode 100644
index 00000000..2d87676a
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Gfluct.mod
@@ -0,0 +1,229 @@
+TITLE Fluctuating conductances
+
+COMMENT
+-----------------------------------------------------------------------------
+
+	Fluctuating conductance model for synaptic bombardment
+	======================================================
+
+THEORY
+
+  Synaptic bombardment is represented by a stochastic model containing
+  two fluctuating conductances g_e(t) and g_i(t) descibed by:
+
+     Isyn = g_e(t) * [V - E_e] + g_i(t) * [V - E_i]
+     d g_e / dt = -(g_e - g_e0) / tau_e + sqrt(D_e) * Ft
+     d g_i / dt = -(g_i - g_i0) / tau_i + sqrt(D_i) * Ft
+
+  where E_e, E_i are the reversal potentials, g_e0, g_i0 are the average
+  conductances, tau_e, tau_i are time constants, D_e, D_i are noise diffusion
+  coefficients and Ft is a gaussian white noise of unit standard deviation.
+
+  g_e and g_i are described by an Ornstein-Uhlenbeck (OU) stochastic process
+  where tau_e and tau_i represent the "correlation" (if tau_e and tau_i are 
+  zero, g_e and g_i are white noise).  The estimation of OU parameters can
+  be made from the power spectrum:
+
+     S(w) =  2 * D * tau^2 / (1 + w^2 * tau^2)
+
+  and the diffusion coeffient D is estimated from the variance:
+
+     D = 2 * sigma^2 / tau
+
+
+NUMERICAL RESOLUTION
+
+  The numerical scheme for integration of OU processes takes advantage 
+  of the fact that these processes are gaussian, which led to an exact
+  update rule independent of the time step dt (see Gillespie DT, Am J Phys 
+  64: 225, 1996):
+
+     x(t+dt) = x(t) * exp(-dt/tau) + A * N(0,1)
+
+  where A = sqrt( D*tau/2 * (1-exp(-2*dt/tau)) ) and N(0,1) is a normal
+  random number (avg=0, sigma=1)
+
+
+IMPLEMENTATION
+
+  This mechanism is implemented as a nonspecific current defined as a
+  point process.
+
+
+PARAMETERS
+
+  The mechanism takes the following parameters:
+
+     E_e = 0  (mV)		: reversal potential of excitatory conductance
+     E_i = -75 (mV)		: reversal potential of inhibitory conductance
+
+     g_e0 = 0.0121 (umho)	: average excitatory conductance
+     g_i0 = 0.0573 (umho)	: average inhibitory conductance
+
+     std_e = 0.0030 (umho)	: standard dev of excitatory conductance
+     std_i = 0.0066 (umho)	: standard dev of inhibitory conductance
+
+     tau_e = 2.728 (ms)		: time constant of excitatory conductance
+     tau_i = 10.49 (ms)		: time constant of inhibitory conductance
+
+
+Gfluct2: conductance cannot be negative
+
+
+REFERENCE
+
+  Destexhe, A., Rudolph, M., Fellous, J-M. and Sejnowski, T.J.  
+  Fluctuating synaptic conductances recreate in-vivo--like activity in
+  neocortical neurons. Neuroscience 107: 13-24 (2001).
+
+  (electronic copy available at http://cns.iaf.cnrs-gif.fr)
+
+
+  A. Destexhe, 1999
+
+-----------------------------------------------------------------------------
+ENDCOMMENT
+
+
+
+INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
+
+NEURON {
+	POINT_PROCESS Gfluct2
+	RANGE g_e, g_i, E_e, E_i, g_e0, g_i0, g_e1, g_i1
+	RANGE std_e, std_i, tau_e, tau_i, D_e, D_i
+	RANGE new_seed
+	NONSPECIFIC_CURRENT i
+	THREADSAFE
+    POINTER donotuse
+}
+
+UNITS {
+	(nA) = (nanoamp) 
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	dt		(ms)
+
+	E_e	= 0 	(mV)	: reversal potential of excitatory conductance
+	E_i	= -75 	(mV)	: reversal potential of inhibitory conductance
+
+	g_e0	= 0.0121 (umho)	: average excitatory conductance
+	g_i0	= 0.0573 (umho)	: average inhibitory conductance
+
+	std_e	= 0.0030 (umho)	: standard dev of excitatory conductance
+	std_i	= 0.0066 (umho)	: standard dev of inhibitory conductance
+
+	tau_e	= 2.728	(ms)	: time constant of excitatory conductance
+	tau_i	= 10.49	(ms)	: time constant of inhibitory conductance
+}
+
+ASSIGNED {
+	v	(mV)		: membrane voltage
+	i 	(nA)		: fluctuating current
+	g_e	(umho)		: total excitatory conductance
+	g_i	(umho)		: total inhibitory conductance
+	g_e1	(umho)		: fluctuating excitatory conductance
+	g_i1	(umho)		: fluctuating inhibitory conductance
+	D_e	(umho umho /ms) : excitatory diffusion coefficient
+	D_i	(umho umho /ms) : inhibitory diffusion coefficient
+	exp_e
+	exp_i
+	amp_e	(umho)
+	amp_i	(umho)
+    donotuse
+}
+
+INITIAL {
+	g_e1 = 0
+	g_i1 = 0
+	if(tau_e != 0) {
+		D_e = 2 * std_e * std_e / tau_e
+		exp_e = exp(-dt/tau_e)
+		amp_e = std_e * sqrt( (1-exp(-2*dt/tau_e)) )
+	}
+	if(tau_i != 0) {
+		D_i = 2 * std_i * std_i / tau_i
+		exp_i = exp(-dt/tau_i)
+		amp_i = std_i * sqrt( (1-exp(-2*dt/tau_i)) )
+	}
+}
+
+BREAKPOINT {
+	SOLVE oup
+	if(tau_e==0) {
+	   g_e = std_e * grand()
+	}
+	if(tau_i==0) {
+	   g_i = std_i * grand()
+	}
+	g_e = g_e0 + g_e1
+	if(g_e < 0) { g_e = 0 }
+	g_i = g_i0 + g_i1
+	if(g_i < 0) { g_i = 0 }
+	i = g_e * (v - E_e) + g_i * (v - E_i)
+}
+
+
+PROCEDURE oup() {		: use grand()
+   if(tau_e!=0) {
+	g_e1 =  exp_e * g_e1 + amp_e * grand()
+   }
+   if(tau_i!=0) {
+	g_i1 =  exp_i * g_i1 + amp_i * grand()
+   }
+}
+
+
+PROCEDURE new_seed(seed) {		: procedure to set the seed
+	set_seed(seed)
+	VERBATIM
+	  printf("Setting random generator with seed = %g\n", _lseed);
+	ENDVERBATIM
+}
+
+VERBATIM
+double nrn_random_pick(void* r);
+void* nrn_random_arg(int argpos);
+ENDVERBATIM
+
+FUNCTION grand() {
+VERBATIM
+    if (_p_donotuse) {
+        /*
+         : Supports separate independent but reproducible streams for
+         : each instance. However, the corresponding hoc Random
+         : distribution MUST be set to Random.uniform(0,1)
+         */
+            _lgrand = nrn_random_pick(_p_donotuse);
+    }else{
+        /* only can be used in main thread */
+        if (_nt != nrn_threads) {
+hoc_execerror("multithread random in InUnif"," only via hoc Random");
+        }
+ENDVERBATIM
+        : the old standby. Cannot use if reproducible parallel sim
+        : independent of nhost or which host this instance is on
+        : is desired, since each instance on this cpu draws from
+        : the same stream
+        grand = normrand(0,1)
+VERBATIM
+    }
+ENDVERBATIM
+}
+
+PROCEDURE noiseFromRandom() {
+VERBATIM
+ {
+    void** pv = (void**)(&_p_donotuse);
+    if (ifarg(1)) {
+        *pv = nrn_random_arg(1);
+    }else{
+        *pv = (void*)0;
+    }
+ }
+ENDVERBATIM
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/HCN1_Angeloetal2007.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/HCN1_Angeloetal2007.mod
new file mode 100644
index 00000000..793af2f2
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/HCN1_Angeloetal2007.mod
@@ -0,0 +1,101 @@
+TITLE I-h HCN1 channel from Kamilla Angelo, Michael London,Soren R. Christensen, and Michael Hausser 2007 J. of Neurosci.
+COMMENT
+
+We call it HCN1 as PC express only HCN1 Santoro et al. 2000
+:aggiunta di correzione per Q10 by ERICA GRANDI
+
+ENDCOMMENT
+
+NEURON {
+	SUFFIX HCN1
+	USEION h READ eh WRITE ih VALENCE 1 
+	RANGE gbar, hinf,tauh,ratetau,ih
+	RANGE hinf,tauh,eh
+}
+
+UNITS {
+	(mA) = (milliamp)
+	(mV) = (millivolt)
+}
+
+
+CONSTANT {
+	q10=3
+}
+
+PARAMETER {
+    v 		(mV)
+    : eh  =-34.4	(mV)        
+    gbar=.0001 	(mho/cm2)
+    ratetau = 1 (ms)
+    rec_temp = 23 (deg) : we set it here at room temperature as in Angelo et al. they forogot tp mention the recording temperature
+    ljp = 9.3 (mV) : liquid_junction_potential
+    v_inf_half_noljp = -90.3 (mV)
+    v_inf_k = 9.67 (mV)
+    v_tau_const = 0.0018 (1)
+    v_tau_half1_noljp = -68 (mV)
+    v_tau_half2_noljp = -68 (mV)
+    v_tau_k1 = -22 (mv)
+    v_tau_k2 = 7.14 (mv)
+ }
+
+STATE {
+    h
+}
+
+ASSIGNED {
+    eh (mV)
+    ih (mA/cm2)
+    hinf      
+    tauh
+    celsius (deg)
+    v_inf_half (mV)
+    v_tau_half1 (mV)
+    v_tau_half2 (mV)
+    qt
+}
+
+INITIAL {
+
+    : ADD Q10 correction!!!!! FATTO!!!
+    qt = q10^((celsius-37 (degC))/10 (degC))
+    v_inf_half = (v_inf_half_noljp - ljp)
+    v_tau_half1 = (v_tau_half1_noljp - ljp)
+    v_tau_half2 = (v_tau_half2_noljp - ljp)
+    
+    rate(v)
+    h=hinf
+}
+
+BREAKPOINT {
+    SOLVE states METHOD cnexp
+    ih = h*gbar*(v-eh)
+}
+
+DERIVATIVE states {  
+    rate(v)
+    h' =  (hinf - h)/tauh
+}
+
+PROCEDURE rate(v (mV)) {
+    : hinf=1/( 1+exp((90+v)/9.67) )
+    : tauh=ratetau*1/(0.0018*( exp((v+68)/-22) + exp((v+68)/7.14) ))
+    hinf = 1 / (1+exp( (v-v_inf_half) / v_inf_k) )
+    tauh = (ratetau / (v_tau_const * ( exp( (v-v_tau_half1) / v_tau_k1) + exp( (v-v_tau_half2) / v_tau_k2) )))/qt
+}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ih.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ih.mod
new file mode 100644
index 00000000..0e0c822d
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Ih.mod
@@ -0,0 +1,73 @@
+:Comment :
+:Reference : :		Kole,Hallermann,and Stuart, J. Neurosci. 2006
+
+NEURON	{
+	SUFFIX Ih
+	NONSPECIFIC_CURRENT ihcn
+	RANGE gbar, g, ihcn, shift1, shift2, shift3, shift4, shift5, shift6
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	ehcn = -45.0 (mV)
+	shift1 = 154.9
+	shift2 = 11.9
+	shift3 = 0
+	shift4 = 33.1
+	shift5 = 6.43
+	shift6 = 193
+}
+
+ASSIGNED	{
+	v	(mV)
+	ihcn	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ihcn = g*(v-ehcn)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+				if(v == -shift1){
+						v = v + 0.0001
+				}
+				if(shift4 == 0){
+						shift4 = shift4 + 0.0001
+				}
+				if(shift2 == 0){
+						shift2 = shift2 + 0.0001
+				}
+		mAlpha =  0.001*(shift5)*(v+shift1)/(exp((v+shift1)/(shift2))-1)
+		mBeta  =  0.001*(shift6)*exp((v+shift3)/(shift4))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = 1/(mAlpha + mBeta)
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Im.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Im.mod
new file mode 100644
index 00000000..14d8566c
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Im.mod
@@ -0,0 +1,61 @@
+:Reference : :		Adams et al. 1982 - M-currents and other potassium currents in bullfrog sympathetic neurones
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Im
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+
+	UNITSOFF
+		mAlpha = 3.3e-3*exp(2.5*0.04*(v - -35))
+		mBeta = 3.3e-3*exp(-2.5*0.04*(v - -35))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Im_v2.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Im_v2.mod
new file mode 100755
index 00000000..fc219f71
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Im_v2.mod
@@ -0,0 +1,59 @@
+: Based on Im model of Vervaeke et al. (2006)
+
+NEURON	{
+	SUFFIX Im_v2
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-30)/10)
+  mAlpha = 0.007 * exp( (6 * 0.4 * (v - (-48))) / 26.12 )
+  mBeta = 0.007 * exp( (-6 * (1 - 0.4) * (v - (-48))) / 26.12 )
+
+	mInf = mAlpha / (mAlpha + mBeta)
+  mTau = (15 + 1 / (mAlpha + mBeta)) / qt
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_P.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_P.mod
new file mode 100644
index 00000000..899a4240
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_P.mod
@@ -0,0 +1,72 @@
+:Comment : The persistent component of the K current
+:Reference : :		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+:Comment : shifted -10 mv to correct for junction potential
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+
+NEURON	{
+	SUFFIX K_P
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+	UNITSOFF
+		v = v + 10
+		mInf =  (1/(1 + exp(-(v+1)/12)))
+        if(v<-50){
+		    mTau =  (1.25+175.03*exp(-v * -0.026))/qt
+        }else{
+            mTau = ((1.25+13*exp(-v*0.026)))/qt
+        }
+		hInf =  1/(1 + exp(-(v+54)/-11))
+		hTau =  (360+(1010+24*(v+55))*exp(-((v+75)/48)^2))/qt
+		v = v - 10
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_Pst.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_Pst.mod
new file mode 100755
index 00000000..a6e27461
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_Pst.mod
@@ -0,0 +1,72 @@
+:Comment : The persistent component of the K current
+:Reference : :		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+:Comment : shifted -10 mv to correct for junction potential
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+
+NEURON	{
+	SUFFIX K_Pst
+	USEION k READ ek WRITE ik
+	RANGE gK_Pstbar, gK_Pst, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gK_Pstbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	gK_Pst	(S/cm2)
+	mInf
+	mTau    (ms)
+	hInf
+	hTau    (ms)
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	gK_Pst = gK_Pstbar*m*m*h
+	ik = gK_Pst*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+	UNITSOFF
+		v = v + 10
+		mInf =  (1/(1 + exp(-(v+1)/12)))
+        if(v<-50){
+		    mTau =  (1.25+175.03*exp(-v * -0.026))/qt
+        }else{
+            mTau = ((1.25+13*exp(-v*0.026)))/qt
+        }
+		hInf =  1/(1 + exp(-(v+54)/-11))
+		hTau =  (360+(1010+24*(v+55))*exp(-((v+75)/48)^2))/qt
+		v = v - 10
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_T.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_T.mod
new file mode 100644
index 00000000..a82db648
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_T.mod
@@ -0,0 +1,68 @@
+:Comment : The transient component of the K current
+:Reference : :		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+:Comment : shifted -10 mv to correct for junction potential
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX K_T
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*(m^4)*h
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+
+	UNITSOFF
+		v = v + 10
+		mInf =  1/(1 + exp(-(v+0)/19))
+		mTau =  (0.34+0.92*exp(-((v+71)/59)^2))/qt
+		hInf =  1/(1 + exp(-(v+66)/-10))
+		hTau =  (8+49*exp(-((v+73)/23)^2))/qt
+		v = v - 10
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_Tst.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_Tst.mod
new file mode 100755
index 00000000..9d2849af
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/K_Tst.mod
@@ -0,0 +1,68 @@
+:Comment : The transient component of the K current
+:Reference : :		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+:Comment : shifted -10 mv to correct for junction potential
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX K_Tst
+	USEION k READ ek WRITE ik
+	RANGE gK_Tstbar, gK_Tst, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gK_Tstbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	gK_Tst	(S/cm2)
+	mInf
+	mTau    (ms)
+	hInf
+	hTau    (ms)
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	gK_Tst = gK_Tstbar*(m^4)*h
+	ik = gK_Tst*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+
+	UNITSOFF
+		v = v + 10
+		mInf =  1/(1 + exp(-(v+0)/19))
+		mTau =  (0.34+0.92*exp(-((v+71)/59)^2))/qt
+		hInf =  1/(1 + exp(-(v+66)/-10))
+		hTau =  (8+49*exp(-((v+73)/23)^2))/qt
+		v = v - 10
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kca11.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kca11.mod
new file mode 100644
index 00000000..46bcd656
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kca11.mod
@@ -0,0 +1,187 @@
+TITLE Large conductance Ca2+ activated K+ channel mslo
+
+COMMENT
+
+Parameters from Cox et al. (1987) J Gen Physiol 110:257-81 (patch 1).
+
+Current Model Reference: Anwar H, Hong S, De Schutter E (2010) Controlling Ca2+-activated K+ channels with models of Ca2+ buffering in Purkinje cell. Cerebellum*
+
+*Article available as Open Access
+
+PubMed link: http://www.ncbi.nlm.nih.gov/pubmed/20981513
+
+
+Written by Sungho Hong, Okinawa Institute of Science and Technology, March 2009.
+Contact: Sungho Hong (shhong@oist.jp)
+
+Suffix from mslo to Kca1_1
+
+ENDCOMMENT
+
+NEURON {
+  SUFFIX Kca1_1
+  USEION k READ ek WRITE ik
+  USEION ca READ cai
+  RANGE g, gbar, ik
+
+}
+
+UNITS { 
+    (mV) = (millivolt)
+    (S) = (siemens)
+    (molar) = (1/liter)
+    (mM) = (millimolar)
+    FARADAY = (faraday) (kilocoulombs)
+    R = (k-mole) (joule/degC)
+}
+
+CONSTANT {
+    q10 = 3
+}
+
+PARAMETER {
+    gbar = 0.01 (S/cm2)
+    
+    Qo = 0.73
+    Qc = -0.67
+    
+    k1 = 1.0e3 (/mM)
+    onoffrate = 1 (/ms)
+    
+    L0 = 1806
+    Kc = 11.0e-3 (mM)
+    Ko = 1.1e-3 (mM)
+    
+    pf0 = 2.39e-3  (/ms)
+    pf1 = 7.0e-3  (/ms)
+    pf2 = 40e-3   (/ms)
+    pf3 = 295e-3  (/ms)
+    pf4 = 557e-3  (/ms)
+    
+    pb0 = 3936e-3 (/ms)
+    pb1 = 1152e-3 (/ms)
+    pb2 = 659e-3  (/ms)
+    pb3 = 486e-3  (/ms)
+    pb4 = 92e-3  (/ms)
+}
+
+ASSIGNED {
+    : rates
+    c01    (/ms)
+    c12    (/ms)
+    c23    (/ms)
+    c34    (/ms)
+    o01    (/ms)
+    o12    (/ms)
+    o23    (/ms)
+    o34    (/ms)
+    f0     (/ms)
+    f1     (/ms)
+    f2     (/ms)
+    f3     (/ms)
+    f4     (/ms)
+
+    c10    (/ms)
+    c21    (/ms)
+    c32    (/ms)
+    c43    (/ms)
+    o10    (/ms)
+    o21    (/ms)
+    o32    (/ms)
+    o43    (/ms)
+    b0     (/ms)
+    b1     (/ms)
+    b2     (/ms)
+    b3     (/ms)
+    b4     (/ms)
+    
+    v            (mV)
+    cai          (mM)
+    ek           (mV)
+    ik           (milliamp/cm2)
+    g            (S/cm2)
+    celsius      (degC)
+}
+
+STATE {
+    C0 FROM 0 TO 1
+    C1 FROM 0 TO 1
+    C2 FROM 0 TO 1
+    C3 FROM 0 TO 1
+    C4 FROM 0 TO 1
+    O0 FROM 0 TO 1
+    O1 FROM 0 TO 1
+    O2 FROM 0 TO 1
+    O3 FROM 0 TO 1
+    O4 FROM 0 TO 1
+}
+
+BREAKPOINT {
+    SOLVE activation METHOD sparse
+    g = gbar * (O0 + O1 + O2 + O3 + O4)
+    ik = g * (v - ek)
+}
+
+INITIAL {
+:    rates(v, cai)
+:    SOLVE seqinitial
+    SOLVE activation STEADYSTATE sparse
+}
+
+KINETIC activation {
+    rates(v, cai)
+    ~ C0 <-> C1      (c01,c10)
+    ~ C1 <-> C2      (c12,c21)
+    ~ C2 <-> C3      (c23,c32)
+    ~ C3 <-> C4      (c34,c43)
+    ~ O0 <-> O1      (o01,o10)
+    ~ O1 <-> O2      (o12,o21)
+    ~ O2 <-> O3      (o23,o32)
+    ~ O3 <-> O4      (o34,o43)
+    ~ C0 <-> O0      (f0 , b0)
+    ~ C1 <-> O1      (f1 , b1)
+    ~ C2 <-> O2      (f2 , b2)
+    ~ C3 <-> O3      (f3 , b3)
+    ~ C4 <-> O4      (f4 , b4)
+
+CONSERVE C0 + C1 + C2 + C3 + C4 + O0 + O1 + O2 + O3 + O4 = 1
+}
+
+PROCEDURE rates(v(mV), ca (mM)) { 
+    LOCAL qt, alpha, beta
+    
+    qt = q10^((celsius-23 (degC))/10 (degC))
+    
+    c01 = 4*ca*k1*onoffrate*qt
+    c12 = 3*ca*k1*onoffrate*qt
+    c23 = 2*ca*k1*onoffrate*qt
+    c34 = 1*ca*k1*onoffrate*qt
+    o01 = 4*ca*k1*onoffrate*qt
+    o12 = 3*ca*k1*onoffrate*qt
+    o23 = 2*ca*k1*onoffrate*qt
+    o34 = 1*ca*k1*onoffrate*qt
+    
+    c10 = 1*Kc*k1*onoffrate*qt
+    c21 = 2*Kc*k1*onoffrate*qt
+    c32 = 3*Kc*k1*onoffrate*qt
+    c43 = 4*Kc*k1*onoffrate*qt
+    o10 = 1*Ko*k1*onoffrate*qt
+    o21 = 2*Ko*k1*onoffrate*qt
+    o32 = 3*Ko*k1*onoffrate*qt
+    o43 = 4*Ko*k1*onoffrate*qt
+    
+    alpha = exp(Qo*FARADAY*v/R/(273.15 + celsius))
+    beta  = exp(Qc*FARADAY*v/R/(273.15 + celsius))
+    
+    f0  = pf0*alpha*qt
+    f1  = pf1*alpha*qt
+    f2  = pf2*alpha*qt
+    f3  = pf3*alpha*qt
+    f4  = pf4*alpha*qt
+    
+    b0  = pb0*beta*qt
+    b1  = pb1*beta*qt
+    b2  = pb2*beta*qt
+    b3  = pb3*beta*qt
+    b4  = pb4*beta*qt
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kca22.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kca22.mod
new file mode 100644
index 00000000..b477bd0f
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kca22.mod
@@ -0,0 +1,132 @@
+TITLE SK2 multi-state model Cerebellum Golgi Cell Model
+
+COMMENT
+
+Author:Sergio Solinas, Lia Forti, Egidio DAngelo
+Based on data from: Hirschberg, Maylie, Adelman, Marrion J Gen Physiol 1998
+Last revised: May 2007
+
+Published in:
+             Sergio M. Solinas, Lia Forti, Elisabetta Cesana, 
+             Jonathan Mapelli, Erik De Schutter and Egidio D`Angelo (2008)
+             Computational reconstruction of pacemaking and intrinsic 
+             electroresponsiveness in cerebellar golgi cells
+             Frontiers in Cellular Neuroscience 2:2
+
+Suffix from SK2 to Kca2_2
+
+ENDCOMMENT
+
+NEURON{
+	SUFFIX Kca2_2
+	USEION ca READ cai
+	USEION k READ ek WRITE ik 
+	RANGE gkbar, g, ik, tcorr
+}
+
+UNITS {
+	(mA) = (milliamp)
+	(mV) = (millivolt)
+	(molar) = (1/liter)
+	(mM) = (millimolar)
+}
+
+PARAMETER {
+	celsius  (degC)
+	cai (mM)
+	gkbar = 0.038 (mho/cm2)
+	Q10 = 3 (1)
+	diff = 3 (1) : diffusion factor
+
+: rates ca-indipendent
+	invc1 = 80e-3  ( /ms)
+	invc2 = 80e-3  ( /ms)
+	invc3 = 200e-3 ( /ms)
+
+	invo1 = 1      ( /ms)
+	invo2 = 100e-3 ( /ms)
+	diro1 = 160e-3 ( /ms)
+	diro2 = 1.2    ( /ms)
+
+: rates ca-dipendent
+	dirc2 = 200 ( /ms-mM )
+	dirc3 = 160 ( /ms-mM )
+	dirc4 = 80  ( /ms-mM )
+
+}
+
+ASSIGNED{ 
+	v	(mV) 
+	ek	(mV) 
+	g	(mho/cm2) 
+	ik	(mA/cm2) 
+	invc1_t  ( /ms)
+	invc2_t  ( /ms)
+	invc3_t  ( /ms)
+	invo1_t  ( /ms)
+	invo2_t  ( /ms)
+	diro1_t  ( /ms)
+	diro2_t  ( /ms)
+	dirc2_t  ( /ms-mM)
+	dirc3_t  ( /ms-mM)
+	dirc4_t  ( /ms-mM)
+	tcorr	 (1)
+
+	dirc2_t_ca  ( /ms)
+	dirc3_t_ca  ( /ms)
+	dirc4_t_ca  ( /ms)
+} 
+
+STATE {
+	c1
+	c2
+	c3
+	c4
+	o1
+	o2
+}
+
+BREAKPOINT{ 
+	SOLVE kin METHOD sparse 
+	g = gkbar*(o1+o2)	:(mho/cm2)
+	ik = g*(v-ek)		:(mA/cm2)
+} 
+
+INITIAL{
+	rate(celsius)
+	SOLVE kin STEADYSTATE sparse
+} 
+
+KINETIC kin{ 
+	rates(cai/diff) 
+	~c1<->c2 (dirc2_t_ca, invc1_t) 
+	~c2<->c3 (dirc3_t_ca, invc2_t) 
+	~c3<->c4 (dirc4_t_ca, invc3_t) 
+	~c3<->o1 (diro1_t, invo1_t) 
+	~c4<->o2 (diro2_t, invo2_t) 
+	CONSERVE c1+c2+c3+c4+o2+o1=1 
+} 
+
+FUNCTION temper (Q10, celsius (degC)) {
+	temper = Q10^((celsius -23(degC)) / 10(degC)) 
+}
+
+PROCEDURE rates(cai(mM)){
+	dirc2_t_ca = dirc2_t*cai
+	dirc3_t_ca = dirc3_t*cai
+	dirc4_t_ca = dirc4_t*cai 
+} 
+
+PROCEDURE rate (celsius(degC)) {
+	tcorr = temper (Q10,celsius)
+	invc1_t = invc1*tcorr  
+	invc2_t = invc2*tcorr
+	invc3_t = invc3*tcorr 
+	invo1_t = invo1*tcorr 
+	invo2_t = invo2*tcorr 
+	diro1_t = diro1*tcorr 
+	diro2_t = diro2*tcorr 
+	dirc2_t = dirc2*tcorr
+	dirc3_t = dirc3*tcorr
+	dirc4_t = dirc4*tcorr
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kca31.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kca31.mod
new file mode 100644
index 00000000..2fd47b8b
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kca31.mod
@@ -0,0 +1,92 @@
+TITLE Calcium dependent potassium channel
+: Implemented in Rubin and Cleland (2006) J Neurophysiology
+: Parameters from Bhalla and Bower (1993) J Neurophysiology
+: Adapted from /usr/local/neuron/demo/release/nachan.mod - squid
+:   by Andrew Davison, The Babraham Institute  [Brain Res Bulletin, 2000]
+
+:Suffix from Kca3 to Kca3_1
+
+NEURON {
+    THREADSAFE
+	SUFFIX Kca3_1
+	USEION k READ ek WRITE ik
+	USEION ca READ cai
+	RANGE gkbar, ik, Yconcdep, Yvdep
+	RANGE Yalpha, Ybeta, tauY, Y_inf
+}
+
+UNITS {
+	(mA) = (milliamp)
+	(mV) = (millivolt)
+	(molar) = (1/liter)
+	(mM) = (millimolar)
+}
+
+INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
+
+CONSTANT {
+	q10 = 3
+}
+
+PARAMETER {
+	v (mV)
+	dt (ms)
+	gkbar= 0.120 (mho/cm2) <0,1e9>
+	Ybeta = 0.05 (/ms)
+	cai (mM) := 1e-5 (mM)
+}
+
+
+STATE {
+	Y
+}
+
+ASSIGNED {
+	ik (mA/cm2)
+	Yalpha   (/ms)
+	Yvdep    
+	Yconcdep (/ms)
+	tauY (ms)
+	Y_inf
+	ek (mV)
+
+	qt
+}
+
+INITIAL {
+	rate(v,cai)
+	Y = Yalpha/(Yalpha + Ybeta)
+	qt = q10^((celsius-37 (degC))/10 (degC))
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	ik = gkbar*Y*(v - ek)
+}
+
+DERIVATIVE state {
+	rate(v,cai)
+	Y' = Yalpha*(1-Y) - Ybeta*Y
+}
+
+PROCEDURE rate(v(mV),cai(mM)) {
+	vdep(v)
+	concdep(cai)
+	Yalpha = Yvdep*Yconcdep
+	tauY = 1/(Yalpha + Ybeta)
+	Y_inf = Yalpha/(Yalpha + Ybeta) /qt
+}
+
+PROCEDURE vdep(v(mV)) {
+	TABLE Yvdep FROM -100 TO 100 WITH 100
+	Yvdep = exp((v*1(/mV)+70)/27)
+}
+
+PROCEDURE concdep(cai(mM)) {
+	TABLE Yconcdep FROM 0 TO 0.01 WITH 1000
+	if (cai < 0.01) {
+		Yconcdep = 500(/ms)*( 0.015-cai*1(/mM) )/( exp((0.015-cai*1(/mM))/0.0013) -1 )
+	} else {
+		Yconcdep = 500(/ms)*0.005/( exp(0.005/0.0013) -1 )
+	}
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kd.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kd.mod
new file mode 100755
index 00000000..82cbe59a
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kd.mod
@@ -0,0 +1,62 @@
+: Based on Kd model of Foust et al. (2011)
+
+
+NEURON	{
+	SUFFIX Kd
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m * h
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+	h' = (hInf - h) / hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+	mInf = 1 - 1 / (1 + exp((v - (-43)) / 8))
+  mTau = 1
+  hInf = 1 / (1 + exp((v - (-67)) / 7.3))
+  hTau = 1500
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kir23.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kir23.mod
new file mode 100644
index 00000000..669e10cf
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kir23.mod
@@ -0,0 +1,95 @@
+TITLE Cerebellum Granule Cell Model
+
+COMMENT
+	Reference: Theta-Frequency Bursting and Resonance in Cerebellar Granule Cells:Experimental
+	Evidence and Modeling of a Slow K+-Dependent Mechanism
+	Egidio D'Angelo,Thierry Nieus,Arianna Maffei,Simona Armano,Paola Rossi,Vanni Taglietti,
+	Andrea Fontana and Giovanni Naldi
+
+Suffix from Ubc_Kir to Kir2_3
+ENDCOMMENT
+ 
+NEURON { 
+	SUFFIX Kir2_3
+	USEION k READ ek WRITE ik 
+	RANGE gkbar, ik, g, alpha_d, beta_d, ek
+	RANGE Aalpha_d, Kalpha_d, V0alpha_d
+	RANGE Abeta_d, Kbeta_d, V0beta_d
+	RANGE d_inf, tau_d 
+} 
+ 
+UNITS { 
+	(mA) = (milliamp) 
+	(mV) = (millivolt) 
+} 
+ 
+PARAMETER { 
+	Aalpha_d = 0.13289 (/ms)
+
+	
+	Kalpha_d = -24.3902 (mV)
+
+	V0alpha_d = -83.94 (mV)
+	Abeta_d = 0.16994 (/ms)
+
+	
+	Kbeta_d = 35.714 (mV)
+
+	V0beta_d = -83.94 (mV)
+	v (mV) 
+	gkbar = 0.0009 (mho/cm2) 
+	ek (mV) 
+	celsius = 30 (degC) 
+} 
+
+STATE { 
+	d 
+} 
+
+ASSIGNED { 
+	ik (mA/cm2) 
+	d_inf 
+	tau_d (ms) 
+	g (mho/cm2) 
+	alpha_d (/ms) 
+	beta_d (/ms) 
+} 
+ 
+INITIAL { 
+	rate(v) 
+	d = d_inf 
+} 
+ 
+BREAKPOINT { 
+	SOLVE states METHOD derivimplicit
+	g = gkbar*d   
+	ik = g*(v - ek) 
+	alpha_d = alp_d(v) 
+	beta_d = bet_d(v) 
+} 
+ 
+DERIVATIVE states { 
+	rate(v) 
+	d' =(d_inf - d)/tau_d 
+} 
+ 
+FUNCTION alp_d(v(mV))(/ms) { LOCAL Q10
+	Q10 = 3^((celsius-20(degC))/10(degC))
+	alp_d = Q10*Aalpha_d*exp((v-V0alpha_d)/Kalpha_d) 
+} 
+ 
+FUNCTION bet_d(v(mV))(/ms) { LOCAL Q10
+	Q10 = 3^((celsius-20(degC))/10(degC))
+	bet_d = Q10*Abeta_d*exp((v-V0beta_d)/Kbeta_d) 
+} 
+ 
+PROCEDURE rate(v (mV)) {LOCAL a_d, b_d 
+	TABLE d_inf, tau_d  
+	DEPEND Aalpha_d, Kalpha_d, V0alpha_d, 
+	       Abeta_d, Kbeta_d, V0beta_d, celsius FROM -100 TO 100 WITH 200 
+	a_d = alp_d(v)  
+	b_d = bet_d(v) 
+	tau_d = 1/(a_d + b_d) 
+	d_inf = a_d/(a_d + b_d) 
+} 
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv11.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv11.mod
new file mode 100644
index 00000000..a8ea3e27
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv11.mod
@@ -0,0 +1,145 @@
+TITLE Voltage-gated low threshold potassium current from Kv1 subunits
+
+COMMENT
+
+NEURON implementation of a potassium channel from Kv1.1 subunits
+Kinetical scheme: Hodgkin-Huxley m^4, no inactivation
+
+Experimental data taken from:
+Human Kv1.1 expressed in xenopus oocytes: Zerr et al., J Neurosci 18, 2842, 2848, 1998
+Vhalf = -28.8 +- 2.3 mV; k = 8.1+- 0.9 mV
+
+The voltage dependency of the rate constants was approximated by:
+
+alpha = ca * exp(-(v+cva)/cka)
+beta = cb * exp(-(v+cvb)/ckb)
+
+Parameters ca, cva, cka, cb, cvb, ckb
+were determined from least square-fits to experimental data of G/Gmax(v) and tau(v).
+Values are defined in the CONSTANT block.
+Model includes calculation of Kv gating current
+
+Reference: Akemann et al., Biophys. J. (2009) 96: 3959-3976
+
+Laboratory for Neuronal Circuit Dynamics
+RIKEN Brain Science Institute, Wako City, Japan
+http://www.neurodynamics.brain.riken.jp
+
+Date of Implementation: April 2007
+Contact: akemann@brain.riken.jp
+
+Suffix from Kv1 to Kv1_1
+
+ENDCOMMENT
+
+
+NEURON {
+    THREADSAFE
+	SUFFIX Kv1_1
+	USEION k READ ek WRITE ik
+	NONSPECIFIC_CURRENT i
+	RANGE g, gbar, ik, i , igate, nc
+	RANGE ninf, taun
+	RANGE gateCurrent, gunit
+}
+
+UNITS {
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+	(nA) = (nanoamp)
+	(pA) = (picoamp)
+	(S)  = (siemens)
+	(nS) = (nanosiemens)
+	(pS) = (picosiemens)
+	(um) = (micron)
+	(molar) = (1/liter)
+	(mM) = (millimolar)		
+}
+
+CONSTANT {
+	e0 = 1.60217646e-19 (coulombs)
+	q10 = 2.7
+
+	ca = 0.12889 (1/ms)
+	cva = 45 (mV)
+	cka = -33.90877 (mV)
+
+	cb = 0.12889 (1/ms)
+      cvb = 45 (mV)
+	ckb = 12.42101 (mV) 
+
+	zn = 2.7978 (1)		: valence of n-gate         
+}
+
+PARAMETER {
+	gateCurrent = 0 (1)	: gating currents ON = 1 OFF = 0
+	
+	gbar = 0.004 (S/cm2)   <0,1e9>
+	gunit = 16 (pS)		: unitary conductance 
+}
+
+
+ASSIGNED {
+ 	celsius (degC)
+	v (mV)	
+
+	ik (mA/cm2)
+	i (mA/cm2)
+	igate (mA/cm2) 
+	ek (mV)
+	g  (S/cm2)
+	nc (1/cm2)			: membrane density of channel
+	
+	ninf (1)
+	taun (ms)
+	alphan (1/ms)
+	betan (1/ms)
+	qt (1)
+}
+
+STATE { n }
+
+INITIAL {
+	nc = (1e12) * gbar / gunit
+	qt = q10^((celsius-22 (degC))/10 (degC))
+	rates(v)
+	n = ninf
+}
+
+BREAKPOINT {
+	SOLVE states METHOD cnexp
+      g = gbar * n^4 
+	ik = g * (v - ek)
+	igate = nc * (1e6) * e0 * 4 * zn * ngateFlip()
+
+	if (gateCurrent != 0) { 
+		i = igate
+	}
+}
+
+DERIVATIVE states {
+	rates(v)
+	n' = (ninf-n)/taun 
+}
+
+PROCEDURE rates(v (mV)) {
+	alphan = alphanfkt(v)
+	betan = betanfkt(v)
+	ninf = alphan/(alphan+betan) 
+	taun = 1/(qt*(alphan + betan))       
+}
+
+FUNCTION alphanfkt(v (mV)) (1/ms) {
+	alphanfkt = ca * exp(-(v+cva)/cka) 
+}
+
+FUNCTION betanfkt(v (mV)) (1/ms) {
+	betanfkt = cb * exp(-(v+cvb)/ckb)
+}
+
+FUNCTION ngateFlip() (1/ms) {
+	ngateFlip = (ninf-n)/taun 
+}
+
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv15.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv15.mod
new file mode 100644
index 00000000..3b84f430
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv15.mod
@@ -0,0 +1,118 @@
+TITLE Cardiac IKur  current & nonspec cation current with identical kinetics
+: Hodgkin - Huxley type channels, modified to fit IKur data from Feng et al Am J Physiol 1998 275:H1717 - H 1725
+: Suffix from Kv15 to Kv1_5
+
+NEURON {
+	SUFFIX Kv1_5
+	USEION k READ ek WRITE ik :,ki,ko
+	:USEION na READ nai,nao
+	:USEION no WRITE ino VALENCE 1: nonspecific cation current
+	RANGE gKur, ik, ino, Tauact, Tauinactf,Tauinacts, gnonspec, nao, nai, ko,ki
+	RANGE minf, ninf, uinf, mtau , ntau, utau
+}
+
+UNITS {
+	(mA) = (milliamp)
+	(mV) = (millivolt)
+        (mM) = (milli/liter)
+	F = (faraday) (coulombs)
+	R 	= (k-mole)	(joule/degC)
+}
+
+PARAMETER {
+	 gKur=0.13195e-3 (S/cm2) <0,1e9>
+	Tauact=1 (ms)
+	Tauinactf=1 (ms)
+	Tauinacts=1 (ms)
+	gnonspec=0   (S/cm2) <0,1e9>
+}
+STATE {
+	 m n u
+}
+
+ASSIGNED {
+	v (mV)
+	celsius (degC) : 37
+       	ik (mA/cm2)
+	minf ninf uinf
+	mtau (ms)
+        ntau (ms)
+	utau (ms)
+	ek (mV)
+	ino (mA/cm2)
+	ki (mM)
+	ko (mM)
+	nai (mM)
+	nao (mM)
+}
+
+INITIAL {
+	rates(v)
+	m = minf
+        n = ninf
+	u = uinf
+}
+
+BREAKPOINT { LOCAL z
+	z = (R*(celsius+273.15))/F
+	SOLVE states METHOD derivimplicit
+		ik = gKur*(0.1 + 1/(1 + exp(-(v - 15)/13)))*m*m*m*n*u*(v - ek)
+	ino=gnonspec*(0.1 + 1/(1 + exp(-(v - 15)/13)))*m*m*m*n*u*(v - z*log((nao+ko)/(nai+ki)))
+}
+
+DERIVATIVE states {	: exact when v held constant
+	rates(v)
+	m' = (minf - m)/mtau
+        n' = (ninf - n)/ntau
+	u' = (uinf - u)/utau
+}
+
+UNITSOFF
+FUNCTION alp(v(mV),i) { LOCAL q10 : order m n
+	v = v
+	q10 = 2.2^((celsius - 37)/10)
+       if (i==0) {
+	          alp = q10*0.65/(exp(-(v + 10)/8.5) + exp(-(v - 30)/59))
+          } else if (i==1) {
+                   alp = 0.001*q10/(2.4 +10.9* exp(-(v + 90)/78))
+          }
+	
+}
+
+FUNCTION bet(v(mV),i) (/ms) { LOCAL q10 : order m n u
+	v = v 
+	q10 = 2.2^((celsius - 37)/10)
+        if (i==0){
+	         bet = q10*0.65/(2.5 + exp((v + 82)/17))
+        }else if (i==1){
+                  bet = q10*0.001*exp((v - 168)/16)
+        }
+}
+                
+FUNCTION ce(v(mV),i)(/ms) {   :  order m n u 
+        v = v
+       
+        if (i==0) {
+                ce = 1/(1 + exp(-(v + 30.3)/9.6))
+        }else if (i==1){
+                ce = 1*(0.25+1/(1.35 + exp((v + 7)/14)))
+       
+	}else if (i==2){
+                ce = 1*(0.1+1/(1.1 + exp((v + 7)/14)))
+        }
+}
+
+
+PROCEDURE rates(v) {LOCAL a,b,c :
+	
+		a = alp(v,0)  b=bet(v,0) c = ce(v,0)
+		mtau = 1/(a + b)/3*Tauact
+		minf = c
+               a = alp(v,1)  b=bet(v,1) c = ce(v,1)
+		ntau = 1/(a + b)/3*Tauinactf
+		ninf = c
+		c = ce(v,2)
+		uinf = c
+		utau = 6800*Tauinacts
+}
+UNITSON
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv2like.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv2like.mod
new file mode 100755
index 00000000..1cbdf843
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv2like.mod
@@ -0,0 +1,86 @@
+: Kv2-like channel
+: Adapted from model implemented in Keren et al. 2005
+: Adjusted parameters to be similar to guangxitoxin-sensitive current in mouse CA1 pyramids from Liu and Bean 2014
+
+
+NEURON	{
+	SUFFIX Kv2like
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mAlpha
+	mBeta
+	mTau
+	hInf
+	h1Tau
+	h2Tau
+}
+
+STATE	{
+	m
+	h1
+	h2
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m * m * (0.5 * h1 + 0.5 * h2)
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+	h1' = (hInf - h1) / h1Tau
+	h2' = (hInf - h2) / h2Tau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h1 = hInf
+	h2 = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+	UNITSOFF
+		mAlpha = 0.12 * vtrap( -(v - 43), 11.0)
+		mBeta = 0.02 * exp(-(v + 1.27) / 120)
+		mInf = mAlpha / (mAlpha + mBeta)
+		mTau = 2.5 * (1 / (qt * (mAlpha + mBeta)))
+
+		hInf =  1/(1 + exp((v + 58) / 11))
+		h1Tau = (360 + (1010 + 23.7 * (v + 54)) * exp(-((v + 75) / 48)^2)) / qt
+		h2Tau = (2350 + 1380 * exp(-0.011 * v) - 210 * exp(-0.03 * v)) / qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv33.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv33.mod
new file mode 100644
index 00000000..3d49d891
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv33.mod
@@ -0,0 +1,141 @@
+TITLE Voltage-gated potassium channel from Kv3 subunits
+
+COMMENT
+Voltage-gated potassium channel with high threshold and fast activation/deactivation kinetics
+
+KINETIC SCHEME: Hodgkin-Huxley (n^4)
+n'= alpha * (1-n) - betha * n
+g(v) = gbar * n^4 * ( v-ek )
+
+The rate constants of activation (alpha) and deactivation (beta) were approximated by:
+
+alpha(v) = ca * exp(-(v+cva)/cka)
+beta(v) = cb * exp(-(v+cvb)/ckb)
+
+Parameters can, cvan, ckan, cbn, cvbn, ckbn are given in the CONSTANT block.
+Values derive from least-square fits to experimental data of G/Gmax(v) and taun(v) in Martina et al. J Neurophys. 97 (563-671, 2007.
+Model includes a calculation of Kv gating current
+
+Reference: Akemann et al., Biophys. J. (2009) 96: 3959-3976
+
+Laboratory for Neuronal Circuit Dynamics
+RIKEN Brain Science Institute, Wako City, Japan
+http://www.neurodynamics.brain.riken.jp
+
+Date of Implementation: April 2007
+Contact: akemann@brain.riken.jp
+
+Suffix from Kv3 to Kv3_3
+
+ENDCOMMENT
+
+
+NEURON {
+    THREADSAFE
+	SUFFIX Kv3_3
+	USEION k READ ek WRITE ik
+	NONSPECIFIC_CURRENT i
+	RANGE gbar, g, ik, i, igate, nc
+	RANGE ninf, taun
+	RANGE gateCurrent, gunit
+}
+
+UNITS {
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+	(nA) = (nanoamp)
+	(pA) = (picoamp)
+	(S)  = (siemens)
+	(mS) = (millisiemens)
+	(nS) = (nanosiemens)
+	(pS) = (picosiemens)
+	(um) = (micron)
+	(molar) = (1/liter)
+	(mM) = (millimolar)		
+}
+
+CONSTANT {
+	e0 = 1.60217646e-19 (coulombs)
+	q10 = 2.7
+
+	ca = 0.22 (1/ms)
+	cva = 16 (mV)
+	cka = -26.5 (mV)
+	cb = 0.22 (1/ms)
+	cvb = 16 (mV)
+	ckb = 26.5 (mV)
+	
+	zn = 1.9196 (1)		: valence of n-gate
+}
+
+PARAMETER {
+	gateCurrent = 0 (1)	: gating currents ON = 1 OFF = 0
+	
+	gbar = 0.005 (S/cm2)   <0,1e9>
+	gunit = 16 (pS)		: unitary conductance 
+}
+
+ASSIGNED {
+	celsius (degC)
+	v (mV)
+	
+	ik (mA/cm2)
+	igate (mA/cm2)
+	i (mA/cm2)
+ 
+	ek (mV)
+	g (S/cm2)
+	nc (1/cm2)
+	qt (1)
+
+	ninf (1)
+	taun (ms)
+	alpha (1/ms)
+	beta (1/ms)
+}
+
+STATE { n }
+
+INITIAL {
+	nc = (1e12) * gbar / gunit
+	qt = q10^((celsius-22 (degC))/10 (degC))
+	rateConst(v)
+	n = ninf
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+      g = gbar * n^4 
+	ik = g * (v - ek)
+	igate = nc * (1e6) * e0 * 4 * zn * ngateFlip()
+
+	if (gateCurrent != 0) { 
+		i = igate
+	}
+}
+
+DERIVATIVE state {
+	rateConst(v)
+	n' = alpha * (1-n) - beta * n
+}
+
+PROCEDURE rateConst(v (mV)) {
+	alpha = qt * alphaFkt(v)
+	beta = qt * betaFkt(v)
+	ninf = alpha / (alpha + beta) 
+	taun = 1 / (alpha + beta)
+}
+
+FUNCTION alphaFkt(v (mV)) (1/ms) {
+	alphaFkt = ca * exp(-(v+cva)/cka) 
+}
+
+FUNCTION betaFkt(v (mV)) (1/ms) {
+	betaFkt = cb * exp(-(v+cvb)/ckb)
+}
+
+FUNCTION ngateFlip() (1/ms) {
+	ngateFlip = (ninf-n)/taun 
+}
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv34.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv34.mod
new file mode 100644
index 00000000..6b187a87
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv34.mod
@@ -0,0 +1,100 @@
+: HH TEA-sensitive Purkinje potassium current
+: Created 8/5/02 - nwg
+
+: Suffix from kpkj to Kv3_4
+
+NEURON {
+	SUFFIX Kv3_4
+	USEION k READ ek WRITE ik
+	RANGE gkbar, ik
+	RANGE minf, hinf, mtau, htau
+}
+
+UNITS {
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+CONSTANT {
+	q10 = 3
+}
+
+PARAMETER {
+	v (mV)
+
+	gkbar = .004	(mho/cm2)
+
+	mivh = -24	(mV)
+	mik = 15.4	(1)
+	mty0 = .00012851 	
+	mtvh1 = 100.7	(mV)
+	mtk1 = 12.9	(1)
+	mtvh2 = -56.0	(mV)
+	mtk2 = -23.1	(1)
+	
+	hiy0 = .31	
+	hiA = .69
+	hivh = -5.802	(mV)
+	hik = 11.2	(1)
+
+	ek
+}
+
+ASSIGNED {
+	ik		(mA/cm2)
+	minf
+	mtau		(ms)
+	hinf
+	htau		(ms)
+        qt
+}
+
+STATE {
+	m
+	h
+}
+
+INITIAL {
+	rates(v)
+	m = minf
+	h = hinf
+
+	qt = q10^((celsius-37 (degC))/10 (degC))
+}
+
+BREAKPOINT {
+	SOLVE states METHOD cnexp
+	ik = gkbar * m^3 * h * (v - ek)
+}
+
+DERIVATIVE states {
+	rates(v)
+	m' = (minf - m) / mtau
+	h' = (hinf - h) / htau
+}
+
+PROCEDURE rates( Vm (mV)) {
+	LOCAL v
+	v = Vm + 11	: Account for Junction Potential
+	minf = 1/(1+exp(-(v-mivh)/mik)) 
+	mtau = (1000) * mtau_func(v) /qt
+	hinf = hiy0 + hiA/(1+exp((v-hivh)/hik))
+	htau = 1000 * htau_func(v) / qt
+}
+
+FUNCTION mtau_func (v (mV)) (ms) {
+	if (v < -35) {
+		mtau_func = (3.4225e-5+.00498*exp(-v/-28.29))*3
+	} else {
+		mtau_func = (mty0 + 1/(exp((v+mtvh1)/mtk1)+exp((v+mtvh2)/mtk2)))
+	}
+}
+
+FUNCTION htau_func(Vm (mV)) (ms) {
+	if ( Vm > 0) {
+		htau_func = .0012+.0023*exp(-.141*Vm)
+	} else {
+		htau_func = 1.2202e-05 + .012 * exp(-((Vm-(-56.3))/49.6)^2)
+	}
+}
+	
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv3_1.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv3_1.mod
new file mode 100644
index 00000000..46f2741b
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv3_1.mod
@@ -0,0 +1,55 @@
+:Comment :
+:Reference : :		Characterization of a Shaw-related potassium channel family in rat brain, The EMBO Journal, vol.11, no.7,2473-2486 (1992)
+
+NEURON	{
+	SUFFIX Kv3_1
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+	vshift = 0 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+		mInf =  1/(1+exp(((v -(18.700 + vshift))/(-9.700))))
+		mTau =  0.2*20.000/(1+exp(((v -(-46.560 + vshift))/(-44.140))))
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv43.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv43.mod
new file mode 100644
index 00000000..7ef88c14
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Kv43.mod
@@ -0,0 +1,154 @@
+TITLE Cerebellum Granule Cell Model
+
+COMMENT
+        KA channel
+   
+	Author: E.D'Angelo, T.Nieus, A. Fontana
+	Last revised: Egidio 3.12.2003
+
+:Suffix from GRC_KA to Kv4_3
+ENDCOMMENT
+
+NEURON { 
+	SUFFIX Kv4_3
+	USEION k READ ek WRITE ik 
+	RANGE gkbar, ik, g, alpha_a, beta_a, alpha_b, beta_b
+	RANGE Aalpha_a, Kalpha_a, V0alpha_a
+	RANGE Abeta_a, Kbeta_a, V0beta_a
+	RANGE Aalpha_b, Kalpha_b, V0alpha_b
+	RANGE Abeta_b, Kbeta_b, V0beta_b
+	RANGE V0_ainf, K_ainf, V0_binf, K_binf
+	RANGE a_inf, tau_a, b_inf, tau_b 
+} 
+ 
+UNITS { 
+	(mA) = (milliamp) 
+	(mV) = (millivolt) 
+} 
+ 
+PARAMETER { 
+	Aalpha_a = 0.8147 (/ms) :4.88826
+	Kalpha_a = -23.32708 (mV)
+	V0alpha_a = -9.17203 (mV)
+	Abeta_a = 0.1655 (/ms)   : 0.99285	
+	Kbeta_a = 19.47175 (mV)
+	V0beta_a = -18.27914 (mV)
+
+	Aalpha_b = 0.0368 (/ms)  : 0.11042 
+	Kalpha_b = 12.8433 (mV)
+	V0alpha_b = -111.33209 (mV)   
+	Abeta_b = 0.0345(/ms)   : 0.10353 
+	Kbeta_b = -8.90123 (mV)
+	V0beta_b = -49.9537 (mV)
+
+	V0_ainf = -38(mV)
+	K_ainf = -17(mV)
+
+	V0_binf = -78.8 (mV)
+	K_binf = 8.4 (mV)
+	v (mV) 
+	gkbar= 0.0032 (mho/cm2) :0.003 
+	celsius = 30 (degC) 
+} 
+
+STATE { 
+	a
+	b 
+} 
+
+ASSIGNED { 
+	ik (mA/cm2) 
+	a_inf 
+	b_inf 
+	tau_a (ms) 
+	tau_b (ms) 
+	g (mho/cm2) 
+	alpha_a (/ms)
+	beta_a (/ms)
+	alpha_b (/ms)
+	beta_b (/ms)
+	ek (mV)
+} 
+ 
+INITIAL { 
+	rate(v) 
+	a = a_inf 
+	b = b_inf 
+} 
+ 
+BREAKPOINT { 
+	SOLVE states METHOD derivimplicit 
+	g = gkbar*a*a*a*b 
+	ik = g*(v - ek)
+	alpha_a = alp_a(v)
+	beta_a = bet_a(v) 
+	alpha_b = alp_b(v)
+	beta_b = bet_b(v) 
+} 
+ 
+DERIVATIVE states { 
+	rate(v) 
+	a' =(a_inf - a)/tau_a 
+	b' =(b_inf - b)/tau_b 
+} 
+ 
+FUNCTION alp_a(v(mV))(/ms) { LOCAL Q10
+	Q10 = 3^((celsius-25.5(degC))/10(degC))
+:	alp_a = Q10*Aalpha_a*exp(Kalpha_a*(v-V0alpha_a)) 
+:	alp_a = -0.04148(/mV-ms)*linoid(v+67.697(mV),-3.857(mV))
+	alp_a = Q10*Aalpha_a*sigm(v-V0alpha_a,Kalpha_a)
+} 
+ 
+FUNCTION bet_a(v(mV))(/ms) { LOCAL Q10
+	Q10 = 3^((celsius-25.5(degC))/10(degC))
+:	bet_a = Q10*Abeta_a*exp(Kbeta_a*(v-V0beta_a)) 
+:	bet_a = 0.0359(/mV-ms)*linoid(v+45.878(mV),23.654(mV))
+	bet_a = Q10*Abeta_a/(exp((v-V0beta_a)/Kbeta_a))
+} 
+ 
+FUNCTION alp_b(v(mV))(/ms) { LOCAL Q10
+	Q10 = 3^((celsius-25.5(degC))/10(degC))
+:	alp_b = Q10*Aalpha_b*exp(Kalpha_b*(v-V0alpha_b)) 
+:	alp_b = 0.356(/mV-ms)*linoid(v+231.03(mV),17.8(mV))
+	alp_b = Q10*Aalpha_b*sigm(v-V0alpha_b,Kalpha_b)
+} 
+ 
+FUNCTION bet_b(v(mV))(/ms) { LOCAL Q10
+	Q10 = 3^((celsius-25.5(degC))/10(degC))
+:	bet_b = Q10*Abeta_b*exp(Kbeta_b*(v-V0beta_b)) 
+:	bet_b = -0.00825(/mV-ms)*linoid(v+43.284(mV),-8.927(mV))
+	bet_b = Q10*Abeta_b*sigm(v-V0beta_b,Kbeta_b)
+} 
+ 
+PROCEDURE rate(v (mV)) {LOCAL a_a, b_a, a_b, b_b 
+	TABLE a_inf, tau_a, b_inf, tau_b 
+	DEPEND Aalpha_a, Kalpha_a, V0alpha_a, 
+	       Abeta_a, Kbeta_a, V0beta_a,
+               Aalpha_b, Kalpha_b, V0alpha_b,
+               Abeta_b, Kbeta_b, V0beta_b, celsius FROM -100 TO 30 WITH 13000 
+	a_a = alp_a(v)  
+	b_a = bet_a(v) 
+	a_b = alp_b(v)  
+	b_b = bet_b(v) 
+	a_inf = 1/(1+exp((v-V0_ainf)/K_ainf)) 
+	tau_a = 1/(a_a + b_a) 
+	b_inf = 1/(1+exp((v-V0_binf)/K_binf))
+	tau_b = 1/(a_b + b_b) 
+: Bardoni Belluzzi data
+:	a_inf = 1/(1+exp(-(v+46.7)/19.8))
+:	tau_a = 0.41*exp(-(v+43.5)/42.8)+0.167
+:	b_inf = 1/(1+exp((v+78.8)/8.4))
+:	tau_b = 10.8 + 0.03*v + 1/(57.9*exp(0.127*v)+0.000134*exp(-0.059*v))
+}
+
+FUNCTION linoid(x (mV),y (mV)) (mV) {
+        if (fabs(x/y) < 1e-6) {
+                linoid = y*(1 - x/y/2)
+        }else{
+                linoid = x/(exp(x/y) - 1)
+        }
+} 
+
+FUNCTION sigm(x (mV),y (mV)) {
+                sigm = 1/(exp(x/y) + 1)
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Leak.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Leak.mod
new file mode 100644
index 00000000..4dd56417
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Leak.mod
@@ -0,0 +1,77 @@
+COMMENT
+
+   **************************************************
+   File generated by: neuroConstruct v1.3.7 
+   **************************************************
+
+
+ENDCOMMENT
+
+
+: This is a NEURON mod file generated from a ChannelML file
+
+:  Unit system of original ChannelML file: Physiological Units
+
+COMMENT
+    ChannelML file containing a single Channel description
+ENDCOMMENT
+
+TITLE Channel: Leak
+
+COMMENT
+    Simple example of a leak/passive conductance. Note: for GENESIS cells with a single leak conductance,
+        it is better to use the Rm and Em variables for a passive current.
+ENDCOMMENT
+
+
+UNITS {
+    (mA) = (milliamp)
+    (mV) = (millivolt)
+    (S) = (siemens)
+    (um) = (micrometer)
+    (molar) = (1/liter)
+    (mM) = (millimolar)
+    (l) = (liter)
+}
+
+
+    
+NEURON {
+      
+
+    SUFFIX Leak
+    : A non specific current is present
+    RANGE e
+    NONSPECIFIC_CURRENT il
+    
+    RANGE gmax, gion,il
+    
+}
+
+PARAMETER { 
+      
+
+    gmax = 0.0003 (S/cm2) : default value, should be overwritten when conductance placed on cell
+    
+    e = -63 (mV) : default value, should be overwritten when conductance placed on cell
+    
+}
+
+
+
+ASSIGNED {
+      
+
+    v (mV)
+        
+    il (mA/cm2)
+        
+}
+
+BREAKPOINT { 
+    il = gmax*(v - e) 
+        
+
+}
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTa.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTa.mod
new file mode 100755
index 00000000..fcf7bd39
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTa.mod
@@ -0,0 +1,95 @@
+: Reference: Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTa
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+
+	malphaF = 0.182
+	mbetaF = 0.124
+	mvhalf = -48 (mV)
+	mk = 6 (mV)
+
+	halphaF = 0.015
+	hbetaF = 0.015
+	hvhalf = -69 (mV)
+	hk = 6 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+
+	UNITSOFF
+		mAlpha = malphaF * vtrap(-(v - mvhalf), mk)
+		mBeta = mbetaF * vtrap((v - mvhalf), mk)
+
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+
+		hAlpha = halphaF * vtrap(v - hvhalf, hk) : ng - adjusted this to match actual Colbert & Pan values for soma model
+		hBeta = hbetaF * vtrap(-(v - hvhalf), hk) : ng - adjusted this to match actual Colbert & Pan values for soma model
+
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTa_t.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTa_t.mod
new file mode 100755
index 00000000..44365c9a
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTa_t.mod
@@ -0,0 +1,79 @@
+:Reference :Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTa_t
+	USEION na READ ena WRITE ina
+	RANGE gNaTa_tbar, gNaTa_t, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gNaTa_tbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	gNaTa_t	(S/cm2)
+	mInf
+	mTau    (ms)
+	mAlpha
+	mBeta
+	hInf
+	hTau    (ms)
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	gNaTa_t = gNaTa_tbar*m*m*m*h
+	ina = gNaTa_t*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+	
+  UNITSOFF
+    if(v == -38){
+    	v = v+0.0001
+    }
+		mAlpha = (0.182 * (v- -38))/(1-(exp(-(v- -38)/6)))
+		mBeta  = (0.124 * (-v -38))/(1-(exp(-(-v -38)/6)))
+		mTau = (1/(mAlpha + mBeta))/qt
+		mInf = mAlpha/(mAlpha + mBeta)
+
+    if(v == -66){
+      v = v + 0.0001
+    }
+
+		hAlpha = (-0.015 * (v- -66))/(1-(exp((v- -66)/6)))
+		hBeta  = (-0.015 * (-v -66))/(1-(exp((-v -66)/6)))
+		hTau = (1/(hAlpha + hBeta))/qt
+		hInf = hAlpha/(hAlpha + hBeta)
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTg.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTg.mod
new file mode 100644
index 00000000..63051557
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTg.mod
@@ -0,0 +1,83 @@
+:Reference :Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTg
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina, vshifth, vshiftm, slopeh, slopem
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshifth = 0 (mV)
+	vshiftm = 0 (mV)
+	slopeh = 6
+	slopem = 6
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+	
+  UNITSOFF
+    if(v == (-38+vshiftm)){
+    	v = v+0.0001
+    }
+		mAlpha = (0.182 * (v- (-38+vshiftm)))/(1-(exp(-(v- (-38+vshiftm))/slopem)))
+		mBeta  = (0.124 * (-v + (-38+vshiftm)))/(1-(exp(-(-v + (-38+vshiftm))/slopem)))
+		mTau = (1/(mAlpha + mBeta))/qt
+		mInf = mAlpha/(mAlpha + mBeta)
+
+    if(v == (-66+vshifth)){
+      v = v + 0.0001
+    }
+
+		hAlpha = (-0.015 * (v- (-66+vshifth)))/(1-(exp((v- (-66+vshifth))/slopeh)))
+		hBeta  = (-0.015 * (-v +(-66+vshifth)))/(1-(exp((-v +(-66+vshifth))/slopeh)))
+		hTau = (1/(hAlpha + hBeta))/qt
+		hInf = hAlpha/(hAlpha + hBeta)
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTs.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTs.mod
new file mode 100755
index 00000000..f753e718
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTs.mod
@@ -0,0 +1,95 @@
+: Reference: Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTs
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+
+	malphaF = 0.182
+	mbetaF = 0.124
+	mvhalf = -40 (mV)
+	mk = 6 (mV)
+
+	halphaF = 0.015
+	hbetaF = 0.015
+	hvhalf = -66 (mV)
+	hk = 6 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+
+	UNITSOFF
+		mAlpha = malphaF * vtrap(-(v - mvhalf), mk)
+		mBeta = mbetaF * vtrap((v - mvhalf), mk)
+
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+
+		hAlpha = halphaF * vtrap(v - hvhalf, hk)
+		hBeta = hbetaF * vtrap(-(v - hvhalf), hk)
+
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTs2_t.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTs2_t.mod
new file mode 100755
index 00000000..9cdde2b6
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaTs2_t.mod
@@ -0,0 +1,79 @@
+:Reference :Colbert and Pan 2002
+:comment: took the NaTa and shifted both activation/inactivation by 6 mv
+
+NEURON	{
+	SUFFIX NaTs2_t
+	USEION na READ ena WRITE ina
+	RANGE gNaTs2_tbar, gNaTs2_t, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gNaTs2_tbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	gNaTs2_t	(S/cm2)
+	mInf
+	mTau    (ms)
+	mAlpha
+	mBeta
+	hInf
+	hTau    (ms)
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	gNaTs2_t = gNaTs2_tbar*m*m*m*h
+	ina = gNaTs2_t*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+
+	UNITSOFF
+    if(v == -32){
+    	v = v+0.0001
+    }
+		mAlpha = (0.182 * (v- -32))/(1-(exp(-(v- -32)/6)))
+		mBeta  = (0.124 * (-v -32))/(1-(exp(-(-v -32)/6)))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+
+    if(v == -60){
+      v = v + 0.0001
+    }
+		hAlpha = (-0.015 * (v- -60))/(1-(exp((v- -60)/6)))
+		hBeta  = (-0.015 * (-v -60))/(1-(exp((-v -60)/6)))
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaV.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaV.mod
new file mode 100755
index 00000000..a7023956
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/NaV.mod
@@ -0,0 +1,186 @@
+TITLE Mouse sodium current
+: Kinetics of Carter et al. (2012)
+: Based on 37 degC recordings from mouse hippocampal CA1 pyramids
+
+NEURON {
+  SUFFIX NaV
+  USEION na READ ena WRITE ina
+  RANGE g, gbar
+}
+
+UNITS { 
+	(mV) = (millivolt)
+	(S) = (siemens)
+}
+
+PARAMETER {
+	gbar = .015			(S/cm2)
+
+	: kinetic parameters
+	Con = 0.01			(/ms)					: closed -> inactivated transitions
+	Coff = 40				(/ms)					: inactivated -> closed transitions
+	Oon = 8					(/ms)					: open -> Ineg transition
+	Ooff = 0.05			(/ms)					: Ineg -> open transition
+	alpha = 400			(/ms)
+	beta = 12				(/ms)
+	gamma = 250			(/ms)					: opening
+	delta = 60			(/ms)					: closing
+
+	alfac = 2.51
+	btfac = 5.32
+
+	: Vdep
+	x1 = 24				(mV)								: Vdep of activation (alpha)
+	x2 = -24			(mV)								: Vdep of deactivation (beta)
+}
+
+ASSIGNED {
+
+	: rates
+	f01  		(/ms)
+	f02  		(/ms)
+	f03 		(/ms)
+	f04			(/ms)
+	f0O 		(/ms)
+	f11 		(/ms)
+	f12 		(/ms)
+	f13 		(/ms)
+	f14 		(/ms)
+	f1n 		(/ms)
+	fi1 		(/ms)
+	fi2 		(/ms)
+	fi3 		(/ms)
+	fi4 		(/ms)
+	fi5 		(/ms)
+	fin 		(/ms)
+
+	b01 		(/ms)
+	b02 		(/ms)
+	b03 		(/ms)
+	b04			(/ms)
+	b0O 		(/ms)
+	b11  		(/ms)
+	b12 		(/ms)
+	b13 		(/ms)
+	b14 		(/ms)
+	b1n 		(/ms)
+	bi1 		(/ms)
+	bi2 		(/ms)
+	bi3 		(/ms)
+	bi4 		(/ms)
+	bi5 		(/ms)
+	bin 		(/ms)
+	
+	v				(mV)
+ 	ena			(mV)
+	ina			(milliamp/cm2)
+	g				(S/cm2)
+	celsius (degC)
+}
+
+STATE {
+	C1 FROM 0 TO 1
+	C2 FROM 0 TO 1
+	C3 FROM 0 TO 1
+	C4 FROM 0 TO 1
+	C5 FROM 0 TO 1
+	I1 FROM 0 TO 1
+	I2 FROM 0 TO 1
+	I3 FROM 0 TO 1
+	I4 FROM 0 TO 1
+	I5 FROM 0 TO 1
+	O FROM 0 TO 1
+	I6 FROM 0 TO 1
+}
+
+BREAKPOINT {
+	SOLVE activation METHOD sparse
+	g = gbar * O
+	ina = g * (v - ena)
+}
+
+INITIAL {
+ rates(v)
+ SOLVE seqinitial
+}
+
+KINETIC activation
+{
+	rates(v)
+	~ C1 <-> C2					(f01,b01)
+	~ C2 <-> C3					(f02,b02)
+	~ C3 <-> C4					(f03,b03)
+	~ C4 <-> C5					(f04,b04)
+	~ C5 <-> O					(f0O,b0O)
+	~ O <-> I6					(fin,bin)
+	~ I1 <-> I2					(f11,b11)
+	~ I2 <-> I3					(f12,b12)
+	~ I3 <-> I4					(f13,b13)
+	~ I4 <-> I5					(f14,b14)
+	~ I5 <-> I6					(f1n,b1n)
+	~ C1 <-> I1					(fi1,bi1)
+	~ C2 <-> I2					(fi2,bi2)
+	~ C3 <-> I3					(fi3,bi3)
+ 	~ C4 <-> I4					(fi4,bi4)
+ 	~ C5 <-> I5					(fi5,bi5)
+
+	CONSERVE C1 + C2 + C3 + C4 + C5 + O + I1 + I2 + I3 + I4 + I5 + I6 = 1
+}
+
+LINEAR seqinitial { : sets initial equilibrium
+	~          I1*bi1 + C2*b01 - C1*(    fi1+f01) = 0
+	~ C1*f01 + I2*bi2 + C3*b02 - C2*(b01+fi2+f02) = 0
+	~ C2*f02 + I3*bi3 + C4*b03 - C3*(b02+fi3+f03) = 0
+	~ C3*f03 + I4*bi4 + C5*b04 - C4*(b03+fi4+f04) = 0
+	~ C4*f04 + I5*bi5 + O*b0O  - C5*(b04+fi5+f0O) = 0
+	~ C5*f0O + I6*bin          - O*(b0O+fin)      = 0
+
+	~          C1*fi1 + I2*b11 - I1*(    bi1+f11) = 0
+	~ I1*f11 + C2*fi2 + I3*b12 - I2*(b11+bi2+f12) = 0
+	~ I2*f12 + C3*fi3 + I4*bi3 - I3*(b12+bi3+f13) = 0
+	~ I3*f13 + C4*fi4 + I5*b14 - I4*(b13+bi4+f14) = 0
+	~ I4*f14 + C5*fi5 + I6*b1n - I5*(b14+bi5+f1n) = 0
+	
+	~ C1 + C2 + C3 + C4 + C5 + O + I1 + I2 + I3 + I4 + I5 + I6 = 1
+}
+
+PROCEDURE rates(v(mV) )
+{
+  LOCAL qt
+  qt = 2.3^((celsius-37)/10)
+
+	f01 = qt * 4 * alpha * exp(v/x1)
+	f02 = qt * 3 * alpha * exp(v/x1)
+	f03 = qt * 2 * alpha * exp(v/x1)
+	f04 = qt * 1 * alpha * exp(v/x1)
+	f0O = qt * gamma
+	f11 = qt * 4 * alpha * alfac * exp(v/x1)
+	f12 = qt * 3 * alpha * alfac * exp(v/x1)
+	f13 = qt * 2 * alpha * alfac * exp(v/x1)
+	f14 = qt * 1 * alpha * alfac * exp(v/x1)
+	f1n = qt * gamma
+	fi1 = qt * Con
+	fi2 = qt * Con * alfac
+	fi3 = qt * Con * alfac^2
+	fi4 = qt * Con * alfac^3
+	fi5 = qt * Con * alfac^4
+	fin = qt * Oon
+
+	b01 = qt * 1 * beta * exp(v/x2)
+	b02 = qt * 2 * beta * exp(v/x2)
+	b03 = qt * 3 * beta * exp(v/x2)
+	b04 = qt * 4 * beta * exp(v/x2)
+	b0O = qt * delta
+	b11 = qt * 1 * beta * exp(v/x2) / btfac
+	b12 = qt * 2 * beta * exp(v/x2) / btfac
+	b13 = qt * 3 * beta * exp(v/x2) / btfac
+	b14 = qt * 4 * beta * exp(v/x2) / btfac
+	b1n = qt * delta
+	bi1 = qt * Coff
+	bi2 = qt * Coff / (btfac)
+	bi3 = qt * Coff / (btfac^2)
+	bi4 = qt * Coff / (btfac^3)
+	bi5 = qt * Coff / (btfac^4)
+	bin = qt * Ooff
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Nap.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Nap.mod
new file mode 100644
index 00000000..245fce35
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Nap.mod
@@ -0,0 +1,85 @@
+:Comment : mtau deduced from text (said to be 6 times faster than for NaTa)
+:Comment : so I used the equations from NaT and multiplied by 6
+:Reference : Modeled according to kinetics derived from Magistretti & Alonso 1999
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Nap
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+
+	UNITSOFF
+		mInf = 1.0/(1+exp((v- -52.6)/-4.6))
+    if(v == -38){
+    	v = v+0.0001
+    }
+		mAlpha = (0.182 * (v- -38))/(1-(exp(-(v- -38)/6)))
+		mBeta  = (0.124 * (-v -38))/(1-(exp(-(-v -38)/6)))
+		mTau = 6*(1/(mAlpha + mBeta))/qt
+
+  	if(v == -17){
+   		v = v + 0.0001
+  	}
+    if(v == -64.4){
+      v = v+0.0001
+    }
+
+		hInf = 1.0/(1+exp((v- -48.8)/10))
+    hAlpha = -2.88e-6 * (v + 17) / (1 - exp((v + 17)/4.63))
+    hBeta = 6.94e-6 * (v + 64.4) / (1 - exp(-(v + 64.4)/2.63))
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Nap_Et2.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Nap_Et2.mod
new file mode 100755
index 00000000..c0e52bb6
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Nap_Et2.mod
@@ -0,0 +1,85 @@
+:Comment : mtau deduced from text (said to be 6 times faster than for NaTa)
+:Comment : so I used the equations from NaT and multiplied by 6
+:Reference : Modeled according to kinetics derived from Magistretti & Alonso 1999
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Nap_Et2
+	USEION na READ ena WRITE ina
+	RANGE gNap_Et2bar, gNap_Et2, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gNap_Et2bar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	gNap_Et2	(S/cm2)
+	mInf
+	mTau    (ms)
+	mAlpha
+	mBeta
+	hInf
+	hTau    (ms)
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	gNap_Et2 = gNap_Et2bar*m*m*m*h
+	ina = gNap_Et2*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((34-21)/10)
+
+	UNITSOFF
+		mInf = 1.0/(1+exp((v- -52.6)/-4.6))
+    if(v == -38){
+    	v = v+0.0001
+    }
+		mAlpha = (0.182 * (v- -38))/(1-(exp(-(v- -38)/6)))
+		mBeta  = (0.124 * (-v -38))/(1-(exp(-(-v -38)/6)))
+		mTau = 6*(1/(mAlpha + mBeta))/qt
+
+  	if(v == -17){
+   		v = v + 0.0001
+  	}
+    if(v == -64.4){
+      v = v+0.0001
+    }
+
+		hInf = 1.0/(1+exp((v- -48.8)/10))
+    hAlpha = -2.88e-6 * (v + 17) / (1 - exp((v + 17)/4.63))
+    hBeta = 6.94e-6 * (v + 64.4) / (1 - exp(-(v + 64.4)/2.63))
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Nav16.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Nav16.mod
new file mode 100644
index 00000000..2fa601d1
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/Nav16.mod
@@ -0,0 +1,203 @@
+TITLE resurgent sodium channel
+
+COMMENT
+Neuron implementation of a resurgent sodium channel (with blocking particle)
+Based om updated kinetic parameters from Raman and Bean, Biophys.J. 80 (2001) 729  
+
+Modified from Khaliq et al., J.Neurosci. 23(2003)4899
+by qt-correction of all rate constants 
+
+Laboratory for Neuronal Circuit Dynamics
+RIKEN Brain Science Institute, Wako City, Japan
+http://www.neurodynamics.brain.riken.jp
+
+Reference: Akemann and Knoepfel, J.Neurosci. 26 (2006) 4602
+Date of Implementation: May 2005
+Contact: akemann@brain.riken.jp
+
+Suffix from Narsg to Nav1_6
+
+ENDCOMMENT
+
+NEURON {
+  SUFFIX Nav1_6
+  USEION na READ ena WRITE ina
+  RANGE g, gbar, ina, f0O, fin, fip
+
+}
+
+UNITS { 
+	(mV) = (millivolt)
+	(S) = (siemens)
+}
+
+CONSTANT {
+	q10 = 3
+}
+
+PARAMETER {
+	gbar = 0.016 (S/cm2)
+	celsius (degC)
+
+	: kinetic parameters
+	Con = 0.005			(/ms)					: closed -> inactivated transitions
+	Coff = 0.5			(/ms)					: inactivated -> closed transitions
+	Oon = 0.75			(/ms)					: open -> Ineg transition
+	Ooff = 0.005		(/ms)					: Ineg -> open transition
+	alpha = 150			(/ms)					: activation
+	beta = 3			(/ms)					: deactivation
+	gamma = 150			(/ms)					: opening
+	delta = 40			(/ms)					: closing, greater than BEAN/KUO = 0.2
+	epsilon = 1.75		(/ms)					: open -> Iplus for tau = 0.3 ms at +30 with x5
+	zeta = 0.03			(/ms)					: Iplus -> open for tau = 25 ms at -30 with x6
+
+	: Vdep
+	x1 = 20				(mV)								: Vdep of activation (alpha)
+	x2 = -20			(mV)								: Vdep of deactivation (beta)
+	x3 = 1e12			(mV)								: Vdep of opening (gamma)
+	x4 = -1e12			(mV)								: Vdep of closing (delta)
+	x5 = 1e12			(mV)								: Vdep into Ipos (epsilon)
+	x6 = -25			(mV)								: Vdep out of Ipos (zeta)
+}
+
+ASSIGNED {
+	alfac   				: microscopic reversibility factors
+	btfac				
+
+	: rates
+	f01  		(/ms)
+	f02  		(/ms)
+	f03 		(/ms)
+	f04			(/ms)
+	f0O 		(/ms)
+	fip 		(/ms)
+	f11 		(/ms)
+	f12 		(/ms)
+	f13 		(/ms)
+	f14 		(/ms)
+	f1n 		(/ms)
+	fi1 		(/ms)
+	fi2 		(/ms)
+	fi3 		(/ms)
+	fi4 		(/ms)
+	fi5 		(/ms)
+	fin 		(/ms)
+
+	b01 		(/ms)
+	b02 		(/ms)
+	b03 		(/ms)
+	b04		(/ms)
+	b0O 		(/ms)
+	bip 		(/ms)
+	b11  		(/ms)
+	b12 		(/ms)
+	b13 		(/ms)
+	b14 		(/ms)
+	b1n 		(/ms)
+	bi1 		(/ms)
+	bi2 		(/ms)
+	bi3 		(/ms)
+	bi4 		(/ms)
+	bi5 		(/ms)
+	bin 		(/ms)
+	
+	v					(mV)
+ 	ena					(mV)
+	ina 					(milliamp/cm2)
+	g					(S/cm2)
+	qt
+}
+
+STATE {
+	C1 FROM 0 TO 1
+	C2 FROM 0 TO 1
+	C3 FROM 0 TO 1
+	C4 FROM 0 TO 1
+	C5 FROM 0 TO 1
+	I1 FROM 0 TO 1
+	I2 FROM 0 TO 1
+	I3 FROM 0 TO 1
+	I4 FROM 0 TO 1
+	I5 FROM 0 TO 1
+	O FROM 0 TO 1
+	B FROM 0 TO 1
+	I6 FROM 0 TO 1
+}
+
+BREAKPOINT {
+	SOLVE activation METHOD sparse
+ 	g = gbar * O
+ 	ina = g * (v - ena)
+}
+
+INITIAL {
+	qt = q10^((celsius-22 (degC))/10 (degC))
+	rates(v)
+}
+
+KINETIC activation
+{
+	rates(v)
+	~ C1 <-> C2					(f01,b01)
+	~ C2 <-> C3					(f02,b02)
+	~ C3 <-> C4					(f03,b03)
+	~ C4 <-> C5					(f04,b04)
+	~ C5 <-> O					(f0O,b0O)
+	~ O <-> B					(fip,bip)
+	~ O <-> I6					(fin,bin)
+	~ I1 <-> I2					(f11,b11)
+	~ I2 <-> I3					(f12,b12)
+	~ I3 <-> I4					(f13,b13)
+	~ I4 <-> I5					(f14,b14)
+	~ I5 <-> I6					(f1n,b1n)
+	~ C1 <-> I1					(fi1,bi1)
+	~ C2 <-> I2					(fi2,bi2)
+	~ C3 <-> I3					(fi3,bi3)
+ 	~ C4 <-> I4					(fi4,bi4)
+ 	~ C5 <-> I5					(fi5,bi5)
+
+CONSERVE C1 + C2 + C3 + C4 + C5 + O + B + I1 + I2 + I3 + I4 + I5 + I6 = 1
+}
+
+
+PROCEDURE rates(v(mV) )
+{
+ alfac = (Oon/Con)^(1/4)
+ btfac = (Ooff/Coff)^(1/4) 
+ f01 = 4 * alpha * exp(v/x1) * qt
+ f02 = 3 * alpha * exp(v/x1) * qt
+ f03 = 2 * alpha * exp(v/x1) * qt
+ f04 = 1 * alpha * exp(v/x1) * qt
+ f0O = gamma * exp(v/x3) * qt
+ fip = epsilon * exp(v/x5) * qt
+ f11 = 4 * alpha * alfac * exp(v/x1) * qt
+ f12 = 3 * alpha * alfac * exp(v/x1) * qt
+ f13 = 2 * alpha * alfac * exp(v/x1) * qt
+ f14 = 1 * alpha * alfac * exp(v/x1) * qt
+ f1n = gamma * exp(v/x3) * qt
+ fi1 = Con * qt
+ fi2 = Con * alfac * qt
+ fi3 = Con * alfac^2 * qt
+ fi4 = Con * alfac^3 * qt
+ fi5 = Con * alfac^4 * qt
+ fin = Oon * qt
+
+ b01 = 1 * beta * exp(v/x2) * qt
+ b02 = 2 * beta * exp(v/x2) * qt
+ b03 = 3 * beta * exp(v/x2) * qt
+ b04 = 4 * beta * exp(v/x2) * qt
+ b0O = delta * exp(v/x4) * qt
+ bip = zeta * exp(v/x6) * qt
+ b11 = 1 * beta * btfac * exp(v/x2) * qt
+ b12 = 2 * beta * btfac * exp(v/x2) * qt
+ b13 = 3 * beta * btfac * exp(v/x2) * qt
+ b14 = 4 * beta * btfac * exp(v/x2) * qt
+ b1n = delta * exp(v/x4) * qt
+ bi1 = Coff * qt
+ bi2 = Coff * btfac * qt
+ bi3 = Coff * btfac^2 * qt
+ bi4 = Coff * btfac^3 * qt
+ bi5 = Coff * btfac^4 * qt
+ bin = Ooff * qt
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/PC_Gaba_det_vi_alfa1.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/PC_Gaba_det_vi_alfa1.mod
new file mode 100644
index 00000000..9a413049
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/PC_Gaba_det_vi_alfa1.mod
@@ -0,0 +1,307 @@
+TITLE Gaba mod file only for fitting purpose 
+
+COMMENT
+Thierry Nieus, unpublished results, please keep reserved.
+Variables with suffix "_s" are meant for single IPSC fit, with suffix "_2" for CGP experimental condition
+	Does not work with variable dt!
+ENDCOMMENT
+
+
+
+NEURON {
+	POINT_PROCESS PC_gaba_alpha1
+	 
+	NONSPECIFIC_CURRENT i
+	RANGE Q10_diff,Q10_channel
+	RANGE g, ic ,Cdur ,Tmax, Erev
+	RANGE Open
+
+	RANGE kon,koff,d3,r3,d1d2,r1r2,a1,b1,a2,b2,r1,r2,d1,d2
+
+	RANGE gmaxA1,onSET	
+	RANGE gA1
+
+	RANGE xout,yout,zout,uout	
+	
+	RANGE tau_1,tau_rec,tau_facil,U,T,U_2 
+	RANGE diff_flag,diff_flag2,M,Rd,Diff,lamd
+	RANGE nd,diffus ,Trelease, gmax_factor, syntype 
+	RANGE C, CA1, CA2, DA1, DA2, DA2f, OA1, OA2	
+}
+
+UNITS {
+	(nA) 	= (nanoamp)
+	(mV) 	= (millivolt)
+	(umho)  = (micromho)
+	(mM) 	= (milli/liter)
+	(pS) 	= (picosiemens)
+	PI   	= (pi)(1)
+    }
+    
+    
+    
+    PARAMETER {
+	syntype
+	gmax_factor = 1
+	: Parametri Postsinaptici
+	gmaxA1	= 918.807	(pS)	
+	Q10_diff	= 1.5
+	Q10_channel	= 2.4
+	Cdur	= 0.3		(ms)	
+
+	: A1 kinetic rates EC50=(around) 20 uM, U=0.35
+	kon	= 20		(/ms/mM)	: 20
+	koff	= 2		(/ms) 		 
+	d3	= 15		(/ms) 	: 15	 
+	r3	= 0.15		(/ms) 	: 0.15, use 3.75 for slices in the PR model
+	d1d2	= 15		(/ms/mM) : 15	
+	r1r2	= 0.007		(/ms)	: 0.007
+	a1	= 0.06		(/ms)	: 0.06
+	b1	= 0.03		(/ms)
+	a2	= 0.4		(/ms)	: 0.4
+	b2	= 10		(/ms)	
+	r1	= 7e-4		(/ms)
+	r2	= 6e-3		(/ms)	: 6e-3
+	d1	= 3.3e-4	(/ms)
+	d2	= 1.2		(/ms)	: 1.2
+	
+	Erev	= -60		(mV)
+
+	: Parametri Presinaptici
+	tau_1 	= 0.1 		(ms) 	< 1e-9, 1e9 >
+	tau_rec = 36.169 	(ms) 	< 1e-9, 1e9 > 	:43.4
+	tau_facil = 58.517	(ms) 	< 0, 1e9 >	: 6.22 
+	U 	= 0.35			< 0, 1 >
+	 
+	
+	Tmax	= 1  		(mM)	
+	onSET	= 1
+	 
+		
+	: Diffusion parameters
+	: Diffusion: M=21.500, R=1.033, D=0.223, lamd=0.02 as in excitatory synapses	
+
+	M	= 7.506	: numero di (kilo) molecole in una vescicola	(52.76)	
+	Rd	= 0.978 (um)	:4.79	:4.96	: 4.96 (first fit!)
+	Diff	= 0.223 (um2/ms)
+
+	lamd	= 20 		(nm)
+	diff_flag	= 1			: flag diffusion on/off
+	 
+	nd		= 1			: kernel exponent of diffusion
+
+	 
+	celsius (degC)
+}
+
+
+ASSIGNED {
+	v		(mV)		: postsynaptic voltage
+	i 		(nA)		: current = g*(v - Erev)
+	ic 		(nA)		: current = g*(v - Erev)
+	g 		(pS)		: conductance
+	gA1		(nA)
+	
+	Open
+	diffus	
+ 
+	T		(mM)	
+	 
+	Trelease	(mM)
+	 	
+	Mres		(mM)	
+	tpre		(ms)
+
+	xout
+	yout
+	zout
+	uout
+	
+	tspike[100]	(ms)	: will be initialized by the pointprocess
+	PRE[100]
+	:PRE_2[500]
+	numpulses
+	tzero
+	gbar_Q10 (mho/cm2)
+	Q10 (1)
+}
+
+STATE {	
+	: CTRL - A1
+	C
+	CA1
+	CA2
+	DA1
+	DA2
+	DA2f
+	OA1
+	OA2	
+ 
+}
+
+INITIAL {
+	: CTRL - A1
+	C=1
+	CA1=0
+	CA2=0
+	DA1=0
+	DA2=0
+	DA2f=0
+	OA1=0  	
+	OA2=0
+
+ 
+	Open=0
+	  
+	T=0 		(mM)
+	
+	gbar_Q10 = Q10_diff^((celsius-30)/10)
+	Q10 = Q10_channel^((celsius-30)/10)
+ 
+	numpulses=0
+	Mres=1e3* (1e3 * 1e15 / 6.022e23 * M)     : (M) to (mM) so 1e3, 1um^3=1dm^3*1e-15 so 1e15
+	FROM i=1 TO 100 { PRE[i-1]=0 tspike[i-1]=0 } :PRE_2[500]=0}
+	tspike[0]=1e12	(ms)
+	if(tau_1>=tau_rec){ 
+		printf("Warning: tau_1 (%g) should never be higher neither equal to tau_rec (%g)!\n",tau_1,tau_rec)
+		tau_rec=tau_1+1e-5
+		:printf("tau_rec has been set to %g\n",tau_rec) 
+	} 
+	onSET	= 1
+	 
+}
+	FUNCTION imax(a,b) {
+	    if (a>b) { imax=a }
+	    else { imax=b }
+	}
+	
+FUNCTION diffusione(){	 
+	LOCAL DifWave,i,cntc,fi,aaa
+	DifWave=0
+	cntc=imax(numpulses-100,0)
+	FROM i=cntc  TO numpulses{
+	    fi=fmod(i,100)
+	    tzero=tspike[fi]
+		if(t>tzero){
+		    aaa = (-Rd*Rd/(4*Diff*(t-tzero)))
+		    if(fabs(aaa)<699){
+			DifWave=DifWave+PRE[fi]*Mres*exp(aaa)/((4*PI*Diff*(1e-3)*lamd)*(t-tzero)) : ^nd nd =1
+		    }else{
+			if(aaa>0){
+			    DifWave=DifWave+PRE[fi]*Mres*exp(699)/((4*PI*Diff*(1e-3)*lamd)*(t-tzero)) : ^nd nd =1
+			}else{
+			    DifWave=DifWave+PRE[fi]*Mres*exp(-699)/((4*PI*Diff*(1e-3)*lamd)*(t-tzero)) : ^nd nd =1
+			}
+		    }
+		}
+	}	
+	diffusione=DifWave
+}
+
+
+
+BREAKPOINT {
+	SOLVE kstates METHOD sparse
+	
+	Open=OA1+OA2
+	
+	gA1 = gmaxA1 * gbar_Q10 * Open
+	
+	g = gA1 * gmax_factor
+	
+	i = (1e-6) * g * ( v - Erev )
+	ic = i
+}
+
+KINETIC kstates {
+
+	: ************
+	: *** CTRL ***	
+	: ************
+	
+
+	diffus=diffusione() 	
+	Trelease = T :+ diffus
+	
+	:	***	ALFA 1 *** 
+	
+	: second row
+	~	C  	<-> 	CA1	(2*kon*Trelease*Q10,koff*Q10)
+	~	CA1 	<-> 	CA2	(kon*Trelease*Q10,2*koff*Q10)
+	~	CA2	<->	DA2f	(d3*Q10,r3*Q10)
+	: third row
+	~ 	DA1  	<-> 	DA2	(d1d2*Trelease*Q10,r1r2*Q10)
+	: first <=> second row
+	~ 	OA1  	<-> 	CA1	(a1*Q10,b1*Q10)
+	~ 	OA2  	<-> 	CA2	(a2*Q10,b2*Q10)
+	: third <=> second row
+	~	DA1	<->	CA1	(r1*Q10,d1*Q10)
+	~	DA2	<->	CA2	(r2*Q10,d2*Q10)	
+	CONSERVE C+CA1+CA2+DA1+DA2+DA2f+OA1+OA2=1
+	
+}
+
+
+NET_RECEIVE(weight,on, nspike,tzero (ms),x,y,z,u, tsyn (ms)) {LOCAL fi
+	INITIAL {
+		x = 0
+		y = 0
+		z = 0
+		u = 0 
+		 		
+		xout=x
+		yout=y
+		zout=z
+		uout=u
+		tsyn = t
+		nspike = 1
+	}
+
+	if(onSET){
+		on=0 
+		onSET=0
+		 
+	}
+	
+	if (flag == 0) { 
+		: Qui faccio rientrare la modulazione presinaptica
+		nspike = nspike + 1
+		:printf("T = %g (mM)\n",Trelease)
+		if (!on) {
+			tzero = t	
+			tpre=t	: activates diffusion
+			on = 1		
+					
+			z = z*exp(-(t - tsyn)/tau_rec)		
+			z = z + ( y*(exp(-(t - tsyn)/tau_1) - exp(-(t - tsyn)/tau_rec)) / ((tau_1/tau_rec)-1) )
+			y = y*exp(-(t - tsyn)/tau_1)			
+			x = 1-y-z			
+			if (tau_facil > 0) { 
+				u = u*exp(-(t - tsyn)/tau_facil)
+				u = u + U * ( 1 - u )							
+			} else { u = U }
+			y = y + x * u
+			T=Tmax*y
+
+			 
+				
+			fi=fmod(numpulses,100)
+			PRE[fi]=y	: PRE[numpulses]=y
+			 
+			tspike[fi] = t
+			numpulses=numpulses+1
+
+			 
+
+			tsyn = t			
+		}
+		net_send(Cdur, nspike)
+		 
+	}
+
+	if (flag == nspike) { 
+		T = 0
+		 
+		on = 0
+	}
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/PURKINJE_Ampa_det_vi.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/PURKINJE_Ampa_det_vi.mod
new file mode 100644
index 00000000..ff3ba55e
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/PURKINJE_Ampa_det_vi.mod
@@ -0,0 +1,234 @@
+TITLE 
+
+COMMENT
+ENDCOMMENT
+
+NEURON {
+	POINT_PROCESS PF_syn
+	NONSPECIFIC_CURRENT i
+	RANGE Q10_diff,Q10_channel
+	RANGE R, g, ic
+	RANGE Cdur, Erev 
+	RANGE r1FIX, r2, r3,r4,r5,gmax,r1,r6,r6FIX,kB
+	RANGE tau_1, tau_rec, tau_facil, U	 
+	RANGE PRE,T,Tmax,x
+	RANGE y_read,z_read,u_read
+	RANGE C,O,D
+		
+	RANGE diffuse,Trelease,lamd
+	RANGE M,Diff,Rd
+	
+	RANGE tspike
+	RANGE nd, syntype, gmax_factor
+}
+
+UNITS {
+	(nA) = (nanoamp)	
+	(mV) = (millivolt)
+	(umho) = (micromho)
+	(mM) = (milli/liter)
+	(pS) = (picosiemens)
+	(nS) = (nanosiemens)
+	(um) = (micrometer)
+	PI	= (pi)		(1)
+    }
+    
+    PARAMETER {
+	syntype
+	gmax_factor = 1
+	Q10_diff	= 1.1
+	Q10_channel	= 2.4
+	: Parametri Postsinaptici
+	gmax		= 1200   (pS)	
+
+	U 			= 0.13 (1) 	< 0, 1 >
+	tau_rec 	= 35.1 (ms) 	< 1e-9, 1e9 > 	 
+	tau_facil 	= 54 (ms) 	< 0, 1e9 > 	
+
+	M			= 21.515	: numero di (kilo) molecole in una vescicola		
+	Rd			= 1.03 (um)
+	Diff		= 0.223 (um2/ms)
+		 
+	Cdur		= 0.3	(ms)		 
+	r1FIX		= 5.4 : 1.66	(/ms/mM) 
+	r2			= 0.82 : 0.137	(/ms)			 
+	r3			= 0		(/ms)		 
+	r4			= 0		(/ms)		 
+	r5			= 0.013 : 0.013	(/ms)			 
+	r6FIX		= 1.12 : 0.237	(/ms/mM)		 
+	Erev		= 0	(mV)
+	kB			= 0.44	(mM)
+
+	: Parametri Presinaptici
+	tau_1 		= 6 (ms) 	< 1e-9, 1e9 >
+	 
+
+	
+	u0 			= 0 (1) 	< 0, 1 >	: se u0=0 al primo colpo y=U
+	Tmax		= 1  (mM)	
+	
+	: Diffusion			
+	diffuse		= 0
+	
+	lamd		= 20 (nm)
+	nd			= 1
+	celsius (degC)
+}
+
+
+ASSIGNED {
+	v		(mV)		: postsynaptic voltage
+	i 		(nA)		: current = g*(v - Erev)
+	ic 		(nA)		: current = g*(v - Erev)
+	g 		(pS)		: conductance
+	r1		(/ms)
+	r6		(/ms)
+	T		(mM)
+
+	Trelease	(mM)
+	tspike[800]	(ms)
+	x 
+	y_read
+	z_read
+	u_read
+	tsyn		(ms)
+	PRE[800]
+	
+	Mres		(mM)	
+	numpulses
+	tzero
+	gbar_Q10 (mho/cm2)
+	Q10 (1)
+}
+
+STATE {	
+	C
+	O
+	D
+}
+
+INITIAL {
+	C=1
+	O=0
+	D=0
+	T=0 (mM)
+	numpulses=0
+	Trelease=0 (mM)
+	tspike[0]=1e12	(ms)
+	 
+	gbar_Q10 = Q10_diff^((celsius-30)/10)
+	Q10 = Q10_channel^((celsius-30)/10)
+
+	: fattore di conversione che comprende molecole -> mM
+	: n molecole/(Na*V) -> M/(6.022e23*1dm^3)
+
+	Mres = 1e3 * ( 1e3 * 1e15 / 6.022e23 * M ) : (M) to (mM) so 1e3, 1um^3=1dm^3*1e-15 so 1e15	
+	numpulses=0
+
+	FROM i=1 TO 800 { PRE[i-1]=0 tspike[i-1]=0 }  
+	tspike[0]=1e12	(ms)
+	if(tau_1>=tau_rec){ 
+		printf("Warning: tau_1 (%g) should never be higher neither equal to tau_rec (%g)!\n",tau_1,tau_rec)
+		tau_rec=tau_1+1e-5
+	    } 
+	}
+		
+	FUNCTION imax(a,b) {
+	    if (a>b) { imax=a }
+	    else { imax=b }
+	}
+	
+FUNCTION diffusione(){	 
+	LOCAL DifWave,i,cntc,fi
+	DifWave=0
+	cntc=imax(numpulses-5,0)
+	FROM i=cntc  TO numpulses{
+	    :printf ("%g %g  ",numpulses,fmod(numpulses,10))
+	    fi=fmod(i,800)
+	    :printf ("%g %g %g __ ",i,numpulses,fi)
+	    tzero=tspike[fi]
+		if(t>tzero){
+			DifWave=DifWave+PRE[fi]*Mres*exp(-Rd*Rd/(4*Diff*(t-tzero)))/((4*PI*Diff*(1e-3)*lamd)*(t-tzero))^nd
+		    }
+		}	
+		:printf("\n\n")
+	diffusione=DifWave
+}
+
+BREAKPOINT {
+
+	if ( diffuse && (t>tspike[0]) ) { Trelease= T + diffusione() } else { Trelease=T }
+
+	SOLVE kstates METHOD sparse
+	g = gmax * gbar_Q10 * O
+	i = (1e-6) * g * (v - Erev) * gmax_factor
+	ic = i
+}
+
+KINETIC kstates {
+	r1 = r1FIX * Trelease^2 / (Trelease + kB)^2
+	r6 = r6FIX * Trelease^2 / (Trelease + kB)^2
+	~ C  <-> O	(r1*Q10,r2*Q10)
+	:~ O  <-> D	(r3*Q10,r4*Q10) 
+	~ D  <-> C	(r5*Q10,r6*Q10)
+	CONSERVE C+O+D = 1
+}
+
+
+NET_RECEIVE(weight, on, nspike, tzero (ms),y, z, u, tsyn (ms)) {LOCAL fi
+
+: *********** ATTENZIONE! ***********
+:
+: Qualora si vogliano utilizzare impulsi di glutammato saturanti e'
+: necessario che il pulse sia piu' corto dell'intera simulazione
+: altrimenti la variabile on non torna al suo valore di default.
+
+INITIAL {
+	y = 0
+	z = 0
+	u = u0
+	tsyn = t
+	nspike = 1
+}
+   if (flag == 0) { 
+		: Qui faccio rientrare la modulazione presinaptica
+		nspike = nspike + 1
+		if (!on) {
+			tzero = t
+			on = 1				
+			z = z*exp( - (t - tsyn) / (tau_rec) )	 
+			z = z + ( y*(exp(-(t - tsyn)/tau_1) - exp(-(t - tsyn)/(tau_rec)))/((tau_1/(tau_rec))-1) )  
+			y = y*exp(-(t - tsyn)/tau_1)			
+			x = 1-y-z
+				
+			if (tau_facil > 0) { 
+				u = u*exp(-(t - tsyn)/tau_facil)
+				u = u + U * (1+30*u) * (exp(-5*u)- exp(-5))
+			} else { u = U }
+			
+			y = y + x * u
+			
+			T=Tmax*y
+			fi=fmod(numpulses,800)
+			PRE[fi]=y	: PRE[numpulses]=y
+			y_read = y
+			z_read = z
+			u_read = u
+			:PRE=1	: Istruzione non necessaria ma se ommesso allora le copie dell'oggetto successive alla prima non funzionano!
+			:}
+			: all'inizio numpulses=0 !			
+			
+			tspike[fi] = t
+			numpulses=numpulses+1
+			tsyn = t
+			
+		}
+		net_send(Cdur, nspike)	 
+    }
+    if (flag == nspike) { 
+		tzero = t
+		T = 0
+		on = 0
+    }
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/ProbAMPANMDA2.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/ProbAMPANMDA2.mod
new file mode 100644
index 00000000..8d88b75c
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/ProbAMPANMDA2.mod
@@ -0,0 +1,204 @@
+TITLE AMPA and NMDA receptor with presynaptic short-term plasticity 
+
+
+COMMENT
+AMPA and NMDA receptor conductance using a dual-exponential profile
+presynaptic short-term plasticity based on Fuhrmann et al. 2002
+Implemented by Srikanth Ramaswamy, Blue Brain Project, July 2009
+Etay: changed weight to be equal for NMDA and AMPA, gmax accessible in Neuron
+
+ENDCOMMENT
+
+
+NEURON {
+
+        POINT_PROCESS ProbAMPANMDA2  
+        RANGE tau_r_AMPA, tau_d_AMPA, tau_r_NMDA, tau_d_NMDA
+        RANGE Use, u, Dep, Fac, u0, weight_NMDA
+        RANGE i, i_AMPA, i_NMDA, g_AMPA, g_NMDA, e, gmax
+        NONSPECIFIC_CURRENT i, i_AMPA,i_NMDA
+	POINTER rng
+}
+
+PARAMETER {
+
+        tau_r_AMPA = 0.2   (ms)  : dual-exponential conductance profile
+        tau_d_AMPA = 1.7    (ms)  : IMPORTANT: tau_r < tau_d
+	tau_r_NMDA = 0.29   (ms) : dual-exponential conductance profile
+        tau_d_NMDA = 43     (ms) : IMPORTANT: tau_r < tau_d
+        Use = 1.0   (1)   : Utilization of synaptic efficacy (just initial values! Use, Dep and Fac are overwritten by BlueBuilder assigned values) 
+        Dep = 100   (ms)  : relaxation time constant from depression
+        Fac = 10   (ms)  :  relaxation time constant from facilitation
+        e = 0     (mV)  : AMPA and NMDA reversal potential
+	mg = 1   (mM)  : initial concentration of mg2+
+        mggate
+    	gmax = .001 (uS) : weight conversion factor (from nS to uS)
+    	u0 = 0 :initial value of u, which is the running value of Use
+}
+
+COMMENT
+The Verbatim block is needed to generate random nos. from a uniform distribution between 0 and 1 
+for comparison with Pr to decide whether to activate the synapse or not
+ENDCOMMENT
+   
+VERBATIM
+
+#include<stdlib.h>
+#include<stdio.h>
+#include<math.h>
+
+double nrn_random_pick(void* r);
+void* nrn_random_arg(int argpos);
+
+ENDVERBATIM
+  
+
+ASSIGNED {
+
+        v (mV)
+        i (nA)
+	i_AMPA (nA)
+	i_NMDA (nA)
+        g_AMPA (uS)
+	g_NMDA (uS)
+        factor_AMPA
+	factor_NMDA
+	rng
+	weight_NMDA
+}
+
+STATE {
+
+        A_AMPA       : AMPA state variable to construct the dual-exponential profile - decays with conductance tau_r_AMPA
+        B_AMPA       : AMPA state variable to construct the dual-exponential profile - decays with conductance tau_d_AMPA
+	A_NMDA       : NMDA state variable to construct the dual-exponential profile - decays with conductance tau_r_NMDA
+        B_NMDA       : NMDA state variable to construct the dual-exponential profile - decays with conductance tau_d_NMDA
+}
+
+INITIAL{
+
+        LOCAL tp_AMPA, tp_NMDA
+        
+	A_AMPA = 0
+        B_AMPA = 0
+	
+	A_NMDA = 0
+	B_NMDA = 0
+        
+	tp_AMPA = (tau_r_AMPA*tau_d_AMPA)/(tau_d_AMPA-tau_r_AMPA)*log(tau_d_AMPA/tau_r_AMPA) :time to peak of the conductance
+	tp_NMDA = (tau_r_NMDA*tau_d_NMDA)/(tau_d_NMDA-tau_r_NMDA)*log(tau_d_NMDA/tau_r_NMDA) :time to peak of the conductance
+        
+	factor_AMPA = -exp(-tp_AMPA/tau_r_AMPA)+exp(-tp_AMPA/tau_d_AMPA) :AMPA Normalization factor - so that when t = tp_AMPA, gsyn = gpeak
+        factor_AMPA = 1/factor_AMPA
+	
+	factor_NMDA = -exp(-tp_NMDA/tau_r_NMDA)+exp(-tp_NMDA/tau_d_NMDA) :NMDA Normalization factor - so that when t = tp_NMDA, gsyn = gpeak
+        factor_NMDA = 1/factor_NMDA
+   
+}
+
+BREAKPOINT {
+
+        SOLVE state METHOD cnexp
+	mggate = 1 / (1 + exp(0.062 (/mV) * -(v)) * (mg / 3.57 (mM))) :mggate kinetics - Jahr & Stevens 1990
+        g_AMPA = gmax*(B_AMPA-A_AMPA) :compute time varying conductance as the difference of state variables B_AMPA and A_AMPA
+	g_NMDA = gmax*(B_NMDA-A_NMDA) * mggate :compute time varying conductance as the difference of state variables B_NMDA and A_NMDA and mggate kinetics
+        i_AMPA = g_AMPA*(v-e) :compute the AMPA driving force based on the time varying conductance, membrane potential, and AMPA reversal
+	i_NMDA = g_NMDA*(v-e) :compute the NMDA driving force based on the time varying conductance, membrane potential, and NMDA reversal
+	i = i_AMPA + i_NMDA
+}
+
+DERIVATIVE state{
+
+        A_AMPA' = -A_AMPA/tau_r_AMPA
+        B_AMPA' = -B_AMPA/tau_d_AMPA
+	A_NMDA' = -A_NMDA/tau_r_NMDA
+        B_NMDA' = -B_NMDA/tau_d_NMDA
+}
+
+
+NET_RECEIVE (weight,weight_AMPA, weight_NMDA, Pv, Pr, u, tsyn (ms)){
+	
+	weight_AMPA = weight
+	weight_NMDA = weight
+	:printf("NMDA weight = %g\n", weight_NMDA)
+
+        INITIAL{
+                Pv=1
+                u=u0
+                tsyn=t
+            }
+
+        : calc u at event-
+        if (Fac > 0) {
+                u = u*exp(-(t - tsyn)/Fac) :update facilitation variable if Fac>0 Eq. 2 in Fuhrmann et al.
+           } else {
+                  u = Use  
+           } 
+           if(Fac > 0){
+                  u = u + Use*(1-u) :update facilitation variable if Fac>0 Eq. 2 in Fuhrmann et al.
+           }    
+
+        
+            Pv  = 1 - (1-Pv) * exp(-(t-tsyn)/Dep) :Probability Pv for a vesicle to be available for release, analogous to the pool of synaptic
+                                                 :resources available for release in the deterministic model. Eq. 3 in Fuhrmann et al.
+            Pr  = u * Pv                         :Pr is calculated as Pv * u (running value of Use)
+            Pv  = Pv - u * Pv                    :update Pv as per Eq. 3 in Fuhrmann et al.
+            :printf("Pv = %g\n", Pv)
+            :printf("Pr = %g\n", Pr)
+            tsyn = t
+                
+		   if (erand() < Pr){
+	
+                    A_AMPA = A_AMPA + weight_AMPA*factor_AMPA
+                    B_AMPA = B_AMPA + weight_AMPA*factor_AMPA
+		    A_NMDA = A_NMDA + weight_NMDA*factor_NMDA
+                    B_NMDA = B_NMDA + weight_NMDA*factor_NMDA
+
+                }
+}
+
+PROCEDURE setRNG() {
+VERBATIM
+    {
+        /**
+         * This function takes a NEURON Random object declared in hoc and makes it usable by this mod file.
+         * Note that this method is taken from Brett paper as used by netstim.hoc and netstim.mod
+         * which points out that the Random must be in negexp(1) mode
+         */
+        void** pv = (void**)(&_p_rng);
+        if( ifarg(1)) {
+            *pv = nrn_random_arg(1);
+        } else {
+            *pv = (void*)0;
+        }
+    }
+ENDVERBATIM
+}
+
+FUNCTION erand() {
+VERBATIM
+	    //FILE *fi;
+        double value;
+        if (_p_rng) {
+                /*
+                :Supports separate independent but reproducible streams for
+                : each instance. However, the corresponding hoc Random
+                : distribution MUST be set to Random.negexp(1)
+                */
+                value = nrn_random_pick(_p_rng);
+		        //fi = fopen("RandomStreamMCellRan4.txt", "w");
+                //fprintf(fi,"random stream for this simulation = %lf\n",value);
+                //printf("random stream for this simulation = %lf\n",value);
+                return value;
+        }else{
+ENDVERBATIM
+                : the old standby. Cannot use if reproducible parallel sim
+                : independent of nhost or which host this instance is on
+                : is desired, since each instance on this cpu draws from
+                : the same stream
+                erand = exprand(1)
+VERBATIM
+        }
+ENDVERBATIM
+        erand = value
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/ProbUDFsyn2.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/ProbUDFsyn2.mod
new file mode 100644
index 00000000..9e152cfa
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/ProbUDFsyn2.mod
@@ -0,0 +1,174 @@
+TITLE AMPA and NMDA receptor with presynaptic short-term plasticity 
+
+
+COMMENT
+AMPA and NMDA receptor conductance using a dual-exponential profile
+presynaptic short-term plasticity based on Fuhrmann et al. 2002
+Implemented by Srikanth Ramaswamy, Blue Brain Project, July 2009
+Etay: changed weight to be equal for NMDA and AMPA, gmax accessible in Neuron
+
+ENDCOMMENT
+
+
+NEURON {
+
+        POINT_PROCESS ProbUDFsyn2  
+        RANGE tau_r, tau_d
+        RANGE Use, u, Dep, Fac, u0
+        RANGE i, g, e, gmax
+        NONSPECIFIC_CURRENT i
+	POINTER rng
+}
+
+PARAMETER {
+
+        tau_r = 0.2   (ms)  : dual-exponential conductance profile
+        tau_d = 1.7    (ms)  : IMPORTANT: tau_r < tau_d
+        Use = 1.0   (1)   : Utilization of synaptic efficacy (just initial values! Use, Dep and Fac are overwritten by BlueBuilder assigned values) 
+        Dep = 100   (ms)  : relaxation time constant from depression
+        Fac = 10   (ms)  :  relaxation time constant from facilitation
+        e = 0     (mV)  : AMPA and NMDA reversal potential
+    	gmax = .001 (uS) : weight conversion factor (from nS to uS)
+    	u0 = 0 :initial value of u, which is the running value of Use
+}
+
+COMMENT
+The Verbatim block is needed to generate random nos. from a uniform distribution between 0 and 1 
+for comparison with Pr to decide whether to activate the synapse or not
+ENDCOMMENT
+   
+VERBATIM
+
+#include<stdlib.h>
+#include<stdio.h>
+#include<math.h>
+
+double nrn_random_pick(void* r);
+void* nrn_random_arg(int argpos);
+
+ENDVERBATIM
+  
+
+ASSIGNED {
+
+        v (mV)
+        i (nA)
+	g (uS)
+        factor
+	rng
+	weight_NMDA
+}
+
+STATE {
+        A       : state variable to construct the dual-exponential profile - decays with conductance tau_r_AMPA
+        B       : state variable to construct the dual-exponential profile - decays with conductance tau_d_AMPA
+}
+
+INITIAL{
+
+  LOCAL tp
+        
+	A = 0
+  B = 0
+	
+        
+	tp = (tau_r*tau_d)/(tau_d-tau_r)*log(tau_d/tau_r) :time to peak of the conductance
+	      
+	factor = -exp(-tp/tau_r)+exp(-tp/tau_d) : Normalization factor - so that when t = tp, gsyn = gpeak
+        factor = 1/factor
+ 
+}
+
+BREAKPOINT {
+
+        SOLVE state METHOD cnexp
+        g = gmax*(B-A) :compute time varying conductance as the difference of state variables B and A
+        i = g*(v-e) :compute the driving force based on the time varying conductance, membrane potential, and reversal
+}
+
+DERIVATIVE state{
+
+        A' = -A/tau_r
+        B' = -B/tau_d
+}
+
+
+NET_RECEIVE (weight, Pv, Pr, u, tsyn (ms)){
+	
+        INITIAL{
+                Pv=1
+                u=u0
+                tsyn=t
+            }
+
+        : calc u at event-
+        if (Fac > 0) {
+                u = u*exp(-(t - tsyn)/Fac) :update facilitation variable if Fac>0 Eq. 2 in Fuhrmann et al.
+           } else {
+                  u = Use  
+           } 
+           if(Fac > 0){
+                  u = u + Use*(1-u) :update facilitation variable if Fac>0 Eq. 2 in Fuhrmann et al.
+           }    
+
+        
+            Pv  = 1 - (1-Pv) * exp(-(t-tsyn)/Dep) :Probability Pv for a vesicle to be available for release, analogous to the pool of synaptic
+                                                 :resources available for release in the deterministic model. Eq. 3 in Fuhrmann et al.
+            Pr  = u * Pv                         :Pr is calculated as Pv * u (running value of Use)
+            Pv  = Pv - u * Pv                    :update Pv as per Eq. 3 in Fuhrmann et al.
+            :printf("Pv = %g\n", Pv)
+            :printf("Pr = %g\n", Pr)
+            tsyn = t
+                
+		   if (erand() < Pr){
+	
+                    A = A + weight*factor
+                    B = B + weight*factor
+                }
+}
+
+PROCEDURE setRNG() {
+VERBATIM
+    {
+        /**
+         * This function takes a NEURON Random object declared in hoc and makes it usable by this mod file.
+         * Note that this method is taken from Brett paper as used by netstim.hoc and netstim.mod
+         * which points out that the Random must be in negexp(1) mode
+         */
+        void** pv = (void**)(&_p_rng);
+        if( ifarg(1)) {
+            *pv = nrn_random_arg(1);
+        } else {
+            *pv = (void*)0;
+        }
+    }
+ENDVERBATIM
+}
+
+FUNCTION erand() {
+VERBATIM
+	    //FILE *fi;
+        double value;
+        if (_p_rng) {
+                /*
+                :Supports separate independent but reproducible streams for
+                : each instance. However, the corresponding hoc Random
+                : distribution MUST be set to Random.negexp(1)
+                */
+                value = nrn_random_pick(_p_rng);
+		        //fi = fopen("RandomStreamMCellRan4.txt", "w");
+                //fprintf(fi,"random stream for this simulation = %lf\n",value);
+                //printf("random stream for this simulation = %lf\n",value);
+                return value;
+        }else{
+ENDVERBATIM
+                : the old standby. Cannot use if reproducible parallel sim
+                : independent of nhost or which host this instance is on
+                : is desired, since each instance on this cpu draws from
+                : the same stream
+                erand = exprand(1)
+VERBATIM
+        }
+ENDVERBATIM
+        erand = value
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/SK.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/SK.mod
new file mode 100644
index 00000000..8bfa3b72
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/SK.mod
@@ -0,0 +1,56 @@
+: SK-type calcium-activated potassium current
+: Reference : Kohler et al. 1996
+
+NEURON {
+       SUFFIX SK
+       USEION k READ ek WRITE ik
+       USEION ca READ cai
+       RANGE gbar, g, ik
+}
+
+UNITS {
+      (mV) = (millivolt)
+      (mA) = (milliamp)
+      (mM) = (milli/liter)
+}
+
+PARAMETER {
+          v            (mV)
+          gbar = .000001 (mho/cm2)
+          zTau = 1              (ms)
+          ek           (mV)
+          cai          (mM)
+}
+
+ASSIGNED {
+         zInf
+         ik            (mA/cm2)
+         g	       (S/cm2)
+}
+
+STATE {
+      z   FROM 0 TO 1
+}
+
+BREAKPOINT {
+           SOLVE states METHOD cnexp
+           g  = gbar * z
+           ik   =  g * (v - ek)
+}
+
+DERIVATIVE states {
+        rates(cai)
+        z' = (zInf - z) / zTau
+}
+
+PROCEDURE rates(ca(mM)) {
+          if(ca < 1e-7){
+	              ca = ca + 1e-07
+          }
+          zInf = 1/(1 + (0.00043 / ca)^4.8)
+}
+
+INITIAL {
+        rates(cai)
+        z = zInf
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/SK_E2.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/SK_E2.mod
new file mode 100755
index 00000000..6a0c48f9
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/SK_E2.mod
@@ -0,0 +1,56 @@
+: SK-type calcium-activated potassium current
+: Reference : Kohler et al. 1996
+
+NEURON {
+       SUFFIX SK_E2
+       USEION k READ ek WRITE ik
+       USEION ca READ cai
+       RANGE gSK_E2bar, gSK_E2, ik
+}
+
+UNITS {
+      (mV) = (millivolt)
+      (mA) = (milliamp)
+      (mM) = (milli/liter)
+}
+
+PARAMETER {
+          v            (mV)
+          gSK_E2bar = .000001 (mho/cm2)
+          zTau = 1              (ms)
+          ek           (mV)
+          cai          (mM)
+}
+
+ASSIGNED {
+         zInf
+         ik            (mA/cm2)
+         gSK_E2	       (mho/cm2)
+}
+
+STATE {
+      z   FROM 0 TO 1
+}
+
+BREAKPOINT {
+           SOLVE states METHOD cnexp
+           gSK_E2  = gSK_E2bar * z
+           ik   =  gSK_E2 * (v - ek)
+}
+
+DERIVATIVE states {
+        rates(cai)
+        z' = (zInf - z) / zTau
+}
+
+PROCEDURE rates(ca(mM)) {
+          if(ca < 1e-7 (mM)){
+	              ca = ca + 1e-07 (mM)
+          }
+          zInf = 1/(1 + (0.00043 (mM)/ ca)^4.8)
+}
+
+INITIAL {
+        rates(cai)
+        z = zInf
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/SKv3_1.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/SKv3_1.mod
new file mode 100755
index 00000000..9c4e0042
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/SKv3_1.mod
@@ -0,0 +1,54 @@
+:Comment :
+:Reference : :		Characterization of a Shaw-related potassium channel family in rat brain, The EMBO Journal, vol.11, no.7,2473-2486 (1992)
+
+NEURON	{
+	SUFFIX SKv3_1
+	USEION k READ ek WRITE ik
+	RANGE gSKv3_1bar, gSKv3_1, ik 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gSKv3_1bar = 0.00001 (S/cm2) 
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	gSKv3_1	(S/cm2)
+	mInf	(1)
+	mTau	(ms)
+}
+
+STATE	{ 
+	m      (1)
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	gSKv3_1 = gSKv3_1bar*m
+	ik = gSKv3_1*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+		mInf =  1/(1+exp(((v -(18.700(mV)))/(-9.700(mV)))))
+		mTau =  0.2*20.000(ms)/(1+exp(((v -(-46.560(mV)))/(-44.140(mV)))))
+	UNITSOFF
+	UNITSON
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/cdp5_CAM.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/cdp5_CAM.mod
new file mode 100644
index 00000000..1aba233f
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/cdp5_CAM.mod
@@ -0,0 +1,373 @@
+: Calcium ion accumulation with endogenous buffers, DCM and pump
+
+COMMENT
+
+The basic code of Example 9.8 and Example 9.9 from NEURON book was adapted as:
+
+1) Extended using parameters from Schmidt et al. 2003.
+2) Pump rate was tuned according to data from Maeda et al. 1999
+3) DCM was introduced and tuned to approximate the effect of radial diffusion
+
+Reference: Anwar H, Hong S, De Schutter E (2010) Controlling Ca2+-activated K+ channels with models of Ca2+ buffering in Purkinje cell. Cerebellum*
+
+*Article available as Open Access
+
+PubMed link: http://www.ncbi.nlm.nih.gov/pubmed/20981513
+
+Written by Haroon Anwar, Computational Neuroscience Unit, Okinawa Institute of Science and Technology, 2010.
+Contact: Haroon Anwar (anwar@oist.jp)
+
+ENDCOMMENT
+
+
+NEURON {
+  SUFFIX cdp5_CAM
+  USEION ca READ cao, cai, ica WRITE cai
+
+  RANGE ica_pmp
+  RANGE Nannuli, Buffnull2, rf3, rf4, vrat
+  RANGE CAM0, CAM1C, CAM2C, CAM1N2C, CAM1N, CAM2N, CAM2N1C, CAM1C1N, CAM4
+  RANGE TotalPump
+
+}
+
+
+UNITS {
+	(mol)   = (1)
+	(molar) = (1/liter)
+	(mM)    = (millimolar)
+	(um)    = (micron)
+	(mA)    = (milliamp)
+	FARADAY = (faraday)  (10000 coulomb)
+	PI      = (pi)       (1)
+}
+
+PARAMETER {
+	Nannuli = 10.9495 (1)
+	celsius (degC)
+        
+	cainull = 45e-6 (mM)
+        mginull =.59    (mM)
+
+:	values for a buffer compensating the diffusion
+
+	Buffnull1 = 0	(mM)
+	rf1 = 0.0134329	(/ms mM)
+	rf2 = 0.0397469	(/ms)
+
+	Buffnull2 = 60.9091	(mM)
+	rf3 = 0.1435	(/ms mM)
+	rf4 = 0.0014	(/ms)
+
+:	values for benzothiazole coumarin (BTC)
+	BTCnull = 0	(mM)
+	b1 = 5.33	(/ms mM)
+	b2 = 0.08	(/ms)
+
+:	values for caged compound DMNPE-4
+	DMNPEnull = 0	(mM)
+	c1 = 5.63	(/ms mM)
+	c2 = 0.107e-3	(/ms)
+
+:       values for Calbindin (2 high and 2 low affinity binding sites)
+
+        CBnull=	.16             (mM)
+        nf1   =43.5           (/ms mM)
+        nf2   =3.58e-2        (/ms)
+        ns1   =5.5            (/ms mM)
+        ns2   =0.26e-2        (/ms)
+
+:       values for Parvalbumin
+
+        PVnull  = .08           (mM)
+        m1    = 1.07e2        (/ms mM)
+        m2    = 9.5e-4                (/ms)
+        p1    = 0.8           (/ms mM)
+        p2    = 2.5e-2                (/ms)
+
+:	Calmodulin concentration
+	CAM_start 	= 0.03		(mM) :Pepke 2010
+
+: 	Calmodulin Kinetic parameters. The values are the mean between max and min.
+	:C-lobe
+	Kd1C = 		0.00965	(mM)						: Kd - Equilibrium binding of 1st Ca2+ to CaM C-terminus 
+	K1Coff = 	0.04	(/ms)						: From 0C to 1C with X ions on N-lobe
+	K1Con = 	5.4	(/mM ms)					: From 1C to 0C with X ions on N-lobe
+	Kd2C = 		0.00105	(mM)						: Kd - Equilibrium binding of 2nd Ca2+ to CaM C-terminus
+	K2Coff = 	0.00925	(/ms)						: From 1C to 2C with X ions on N-lobe
+	K2Con = 	15	(/mM ms)					: From 2C to 1C with X ions on N-lobe
+
+	:N-lobe
+	Kd1N = 		0.0275	(uM)						: Kd - Equilibrium binding of 1st Ca2+ to CaM N-terminus 
+	K1Noff = 	2.5	(/ms)						: From 0N to 1N with X ions on C-lobe
+	K1Non = 	142.5	(/mM ms)					: From 1N to 0N with X ions on C-lobe
+	Kd2N = 		0.00615	(mM)						: Kd - Equilibrium binding of 2nd Ca2+ to CaM N-terminus
+	K2Noff = 	0.75	(/ms)						: From 1N to 2N with X ions on C-lobe
+	K2Non = 	175	(/mM ms)					: From 2N to 1N with X ions on C-lobe        
+        
+        
+        
+  	kpmp1    = 3e-3       (/mM-ms)
+  	kpmp2    = 1.75e-5   (/ms)
+  	kpmp3    = 7.255e-5  (/ms)
+	TotalPump = 1e-9	(mol/cm2)	
+
+}
+
+ASSIGNED {
+	diam      (um)
+	ica       (mA/cm2)
+	ica_pmp   (mA/cm2)
+	parea     (um)     : pump area per unit length
+	parea2	  (um)
+	cai       (mM)
+	cao       (mM)
+	mgi	(mM)
+	vrat	(1)
+}
+
+:CONSTANT { cao = 2	(mM) }
+
+STATE {
+	: ca[0] is equivalent to cai
+	: ca[] are very small, so specify absolute tolerance
+	: let it be ~1.5 - 2 orders of magnitude smaller than baseline level
+
+	ca		(mM)    <1e-3>
+	mg		(mM)	<1e-6>
+	
+	Buff1		(mM)	
+	Buff1_ca	(mM)
+
+	Buff2		(mM)
+	Buff2_ca	(mM)
+
+	BTC		(mM)
+	BTC_ca		(mM)
+
+	DMNPE		(mM)
+	DMNPE_ca	(mM)	
+
+        CB		(mM)
+        CB_f_ca		(mM)
+        CB_ca_s		(mM)
+        CB_ca_ca	(mM)
+
+        PV		(mM)
+        PV_ca		(mM)
+        PV_mg		(mM)
+        
+:State for the Calmodulin      
+
+	CAM0		(mM)
+
+	:C-lobe mainly
+	CAM1C		(mM)
+	CAM2C		(mM)
+	CAM1N2C		(mM)
+	
+	:N-Lobe Mainly
+	CAM1N		(mM)
+	CAM2N		(mM)
+	CAM2N1C		(mM)
+
+	:One ion on C-lobe and one on N-lobe
+	CAM1C1N		(mM)
+
+	:CaM complete
+	CAM4		(mM)	
+	
+	pump		(mol/cm2) <1e-15>
+	pumpca		(mol/cm2) <1e-15>
+
+}
+
+BREAKPOINT {
+	SOLVE state METHOD sparse
+}
+
+LOCAL factors_done
+
+INITIAL {
+	factors()
+
+	ca = cainull
+	mg = mginull
+	
+	Buff1 = ssBuff1()
+	Buff1_ca = ssBuff1ca()
+
+	Buff2 = ssBuff2()
+	Buff2_ca = ssBuff2ca()
+
+	BTC = ssBTC()
+	BTC_ca = ssBTCca()		
+
+	DMNPE = ssDMNPE()
+	DMNPE_ca = ssDMNPEca()
+
+	CB = ssCB( kdf(), kds())   
+	CB_f_ca = ssCBfast( kdf(), kds())
+	CB_ca_s = ssCBslow( kdf(), kds())
+	CB_ca_ca = ssCBca( kdf(), kds())
+
+	PV = ssPV( kdc(), kdm())
+	PV_ca = ssPVca(kdc(), kdm())
+	PV_mg = ssPVmg(kdc(), kdm())
+	
+	:Calmodulin
+	CAM0	= CAM_start		
+	CAM1C	= 0
+	CAM2C	= 0
+	CAM1N2C = 0
+	CAM1N   = 0
+	CAM2N	= 0
+	CAM2N1C = 0
+	CAM1C1N = 0
+	CAM4	= 0
+
+		
+  	parea = PI*diam
+	parea2 = PI*(diam-0.2)
+	ica = 0
+	ica_pmp = 0
+:	ica_pmp_last = 0
+	pump = TotalPump
+	pumpca = 0
+	
+	cai = ca
+        
+}
+
+PROCEDURE factors() {
+        LOCAL r, dr2
+        r = 1/2                : starts at edge (half diam)
+        dr2 = r/(Nannuli-1)/2  : full thickness of outermost annulus,
+        vrat = PI*(r-dr2/2)*2*dr2  : interior half
+        r = r - dr2
+        
+}
+
+
+LOCAL dsq, dsqvol  : can't define local variable in KINETIC block
+                   :   or use in COMPARTMENT statement
+
+KINETIC state {
+  COMPARTMENT diam*diam*vrat {ca mg Buff1 Buff1_ca Buff2 Buff2_ca BTC BTC_ca DMNPE DMNPE_ca CB CB_f_ca CB_ca_s CB_ca_ca PV PV_ca PV_mg CAM0 CAM1C CAM2C CAM1N2C CAM1N CAM2N CAM2N1C CAM1C1N CAM4}
+  COMPARTMENT (1e10)*parea {pump pumpca}
+
+
+	:pump
+	~ ca + pump <-> pumpca  (kpmp1*parea*(1e10), kpmp2*parea*(1e10))
+	~ pumpca <-> pump   (kpmp3*parea*(1e10), 0)
+  	CONSERVE pump + pumpca = TotalPump * parea * (1e10)
+	
+	ica_pmp = 2*FARADAY*(f_flux - b_flux)/parea	
+	: all currents except pump
+	: ica is Ca efflux
+	~ ca << (-ica*PI*diam/(2*FARADAY))
+
+	:RADIAL DIFFUSION OF ca, mg and mobile buffers
+
+	dsq = diam*diam
+		dsqvol = dsq*vrat
+		~ ca + Buff1 <-> Buff1_ca (rf1*dsqvol, rf2*dsqvol)
+		~ ca + Buff2 <-> Buff2_ca (rf3*dsqvol, rf4*dsqvol)
+		~ ca + BTC <-> BTC_ca (b1*dsqvol, b2*dsqvol)
+		~ ca + DMNPE <-> DMNPE_ca (c1*dsqvol, c2*dsqvol)
+		:Calbindin	
+		~ ca + CB <-> CB_ca_s (nf1*dsqvol, nf2*dsqvol)
+	       	~ ca + CB <-> CB_f_ca (ns1*dsqvol, ns2*dsqvol)
+        	~ ca + CB_f_ca <-> CB_ca_ca (nf1*dsqvol, nf2*dsqvol)
+        	~ ca + CB_ca_s <-> CB_ca_ca (ns1*dsqvol, ns2*dsqvol)
+
+		:Paravalbumin
+        	~ ca + PV <-> PV_ca (m1*dsqvol, m2*dsqvol)
+        	~ mg + PV <-> PV_mg (p1*dsqvol, p2*dsqvol)
+
+        	:Calmodulin
+		  :C-lobe
+		~ ca + CAM0 <-> CAM1C (K1Con*dsqvol, K1Coff*dsqvol)
+		~ ca + CAM1C <-> CAM2C (K2Con*dsqvol, K2Coff*dsqvol)
+		~ ca + CAM2C <-> CAM1N2C (K1Non*dsqvol, K1Noff*dsqvol)
+		~ ca + CAM1N2C <-> CAM4 (K2Non*dsqvol, K2Noff*dsqvol) 
+
+		  :N-lobe
+		~ ca + CAM0 <-> CAM1N (K1Non*dsqvol, K1Noff*dsqvol)
+		~ ca + CAM1N <-> CAM2N (K2Non*dsqvol, K2Noff*dsqvol) 
+		~ ca + CAM2N <-> CAM2N1C (K1Con*dsqvol, K1Coff*dsqvol)
+		~ ca + CAM2N1C <-> CAM4 (K2Con*dsqvol, K2Coff*dsqvol)
+
+		  :Mixed C and N lobes
+		~ ca + CAM1C <-> CAM1C1N (K1Non*dsqvol, K1Noff*dsqvol) 
+		~ ca + CAM1N <-> CAM1C1N (K1Con*dsqvol, K1Coff*dsqvol)
+		~ ca + CAM1C1N <-> CAM1N2C (K2Con*dsqvol, K2Coff*dsqvol)
+		~ ca + CAM1C1N <-> CAM2N1C (K2Non*dsqvol, K2Noff*dsqvol) 
+
+  	cai = ca
+	mgi = mg
+
+}
+
+FUNCTION ssBuff1() (mM) {
+	ssBuff1 = Buffnull1/(1+((rf1/rf2)*cainull))
+}
+FUNCTION ssBuff1ca() (mM) {
+	ssBuff1ca = Buffnull1/(1+(rf2/(rf1*cainull)))
+}
+FUNCTION ssBuff2() (mM) {
+        ssBuff2 = Buffnull2/(1+((rf3/rf4)*cainull))
+}
+FUNCTION ssBuff2ca() (mM) {
+        ssBuff2ca = Buffnull2/(1+(rf4/(rf3*cainull)))
+}
+
+FUNCTION ssBTC() (mM) {
+	ssBTC = BTCnull/(1+((b1/b2)*cainull))
+}
+
+FUNCTION ssBTCca() (mM) {
+	ssBTCca = BTCnull/(1+(b2/(b1*cainull)))
+}
+
+FUNCTION ssDMNPE() (mM) {
+	ssDMNPE = DMNPEnull/(1+((c1/c2)*cainull))
+}
+
+FUNCTION ssDMNPEca() (mM) {
+	ssDMNPEca = DMNPEnull/(1+(c2/(c1*cainull)))
+}
+
+FUNCTION ssCB( kdf(), kds()) (mM) {
+	ssCB = CBnull/(1+kdf()+kds()+(kdf()*kds()))
+}
+FUNCTION ssCBfast( kdf(), kds()) (mM) {
+	ssCBfast = (CBnull*kds())/(1+kdf()+kds()+(kdf()*kds()))
+}
+FUNCTION ssCBslow( kdf(), kds()) (mM) {
+	ssCBslow = (CBnull*kdf())/(1+kdf()+kds()+(kdf()*kds()))
+}
+FUNCTION ssCBca(kdf(), kds()) (mM) {
+	ssCBca = (CBnull*kdf()*kds())/(1+kdf()+kds()+(kdf()*kds()))
+}
+FUNCTION kdf() (1) {
+	kdf = (cainull*nf1)/nf2
+}
+FUNCTION kds() (1) {
+	kds = (cainull*ns1)/ns2
+}
+FUNCTION kdc() (1) {
+	kdc = (cainull*m1)/m2
+}
+FUNCTION kdm() (1) {
+	kdm = (mginull*p1)/p2
+}
+FUNCTION ssPV( kdc(), kdm()) (mM) {
+	ssPV = PVnull/(1+kdc()+kdm())
+}
+FUNCTION ssPVca( kdc(), kdm()) (mM) {
+	ssPVca = (PVnull*kdc())/(1+kdc()+kdm())
+}
+FUNCTION ssPVmg( kdc(), kdm()) (mM) {
+	ssPVmg = (PVnull*kdm())/(1+kdc()+kdm())
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/epsp.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/epsp.mod
new file mode 100644
index 00000000..d9473547
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/epsp.mod
@@ -0,0 +1,69 @@
+: this model is built-in to neuron with suffix epsp
+: Schaefer et al. 2003
+
+COMMENT
+modified from syn2.mod
+injected current with exponential rise and decay current defined by
+         i = 0 for t < onset and
+         i=amp*((1-exp(-(t-onset)/tau0))-(1-exp(-(t-onset)/tau1)))
+          for t > onset
+
+	compare to experimental current injection:
+ 	i = - amp*(1-exp(-t/t1))*(exp(-t/t2))
+
+	-> tau1==t2   tau0 ^-1 = t1^-1 + t2^-1
+ENDCOMMENT
+					       
+INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
+
+NEURON {
+	POINT_PROCESS epsp
+	RANGE onset, tau0, tau1, imax, i, myv
+	NONSPECIFIC_CURRENT i
+}
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	onset=0  (ms)
+	tau0=0.2 (ms)
+	tau1=3.0 (ms)
+	imax=0 	 (nA)
+	v	 (mV)
+}
+
+ASSIGNED { i (nA)  myv (mV)}
+
+LOCAL   a[2]
+LOCAL   tpeak
+LOCAL   adjust
+LOCAL   amp
+
+BREAKPOINT {
+	myv = v
+        i = curr(t)
+}
+
+FUNCTION myexp(x) {
+	if (x < -100) {
+	myexp = 0
+	}else{
+	myexp = exp(x)
+	}
+}
+
+FUNCTION curr(x) {				
+	tpeak=tau0*tau1*log(tau0/tau1)/(tau0-tau1)
+	adjust=1/((1-myexp(-tpeak/tau0))-(1-myexp(-tpeak/tau1)))
+	amp=adjust*imax
+	if (x < onset) {
+		curr = 0
+	}else{
+		a[0]=1-myexp(-(x-onset)/tau0)
+		a[1]=1-myexp(-(x-onset)/tau1)
+		curr = -amp*(a[0]-a[1])
+	}
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/exp1isyn.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/exp1isyn.mod
new file mode 100755
index 00000000..e8700401
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/exp1isyn.mod
@@ -0,0 +1,52 @@
+COMMENT
+Current-based version of the conductance-based model exp1syn (refer to the exp1syn.mod)
+In this model the synatic current is defined as i = g*e, whereas in the conductance based model i = g*(v - e).
+Since the current is proportional to conductance, this model may be used to report the values of conductance by recording the current.
+
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+NEURON {
+	POINT_PROCESS exp1isyn
+	RANGE tau, e, i
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(uS) = (microsiemens)
+}
+
+PARAMETER {
+	tau = 0.1 (ms) <1e-9,1e9>
+	e = 0	(mV)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	g (uS)
+}
+
+INITIAL {
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*e
+}
+
+DERIVATIVE state {
+	g' = -g/tau
+}
+
+NET_RECEIVE(weight (uS)) {
+	g = g + weight
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/exp1syn.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/exp1syn.mod
new file mode 100755
index 00000000..6763e687
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/exp1syn.mod
@@ -0,0 +1,42 @@
+NEURON {
+	POINT_PROCESS exp1syn
+	RANGE tau, e, i
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(uS) = (microsiemens)
+}
+
+PARAMETER {
+	tau = 0.1 (ms) <1e-9,1e9>
+	e = 0	(mV)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	g (uS)
+}
+
+INITIAL {
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v-e)
+}
+
+DERIVATIVE state {
+	g' = -g/tau
+}
+
+NET_RECEIVE(weight (uS)) {
+	g = g + weight
+}
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp1syn.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp1syn.mod
new file mode 100755
index 00000000..3490c587
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp1syn.mod
@@ -0,0 +1,75 @@
+COMMENT
+A model (# 1 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp1syn
+	RANGE e, i, tau_r, p0, tau_1
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+	: tau_r = recovery time constant
+	tau_r = 100 (ms)
+	: p0  = baseline level of release probability
+	p0 = 0.3
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	g
+}
+
+INITIAL {
+	n=1
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0
+	n = n - n*p0
+		
+
+}
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp2syn.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp2syn.mod
new file mode 100755
index 00000000..ce1d1625
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp2syn.mod
@@ -0,0 +1,95 @@
+COMMENT
+A model (# 2 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,5) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	tau_r = time constant for vesicle replenishment
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+
+
+NEURON {
+	POINT_PROCESS stp2syn
+	RANGE e, i, p0, tau_1, tau_r0, a_FDR, tau_FDR, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+	(uS) = (microsiemens)
+
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: p0  = baseline level of release probability
+	p0 = 0.3
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 5 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = magnitude of tau_r reduction after each spike
+	a_FDR = 0.5
+
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax 
+}
+
+STATE {
+	n
+	tau_r
+	g
+}
+
+INITIAL {
+	n=1
+	tau_r=tau_r0
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+	Pmax = n*p0
+}
+
+DERIVATIVE state {
+	g' = -g/tau_1
+	n' = (1-n)/tau_r
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p0
+	tau_r = tau_r - a_FDR*tau_r
+
+}
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp3syn.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp3syn.mod
new file mode 100755
index 00000000..31869840
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp3syn.mod
@@ -0,0 +1,102 @@
+COMMENT
+A model (# 3 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,5,10) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	D = fraction of non-desensitized receptors
+	tau_r = time constant for vesicle replenishment
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp3syn
+	RANGE e, i, p0, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: p0  = baseline level of release probability
+	p0 = 0.3
+
+	: tau_f = facilitation time constant
+	tau_f = 1000 (ms) < 0, 1e9 >
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = magnitude of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D 
+	a_D = 0.5 
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	tau_r
+	D
+	g
+}
+
+INITIAL {
+	n=1
+	tau_r=tau_r0
+	g=0
+	D=1
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0*D
+	n = n - n*p0
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p0*n*D
+
+}
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp4syn.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp4syn.mod
new file mode 100755
index 00000000..1ba964be
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp4syn.mod
@@ -0,0 +1,83 @@
+COMMENT
+A model (# 4 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity. 
+The magnitude of the peak conductance is found by 
+solving Eqs (3,4) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	p = release probability
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+
+
+NEURON {
+	POINT_PROCESS stp4syn
+	RANGE e, i, tau_r, p0, tau_1,tau_f
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+	: tau_r = recovery time constant
+	tau_r = 100 (ms)
+	: p0  = baseline level of release probability
+	p0 = 0.3
+	: tau_f = facilitation time constant
+	tau_f = 1000 (ms) < 0, 1e9 >
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	p
+	g
+}
+
+INITIAL {
+	n=1
+	p=1
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+    p' = 0
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0
+	n = n - n*p0
+	p = p + p0*(1-p)
+
+}
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp5isyn.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp5isyn.mod
new file mode 100755
index 00000000..d6b6c105
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp5isyn.mod
@@ -0,0 +1,113 @@
+COMMENT
+Current-based version of the conductance-based model stp5syn (refer to the stp5syn.mod)
+In this model the synatic current is defined as i = g*e, whereas in the conductance based model i = g*(v - e).
+Since the current is proportional to conductance, this model may be used to report the values of conductance by recording the current.
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp5isyn
+	RANGE e, i, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D, a_i, tau_i, a_f, tau_f, pbtilde, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = amount of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D = amount of desentization
+	a_D = 0.5 
+
+	: tau_i = relaxation time for p0 
+	tau_i = 100 (ms) 
+
+	: a_i = amount of decrease of baseline probability after each spike 
+	a_i = 0.5 
+
+	: tau_f = facilitation time constant (relaxation time constant for p) 
+	tau_f = 10 (ms) 
+
+	: a_f = amount of facilitation  (increase of p after each spike)
+	a_f = 0.5 
+
+	: pbtilde = baseline level of pb
+	pbtilde = 0.5 
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax
+}
+
+STATE {
+	n
+	p
+	tau_r
+	D
+	pb
+	g
+}
+
+INITIAL {
+	n=1
+	pb=pbtilde
+	p=pb
+	tau_r=tau_r0
+	D=1
+	g=0
+
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+:	i = g*(v - e)
+	i = g*e
+	Pmax = n*p*D
+
+}
+
+DERIVATIVE state {
+	g' = -g/tau_1
+	n' = (1-n)/tau_r
+	p' = (pb-p)/tau_f
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+	pb' = (pbtilde-pb)/tau_i
+
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p
+	p = p + a_f*(1-p)
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p*n*D
+	pb = pb - a_i*pb
+
+}
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp5syn.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp5syn.mod
new file mode 100755
index 00000000..621fe9e1
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/stp5syn.mod
@@ -0,0 +1,131 @@
+COMMENT
+A model (# 5 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,4,5,8,10) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+This file could be used to simulate simpler models by setting to zero the parameters in the unused equations(e.g, a_D,a_i,a_f).
+
+State variables:
+
+	n = fraction of available vesicles 
+	D = fraction of non-desensitized receptors
+	tau_r = time constant for vesicle replenishment
+	pb = baseline vesicle release probability
+	p = vesicle release probability
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where w is the static synaptic weight and Pmax is the activity-dependent factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1.
+
+Implemented by Sergey L. Gratiy,
+
+ENDCOMMENT
+
+: Declaring parameters as RANGE allows them to change as a function of a position alogn the cell
+NEURON {
+	POINT_PROCESS stp5syn
+	RANGE e, i, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D, a_i, tau_i, a_f, tau_f, pbtilde, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+: Declaration of the default values of parameters
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = amount of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D = amount of desentization
+	a_D = 0.5 
+
+	: tau_i = relaxation time for p0 
+	tau_i = 100 (ms) 
+
+	: a_i = amount of decrease of baseline probability after each spike 
+	a_i = 0.5 
+
+	: tau_f = facilitation time constant (relaxation time constant for p) 
+	tau_f = 10 (ms) 
+
+	: a_f = amount of facilitation  (increase of p after each spike)
+	a_f = 0.5 
+
+	: pbtilde = baseline level of p0
+	pbtilde = 0.5 
+
+}
+: Declaration of dependent and external variables that collectively are called ASSIGNED
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax
+}
+
+: Declaration of the state variables
+STATE {
+	n
+	p
+	tau_r
+	D
+	pb
+	g
+}
+
+: Initial conditions for the state variables
+INITIAL {
+	n=1
+	p=1
+	tau_r=tau_r0
+	D=1
+	pb=pbtilde
+	g=0
+
+}
+
+: Integration method + assignment statements
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+	Pmax = n*p*D
+}
+
+: Definition of teh dynamics between the presynaptic activations
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	p' = (pb-p)/tau_f
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+	pb' = (pbtilde-pb)/tau_i
+	g' = -g/tau_1
+
+}
+
+: This block defines what happens to the state variables at the moment presynaptic activation
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p
+	p = p + a_f*(1-p)
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p*n*D
+	pb = pb - a_i*pb
+
+}
+
+
diff --git a/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/vecevent.mod b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/vecevent.mod
new file mode 100755
index 00000000..503dfd2e
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/mechanisms/modfiles/vecevent.mod
@@ -0,0 +1,71 @@
+:  Vector stream of events
+
+NEURON {
+	ARTIFICIAL_CELL VecStim
+}
+
+ASSIGNED {
+	index
+	etime (ms)
+	space
+}
+
+INITIAL {
+	index = 0
+	element()
+	if (index > 0) {
+		net_send(etime - t, 1)
+	}
+}
+
+NET_RECEIVE (w) {
+	if (flag == 1) {
+		net_event(t)
+		element()
+		if (index > 0) {
+			net_send(etime - t, 1)
+		}
+	}
+}
+
+VERBATIM
+extern double* vector_vec();
+extern int vector_capacity();
+extern void* vector_arg();
+ENDVERBATIM
+
+PROCEDURE element() {
+VERBATIM	
+  { void* vv; int i, size; double* px;
+	i = (int)index;
+	if (i >= 0) {
+		vv = *((void**)(&space));
+		if (vv) {
+			size = vector_capacity(vv);
+			px = vector_vec(vv);
+			if (i < size) {
+				etime = px[i];
+				index += 1.;
+			}else{
+				index = -1.;
+			}
+		}else{
+			index = -1.;
+		}
+	}
+  }
+ENDVERBATIM
+}
+
+PROCEDURE play() {
+VERBATIM
+	void** vv;
+	vv = (void**)(&space);
+	*vv = (void*)0;
+	if (ifarg(1)) {
+		*vv = vector_arg(1);
+	}
+ENDVERBATIM
+}
+        
+
diff --git a/docs/tutorial/01_opt_external_models/components/morphologies/HL5PN1.swc b/docs/tutorial/01_opt_external_models/components/morphologies/HL5PN1.swc
new file mode 100644
index 00000000..11523c29
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/morphologies/HL5PN1.swc
@@ -0,0 +1,12283 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): D:/BatchProcessing/681753346/reconstructions-681753346/mylinker.ano.swc_sorted.swc_part1_nosmooth.swc_assembled.swc_interpolated.swc
+# id,type,x,y,z,r,pid
+1 1 656.0142 1506.5908 37.0894 6.5548 -1
+2 2 650.3423 1507.895 36.4302 0.1144 1
+3 2 649.2086 1507.9407 36.7791 0.1144 2
+4 2 648.0749 1507.9865 37.128 0.1144 3
+5 2 647.0121 1508.2496 37.1795 0.1144 4
+6 2 646.0751 1508.8788 36.7091 0.1144 5
+7 2 645.1382 1509.508 36.2387 0.1144 6
+8 2 644.2013 1510.1372 35.7683 0.1144 7
+9 2 643.2643 1510.755 35.2979 0.1144 8
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diff --git a/docs/tutorial/01_opt_external_models/components/morphologies/cell1.asc b/docs/tutorial/01_opt_external_models/components/morphologies/cell1.asc
new file mode 100755
index 00000000..2ba87cb9
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/morphologies/cell1.asc
@@ -0,0 +1,6636 @@
+;	V3 text file written for MicroBrightField products.
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+  (   96.11  1254.04     0.27     1.17 S1)  ;  1, 418 Closure point
+)  ;  End of contour
+
+
+("CellBody"
+  (Color RGB (0, 255, 64))
+  (CellBody)
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+  (   40.34    26.15   -50.25     0.26 S1)  ;  3, 20
+)  ;  End of contour
+
+( (Color Orange)
+  (Axon)
+  (   46.27     9.75   -52.42     0.29 S1)  ; Root
+  (   46.57     7.19   -50.20     1.46 S1)  ; 1, R
+  (   46.86     4.31   -48.75     1.46 S1)  ; 2
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+  (   47.15   -30.60   -39.85     1.17 S1)  ; 13
+   Incomplete
+)  ;  End of tree
+
+( (Color DarkRed)
+  (Dendrite)
+  (   56.41    20.23   -50.25     0.58 S1)  ; Root
+  (   57.87    20.55   -50.25     1.17 S1)  ; 1, R
+  (   61.37    21.51   -49.35     1.17 S1)  ; 2
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+  (   71.29    18.31   -45.13     1.17 S1)  ; 6
+  (   74.67    18.98   -44.58     1.17 S1)  ; 7
+  (
+    (   78.46    19.30   -42.47     0.88 S1)  ; 1, R-1
+    (   81.38    20.26   -40.38     0.88 S1)  ; 2
+    (   84.00    19.94   -44.27     0.88 S1)  ; 3
+    (   86.05    19.94   -44.27     0.88 S1)  ; 4
+    (   86.41    19.89   -44.30     0.88 S1)  ; 5
+
+    (Cross
+      (Color DarkRed)
+      (Name "Marker 3")
+      (   80.50    19.30   -40.38     0.88 S1)  ; 1
+      (   82.31    19.66   -49.75     0.58 S1)  ; 2
+      (   84.36    20.94   -49.75     0.58 S1)  ; 3
+    )  ;  End of markers
+    (
+      (   88.04    24.20   -43.30     0.58 S1)  ; 1, R-1-1
+      (   89.79    26.76   -42.80     0.58 S1)  ; 2
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+      (  146.81   114.45   -14.88     0.29 S1)  ; 46
+      (  148.27   116.37   -13.63     0.29 S1)  ; 47
+
+      (Cross
+        (Color DarkRed)
+        (Name "Marker 3")
+        (   99.42    37.97   -39.85     0.58 S1)  ; 1
+        (  100.59    38.93   -39.85     0.58 S1)  ; 2
+        (  100.88    37.01   -39.85     0.58 S1)  ; 3
+        (   95.34    35.09   -48.22     0.58 S1)  ; 4
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+        (  125.69    63.91   -27.32     0.58 S1)  ; 35
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+        (  136.59    83.06   -32.70     0.58 S1)  ; 47
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+        (  128.71    76.02   -29.77     0.58 S1)  ; 51
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+        (  130.17    78.26   -29.77     0.58 S1)  ; 53
+        (  132.22    77.62   -29.77     0.58 S1)  ; 54
+        (  136.88    86.59   -32.50     0.58 S1)  ; 55
+        (  140.39   105.80   -19.75     0.29 S1)  ; 56
+        (  140.09   104.52   -19.75     0.29 S1)  ; 57
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+        (  138.34   101.32   -25.67     0.29 S1)  ; 59
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+        (  148.56   112.84   -20.10     0.29 S1)  ; 65
+        (  141.55   109.32   -20.10     0.29 S1)  ; 66
+        (  142.43   107.08   -20.10     0.29 S1)  ; 67
+      )  ;  End of markers
+       Normal
+    |
+      (   89.04    20.21   -41.38     0.88 S1)  ; 1, R-1-2
+      (   92.54    20.21   -41.08     0.88 S1)  ; 2
+      (
+        (   94.87    20.21   -34.08     0.58 S1)  ; 1, R-1-2-1
+        (   97.21    20.21   -30.92     0.58 S1)  ; 2
+        (   98.37    19.89   -27.17     0.58 S1)  ; 3
+        (   98.37    18.61   -24.90     0.58 S1)  ; 4
+        (  100.71    16.04   -23.10     0.58 S1)  ; 5
+        (  101.00    14.12   -21.42     0.58 S1)  ; 6
+        (  102.46    12.84   -20.05     0.58 S1)  ; 7
+        (  105.09    11.88   -17.38     0.58 S1)  ; 8
+        (  106.55    11.24   -15.07     0.58 S1)  ; 9
+        (  107.71    12.20   -12.42     0.58 S1)  ; 10
+        (  107.13     9.96    -7.80     0.58 S1)  ; 11
+        (  108.88     9.64    -6.20     0.58 S1)  ; 12
+        (  110.63     9.32    -2.57     0.58 S1)  ; 13
+        (  112.09     8.36     1.67     0.58 S1)  ; 14
+        (  111.21     6.76     5.45     0.58 S1)  ; 15
+        (  110.92     4.84     7.30     0.58 S1)  ; 16
+        (  112.97     2.60     7.65     0.58 S1)  ; 17
+        (  114.72     0.99     7.77     0.58 S1)  ; 18
+        (  114.13    -1.89     8.55     0.58 S1)  ; 19
+        (  114.72    -4.77     8.60     0.58 S1)  ; 20
+        (  115.30    -8.61     8.93     0.58 S1)  ; 21
+        (  115.88   -11.49     9.55     0.58 S1)  ; 22
+        (  116.76   -14.06     9.95     0.58 S1)  ; 23
+        (  119.68   -15.34    10.30     0.58 S1)  ; 24
+        (  121.43   -15.98    11.93     0.58 S1)  ; 25
+        (  123.18   -15.98    12.38     0.29 S1)  ; 26
+        (  123.18   -17.26    15.00     0.29 S1)  ; 27
+        (  124.64   -17.90    15.15     0.29 S1)  ; 28
+
+        (Cross
+          (Color DarkRed)
+          (Name "Marker 3")
+          (   94.00    21.49   -36.72     0.58 S1)  ; 1
+          (   99.25    19.57   -24.80     0.58 S1)  ; 2
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+          (  106.25    12.84   -15.00     0.58 S1)  ; 13
+          (  107.42    10.28   -15.00     0.58 S1)  ; 14
+          (  108.59    12.20    -2.57     0.58 S1)  ; 15
+          (  109.76    11.88    -2.57     0.58 S1)  ; 16
+          (  111.21     9.64     1.67     0.58 S1)  ; 17
+          (  109.46     9.00     1.67     0.58 S1)  ; 18
+          (  112.97     9.00     5.45     0.58 S1)  ; 19
+          (  109.46     5.48     7.65     0.58 S1)  ; 20
+          (  110.05     4.84     7.65     0.58 S1)  ; 21
+          (  110.34     3.88     7.65     0.58 S1)  ; 22
+          (  113.26     4.52     7.65     0.58 S1)  ; 23
+          (  112.97     4.20     8.23     0.58 S1)  ; 24
+          (  112.09     2.60     8.23     0.58 S1)  ; 25
+          (  115.30     0.67     8.23     0.58 S1)  ; 26
+          (  112.97    -0.93     8.23     0.58 S1)  ; 27
+          (  117.63   -12.13    10.30     0.58 S1)  ; 28
+          (  118.80   -13.74    10.30     0.58 S1)  ; 29
+          (  115.88    -7.97     4.85     0.58 S1)  ; 30
+          (  116.47   -10.21     4.85     0.58 S1)  ; 31
+          (  125.22   -16.94    15.20     0.29 S1)  ; 32
+          (  119.09   -16.62     4.10     0.29 S1)  ; 33
+        )  ;  End of markers
+         Normal
+      |
+        (   95.16    22.45   -43.33     0.58 S1)  ; 1, R-1-2-2
+        (   99.83    23.41   -43.45     0.58 S1)  ; 2
+        (  102.46    22.77   -44.07     0.58 S1)  ; 3
+        (  105.96    21.81   -43.45     0.58 S1)  ; 4
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+        (  113.55    19.25   -46.97     0.58 S1)  ; 6
+        (  115.59    17.01   -48.70     0.58 S1)  ; 7
+        (  118.80    17.33   -49.67     0.58 S1)  ; 8
+        (  122.30    16.36   -51.85     0.58 S1)  ; 9
+        (  123.47    14.12   -52.08     0.58 S1)  ; 10
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+        (  128.43    10.28   -53.45     0.58 S1)  ; 12
+        (  131.35     9.00   -53.45     0.58 S1)  ; 13
+        (  135.73     6.76   -54.60     0.58 S1)  ; 14
+        (  139.23     6.12   -56.28     0.58 S1)  ; 15
+        (  141.56     3.88   -57.35     0.58 S1)  ; 16
+        (  145.06     2.60   -57.57     0.58 S1)  ; 17
+        (  149.15     2.28   -58.13     0.58 S1)  ; 18
+        (  150.32     0.67   -53.35     0.58 S1)  ; 19
+        (  154.40    -0.29   -52.35     0.58 S1)  ; 20
+        (  157.90    -2.85   -51.65     0.58 S1)  ; 21
+        (  161.11    -2.85   -52.00     0.58 S1)  ; 22
+        (  164.32    -3.49   -50.30     0.58 S1)  ; 23
+        (  167.83    -3.81   -46.65     0.58 S1)  ; 24
+        (  169.58    -3.49   -46.00     0.58 S1)  ; 25
+        (  172.50    -4.77   -46.28     0.29 S1)  ; 26
+        (  175.41    -6.05   -49.35     0.29 S1)  ; 27
+        (  179.50    -6.69   -50.20     0.29 S1)  ; 28
+        (  184.46    -7.01   -51.00     0.29 S1)  ; 29
+        (  185.92    -8.29   -51.12     0.29 S1)  ; 30
+        (  189.13    -8.29   -51.12     0.29 S1)  ; 31
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+        (  194.97   -11.49   -53.25     0.29 S1)  ; 33
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+        (  218.89   -22.70   -56.32     0.29 S1)  ; 43
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+        (  227.36   -49.60   -43.95     0.29 S1)  ; 55
+
+        (Cross
+          (Color DarkRed)
+          (Name "Marker 3")
+          (   94.00    22.45   -43.45     0.58 S1)  ; 1
+          (   99.54    23.41   -44.10     0.58 S1)  ; 2
+        )  ;  End of markers
+
+        (Cross
+          (Color RGB (0, 128, 192))
+          (Name "Marker 3")
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+          (  221.81   -43.19   -51.65     0.29 S1)  ; 68
+        )  ;  End of markers
+         Normal
+      )  ;  End of split
+    )  ;  End of split
+  |
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+    (   78.81    19.98   -52.40     0.58 S1)  ; 2
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+    (  109.16    27.67   -51.65     0.29 S1)  ; 11
+    (  112.66    27.03   -49.70     0.58 S1)  ; 12
+    (  114.41    26.71   -49.70     0.58 S1)  ; 13
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+    (  175.03    53.83   -24.05     0.29 S1)  ; 41
+
+    (Cross
+      (Color DarkRed)
+      (Name "Marker 3")
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+      (  175.91    53.51   -24.05     0.29 S1)  ; 38
+    )  ;  End of markers
+     Normal
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color RGB (255, 128, 128))
+  (Dendrite)
+  (   54.86    18.70   -54.25     0.29 S1)  ; Root
+  (   55.74    18.06   -54.25     1.46 S1)  ; 1, R
+  (   57.49    18.70   -58.78     1.17 S1)  ; 2
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+  (   71.49    18.06   -70.00     1.17 S1)  ; 7
+  (   73.83    18.06   -70.85     1.17 S1)  ; 8
+  (
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+    (   76.72    15.66   -79.63     0.58 S1)  ; 2
+    (   77.89    14.06   -82.52     0.58 S1)  ; 3
+    (   78.47    11.82   -84.43     0.58 S1)  ; 4
+    (
+      (   80.22    11.18   -86.70     0.29 S1)  ; 1, R-1-1
+      (   81.68     9.26   -87.28     0.29 S1)  ; 2
+      (   83.43     8.94   -91.70     0.29 S1)  ; 3
+      (   85.48     8.30   -97.05     0.29 S1)  ; 4
+       Incomplete
+    |
+      (   78.18     9.58   -84.43     0.58 S1)  ; 1, R-1-2
+      (   79.06     7.34   -86.62     0.58 S1)  ; 2
+      (   79.35     5.10   -87.65     0.58 S1)  ; 3
+      (   79.06     2.21   -87.65     0.58 S1)  ; 4
+      (   79.06    -0.99   -88.20     0.29 S1)  ; 5
+      (   78.47    -4.83   -88.70     0.29 S1)  ; 6
+      (   79.06    -7.07   -89.35     0.29 S1)  ; 7
+      (   77.60    -8.67   -89.78     0.29 S1)  ; 8
+      (   77.30   -11.56   -91.95     0.29 S1)  ; 9
+      (   77.01   -15.40   -92.80     0.29 S1)  ; 10
+      (   77.60   -18.60   -92.90     0.29 S1)  ; 11
+      (   76.43   -21.80   -94.95     0.29 S1)  ; 12
+      (   77.01   -24.68   -96.60     0.29 S1)  ; 13
+      (   77.30   -27.89   -98.10     0.29 S1)  ; 14
+      (   78.76   -29.81  -100.10     0.29 S1)  ; 15
+      (   78.18   -31.73  -103.40     0.29 S1)  ; 16
+      (   79.64   -35.89  -106.57     0.29 S1)  ; 17
+      (   79.35   -39.09  -108.20     0.29 S1)  ; 18
+      (   80.51   -42.62  -110.52     0.29 S1)  ; 19
+      (   82.56   -45.82  -114.55     0.29 S1)  ; 20
+       High
+    )  ;  End of split
+  |
+    (   77.62    18.06   -66.90     0.88 S1)  ; 1, R-2
+    (   79.96    18.70   -67.85     0.88 S1)  ; 2
+    (
+      (   81.42    17.10   -67.85     0.88 S1)  ; 1, R-2-1
+      (   83.75    15.50   -68.13     0.88 S1)  ; 2
+      (   86.67    15.18   -68.50     0.88 S1)  ; 3
+      (   88.13    14.54   -68.65     0.88 S1)  ; 4
+      (   90.17    12.62   -69.05     0.88 S1)  ; 5
+      (   93.09    11.98   -72.10     0.88 S1)  ; 6
+      (   95.13    10.05   -73.40     0.88 S1)  ; 7
+      (   96.30     7.49   -74.70     0.88 S1)  ; 8
+      (   97.76     5.57   -75.45     0.88 S1)  ; 9
+      (   99.80     4.29   -76.17     0.88 S1)  ; 10
+      (
+        (  102.30     2.90   -76.17     0.58 S1)  ; 1, R-2-1-1
+        (  104.64     3.22   -79.47     0.58 S1)  ; 2
+        (  107.85     2.26   -79.47     0.29 S1)  ; 3
+        (  109.31     1.30   -81.75     0.29 S1)  ; 4
+        (  111.06     1.62   -83.80     0.29 S1)  ; 5
+        (  113.10     0.34   -81.53     0.29 S1)  ; 6
+        (  114.56    -0.94   -83.47     0.29 S1)  ; 7
+        (  116.60    -0.94   -83.97     0.29 S1)  ; 8
+        (  118.35    -1.91   -85.70     0.29 S1)  ; 9
+        (  120.40    -3.19   -88.75     0.29 S1)  ; 10
+        (  122.73    -4.47   -90.65     0.29 S1)  ; 11
+        (  125.06    -5.43   -92.50     0.29 S1)  ; 12
+        (  126.82    -6.39   -93.27     0.29 S1)  ; 13
+        (  129.73    -8.95   -94.43     0.29 S1)  ; 14
+        (  131.78   -10.87   -94.63     0.29 S1)  ; 15
+        (  133.24   -13.43   -94.95     0.29 S1)  ; 16
+        (  134.99   -15.67   -96.40     0.29 S1)  ; 17
+        (  137.90   -17.92   -96.93     0.29 S1)  ; 18
+        (  140.82   -20.48   -98.95     0.29 S1)  ; 19
+        (  143.74   -22.40  -100.47     0.29 S1)  ; 20
+        (  147.83   -22.72  -101.82     0.29 S1)  ; 21
+        (  151.62   -24.00  -101.93     0.29 S1)  ; 22
+        (  155.41   -24.00  -102.63     0.29 S1)  ; 23
+        (  158.04   -25.60  -100.92     0.29 S1)  ; 24
+        (  161.25   -27.52  -101.20     0.29 S1)  ; 25
+        (  164.17   -29.44   -97.13     0.29 S1)  ; 26
+        (  166.79   -30.72   -96.70     0.29 S1)  ; 27
+        (  169.71   -31.69   -94.97     0.29 S1)  ; 28
+        (  173.21   -33.29   -94.12     0.29 S1)  ; 29
+        (  175.26   -34.57   -94.05     0.29 S1)  ; 30
+        (  175.84   -35.85   -94.78     0.29 S1)  ; 31
+        (  176.72   -36.49   -94.25     0.29 S1)  ; 32
+        (  179.05   -36.81   -94.00     0.29 S1)  ; 33
+        (  181.09   -38.73   -93.13     0.29 S1)  ; 34
+        (  183.14   -41.29   -92.92     0.29 S1)  ; 35
+        (  184.30   -42.25   -97.52     0.29 S1)  ; 36
+        (  185.47   -43.85  -104.85     0.29 S1)  ; 37
+        (  187.81   -45.45  -107.17     0.29 S1)  ; 38
+        (  190.14   -47.38  -109.88     0.29 S1)  ; 39
+        (  191.31   -48.98  -115.25     0.29 S1)  ; 40
+        (  192.77   -50.58  -118.20     0.29 S1)  ; 41
+        (  195.10   -51.54  -122.38     0.29 S1)  ; 42
+         High
+      |
+        (  101.55     2.05   -76.17     0.58 S1)  ; 1, R-2-1-2
+        (  103.01    -0.19   -76.72     0.58 S1)  ; 2
+        (  104.76    -2.11   -73.47     0.58 S1)  ; 3
+        (  105.35    -4.68   -73.15     0.58 S1)  ; 4
+        (  107.97    -7.24   -72.90     0.58 S1)  ; 5
+        (  109.43    -8.84   -71.30     0.58 S1)  ; 6
+        (  111.77   -12.36   -68.82     0.58 S1)  ; 7
+        (  112.93   -14.60   -66.00     0.58 S1)  ; 8
+        (  113.81   -16.84   -64.32     0.58 S1)  ; 9
+        (  114.98   -19.73   -62.95     0.58 S1)  ; 10
+        (  117.89   -21.97   -62.42     0.58 S1)  ; 11
+        (  120.81   -23.89   -65.92     0.58 S1)  ; 12
+        (  123.44   -25.17   -66.03     0.58 S1)  ; 13
+        (  124.77   -27.20   -67.60     0.58 S1)  ; 14
+        (  127.11   -29.76   -67.82     0.58 S1)  ; 15
+        (  130.03   -31.36   -69.20     0.58 S1)  ; 16
+        (  131.78   -32.33   -66.80     0.58 S1)  ; 17
+        (  134.40   -32.33   -64.02     0.58 S1)  ; 18
+        (  136.74   -32.97   -63.00     0.58 S1)  ; 19
+        (  137.90   -34.57   -62.65     0.58 S1)  ; 20
+        (  139.07   -35.85   -62.33     0.58 S1)  ; 21
+        (  141.41   -37.45   -61.90     0.58 S1)  ; 22
+        (  143.74   -39.37   -61.70     0.58 S1)  ; 23
+        (  146.66   -41.93   -61.42     0.58 S1)  ; 24
+        (  149.87   -43.85   -65.45     0.58 S1)  ; 25
+        (  152.20   -45.13   -64.22     0.58 S1)  ; 26
+        (  153.95   -46.41   -62.77     0.58 S1)  ; 27
+        (  155.71   -47.38   -61.28     0.58 S1)  ; 28
+        (  158.04   -48.66   -58.90     0.29 S1)  ; 29
+        (  161.54   -49.62   -57.17     0.29 S1)  ; 30
+        (  162.71   -50.58   -55.05     0.29 S1)  ; 31
+        (  162.71   -52.18   -53.80     0.29 S1)  ; 32
+        (  163.00   -54.42   -52.13     0.29 S1)  ; 33
+        (  162.71   -55.38   -50.83     0.29 S1)  ; 34
+        (  160.96   -56.34   -49.25     0.29 S1)  ; 35
+        (  160.96   -57.94   -48.72     0.29 S1)  ; 36
+        (  161.54   -59.22   -47.42     0.29 S1)  ; 37
+        (  160.67   -59.86   -46.25     0.29 S1)  ; 38
+        (  161.25   -61.79   -44.78     0.29 S1)  ; 39
+        (  162.42   -62.75   -42.80     0.29 S1)  ; 40
+        (  163.58   -64.03   -40.92     0.29 S1)  ; 41
+        (  163.58   -65.95   -40.13     0.29 S1)  ; 42
+        (  162.42   -67.23   -38.47     0.29 S1)  ; 43
+        (  163.00   -68.51   -37.60     0.29 S1)  ; 44
+        (  163.88   -69.79   -36.58     0.29 S1)  ; 45
+         Normal
+      )  ;  End of split
+    |
+      (   83.17    20.30   -67.85     0.58 S1)  ; 1, R-2-2
+      (   83.75    21.90   -70.97     0.58 S1)  ; 2
+      (   84.33    23.18   -74.55     0.58 S1)  ; 3
+      (   86.38    24.78   -73.38     0.58 S1)  ; 4
+      (   89.30    27.35   -78.32     0.58 S1)  ; 5
+      (   91.63    29.59   -79.82     0.29 S1)  ; 6
+      (   92.80    32.15   -80.70     0.29 S1)  ; 7
+      (   94.55    33.43   -84.03     0.29 S1)  ; 8
+      (   97.76    34.71   -84.20     0.29 S1)  ; 9
+      (  100.38    36.31   -86.15     0.29 S1)  ; 10
+      (  103.01    38.23   -88.65     0.29 S1)  ; 11
+      (  104.76    39.51   -89.97     0.29 S1)  ; 12
+       Incomplete
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color RGB (128, 128, 255))
+  (Dendrite)
+  (   56.26    15.85   -50.25     1.46 S1)  ; Root
+  (   58.30    15.21   -47.53     1.46 S1)  ; 1, R
+  (   61.22    14.25   -44.35     1.46 S1)  ; 2
+  (   63.84    12.97   -43.82     1.46 S1)  ; 3
+
+  (Cross
+    (Color Green)
+    (Name "Marker 3")
+    (   59.39    13.50   -47.36     0.07 S1)  ; 1
+    (   62.18    12.91   -45.79     0.07 S1)  ; 2
+    (   62.84    14.38   -45.79     0.07 S1)  ; 3
+  )  ;  End of markers
+  (
+    (   66.06    11.31   -42.98     1.17 S1)  ; 1, R-1
+    (   68.40    10.67   -43.22     1.17 S1)  ; 2
+    (   69.56    10.99   -41.93     1.17 S1)  ; 3
+    (
+      (   71.52    10.35   -34.17     1.17 S1)  ; 1, R-1-1
+      (   71.81     9.39   -28.47     0.88 S1)  ; 2
+      (   69.48     9.39   -27.05     0.88 S1)  ; 3
+      (   68.02     8.75   -24.85     0.88 S1)  ; 4
+      (   66.85     8.11   -23.02     0.88 S1)  ; 5
+      (   66.27     9.07   -21.38     0.88 S1)  ; 6
+      (   65.98     7.79   -19.15     0.88 S1)  ; 7
+      (   66.85     7.47   -15.80     0.88 S1)  ; 8
+      (   65.68     8.11   -15.12     0.88 S1)  ; 9
+      (   64.22     7.47   -13.80     0.88 S1)  ; 10
+      (   63.64     5.87    -7.25     0.88 S1)  ; 11
+      (
+        (   60.72     7.47    -7.25     0.58 S1)  ; 1, R-1-1-1
+        (   58.97     8.43    -5.27     0.58 S1)  ; 2
+        (   56.93     9.07    -3.92     0.58 S1)  ; 3
+        (   56.64    10.67    -2.13     0.58 S1)  ; 4
+        (   55.18    10.35     0.22     0.58 S1)  ; 5
+        (   54.30    11.63     1.05     0.58 S1)  ; 6
+        (   53.72    13.23     2.70     0.58 S1)  ; 7
+        (   54.89    14.19     3.47     0.58 S1)  ; 8
+        (   54.01    14.51     4.65     0.58 S1)  ; 9
+        (   52.84    15.79     6.35     0.58 S1)  ; 10
+        (   51.38    15.15     7.25     0.58 S1)  ; 11
+        (   50.22    13.87     7.45     0.58 S1)  ; 12
+        (   48.17    13.55     7.63     0.58 S1)  ; 13
+         Normal
+      |
+        (   64.81     4.59    -7.45     0.58 S1)  ; 1, R-1-1-2
+        (
+          (   64.52     2.99    -7.45     0.58 S1)  ; 1, R-1-1-2-1
+          (   66.56     2.34    -6.47     0.29 S1)  ; 2
+          (   67.14     1.06    -5.63     0.29 S1)  ; 3
+          (   67.73     0.42    -0.63     0.29 S1)  ; 4
+          (   66.56    -0.22    -0.40     0.29 S1)  ; 5
+          (   66.85    -2.46     0.85     0.29 S1)  ; 6
+          (   68.02    -3.74     2.00     0.29 S1)  ; 7
+          (   68.89    -2.46     3.90     0.29 S1)  ; 8
+          (   70.64    -2.78     5.95     0.29 S1)  ; 9
+          (   70.35    -5.02     6.73     0.29 S1)  ; 10
+           Normal
+        |
+          (   67.14     3.95    -7.45     0.58 S1)  ; 1, R-1-1-2-2
+          (   67.73     4.59    -6.85     0.58 S1)  ; 2
+          (   68.02     6.51    -6.78     0.29 S1)  ; 3
+          (   70.35     5.87    -5.72     0.29 S1)  ; 4
+          (   72.98     6.83    -4.82     0.29 S1)  ; 5
+          (   74.73     8.11    -4.27     0.29 S1)  ; 6
+          (   76.77     8.43    -3.32     0.29 S1)  ; 7
+          (   78.52     9.07    -2.10     0.29 S1)  ; 8
+          (   81.44     8.75    -1.13     0.29 S1)  ; 9
+          (   84.65     8.75    -0.37     0.29 S1)  ; 10
+          (   86.11     9.39     1.05     0.29 S1)  ; 11
+          (   85.53    10.35     3.57     0.29 S1)  ; 12
+          (   86.11    11.63     6.13     0.29 S1)  ; 13
+          (   86.69    13.55     7.25     0.29 S1)  ; 14
+          (   89.61    14.51     8.40     0.29 S1)  ; 15
+          (   92.82    16.43     9.27     0.29 S1)  ; 16
+          (   96.03    18.04     9.90     0.29 S1)  ; 17
+          (
+            (   95.74    19.64     9.90     0.29 S1)  ; 1, R-1-1-2-2-1
+            (   96.32    20.92    10.80     0.29 S1)  ; 2
+            (   96.32    22.20    11.65     0.29 S1)  ; 3
+             Normal
+          |
+            (   97.20    16.11     6.15     0.29 S1)  ; 1, R-1-1-2-2-2
+            (   98.95    14.83     6.85     0.29 S1)  ; 2
+            (  100.70    13.87     5.80     0.29 S1)  ; 3
+            (  101.58    12.59     3.05     0.29 S1)  ; 4
+            (  102.74    10.99     1.90     0.29 S1)  ; 5
+             Normal
+          )  ;  End of split
+        )  ;  End of split
+      )  ;  End of split
+    |
+      (   71.02     9.39   -41.17     1.17 S1)  ; 1, R-1-2
+      (   71.32     7.79   -37.83     1.17 S1)  ; 2
+      (   69.86     5.55   -37.20     1.17 S1)  ; 3
+      (   69.86     2.99   -36.33     1.17 S1)  ; 4
+      (   71.90     0.74   -35.88     1.17 S1)  ; 5
+      (   71.90    -1.50   -32.08     1.17 S1)  ; 6
+      (   73.07    -4.06   -31.15     1.17 S1)  ; 7
+      (   74.23    -5.98   -30.10     1.17 S1)  ; 8
+      (   74.23    -8.22   -29.35     1.17 S1)  ; 9
+      (   74.23    -9.50   -29.10     1.17 S1)  ; 10
+
+      (Cross
+        (Color Green)
+        (Name "Marker 3")
+        (   71.80     8.46   -37.81     0.07 S1)  ; 1
+        (   69.96     7.43   -37.05     0.07 S1)  ; 2
+        (   69.08     4.93   -36.59     0.07 S1)  ; 3
+        (   71.21     6.11   -36.59     0.07 S1)  ; 4
+        (   68.86     3.09   -36.59     0.07 S1)  ; 5
+        (   70.55     4.34   -35.59     0.07 S1)  ; 6
+        (   70.11     0.96   -33.89     0.07 S1)  ; 7
+        (   73.71    -0.95   -33.11     0.07 S1)  ; 8
+        (   70.40    -0.95   -33.11     0.07 S1)  ; 9
+        (   75.91    -6.91   -32.30     0.07 S1)  ; 10
+        (   76.64    -5.95   -32.30     0.07 S1)  ; 11
+        (   75.69    -5.58   -32.30     0.07 S1)  ; 12
+        (   72.75    -7.72   -31.81     0.07 S1)  ; 13
+        (   73.04    -6.32   -31.95     0.07 S1)  ; 14
+        (   72.97    -4.85   -31.38     0.07 S1)  ; 15
+        (   74.37    -4.92   -30.13     0.07 S1)  ; 16
+        (   75.10    -5.95   -29.41     0.07 S1)  ; 17
+        (   75.10    -8.23   -29.41     0.07 S1)  ; 18
+      )  ;  End of markers
+      (
+        (   71.81   -12.71   -29.58     0.88 S1)  ; 1, R-1-2-1
+        (   70.94   -15.59   -26.55     0.88 S1)  ; 2
+        (   70.06   -17.19   -25.97     0.88 S1)  ; 3
+        (   69.77   -19.75   -25.40     0.88 S1)  ; 4
+        (   68.60   -21.35   -24.15     0.88 S1)  ; 5
+        (   65.10   -21.03   -22.73     0.88 S1)  ; 6
+        (   61.89   -22.31   -21.02     0.88 S1)  ; 7
+        (   59.85   -24.55   -19.90     0.88 S1)  ; 8
+        (   58.68   -26.47   -19.23     0.88 S1)  ; 9
+        (   58.10   -28.40   -17.63     0.88 S1)  ; 10
+        (   58.39   -29.68   -17.15     0.88 S1)  ; 11
+
+        (Cross
+          (Color Green)
+          (Name "Marker 3")
+          (   71.52    -9.91   -30.11     0.07 S1)  ; 1
+          (   73.65   -11.53   -30.56     0.07 S1)  ; 2
+          (   73.35   -12.92   -28.92     0.07 S1)  ; 3
+          (   72.32   -11.01   -28.05     0.07 S1)  ; 4
+          (   72.47   -15.65   -27.51     0.07 S1)  ; 5
+          (   70.85   -16.38   -26.70     0.07 S1)  ; 6
+          (   70.85   -14.69   -26.70     0.07 S1)  ; 7
+          (   72.54   -15.06   -26.44     0.07 S1)  ; 8
+          (   68.94   -18.15   -24.84     0.07 S1)  ; 9
+          (   70.27   -15.20   -24.84     0.07 S1)  ; 10
+          (   70.56   -20.06   -24.84     0.07 S1)  ; 11
+          (   70.85   -18.73   -23.47     0.07 S1)  ; 12
+          (   69.09   -21.53   -23.89     0.07 S1)  ; 13
+          (   68.58   -22.26   -22.70     0.07 S1)  ; 14
+          (   64.68   -23.07   -23.52     0.07 S1)  ; 15
+          (   64.91   -20.87   -22.32     0.07 S1)  ; 16
+          (   63.66   -20.28   -21.36     0.07 S1)  ; 17
+          (   64.24   -19.76   -21.36     0.07 S1)  ; 18
+          (   67.70   -20.72   -21.36     0.07 S1)  ; 19
+          (   62.04   -21.31   -21.36     0.07 S1)  ; 20
+          (   64.46   -21.90   -20.09     0.07 S1)  ; 21
+          (   61.01   -25.28   -20.09     0.07 S1)  ; 22
+          (   59.18   -22.34   -19.88     0.07 S1)  ; 23
+          (   62.78   -22.56   -19.04     0.07 S1)  ; 24
+          (   64.02   -23.29   -19.04     0.07 S1)  ; 25
+          (   61.09   -22.04   -19.04     0.07 S1)  ; 26
+          (   59.40   -26.75   -18.48     0.07 S1)  ; 27
+          (   57.71   -25.28   -18.48     0.07 S1)  ; 28
+          (   59.69   -28.81   -18.48     0.07 S1)  ; 29
+          (   58.96   -25.50   -18.30     0.07 S1)  ; 30
+          (   60.50   -23.14   -19.38     0.07 S1)  ; 31
+        )  ;  End of markers
+        (
+          (   55.18   -31.98   -16.92     0.88 S1)  ; 1, R-1-2-1-1
+          (   54.30   -33.26   -14.65     0.88 S1)  ; 2
+          (   54.01   -34.54   -12.05     0.88 S1)  ; 3
+          (   51.97   -36.14   -10.57     0.58 S1)  ; 4
+          (   50.80   -37.75   -10.25     0.58 S1)  ; 5
+          (   49.93   -39.03    -9.98     0.58 S1)  ; 6
+          (   47.01   -41.27    -9.52     0.58 S1)  ; 7
+          (   44.96   -44.15    -9.02     0.58 S1)  ; 8
+          (   43.51   -46.07    -8.25     0.58 S1)  ; 9
+          (   41.46   -46.71    -7.32     0.58 S1)  ; 10
+          (   39.13   -47.35    -5.97     0.58 S1)  ; 11
+          (   38.54   -48.95    -5.42     0.58 S1)  ; 12
+          (   36.79   -49.59    -3.85     0.58 S1)  ; 13
+          (   34.75   -49.91    -2.95     0.58 S1)  ; 14
+          (   33.29   -50.87    -1.05     0.58 S1)  ; 15
+          (   33.29   -51.84    -0.50     0.58 S1)  ; 16
+          (   34.17   -52.80     0.47     0.58 S1)  ; 17
+          (   35.04   -53.76     1.88     0.58 S1)  ; 18
+          (   35.92   -56.32     3.32     0.58 S1)  ; 19
+          (   36.50   -58.56     4.80     0.58 S1)  ; 20
+          (   37.67   -60.16     5.95     0.58 S1)  ; 21
+          (   38.25   -62.72     7.30     0.58 S1)  ; 22
+          (   37.67   -64.32     7.87     0.58 S1)  ; 23
+          (   36.79   -63.36     8.25     0.58 S1)  ; 24
+          (   37.67   -61.76     8.60     0.58 S1)  ; 25
+          (   39.13   -62.08    10.07     0.58 S1)  ; 26
+          (   40.59   -62.08    10.77     0.58 S1)  ; 27
+          (   41.46   -60.16    11.42     0.58 S1)  ; 28
+          (   41.17   -58.56    12.20     0.29 S1)  ; 29
+           Normal
+        |
+          (   59.56   -32.62   -17.25     0.88 S1)  ; 1, R-1-2-1-2
+          (   60.43   -35.18   -16.52     0.88 S1)  ; 2
+          (   59.26   -38.07   -16.35     0.88 S1)  ; 3
+          (   60.14   -40.63   -20.57     0.88 S1)  ; 4
+          (   59.56   -42.55   -24.67     0.88 S1)  ; 5
+          (   58.68   -44.15   -27.10     0.88 S1)  ; 6
+          (   58.97   -47.67   -27.38     0.88 S1)  ; 7
+          (   58.10   -49.27   -24.32     0.88 S1)  ; 8
+          (   57.51   -51.19   -21.72     0.88 S1)  ; 9
+          (   58.68   -53.76   -20.30     0.88 S1)  ; 10
+          (   58.97   -56.32   -19.55     0.88 S1)  ; 11
+          (   60.14   -59.84   -23.15     0.88 S1)  ; 12
+          (   61.01   -61.44   -25.50     0.88 S1)  ; 13
+          (   62.18   -63.68   -27.38     0.88 S1)  ; 14
+          (   62.18   -67.53   -27.80     0.88 S1)  ; 15
+          (   60.72   -70.09   -27.80     0.88 S1)  ; 16
+          (   61.01   -72.97   -28.00     0.88 S1)  ; 17
+          (   59.56   -74.89   -25.52     0.88 S1)  ; 18
+          (   57.51   -77.77   -24.70     0.58 S1)  ; 19
+          (   57.80   -81.62   -24.38     0.58 S1)  ; 20
+          (   58.97   -84.50   -20.45     0.58 S1)  ; 21
+          (   59.56   -86.10   -17.98     0.58 S1)  ; 22
+          (   58.10   -88.02   -15.68     0.58 S1)  ; 23
+          (   58.39   -91.22   -14.80     0.58 S1)  ; 24
+          (   55.47   -93.46   -14.15     0.58 S1)  ; 25
+          (   55.76   -96.99   -12.67     0.58 S1)  ; 26
+          (   56.35   -99.23   -11.32     0.58 S1)  ; 27
+          (   56.05  -100.83   -15.10     0.58 S1)  ; 28
+          (   56.05  -101.79   -18.60     0.58 S1)  ; 29
+          (   55.47  -104.03   -20.77     0.58 S1)  ; 30
+          (   55.18  -105.95   -20.95     0.58 S1)  ; 31
+          (   55.18  -108.83   -21.85     0.58 S1)  ; 32
+          (   54.01  -110.75   -23.42     0.58 S1)  ; 33
+          (   51.68  -111.46   -23.42     0.29 S1)  ; 34
+          (   50.22  -114.66   -23.45     0.29 S1)  ; 35
+          (   50.51  -116.90   -23.15     0.29 S1)  ; 36
+          (   50.22  -120.10   -21.25     0.29 S1)  ; 37
+          (   49.93  -123.63   -21.15     0.29 S1)  ; 38
+          (   49.34  -126.19   -21.10     0.29 S1)  ; 39
+          (   49.34  -128.75   -20.97     0.29 S1)  ; 40
+          (   49.63  -132.27   -20.83     0.29 S1)  ; 41
+          (   50.51  -133.55   -20.65     0.29 S1)  ; 42
+          (   50.80  -135.79   -20.45     0.29 S1)  ; 43
+          (   49.63  -139.32   -20.23     0.29 S1)  ; 44
+          (   50.22  -142.20   -20.05     0.29 S1)  ; 45
+          (   48.76  -143.80   -19.77     0.29 S1)  ; 46
+          (   48.76  -145.72   -19.07     0.29 S1)  ; 47
+          (   49.63  -147.96   -18.77     0.29 S1)  ; 48
+          (   48.76  -149.88   -23.90     0.29 S1)  ; 49
+          (   48.47  -151.81   -25.40     0.29 S1)  ; 50
+          (   48.76  -154.69   -26.20     0.29 S1)  ; 51
+          (   49.05  -157.25   -26.88     0.29 S1)  ; 52
+          (   49.93  -159.49   -27.47     0.29 S1)  ; 53
+          (   49.93  -162.05   -26.88     0.29 S1)  ; 54
+          (   50.80  -163.33   -26.42     0.29 S1)  ; 55
+
+          (Cross
+            (Color Green)
+            (Name "Marker 3")
+            (   60.06   -30.55   -16.91     0.07 S1)  ; 1
+            (   58.22   -33.63   -17.42     0.07 S1)  ; 2
+            (   58.66   -34.81   -17.42     0.07 S1)  ; 3
+            (   60.13   -32.16   -17.34     0.07 S1)  ; 4
+            (   60.87   -34.00   -16.95     0.07 S1)  ; 5
+            (   61.31   -35.32   -17.95     0.07 S1)  ; 6
+            (   60.87   -38.63   -17.95     0.07 S1)  ; 7
+            (   58.74   -37.53   -17.30     0.07 S1)  ; 8
+            (   57.71   -38.19   -17.08     0.07 S1)  ; 9
+            (   60.35   -37.16   -16.10     0.07 S1)  ; 10
+            (   60.50   -37.75   -16.10     0.07 S1)  ; 11
+            (   60.35   -41.65   -17.35     0.07 S1)  ; 12
+            (   58.37   -41.43   -19.23     0.07 S1)  ; 13
+            (   58.15   -39.07   -19.23     0.07 S1)  ; 14
+            (   60.94   -40.91   -21.63     0.07 S1)  ; 15
+            (   59.10   -46.50   -18.02     0.07 S1)  ; 16
+            (   60.13   -45.54   -18.02     0.07 S1)  ; 17
+            (   58.07   -45.40   -18.02     0.07 S1)  ; 18
+            (   60.79   -44.37   -19.23     0.07 S1)  ; 19
+            (   57.27   -47.31   -19.23     0.07 S1)  ; 20
+            (   57.85   -48.34   -20.27     0.07 S1)  ; 21
+            (   59.03   -49.29   -20.27     0.07 S1)  ; 22
+            (   57.27   -49.59   -20.27     0.07 S1)  ; 23
+            (   60.06   -42.97   -21.63     0.07 S1)  ; 24
+            (   59.40   -44.30   -21.63     0.07 S1)  ; 25
+            (   58.15   -43.85   -21.63     0.07 S1)  ; 26
+            (   59.98   -54.09   -17.57     0.07 S1)  ; 27
+            (   58.00   -54.09   -17.45     0.07 S1)  ; 28
+            (   57.78   -55.86   -17.45     0.07 S1)  ; 29
+            (   60.42   -54.97   -18.40     0.07 S1)  ; 30
+            (   60.42   -56.81   -18.40     0.07 S1)  ; 31
+            (   57.49   -54.61   -19.44     0.07 S1)  ; 32
+            (   61.16   -60.12   -19.29     0.07 S1)  ; 33
+            (   59.54   -61.67   -20.24     0.07 S1)  ; 34
+            (   60.20   -58.36   -20.84     0.07 S1)  ; 35
+            (   58.66   -60.64   -20.84     0.07 S1)  ; 36
+            (   58.66   -57.25   -20.84     0.07 S1)  ; 37
+            (   58.96   -59.02   -20.84     0.07 S1)  ; 38
+            (   62.63   -62.11   -22.11     0.07 S1)  ; 39
+            (   61.53   -60.93   -23.36     0.07 S1)  ; 40
+            (   63.00   -62.99   -23.36     0.07 S1)  ; 41
+            (   63.88   -64.02   -24.21     0.07 S1)  ; 42
+            (   61.01   -65.05   -24.45     0.07 S1)  ; 43
+            (   63.36   -67.55   -22.66     0.07 S1)  ; 44
+            (   63.00   -66.08   -22.66     0.07 S1)  ; 45
+            (   64.46   -64.90   -20.95     0.07 S1)  ; 46
+            (   61.45   -67.03   -20.95     0.07 S1)  ; 47
+            (   58.88   -52.33   -17.57     0.07 S1)  ; 48
+            (   56.90   -51.37   -17.57     0.07 S1)  ; 49
+            (   59.84   -70.49   -23.84     0.07 S1)  ; 50
+            (   60.20   -69.02   -23.84     0.07 S1)  ; 51
+            (   61.75   -74.16   -23.84     0.07 S1)  ; 52
+            (   62.92   -71.44   -22.34     0.07 S1)  ; 53
+            (   60.28   -71.52   -22.34     0.07 S1)  ; 54
+            (   62.33   -73.21   -21.74     0.07 S1)  ; 55
+            (   59.62   -76.88   -21.90     0.07 S1)  ; 56
+            (   59.32   -80.26   -21.90     0.07 S1)  ; 57
+            (   56.02   -80.26   -21.90     0.07 S1)  ; 58
+            (   57.34   -85.04   -21.72     0.07 S1)  ; 59
+            (   56.75   -79.01   -20.95     0.07 S1)  ; 60
+            (   56.83   -77.98   -20.95     0.07 S1)  ; 61
+            (   58.88   -78.05   -20.95     0.07 S1)  ; 62
+            (   59.62   -75.63   -20.95     0.07 S1)  ; 63
+            (   59.40   -83.05   -20.00     0.07 S1)  ; 64
+            (   58.66   -74.82   -20.75     0.07 S1)  ; 65
+            (   61.09   -86.66   -19.65     0.07 S1)  ; 66
+            (   59.84   -84.30   -19.65     0.07 S1)  ; 67
+            (   57.78   -85.63   -17.79     0.07 S1)  ; 68
+            (   60.06   -88.05   -16.55     0.07 S1)  ; 69
+            (   59.03   -87.83   -15.60     0.07 S1)  ; 70
+            (   59.76   -89.67   -18.99     0.07 S1)  ; 71
+            (   57.05   -89.52   -17.79     0.07 S1)  ; 72
+            (   60.13   -92.54   -16.55     0.07 S1)  ; 73
+            (   58.96   -90.19   -15.60     0.07 S1)  ; 74
+            (   56.16   -92.19   -20.61     0.07 S1)  ; 75
+            (   57.34   -99.54   -19.89     0.07 S1)  ; 76
+            (   55.28   -96.67   -19.89     0.07 S1)  ; 77
+            (   53.81   -93.58   -18.77     0.07 S1)  ; 78
+            (   57.49   -94.61   -18.77     0.07 S1)  ; 79
+            (   54.99   -95.94   -18.77     0.07 S1)  ; 80
+            (   56.90   -97.48   -18.77     0.07 S1)  ; 81
+            (   53.52   -99.69   -20.42     0.07 S1)  ; 82
+            (   57.78  -102.26   -20.42     0.07 S1)  ; 83
+            (   54.33  -101.60   -21.38     0.07 S1)  ; 84
+            (   56.02  -103.58   -21.38     0.07 S1)  ; 85
+            (   57.34  -105.72   -22.12     0.07 S1)  ; 86
+            (   57.34  -104.69   -22.12     0.07 S1)  ; 87
+            (   57.34  -103.80   -22.12     0.07 S1)  ; 88
+            (   58.37  -106.38   -22.12     0.07 S1)  ; 89
+            (   54.70  -103.66   -22.12     0.07 S1)  ; 90
+            (   56.31  -105.13   -19.42     0.07 S1)  ; 91
+            (   54.48  -105.64   -19.42     0.07 S1)  ; 92
+            (   56.97   -96.38   -18.46     0.07 S1)  ; 93
+            (   55.94  -106.75   -23.34     0.07 S1)  ; 94
+            (   56.53  -108.66   -20.60     0.07 S1)  ; 95
+            (   55.43  -109.17   -20.60     0.07 S1)  ; 96
+            (   54.70  -108.29   -20.60     0.07 S1)  ; 97
+            (   54.11  -109.47   -20.60     0.07 S1)  ; 98
+            (   51.68  -109.67   -24.39     0.07 S1)  ; 99
+            (   52.27  -110.63   -23.42     0.07 S1)  ; 100
+            (   49.63  -113.71   -23.89     0.07 S1)  ; 101
+            (   52.86  -108.57   -23.51     0.07 S1)  ; 102
+            (   49.11  -116.58   -24.44     0.07 S1)  ; 103
+            (   49.11  -115.26   -24.06     0.07 S1)  ; 104
+            (   52.56  -119.67   -24.01     0.07 S1)  ; 105
+            (   51.83  -120.18   -23.13     0.07 S1)  ; 106
+            (   49.63  -120.62   -23.13     0.07 S1)  ; 107
+            (   49.70  -119.30   -23.72     0.07 S1)  ; 108
+            (   50.88  -117.24   -23.72     0.07 S1)  ; 109
+            (   51.54  -119.52   -24.56     0.07 S1)  ; 110
+            (   50.95  -122.02   -25.26     0.07 S1)  ; 111
+            (   50.66  -124.89   -24.55     0.07 S1)  ; 112
+            (   48.82  -126.21   -24.55     0.07 S1)  ; 113
+            (   49.99  -129.01   -24.55     0.07 S1)  ; 114
+            (   51.32  -125.18   -23.17     0.07 S1)  ; 115
+            (   49.70  -127.17   -23.17     0.07 S1)  ; 116
+            (   48.23  -126.95   -23.17     0.07 S1)  ; 117
+            (   50.66  -123.64   -23.29     0.07 S1)  ; 118
+            (   49.99  -125.99   -26.42     0.07 S1)  ; 119
+            (   49.63  -129.45   -25.33     0.07 S1)  ; 120
+            (   50.58  -132.02   -25.33     0.07 S1)  ; 121
+            (   48.75  -133.12   -25.33     0.07 S1)  ; 122
+            (   52.71  -135.92   -25.07     0.07 S1)  ; 123
+            (   48.82  -134.30   -25.07     0.07 S1)  ; 124
+            (   50.14  -135.74   -20.39     0.07 S1)  ; 125
+            (   50.80  -137.87   -20.39     0.07 S1)  ; 126
+            (   51.90  -137.21   -20.39     0.07 S1)  ; 127
+            (   49.04  -138.39   -20.39     0.07 S1)  ; 128
+            (   49.04  -138.83   -20.39     0.07 S1)  ; 129
+            (   49.33  -139.86   -20.39     0.07 S1)  ; 130
+            (   51.32  -140.30   -20.39     0.07 S1)  ; 131
+            (   51.17  -142.95   -19.84     0.07 S1)  ; 132
+            (   51.61  -142.29   -19.84     0.07 S1)  ; 133
+            (   47.42  -143.09   -19.84     0.07 S1)  ; 134
+            (   49.77  -145.45   -18.10     0.07 S1)  ; 135
+            (   49.11  -142.36   -18.10     0.07 S1)  ; 136
+            (   48.89  -148.24   -20.44     0.07 S1)  ; 137
+            (   50.21  -148.54   -21.29     0.07 S1)  ; 138
+            (   50.21  -151.77   -22.15     0.07 S1)  ; 139
+            (   47.86  -151.99   -22.15     0.07 S1)  ; 140
+            (   49.99  -156.33   -23.01     0.07 S1)  ; 141
+            (   48.53  -158.39   -23.01     0.07 S1)  ; 142
+            (   47.42  -154.71   -23.01     0.07 S1)  ; 143
+            (   49.99  -158.83   -24.35     0.07 S1)  ; 144
+            (   48.53  -156.18   -24.35     0.07 S1)  ; 145
+            (   49.04  -163.61   -24.35     0.07 S1)  ; 146
+            (   52.34  -163.53   -25.81     0.07 S1)  ; 147
+            (   49.48  -163.02   -25.81     0.07 S1)  ; 148
+            (   49.11  -162.28   -25.81     0.07 S1)  ; 149
+            (   51.32  -159.49   -25.81     0.07 S1)  ; 150
+            (   49.63  -160.15   -24.84     0.07 S1)  ; 151
+            (   52.56  -164.34   -26.05     0.07 S1)  ; 152
+            (   49.77  -154.64   -21.00     0.07 S1)  ; 153
+            (   48.23  -154.86   -22.43     0.07 S1)  ; 154
+            (   47.86  -150.23   -21.74     0.07 S1)  ; 155
+          )  ;  End of markers
+           Normal
+        )  ;  End of split
+      |
+        (   75.98   -11.42   -29.10     0.88 S1)  ; 1, R-1-2-2
+        (   77.74   -13.03   -28.17     0.88 S1)  ; 2
+        (   78.03   -15.59   -28.47     0.88 S1)  ; 3
+        (   78.90   -19.11   -28.25     0.88 S1)  ; 4
+        (   81.24   -21.35   -29.72     0.88 S1)  ; 5
+        (   82.70   -22.95   -31.20     0.88 S1)  ; 6
+        (   83.57   -25.51   -33.05     0.88 S1)  ; 7
+        (   84.45   -26.15   -34.60     0.88 S1)  ; 8
+        (
+          (   83.19   -29.04   -35.97     0.58 S1)  ; 1, R-1-2-2-1
+          (   84.07   -30.64   -36.15     0.58 S1)  ; 2
+          (   85.82   -32.56   -33.03     0.58 S1)  ; 3
+          (   87.28   -34.16   -34.45     0.58 S1)  ; 4
+          (   88.15   -36.08   -36.82     0.58 S1)  ; 5
+          (   89.03   -38.32   -38.22     0.58 S1)  ; 6
+          (   90.78   -40.24   -40.80     0.58 S1)  ; 7
+          (   92.82   -40.88   -41.60     0.88 S1)  ; 8
+          (   92.82   -41.20   -41.60     0.88 S1)  ; 9
+          (
+            (   94.57   -41.20   -41.60     0.29 S1)  ; 1, R-1-2-2-1-1
+            (   96.91   -42.81   -43.55     0.29 S1)  ; 2
+            (   98.95   -43.77   -46.00     0.29 S1)  ; 3
+            (  100.41   -45.37   -48.42     0.29 S1)  ; 4
+            (  101.58   -47.29   -50.13     0.29 S1)  ; 5
+            (  103.04   -49.53   -52.25     0.29 S1)  ; 6
+            (  104.79   -50.49   -53.45     0.29 S1)  ; 7
+            (  107.41   -51.45   -53.72     0.29 S1)  ; 8
+            (  108.87   -53.37   -51.60     0.29 S1)  ; 9
+            (  110.91   -56.25   -52.13     0.29 S1)  ; 10
+            (  113.83   -58.18   -52.60     0.29 S1)  ; 11
+            (  116.75   -59.14   -53.65     0.29 S1)  ; 12
+            (  119.09   -60.10   -54.83     0.29 S1)  ; 13
+            (  120.54   -62.02   -55.27     0.29 S1)  ; 14
+            (  122.59   -64.90   -57.20     0.29 S1)  ; 15
+            (  124.34   -66.50   -59.02     0.29 S1)  ; 16
+            (  125.51   -67.46   -62.35     0.29 S1)  ; 17
+            (  125.80   -68.42   -65.10     0.29 S1)  ; 18
+            (  123.46   -69.38   -65.55     0.29 S1)  ; 19
+            (  121.71   -70.98   -66.32     0.29 S1)  ; 20
+            (  119.96   -72.91   -68.05     0.29 S1)  ; 21
+            (  118.21   -76.11   -69.50     0.29 S1)  ; 22
+            (  117.63   -78.99   -68.28     0.29 S1)  ; 23
+            (  117.63   -81.23   -69.05     0.29 S1)  ; 24
+            (  116.46   -82.83   -70.45     0.29 S1)  ; 25
+            (  116.46   -85.39   -71.97     0.29 S1)  ; 26
+            (  116.46   -87.31   -75.80     0.29 S1)  ; 27
+            (  116.75   -89.24   -77.95     0.29 S1)  ; 28
+            (  117.92   -87.06   -77.13     0.29 S1)  ; 29
+            (  118.79   -85.78   -81.85     0.29 S1)  ; 30
+             Normal
+          |
+            (   96.03   -43.13   -39.52     0.88 S1)  ; 1, R-1-2-2-1-2
+            (   96.32   -43.13   -39.52     0.88 S1)  ; 2
+            (   98.95   -46.65   -39.05     0.88 S1)  ; 3
+            (  101.87   -50.17   -38.80     0.88 S1)  ; 4
+            (  101.87   -52.41   -38.25     0.88 S1)  ; 5
+            (  102.74   -54.65   -37.67     0.88 S1)  ; 6
+            (  103.04   -55.93   -34.80     0.88 S1)  ; 7
+            (  104.49   -56.89   -30.17     0.88 S1)  ; 8
+            (  105.66   -58.18   -29.82     0.88 S1)  ; 9
+            (  106.25   -58.82   -27.95     0.88 S1)  ; 10
+            (  107.41   -60.42   -26.67     0.88 S1)  ; 11
+            (  108.00   -61.38   -24.58     0.58 S1)  ; 12
+            (  108.87   -62.98   -24.17     0.58 S1)  ; 13
+            (  109.75   -64.58   -23.75     0.58 S1)  ; 14
+            (  110.33   -65.86   -19.52     0.58 S1)  ; 15
+            (  110.91   -67.46   -17.67     0.58 S1)  ; 16
+            (  110.62   -69.70   -17.38     0.58 S1)  ; 17
+            (  111.79   -71.62   -16.73     0.58 S1)  ; 18
+            (  113.25   -73.23   -15.90     0.58 S1)  ; 19
+            (  114.42   -75.15   -15.40     0.58 S1)  ; 20
+            (  115.88   -76.81   -14.43     0.58 S1)  ; 21
+            (  119.09   -77.77   -13.72     0.29 S1)  ; 22
+            (  121.13   -79.05   -13.45     0.29 S1)  ; 23
+            (  121.71   -80.97   -13.10     0.29 S1)  ; 24
+            (  123.46   -81.29   -12.35     0.29 S1)  ; 25
+            (  125.21   -81.94   -12.20     0.29 S1)  ; 26
+            (  124.63   -84.18   -12.07     0.29 S1)  ; 27
+            (  125.80   -86.74   -11.73     0.29 S1)  ; 28
+            (  126.96   -88.98   -11.35     0.29 S1)  ; 29
+            (  129.01   -89.62   -10.80     0.29 S1)  ; 30
+            (  130.17   -90.90    -9.27     0.29 S1)  ; 31
+            (  131.93   -92.18    -8.42     0.29 S1)  ; 32
+            (  132.80   -93.78    -6.40     0.29 S1)  ; 33
+            (  134.84   -95.06    -2.90     0.29 S1)  ; 34
+            (  137.47   -95.38    -1.58     0.29 S1)  ; 35
+            (  139.51   -96.02     1.05     0.29 S1)  ; 36
+             Normal
+          )  ;  End of split
+        |
+          (   87.37   -25.51   -29.38     0.58 S1)  ; 1, R-1-2-2-2
+          (   89.99   -26.47   -28.85     0.58 S1)  ; 2
+          (   91.74   -28.40   -28.75     0.58 S1)  ; 3
+          (   94.08   -29.36   -28.15     0.58 S1)  ; 4
+          (   96.70   -30.00   -26.50     0.58 S1)  ; 5
+          (   97.58   -31.28   -26.00     0.58 S1)  ; 6
+          (   99.91   -31.92   -25.47     0.58 S1)  ; 7
+          (  102.25   -33.84   -23.60     0.58 S1)  ; 8
+          (  105.17   -35.44   -23.23     0.58 S1)  ; 9
+          (  107.50   -36.08   -21.63     0.58 S1)  ; 10
+          (  108.08   -38.00   -20.73     0.58 S1)  ; 11
+          (  111.29   -38.32   -19.73     0.58 S1)  ; 12
+          (  112.17   -38.32   -20.47     0.58 S1)  ; 13
+          (  111.88   -38.64   -18.50     0.58 S1)  ; 14
+          (  111.88   -39.60   -17.95     0.58 S1)  ; 15
+          (  112.46   -39.92   -14.85     0.58 S1)  ; 16
+          (  113.34   -41.52   -12.88     0.58 S1)  ; 17
+          (  114.80   -40.88   -10.92     0.58 S1)  ; 18
+          (  116.17   -41.84    -8.27     0.58 S1)  ; 19
+          (  119.38   -43.13    -6.73     0.58 S1)  ; 20
+          (  122.59   -44.73    -6.22     0.29 S1)  ; 21
+          (  124.63   -46.01    -4.75     0.29 S1)  ; 22
+          (  126.38   -47.29    -3.32     0.29 S1)  ; 23
+          (  127.26   -49.21    -3.10     0.29 S1)  ; 24
+          (  128.13   -49.85    -2.95     0.29 S1)  ; 25
+          (  129.30   -48.89    -2.95     0.29 S1)  ; 26
+          (  131.93   -48.25    -2.45     0.29 S1)  ; 27
+          (  134.84   -48.57    -1.32     0.29 S1)  ; 28
+          (  137.18   -48.89    -1.05     0.29 S1)  ; 29
+          (  138.93   -49.21    -0.65     0.29 S1)  ; 30
+           Normal
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  |
+    (   65.60    11.05   -43.82     0.88 S1)  ; 1, R-2
+    (   68.51    10.73   -45.95     0.88 S1)  ; 2
+    (   71.14    11.69   -47.02     0.88 S1)  ; 3
+    (   72.31    10.41   -46.03     0.88 S1)  ; 4
+    (   74.06     8.49   -49.02     0.88 S1)  ; 5
+    (   74.93     8.81   -51.88     0.88 S1)  ; 6
+
+    (Cross
+      (Color Green)
+      (Name "Marker 3")
+      (   67.32    11.29   -42.79     0.07 S1)  ; 1
+      (   67.32     9.89   -44.99     0.07 S1)  ; 2
+    )  ;  End of markers
+    (
+      (   76.68     5.29   -55.50     0.58 S1)  ; 1, R-2-1
+      (   79.02     2.72   -55.85     0.58 S1)  ; 2
+      (   80.77    -0.16   -57.77     0.58 S1)  ; 3
+      (   81.06    -2.72   -59.10     0.58 S1)  ; 4
+      (   82.23    -5.03   -60.72     0.58 S1)  ; 5
+      (   83.40    -7.27   -63.22     0.58 S1)  ; 6
+      (   83.98   -10.15   -64.57     0.58 S1)  ; 7
+      (   84.86   -12.07   -64.80     0.58 S1)  ; 8
+      (   84.27   -15.27   -65.88     0.58 S1)  ; 9
+      (   84.56   -17.51   -66.38     0.58 S1)  ; 10
+      (   83.69   -19.44   -66.82     0.58 S1)  ; 11
+      (   84.27   -21.36   -67.38     0.58 S1)  ; 12
+      (   85.73   -24.24   -68.97     0.58 S1)  ; 13
+      (   86.31   -26.48   -70.38     0.58 S1)  ; 14
+      (   87.48   -28.40   -71.52     0.58 S1)  ; 15
+      (   87.19   -30.00   -72.88     0.58 S1)  ; 16
+      (   86.31   -31.60   -73.15     0.58 S1)  ; 17
+      (   86.31   -33.52   -74.70     0.58 S1)  ; 18
+      (   87.48   -35.45   -76.38     0.58 S1)  ; 19
+      (   89.52   -36.09   -78.40     0.58 S1)  ; 20
+      (   89.52   -35.13   -80.02     0.58 S1)  ; 21
+      (   88.36   -35.77   -81.77     0.58 S1)  ; 22
+      (   88.94   -36.73   -84.30     0.58 S1)  ; 23
+      (   87.77   -38.33   -84.90     0.58 S1)  ; 24
+      (   88.07   -41.21   -85.28     0.58 S1)  ; 25
+      (   88.65   -44.73   -84.48     0.58 S1)  ; 26
+      (   89.52   -46.97   -84.38     0.58 S1)  ; 27
+      (   90.11   -49.86   -84.90     0.58 S1)  ; 28
+      (   89.82   -52.10   -85.70     0.58 S1)  ; 29
+      (   90.98   -55.30   -88.47     0.58 S1)  ; 30
+      (   93.03   -58.18   -90.10     0.58 S1)  ; 31
+      (   93.90   -61.06   -91.13     0.58 S1)  ; 32
+      (   94.78   -62.98   -93.32     0.58 S1)  ; 33
+      (   96.82   -66.25   -94.38     0.29 S1)  ; 34
+      (   97.40   -68.49   -95.75     0.29 S1)  ; 35
+      (  100.03   -70.73   -98.07     0.29 S1)  ; 36
+      (  101.20   -72.01  -100.13     0.29 S1)  ; 37
+      (  102.66   -75.54  -103.38     0.29 S1)  ; 38
+      (  104.41   -80.34  -104.70     0.29 S1)  ; 39
+      (  107.03   -84.82  -105.70     0.29 S1)  ; 40
+      (  108.78   -89.31  -108.63     0.29 S1)  ; 41
+      (  108.49   -93.15  -111.38     0.29 S1)  ; 42
+      (  108.78   -98.91  -111.60     0.29 S1)  ; 43
+      (  108.78  -102.11  -113.42     0.29 S1)  ; 44
+      (  108.78  -106.60  -115.40     0.29 S1)  ; 45
+      (  109.95  -108.52  -117.70     0.29 S1)  ; 46
+      (  107.03  -114.28  -118.15     0.29 S1)  ; 47
+       High
+    |
+      (   76.98    10.09   -53.80     0.58 S1)  ; 1, R-2-2
+      (   79.89    10.73   -54.97     0.58 S1)  ; 2
+      (   80.77    11.37   -56.65     0.58 S1)  ; 3
+      (   82.23    13.29   -57.75     0.58 S1)  ; 4
+      (   83.69    14.57   -58.30     0.58 S1)  ; 5
+      (   84.86    16.49   -59.17     0.58 S1)  ; 6
+      (   86.02    18.09   -60.92     0.58 S1)  ; 7
+      (   88.07    19.05   -61.32     0.58 S1)  ; 8
+      (   89.52    20.98   -61.95     0.58 S1)  ; 9
+      (   91.28    22.26   -62.77     0.58 S1)  ; 10
+      (   93.32    23.22   -64.80     0.58 S1)  ; 11
+      (   96.82    24.50   -66.52     0.58 S1)  ; 12
+      (   98.28    26.74   -68.07     0.58 S1)  ; 13
+      (  100.03    28.34   -69.27     0.58 S1)  ; 14
+      (  102.07    29.94   -69.57     0.58 S1)  ; 15
+      (  104.11    31.54   -70.67     0.58 S1)  ; 16
+      (  105.28    33.14   -71.63     0.58 S1)  ; 17
+      (  107.62    35.06   -72.77     0.58 S1)  ; 18
+      (  109.08    36.35   -73.60     0.58 S1)  ; 19
+      (
+        (  110.53    36.35   -72.30     0.29 S1)  ; 1, R-2-2-1
+        (  113.16    37.31   -73.15     0.29 S1)  ; 2
+        (  115.20    39.23   -74.13     0.29 S1)  ; 3
+        (  118.12    39.23   -74.13     0.29 S1)  ; 4
+        (  120.16    41.15   -74.42     0.29 S1)  ; 5
+        (  121.62    40.83   -75.18     0.29 S1)  ; 6
+        (  123.08    41.47   -77.40     0.29 S1)  ; 7
+        (  126.29    41.15   -79.60     0.29 S1)  ; 8
+        (  129.21    41.15   -80.70     0.29 S1)  ; 9
+        (  131.84    41.15   -82.20     0.29 S1)  ; 10
+        (  135.05    40.83   -84.85     0.29 S1)  ; 11
+        (  138.84    40.83   -86.00     0.29 S1)  ; 12
+        (  142.93    41.15   -85.68     0.29 S1)  ; 13
+        (  147.01    41.47   -86.27     0.29 S1)  ; 14
+        (  150.51    42.43   -86.67     0.29 S1)  ; 15
+        (  155.18    42.11   -89.55     0.29 S1)  ; 16
+        (  160.73    41.79   -90.25     0.29 S1)  ; 17
+        (  166.56    41.15   -81.67     0.29 S1)  ; 18
+        (  170.07    39.23   -81.53     0.29 S1)  ; 19
+        (  171.52    36.67   -80.68     0.29 S1)  ; 20
+        (  170.65    34.10   -79.10     0.29 S1)  ; 21
+         Normal
+      |
+        (  109.95    38.91   -74.15     0.58 S1)  ; 1, R-2-2-2
+        (  112.29    40.83   -75.13     0.58 S1)  ; 2
+        (  113.16    42.75   -77.38     0.58 S1)  ; 3
+        (  114.33    44.99   -78.85     0.58 S1)  ; 4
+        (  114.91    46.59   -82.28     0.58 S1)  ; 5
+        (  117.83    47.87   -83.10     0.58 S1)  ; 6
+        (  120.46    50.11   -85.45     0.58 S1)  ; 7
+        (  123.08    52.36   -87.38     0.58 S1)  ; 8
+        (  126.29    53.96   -88.38     0.58 S1)  ; 9
+        (  129.50    56.52   -89.25     0.58 S1)  ; 10
+        (  131.55    58.12   -89.85     0.58 S1)  ; 11
+        (  133.30    59.72   -89.38     0.29 S1)  ; 12
+        (  136.21    60.36   -91.65     0.29 S1)  ; 13
+        (  139.13    62.28   -94.03     0.29 S1)  ; 14
+        (  141.47    64.52   -97.28     0.29 S1)  ; 15
+        (  144.09    65.81   -98.02     0.29 S1)  ; 16
+        (  147.01    65.81   -98.72     0.29 S1)  ; 17
+        (  150.51    68.05   -99.92     0.29 S1)  ; 18
+        (  153.14    69.01  -102.57     0.29 S1)  ; 19
+         High
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color DarkRed)
+  (Dendrite)
+  (   42.05    13.55   -47.88     0.88 S1)  ; Root
+  (   42.05    12.59   -44.70     0.88 S1)  ; 1, R
+  (   42.63    10.35   -42.80     0.88 S1)  ; 2
+  (   43.80    10.03   -38.60     0.88 S1)  ; 3
+  (   45.26     8.75   -35.33     0.88 S1)  ; 4
+  (   46.13     7.47   -31.70     0.88 S1)  ; 5
+  (   47.30     5.55   -33.10     0.88 S1)  ; 6
+  (   48.17     2.66   -31.25     0.88 S1)  ; 7
+  (   48.47     0.74   -28.33     0.88 S1)  ; 8
+  (   47.88    -1.18   -27.50     0.88 S1)  ; 9
+  (   49.93    -2.78   -26.67     0.88 S1)  ; 10
+  (   49.05    -5.98   -25.40     0.88 S1)  ; 11
+  (   49.93    -7.58   -23.92     0.88 S1)  ; 12
+  (   50.51    -9.82   -21.98     0.88 S1)  ; 13
+  (   51.68   -12.06   -19.97     0.88 S1)  ; 14
+  (   52.84   -13.03   -18.55     0.88 S1)  ; 15
+  (   54.89   -13.99   -17.90     0.88 S1)  ; 16
+  (   54.30   -16.23   -17.45     0.88 S1)  ; 17
+  (   56.05   -17.83   -15.52     0.88 S1)  ; 18
+  (   56.93   -19.43   -13.57     0.88 S1)  ; 19
+  (   57.80   -20.39    -9.77     0.88 S1)  ; 20
+  (   57.80   -21.67    -6.40     0.88 S1)  ; 21
+  (   56.93   -24.23    -7.70     0.88 S1)  ; 22
+  (   56.05   -26.47   -10.17     0.88 S1)  ; 23
+  (   55.47   -30.32   -10.43     0.88 S1)  ; 24
+  (   56.35   -33.52    -8.63     0.88 S1)  ; 25
+  (   57.22   -35.76    -5.90     0.88 S1)  ; 26
+  (   56.35   -38.32    -3.55     0.88 S1)  ; 27
+  (   54.59   -39.60    -2.85     0.88 S1)  ; 28
+  (   52.26   -40.88    -2.57     0.88 S1)  ; 29
+  (   51.38   -42.16    -1.15     0.88 S1)  ; 30
+  (   50.80   -44.41    -0.57     0.88 S1)  ; 31
+  (
+    (   51.38   -44.73   -10.10     0.88 S1)  ; 1, R-1
+    (   50.51   -46.01   -12.00     0.88 S1)  ; 2
+    (   49.05   -49.21   -12.45     0.88 S1)  ; 3
+    (   47.88   -51.45   -12.57     0.88 S1)  ; 4
+    (   47.88   -52.73   -11.55     0.88 S1)  ; 5
+    (   47.30   -54.01    -9.20     0.88 S1)  ; 6
+    (   48.17   -55.29    -7.77     0.88 S1)  ; 7
+    (   49.63   -56.57    -6.00     0.88 S1)  ; 8
+    (   49.34   -57.54    -2.60     0.88 S1)  ; 9
+    (   48.17   -59.14    -0.75     0.88 S1)  ; 10
+    (   46.13   -60.74    -0.43     0.88 S1)  ; 11
+    (   44.38   -62.34     0.77     0.88 S1)  ; 12
+    (   43.51   -63.94     1.38     0.88 S1)  ; 13
+    (   42.63   -66.82     2.20     0.88 S1)  ; 14
+    (   42.63   -68.42     3.00     0.88 S1)  ; 15
+    (   41.75   -71.62     3.50     0.88 S1)  ; 16
+    (   42.92   -74.51     3.88     0.88 S1)  ; 17
+    (   43.80   -77.77     4.90     0.88 S1)  ; 18
+    (   44.67   -80.01     5.35     0.88 S1)  ; 19
+    (   44.67   -82.58     3.57     0.88 S1)  ; 20
+    (   45.55   -84.82     2.13     0.88 S1)  ; 21
+    (   47.59   -86.74     2.35     0.88 S1)  ; 22
+    (   47.88   -89.62     3.78     0.88 S1)  ; 23
+    (   49.05   -91.22     6.70     0.88 S1)  ; 24
+    (   48.17   -93.14     7.47     0.88 S1)  ; 25
+    (   49.34   -95.38     7.80     0.58 S1)  ; 26
+    (   48.76   -98.59     8.50     0.58 S1)  ; 27
+    (   49.34  -100.83     9.50     0.58 S1)  ; 28
+    (   49.34  -103.07     9.85     0.58 S1)  ; 29
+    (   51.09  -103.39    10.02     0.58 S1)  ; 30
+    (   52.55  -104.03    10.28     0.58 S1)  ; 31
+    (   53.14  -106.59    10.68     0.58 S1)  ; 32
+     Normal
+  |
+    (   52.55   -46.97    -3.08     0.88 S1)  ; 1, R-2
+    (   53.43   -48.89    -0.10     0.88 S1)  ; 2
+    (   54.89   -50.17     1.60     0.88 S1)  ; 3
+    (   56.05   -52.73     2.35     0.88 S1)  ; 4
+    (   56.64   -54.33     3.88     0.58 S1)  ; 5
+    (   57.22   -56.25     5.48     0.58 S1)  ; 6
+    (   56.64   -57.21     6.05     0.58 S1)  ; 7
+    (   55.76   -57.54     6.05     0.29 S1)  ; 8
+    (   54.01   -58.82     6.40     0.29 S1)  ; 9
+    (   52.55   -60.42     4.35     0.29 S1)  ; 10
+    (   51.38   -60.74     2.35     0.29 S1)  ; 11
+    (   50.51   -61.38     1.27     0.29 S1)  ; 12
+    (   48.76   -62.98    -0.05     0.29 S1)  ; 13
+    (   46.42   -63.94    -0.10     0.29 S1)  ; 14
+    (   44.67   -65.86    -2.42     0.29 S1)  ; 15
+     Normal
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color RGB (128, 0, 255))
+  (Dendrite)
+  (   37.76    12.99   -46.08     0.58 S1)  ; Root
+  (   35.43    12.35   -42.77     1.75 S1)  ; 1, R
+  (   32.22    11.39   -40.22     1.75 S1)  ; 2
+  (   29.01    10.43   -37.75     1.75 S1)  ; 3
+  (   27.26     8.50   -37.40     1.75 S1)  ; 4
+
+  (Cross
+    (Color Green)
+    (Name "Marker 3")
+    (   27.69    10.72   -39.24     0.07 S1)  ; 1
+    (   30.99    10.06   -39.78     0.07 S1)  ; 2
+    (   33.86    11.16   -39.78     0.07 S1)  ; 3
+    (   37.90    11.23   -40.80     0.07 S1)  ; 4
+    (   32.46    10.65   -42.44     0.07 S1)  ; 5
+    (   29.60     9.98   -42.44     0.07 S1)  ; 6
+  )  ;  End of markers
+  (
+    (   25.43     9.95   -37.40     1.17 S1)  ; 1, R-1
+    (   23.38    10.27   -40.10     1.17 S1)  ; 2
+    (   22.22    10.92   -42.53     0.88 S1)  ; 3
+    (   20.46    12.52   -43.25     1.17 S1)  ; 4
+    (   19.30    14.44   -42.60     1.17 S1)  ; 5
+    (   16.96    15.08   -41.67     1.17 S1)  ; 6
+    (   15.80    17.32   -40.13     1.17 S1)  ; 7
+    (   14.63    19.24   -39.52     1.17 S1)  ; 8
+    (   12.88    20.20   -38.88     1.17 S1)  ; 9
+    (   11.42    21.16   -38.47     1.17 S1)  ; 10
+
+    (Cross
+      (Color Green)
+      (Name "Marker 3")
+      (   23.65     8.83   -40.10     0.07 S1)  ; 1
+      (   22.62     9.86   -39.94     0.07 S1)  ; 2
+      (   18.21    12.43   -39.94     0.07 S1)  ; 3
+      (   14.17    16.62   -39.94     0.07 S1)  ; 4
+      (   17.26    15.74   -38.49     0.07 S1)  ; 5
+      (   13.73    19.12   -38.91     0.07 S1)  ; 6
+      (   13.22    20.81   -40.01     0.07 S1)  ; 7
+      (   15.35    19.71   -40.01     0.07 S1)  ; 8
+      (   20.64    12.50   -41.90     0.07 S1)  ; 9
+      (   21.89    11.33   -41.90     0.07 S1)  ; 10
+    )  ;  End of markers
+    (
+      (    9.37    23.01   -35.75     0.58 S1)  ; 1, R-1-1
+      (    7.62    23.01   -33.35     0.58 S1)  ; 2
+      (    5.87    23.33   -32.77     0.58 S1)  ; 3
+      (    3.53    24.29   -31.55     0.58 S1)  ; 4
+      (    2.37    25.57   -30.55     0.58 S1)  ; 5
+      (    0.32    26.85   -30.10     0.58 S1)  ; 6
+      (   -0.84    28.14   -29.45     0.58 S1)  ; 7
+      (   -3.18    29.42   -28.65     0.58 S1)  ; 8
+      (   -4.35    30.06   -27.85     0.58 S1)  ; 9
+      (   -4.93    30.06   -24.82     0.58 S1)  ; 10
+      (   -4.64    31.34   -23.65     0.29 S1)  ; 11
+      (   -4.64    32.94   -22.83     0.29 S1)  ; 12
+      (   -5.22    32.62   -20.90     0.29 S1)  ; 13
+      (   -5.51    31.34   -18.35     0.29 S1)  ; 14
+      (   -6.10    31.34   -17.52     0.29 S1)  ; 15
+      (   -6.39    31.34   -16.73     0.29 S1)  ; 16
+      (   -8.14    31.98   -15.05     0.29 S1)  ; 17
+      (   -9.31    32.30   -13.95     0.29 S1)  ; 18
+      (   -9.31    33.58   -12.45     0.29 S1)  ; 19
+      (  -10.47    33.26    -9.77     0.29 S1)  ; 20
+      (  -11.06    32.30    -7.30     0.29 S1)  ; 21
+      (  -12.23    32.94    -5.30     0.29 S1)  ; 22
+      (  -12.81    34.22    -4.35     0.29 S1)  ; 23
+      (  -13.39    32.62    -1.65     0.29 S1)  ; 24
+      (  -14.85    33.26     1.10     0.29 S1)  ; 25
+      (  -14.85    35.18     2.10     0.29 S1)  ; 26
+      (  -16.31    34.54     3.42     0.29 S1)  ; 27
+      (  -16.60    34.86     4.38     0.29 S1)  ; 28
+      (  -17.48    34.86     7.07     0.29 S1)  ; 29
+      (  -17.77    35.82     8.65     0.29 S1)  ; 30
+      (  -18.94    36.14     9.75     0.29 S1)  ; 31
+      (  -20.69    35.50    11.65     0.29 S1)  ; 32
+      (  -22.73    35.50    13.80     0.29 S1)  ; 33
+      (  -23.02    36.46    14.60     0.29 S1)  ; 34
+      (  -23.90    35.50    15.40     0.29 S1)  ; 35
+      (  -25.36    36.46    17.05     0.29 S1)  ; 36
+      (  -26.52    36.14    17.52     0.29 S1)  ; 37
+      (  -28.57    35.50    18.92     0.29 S1)  ; 38
+      (  -29.15    34.22    19.65     0.29 S1)  ; 39
+       Low
+    |
+      (   10.25    24.04   -43.20     0.88 S1)  ; 1, R-1-2
+      (    7.92    25.64   -43.58     0.88 S1)  ; 2
+      (    7.33    26.61   -44.23     0.88 S1)  ; 3
+      (    5.58    26.61   -44.78     0.88 S1)  ; 4
+      (    2.66    26.61   -45.15     0.88 S1)  ; 5
+      (   -0.25    28.21   -46.25     0.88 S1)  ; 6
+      (   -2.59    29.81   -46.42     0.88 S1)  ; 7
+      (   -4.05    31.09   -46.65     0.58 S1)  ; 8
+      (   -5.80    30.13   -45.25     0.58 S1)  ; 9
+      (   -9.01    30.77   -43.90     0.88 S1)  ; 10
+      (  -11.34    31.73   -44.67     0.88 S1)  ; 11
+      (  -13.68    32.69   -41.22     0.88 S1)  ; 12
+      (  -16.89    33.97   -40.13     0.88 S1)  ; 13
+      (  -20.42    35.89   -40.57     0.88 S1)  ; 14
+      (  -22.17    37.49   -40.32     0.88 S1)  ; 15
+      (  -24.80    39.09   -40.13     0.88 S1)  ; 16
+      (  -27.71    41.34   -39.85     0.88 S1)  ; 17
+      (  -28.59    43.26   -39.75     0.88 S1)  ; 18
+      (  -30.63    43.90   -39.67     0.88 S1)  ; 19
+      (  -32.38    45.50   -39.47     0.88 S1)  ; 20
+      (  -35.19    46.71   -35.53     0.88 S1)  ; 21
+      (  -38.11    47.35   -35.40     0.58 S1)  ; 22
+      (  -40.74    49.59   -33.63     0.58 S1)  ; 23
+      (  -43.36    50.87   -33.30     0.58 S1)  ; 24
+      (  -45.11    50.55   -32.77     0.58 S1)  ; 25
+      (  -46.86    50.55   -30.67     0.29 S1)  ; 26
+      (  -47.16    52.47   -30.47     0.29 S1)  ; 27
+      (  -48.03    54.07   -29.67     0.29 S1)  ; 28
+      (  -49.49    55.35   -29.32     0.29 S1)  ; 29
+      (  -51.24    56.31   -28.05     0.29 S1)  ; 30
+      (  -51.24    57.92   -27.60     0.29 S1)  ; 31
+      (  -51.24    58.24   -26.52     0.29 S1)  ; 32
+      (  -52.41    59.20   -22.12     0.29 S1)  ; 33
+      (  -53.87    59.52   -20.77     0.29 S1)  ; 34
+      (  -54.74    59.84   -19.25     0.29 S1)  ; 35
+      (  -53.87    60.80   -18.77     0.29 S1)  ; 36
+      (  -55.33    61.12   -17.25     0.29 S1)  ; 37
+      (  -57.37    60.48   -16.40     0.29 S1)  ; 38
+      (  -60.29    61.44   -15.68     0.29 S1)  ; 39
+      (  -62.04    61.76   -15.20     0.29 S1)  ; 40
+      (  -63.50    62.72   -14.75     0.29 S1)  ; 41
+      (  -65.25    61.76   -14.10     0.29 S1)  ; 42
+      (  -65.83    60.48   -13.67     0.29 S1)  ; 43
+      (  -67.00    60.48   -12.45     0.29 S1)  ; 44
+      (  -67.29    61.12   -10.97     0.29 S1)  ; 45
+      (  -69.92    62.40   -10.73     0.29 S1)  ; 46
+      (  -71.67    63.36   -10.57     0.29 S1)  ; 47
+      (  -75.46    63.68   -10.33     0.29 S1)  ; 48
+      (  -76.92    63.04    -9.85     0.29 S1)  ; 49
+      (  -78.38    63.36    -9.57     0.29 S1)  ; 50
+      (  -80.13    64.32    -7.85     0.29 S1)  ; 51
+      (  -82.17    64.96    -7.00     0.29 S1)  ; 52
+      (  -82.76    65.28    -6.85     0.29 S1)  ; 53
+      (  -83.92    64.64    -6.57     0.29 S1)  ; 54
+      (  -85.68    65.92    -6.13     0.29 S1)  ; 55
+      (  -88.59    67.20    -5.60     0.29 S1)  ; 56
+      (  -89.47    69.12    -4.70     0.29 S1)  ; 57
+      (  -90.64    71.36    -5.90     0.29 S1)  ; 58
+       Normal
+    )  ;  End of split
+  |
+    (   28.13     6.90   -37.42     1.17 S1)  ; 1, R-2
+    (   27.26     4.66   -36.27     1.17 S1)  ; 2
+    (   25.50     3.06   -35.10     1.17 S1)  ; 3
+    (   24.54     1.17   -33.40     1.17 S1)  ; 4
+
+    (Cross
+      (Color Green)
+      (Name "Marker 3")
+      (   28.68     6.96   -38.56     0.07 S1)  ; 1
+      (   25.89     3.65   -36.97     0.07 S1)  ; 2
+    )  ;  End of markers
+    (
+      (   23.08     0.53   -33.40     0.88 S1)  ; 1, R-2-1
+      (   23.38    -0.75   -30.67     0.88 S1)  ; 2
+      (   24.25    -2.03   -27.73     0.88 S1)  ; 3
+      (
+        (   21.92    -2.35   -22.88     0.58 S1)  ; 1, R-2-1-1
+        (   20.17    -2.03   -20.77     0.58 S1)  ; 2
+        (   18.12    -1.71   -18.35     0.29 S1)  ; 3
+        (   16.37    -2.03   -15.60     0.29 S1)  ; 4
+        (   15.79    -2.99   -13.30     0.29 S1)  ; 5
+        (   12.58    -3.31   -12.90     0.29 S1)  ; 6
+        (   10.24    -4.59   -11.58     0.29 S1)  ; 7
+        (    9.37    -4.91   -10.40     0.29 S1)  ; 8
+        (    9.08    -3.63    -6.57     0.29 S1)  ; 9
+        (    8.20    -5.55    -3.20     0.29 S1)  ; 10
+        (    6.74    -4.59    -0.80     0.29 S1)  ; 11
+        (    4.41    -2.67     5.05     0.29 S1)  ; 12
+        (    3.82    -0.11     5.40     0.29 S1)  ; 13
+        (    2.95     1.17     5.65     0.29 S1)  ; 14
+        (    2.95     2.45     7.57     0.29 S1)  ; 15
+        (    0.61     3.74     8.40     0.29 S1)  ; 16
+        (
+          (   -0.26     5.34    10.57     0.29 S1)  ; 1, R-2-1-1-1
+          (    1.20     6.62    11.65     0.29 S1)  ; 2
+          (   -0.26     6.62    14.45     0.29 S1)  ; 3
+          (   -0.84     5.34    15.00     0.29 S1)  ; 4
+          (   -2.01     6.30    15.57     0.29 S1)  ; 5
+          (   -2.60     7.90    15.82     0.29 S1)  ; 6
+          (   -2.89     8.86    16.55     0.29 S1)  ; 7
+          (   -3.47    10.46    17.42     0.29 S1)  ; 8
+          (   -3.18    10.78    18.55     0.29 S1)  ; 9
+           Low
+        |
+          (   -1.14     2.45     3.92     0.29 S1)  ; 1, R-2-1-1-2
+          (   -2.01     1.49     4.90     0.29 S1)  ; 2
+          (   -3.76     1.81     5.00     0.29 S1)  ; 3
+           Normal
+        )  ;  End of split
+      |
+        (   26.00    -2.35   -30.33     0.29 S1)  ; 1, R-2-1-2
+        (   26.59    -3.31   -29.45     0.29 S1)  ; 2
+        (   26.00    -4.91   -27.73     0.29 S1)  ; 3
+        (   26.00    -5.23   -23.55     0.29 S1)  ; 4
+        (   26.59    -4.59   -19.92     0.29 S1)  ; 5
+        (   27.46    -3.95   -17.85     0.29 S1)  ; 6
+        (   29.50    -3.63   -15.95     0.29 S1)  ; 7
+        (   30.09    -4.59   -13.47     0.29 S1)  ; 8
+        (   31.84    -5.55   -12.47     0.29 S1)  ; 9
+        (   31.84    -5.87   -10.40     0.29 S1)  ; 10
+        (   32.71    -4.59    -8.07     0.29 S1)  ; 11
+        (   30.96    -5.23    -6.75     0.29 S1)  ; 12
+        (   31.25    -6.19    -5.65     0.29 S1)  ; 13
+        (   32.42    -5.55    -4.10     0.29 S1)  ; 14
+        (   31.55    -6.51     0.02     0.29 S1)  ; 15
+        (   33.01    -7.47     1.05     0.29 S1)  ; 16
+        (   33.59    -6.19     3.55     0.29 S1)  ; 17
+        (   35.05    -6.83     5.42     0.29 S1)  ; 18
+        (   34.17    -8.11     8.70     0.29 S1)  ; 19
+        (   35.92    -7.47     8.42     0.29 S1)  ; 20
+        (   34.76    -6.83    12.07     0.29 S1)  ; 21
+        (   34.17    -4.27    13.18     0.29 S1)  ; 22
+         Normal
+      )  ;  End of split
+    |
+      (   24.63     0.18   -33.40     1.17 S1)  ; 1, R-2-2
+      (   23.75    -2.06   -32.92     1.17 S1)  ; 2
+
+      (Cross
+        (Color Green)
+        (Name "Marker 3")
+        (   23.47     0.93   -33.13     0.07 S1)  ; 1
+        (   25.16    -0.91   -32.96     0.07 S1)  ; 2
+      )  ;  End of markers
+      (
+        (   24.23    -4.99   -31.77     1.17 S1)  ; 1, R-2-2-1
+        (   24.23    -7.23   -31.50     1.17 S1)  ; 2
+        (   24.23   -10.11   -31.13     1.17 S1)  ; 3
+        (   25.40   -11.71   -32.67     1.17 S1)  ; 4
+        (   26.28   -13.63   -35.80     1.17 S1)  ; 5
+        (   25.98   -15.23   -39.25     1.17 S1)  ; 6
+        (   25.69   -17.47   -40.48     1.17 S1)  ; 7
+
+        (Cross
+          (Color Green)
+          (Name "Marker 3")
+          (   24.99    -3.63   -32.26     0.07 S1)  ; 1
+          (   25.80    -5.10   -32.26     0.07 S1)  ; 2
+          (   24.11    -5.32   -32.26     0.07 S1)  ; 3
+          (   25.58    -8.85   -31.74     0.07 S1)  ; 4
+          (   26.39    -9.36   -31.74     0.07 S1)  ; 5
+          (   25.72   -10.32   -31.74     0.07 S1)  ; 6
+          (   23.52   -11.20   -32.60     0.07 S1)  ; 7
+          (   23.67   -10.24   -33.07     0.07 S1)  ; 8
+          (   24.04    -7.60   -32.61     0.07 S1)  ; 9
+          (   24.99    -5.76   -32.61     0.07 S1)  ; 10
+          (   23.30    -8.77   -31.13     0.07 S1)  ; 11
+          (   27.19   -13.70   -33.85     0.07 S1)  ; 12
+          (   24.55   -17.67   -37.08     0.07 S1)  ; 13
+          (   25.36   -15.02   -34.47     0.07 S1)  ; 14
+          (   27.27   -15.69   -35.61     0.07 S1)  ; 15
+          (   24.55   -14.36   -35.61     0.07 S1)  ; 16
+          (   25.36   -16.27   -34.11     0.07 S1)  ; 17
+        )  ;  End of markers
+        (
+          (   24.23   -20.74   -41.82     0.29 S1)  ; 1, R-2-2-1-1
+          (   22.48   -24.58   -42.33     0.29 S1)  ; 2
+          (   21.02   -26.50   -43.85     0.29 S1)  ; 3
+          (   20.15   -29.06   -40.57     0.29 S1)  ; 4
+          (   18.98   -31.62   -35.77     0.58 S1)  ; 5
+          (   17.52   -33.87   -34.72     0.58 S1)  ; 6
+          (   16.06   -35.47   -32.80     0.58 S1)  ; 7
+          (   16.06   -37.77   -31.35     0.58 S1)  ; 8
+          (   14.31   -39.05   -30.90     0.58 S1)  ; 9
+          (   12.56   -40.65   -30.17     0.58 S1)  ; 10
+          (   12.27   -42.26   -29.92     0.58 S1)  ; 11
+          (   11.10   -43.86   -29.90     0.58 S1)  ; 12
+          (    9.64   -45.14   -29.62     0.58 S1)  ; 13
+          (    7.89   -46.10   -30.27     0.58 S1)  ; 14
+          (    6.14   -46.74   -30.67     0.58 S1)  ; 15
+          (    4.97   -48.02   -31.15     0.58 S1)  ; 16
+          (    3.81   -49.62   -31.98     0.58 S1)  ; 17
+          (    2.64   -50.26   -34.05     0.58 S1)  ; 18
+          (    1.18   -50.90   -35.95     0.58 S1)  ; 19
+          (    0.01   -52.18   -37.00     0.58 S1)  ; 20
+          (   -2.61   -53.46   -39.58     0.58 S1)  ; 21
+          (   -4.36   -54.74   -41.17     0.58 S1)  ; 22
+          (   -4.66   -56.66   -41.35     0.58 S1)  ; 23
+          (   -4.07   -59.87   -42.75     0.58 S1)  ; 24
+          (   -3.78   -62.75   -43.13     0.58 S1)  ; 25
+          (   -4.36   -64.99   -43.05     0.58 S1)  ; 26
+          (   -4.07   -67.55   -43.45     0.58 S1)  ; 27
+          (   -2.03   -70.11   -40.70     0.58 S1)  ; 28
+          (   -1.45   -72.36   -39.30     0.58 S1)  ; 29
+          (    0.01   -73.96   -36.58     0.58 S1)  ; 30
+          (    0.01   -75.24   -33.97     0.58 S1)  ; 31
+          (    0.30   -77.48   -32.30     0.58 S1)  ; 32
+          (    0.30   -81.00   -32.30     0.29 S1)  ; 33
+          (    0.01   -83.88   -32.40     0.29 S1)  ; 34
+          (   -0.28   -84.84   -30.75     0.29 S1)  ; 35
+          (    0.01   -87.73   -30.75     0.29 S1)  ; 36
+          (    1.47   -89.01   -27.25     0.29 S1)  ; 37
+          (    2.35   -88.37   -27.27     0.29 S1)  ; 38
+
+          (Cross
+            (Color Green)
+            (Name "Marker 3")
+            (   23.66   -19.45   -41.82     0.07 S1)  ; 1
+            (   24.69   -22.02   -41.61     0.07 S1)  ; 2
+            (   23.66   -20.70   -40.46     0.07 S1)  ; 3
+            (   24.47   -20.26   -40.46     0.07 S1)  ; 4
+            (   22.78   -25.19   -43.50     0.07 S1)  ; 5
+            (   22.34   -24.60   -42.40     0.07 S1)  ; 6
+            (   21.38   -27.76   -44.26     0.07 S1)  ; 7
+            (   19.47   -26.73   -44.26     0.07 S1)  ; 8
+            (   18.59   -27.83   -41.45     0.07 S1)  ; 9
+            (   19.84   -32.24   -40.61     0.07 S1)  ; 10
+            (   18.30   -33.64   -40.61     0.07 S1)  ; 11
+            (   20.94   -30.77   -39.74     0.07 S1)  ; 12
+            (   17.64   -31.14   -39.74     0.07 S1)  ; 13
+            (   19.55   -31.07   -38.75     0.07 S1)  ; 14
+            (   14.85   -35.99   -38.64     0.07 S1)  ; 15
+            (   16.97   -39.78   -31.07     0.07 S1)  ; 16
+            (   15.50   -39.78   -31.07     0.07 S1)  ; 17
+            (   14.69   -38.68   -30.75     0.07 S1)  ; 18
+            (   15.72   -37.94   -30.75     0.07 S1)  ; 19
+            (   17.12   -41.25   -30.01     0.07 S1)  ; 20
+            (   14.11   -41.03   -30.01     0.07 S1)  ; 21
+            (   13.74   -38.75   -29.38     0.07 S1)  ; 22
+            (   13.59   -41.62   -29.38     0.07 S1)  ; 23
+            (   11.98   -41.62   -32.49     0.07 S1)  ; 24
+            (   10.65   -42.87   -31.40     0.07 S1)  ; 25
+            (   13.08   -42.72   -31.40     0.07 S1)  ; 26
+            (   13.15   -44.63   -31.40     0.07 S1)  ; 27
+            (   10.29   -43.38   -31.40     0.07 S1)  ; 28
+            (    9.40   -43.90   -31.40     0.07 S1)  ; 29
+            (    8.38   -44.12   -31.40     0.07 S1)  ; 30
+            (    8.52   -45.00   -31.39     0.07 S1)  ; 31
+            (   10.29   -47.57   -30.91     0.07 S1)  ; 32
+            (    7.35   -46.32   -31.95     0.07 S1)  ; 33
+            (   11.24   -45.74   -32.10     0.07 S1)  ; 34
+            (   12.27   -44.56   -30.44     0.07 S1)  ; 35
+            (    7.35   -47.35   -30.44     0.07 S1)  ; 36
+            (   12.05   -44.05   -28.85     0.07 S1)  ; 37
+            (    2.87   -48.53   -31.01     0.07 S1)  ; 38
+            (    7.64   -48.90   -30.91     0.07 S1)  ; 39
+            (    5.44   -49.12   -31.52     0.07 S1)  ; 40
+            (    3.38   -50.59   -32.04     0.07 S1)  ; 41
+            (    2.72   -51.69   -32.95     0.07 S1)  ; 42
+            (    1.11   -49.56   -33.72     0.07 S1)  ; 43
+            (    0.00   -51.18   -30.66     0.07 S1)  ; 44
+            (    1.99   -51.32   -31.15     0.07 S1)  ; 45
+            (    0.81   -53.16   -31.50     0.07 S1)  ; 46
+            (    0.00   -53.31   -31.50     0.07 S1)  ; 47
+            (    0.66   -52.72   -32.36     0.07 S1)  ; 48
+            (   -1.10   -54.04   -32.77     0.07 S1)  ; 49
+            (   -2.27   -55.15   -33.20     0.07 S1)  ; 50
+            (    0.00   -54.93   -34.44     0.07 S1)  ; 51
+            (   -4.70   -54.34   -35.26     0.07 S1)  ; 52
+            (   -3.15   -53.60   -35.26     0.07 S1)  ; 53
+            (   -3.45   -51.84   -35.26     0.07 S1)  ; 54
+            (   -4.92   -52.80   -35.41     0.07 S1)  ; 55
+            (   -1.17   -55.15   -36.14     0.07 S1)  ; 56
+            (   -1.32   -53.24   -36.14     0.07 S1)  ; 57
+            (   -3.30   -56.77   -43.25     0.07 S1)  ; 58
+            (   -5.95   -59.78   -42.64     0.07 S1)  ; 59
+            (   -4.11   -60.22   -43.53     0.07 S1)  ; 60
+            (   -3.82   -58.02   -42.69     0.07 S1)  ; 61
+            (   -3.38   -58.38   -41.25     0.07 S1)  ; 62
+            (   -4.40   -59.85   -41.25     0.07 S1)  ; 63
+            (   -6.09   -57.57   -41.25     0.07 S1)  ; 64
+            (   -1.54   -64.56   -42.01     0.07 S1)  ; 65
+            (   -1.61   -62.50   -42.01     0.07 S1)  ; 66
+            (   -5.21   -63.31   -42.01     0.07 S1)  ; 67
+            (   -5.14   -62.35   -42.01     0.07 S1)  ; 68
+            (   -4.77   -66.84   -42.81     0.07 S1)  ; 69
+            (   -3.89   -64.63   -43.75     0.07 S1)  ; 70
+            (   -3.15   -67.35   -43.75     0.07 S1)  ; 71
+            (   -1.98   -68.16   -43.75     0.07 S1)  ; 72
+            (   -4.26   -69.85   -43.75     0.07 S1)  ; 73
+            (   -3.23   -61.47   -42.49     0.07 S1)  ; 74
+            (   -2.93   -63.68   -42.11     0.07 S1)  ; 75
+            (   -0.51   -71.84   -41.42     0.07 S1)  ; 76
+            (   -4.48   -72.65   -43.18     0.07 S1)  ; 77
+            (   -2.20   -72.57   -43.18     0.07 S1)  ; 78
+            (   -3.01   -72.35   -41.77     0.07 S1)  ; 79
+            (   -1.39   -74.12   -40.94     0.07 S1)  ; 80
+            (   -0.73   -75.22   -41.64     0.07 S1)  ; 81
+            (   -0.44   -69.56   -42.67     0.07 S1)  ; 82
+            (    1.69   -78.01   -39.59     0.07 S1)  ; 83
+            (   -0.88   -79.34   -40.38     0.07 S1)  ; 84
+            (    0.52   -73.68   -38.25     0.07 S1)  ; 85
+            (    0.59   -80.07   -39.31     0.07 S1)  ; 86
+            (    1.03   -81.03   -37.76     0.07 S1)  ; 87
+            (    2.21   -82.65   -36.39     0.07 S1)  ; 88
+            (    1.11   -82.28   -36.39     0.07 S1)  ; 89
+            (    0.59   -83.01   -36.39     0.07 S1)  ; 90
+            (    1.18   -85.81   -35.41     0.07 S1)  ; 91
+            (   -0.73   -87.35   -35.41     0.07 S1)  ; 92
+            (    1.91   -89.34   -34.30     0.07 S1)  ; 93
+            (    0.22   -88.38   -34.30     0.07 S1)  ; 94
+            (    0.81   -86.84   -34.30     0.07 S1)  ; 95
+            (    2.06   -90.00   -32.97     0.07 S1)  ; 96
+            (    2.72   -89.56   -32.97     0.07 S1)  ; 97
+            (    3.82   -88.68   -32.97     0.07 S1)  ; 98
+          )  ;  End of markers
+           Normal
+        |
+          (   27.15   -18.11   -40.48     0.88 S1)  ; 1, R-2-2-1-2
+          (   27.03   -19.62   -40.60     0.88 S1)  ; 2
+          (
+            (   26.74   -21.22   -46.12     0.29 S1)  ; 1, R-2-2-1-2-1
+            (   25.86   -23.14   -48.05     0.29 S1)  ; 2
+            (   26.74   -25.07   -48.15     0.29 S1)  ; 3
+            (   26.74   -26.35   -50.25     0.29 S1)  ; 4
+            (   26.45   -27.31   -52.85     0.29 S1)  ; 5
+            (   25.86   -29.23   -53.82     0.29 S1)  ; 6
+            (   24.11   -31.79   -55.52     0.29 S1)  ; 7
+            (   22.36   -34.35   -56.00     0.29 S1)  ; 8
+            (   20.61   -36.27   -57.63     0.29 S1)  ; 9
+            (   20.32   -39.16   -61.77     0.29 S1)  ; 10
+            (   20.03   -41.08   -62.47     0.29 S1)  ; 11
+            (   17.98   -42.04   -63.90     0.29 S1)  ; 12
+            (   16.82   -44.60   -62.70     0.29 S1)  ; 13
+            (   15.36   -46.52   -66.60     0.29 S1)  ; 14
+            (   13.61   -47.80   -70.10     0.29 S1)  ; 15
+            (   11.56   -51.00   -72.88     0.29 S1)  ; 16
+             Normal
+          |
+            (   26.86   -19.71   -40.60     0.88 S1)  ; 1, R-2-2-1-2-2
+            (   25.98   -21.32   -41.20     0.88 S1)  ; 2
+            (   26.86   -23.88   -42.30     0.88 S1)  ; 3
+            (   28.61   -26.44   -39.82     1.17 S1)  ; 4
+            (   29.49   -28.68   -38.42     1.17 S1)  ; 5
+            (   30.07   -32.52   -38.25     1.17 S1)  ; 6
+            (   29.95   -33.71   -38.25     1.17 S1)  ; 7
+            (
+              (   29.07   -35.31   -41.42     0.58 S1)  ; 1, R-2-2-1-2-2-1
+              (   29.07   -37.23   -44.02     0.58 S1)  ; 2
+              (   29.07   -40.12   -46.32     0.58 S1)  ; 3
+              (   29.36   -42.68   -47.13     0.58 S1)  ; 4
+              (   30.24   -45.24   -47.53     0.58 S1)  ; 5
+              (   30.82   -46.84   -48.07     0.58 S1)  ; 6
+              (   29.95   -48.44   -49.43     0.58 S1)  ; 7
+              (   29.07   -49.08   -49.50     0.58 S1)  ; 8
+              (   29.66   -50.36   -50.00     0.58 S1)  ; 9
+              (   31.12   -51.32   -50.77     0.58 S1)  ; 10
+              (   31.41   -52.28   -51.67     0.58 S1)  ; 11
+              (   31.12   -53.89   -52.67     0.58 S1)  ; 12
+              (   31.12   -55.49   -54.02     0.58 S1)  ; 13
+              (   31.41   -57.41   -54.72     0.58 S1)  ; 14
+              (   30.82   -59.01   -57.00     0.58 S1)  ; 15
+              (   30.53   -59.97   -60.03     0.58 S1)  ; 16
+              (   29.07   -61.57   -60.45     0.58 S1)  ; 17
+              (   28.49   -63.49   -62.02     0.58 S1)  ; 18
+              (   28.49   -65.09   -62.88     0.58 S1)  ; 19
+              (   28.49   -66.05   -63.88     0.58 S1)  ; 20
+              (   27.61   -67.33   -63.97     0.58 S1)  ; 21
+              (   27.61   -69.58   -65.57     0.58 S1)  ; 22
+              (   26.45   -71.18   -66.38     0.58 S1)  ; 23
+              (   26.45   -73.10   -66.68     0.58 S1)  ; 24
+              (   24.40   -75.02   -67.25     0.58 S1)  ; 25
+              (   23.53   -76.30   -68.02     0.58 S1)  ; 26
+              (   23.24   -77.58   -69.18     0.58 S1)  ; 27
+              (   23.24   -79.82   -70.45     0.58 S1)  ; 28
+              (   24.11   -82.38   -72.10     0.58 S1)  ; 29
+              (   24.40   -85.01   -70.38     0.58 S1)  ; 30
+              (   24.70   -87.89   -70.65     0.58 S1)  ; 31
+              (   26.45   -90.13   -70.90     0.58 S1)  ; 32
+              (   26.15   -93.98   -71.52     0.58 S1)  ; 33
+              (   27.32   -95.58   -72.65     0.58 S1)  ; 34
+              (   26.74   -97.18   -75.05     0.58 S1)  ; 35
+              (   26.45   -98.46   -79.67     0.58 S1)  ; 36
+              (   28.20  -100.38   -82.10     0.58 S1)  ; 37
+              (   26.74  -102.94   -83.20     0.58 S1)  ; 38
+              (   28.49  -105.50   -87.70     0.58 S1)  ; 39
+              (   28.49  -108.07   -88.32     0.58 S1)  ; 40
+              (   29.36  -110.95   -90.80     0.58 S1)  ; 41
+              (   30.82  -113.51   -93.72     0.58 S1)  ; 42
+              (   31.41  -115.75   -98.10     0.58 S1)  ; 43
+              (   31.99  -119.27  -101.17     0.58 S1)  ; 44
+              (   32.87  -122.15  -101.45     0.58 S1)  ; 45
+               High
+            |
+              (   30.65   -35.09   -37.92     1.17 S1)  ; 1, R-2-2-1-2-2-2
+              (   31.82   -38.29   -37.92     0.88 S1)  ; 2
+              (   32.40   -40.85   -37.00     0.88 S1)  ; 3
+              (   32.99   -42.77   -35.77     0.88 S1)  ; 4
+              (   34.74   -44.05   -32.83     0.88 S1)  ; 5
+              (   36.49   -45.33   -30.33     0.88 S1)  ; 6
+              (   37.37   -47.57   -28.72     0.88 S1)  ; 7
+              (   38.24   -49.56   -28.25     0.88 S1)  ; 8
+              (   37.95   -51.80   -27.65     0.88 S1)  ; 9
+              (   37.37   -54.04   -27.47     0.88 S1)  ; 10
+              (   36.49   -56.92   -27.47     0.88 S1)  ; 11
+              (   36.78   -59.49   -26.95     0.88 S1)  ; 12
+              (   36.49   -61.41   -25.13     0.88 S1)  ; 13
+              (   36.78   -63.33   -24.82     0.88 S1)  ; 14
+              (   37.07   -65.57   -24.50     0.88 S1)  ; 15
+              (   36.49   -67.49   -22.40     0.88 S1)  ; 16
+              (   35.91   -69.73   -21.63     0.88 S1)  ; 17
+              (   35.32   -72.61   -20.60     0.88 S1)  ; 18
+              (   35.61   -74.86   -20.23     0.88 S1)  ; 19
+              (   37.66   -76.46   -21.02     0.88 S1)  ; 20
+              (   39.41   -79.02   -22.75     0.88 S1)  ; 21
+              (   40.58   -80.94   -21.30     0.88 S1)  ; 22
+              (   41.45   -83.50   -18.95     0.88 S1)  ; 23
+              (   42.03   -86.38   -17.38     0.88 S1)  ; 24
+              (   40.87   -87.98   -17.10     0.88 S1)  ; 25
+              (   39.12   -89.59   -16.92     0.88 S1)  ; 26
+              (   39.41   -91.51   -16.45     0.88 S1)  ; 27
+              (   40.28   -93.11   -16.30     0.88 S1)  ; 28
+              (   40.58   -94.71   -15.60     0.88 S1)  ; 29
+              (   40.28   -96.31   -15.45     0.88 S1)  ; 30
+              (   39.12   -97.27   -14.07     0.88 S1)  ; 31
+              (   37.66   -98.55   -13.97     0.88 S1)  ; 32
+              (   37.66   -99.83   -13.20     0.88 S1)  ; 33
+              (   38.24  -102.39   -12.75     0.88 S1)  ; 34
+              (   37.37  -104.32   -11.17     0.88 S1)  ; 35
+              (   36.78  -107.20   -11.02     0.88 S1)  ; 36
+              (   37.07  -110.52   -15.30     0.88 S1)  ; 37
+              (   38.24  -112.45   -13.72     0.88 S1)  ; 38
+              (   37.95  -114.05   -13.30     0.88 S1)  ; 39
+              (   37.66  -116.61   -12.05     0.88 S1)  ; 40
+              (   36.78  -118.21   -11.50     0.88 S1)  ; 41
+              (   37.07  -121.41   -10.95     0.88 S1)  ; 42
+              (   37.95  -123.97   -10.68     0.88 S1)  ; 43
+              (   38.53  -125.89    -9.70     0.88 S1)  ; 44
+              (   38.53  -127.50    -5.77     0.88 S1)  ; 45
+              (   37.95  -129.42    -3.17     0.88 S1)  ; 46
+              (   37.07  -130.70    -1.70     0.88 S1)  ; 47
+              (   38.24  -133.26     0.55     0.58 S1)  ; 48
+              (   39.99  -134.22     4.15     0.58 S1)  ; 49
+              (   42.03  -134.54     4.95     0.58 S1)  ; 50
+              (   45.83  -134.86     7.25     0.29 S1)  ; 51
+              (   50.79  -134.22     9.60     0.29 S1)  ; 52
+              (   53.42  -133.26    10.60     0.29 S1)  ; 53
+              (   55.46  -132.30    13.20     0.29 S1)  ; 54
+              (   58.08  -131.02    14.65     0.29 S1)  ; 55
+               Low
+            )  ;  End of split
+          )  ;  End of split
+        )  ;  End of split
+      |
+        (   21.42    -3.34   -31.60     0.88 S1)  ; 1, R-2-2-2
+        (   20.25    -4.94   -30.50     0.88 S1)  ; 2
+        (   19.08    -6.55   -34.22     0.88 S1)  ; 3
+        (   16.75    -8.15   -34.65     0.88 S1)  ; 4
+        (   14.12    -9.11   -35.05     0.88 S1)  ; 5
+        (   12.37   -11.99   -35.67     0.88 S1)  ; 6
+        (   11.50   -14.23   -36.55     0.88 S1)  ; 7
+        (   10.04   -15.83   -35.45     0.88 S1)  ; 8
+        (    8.58   -17.75   -33.07     0.88 S1)  ; 9
+        (    7.41   -19.67   -31.67     0.88 S1)  ; 10
+        (    6.24   -23.52   -31.45     0.88 S1)  ; 11
+        (    5.37   -26.40   -31.22     0.88 S1)  ; 12
+        (    3.91   -28.32   -33.65     0.88 S1)  ; 13
+        (    2.16   -29.92   -34.58     0.88 S1)  ; 14
+        (    2.74   -32.16   -35.75     0.88 S1)  ; 15
+        (    2.16   -34.08   -38.03     0.88 S1)  ; 16
+        (    0.12   -35.69   -39.45     0.88 S1)  ; 17
+        (   -1.63   -38.57   -39.92     0.88 S1)  ; 18
+        (   -2.80   -41.13   -40.92     0.88 S1)  ; 19
+        (   -2.80   -43.69   -41.10     0.88 S1)  ; 20
+        (   -4.55   -45.61   -41.20     0.88 S1)  ; 21
+        (   -6.01   -48.17   -40.83     0.88 S1)  ; 22
+        (   -7.18   -49.77   -41.65     0.88 S1)  ; 23
+        (   -7.76   -52.40   -40.40     0.88 S1)  ; 24
+        (   -8.93   -54.32   -40.77     0.88 S1)  ; 25
+        (  -10.39   -56.56   -41.30     0.88 S1)  ; 26
+        (  -11.85   -59.12   -41.75     0.88 S1)  ; 27
+        (  -13.31   -60.73   -42.92     0.88 S1)  ; 28
+        (
+          (  -13.51   -63.61   -39.85     0.58 S1)  ; 1, R-2-2-2-1
+          (  -14.68   -65.85   -39.65     0.58 S1)  ; 2
+          (  -16.14   -67.45   -42.53     0.58 S1)  ; 3
+          (  -16.14   -69.69   -45.00     0.58 S1)  ; 4
+          (  -17.89   -71.61   -46.45     0.58 S1)  ; 5
+          (  -18.18   -75.78   -46.63     0.58 S1)  ; 6
+          (  -19.06   -77.70   -46.85     0.58 S1)  ; 7
+          (  -19.93   -79.62   -47.17     0.58 S1)  ; 8
+          (  -20.81   -82.18   -48.75     0.58 S1)  ; 9
+          (  -22.56   -84.74   -48.90     0.58 S1)  ; 10
+          (  -23.43   -86.98   -49.22     0.58 S1)  ; 11
+          (  -23.14   -89.54   -49.55     0.58 S1)  ; 12
+          (  -23.72   -91.79   -49.58     0.58 S1)  ; 13
+          (  -23.43   -94.03   -49.97     0.58 S1)  ; 14
+          (  -24.02   -96.27   -51.40     0.58 S1)  ; 15
+          (  -24.60   -97.55   -52.28     0.58 S1)  ; 16
+          (  -24.89   -99.79   -52.53     0.58 S1)  ; 17
+          (  -26.06  -101.07   -52.53     0.58 S1)  ; 18
+          (  -27.52  -102.03   -52.75     0.58 S1)  ; 19
+          (  -28.10  -104.59   -53.65     0.58 S1)  ; 20
+          (  -29.27  -106.84   -54.27     0.58 S1)  ; 21
+          (  -29.27  -108.44   -55.45     0.58 S1)  ; 22
+          (  -30.14  -110.36   -56.85     0.58 S1)  ; 23
+          (  -32.19  -111.00   -58.10     0.58 S1)  ; 24
+          (  -33.94  -111.32   -60.13     0.58 S1)  ; 25
+          (  -36.56  -112.60   -61.88     0.58 S1)  ; 26
+          (  -38.90  -113.88   -63.33     0.58 S1)  ; 27
+          (  -42.11  -114.52   -64.32     0.58 S1)  ; 28
+          (  -44.74  -115.48   -66.52     0.58 S1)  ; 29
+          (  -46.49  -114.52   -67.50     0.58 S1)  ; 30
+          (  -47.65  -113.56   -69.32     0.58 S1)  ; 31
+          (  -49.40  -112.60   -70.90     0.58 S1)  ; 32
+          (  -51.16  -111.96   -71.63     0.58 S1)  ; 33
+           Normal
+        |
+          (  -15.06   -62.97   -46.38     0.88 S1)  ; 1, R-2-2-2-2
+          (  -16.52   -63.29   -48.58     0.58 S1)  ; 2
+          (  -17.98   -64.57   -49.85     0.58 S1)  ; 3
+          (  -18.85   -66.17   -52.55     0.58 S1)  ; 4
+          (  -21.19   -67.45   -53.75     0.58 S1)  ; 5
+          (  -23.23   -68.73   -56.55     0.58 S1)  ; 6
+          (  -24.98   -70.01   -57.67     0.58 S1)  ; 7
+          (  -25.85   -70.97   -58.58     0.58 S1)  ; 8
+          (  -26.15   -72.89   -59.35     0.58 S1)  ; 9
+          (  -28.48   -74.49   -61.25     0.58 S1)  ; 10
+          (  -28.77   -76.10   -64.07     0.58 S1)  ; 11
+          (  -29.94   -78.02   -64.70     0.58 S1)  ; 12
+          (  -31.11   -79.62   -67.07     0.58 S1)  ; 13
+          (  -31.98   -81.54   -67.07     0.29 S1)  ; 14
+          (  -33.73   -83.14   -70.00     0.29 S1)  ; 15
+          (  -35.69   -84.10   -71.03     0.29 S1)  ; 16
+          (  -37.15   -85.70   -73.50     0.29 S1)  ; 17
+          (  -38.32   -87.62   -73.75     0.29 S1)  ; 18
+          (  -39.48   -89.54   -74.00     0.29 S1)  ; 19
+          (  -40.36   -92.11   -75.18     0.29 S1)  ; 20
+          (  -42.40   -95.31   -76.92     0.29 S1)  ; 21
+          (  -44.15   -98.51   -77.28     0.29 S1)  ; 22
+          (  -44.74  -100.11   -77.50     0.29 S1)  ; 23
+          (  -47.36  -101.07   -77.53     0.29 S1)  ; 24
+          (  -49.70  -102.99   -77.68     0.29 S1)  ; 25
+          (  -51.16  -104.59   -74.05     0.29 S1)  ; 26
+          (  -52.91  -106.20   -72.60     0.29 S1)  ; 27
+          (  -53.78  -109.40   -77.65     0.29 S1)  ; 28
+          (  -54.66  -113.88   -75.85     0.29 S1)  ; 29
+          (  -54.95  -116.12   -78.95     0.29 S1)  ; 30
+          (  -55.53  -118.36   -81.90     0.29 S1)  ; 31
+          (  -58.74  -121.57   -84.17     0.29 S1)  ; 32
+           Normal
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color DarkYellow)
+  (Dendrite)
+  (   41.62    11.76   -57.28     1.46 S1)  ; Root
+  (   41.33    10.16   -57.28     2.04 S1)  ; 1, R
+  (   40.16     7.60   -56.77     2.04 S1)  ; 2
+  (   38.70     5.67   -58.75     2.04 S1)  ; 3
+  (   36.95     3.43   -63.02     1.75 S1)  ; 4
+  (   34.91     0.87   -66.03     1.75 S1)  ; 5
+  (   34.62    -1.37   -68.88     1.46 S1)  ; 6
+  (
+    (   33.16    -3.61   -62.97     0.88 S1)  ; 1, R-1
+    (   33.45    -6.49   -60.92     0.88 S1)  ; 2
+    (   34.03    -9.38   -58.75     0.88 S1)  ; 3
+    (   33.45   -11.94   -57.20     0.88 S1)  ; 4
+    (   32.57   -13.86   -55.77     0.88 S1)  ; 5
+    (   32.87   -15.78   -55.13     0.88 S1)  ; 6
+    (   31.99   -16.74   -54.55     0.88 S1)  ; 7
+    (
+      (   34.33   -19.62   -53.90     0.58 S1)  ; 1, R-1-1
+      (   35.78   -21.86   -54.15     0.58 S1)  ; 2
+      (   37.54   -24.11   -52.00     0.58 S1)  ; 3
+      (   39.58   -26.99   -51.70     0.58 S1)  ; 4
+      (   40.45   -28.91   -48.25     0.58 S1)  ; 5
+      (   38.70   -30.83   -45.97     0.58 S1)  ; 6
+      (   40.16   -33.07   -43.92     0.58 S1)  ; 7
+      (   40.75   -34.03   -44.43     0.58 S1)  ; 8
+      (
+        (   42.21   -37.74   -44.43     0.58 S1)  ; 1, R-1-1-1
+        (   41.62   -40.31   -45.95     0.58 S1)  ; 2
+        (   42.50   -42.23   -47.47     0.58 S1)  ; 3
+        (   44.83   -43.83   -48.22     0.58 S1)  ; 4
+        (   46.58   -44.15   -45.17     0.58 S1)  ; 5
+        (   48.92   -44.47   -42.85     0.58 S1)  ; 6
+        (   48.63   -45.75   -40.07     0.58 S1)  ; 7
+        (   49.21   -47.99   -37.85     0.58 S1)  ; 8
+        (   49.21   -50.55   -35.88     0.58 S1)  ; 9
+        (   49.50   -53.76   -34.88     0.58 S1)  ; 10
+        (   50.96   -55.36   -34.00     0.58 S1)  ; 11
+        (   51.84   -56.32   -33.80     0.58 S1)  ; 12
+        (   52.71   -58.24   -38.50     0.58 S1)  ; 13
+        (   54.17   -59.84   -39.80     0.58 S1)  ; 14
+        (   55.63   -60.80   -41.25     0.58 S1)  ; 15
+        (   56.51   -64.32   -41.32     0.58 S1)  ; 16
+        (   58.55   -65.60   -42.13     0.58 S1)  ; 17
+        (   60.59   -68.49   -43.58     0.58 S1)  ; 18
+        (   62.34   -72.33   -43.65     0.58 S1)  ; 19
+        (   63.22   -74.57   -43.85     0.58 S1)  ; 20
+        (   65.26   -77.13   -42.15     0.58 S1)  ; 21
+        (   66.72   -79.05   -40.15     0.58 S1)  ; 22
+        (   68.47   -81.29   -39.55     0.58 S1)  ; 23
+        (   69.93   -83.54   -39.38     0.58 S1)  ; 24
+        (   69.35   -86.74   -39.28     0.58 S1)  ; 25
+        (   68.28   -88.44   -47.37     0.58 S1)  ; 26
+        (   68.58   -90.36   -48.85     0.58 S1)  ; 27
+        (   69.16   -93.57   -52.67     0.58 S1)  ; 28
+        (   68.87   -95.49   -54.17     0.58 S1)  ; 29
+        (   69.74   -96.77   -55.47     0.29 S1)  ; 30
+        (   69.16   -99.01   -55.70     0.29 S1)  ; 31
+        (   67.99  -100.93   -56.03     0.29 S1)  ; 32
+        (   69.16  -104.13   -56.55     0.58 S1)  ; 33
+        (   69.45  -107.34   -57.42     0.58 S1)  ; 34
+        (   68.28  -108.94   -54.07     0.29 S1)  ; 35
+        (   67.99  -111.18   -49.67     0.29 S1)  ; 36
+        (   68.28  -112.78   -51.08     0.29 S1)  ; 37
+        (   69.45  -113.74   -56.12     0.29 S1)  ; 38
+        (   69.45  -115.34   -57.77     0.29 S1)  ; 39
+        (   68.58  -118.54   -58.25     0.29 S1)  ; 40
+        (   67.99  -121.74   -58.30     0.29 S1)  ; 41
+        (   65.66  -123.03   -58.88     0.29 S1)  ; 42
+         Normal
+      |
+        (   42.20   -35.63   -48.97     0.58 S1)  ; 1, R-1-1-2
+        (   42.20   -38.52   -52.20     0.58 S1)  ; 2
+        (   43.08   -40.76   -54.55     0.58 S1)  ; 3
+        (   43.08   -42.04   -54.65     0.58 S1)  ; 4
+        (   44.25   -44.28   -55.07     0.58 S1)  ; 5
+        (   46.00   -46.84   -55.85     0.58 S1)  ; 6
+        (   46.87   -49.08   -50.90     0.58 S1)  ; 7
+        (   48.04   -51.96   -46.90     0.58 S1)  ; 8
+        (   49.79   -54.85   -45.60     0.58 S1)  ; 9
+        (   49.50   -55.81   -42.98     0.58 S1)  ; 10
+        (   46.87   -56.77   -42.75     0.58 S1)  ; 11
+        (   45.71   -58.69   -42.47     0.58 S1)  ; 12
+        (   45.71   -60.61   -45.45     0.58 S1)  ; 13
+        (   46.58   -62.53   -47.17     0.58 S1)  ; 14
+        (   47.75   -63.81   -49.95     0.58 S1)  ; 15
+        (   49.50   -64.13   -50.92     0.58 S1)  ; 16
+        (   50.38   -66.37   -53.02     0.58 S1)  ; 17
+        (   51.83   -67.97   -54.20     0.58 S1)  ; 18
+        (   53.29   -70.86   -56.70     0.58 S1)  ; 19
+        (   54.46   -72.78   -57.45     0.58 S1)  ; 20
+        (   55.92   -74.38   -57.90     0.58 S1)  ; 21
+        (   55.92   -76.17   -59.83     0.58 S1)  ; 22
+        (   54.76   -78.73   -60.60     0.58 S1)  ; 23
+        (   56.21   -80.97   -62.02     0.58 S1)  ; 24
+        (   55.92   -82.89   -63.05     0.58 S1)  ; 25
+        (   54.76   -84.82   -65.05     0.58 S1)  ; 26
+        (   53.88   -88.34   -65.27     0.58 S1)  ; 27
+        (   55.34   -91.86   -66.25     0.58 S1)  ; 28
+        (   55.05   -93.14   -66.90     0.58 S1)  ; 29
+        (   57.38   -94.74   -67.38     0.58 S1)  ; 30
+        (   60.88   -96.02   -68.70     0.58 S1)  ; 31
+        (   62.34   -97.94   -68.95     0.29 S1)  ; 32
+        (   63.80   -99.55   -71.07     0.29 S1)  ; 33
+        (   66.43  -100.83   -67.85     0.29 S1)  ; 34
+         Normal
+      )  ;  End of split
+    |
+      (   29.72   -19.29   -54.40     0.58 S1)  ; 1, R-1-2
+      (   26.80   -21.22   -53.35     0.58 S1)  ; 2
+      (   25.34   -23.46   -52.25     0.58 S1)  ; 3
+      (   25.05   -25.38   -51.50     0.58 S1)  ; 4
+      (   23.00   -26.98   -50.97     0.58 S1)  ; 5
+      (   20.38   -28.26   -50.97     0.58 S1)  ; 6
+      (   18.63   -31.14   -50.68     0.58 S1)  ; 7
+      (   17.46   -34.34   -50.38     0.58 S1)  ; 8
+      (   16.00   -36.27   -53.42     0.58 S1)  ; 9
+      (   13.67   -37.87   -54.00     0.58 S1)  ; 10
+      (   11.62   -39.15   -56.03     0.58 S1)  ; 11
+      (   10.16   -42.03   -56.82     0.58 S1)  ; 12
+      (    9.00   -43.63   -57.85     0.58 S1)  ; 13
+      (    6.66   -45.23   -60.05     0.58 S1)  ; 14
+      (    4.91   -47.79   -63.17     0.58 S1)  ; 15
+      (    3.16   -49.71   -63.17     0.58 S1)  ; 16
+      (    0.53   -50.68   -63.38     0.58 S1)  ; 17
+      (   -2.09   -52.60   -65.65     0.58 S1)  ; 18
+      (   -3.84   -54.52   -65.65     0.58 S1)  ; 19
+      (
+        (   -6.47   -56.44   -65.65     0.29 S1)  ; 1, R-1-2-1
+        (   -7.64   -57.40   -64.80     0.29 S1)  ; 2
+        (  -10.26   -59.96   -66.20     0.29 S1)  ; 3
+        (  -14.35   -62.84   -66.65     0.29 S1)  ; 4
+        (  -17.56   -65.41   -67.28     0.29 S1)  ; 5
+        (  -20.18   -66.69   -68.42     0.29 S1)  ; 6
+        (  -25.44   -68.93   -67.63     0.29 S1)  ; 7
+        (  -30.98   -70.21   -68.45     0.29 S1)  ; 8
+        (  -34.48   -70.85   -70.00     0.29 S1)  ; 9
+        (  -38.57   -71.81   -70.97     0.29 S1)  ; 10
+        (  -42.36   -72.13   -72.32     0.29 S1)  ; 11
+        (  -44.99   -71.49   -73.67     0.29 S1)  ; 12
+        (  -49.07   -70.53   -73.85     0.29 S1)  ; 13
+        (  -53.19   -70.26   -76.80     0.29 S1)  ; 14
+        (  -56.98   -70.26   -79.27     0.29 S1)  ; 15
+        (  -61.07   -71.86   -82.17     0.29 S1)  ; 16
+        (  -66.03   -74.10   -84.63     0.29 S1)  ; 17
+        (  -69.82   -77.62   -84.78     0.29 S1)  ; 18
+        (  -73.03   -78.59   -85.15     0.29 S1)  ; 19
+        (  -76.24   -78.26   -86.20     0.29 S1)  ; 20
+        (  -82.37   -78.91   -78.80     0.29 S1)  ; 21
+        (  -83.83   -80.19   -74.65     0.29 S1)  ; 22
+        (  -85.00   -81.79   -71.07     0.29 S1)  ; 23
+         Normal
+      |
+        (   -3.29   -55.53   -67.60     0.58 S1)  ; 1, R-1-2-2
+        (   -5.33   -57.77   -66.80     0.58 S1)  ; 2
+        (   -6.79   -59.69   -67.65     0.58 S1)  ; 3
+        (   -8.54   -60.97   -68.38     0.58 S1)  ; 4
+        (   -9.42   -62.89   -70.65     0.58 S1)  ; 5
+        (  -11.46   -64.18   -71.30     0.88 S1)  ; 6
+        (  -12.34   -66.10   -73.35     0.88 S1)  ; 7
+        (  -14.09   -68.34   -74.35     0.88 S1)  ; 8
+        (  -17.59   -69.94   -76.13     0.88 S1)  ; 9
+        (  -18.76   -72.18   -76.47     0.88 S1)  ; 10
+        (  -20.51   -75.06   -76.92     0.88 S1)  ; 11
+        (  -22.84   -77.30   -74.20     0.88 S1)  ; 12
+        (  -25.47   -78.59   -72.50     0.88 S1)  ; 13
+        (  -27.51   -80.19   -72.38     0.88 S1)  ; 14
+        (  -28.97   -82.11   -72.22     0.88 S1)  ; 15
+        (  -31.30   -84.03   -72.22     0.88 S1)  ; 16
+        (  -33.35   -85.95   -71.88     0.88 S1)  ; 17
+        (  -35.10   -87.55   -71.28     0.88 S1)  ; 18
+        (  -36.27   -88.83   -72.28     0.88 S1)  ; 19
+        (  -36.85   -90.43   -73.07     0.88 S1)  ; 20
+        (  -37.43   -92.67   -68.95     0.88 S1)  ; 21
+        (  -36.85   -95.56   -68.45     0.88 S1)  ; 22
+        (  -36.56   -98.44   -68.38     0.88 S1)  ; 23
+        (  -36.85  -102.60   -71.00     0.88 S1)  ; 24
+        (  -37.43  -106.76   -71.17     0.88 S1)  ; 25
+        (  -38.89  -110.93   -71.28     0.88 S1)  ; 26
+        (  -40.06  -114.13   -71.28     0.88 S1)  ; 27
+        (  -39.77  -114.45   -71.28     0.88 S1)  ; 28
+        (  -39.48  -115.73   -71.28     0.88 S1)  ; 29
+        (  -40.64  -117.33   -71.28     0.88 S1)  ; 30
+        (  -42.10  -119.25   -71.52     0.88 S1)  ; 31
+        (  -41.81  -123.09   -71.70     0.88 S1)  ; 32
+        (  -41.23  -126.30   -74.60     0.29 S1)  ; 33
+        (  -42.69  -128.22   -75.05     0.29 S1)  ; 34
+        (  -44.14  -130.14   -75.30     0.29 S1)  ; 35
+        (  -44.44  -132.70   -77.32     0.29 S1)  ; 36
+        (  -45.90  -133.66   -78.95     0.29 S1)  ; 37
+        (  -46.77  -134.62   -79.55     0.29 S1)  ; 38
+        (  -47.06  -136.86   -80.75     0.29 S1)  ; 39
+        (  -49.11  -138.14   -82.17     0.29 S1)  ; 40
+        (  -50.86  -140.07   -83.23     0.29 S1)  ; 41
+        (  -53.19  -142.31   -83.63     0.29 S1)  ; 42
+        (  -55.82  -144.23   -82.57     0.29 S1)  ; 43
+        (  -56.98  -147.11   -81.50     0.29 S1)  ; 44
+        (  -58.44  -150.31   -81.03     0.29 S1)  ; 45
+        (  -60.49  -154.16   -81.43     0.29 S1)  ; 46
+        (  -61.36  -158.00   -81.43     0.29 S1)  ; 47
+        (  -63.99  -161.20   -82.07     0.29 S1)  ; 48
+        (  -66.03  -164.08   -83.63     0.29 S1)  ; 49
+        (  -67.20  -168.24   -83.95     0.29 S1)  ; 50
+        (  -66.91  -172.47   -83.95     0.29 S1)  ; 51
+        (  -67.20  -177.59   -85.30     0.29 S1)  ; 52
+        (  -66.91  -181.76   -82.68     0.29 S1)  ; 53
+        (  -68.95  -183.68   -81.17     0.29 S1)  ; 54
+        (  -70.12  -185.92   -79.80     0.29 S1)  ; 55
+        (  -68.95  -190.08   -77.13     0.29 S1)  ; 56
+         Normal
+      )  ;  End of split
+    )  ;  End of split
+  |
+    (   35.73    -2.06   -84.03     0.88 S1)  ; 1, R-2
+    (   33.98    -5.27   -83.27     0.88 S1)  ; 2
+    (   33.40    -7.83   -84.92     0.88 S1)  ; 3
+    (
+      (   35.15   -10.39   -84.92     0.58 S1)  ; 1, R-2-1
+      (   38.07   -12.63   -84.97     0.58 S1)  ; 2
+      (   39.53   -15.51   -85.68     0.58 S1)  ; 3
+      (   42.45   -17.75   -85.82     0.58 S1)  ; 4
+      (   45.07   -20.96   -83.75     0.58 S1)  ; 5
+      (   46.82   -23.84   -80.88     0.58 S1)  ; 6
+      (   47.99   -28.96   -80.73     0.58 S1)  ; 7
+      (   48.28   -33.76   -80.15     0.58 S1)  ; 8
+      (   48.87   -40.17   -79.22     0.58 S1)  ; 9
+      (   48.28   -43.05   -78.75     0.58 S1)  ; 10
+      (   48.57   -44.33   -78.28     0.58 S1)  ; 11
+      (   49.74   -47.21   -77.93     0.58 S1)  ; 12
+      (   49.74   -49.78   -75.30     0.58 S1)  ; 13
+      (   49.16   -53.94   -74.85     0.58 S1)  ; 14
+      (   48.28   -58.49   -76.88     0.29 S1)  ; 15
+      (   47.70   -60.73   -79.05     0.29 S1)  ; 16
+      (   47.99   -62.33   -80.73     0.29 S1)  ; 17
+      (   47.99   -65.53   -80.90     0.29 S1)  ; 18
+      (   46.53   -67.45   -81.10     0.29 S1)  ; 19
+      (   45.36   -70.33   -81.27     0.29 S1)  ; 20
+      (   47.12   -72.57   -81.50     0.29 S1)  ; 21
+      (   47.99   -75.46   -82.57     0.29 S1)  ; 22
+      (   49.74   -79.62   -84.12     0.29 S1)  ; 23
+      (   50.62   -81.54   -84.22     0.29 S1)  ; 24
+      (   50.62   -83.46   -84.52     0.29 S1)  ; 25
+      (   51.49   -84.10   -84.55     0.29 S1)  ; 26
+      (   52.66   -85.06   -84.80     0.29 S1)  ; 27
+      (   53.24   -87.94   -84.95     0.29 S1)  ; 28
+      (   54.12   -90.83   -82.90     0.29 S1)  ; 29
+      (   55.29   -93.39   -83.80     0.29 S1)  ; 30
+      (   56.75   -96.27   -83.75     0.29 S1)  ; 31
+      (   58.20   -98.83   -84.43     0.29 S1)  ; 32
+      (   59.96  -101.07   -87.45     0.29 S1)  ; 33
+      (   62.29  -103.38   -87.45     0.29 S1)  ; 34
+      (   63.75  -105.62   -89.10     0.29 S1)  ; 35
+      (   65.79  -106.26   -89.45     0.29 S1)  ; 36
+      (   66.96  -107.54   -89.88     0.29 S1)  ; 37
+      (   68.13  -109.14   -90.57     0.29 S1)  ; 38
+      (   69.88  -112.34   -90.45     0.29 S1)  ; 39
+      (   70.46  -114.91   -92.20     0.29 S1)  ; 40
+      (   71.04  -118.11   -89.88     0.29 S1)  ; 41
+      (   70.75  -120.67   -94.05     0.29 S1)  ; 42
+      (   72.50  -124.19   -95.22     0.29 S1)  ; 43
+      (   73.67  -124.83   -96.60     0.29 S1)  ; 44
+      (   75.42  -127.39   -96.65     0.29 S1)  ; 45
+      (   76.88  -129.64   -96.65     0.29 S1)  ; 46
+      (   78.92  -132.52   -92.35     0.29 S1)  ; 47
+      (   80.09  -135.72   -91.43     0.29 S1)  ; 48
+      (   82.42  -139.56   -91.25     0.29 S1)  ; 49
+      (   85.05  -142.44   -90.63     0.29 S1)  ; 50
+      (   85.34  -145.01   -93.45     0.29 S1)  ; 51
+      (   87.68  -147.63   -94.75     0.29 S1)  ; 52
+      (   89.72  -151.15   -95.45     0.29 S1)  ; 53
+      (   90.89  -154.04   -96.53     0.29 S1)  ; 54
+      (   90.01  -156.60   -98.23     0.29 S1)  ; 55
+      (   89.43  -159.16   -99.27     0.29 S1)  ; 56
+      (   90.30  -163.00  -101.65     0.29 S1)  ; 57
+      (   91.76  -164.60  -101.65     0.29 S1)  ; 58
+      (   93.51  -165.88  -103.53     0.29 S1)  ; 59
+       High
+    |
+      (   29.31    -9.81   -89.20     0.88 S1)  ; 1, R-2-2
+      (   26.69   -13.34   -90.30     0.88 S1)  ; 2
+      (   24.65   -14.94   -90.40     0.88 S1)  ; 3
+      (
+        (   25.81   -17.50   -90.95     0.58 S1)  ; 1, R-2-2-1
+        (   25.81   -19.10   -91.20     0.58 S1)  ; 2
+        (   24.94   -21.98   -91.93     0.58 S1)  ; 3
+        (   24.06   -25.18   -91.93     0.58 S1)  ; 4
+        (   22.89   -29.35   -92.17     0.58 S1)  ; 5
+        (   21.44   -32.23   -92.05     0.58 S1)  ; 6
+        (   20.85   -36.71   -92.40     0.58 S1)  ; 7
+        (   19.98   -40.87   -92.45     0.58 S1)  ; 8
+        (   19.39   -42.79   -92.60     0.58 S1)  ; 9
+        (   17.35   -45.36   -92.70     0.58 S1)  ; 10
+        (   14.72   -49.84   -92.70     0.58 S1)  ; 11
+        (   10.64   -54.32   -92.87     0.58 S1)  ; 12
+        (    7.72   -57.52   -93.13     0.58 S1)  ; 13
+        (    5.39   -61.37   -93.13     0.29 S1)  ; 14
+        (    3.34   -63.93   -93.57     0.29 S1)  ; 15
+        (    3.34   -65.53   -93.70     0.29 S1)  ; 16
+        (    4.22   -67.45   -93.70     0.29 S1)  ; 17
+        (    2.18   -71.61   -94.22     0.29 S1)  ; 18
+        (    1.01   -74.18   -95.82     0.29 S1)  ; 19
+        (   -0.45   -75.78   -98.42     0.29 S1)  ; 20
+        (   -1.03   -78.34  -100.28     0.29 S1)  ; 21
+        (   -1.62   -82.18  -100.28     0.29 S1)  ; 22
+        (   -3.95   -85.70  -102.63     0.29 S1)  ; 23
+        (   -5.41   -88.26  -103.20     0.29 S1)  ; 24
+        (   -7.16   -93.77  -102.52     0.29 S1)  ; 25
+        (   -7.45   -95.05  -103.50     0.29 S1)  ; 26
+        (   -9.20   -98.58  -104.45     0.29 S1)  ; 27
+        (  -12.12  -102.74  -108.80     0.29 S1)  ; 28
+        (  -12.12  -105.94  -109.07     0.29 S1)  ; 29
+        (  -11.54  -107.54  -111.77     0.29 S1)  ; 30
+         High
+      |
+        (   21.73   -16.54   -87.13     0.58 S1)  ; 1, R-2-2-2
+        (   20.56   -19.10   -84.38     0.58 S1)  ; 2
+        (   18.52   -20.70   -83.72     0.58 S1)  ; 3
+        (   15.89   -22.30   -86.25     0.58 S1)  ; 4
+        (   13.26   -24.54   -88.77     0.58 S1)  ; 5
+        (   10.64   -27.10   -89.70     0.58 S1)  ; 6
+        (    9.76   -28.39   -90.33     0.58 S1)  ; 7
+        (
+          (    9.18   -30.95   -90.33     0.29 S1)  ; 1, R-2-2-2-1
+          (    5.97   -33.51   -90.65     0.29 S1)  ; 2
+          (    3.63   -35.75   -91.50     0.29 S1)  ; 3
+          (    3.05   -37.03   -91.70     0.29 S1)  ; 4
+          (    1.88   -40.23   -93.65     0.29 S1)  ; 5
+          (    0.13   -42.47   -95.13     0.29 S1)  ; 6
+          (   -2.20   -43.76   -96.62     0.29 S1)  ; 7
+          (   -3.66   -46.64   -96.75     0.29 S1)  ; 8
+          (   -5.12   -50.80   -97.02     0.29 S1)  ; 9
+          (   -7.75   -53.36   -97.30     0.29 S1)  ; 10
+          (  -11.83   -55.28   -98.07     0.29 S1)  ; 11
+          (  -15.33   -55.92   -97.13     0.29 S1)  ; 12
+          (  -18.54   -57.52  -100.35     0.29 S1)  ; 13
+          (  -18.83   -59.45  -103.88     0.29 S1)  ; 14
+          (  -21.46   -64.25  -104.07     0.29 S1)  ; 15
+          (  -23.50   -67.45  -104.97     0.29 S1)  ; 16
+          (  -26.42   -70.33  -104.67     0.29 S1)  ; 17
+           High
+        |
+          (    6.84   -29.03   -92.45     0.58 S1)  ; 1, R-2-2-2-2
+          (    4.51   -28.71   -96.43     0.29 S1)  ; 2
+          (    1.30   -29.67   -98.27     0.29 S1)  ; 3
+          (   -2.49   -29.35  -102.07     0.29 S1)  ; 4
+          (   -6.29   -28.39  -102.80     0.29 S1)  ; 5
+          (   -8.91   -28.71  -103.63     0.29 S1)  ; 6
+          (  -14.46   -27.42  -103.88     0.29 S1)  ; 7
+          (  -17.08   -26.46  -107.55     0.29 S1)  ; 8
+          (  -20.59   -24.22  -112.02     0.29 S1)  ; 9
+          (  -22.92   -24.86  -113.75     0.29 S1)  ; 10
+          (  -27.30   -25.50  -115.07     0.29 S1)  ; 11
+           Incomplete
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color RGB (0, 255, 64))
+  (Dendrite)
+  (   37.78    17.15   -65.78     0.29 S1)  ; Root
+  (   36.32    16.19   -65.78     1.17 S1)  ; 1, R
+  (   34.28    16.83   -68.82     1.17 S1)  ; 2
+  (   32.52    17.47   -74.10     0.88 S1)  ; 3
+  (   29.61    17.47   -75.50     0.88 S1)  ; 4
+  (   28.15    16.19   -84.20     0.88 S1)  ; 5
+  (   26.40    15.55   -87.30     0.88 S1)  ; 6
+  (   22.89    17.79   -91.67     0.88 S1)  ; 7
+  (   19.68    19.07   -95.40     0.88 S1)  ; 8
+  (   17.64    18.11   -94.85     0.88 S1)  ; 9
+   Incomplete
+)  ;  End of tree
+
+( (Color RGB (255, 128, 128))
+  (Dendrite)
+  (   34.57    19.39   -56.08     0.88 S1)  ; Root
+  (   32.23    19.71   -56.08     1.17 S1)  ; 1, R
+  (   30.19    20.67   -57.82     1.17 S1)  ; 2
+  (   27.56    20.67   -60.22     1.17 S1)  ; 3
+  (   25.81    21.31   -63.90     1.17 S1)  ; 4
+  (   24.94    21.95   -66.57     1.17 S1)  ; 5
+  (
+    (   23.48    23.55   -66.32     0.58 S1)  ; 1, R-1
+    (   20.27    24.19   -67.72     0.58 S1)  ; 2
+    (   17.93    24.83   -69.45     0.29 S1)  ; 3
+    (   15.89    26.11   -71.43     0.29 S1)  ; 4
+    (   12.97    26.44   -73.40     0.29 S1)  ; 5
+    (   10.05    28.68   -75.07     0.29 S1)  ; 6
+    (    8.30    29.32   -77.03     0.29 S1)  ; 7
+    (    5.09    30.28   -78.93     0.29 S1)  ; 8
+    (    1.30    31.24   -80.92     0.29 S1)  ; 9
+    (   -2.49    31.88   -84.45     0.29 S1)  ; 10
+    (   -5.12    32.52   -85.82     0.29 S1)  ; 11
+    (   -8.33    33.16   -87.20     0.29 S1)  ; 12
+    (  -10.66    33.80   -88.85     0.29 S1)  ; 13
+    (  -12.71    36.04   -91.45     0.29 S1)  ; 14
+    (  -15.04    36.68   -95.28     0.29 S1)  ; 15
+    (  -17.38    39.56   -95.73     0.29 S1)  ; 16
+    (  -19.13    42.13   -98.05     0.29 S1)  ; 17
+    (  -22.34    45.33  -100.92     0.29 S1)  ; 18
+     High
+  |
+    (   21.73    20.99   -71.00     1.17 S1)  ; 1, R-2
+    (   18.23    20.67   -72.88     0.88 S1)  ; 2
+    (   16.77    20.03   -75.97     0.88 S1)  ; 3
+    (   14.43    18.75   -80.97     0.88 S1)  ; 4
+    (   12.10    16.19   -83.07     0.88 S1)  ; 5
+    (   10.35    13.31   -83.95     0.88 S1)  ; 6
+    (
+      (    8.89    10.42   -79.45     0.29 S1)  ; 1, R-2-1
+      (    7.43     7.54   -82.80     0.29 S1)  ; 2
+      (    3.05     4.02   -82.68     0.29 S1)  ; 3
+      (   -0.16     0.82   -81.25     0.29 S1)  ; 4
+      (   -3.66    -1.10   -82.57     0.29 S1)  ; 5
+      (   -8.91    -2.70   -84.52     0.29 S1)  ; 6
+      (  -12.41    -5.27   -85.10     0.29 S1)  ; 7
+      (  -17.67    -6.87   -85.42     0.29 S1)  ; 8
+      (  -20.00    -9.43   -85.52     0.29 S1)  ; 9
+      (  -22.92   -12.63   -85.55     0.29 S1)  ; 10
+      (  -25.55   -16.47   -85.88     0.29 S1)  ; 11
+      (  -26.13   -18.71   -86.00     0.29 S1)  ; 12
+      (  -24.96   -21.28   -86.00     0.29 S1)  ; 13
+      (  -25.84   -25.76   -86.20     0.29 S1)  ; 14
+      (  -29.05   -28.07   -85.68     0.29 S1)  ; 15
+      (  -29.05   -30.95   -81.45     0.29 S1)  ; 16
+      (  -29.05   -34.47   -80.65     0.29 S1)  ; 17
+      (  -29.63   -37.03   -80.37     0.29 S1)  ; 18
+      (  -33.43   -41.19   -80.10     0.29 S1)  ; 19
+      (  -36.05   -43.12   -78.38     0.29 S1)  ; 20
+      (  -40.72   -46.00   -82.92     0.29 S1)  ; 21
+      (  -43.93   -49.20   -81.65     0.29 S1)  ; 22
+      (  -46.27   -51.76   -77.97     0.29 S1)  ; 23
+      (  -49.77   -53.36   -77.45     0.29 S1)  ; 24
+      (  -52.60   -54.64   -79.30     0.29 S1)  ; 25
+      (  -53.77   -56.24   -76.60     0.29 S1)  ; 26
+      (  -55.81   -57.52   -70.90     0.29 S1)  ; 27
+      (  -58.43   -59.13   -69.30     0.29 S1)  ; 28
+      (  -59.31   -62.01   -68.65     0.29 S1)  ; 29
+      (  -60.48   -63.93   -67.88     0.29 S1)  ; 30
+      (  -60.77   -65.85   -67.03     0.29 S1)  ; 31
+      (  -61.64   -68.73   -65.80     0.29 S1)  ; 32
+       Normal
+    |
+      (    8.68    13.95   -83.95     0.88 S1)  ; 1, R-2-2
+      (    7.52    12.35   -91.17     0.88 S1)  ; 2
+      (    6.64    10.42   -93.80     0.88 S1)  ; 3
+      (    4.89     9.78   -94.97     0.88 S1)  ; 4
+      (    3.14     9.78   -96.62     0.88 S1)  ; 5
+       Incomplete
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color Orange)
+  (Apical)
+  (   43.94    27.29   -50.25    10.80 S1)  ; Root
+  (   43.94    27.29   -50.25    10.80 S1)  ; 1, R
+  (   43.42    31.55   -50.13     8.23 S1)  ; 2
+  (   42.14    35.52   -50.22     6.69 S1)  ; 3
+  (   41.11    39.22   -51.38     5.40 S1)  ; 4
+  (   40.08    42.91   -52.40     4.37 S1)  ; 5
+  (   40.08    46.89   -53.18     4.37 S1)  ; 6
+  (   39.82    48.88   -53.58     4.11 S1)  ; 7
+  (   38.02    51.43   -50.85     3.86 S1)  ; 8
+  (   36.48    54.84   -51.52     3.60 S1)  ; 9
+  (   35.71    58.82   -53.13     3.60 S1)  ; 10
+  (   35.45    63.36   -55.92     3.60 S1)  ; 11
+  (   32.88    68.19   -58.25     3.86 S1)  ; 12
+  (
+    (   32.88    71.03   -55.05     3.86 S1)  ; 1, R-1
+    (   32.36    73.87   -51.90     3.34 S1)  ; 2
+    (   32.62    76.72   -50.20     2.57 S1)  ; 3
+    (   30.82    80.41   -46.90     3.09 S1)  ; 4
+    (   29.54    86.09   -46.57     3.09 S1)  ; 5
+    (   28.76    91.77   -46.38     3.09 S1)  ; 6
+    (   28.25    97.17   -45.70     3.09 S1)  ; 7
+    (   27.30   102.85   -46.93     3.09 S1)  ; 8
+    (   26.27   108.82   -47.28     3.09 S1)  ; 9
+    (   25.50   114.50   -46.05     3.09 S1)  ; 10
+    (   25.50   117.96   -43.50     3.09 S1)  ; 11
+    (   26.27   122.51   -42.40     3.09 S1)  ; 12
+    (   26.78   125.92   -42.17     3.09 S1)  ; 13
+    (   26.54   126.47   -42.17     3.09 S1)  ; 14
+
+    (Cross
+      (Color Green)
+      (Name "Marker 3")
+      (   33.32    78.97   -55.74     0.07 S1)  ; 1
+      (   30.82    87.13   -50.50     0.07 S1)  ; 2
+      (   31.56    88.75   -49.20     0.07 S1)  ; 3
+      (   29.58    90.00   -49.16     0.07 S1)  ; 4
+      (   29.14   102.50   -48.74     0.07 S1)  ; 5
+      (   26.79   104.26   -48.74     0.07 S1)  ; 6
+      (   25.76   100.88   -48.45     0.07 S1)  ; 7
+      (   26.05   100.07   -48.45     0.07 S1)  ; 8
+      (   28.84   100.51   -47.95     0.07 S1)  ; 9
+      (   27.45    97.64   -48.66     0.07 S1)  ; 10
+      (   24.58   100.44   -49.86     0.07 S1)  ; 11
+      (   24.29   103.01   -49.86     0.07 S1)  ; 12
+      (   23.77   103.97   -51.06     0.07 S1)  ; 13
+      (   23.77   107.79   -51.80     0.07 S1)  ; 14
+      (   23.04   112.42   -50.44     0.07 S1)  ; 15
+      (   22.75   115.95   -49.39     0.07 S1)  ; 16
+      (   27.08   111.98   -47.92     0.07 S1)  ; 17
+      (   22.89   118.82   -47.57     0.07 S1)  ; 18
+      (   27.79   121.94   -46.59     0.07 S1)  ; 19
+      (   28.23   123.92   -45.39     0.07 S1)  ; 20
+      (   26.54   120.47   -45.39     0.07 S1)  ; 21
+      (   23.82   120.47   -45.39     0.07 S1)  ; 22
+      (   23.97   121.72   -45.39     0.07 S1)  ; 23
+      (   24.56   123.63   -44.15     0.07 S1)  ; 24
+      (   26.10   124.80   -44.15     0.07 S1)  ; 25
+      (   26.91   125.10   -44.15     0.07 S1)  ; 26
+    )  ;  End of markers
+    (
+      (   25.67   129.60   -42.22     3.09 S1)  ; 1, R-1-1
+      (   25.67   134.14   -43.13     3.09 S1)  ; 2
+      (   26.19   137.83   -44.58     3.09 S1)  ; 3
+      (   26.70   142.66   -45.45     3.09 S1)  ; 4
+      (   25.41   145.79   -46.75     3.09 S1)  ; 5
+      (   25.16   149.48   -48.40     3.09 S1)  ; 6
+      (   26.70   153.46   -49.40     3.09 S1)  ; 7
+      (
+        (   27.21   157.49   -48.45     3.09 S1)  ; 1, R-1-1-1
+        (   24.90   161.19   -48.02     3.09 S1)  ; 2
+        (   25.16   164.88   -47.13     3.09 S1)  ; 3
+        (   26.70   168.86   -46.40     3.09 S1)  ; 4
+        (   27.73   173.69   -45.52     3.09 S1)  ; 5
+        (   27.47   179.94   -45.25     3.09 S1)  ; 6
+        (   26.19   186.19   -45.13     3.09 S1)  ; 7
+        (   25.93   192.43   -44.95     3.09 S1)  ; 8
+        (   25.36   192.82   -44.95     3.09 S1)  ; 9
+
+        (Cross
+          (Color Green)
+          (Name "Marker 3")
+          (   28.87   156.66   -48.51     0.07 S1)  ; 1
+          (   28.14   160.04   -48.62     0.07 S1)  ; 2
+          (   28.06   158.27   -47.65     0.07 S1)  ; 3
+          (   25.64   154.97   -48.33     0.07 S1)  ; 4
+          (   25.13   159.96   -48.35     0.07 S1)  ; 5
+          (   24.17   161.36   -48.35     0.07 S1)  ; 6
+          (   28.21   155.11   -45.40     0.07 S1)  ; 7
+          (   24.32   160.11   -48.54     0.07 S1)  ; 8
+          (   27.18   164.74   -48.94     0.07 S1)  ; 9
+          (   28.50   166.88   -48.94     0.07 S1)  ; 10
+          (   28.80   165.85   -49.75     0.07 S1)  ; 11
+          (   24.46   169.74   -50.10     0.07 S1)  ; 12
+          (   22.92   165.63   -51.05     0.07 S1)  ; 13
+          (   27.26   163.05   -51.05     0.07 S1)  ; 14
+          (   27.48   165.55   -51.05     0.07 S1)  ; 15
+          (   23.58   162.54   -52.35     0.07 S1)  ; 16
+          (   26.59   162.24   -52.02     0.07 S1)  ; 17
+          (   29.24   167.83   -46.40     0.07 S1)  ; 18
+          (   23.66   172.76   -46.35     0.07 S1)  ; 19
+          (   30.85   174.67   -46.35     0.07 S1)  ; 20
+          (   29.75   175.48   -46.34     0.07 S1)  ; 21
+          (   30.41   176.95   -45.79     0.07 S1)  ; 22
+          (   29.53   179.16   -45.79     0.07 S1)  ; 23
+          (   29.83   180.85   -45.79     0.07 S1)  ; 24
+          (   29.16   183.86   -45.79     0.07 S1)  ; 25
+          (   24.02   181.29   -46.04     0.07 S1)  ; 26
+          (   23.58   184.08   -46.04     0.07 S1)  ; 27
+          (   28.80   185.92   -45.91     0.07 S1)  ; 28
+          (   27.92   186.88   -45.61     0.07 S1)  ; 29
+          (   27.99   187.76   -46.64     0.07 S1)  ; 30
+          (   28.94   187.10   -46.64     0.07 S1)  ; 31
+          (   23.44   186.51   -47.66     0.07 S1)  ; 32
+          (   27.40   173.64   -43.85     0.07 S1)  ; 33
+          (   28.72   172.91   -43.85     0.07 S1)  ; 34
+          (   24.91   174.16   -43.85     0.07 S1)  ; 35
+          (   29.83   176.36   -43.85     0.07 S1)  ; 36
+          (   29.39   177.24   -43.85     0.07 S1)  ; 37
+          (   28.50   182.46   -43.85     0.07 S1)  ; 38
+          (   28.94   181.80   -43.85     0.07 S1)  ; 39
+          (   27.92   185.18   -43.85     0.07 S1)  ; 40
+          (   28.50   177.54   -43.25     0.07 S1)  ; 41
+          (   26.08   176.88   -43.25     0.07 S1)  ; 42
+          (   26.89   178.49   -43.25     0.07 S1)  ; 43
+          (   28.14   179.52   -43.25     0.07 S1)  ; 44
+          (   28.94   175.48   -43.25     0.07 S1)  ; 45
+          (   27.18   176.14   -43.25     0.07 S1)  ; 46
+          (   26.59   182.10   -43.25     0.07 S1)  ; 47
+          (   28.94   180.70   -43.25     0.07 S1)  ; 48
+          (   22.78   188.05   -45.06     0.07 S1)  ; 49
+          (   27.33   192.10   -45.06     0.07 S1)  ; 50
+          (   23.14   189.38   -45.68     0.07 S1)  ; 51
+          (   26.59   185.18   -45.68     0.07 S1)  ; 52
+          (   27.33   187.68   -45.68     0.07 S1)  ; 53
+          (   25.42   185.63   -46.26     0.07 S1)  ; 54
+          (   24.68   191.95   -45.66     0.07 S1)  ; 55
+          (   23.29   191.95   -46.61     0.07 S1)  ; 56
+          (   28.80   190.85   -48.30     0.07 S1)  ; 57
+          (   24.32   189.01   -48.30     0.07 S1)  ; 58
+          (   26.74   180.04   -47.46     0.07 S1)  ; 59
+          (   24.83   179.82   -47.02     0.07 S1)  ; 60
+          (   25.86   175.18   -45.88     0.07 S1)  ; 61
+          (   27.26   166.44   -45.07     0.07 S1)  ; 62
+          (   28.72   169.23   -45.07     0.07 S1)  ; 63
+          (   27.40   169.01   -44.40     0.07 S1)  ; 64
+          (   25.35   172.10   -45.48     0.07 S1)  ; 65
+        )  ;  End of markers
+        (
+          (   25.41   196.70   -44.32     3.09 S1)  ; 1, R-1-1-1-1
+          (   24.64   200.11   -44.07     3.09 S1)  ; 2
+          (
+            (   22.27   200.40   -44.30     1.46 S1)  ; 1, R-1-1-1-1-1
+            (   19.63   200.40   -44.30     0.88 S1)  ; 2
+            (   17.00   200.08   -45.22     0.88 S1)  ; 3
+            (   15.54   200.40   -46.60     0.88 S1)  ; 4
+            (
+              (   13.66   202.46   -46.93     0.88 S1)  ; 1, R-1-1-1-1-1-1
+              (   10.74   204.05   -49.20     0.88 S1)  ; 2
+              (    8.11   205.32   -49.72     0.88 S1)  ; 3
+              (    5.77   206.91   -50.10     0.88 S1)  ; 4
+              (    4.01   207.86   -51.60     0.88 S1)  ; 5
+              (
+                (    0.50   208.50   -50.63     0.88 S1)  ; 1, R-1-1-1-1-1-1-1
+                (   -2.43   208.18   -52.92     0.88 S1)  ; 2
+                (   -5.94   207.86   -57.37     0.88 S1)  ; 3
+                (  -10.03   208.18   -59.02     0.88 S1)  ; 4
+                (  -14.13   208.18   -60.00     0.88 S1)  ; 5
+                (  -16.17   208.18   -62.70     0.88 S1)  ; 6
+                (  -18.22   207.86   -65.18     0.88 S1)  ; 7
+                (  -19.35   208.14   -65.18     0.88 S1)  ; 8
+                (
+                  (  -20.23   208.77   -58.72     0.59 S1)  ; 1, R-1-1-1-1-1-1-1-1
+                  (  -21.10   208.77   -54.20     0.59 S1)  ; 2
+                  (  -21.98   207.82   -49.10     0.59 S1)  ; 3
+                  (  -23.74   207.50   -48.18     0.59 S1)  ; 4
+                  (  -24.61   207.18   -47.15     0.59 S1)  ; 5
+                  (  -25.78   207.82   -43.38     0.59 S1)  ; 6
+                  (  -26.95   209.09   -41.70     0.59 S1)  ; 7
+                  (  -28.12   208.77   -41.08     0.59 S1)  ; 8
+                  (  -30.17   210.05   -40.35     0.59 S1)  ; 9
+                  (  -30.76   211.00   -38.65     0.59 S1)  ; 10
+                  (  -32.22   212.91   -38.45     0.59 S1)  ; 11
+                  (  -34.85   212.91   -37.95     0.29 S1)  ; 12
+                  (  -36.90   213.86   -37.67     0.29 S1)  ; 13
+                  (  -38.36   213.55   -37.50     0.29 S1)  ; 14
+                   Normal
+                |
+                  (  -21.73   208.18   -67.55     0.59 S1)  ; 1, R-1-1-1-1-1-1-1-2
+                  (  -24.66   209.77   -69.42     0.59 S1)  ; 2
+                  (  -27.87   211.05   -70.32     0.59 S1)  ; 3
+                  (  -30.51   211.68   -72.50     0.59 S1)  ; 4
+                  (  -34.60   212.00   -72.63     0.59 S1)  ; 5
+                  (  -38.40   212.64   -72.50     0.59 S1)  ; 6
+                  (  -41.62   213.59   -72.65     0.59 S1)  ; 7
+                  (  -44.25   215.82   -73.53     0.59 S1)  ; 8
+                  (  -46.89   218.05   -73.63     0.59 S1)  ; 9
+                  (  -49.23   220.27   -74.22     0.59 S1)  ; 10
+                  (  -52.44   221.86   -75.22     0.59 S1)  ; 11
+                  (  -55.08   223.46   -76.17     0.59 S1)  ; 12
+                  (  -58.88   225.68   -76.47     0.59 S1)  ; 13
+                  (  -62.97   226.96   -76.60     0.59 S1)  ; 14
+                  (  -65.61   227.91   -76.97     0.59 S1)  ; 15
+                  (  -68.53   228.86   -78.17     0.59 S1)  ; 16
+                  (  -70.87   228.55   -78.40     0.59 S1)  ; 17
+                  (  -72.92   228.23   -73.25     0.59 S1)  ; 18
+                  (  -77.52   227.97   -70.92     0.59 S1)  ; 19
+                  (  -81.62   228.61   -69.82     0.59 S1)  ; 20
+                  (  -86.01   228.93   -68.13     0.59 S1)  ; 21
+                  (  -88.93   229.25   -67.68     0.59 S1)  ; 22
+                  (  -91.56   229.88   -67.30     0.59 S1)  ; 23
+                  (  -95.95   230.52   -67.03     0.59 S1)  ; 24
+                  (  -98.00   230.20   -66.88     0.59 S1)  ; 25
+                  ( -101.22   231.15   -66.70     0.59 S1)  ; 26
+                  ( -103.85   232.75   -66.70     0.59 S1)  ; 27
+                  ( -107.36   232.75   -66.40     0.59 S1)  ; 28
+                  ( -109.99   232.11   -66.17     0.59 S1)  ; 29
+                  ( -113.50   232.75   -66.13     0.59 S1)  ; 30
+                  ( -116.43   231.79   -65.78     0.59 S1)  ; 31
+                  ( -121.40   232.43   -65.78     0.59 S1)  ; 32
+                  ( -124.32   233.00   -71.55     0.59 S1)  ; 33
+                  ( -128.41   232.36   -70.78     0.59 S1)  ; 34
+                  ( -132.22   232.68   -70.57     0.59 S1)  ; 35
+                  ( -135.43   231.41   -70.22     0.59 S1)  ; 36
+                  ( -137.48   229.50   -66.20     0.59 S1)  ; 37
+                  ( -141.58   227.91   -64.50     0.59 S1)  ; 38
+                  ( -146.26   227.91   -63.90     0.59 S1)  ; 39
+                  ( -150.06   227.91   -63.13     0.59 S1)  ; 40
+                  ( -153.28   229.18   -62.70     0.59 S1)  ; 41
+                  ( -154.45   229.82   -64.92     0.59 S1)  ; 42
+                   Normal
+                )  ;  End of split
+              |
+                (    1.96   209.46   -43.35     0.88 S1)  ; 1, R-1-1-1-1-1-1-2
+                (    0.50   210.73   -41.30     0.88 S1)  ; 2
+                (   -2.13   212.32   -38.13     0.88 S1)  ; 3
+                (   -3.30   213.91   -35.10     0.88 S1)  ; 4
+                (   -2.43   216.46   -33.30     0.88 S1)  ; 5
+                (   -1.55   218.68   -32.75     0.88 S1)  ; 6
+                (   -1.84   221.86   -31.22     0.88 S1)  ; 7
+                (   -2.72   224.09   -30.23     0.88 S1)  ; 8
+                (   -1.55   226.32   -28.05     0.88 S1)  ; 9
+                (   -0.67   228.86   -27.85     0.88 S1)  ; 10
+                (   -1.55   231.73   -27.55     0.88 S1)  ; 11
+                (   -0.96   233.96   -23.30     0.88 S1)  ; 12
+                (    1.67   235.23   -20.67     0.88 S1)  ; 13
+                (    2.84   237.46   -19.30     0.88 S1)  ; 14
+                (    4.89   238.09   -18.05     0.59 S1)  ; 15
+                (    5.47   239.05   -15.88     0.59 S1)  ; 16
+                (    6.35   240.64   -13.87     0.59 S1)  ; 17
+                (    7.23   241.59   -12.38     0.59 S1)  ; 18
+                (    8.98   241.91   -12.22     0.59 S1)  ; 19
+                (   10.15   241.59   -12.02     0.59 S1)  ; 20
+                (   10.74   242.86   -11.65     0.59 S1)  ; 21
+                (   10.45   244.46   -11.65     0.59 S1)  ; 22
+                (   11.32   246.68   -11.27     0.59 S1)  ; 23
+                (   12.20   248.59   -11.02     0.59 S1)  ; 24
+                (   11.91   251.46    -9.95     0.59 S1)  ; 25
+                (   11.91   254.32    -9.52     0.59 S1)  ; 26
+                (   13.08   256.55    -8.88     0.59 S1)  ; 27
+                (   14.25   257.18    -8.68     0.59 S1)  ; 28
+                 Normal
+              )  ;  End of split
+            |
+              (   12.03   200.08   -46.20     0.88 S1)  ; 1, R-1-1-1-1-1-2
+              (
+                (    9.57   201.82   -43.22     0.88 S1)  ; 1, R-1-1-1-1-1-2-1
+                (    6.94   203.09   -42.40     0.88 S1)  ; 2
+                (    4.60   204.05   -41.88     0.88 S1)  ; 3
+                (    3.13   203.09   -40.65     0.88 S1)  ; 4
+                (    1.38   202.14   -35.22     0.88 S1)  ; 5
+                (   -0.96   202.14   -34.08     0.88 S1)  ; 6
+                (   -3.30   202.46   -32.25     0.88 S1)  ; 7
+                (   -5.35   201.82   -31.25     0.88 S1)  ; 8
+                (   -7.11   202.14   -30.45     0.88 S1)  ; 9
+                (   -8.86   202.14   -29.52     0.88 S1)  ; 10
+                (  -11.20   203.09   -28.75     0.59 S1)  ; 11
+                (  -14.42   204.05   -28.52     0.59 S1)  ; 12
+                (  -15.88   205.00   -25.70     0.59 S1)  ; 13
+                (  -16.17   205.32   -24.95     0.59 S1)  ; 14
+                (  -17.05   204.68   -24.08     0.59 S1)  ; 15
+                (  -17.64   204.36   -22.47     0.59 S1)  ; 16
+                (  -19.10   204.36   -21.95     0.59 S1)  ; 17
+                (  -21.15   205.00   -21.95     0.59 S1)  ; 18
+                (  -22.90   205.96   -21.52     0.59 S1)  ; 19
+                (  -24.66   206.59   -20.10     0.59 S1)  ; 20
+                (  -27.00   207.23   -17.70     0.59 S1)  ; 21
+                (  -27.87   207.23   -17.40     0.59 S1)  ; 22
+                (  -29.34   206.59   -15.85     0.59 S1)  ; 23
+                (  -31.09   206.27   -15.45     0.59 S1)  ; 24
+                (  -33.14   206.27   -15.25     0.59 S1)  ; 25
+                (  -35.19   205.96   -15.15     0.59 S1)  ; 26
+                (  -35.77   205.32   -14.97     0.59 S1)  ; 27
+                (  -37.23   206.27   -14.72     0.59 S1)  ; 28
+                (  -38.40   205.96   -13.52     0.59 S1)  ; 29
+                (  -39.28   206.27   -13.52     0.59 S1)  ; 30
+                (  -41.33   205.64   -10.90     0.59 S1)  ; 31
+                (  -43.67   205.96   -10.80     0.59 S1)  ; 32
+                (  -46.01   205.64   -10.52     0.59 S1)  ; 33
+                (  -47.18   205.00    -9.55     0.59 S1)  ; 34
+                (  -48.93   205.00    -9.45     0.59 S1)  ; 35
+                (  -50.98   204.36    -8.38     0.59 S1)  ; 36
+                (  -52.44   203.73    -8.38     0.59 S1)  ; 37
+                (  -55.08   204.05    -7.63     0.59 S1)  ; 38
+                (  -55.95   205.00    -6.82     0.59 S1)  ; 39
+                (  -56.25   205.64    -5.40     0.59 S1)  ; 40
+                (  -57.71   204.68    -3.47     0.59 S1)  ; 41
+                (  -58.88   203.09    -3.47     0.59 S1)  ; 42
+                (  -60.63   201.82    -3.13     0.59 S1)  ; 43
+                (  -63.56   201.82    -2.90     0.59 S1)  ; 44
+                (  -64.14   199.59    -1.20     0.59 S1)  ; 45
+                (  -65.31   199.59    -0.93     0.59 S1)  ; 46
+                (  -67.07   200.55     1.17     0.59 S1)  ; 47
+                (  -67.95   199.59     1.58     0.59 S1)  ; 48
+                (  -68.53   197.68     2.22     0.59 S1)  ; 49
+                (  -70.58   197.36     4.17     0.59 S1)  ; 50
+                (  -71.16   197.05     5.15     0.59 S1)  ; 51
+                (  -73.50   197.36     6.70     0.59 S1)  ; 52
+                (  -74.38   197.05     7.30     0.59 S1)  ; 53
+                 Normal
+              |
+                (    8.23   199.13   -48.30     0.88 S1)  ; 1, R-1-1-1-1-1-2-2
+                (    4.72   198.17   -49.20     0.88 S1)  ; 2
+                (    2.96   196.58   -50.85     0.88 S1)  ; 3
+                (    2.08   194.04   -51.47     0.88 S1)  ; 4
+                (   -0.26   192.13   -51.72     0.88 S1)  ; 5
+                (   -2.30   191.17   -49.07     0.88 S1)  ; 6
+                (   -4.35   189.90   -46.55     0.88 S1)  ; 7
+                (   -6.40   188.31   -46.47     0.88 S1)  ; 8
+                (   -6.98   186.08   -46.00     0.88 S1)  ; 9
+                (   -8.74   184.17   -50.68     0.88 S1)  ; 10
+                (  -10.20   183.22   -53.65     0.88 S1)  ; 11
+                (  -12.25   182.26   -55.40     0.88 S1)  ; 12
+                (  -14.30   180.35   -55.88     0.88 S1)  ; 13
+                (  -15.47   177.81   -55.90     0.88 S1)  ; 14
+                (  -16.64   175.90   -56.03     0.88 S1)  ; 15
+                (  -18.10   173.99   -56.32     0.88 S1)  ; 16
+                (  -19.85   172.72   -57.77     0.88 S1)  ; 17
+                (  -21.32   171.13   -56.45     0.88 S1)  ; 18
+                (  -23.36   169.85   -56.72     0.88 S1)  ; 19
+                (  -26.00   168.90   -54.87     0.88 S1)  ; 20
+                (  -26.87   166.99   -54.10     0.88 S1)  ; 21
+                (  -26.87   165.08   -57.60     0.88 S1)  ; 22
+                (  -28.04   162.54   -60.40     0.88 S1)  ; 23
+                (  -29.21   159.04   -61.60     0.59 S1)  ; 24
+                (  -30.68   157.13   -62.95     0.59 S1)  ; 25
+                (  -31.85   156.49   -64.13     0.59 S1)  ; 26
+                (  -33.89   155.54   -64.50     0.59 S1)  ; 27
+                (  -36.82   154.58   -66.25     0.59 S1)  ; 28
+                (  -37.99   153.63   -67.77     0.59 S1)  ; 29
+                (  -38.57   152.04   -68.35     0.59 S1)  ; 30
+                (  -39.74   150.13   -68.60     0.59 S1)  ; 31
+                (  -41.50   147.90   -69.05     0.59 S1)  ; 32
+                (  -41.50   145.04   -70.30     0.59 S1)  ; 33
+                (  -43.55   142.81   -70.47     0.59 S1)  ; 34
+                (  -44.72   139.63   -70.85     0.59 S1)  ; 35
+                (  -46.47   137.40   -72.25     0.59 S1)  ; 36
+                (  -49.10   134.54   -72.85     0.59 S1)  ; 37
+                (  -51.86   133.98   -74.78     0.59 S1)  ; 38
+                (  -53.61   131.44   -75.00     0.59 S1)  ; 39
+                (  -55.37   129.85   -75.92     0.59 S1)  ; 40
+                (  -57.71   127.94   -78.72     0.59 S1)  ; 41
+                (  -59.46   126.66   -79.65     0.59 S1)  ; 42
+                (  -59.46   124.12   -80.70     0.59 S1)  ; 43
+                (  -61.22   123.48   -81.10     0.59 S1)  ; 44
+                (  -62.68   121.89   -82.50     0.59 S1)  ; 45
+                (  -63.27   119.66   -82.68     0.59 S1)  ; 46
+                (  -65.02   119.03   -84.05     0.59 S1)  ; 47
+                (  -66.19   117.75   -85.22     0.59 S1)  ; 48
+                (  -67.65   116.80   -87.52     0.59 S1)  ; 49
+                (  -70.58   115.84   -89.72     0.59 S1)  ; 50
+                (  -72.33   115.53   -89.75     0.59 S1)  ; 51
+                (  -74.09   114.57   -90.28     0.59 S1)  ; 52
+                (  -76.43   114.57   -91.13     0.59 S1)  ; 53
+                 Normal
+              )  ;  End of split
+            )  ;  End of split
+          |
+            (   26.44   202.66   -48.27     2.57 S1)  ; 1, R-1-1-1-1-2
+            (   26.19   206.07   -48.60     2.57 S1)  ; 2
+            (   25.16   208.91   -48.72     2.57 S1)  ; 3
+            (   24.90   211.81   -45.60     2.57 S1)  ; 4
+            (   25.41   215.79   -44.55     2.57 S1)  ; 5
+            (   26.19   220.33   -44.07     2.57 S1)  ; 6
+            (   26.44   225.16   -42.75     2.57 S1)  ; 7
+            (   26.96   228.85   -42.72     2.57 S1)  ; 8
+            (   27.73   231.69   -43.53     2.57 S1)  ; 9
+            (   29.01   234.54   -47.25     2.57 S1)  ; 10
+            (   28.76   237.94   -48.55     2.57 S1)  ; 11
+            (   28.76   242.49   -48.85     2.57 S1)  ; 12
+            (   29.01   247.32   -49.87     2.57 S1)  ; 13
+            (   29.01   253.00   -50.42     2.57 S1)  ; 14
+            (   29.53   257.32   -50.60     2.83 S1)  ; 15
+
+            (Cross
+              (Color Green)
+              (Name "Marker 3")
+              (   28.65   202.28   -48.67     0.07 S1)  ; 1
+              (   29.39   203.82   -48.67     0.07 S1)  ; 2
+              (   28.65   204.93   -48.67     0.07 S1)  ; 3
+              (   25.27   202.87   -47.30     0.07 S1)  ; 4
+              (   23.66   202.57   -47.30     0.07 S1)  ; 5
+              (   24.24   205.96   -47.30     0.07 S1)  ; 6
+              (   28.28   203.38   -46.74     0.07 S1)  ; 7
+              (   28.50   207.35   -48.92     0.07 S1)  ; 8
+              (   27.92   208.53   -48.92     0.07 S1)  ; 9
+              (   27.62   209.41   -48.92     0.07 S1)  ; 10
+              (   28.28   210.22   -48.92     0.07 S1)  ; 11
+              (   28.87   208.90   -49.74     0.07 S1)  ; 12
+              (   28.94   207.57   -49.74     0.07 S1)  ; 13
+              (   26.59   212.87   -49.74     0.07 S1)  ; 14
+              (   24.83   206.69   -47.30     0.07 S1)  ; 15
+              (   24.91   207.57   -47.30     0.07 S1)  ; 16
+              (   26.74   206.62   -47.30     0.07 S1)  ; 17
+              (   27.40   209.78   -47.30     0.07 S1)  ; 18
+              (   27.40   210.74   -47.30     0.07 S1)  ; 19
+              (   28.36   212.43   -47.30     0.07 S1)  ; 20
+              (   23.07   210.66   -46.05     0.07 S1)  ; 21
+              (   22.48   212.87   -46.05     0.07 S1)  ; 22
+              (   23.07   213.38   -46.05     0.07 S1)  ; 23
+              (   23.66   211.91   -46.05     0.07 S1)  ; 24
+              (   24.68   209.71   -46.05     0.07 S1)  ; 25
+              (   23.66   208.31   -45.72     0.07 S1)  ; 26
+              (   26.45   209.85   -45.72     0.07 S1)  ; 27
+              (   26.96   211.40   -48.54     0.07 S1)  ; 28
+              (   23.66   217.13   -46.89     0.07 S1)  ; 29
+              (   22.85   215.00   -45.81     0.07 S1)  ; 30
+              (   23.14   216.18   -45.81     0.07 S1)  ; 31
+              (   26.37   213.82   -44.56     0.07 S1)  ; 32
+              (   28.80   216.76   -44.56     0.07 S1)  ; 33
+              (   24.76   216.84   -44.56     0.07 S1)  ; 34
+              (   24.46   217.35   -44.56     0.07 S1)  ; 35
+              (   28.06   215.96   -46.14     0.07 S1)  ; 36
+              (   27.04   212.50   -47.17     0.07 S1)  ; 37
+              (   27.33   218.01   -44.56     0.07 S1)  ; 38
+              (   23.66   219.26   -43.39     0.07 S1)  ; 39
+              (   25.35   219.26   -43.66     0.07 S1)  ; 40
+              (   29.02   218.75   -44.75     0.07 S1)  ; 41
+              (   28.65   217.87   -48.33     0.07 S1)  ; 42
+              (   24.02   220.22   -46.40     0.07 S1)  ; 43
+              (   29.02   222.57   -44.36     0.07 S1)  ; 44
+              (   28.50   223.31   -44.36     0.07 S1)  ; 45
+              (   29.16   225.00   -44.36     0.07 S1)  ; 46
+              (   29.39   225.88   -44.36     0.07 S1)  ; 47
+              (   23.73   224.56   -44.36     0.07 S1)  ; 48
+              (   23.29   225.59   -44.36     0.07 S1)  ; 49
+              (   23.29   220.37   -44.35     0.07 S1)  ; 50
+              (   28.72   221.47   -43.20     0.07 S1)  ; 51
+              (   24.54   227.28   -43.20     0.07 S1)  ; 52
+              (   29.39   226.76   -43.20     0.07 S1)  ; 53
+              (   29.24   228.75   -42.85     0.07 S1)  ; 54
+              (   29.68   230.51   -42.85     0.07 S1)  ; 55
+              (   25.49   230.59   -42.85     0.07 S1)  ; 56
+              (   25.64   231.54   -42.85     0.07 S1)  ; 57
+              (   25.27   232.79   -42.85     0.07 S1)  ; 58
+              (   24.83   229.63   -42.85     0.07 S1)  ; 59
+              (   25.49   228.31   -42.85     0.07 S1)  ; 60
+              (   26.74   232.50   -41.59     0.07 S1)  ; 61
+              (   27.55   221.47   -41.59     0.07 S1)  ; 62
+              (   27.55   222.21   -41.59     0.07 S1)  ; 63
+              (   27.92   225.15   -41.59     0.07 S1)  ; 64
+              (   27.99   227.06   -41.59     0.07 S1)  ; 65
+              (   27.48   229.04   -41.59     0.07 S1)  ; 66
+              (   28.36   229.63   -41.59     0.07 S1)  ; 67
+              (   27.92   229.85   -41.59     0.07 S1)  ; 68
+              (   29.39   231.40   -41.59     0.07 S1)  ; 69
+              (   24.02   222.94   -41.59     0.07 S1)  ; 70
+              (   24.46   226.62   -40.91     0.07 S1)  ; 71
+              (   26.08   226.25   -40.91     0.07 S1)  ; 72
+              (   25.71   225.07   -40.91     0.07 S1)  ; 73
+              (   24.98   220.74   -40.13     0.07 S1)  ; 74
+              (   25.27   223.60   -40.13     0.07 S1)  ; 75
+              (   26.30   221.84   -40.76     0.07 S1)  ; 76
+              (   26.23   222.79   -40.76     0.07 S1)  ; 77
+              (   31.96   233.31   -45.61     0.07 S1)  ; 78
+              (   32.69   234.04   -45.61     0.07 S1)  ; 79
+              (   25.79   233.97   -46.76     0.07 S1)  ; 80
+              (   30.12   231.10   -45.30     0.07 S1)  ; 81
+              (   27.84   235.51   -45.30     0.07 S1)  ; 82
+              (   27.04   236.54   -45.30     0.07 S1)  ; 83
+              (   25.93   237.79   -45.30     0.07 S1)  ; 84
+              (   26.59   239.12   -45.38     0.07 S1)  ; 85
+              (   32.47   238.53   -46.03     0.07 S1)  ; 86
+              (   32.47   239.63   -46.03     0.07 S1)  ; 87
+              (   30.19   236.18   -44.85     0.07 S1)  ; 88
+              (   30.41   238.16   -44.85     0.07 S1)  ; 89
+              (   30.93   236.91   -44.85     0.07 S1)  ; 90
+              (   30.63   240.51   -43.85     0.07 S1)  ; 91
+              (   30.93   241.84   -43.85     0.07 S1)  ; 92
+              (   25.49   241.47   -43.85     0.07 S1)  ; 93
+              (   29.24   241.10   -45.14     0.07 S1)  ; 94
+              (   31.00   239.04   -45.94     0.07 S1)  ; 95
+              (   31.29   237.87   -45.94     0.07 S1)  ; 96
+              (   30.71   234.85   -45.94     0.07 S1)  ; 97
+              (   24.76   240.51   -46.85     0.07 S1)  ; 98
+              (   26.15   241.76   -46.88     0.07 S1)  ; 99
+              (   30.41   254.52   -48.01     0.07 S1)  ; 100
+              (   29.83   256.28   -48.01     0.07 S1)  ; 101
+              (   28.80   256.28   -48.01     0.07 S1)  ; 102
+              (   27.40   255.25   -48.01     0.07 S1)  ; 103
+              (   25.49   255.77   -49.20     0.07 S1)  ; 104
+              (   26.81   256.21   -49.20     0.07 S1)  ; 105
+              (   27.33   253.71   -49.20     0.07 S1)  ; 106
+              (   31.44   250.62   -49.20     0.07 S1)  ; 107
+              (   30.49   252.61   -49.20     0.07 S1)  ; 108
+              (   31.15   249.08   -49.20     0.07 S1)  ; 109
+              (   30.78   248.49   -49.20     0.07 S1)  ; 110
+              (   31.22   247.90   -49.20     0.07 S1)  ; 111
+              (   31.22   251.65   -49.87     0.07 S1)  ; 112
+              (   26.45   252.68   -49.87     0.07 S1)  ; 113
+              (   26.52   254.59   -49.87     0.07 S1)  ; 114
+              (   30.93   242.53   -49.89     0.07 S1)  ; 115
+              (   30.71   245.03   -49.89     0.07 S1)  ; 116
+              (   30.78   246.28   -49.89     0.07 S1)  ; 117
+              (   30.19   243.12   -49.89     0.07 S1)  ; 118
+              (   26.37   243.56   -49.85     0.07 S1)  ; 119
+              (   26.45   246.94   -49.20     0.07 S1)  ; 120
+              (   25.71   249.00   -49.20     0.07 S1)  ; 121
+              (   26.81   250.77   -49.20     0.07 S1)  ; 122
+              (   27.48   251.36   -49.20     0.07 S1)  ; 123
+              (   27.26   249.30   -47.92     0.07 S1)  ; 124
+              (   29.97   248.49   -47.92     0.07 S1)  ; 125
+              (   29.75   246.21   -47.92     0.07 S1)  ; 126
+              (   29.97   244.81   -47.92     0.07 S1)  ; 127
+              (   28.14   248.19   -47.02     0.07 S1)  ; 128
+              (   28.28   245.84   -47.02     0.07 S1)  ; 129
+              (   28.72   244.59   -47.02     0.07 S1)  ; 130
+              (   29.97   243.86   -47.02     0.07 S1)  ; 131
+              (   29.31   242.53   -47.02     0.07 S1)  ; 132
+              (   26.81   246.21   -45.31     0.07 S1)  ; 133
+              (   27.70   244.66   -45.31     0.07 S1)  ; 134
+              (   31.88   250.11   -46.55     0.07 S1)  ; 135
+              (   31.81   240.18   -47.85     0.07 S1)  ; 136
+              (   30.41   246.80   -47.66     0.07 S1)  ; 137
+              (   26.74   247.68   -48.13     0.07 S1)  ; 138
+              (   29.46   249.59   -47.86     0.07 S1)  ; 139
+            )  ;  End of markers
+            (
+              (   33.45   256.86   -50.55     1.46 S1)  ; 1, R-1-1-1-1-2-1
+              (   36.96   257.17   -47.50     1.46 S1)  ; 2
+              (   39.01   257.17   -46.47     1.17 S1)  ; 3
+              (   41.35   258.13   -45.83     1.17 S1)  ; 4
+              (   43.11   259.72   -45.22     1.17 S1)  ; 5
+              (
+                (   44.45   259.52   -44.85     0.88 S1)  ; 1, R-1-1-1-1-2-1-1
+                (   45.62   259.84   -42.13     0.88 S1)  ; 2
+                (   48.55   259.84   -40.57     0.88 S1)  ; 3
+                (   50.01   258.88   -39.67     0.88 S1)  ; 4
+                (   52.06   259.84   -39.28     0.88 S1)  ; 5
+                (   53.81   260.79   -37.85     0.88 S1)  ; 6
+                (
+                  (   55.86   259.26   -35.63     0.88 S1)  ; 1, R-1-1-1-1-2-1-1-1
+                  (   56.74   258.31   -32.55     0.88 S1)  ; 2
+                  (   58.78   257.99   -31.10     0.59 S1)  ; 3
+                  (   59.37   257.04   -31.02     0.59 S1)  ; 4
+                  (   60.54   255.45   -29.72     0.59 S1)  ; 5
+                  (   63.17   255.45   -29.38     0.59 S1)  ; 6
+                  (   65.22   254.49   -28.20     0.59 S1)  ; 7
+                  (   67.56   253.54   -27.38     0.59 S1)  ; 8
+                  (   71.07   251.95   -27.25     0.59 S1)  ; 9
+                  (   71.65   250.67   -27.08     0.59 S1)  ; 10
+                  (   72.53   248.76   -26.90     0.59 S1)  ; 11
+                  (   74.58   247.49   -26.77     0.59 S1)  ; 12
+                  (   77.21   246.85   -30.83     0.59 S1)  ; 13
+                  (   79.26   244.95   -31.67     0.59 S1)  ; 14
+                  (   81.89   242.08   -31.92     0.59 S1)  ; 15
+                  (   85.11   239.22   -27.57     0.59 S1)  ; 16
+                  (   87.16   237.63   -27.27     0.59 S1)  ; 17
+                  (   89.50   237.63   -29.00     0.59 S1)  ; 18
+                  (   91.84   237.31   -28.42     0.59 S1)  ; 19
+                  (   92.72   236.04   -27.55     0.59 S1)  ; 20
+                  (   94.47   234.45   -25.03     0.59 S1)  ; 21
+                  (   95.64   232.85   -23.90     0.59 S1)  ; 22
+                  (   96.81   231.90   -23.65     0.59 S1)  ; 23
+                  (   96.52   230.31   -23.37     0.59 S1)  ; 24
+                  (   96.23   227.45   -23.10     0.59 S1)  ; 25
+                  (   97.40   225.54   -22.83     0.59 S1)  ; 26
+                  (   99.74   223.95   -24.92     0.59 S1)  ; 27
+                  (  100.91   222.04   -23.25     0.59 S1)  ; 28
+                  (  102.08   219.81   -22.95     0.59 S1)  ; 29
+                  (  104.12   217.58   -21.85     0.59 S1)  ; 30
+                  (  106.76   216.31   -21.30     0.59 S1)  ; 31
+                  (  108.45   214.75   -21.75     0.59 S1)  ; 32
+                  (  111.09   213.80   -20.95     0.59 S1)  ; 33
+                  (  112.55   211.89   -18.77     0.59 S1)  ; 34
+                  (  114.01   210.30   -17.50     0.59 S1)  ; 35
+                  (  114.60   209.03   -16.85     0.59 S1)  ; 36
+                  (  114.30   206.80   -16.57     0.59 S1)  ; 37
+                  (  113.72   204.25   -16.35     0.59 S1)  ; 38
+                  (  115.18   203.62   -15.20     0.59 S1)  ; 39
+                  (  116.94   202.66   -13.18     0.59 S1)  ; 40
+                  (  117.23   200.75   -11.95     0.29 S1)  ; 41
+                  (  118.11   199.80   -11.42     0.29 S1)  ; 42
+                  (  119.86   197.57    -9.90     0.29 S1)  ; 43
+                  (  119.28   194.71    -8.95     0.29 S1)  ; 44
+                  (  120.74   192.48    -5.30     0.29 S1)  ; 45
+                  (  121.62   191.85    -4.40     0.29 S1)  ; 46
+                  (  123.37   191.21    -4.17     0.29 S1)  ; 47
+                  (  122.49   190.57    -2.78     0.29 S1)  ; 48
+                  (  121.32   188.66    -2.10     0.29 S1)  ; 49
+                  (  121.91   186.75    -1.55     0.29 S1)  ; 50
+                  (  123.37   184.85    -1.13     0.29 S1)  ; 51
+                  (  123.96   183.57     0.93     0.29 S1)  ; 52
+                  (  123.37   181.35     1.82     0.29 S1)  ; 53
+                  (  123.96   178.48     2.25     0.29 S1)  ; 54
+                  (  126.05   177.54     1.65     0.29 S1)  ; 55
+                  (  125.76   175.31     2.67     0.29 S1)  ; 56
+                  (  126.34   172.76     3.20     0.29 S1)  ; 57
+                  (  127.51   171.17     4.45     0.29 S1)  ; 58
+                  (  128.39   169.90     5.68     0.29 S1)  ; 59
+                  (  128.10   168.31     8.50     0.29 S1)  ; 60
+                  (  128.10   165.45    10.95     0.29 S1)  ; 61
+                  (  128.10   163.54    11.68     0.29 S1)  ; 62
+                  (  130.44   161.31    12.05     0.29 S1)  ; 63
+                  (  130.44   159.08    12.35     0.29 S1)  ; 64
+                  (  131.61   156.22    12.70     0.29 S1)  ; 65
+                  (  133.95   154.95    12.90     0.29 S1)  ; 66
+                   Normal
+                |
+                  (   54.69   261.75   -36.55     0.88 S1)  ; 1, R-1-1-1-1-2-1-1-2
+                  (   56.74   262.70   -35.47     0.88 S1)  ; 2
+                  (   57.61   263.34   -32.77     0.88 S1)  ; 3
+                  (   59.66   263.65   -30.40     0.59 S1)  ; 4
+                  (   61.12   264.61   -29.88     0.59 S1)  ; 5
+                  (   62.59   263.97   -28.52     0.59 S1)  ; 6
+                  (   64.34   264.61   -27.15     0.59 S1)  ; 7
+                  (   64.93   264.93   -26.15     0.59 S1)  ; 8
+                  (   65.80   265.88   -26.05     0.59 S1)  ; 9
+                  (   66.97   267.79   -25.92     0.59 S1)  ; 10
+                  (   68.73   268.43   -25.07     0.59 S1)  ; 11
+                  (   69.61   268.11   -23.45     0.59 S1)  ; 12
+                  (   70.78   268.43   -21.77     0.59 S1)  ; 13
+                  (   72.24   269.38   -21.67     0.59 S1)  ; 14
+                  (   73.99   269.38   -21.30     0.59 S1)  ; 15
+                  (   75.46   269.06   -19.60     0.59 S1)  ; 16
+                  (   76.04   269.38   -16.67     0.59 S1)  ; 17
+                  (   77.21   270.34   -15.40     0.59 S1)  ; 18
+                  (   79.26   271.29   -13.92     0.59 S1)  ; 19
+                  (   81.31   272.56   -13.23     0.59 S1)  ; 20
+                  (   82.19   273.84   -12.75     0.59 S1)  ; 21
+                  (   84.23   275.43   -12.30     0.59 S1)  ; 22
+                  (   85.99   275.11   -11.68     0.59 S1)  ; 23
+                  (   85.70   276.06   -10.30     0.59 S1)  ; 24
+                  (   85.70   277.34    -9.00     0.59 S1)  ; 25
+                  (   87.16   278.29    -8.80     0.59 S1)  ; 26
+                  (   88.91   279.56    -8.30     0.59 S1)  ; 27
+                  (   90.96   279.56    -7.87     0.59 S1)  ; 28
+                  (   93.59   279.25    -6.85     0.59 S1)  ; 29
+                  (   96.52   279.56    -6.35     0.29 S1)  ; 30
+                  (   96.81   280.84    -5.92     0.29 S1)  ; 31
+                  (   97.98   282.43    -3.90     0.29 S1)  ; 32
+                  (   99.44   283.70    -1.55     0.29 S1)  ; 33
+                  (  100.61   282.75    -1.35     0.29 S1)  ; 34
+                  (  101.20   284.02    -1.02     0.29 S1)  ; 35
+                  (  101.20   285.93     0.90     0.29 S1)  ; 36
+                  (  102.66   286.88     2.03     0.29 S1)  ; 37
+                  (  105.29   287.84     3.95     0.29 S1)  ; 38
+                  (  105.29   289.49     4.25     0.29 S1)  ; 39
+                  (  107.63   291.72     6.42     0.29 S1)  ; 40
+                  (  108.22   293.31     7.80     0.29 S1)  ; 41
+                  (  108.51   295.54     9.17     0.29 S1)  ; 42
+                  (  109.97   297.45    10.17     0.29 S1)  ; 43
+                  (  110.85   299.04    11.02     0.29 S1)  ; 44
+                  (  111.44   301.26    11.80     0.29 S1)  ; 45
+                  (  111.14   304.45    12.13     0.29 S1)  ; 46
+                  (  111.44   306.36    12.20     0.29 S1)  ; 47
+                  (  113.19   307.95    12.35     0.29 S1)  ; 48
+                  (  112.90   309.54    12.65     0.29 S1)  ; 49
+                   Normal
+                )  ;  End of split
+              |
+                (   45.45   261.31   -42.82     1.17 S1)  ; 1, R-1-1-1-1-2-1-2
+                (   47.49   262.26   -41.85     1.17 S1)  ; 2
+                (   49.83   262.90   -45.65     1.17 S1)  ; 3
+                (   53.34   264.49   -45.27     1.17 S1)  ; 4
+                (   55.10   266.72   -45.13     1.17 S1)  ; 5
+                (   57.44   268.31   -44.45     1.17 S1)  ; 6
+                (   59.49   269.26   -48.27     1.17 S1)  ; 7
+                (   61.83   270.54   -49.25     1.17 S1)  ; 8
+                (   63.29   270.54   -48.65     1.17 S1)  ; 9
+                (   65.63   270.86   -44.50     0.88 S1)  ; 10
+                (   67.68   270.54   -49.10     0.88 S1)  ; 11
+                (   70.31   271.81   -51.67     0.88 S1)  ; 12
+                (   72.94   271.81   -53.88     0.88 S1)  ; 13
+                (   76.16   272.13   -55.40     0.88 S1)  ; 14
+                (   78.21   271.81   -56.57     0.88 S1)  ; 15
+                (   79.96   271.49   -57.22     0.88 S1)  ; 16
+                (   82.01   272.45   -57.92     0.88 S1)  ; 17
+                (   84.64   272.13   -59.02     0.88 S1)  ; 18
+                (   89.03   272.13   -59.20     0.88 S1)  ; 19
+                (   91.37   271.81   -62.88     0.88 S1)  ; 20
+                (   93.71   270.86   -64.38     0.88 S1)  ; 21
+                (   96.05   271.81   -66.68     0.88 S1)  ; 22
+                (   98.68   273.40   -69.67     0.88 S1)  ; 23
+                (  100.14   273.72   -66.85     0.59 S1)  ; 24
+                (  102.48   273.40   -67.63     0.59 S1)  ; 25
+                (  105.41   273.08   -66.72     0.59 S1)  ; 26
+                (  110.09   273.08   -66.00     0.59 S1)  ; 27
+                (  112.72   274.04   -60.60     0.59 S1)  ; 28
+                (  113.89   275.95   -59.78     0.59 S1)  ; 29
+                (  115.94   275.95   -59.17     0.59 S1)  ; 30
+                (  118.28   275.63   -56.65     0.59 S1)  ; 31
+                (  121.20   275.63   -56.15     0.59 S1)  ; 32
+                (  122.37   276.90   -54.83     0.29 S1)  ; 33
+                (  124.30   278.24   -53.58     0.29 S1)  ; 34
+                (  125.77   277.92   -52.45     0.29 S1)  ; 35
+                (  127.81   276.96   -51.80     0.29 S1)  ; 36
+                (  128.69   276.96   -50.50     0.29 S1)  ; 37
+                (  129.86   277.60   -49.13     0.29 S1)  ; 38
+                (  131.03   277.60   -48.90     0.29 S1)  ; 39
+                (  133.67   277.28   -48.78     0.29 S1)  ; 40
+                (  136.01   276.65   -48.27     0.29 S1)  ; 41
+                (  138.35   277.60   -47.05     0.29 S1)  ; 42
+                (  140.10   276.65   -46.88     0.29 S1)  ; 43
+                (  142.44   278.24   -46.63     0.29 S1)  ; 44
+                (  144.78   279.19   -46.30     0.29 S1)  ; 45
+                (  145.66   280.46   -46.22     0.29 S1)  ; 46
+                (  148.00   280.78   -46.08     0.29 S1)  ; 47
+                (  149.46   280.46   -44.72     0.29 S1)  ; 48
+                (  152.68   280.78   -44.35     0.29 S1)  ; 49
+                (  155.60   281.42   -43.80     0.29 S1)  ; 50
+                (  156.77   280.46   -43.45     0.29 S1)  ; 51
+                (  158.24   281.10   -43.13     0.29 S1)  ; 52
+                (  159.41   281.74   -49.17     0.29 S1)  ; 53
+                (  162.62   280.78   -49.83     0.29 S1)  ; 54
+                (  164.96   279.83   -50.50     0.29 S1)  ; 55
+                 Normal
+              )  ;  End of split
+            |
+              (   29.01   262.72   -51.65     2.57 S1)  ; 1, R-1-1-1-1-2-2
+              (   28.50   268.40   -52.13     2.57 S1)  ; 2
+              (   29.01   273.23   -52.55     2.57 S1)  ; 3
+              (   29.79   278.62   -52.75     2.57 S1)  ; 4
+              (   30.81   282.32   -53.13     2.31 S1)  ; 5
+              (   30.04   286.01   -54.10     2.31 S1)  ; 6
+              (   30.04   291.12   -54.43     2.57 S1)  ; 7
+              (   31.33   293.97   -55.00     2.57 S1)  ; 8
+              (   31.07   297.09   -52.17     2.83 S1)  ; 9
+              (   30.81   299.99   -49.27     3.09 S1)  ; 10
+
+              (Cross
+                (Color Green)
+                (Name "Marker 3")
+                (   31.88   259.51   -50.16     0.07 S1)  ; 1
+                (   30.63   259.07   -50.16     0.07 S1)  ; 2
+                (   26.67   260.47   -50.16     0.07 S1)  ; 3
+                (   27.92   260.76   -50.16     0.07 S1)  ; 4
+                (   28.06   259.22   -50.16     0.07 S1)  ; 5
+                (   32.47   261.20   -51.90     0.07 S1)  ; 6
+                (   32.98   262.30   -51.90     0.07 S1)  ; 7
+                (   32.25   264.88   -51.90     0.07 S1)  ; 8
+                (   27.84   261.94   -51.90     0.07 S1)  ; 9
+                (   33.13   259.58   -51.24     0.07 S1)  ; 10
+                (   29.61   260.39   -50.22     0.07 S1)  ; 11
+                (   29.61   261.72   -50.22     0.07 S1)  ; 12
+                (   31.07   262.97   -50.22     0.07 S1)  ; 13
+                (   30.34   263.70   -50.22     0.07 S1)  ; 14
+                (   29.90   264.66   -50.22     0.07 S1)  ; 15
+                (   31.22   266.05   -50.22     0.07 S1)  ; 16
+                (   30.27   266.35   -50.22     0.07 S1)  ; 17
+                (   33.35   267.38   -50.22     0.07 S1)  ; 18
+                (   30.19   269.14   -50.22     0.07 S1)  ; 19
+                (   30.56   269.58   -50.22     0.07 S1)  ; 20
+                (   26.96   269.44   -50.63     0.07 S1)  ; 21
+                (   27.04   268.41   -50.63     0.07 S1)  ; 22
+                (   27.33   263.99   -50.68     0.07 S1)  ; 23
+                (   27.33   265.24   -50.68     0.07 S1)  ; 24
+                (   26.96   270.39   -49.32     0.07 S1)  ; 25
+                (   27.77   271.49   -49.21     0.07 S1)  ; 26
+                (   27.62   272.89   -49.21     0.07 S1)  ; 27
+                (   29.97   272.08   -49.21     0.07 S1)  ; 28
+                (   31.15   271.13   -49.21     0.07 S1)  ; 29
+                (   29.97   274.21   -49.21     0.07 S1)  ; 30
+                (   31.29   269.66   -49.05     0.07 S1)  ; 31
+                (   29.46   270.76   -49.05     0.07 S1)  ; 32
+                (   30.41   267.74   -49.05     0.07 S1)  ; 33
+                (   32.03   267.38   -49.39     0.07 S1)  ; 34
+                (   31.22   267.23   -50.16     0.07 S1)  ; 35
+                (   30.63   275.83   -50.54     0.07 S1)  ; 36
+                (   31.52   277.23   -50.54     0.07 S1)  ; 37
+                (   31.59   278.19   -50.54     0.07 S1)  ; 38
+                (   27.62   280.32   -50.54     0.07 S1)  ; 39
+                (   27.55   278.19   -50.54     0.07 S1)  ; 40
+                (   27.70   275.83   -50.54     0.07 S1)  ; 41
+                (   31.15   273.48   -51.25     0.07 S1)  ; 42
+                (   31.81   272.16   -51.25     0.07 S1)  ; 43
+                (   32.47   277.23   -51.25     0.07 S1)  ; 44
+                (   32.40   278.99   -51.25     0.07 S1)  ; 45
+                (   32.40   279.51   -51.25     0.07 S1)  ; 46
+                (   28.50   279.88   -51.25     0.07 S1)  ; 47
+                (   28.28   278.55   -51.25     0.07 S1)  ; 48
+                (   33.65   274.80   -52.31     0.07 S1)  ; 49
+                (   26.74   276.20   -52.31     0.07 S1)  ; 50
+                (   32.40   276.42   -52.31     0.07 S1)  ; 51
+                (   33.20   277.67   -52.31     0.07 S1)  ; 52
+                (   26.59   278.92   -53.29     0.07 S1)  ; 53
+                (   32.76   278.26   -53.29     0.07 S1)  ; 54
+                (   31.44   275.54   -51.24     0.07 S1)  ; 55
+                (   27.99   274.36   -50.10     0.07 S1)  ; 56
+                (   28.43   275.24   -50.10     0.07 S1)  ; 57
+                (   30.05   277.38   -49.99     0.07 S1)  ; 58
+                (   30.85   278.26   -49.99     0.07 S1)  ; 59
+                (   29.39   280.83   -49.99     0.07 S1)  ; 60
+                (   31.74   280.83   -49.99     0.07 S1)  ; 61
+                (   27.99   277.08   -49.90     0.07 S1)  ; 62
+                (   30.41   275.10   -49.90     0.07 S1)  ; 63
+                (   30.34   264.88   -49.13     0.07 S1)  ; 64
+                (   28.36   266.42   -49.13     0.07 S1)  ; 65
+                (   30.93   272.08   -49.13     0.07 S1)  ; 66
+                (   27.77   266.94   -46.88     0.07 S1)  ; 67
+                (   30.05   283.77   -49.79     0.07 S1)  ; 68
+                (   30.34   286.42   -49.79     0.07 S1)  ; 69
+                (   29.16   286.93   -49.79     0.07 S1)  ; 70
+                (   27.04   287.16   -49.79     0.07 S1)  ; 71
+                (   32.18   282.30   -51.21     0.07 S1)  ; 72
+                (   32.32   284.80   -51.21     0.07 S1)  ; 73
+                (   31.66   285.24   -51.21     0.07 S1)  ; 74
+                (   31.66   285.98   -51.21     0.07 S1)  ; 75
+                (   31.96   288.04   -51.21     0.07 S1)  ; 76
+                (   31.29   288.26   -51.21     0.07 S1)  ; 77
+                (   27.92   286.13   -51.21     0.07 S1)  ; 78
+                (   28.28   285.02   -51.21     0.07 S1)  ; 79
+                (   28.50   283.63   -51.21     0.07 S1)  ; 80
+                (   33.50   283.70   -51.21     0.07 S1)  ; 81
+                (   29.46   285.76   -51.97     0.07 S1)  ; 82
+                (   28.87   298.77   -53.64     0.07 S1)  ; 83
+                (   33.94   298.63   -53.64     0.07 S1)  ; 84
+                (   34.31   297.74   -53.64     0.07 S1)  ; 85
+                (   34.67   296.49   -53.64     0.07 S1)  ; 86
+                (   33.79   295.17   -53.64     0.07 S1)  ; 87
+                (   32.62   289.43   -53.70     0.07 S1)  ; 88
+                (   32.47   290.91   -53.70     0.07 S1)  ; 89
+                (   33.35   291.79   -53.70     0.07 S1)  ; 90
+                (   33.35   292.67   -53.70     0.07 S1)  ; 91
+                (   33.35   293.77   -53.70     0.07 S1)  ; 92
+                (   32.84   288.04   -52.75     0.07 S1)  ; 93
+                (   33.06   283.55   -52.75     0.07 S1)  ; 94
+                (   27.84   284.07   -52.75     0.07 S1)  ; 95
+                (   27.33   288.11   -52.75     0.07 S1)  ; 96
+                (   30.34   298.48   -51.89     0.07 S1)  ; 97
+                (   33.50   297.30   -51.89     0.07 S1)  ; 98
+                (   32.10   295.39   -51.89     0.07 S1)  ; 99
+                (   30.78   297.15   -51.89     0.07 S1)  ; 100
+                (   28.87   292.74   -50.95     0.07 S1)  ; 101
+                (   32.84   294.95   -50.95     0.07 S1)  ; 102
+                (   31.44   292.01   -51.22     0.07 S1)  ; 103
+                (   31.44   291.49   -51.42     0.07 S1)  ; 104
+                (   29.46   289.80   -51.42     0.07 S1)  ; 105
+                (   27.70   289.43   -52.44     0.07 S1)  ; 106
+                (   28.06   291.57   -52.75     0.07 S1)  ; 107
+                (   27.99   292.38   -52.75     0.07 S1)  ; 108
+                (   27.99   293.11   -52.75     0.07 S1)  ; 109
+                (   28.72   294.29   -52.75     0.07 S1)  ; 110
+                (   28.58   295.90   -52.75     0.07 S1)  ; 111
+                (   29.16   296.86   -52.75     0.07 S1)  ; 112
+                (   28.06   298.04   -52.75     0.07 S1)  ; 113
+                (   32.84   296.71   -53.21     0.07 S1)  ; 114
+                (   31.00   295.46   -53.21     0.07 S1)  ; 115
+                (   30.56   294.80   -53.21     0.07 S1)  ; 116
+                (   32.18   293.26   -53.21     0.07 S1)  ; 117
+                (   31.88   290.10   -53.80     0.07 S1)  ; 118
+                (   27.99   288.92   -53.80     0.07 S1)  ; 119
+                (   32.62   281.13   -51.99     0.07 S1)  ; 120
+                (   28.36   281.86   -53.09     0.07 S1)  ; 121
+              )  ;  End of markers
+              (
+                (   28.37   299.77   -52.15     0.88 S1)  ; 1, R-1-1-1-1-2-2-1
+                (   25.74   299.45   -57.02     0.88 S1)  ; 2
+                (   23.40   299.45   -58.95     0.88 S1)  ; 3
+                (   19.59   299.77   -60.27     0.88 S1)  ; 4
+                (   16.67   298.82   -61.67     0.88 S1)  ; 5
+                (   14.04   297.55   -67.77     0.88 S1)  ; 6
+                (
+                  (   11.40   297.86   -69.40     0.88 S1)  ; 1, R-1-1-1-1-2-2-1-1
+                  (    9.94   297.86   -71.28     0.88 S1)  ; 2
+                  (    7.02   295.64   -71.75     0.88 S1)  ; 3
+                  (    4.68   293.73   -72.13     0.88 S1)  ; 4
+                  (    2.34   291.82   -72.85     0.88 S1)  ; 5
+                  (    0.87   290.86   -75.52     0.88 S1)  ; 6
+                  (   -0.59   290.55   -77.38     0.88 S1)  ; 7
+                  (   -2.34   291.18   -80.57     0.88 S1)  ; 8
+                  (   -3.51   290.55   -83.63     0.88 S1)  ; 9
+                  (   -4.69   290.86   -85.63     0.88 S1)  ; 10
+                  (   -7.03   291.82   -87.60     0.88 S1)  ; 11
+                  (
+                    (   -7.90   294.05   -87.60     0.88 S1)  ; 1, R-1-1-1-1-2-2-1-1-1
+                    (  -10.24   294.36   -90.47     0.88 S1)  ; 2
+                    (  -11.41   295.95   -96.00     0.88 S1)  ; 3
+                    (  -14.05   297.23   -98.95     0.88 S1)  ; 4
+                    (  -15.80   298.50  -103.70     0.88 S1)  ; 5
+                    (  -16.09   300.41  -106.67     0.88 S1)  ; 6
+                     High
+                  |
+                    (   -4.98   291.18   -92.00     0.88 S1)  ; 1, R-1-1-1-1-2-2-1-1-2
+                    (   -2.64   289.91   -96.50     0.88 S1)  ; 2
+                    (   -0.00   288.00   -99.17     0.88 S1)  ; 3
+                    (    0.87   289.59  -102.50     0.88 S1)  ; 4
+                    (    2.92   288.32  -105.73     0.88 S1)  ; 5
+                    (    2.04   287.36  -108.30     0.88 S1)  ; 6
+                     High
+                  )  ;  End of split
+                |
+                  (   14.91   295.64   -67.77     0.88 S1)  ; 1, R-1-1-1-1-2-2-1-2
+                  (   12.87   294.05   -72.93     0.88 S1)  ; 2
+                  (   13.74   291.82   -78.28     0.88 S1)  ; 3
+                  (   11.99   291.18   -76.32     0.88 S1)  ; 4
+                  (   10.53   291.50   -88.72     0.88 S1)  ; 5
+                  (   11.70   293.09   -94.05     0.88 S1)  ; 6
+                  (    9.65   291.18   -95.25     0.88 S1)  ; 7
+                   Incomplete
+                )  ;  End of split
+              |
+                (   31.07   304.25   -48.50     3.09 S1)  ; 1, R-1-1-1-1-2-2-2
+                (   30.04   308.23   -47.85     3.09 S1)  ; 2
+                (   30.04   311.35   -51.30     3.09 S1)  ; 3
+                (   30.30   313.34   -51.77     3.09 S1)  ; 4
+                (
+                  (   30.10   315.40   -52.10     0.59 S1)  ; 1, R-1-1-1-1-2-2-2-1
+                  (
+                    (   28.08   316.32   -43.42     0.59 S1)  ; 1, R-1-1-1-1-2-2-2-1-1
+                    (   29.54   317.91   -41.67     0.59 S1)  ; 2
+                    (   32.17   319.50   -40.90     0.59 S1)  ; 3
+                    (   32.46   320.77   -39.02     0.59 S1)  ; 4
+                    (   31.00   320.77   -37.95     0.59 S1)  ; 5
+                    (
+                      (   31.29   318.55   -35.38     0.59 S1)  ; 1, R-1-1-1-1-2-2-2-1-1-1
+                      (   31.88   316.64   -32.47     0.59 S1)  ; 2
+                      (   32.17   314.73   -30.33     0.59 S1)  ; 3
+                      (   31.59   313.14   -29.38     0.59 S1)  ; 4
+                      (   32.17   311.23   -25.33     0.59 S1)  ; 5
+                      (   34.22   310.27   -23.75     0.59 S1)  ; 6
+                      (   35.97   308.36   -22.17     0.59 S1)  ; 7
+                      (   37.73   306.14   -20.77     0.59 S1)  ; 8
+                      (   39.19   303.59   -18.97     0.59 S1)  ; 9
+                      (   40.65   302.95   -15.75     0.59 S1)  ; 10
+                      (   40.65   302.00   -14.20     0.59 S1)  ; 11
+                      (   39.78   301.36   -13.55     0.59 S1)  ; 12
+                      (   38.61   301.05   -13.05     0.59 S1)  ; 13
+                      (   40.07   299.77   -10.73     0.59 S1)  ; 14
+                      (   40.36   298.18    -9.70     0.59 S1)  ; 15
+                      (   40.65   296.91    -7.47     0.59 S1)  ; 16
+                      (   38.90   295.64    -6.82     0.59 S1)  ; 17
+                      (   39.78   295.00    -4.68     0.59 S1)  ; 18
+                      (   39.48   293.09    -1.60     0.59 S1)  ; 19
+                      (   40.07   291.18    -1.07     0.59 S1)  ; 20
+                      (   40.65   291.82     0.30     0.59 S1)  ; 21
+                      (   42.12   291.18     2.47     0.59 S1)  ; 22
+                      (   40.95   289.59     2.92     0.59 S1)  ; 23
+                      (   40.65   287.68     4.43     0.59 S1)  ; 24
+                      (   41.53   286.41     6.07     0.59 S1)  ; 25
+                      (   42.12   285.77     7.20     0.59 S1)  ; 26
+                      (   43.29   287.05     8.52     0.59 S1)  ; 27
+                      (   42.99   289.27    10.10     0.59 S1)  ; 28
+                      (   41.53   291.18    10.28     0.59 S1)  ; 29
+                      (   39.48   292.14    10.40     0.59 S1)  ; 30
+                      (   37.44   292.77    10.90     0.59 S1)  ; 31
+                       Normal
+                    |
+                      (   29.83   322.36   -35.30     0.59 S1)  ; 1, R-1-1-1-1-2-2-2-1-1-2
+                      (   28.66   323.00   -35.30     0.59 S1)  ; 2
+                      (   26.91   324.59   -32.83     0.59 S1)  ; 3
+                      (   26.03   326.82   -32.15     0.59 S1)  ; 4
+                      (   25.74   328.41   -31.02     0.59 S1)  ; 5
+                      (   23.98   328.73   -29.05     0.59 S1)  ; 6
+                      (   24.57   329.68   -28.00     0.59 S1)  ; 7
+                      (   25.15   329.68   -24.70     0.59 S1)  ; 8
+                      (   24.57   331.27   -17.02     0.59 S1)  ; 9
+                      (   23.98   334.14   -15.82     0.59 S1)  ; 10
+                      (   23.40   334.77   -14.45     0.59 S1)  ; 11
+                      (   22.81   335.73   -12.72     0.59 S1)  ; 12
+                      (   22.81   337.00   -11.32     0.59 S1)  ; 13
+                      (   21.06   337.32    -9.82     0.59 S1)  ; 14
+                      (   19.30   337.95    -8.55     0.59 S1)  ; 15
+                      (   19.59   340.18    -6.15     0.59 S1)  ; 16
+                      (   20.47   342.09    -4.72     0.59 S1)  ; 17
+                      (   21.93   343.68    -3.92     0.59 S1)  ; 18
+                      (   20.47   344.64    -0.40     0.59 S1)  ; 19
+                      (   21.35   345.59     1.53     0.59 S1)  ; 20
+                      (   21.93   347.82     0.77     0.59 S1)  ; 21
+                      (   20.76   348.77     2.95     0.59 S1)  ; 22
+                      (   21.06   350.05     3.60     0.59 S1)  ; 23
+                      (   21.64   351.32     5.22     0.59 S1)  ; 24
+                      (   20.18   353.23     7.35     0.59 S1)  ; 25
+                      (   18.13   354.18     8.02     0.59 S1)  ; 26
+                      (   16.67   355.46     9.05     0.59 S1)  ; 27
+                      (   17.84   355.77     9.70     0.59 S1)  ; 28
+                      (   19.01   356.41    10.33     0.59 S1)  ; 29
+                      (
+                        (   20.76   355.14     7.45     0.59 S1)  ; 1, R-1-1-1-1-2-2-2-1-1-2-1
+                        (   21.64   353.55     7.22     0.59 S1)  ; 2
+                        (   22.81   352.27     6.22     0.59 S1)  ; 3
+                        (   24.57   351.00     5.68     0.59 S1)  ; 4
+                        (   25.15   349.41     5.37     0.59 S1)  ; 5
+                         Normal
+                      |
+                        (   18.72   358.32    12.55     0.59 S1)  ; 1, R-1-1-1-1-2-2-2-1-1-2-2
+                        (   20.18   359.27    13.23     0.59 S1)  ; 2
+                        (   21.93   360.55    13.67     0.59 S1)  ; 3
+                         Low
+                      )  ;  End of split
+                    )  ;  End of split
+                  |
+                    (   32.73   315.08   -57.37     0.59 S1)  ; 1, R-1-1-1-1-2-2-2-1-2
+                    (   33.90   315.72   -61.52     0.59 S1)  ; 2
+                    (   35.36   317.94   -62.08     0.59 S1)  ; 3
+                    (   36.53   320.17   -63.50     0.59 S1)  ; 4
+                    (   38.29   322.40   -66.92     0.59 S1)  ; 5
+                    (   38.87   324.94   -68.53     0.59 S1)  ; 6
+                    (   38.87   327.17   -70.38     0.59 S1)  ; 7
+                    (   38.29   328.45   -71.70     0.59 S1)  ; 8
+                    (   40.63   330.35   -72.10     0.59 S1)  ; 9
+                    (   42.09   331.95   -73.05     0.59 S1)  ; 10
+                    (   42.38   334.17   -75.78     0.59 S1)  ; 11
+                    (   43.26   335.45   -78.38     0.59 S1)  ; 12
+                    (   43.85   337.04   -81.05     0.59 S1)  ; 13
+                    (   45.31   338.31   -83.93     0.59 S1)  ; 14
+                    (   47.36   340.22   -85.68     0.59 S1)  ; 15
+                    (   49.70   343.72   -83.05     0.59 S1)  ; 16
+                    (   52.04   346.90   -89.82     0.59 S1)  ; 17
+                    (   53.79   348.81   -92.02     0.59 S1)  ; 18
+                    (   56.72   352.63   -91.40     0.59 S1)  ; 19
+                    (   58.18   355.49   -94.22     0.59 S1)  ; 20
+                    (   60.23   358.35   -96.20     0.59 S1)  ; 21
+                    (   61.40   361.85   -99.85     0.59 S1)  ; 22
+                    (   64.03   366.31   -99.85     0.59 S1)  ; 23
+                    (   65.20   369.81  -100.28     0.59 S1)  ; 24
+                    (   67.54   372.67  -100.92     0.59 S1)  ; 25
+                    (   69.90   376.52  -101.15     0.59 S1)  ; 26
+                    (   73.12   380.34  -103.05     0.59 S1)  ; 27
+                    (   78.09   382.56  -104.07     0.59 S1)  ; 28
+                    (   83.65   384.47  -104.27     0.59 S1)  ; 29
+                    (   85.99   385.11  -102.35     0.59 S1)  ; 30
+                    (   88.04   386.70  -105.63     0.59 S1)  ; 31
+                     High
+                  )  ;  End of split
+                |
+                  (   29.01   318.74   -52.72     3.09 S1)  ; 1, R-1-1-1-1-2-2-2-2
+                  (   28.24   324.42   -53.67     3.09 S1)  ; 2
+                  (   27.21   329.53   -54.02     3.09 S1)  ; 3
+                  (   24.39   334.08   -54.13     2.83 S1)  ; 4
+                  (   22.59   336.92   -54.60     2.57 S1)  ; 5
+                  (   21.56   338.91   -51.25     2.31 S1)  ; 6
+                  (   21.04   341.46   -48.35     2.31 S1)  ; 7
+                  (   24.13   343.45   -46.88     2.57 S1)  ; 8
+                  (   25.93   345.50   -47.88     2.57 S1)  ; 9
+                  (   25.93   348.62   -51.40     2.57 S1)  ; 10
+                  (   26.19   352.88   -54.15     2.57 S1)  ; 11
+                  (   26.44   357.71   -55.40     2.57 S1)  ; 12
+                  (   26.70   362.54   -55.88     2.57 S1)  ; 13
+                  (   26.70   365.95   -56.47     2.57 S1)  ; 14
+                  (   26.70   368.79   -58.72     2.57 S1)  ; 15
+
+                  (Cross
+                    (Color RGB (0, 128, 192))
+                    (Name "Marker 3")
+                    (   24.54   365.04   -55.77     0.59 S1)  ; 1
+                    (   24.54   363.13   -55.77     0.59 S1)  ; 2
+                    (   28.93   363.76   -55.77     0.59 S1)  ; 3
+                    (   24.25   361.22   -54.83     0.59 S1)  ; 4
+                    (   24.54   360.58   -54.83     0.59 S1)  ; 5
+                    (   28.64   360.26   -53.05     0.59 S1)  ; 6
+                    (   28.34   356.76   -53.05     0.59 S1)  ; 7
+                    (   24.25   357.08   -53.05     0.59 S1)  ; 8
+                    (   28.64   354.85   -51.63     0.59 S1)  ; 9
+                    (   28.34   351.99   -51.63     0.59 S1)  ; 10
+                    (   24.54   354.22   -51.63     0.59 S1)  ; 11
+                    (   24.25   352.95   -51.63     0.59 S1)  ; 12
+                    (   28.34   362.17   -51.63     0.59 S1)  ; 13
+                    (   23.96   350.40   -46.80     0.59 S1)  ; 14
+                    (   27.76   349.45   -46.80     0.59 S1)  ; 15
+                    (   28.05   344.99   -46.40     0.59 S1)  ; 16
+                    (   23.08   346.90   -49.58     0.59 S1)  ; 17
+                    (   27.76   346.58   -49.58     0.59 S1)  ; 18
+                    (   21.91   344.35   -49.58     0.59 S1)  ; 19
+                    (   26.59   343.40   -49.58     0.59 S1)  ; 20
+                    (   25.71   342.13   -49.58     0.59 S1)  ; 21
+                    (   18.69   342.45   -44.60     0.59 S1)  ; 22
+                    (   18.98   341.17   -44.60     0.59 S1)  ; 23
+                    (   19.86   339.90   -44.60     0.59 S1)  ; 24
+                    (   19.57   338.63   -48.65     0.59 S1)  ; 25
+                    (   19.86   336.72   -54.00     0.59 S1)  ; 26
+                    (   21.32   336.08   -54.00     0.59 S1)  ; 27
+                    (   26.00   335.13   -54.00     0.59 S1)  ; 28
+                    (   28.34   333.22   -54.72     0.59 S1)  ; 29
+                    (   22.49   332.26   -48.35     0.59 S1)  ; 30
+                    (   23.66   330.99   -48.35     0.59 S1)  ; 31
+                    (   25.13   327.17   -47.47     0.59 S1)  ; 32
+                    (   25.71   326.22   -47.47     0.59 S1)  ; 33
+                    (   26.00   325.58   -47.47     0.59 S1)  ; 34
+                    (   25.71   323.99   -47.47     0.59 S1)  ; 35
+                    (   26.59   321.44   -47.47     0.59 S1)  ; 36
+                    (   26.88   319.85   -47.47     0.59 S1)  ; 37
+                    (   26.88   318.26   -47.47     0.59 S1)  ; 38
+                    (   28.93   330.35   -49.27     0.59 S1)  ; 39
+                    (   29.51   328.13   -49.25     0.59 S1)  ; 40
+                    (   29.81   328.45   -48.80     0.59 S1)  ; 41
+                    (   30.10   325.26   -55.22     0.59 S1)  ; 42
+                    (   30.68   323.35   -55.22     0.59 S1)  ; 43
+                    (   28.05   315.72   -48.58     0.59 S1)  ; 44
+                    (   31.56   317.31   -47.63     0.59 S1)  ; 45
+                    (   26.00   322.08   -51.60     0.59 S1)  ; 46
+                    (   31.27   322.40   -51.60     0.59 S1)  ; 47
+                    (   30.98   321.13   -51.60     0.59 S1)  ; 48
+                    (   31.56   317.94   -47.97     0.59 S1)  ; 49
+                    (   24.83   329.40   -53.40     0.59 S1)  ; 50
+                    (   22.20   338.95   -46.88     0.59 S1)  ; 51
+                    (   22.79   340.85   -46.88     0.59 S1)  ; 52
+                    (   24.54   365.04   -55.77     0.59 S1)  ; 53
+                    (   24.54   363.13   -55.77     0.59 S1)  ; 54
+                    (   28.93   363.76   -55.77     0.59 S1)  ; 55
+                    (   24.25   361.22   -54.83     0.59 S1)  ; 56
+                    (   24.54   360.58   -54.83     0.59 S1)  ; 57
+                    (   28.64   360.26   -53.05     0.59 S1)  ; 58
+                    (   28.34   356.76   -53.05     0.59 S1)  ; 59
+                    (   24.25   357.08   -53.05     0.59 S1)  ; 60
+                    (   28.64   354.85   -51.63     0.59 S1)  ; 61
+                    (   28.34   351.99   -51.63     0.59 S1)  ; 62
+                    (   24.54   354.22   -51.63     0.59 S1)  ; 63
+                    (   24.25   352.95   -51.63     0.59 S1)  ; 64
+                    (   28.34   362.17   -51.63     0.59 S1)  ; 65
+                    (   23.96   350.40   -46.80     0.59 S1)  ; 66
+                    (   27.76   349.45   -46.80     0.59 S1)  ; 67
+                    (   28.05   344.99   -46.40     0.59 S1)  ; 68
+                    (   23.08   346.90   -49.58     0.59 S1)  ; 69
+                    (   27.76   346.58   -49.58     0.59 S1)  ; 70
+                    (   21.91   344.35   -49.58     0.59 S1)  ; 71
+                    (   26.59   343.40   -49.58     0.59 S1)  ; 72
+                    (   25.71   342.13   -49.58     0.59 S1)  ; 73
+                    (   18.69   342.45   -44.60     0.59 S1)  ; 74
+                    (   18.98   341.17   -44.60     0.59 S1)  ; 75
+                    (   19.86   339.90   -44.60     0.59 S1)  ; 76
+                    (   19.57   338.63   -48.65     0.59 S1)  ; 77
+                    (   19.86   336.72   -54.00     0.59 S1)  ; 78
+                    (   21.32   336.08   -54.00     0.59 S1)  ; 79
+                    (   26.00   335.13   -54.00     0.59 S1)  ; 80
+                    (   28.34   333.22   -54.72     0.59 S1)  ; 81
+                    (   22.49   332.26   -48.35     0.59 S1)  ; 82
+                    (   23.66   330.99   -48.35     0.59 S1)  ; 83
+                    (   25.13   327.17   -47.47     0.59 S1)  ; 84
+                    (   25.71   326.22   -47.47     0.59 S1)  ; 85
+                    (   26.00   325.58   -47.47     0.59 S1)  ; 86
+                    (   25.71   323.99   -47.47     0.59 S1)  ; 87
+                    (   26.59   321.44   -47.47     0.59 S1)  ; 88
+                    (   26.88   319.85   -47.47     0.59 S1)  ; 89
+                    (   26.88   318.26   -47.47     0.59 S1)  ; 90
+                    (   28.93   330.35   -49.27     0.59 S1)  ; 91
+                    (   29.51   328.13   -49.25     0.59 S1)  ; 92
+                    (   29.81   328.45   -48.80     0.59 S1)  ; 93
+                    (   30.10   325.26   -55.22     0.59 S1)  ; 94
+                    (   30.68   323.35   -55.22     0.59 S1)  ; 95
+                    (   28.05   315.72   -48.58     0.59 S1)  ; 96
+                    (   31.56   317.31   -47.63     0.59 S1)  ; 97
+                    (   26.00   322.08   -51.60     0.59 S1)  ; 98
+                    (   31.27   322.40   -51.60     0.59 S1)  ; 99
+                    (   30.98   321.13   -51.60     0.59 S1)  ; 100
+                    (   31.56   317.94   -47.97     0.59 S1)  ; 101
+                    (   24.83   329.40   -53.40     0.59 S1)  ; 102
+                    (   22.20   338.95   -46.88     0.59 S1)  ; 103
+                    (   22.79   340.85   -46.88     0.59 S1)  ; 104
+                  )  ;  End of markers
+                  (
+                    (   25.74   368.20   -58.78     0.59 S1)  ; 1, R-1-1-1-1-2-2-2-2-1
+                    (   24.57   368.20   -59.00     0.59 S1)  ; 2
+                    (   23.69   369.47   -59.92     0.59 S1)  ; 3
+                    (   22.81   370.74   -60.60     0.59 S1)  ; 4
+                    (   21.35   372.33   -60.85     0.59 S1)  ; 5
+                    (   20.77   373.29   -62.17     0.88 S1)  ; 6
+                    (   20.18   374.24   -62.70     0.88 S1)  ; 7
+                    (   19.01   375.51   -64.20     0.88 S1)  ; 8
+                    (   17.26   377.11   -64.90     0.88 S1)  ; 9
+                    (   16.38   378.38   -68.07     0.88 S1)  ; 10
+                    (   16.09   379.01   -68.53     0.88 S1)  ; 11
+                    (   14.33   381.24   -69.67     0.88 S1)  ; 12
+                    (   14.33   382.51   -73.47     0.88 S1)  ; 13
+                    (   14.62   383.47   -75.47     0.88 S1)  ; 14
+                    (   14.04   385.06   -77.85     0.88 S1)  ; 15
+                    (   11.99   385.38   -85.70     0.88 S1)  ; 16
+                    (   11.70   387.29   -89.50     0.88 S1)  ; 17
+                    (   10.82   389.83   -92.65     0.88 S1)  ; 18
+                    (    9.36   391.42   -90.42     0.88 S1)  ; 19
+                    (    5.56   392.70   -97.57     0.59 S1)  ; 20
+                    (    4.97   394.29  -100.82     0.59 S1)  ; 21
+                    (    3.80   396.20  -103.00     0.59 S1)  ; 22
+                    (    2.92   398.42  -106.43     0.59 S1)  ; 23
+                    (    0.88   400.33  -110.05     0.59 S1)  ; 24
+                    (   -0.29   402.56  -112.92     0.59 S1)  ; 25
+                    (   -2.34   402.88  -113.50     0.59 S1)  ; 26
+                    (   -3.80   405.11  -115.28     0.59 S1)  ; 27
+                    (   -5.56   407.97  -121.50     0.59 S1)  ; 28
+                    (   -7.90   409.88  -126.13     0.59 S1)  ; 29
+                    (   -8.78   412.74  -128.38     0.59 S1)  ; 30
+                    (  -11.41   414.65  -128.98     0.59 S1)  ; 31
+                    (  -13.75   417.20  -129.05     0.59 S1)  ; 32
+
+                    (Cross
+                      (Color Orange)
+                      (Name "Marker 3")
+                      (   19.30   373.61   -64.20     0.88 S1)  ; 1
+                      (   19.01   372.65   -64.20     0.88 S1)  ; 2
+                      (   21.64   374.56   -59.97     0.88 S1)  ; 3
+                      (   22.81   372.65   -57.45     0.88 S1)  ; 4
+                      (   14.33   378.70   -68.53     0.88 S1)  ; 5
+                      (   14.92   378.70   -68.53     0.88 S1)  ; 6
+                      (   14.62   379.97   -69.92     0.88 S1)  ; 7
+                      (   16.09   381.24   -69.92     0.88 S1)  ; 8
+                      (   17.55   378.70   -65.63     0.88 S1)  ; 9
+                      (   16.09   376.79   -63.60     0.88 S1)  ; 10
+                      (   18.43   377.74   -60.27     0.88 S1)  ; 11
+                      (   15.50   385.38   -81.05     0.88 S1)  ; 12
+                      (   15.79   384.42   -73.38     0.88 S1)  ; 13
+                      (    9.36   389.51   -83.15     0.88 S1)  ; 14
+                      (   12.87   387.61   -80.80     0.88 S1)  ; 15
+                      (   10.82   386.33   -80.13     0.88 S1)  ; 16
+                      (   24.28   370.42   -57.40     0.88 S1)  ; 17
+                      (   24.28   370.42   -57.40     0.88 S1)  ; 18
+                      (   19.30   373.61   -64.20     0.88 S1)  ; 19
+                      (   19.01   372.65   -64.20     0.88 S1)  ; 20
+                      (   21.64   374.56   -59.97     0.88 S1)  ; 21
+                      (   22.81   372.65   -57.45     0.88 S1)  ; 22
+                      (   14.33   378.70   -68.53     0.88 S1)  ; 23
+                      (   14.92   378.70   -68.53     0.88 S1)  ; 24
+                      (   14.62   379.97   -69.92     0.88 S1)  ; 25
+                      (   16.09   381.24   -69.92     0.88 S1)  ; 26
+                      (   17.55   378.70   -65.63     0.88 S1)  ; 27
+                      (   16.09   376.79   -63.60     0.88 S1)  ; 28
+                      (   18.43   377.74   -60.27     0.88 S1)  ; 29
+                      (   15.50   385.38   -81.05     0.88 S1)  ; 30
+                      (   15.79   384.42   -73.38     0.88 S1)  ; 31
+                      (    9.36   389.51   -83.15     0.88 S1)  ; 32
+                      (   12.87   387.61   -80.80     0.88 S1)  ; 33
+                      (   10.82   386.33   -80.13     0.88 S1)  ; 34
+                    )  ;  End of markers
+                     High
+                  |
+                    (   25.41   370.50   -58.67     2.06 S1)  ; 1, R-1-1-1-1-2-2-2-2-2
+                    (   25.93   372.48   -59.07     2.06 S1)  ; 2
+                    (   27.73   375.04   -59.75     2.06 S1)  ; 3
+                    (   27.47   377.09   -56.15     2.57 S1)  ; 4
+                    (   26.44   381.35   -54.92     2.57 S1)  ; 5
+                    (   25.93   385.89   -54.32     2.57 S1)  ; 6
+                    (   24.90   391.57   -54.02     2.57 S1)  ; 7
+                    (   24.39   396.12   -53.80     2.57 S1)  ; 8
+                    (   24.90   400.67   -53.67     2.57 S1)  ; 9
+                    (   24.90   405.21   -53.53     2.57 S1)  ; 10
+                    (   25.16   409.47   -53.67     2.57 S1)  ; 11
+                    (   25.67   412.88   -54.40     2.57 S1)  ; 12
+                    (   26.19   416.57   -56.82     2.57 S1)  ; 13
+                    (   25.41   421.69   -58.17     2.57 S1)  ; 14
+                    (   25.16   425.95   -59.27     2.57 S1)  ; 15
+                    (   26.70   429.93   -59.50     2.57 S1)  ; 16
+                    (   26.44   433.90   -60.45     2.57 S1)  ; 17
+                    (   25.93   437.65   -56.42     2.57 S1)  ; 18
+                    (   26.70   441.63   -55.40     2.57 S1)  ; 19
+                    (   27.47   446.18   -55.07     2.57 S1)  ; 20
+                    (   26.70   450.72   -54.90     2.57 S1)  ; 21
+                    (   26.44   454.41   -54.67     2.57 S1)  ; 22
+                    (   28.24   458.67   -54.43     2.57 S1)  ; 23
+                    (   26.96   462.65   -53.92     2.57 S1)  ; 24
+                    (   25.93   465.21   -56.03     2.57 S1)  ; 25
+                    (   25.41   468.90   -57.00     2.57 S1)  ; 26
+                    (   24.64   474.01   -58.90     2.57 S1)  ; 27
+                    (   24.39   478.56   -59.72     2.57 S1)  ; 28
+                    (   23.36   483.73   -60.10     2.57 S1)  ; 29
+                    (   23.36   487.99   -60.72     2.57 S1)  ; 30
+                    (   24.64   490.55   -60.22     2.06 S1)  ; 31
+                    (   25.16   492.82   -57.10     2.06 S1)  ; 32
+                    (   23.36   495.09   -55.77     2.06 S1)  ; 33
+                    (   23.87   497.93   -55.20     2.83 S1)  ; 34
+                    (   24.39   502.76   -58.53     2.83 S1)  ; 35
+                    (   23.87   508.16   -59.42     2.83 S1)  ; 36
+                    (   23.87   514.13   -59.70     2.83 S1)  ; 37
+                    (   23.87   518.39   -59.87     2.83 S1)  ; 38
+                    (   21.81   522.08   -59.90     2.83 S1)  ; 39
+                    (   21.56   526.68   -57.20     2.83 S1)  ; 40
+                    (   21.56   531.51   -55.70     2.83 S1)  ; 41
+                    (   21.30   536.06   -54.85     2.83 S1)  ; 42
+                    (   20.53   539.75   -55.90     2.83 S1)  ; 43
+                    (   20.27   544.30   -59.85     2.83 S1)  ; 44
+                    (   19.76   549.69   -60.07     2.83 S1)  ; 45
+                    (   20.01   554.52   -60.22     2.83 S1)  ; 46
+                    (   20.27   561.06   -61.15     2.83 S1)  ; 47
+                    (   19.50   564.52   -61.90     2.83 S1)  ; 48
+                    (   17.96   567.36   -62.30     2.83 S1)  ; 49
+                    (   17.19   571.06   -60.03     2.83 S1)  ; 50
+                    (   17.96   574.18   -58.38     2.83 S1)  ; 51
+                    (   17.70   579.29   -58.38     2.83 S1)  ; 52
+                    (   18.21   583.84   -58.20     2.83 S1)  ; 53
+                    (   19.50   587.53   -58.13     2.83 S1)  ; 54
+                    (   18.99   591.51   -57.88     2.83 S1)  ; 55
+                    (   18.73   594.35   -57.02     2.83 S1)  ; 56
+                    (
+                      (   17.70   596.91   -58.25     1.80 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1
+                      (   16.16   602.02   -52.63     1.80 S1)  ; 2
+                      (   15.64   605.71   -51.82     1.80 S1)  ; 3
+                      (   14.87   609.69   -51.30     1.80 S1)  ; 4
+                      (   13.07   611.68   -51.15     1.80 S1)  ; 5
+                      (   12.30   614.86   -51.15     1.80 S1)  ; 6
+                      (   11.53   617.99   -49.47     1.80 S1)  ; 7
+                      (   11.01   621.40   -48.88     1.80 S1)  ; 8
+                      (   10.76   625.66   -47.88     1.80 S1)  ; 9
+                      (   10.76   629.63   -47.15     1.80 S1)  ; 10
+                      (   10.76   633.04   -46.42     1.80 S1)  ; 11
+                      (   11.01   637.59   -44.40     1.80 S1)  ; 12
+                      (   10.50   641.85   -44.25     1.80 S1)  ; 13
+                      (    9.99   645.54   -43.88     1.80 S1)  ; 14
+                      (    9.99   651.22   -43.60     1.80 S1)  ; 15
+                      (    8.96   656.39   -43.30     1.80 S1)  ; 16
+                      (    7.67   661.79   -43.02     1.80 S1)  ; 17
+                      (    7.16   666.62   -42.92     1.80 S1)  ; 18
+                      (    6.13   671.45   -42.85     1.80 S1)  ; 19
+                      (    5.61   676.00   -44.32     1.80 S1)  ; 20
+                      (    6.13   680.54   -44.02     1.80 S1)  ; 21
+                      (    6.90   683.95   -43.88     1.80 S1)  ; 22
+                      (    5.61   687.64   -43.75     1.80 S1)  ; 23
+                      (    3.30   689.63   -43.65     1.80 S1)  ; 24
+                      (    2.79   693.04   -43.22     1.80 S1)  ; 25
+                      (    4.33   697.30   -42.77     1.80 S1)  ; 26
+                      (    5.10   701.05   -42.22     1.80 S1)  ; 27
+                      (    3.81   704.74   -41.65     1.80 S1)  ; 28
+                      (    1.76   707.30   -40.57     1.80 S1)  ; 29
+                      (   -0.04   710.71   -39.32     1.80 S1)  ; 30
+                      (   -1.59   714.69   -39.45     1.29 S1)  ; 31
+                      (   -3.64   718.38   -37.50     1.29 S1)  ; 32
+                      (   -3.13   722.07   -36.33     1.29 S1)  ; 33
+                      (   -2.36   725.77   -35.53     1.29 S1)  ; 34
+                      (   -3.64   728.89   -35.25     1.29 S1)  ; 35
+                      (   -4.41   733.44   -34.60     1.29 S1)  ; 36
+                      (   -6.47   738.27   -32.95     1.29 S1)  ; 37
+                      (   -6.99   742.30   -31.48     1.29 S1)  ; 38
+                      (   -6.73   745.99   -31.27     1.29 S1)  ; 39
+                      (   -6.47   749.12   -30.80     1.29 S1)  ; 40
+                      (   -7.24   753.66   -30.40     1.29 S1)  ; 41
+                      (   -7.24   758.21   -32.55     1.29 S1)  ; 42
+                      (   -9.04   762.19   -34.47     1.29 S1)  ; 43
+                      (  -10.07   766.16   -34.10     1.29 S1)  ; 44
+                      (   -9.81   769.57   -33.72     1.29 S1)  ; 45
+                      (   -9.81   774.40   -33.40     1.29 S1)  ; 46
+                      (  -10.07   777.53   -32.92     1.29 S1)  ; 47
+                      (   -9.81   781.50   -28.95     1.29 S1)  ; 48
+                      (  -11.10   786.90   -28.63     1.29 S1)  ; 49
+                      (  -11.61   789.80   -28.23     1.29 S1)  ; 50
+                      (  -12.38   792.64   -26.48     1.29 S1)  ; 51
+                      (  -11.10   795.20   -25.35     1.29 S1)  ; 52
+                      (  -10.58   799.17   -25.35     1.29 S1)  ; 53
+                      (  -11.87   803.15   -25.15     1.29 S1)  ; 54
+                      (  -11.87   806.84   -25.03     1.29 S1)  ; 55
+                      (  -11.36   811.67   -24.90     1.29 S1)  ; 56
+                      (  -13.41   816.22   -24.65     1.29 S1)  ; 57
+                      (  -14.70   822.18   -23.70     1.29 S1)  ; 58
+                      (  -15.98   827.01   -23.67     1.29 S1)  ; 59
+                      (  -15.73   830.99   -23.23     1.29 S1)  ; 60
+                      (  -15.65   835.02   -22.80     1.29 S1)  ; 61
+                      (  -16.94   839.85   -21.75     1.29 S1)  ; 62
+                      (  -18.48   844.11   -22.10     1.29 S1)  ; 63
+                      (  -19.76   847.24   -23.13     1.54 S1)  ; 64
+                      (  -20.02   849.80   -20.20     1.54 S1)  ; 65
+                      (
+                        (  -21.82   850.93   -20.30     1.03 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-1
+                        (  -23.11   853.49   -20.00     1.03 S1)  ; 2
+                        (  -24.91   855.76   -19.70     1.03 S1)  ; 3
+                        (  -27.22   859.17   -19.50     1.03 S1)  ; 4
+                        (  -29.54   863.15   -19.33     1.03 S1)  ; 5
+                        (  -31.08   866.56   -22.73     1.03 S1)  ; 6
+                        (  -33.65   869.68   -22.25     1.03 S1)  ; 7
+                        (  -35.71   873.94   -21.92     1.03 S1)  ; 8
+                        (  -36.51   877.06   -17.85     1.03 S1)  ; 9
+                        (  -39.09   880.19   -19.15     1.03 S1)  ; 10
+                        (  -40.11   882.74   -15.52     1.03 S1)  ; 11
+                        (  -40.89   883.88   -13.92     1.03 S1)  ; 12
+                        (  -42.43   884.73   -13.32     1.03 S1)  ; 13
+                        (  -43.71   886.44   -12.38     1.03 S1)  ; 14
+                        (  -43.46   889.28   -12.38     1.03 S1)  ; 15
+                        (  -44.49   892.97   -12.07     1.03 S1)  ; 16
+                        (  -44.49   896.66   -11.53     1.03 S1)  ; 17
+                        (  -45.00   898.37   -10.73     1.03 S1)  ; 18
+                        (  -47.06   899.50   -10.15     1.03 S1)  ; 19
+                        (  -49.37   901.49    -9.50     1.03 S1)  ; 20
+                        (  -49.63   903.76    -8.52     1.03 S1)  ; 21
+                        (  -49.63   906.32    -6.70     1.03 S1)  ; 22
+                        (  -50.14   908.59    -6.10     1.03 S1)  ; 23
+                        (  -50.91   910.58    -4.52     1.03 S1)  ; 24
+                        (  -52.20   912.57    -3.95     1.03 S1)  ; 25
+                        (  -53.74   914.62    -5.20     1.03 S1)  ; 26
+                        (  -54.77   916.61    -5.05     1.03 S1)  ; 27
+
+                        (Cross
+                          (Color Green)
+                          (Name "Marker 3")
+                          (  -21.91   848.60   -19.95     0.07 S1)  ; 1
+                          (  -21.61   849.33   -19.95     0.07 S1)  ; 2
+                          (  -24.04   850.22   -19.95     0.07 S1)  ; 3
+                          (  -21.54   852.64   -20.33     0.07 S1)  ; 4
+                          (  -21.76   854.70   -19.64     0.07 S1)  ; 5
+                          (  -21.69   855.36   -19.64     0.07 S1)  ; 6
+                          (  -25.21   854.48   -20.46     0.07 S1)  ; 7
+                          (  -23.67   856.69   -19.30     0.07 S1)  ; 8
+                          (  -22.57   855.51   -19.30     0.07 S1)  ; 9
+                          (  -23.74   852.20   -19.30     0.07 S1)  ; 10
+                          (  -24.11   854.19   -18.11     0.07 S1)  ; 11
+                          (  -20.51   851.83   -18.90     0.07 S1)  ; 12
+                          (  -20.88   856.17   -20.15     0.07 S1)  ; 13
+                          (  -25.29   857.57   -20.15     0.07 S1)  ; 14
+                          (  -25.07   856.98   -20.15     0.07 S1)  ; 15
+                          (  -27.93   856.76   -21.49     0.07 S1)  ; 16
+                          (  -27.93   858.45   -21.49     0.07 S1)  ; 17
+                          (  -29.03   859.26   -21.49     0.07 S1)  ; 18
+                          (  -30.87   861.39   -20.70     0.07 S1)  ; 19
+                          (  -30.06   860.58   -19.91     0.07 S1)  ; 20
+                          (  -29.03   860.66   -19.91     0.07 S1)  ; 21
+                          (  -27.49   861.10   -19.91     0.07 S1)  ; 22
+                          (  -27.05   857.79   -19.91     0.07 S1)  ; 23
+                          (  -28.15   864.19   -19.91     0.07 S1)  ; 24
+                          (  -28.15   862.94   -19.91     0.07 S1)  ; 25
+                          (  -31.75   863.16   -19.91     0.07 S1)  ; 26
+                          (  -28.52   863.67   -21.61     0.07 S1)  ; 27
+                          (  -27.93   862.13   -22.21     0.07 S1)  ; 28
+                          (  -30.58   863.23   -22.21     0.07 S1)  ; 29
+                          (  -26.83   859.63   -22.05     0.07 S1)  ; 30
+                          (  -32.63   864.99   -18.95     0.07 S1)  ; 31
+                          (  -29.55   865.88   -19.92     0.07 S1)  ; 32
+                          (  -30.06   867.49   -20.44     0.07 S1)  ; 33
+                          (  -31.38   868.23   -20.44     0.07 S1)  ; 34
+                          (  -34.32   867.13   -20.44     0.07 S1)  ; 35
+                          (  -34.54   868.60   -20.44     0.07 S1)  ; 36
+                          (  -34.61   869.85   -20.44     0.07 S1)  ; 37
+                          (  -32.04   870.29   -20.44     0.07 S1)  ; 38
+                          (  -32.63   869.48   -20.44     0.07 S1)  ; 39
+                          (  -33.07   867.27   -21.05     0.07 S1)  ; 40
+                          (  -32.41   872.20   -18.72     0.07 S1)  ; 41
+                          (  -33.66   874.33   -18.72     0.07 S1)  ; 42
+                          (  -32.93   870.95   -19.33     0.07 S1)  ; 43
+                          (  -36.01   873.45   -19.10     0.07 S1)  ; 44
+                          (  -36.01   871.24   -20.26     0.07 S1)  ; 45
+                          (  -38.43   876.68   -20.26     0.07 S1)  ; 46
+                          (  -34.54   876.17   -18.29     0.07 S1)  ; 47
+                          (  -37.04   873.30   -17.77     0.07 S1)  ; 48
+                          (  -36.89   880.21   -17.77     0.07 S1)  ; 49
+                          (  -40.34   878.89   -18.25     0.07 S1)  ; 50
+                          (  -38.87   878.01   -16.70     0.07 S1)  ; 51
+                          (  -38.14   879.11   -15.79     0.07 S1)  ; 52
+                          (  -37.99   879.92   -15.79     0.07 S1)  ; 53
+                          (  -40.56   880.58   -15.15     0.07 S1)  ; 54
+                          (  -39.32   882.20   -15.84     0.07 S1)  ; 55
+                          (  -41.15   881.83   -15.84     0.07 S1)  ; 56
+                          (  -41.81   882.05   -14.70     0.07 S1)  ; 57
+                          (  -38.95   883.67   -14.70     0.07 S1)  ; 58
+                          (  -42.77   885.65   -14.20     0.07 S1)  ; 59
+                          (  -43.06   883.38   -15.01     0.07 S1)  ; 60
+                          (  -45.04   885.29   -13.04     0.07 S1)  ; 61
+                          (  -45.12   888.82   -14.10     0.07 S1)  ; 62
+                          (  -43.80   885.80   -14.09     0.07 S1)  ; 63
+                          (  -45.12   889.70   -12.67     0.07 S1)  ; 64
+                          (  -46.88   893.30   -12.14     0.07 S1)  ; 65
+                          (  -45.85   892.27   -12.14     0.07 S1)  ; 66
+                          (  -45.85   891.32   -12.14     0.07 S1)  ; 67
+                          (  -43.06   894.85   -12.52     0.07 S1)  ; 68
+                          (  -42.91   893.45   -12.52     0.07 S1)  ; 69
+                          (  -44.75   894.70   -12.52     0.07 S1)  ; 70
+                          (  -45.90   899.40   -11.46     0.07 S1)  ; 71
+                          (  -46.63   900.28   -11.46     0.07 S1)  ; 72
+                          (  -47.81   898.08   -10.31     0.07 S1)  ; 73
+                          (  -49.13   899.91    -9.71     0.07 S1)  ; 74
+                          (  -50.82   900.28    -9.71     0.07 S1)  ; 75
+                          (  -51.19   900.94    -9.71     0.07 S1)  ; 76
+                          (  -48.25   901.90    -9.46     0.07 S1)  ; 77
+                          (  -48.32   904.62    -9.46     0.07 S1)  ; 78
+                          (  -51.33   904.84    -9.46     0.07 S1)  ; 79
+                          (  -51.26   903.89    -9.46     0.07 S1)  ; 80
+                          (  -49.20   906.75    -8.82     0.07 S1)  ; 81
+                          (  -44.06   898.30   -12.61     0.07 S1)  ; 82
+                          (  -45.16   898.81   -12.44     0.07 S1)  ; 83
+                          (  -50.89   906.68    -8.06     0.07 S1)  ; 84
+                          (  -52.07   908.52    -8.06     0.07 S1)  ; 85
+                          (  -51.55   906.90    -7.40     0.07 S1)  ; 86
+                          (  -52.80   909.33    -7.40     0.07 S1)  ; 87
+                          (  -52.88   910.50    -7.40     0.07 S1)  ; 88
+                          (  -50.97   911.09    -6.00     0.07 S1)  ; 89
+                          (  -50.23   910.28    -6.00     0.07 S1)  ; 90
+                          (  -52.80   911.90    -4.47     0.07 S1)  ; 91
+                          (  -53.61   911.02    -5.19     0.07 S1)  ; 92
+                          (  -54.20   911.68    -5.19     0.07 S1)  ; 93
+                          (  -52.88   913.59    -4.79     0.07 S1)  ; 94
+                          (  -55.89   912.05    -4.79     0.07 S1)  ; 95
+                          (  -54.12   913.00    -3.32     0.07 S1)  ; 96
+                          (  -56.25   915.28    -3.32     0.07 S1)  ; 97
+                          (  -54.71   915.50    -3.32     0.07 S1)  ; 98
+                        )  ;  End of markers
+                        (
+                          (  -53.74   918.31    -3.25     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-1-1
+                          (  -54.26   920.30    -1.67     0.51 S1)  ; 2
+                          (  -56.06   920.87     0.10     0.51 S1)  ; 3
+                          (  -55.29   922.57     3.65     0.51 S1)  ; 4
+                          (  -53.74   925.13     4.15     0.51 S1)  ; 5
+                          (  -54.26   927.40     5.15     0.51 S1)  ; 6
+                          (  -55.80   929.10     5.55     0.51 S1)  ; 7
+                          (  -58.11   929.67     6.10     0.51 S1)  ; 8
+                          (  -59.14   930.53     6.38     0.51 S1)  ; 9
+                          (  -58.37   933.08     6.75     0.51 S1)  ; 10
+                          (  -58.37   936.21     7.07     0.51 S1)  ; 11
+                          (  -59.91   939.05     7.60     0.51 S1)  ; 12
+                          (  -60.69   942.74     7.13     0.51 S1)  ; 13
+                          (  -60.94   945.87     5.80     0.51 S1)  ; 14
+                          (  -61.71   947.29     4.97     0.51 S1)  ; 15
+                          (  -62.23   950.41     2.88     0.51 S1)  ; 16
+                          (  -60.94   952.97     1.00     0.51 S1)  ; 17
+                           Normal
+                        |
+                          (  -55.80   922.29    -4.97     0.77 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-1-2
+                          (  -56.31   926.83    -5.70     0.77 S1)  ; 2
+                          (  -58.37   928.54    -5.45     0.77 S1)  ; 3
+                          (  -59.66   931.66    -5.40     0.77 S1)  ; 4
+                          (  -58.37   934.50    -5.13     0.77 S1)  ; 5
+                          (  -56.83   938.76    -4.97     0.77 S1)  ; 6
+                          (  -57.34   942.46    -5.27     0.77 S1)  ; 7
+                          (  -57.86   945.87    -5.77     0.77 S1)  ; 8
+                          (  -57.09   948.71    -5.65     0.77 S1)  ; 9
+                          (  -57.60   952.40    -5.20     0.77 S1)  ; 10
+                          (  -56.83   954.67    -4.22     0.77 S1)  ; 11
+                          (  -57.60   958.08    -2.70     0.77 S1)  ; 12
+                          (  -58.63   963.19    -2.33     0.77 S1)  ; 13
+                          (  -59.66   965.81    -1.97     0.77 S1)  ; 14
+                          (  -57.60   968.08    -1.22     0.77 S1)  ; 15
+                          (  -58.37   968.93    -1.02     0.77 S1)  ; 16
+                          (  -60.17   970.07    -0.80     0.77 S1)  ; 17
+                          (  -60.43   972.63    -0.55     0.77 S1)  ; 18
+                          (  -60.94   975.75    -0.20     0.77 S1)  ; 19
+                          (  -62.23   977.46     1.00     0.77 S1)  ; 20
+                          (  -60.69   979.73     1.22     0.77 S1)  ; 21
+                          (  -61.97   982.00     2.53     0.77 S1)  ; 22
+                          (  -64.03   984.56     2.63     0.77 S1)  ; 23
+                          (  -65.31   987.68     2.83     0.77 S1)  ; 24
+                          (  -67.11   989.67     3.72     0.77 S1)  ; 25
+                          (  -67.89   992.80     4.20     0.77 S1)  ; 26
+                          (  -68.40   995.07     4.47     0.77 S1)  ; 27
+                          (  -70.20   996.49     5.30     0.77 S1)  ; 28
+                          (  -70.20   999.61     5.50     0.77 S1)  ; 29
+                          (  -72.00  1002.45     6.05     0.77 S1)  ; 30
+                          (  -75.08  1005.86     6.20     0.77 S1)  ; 31
+                          (  -75.96  1008.48     7.05     0.77 S1)  ; 32
+                          (  -78.27  1010.18     7.30     0.77 S1)  ; 33
+                          (  -80.84  1011.89     7.65     0.77 S1)  ; 34
+                          (  -80.33  1014.16     7.72     0.77 S1)  ; 35
+                          (  -81.62  1017.00     7.95     0.77 S1)  ; 36
+                          (  -81.36  1020.12     7.38     0.77 S1)  ; 37
+                          (  -83.42  1022.11     6.55     0.77 S1)  ; 38
+                          (  -86.24  1024.10     5.48     0.77 S1)  ; 39
+                          (  -87.02  1026.09     4.20     0.77 S1)  ; 40
+                          (  -85.99  1028.08     2.15     0.77 S1)  ; 41
+                          (  -86.50  1031.20     0.65     0.77 S1)  ; 42
+                          (  -87.79  1032.34     0.40     0.77 S1)  ; 43
+                          (  -89.33  1034.04     0.17     0.77 S1)  ; 44
+                          (  -89.33  1037.45     0.17     0.77 S1)  ; 45
+                          (  -89.59  1040.29     1.15     0.77 S1)  ; 46
+                          (  -91.39  1041.71     1.73     0.77 S1)  ; 47
+                          (  -92.16  1043.42     1.65     0.77 S1)  ; 48
+                          (  -91.64  1045.98     0.28     0.77 S1)  ; 49
+                          (  -91.64  1048.53    -1.45     0.77 S1)  ; 50
+                          (  -91.64  1051.66    -2.50     0.77 S1)  ; 51
+                          (  -93.11  1054.27    -3.90     0.77 S1)  ; 52
+                          (  -93.62  1056.83    -4.43     0.77 S1)  ; 53
+                          (  -93.11  1059.95    -3.88     0.77 S1)  ; 54
+                          (  -94.91  1061.09    -2.55     0.77 S1)  ; 55
+                          (  -96.20  1062.51    -0.47     0.77 S1)  ; 56
+                          (  -95.17  1064.50     0.00     0.77 S1)  ; 57
+                          (  -96.97  1067.91     0.65     0.77 S1)  ; 58
+                          (  -97.22  1070.18     0.95     0.77 S1)  ; 59
+                          (  -98.00  1072.17     1.22     0.77 S1)  ; 60
+                          (  -99.28  1073.02     1.97     0.77 S1)  ; 61
+                          (  -98.51  1074.72     3.65     0.77 S1)  ; 62
+                          (  -98.51  1076.14     4.45     0.77 S1)  ; 63
+                          ( -100.31  1076.71     4.72     0.77 S1)  ; 64
+                          ( -101.08  1079.55     5.95     0.77 S1)  ; 65
+                          ( -103.40  1082.68     6.35     0.77 S1)  ; 66
+                          ( -106.22  1085.80     5.35     0.77 S1)  ; 67
+                          ( -107.25  1087.79     6.00     0.77 S1)  ; 68
+                          (
+                            ( -110.60  1088.99     4.10     0.77 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-1-2-1
+                            ( -111.37  1090.69     6.05     0.77 S1)  ; 2
+                            (
+                              ( -113.94  1092.96     6.38     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-1-2-1-1
+                              ( -117.28  1094.10     3.70     0.51 S1)  ; 2
+                              ( -119.60  1095.80     2.25     0.51 S1)  ; 3
+                              ( -121.65  1096.09     1.85     0.51 S1)  ; 4
+                              ( -124.22  1097.79     1.22     0.51 S1)  ; 5
+                              ( -127.31  1099.78     0.60     0.51 S1)  ; 6
+                              ( -130.91  1100.63     0.22     0.51 S1)  ; 7
+                              ( -134.25  1101.48     2.83     0.51 S1)  ; 8
+                              ( -136.57  1101.77     3.50     0.51 S1)  ; 9
+                              ( -138.88  1102.62     5.15     0.51 S1)  ; 10
+                              ( -141.97  1103.47     6.42     0.51 S1)  ; 11
+                              ( -147.37  1105.18     6.88     0.51 S1)  ; 12
+                              ( -148.91  1106.03     8.07     0.51 S1)  ; 13
+                               Normal
+                            |
+                              ( -110.85  1093.25     5.75     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-1-2-1-2
+                              ( -112.40  1095.52     8.00     0.51 S1)  ; 2
+                              ( -113.94  1098.64     8.35     0.51 S1)  ; 3
+                              ( -115.22  1100.35     8.97     0.51 S1)  ; 4
+                              ( -116.51  1102.91     6.32     0.26 S1)  ; 5
+                              ( -117.80  1105.75     5.37     0.26 S1)  ; 6
+                              ( -116.77  1107.45     3.42     0.26 S1)  ; 7
+                              ( -114.45  1108.59     3.32     0.26 S1)  ; 8
+                               Normal
+                            )  ;  End of split
+                          |
+                            ( -108.02  1090.41     0.12     0.26 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-1-2-2
+                            ( -109.31  1092.96    -1.82     0.26 S1)  ; 2
+                            ( -111.11  1094.95    -3.75     0.26 S1)  ; 3
+                            ( -113.42  1095.23    -5.35     0.26 S1)  ; 4
+                            ( -116.25  1096.37    -6.88     0.26 S1)  ; 5
+                            ( -116.25  1097.79    -8.38     0.26 S1)  ; 6
+                            ( -118.31  1098.93    -8.63     0.26 S1)  ; 7
+                            ( -119.85  1099.50    -9.35     0.26 S1)  ; 8
+                            ( -122.17  1100.06   -10.02     0.26 S1)  ; 9
+                            ( -125.00  1102.34   -11.73     0.26 S1)  ; 10
+                            ( -127.31  1104.04   -13.57     0.26 S1)  ; 11
+                            ( -130.40  1105.75   -14.07     0.26 S1)  ; 12
+                            ( -132.71  1107.73   -14.82     0.26 S1)  ; 13
+                            ( -133.22  1108.59   -15.68     0.26 S1)  ; 14
+                            ( -134.51  1108.59   -15.82     0.26 S1)  ; 15
+                            ( -136.31  1110.01   -16.25     0.26 S1)  ; 16
+                            ( -137.85  1112.28   -17.55     0.26 S1)  ; 17
+                            ( -140.68  1114.27   -17.72     0.26 S1)  ; 18
+                            ( -141.45  1116.26   -19.27     0.26 S1)  ; 19
+                            ( -143.51  1119.10   -20.97     0.26 S1)  ; 20
+                            ( -145.57  1121.94   -21.20     0.26 S1)  ; 21
+                            ( -147.11  1124.49   -23.07     0.26 S1)  ; 22
+                            ( -148.39  1126.20   -24.58     0.26 S1)  ; 23
+                            ( -150.19  1129.04   -25.95     0.26 S1)  ; 24
+                            ( -151.99  1130.46   -28.13     0.26 S1)  ; 25
+                            ( -153.79  1133.02   -28.82     0.26 S1)  ; 26
+                            ( -156.62  1135.57   -30.67     0.26 S1)  ; 27
+                             Normal
+                          )  ;  End of split
+                        )  ;  End of split
+                      |
+                        (  -18.18   852.63   -20.65     1.03 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-2
+                        (  -17.41   856.32   -19.75     1.03 S1)  ; 2
+                        (  -18.18   860.02   -19.13     1.03 S1)  ; 3
+                        (  -17.92   863.14   -18.15     1.03 S1)  ; 4
+                        (  -18.18   866.27   -17.50     1.03 S1)  ; 5
+                        (  -18.18   869.11   -16.38     1.03 S1)  ; 6
+                        (  -16.89   871.95   -15.30     1.03 S1)  ; 7
+                        (  -16.38   875.07   -13.82     1.03 S1)  ; 8
+                        (  -16.64   877.91    -9.60     1.03 S1)  ; 9
+                        (  -17.92   879.90    -8.23     0.77 S1)  ; 10
+                        (  -18.69   881.89    -7.87     0.77 S1)  ; 11
+                        (  -17.67   884.16   -10.25     0.77 S1)  ; 12
+                        (  -17.41   886.44   -11.65     0.77 S1)  ; 13
+                        (  -17.67   888.42    -7.05     0.77 S1)  ; 14
+                        (  -18.44   889.84    -5.80     0.77 S1)  ; 15
+                        (  -18.18   892.12    -4.03     0.77 S1)  ; 16
+                        (  -17.92   894.39    -2.90     0.77 S1)  ; 17
+                        (  -18.69   895.81    -1.15     0.77 S1)  ; 18
+                        (  -19.47   898.65    -1.82     0.77 S1)  ; 19
+                        (  -20.24   904.39    -1.00     0.77 S1)  ; 20
+                        (  -20.24   907.80    -0.77     0.77 S1)  ; 21
+                        (  -20.75   910.07    -0.70     0.77 S1)  ; 22
+                        (  -20.24   913.20    -0.67     0.77 S1)  ; 23
+                        (
+                          (  -22.29   914.05     0.97     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-2-1
+                          (  -23.32   915.75     1.73     0.51 S1)  ; 2
+                          (  -23.58   918.31     3.42     0.51 S1)  ; 3
+                          (  -25.89   919.73     3.97     0.51 S1)  ; 4
+                          (  -27.18   920.58     4.30     0.51 S1)  ; 5
+                          (  -26.15   922.00     4.90     0.26 S1)  ; 6
+                          (  -24.09   922.86     5.77     0.26 S1)  ; 7
+                          (  -23.84   924.56     7.13     0.26 S1)  ; 8
+                          (  -23.84   925.70     8.25     0.26 S1)  ; 9
+                          (
+                            (  -21.27   926.55     9.72     0.26 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-2-1-1
+                            (  -20.24   927.40    10.10     0.26 S1)  ; 2
+                            (  -19.98   929.10    10.30     0.26 S1)  ; 3
+                             Normal
+                          |
+                            (  -25.38   926.83     8.68     0.26 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-2-1-2
+                            (  -25.89   928.82    10.65     0.26 S1)  ; 2
+                            (  -26.67   930.53    11.75     0.26 S1)  ; 3
+                            (  -27.69   932.23    12.80     0.26 S1)  ; 4
+                            (  -30.01   931.66    13.07     0.26 S1)  ; 5
+                             Low
+                          )  ;  End of split
+                        |
+                          (  -18.18   914.62     1.50     0.77 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-1-2-2
+                          (  -17.92   917.46     2.00     0.77 S1)  ; 2
+                          (  -17.92   919.73    -0.80     0.77 S1)  ; 3
+                          (  -18.44   921.15    -2.15     0.77 S1)  ; 4
+                          (  -18.95   922.57    -5.03     0.77 S1)  ; 5
+                          (  -17.41   923.71    -6.47     0.77 S1)  ; 6
+                          (  -15.87   923.99    -7.00     0.77 S1)  ; 7
+                          (  -15.35   925.98    -7.10     0.77 S1)  ; 8
+                          (  -15.87   927.40    -7.20     0.77 S1)  ; 9
+                          (  -13.81   929.10    -7.40     0.77 S1)  ; 10
+                          (  -13.29   931.95    -7.80     0.77 S1)  ; 11
+                          (  -12.01   935.07    -8.27     0.77 S1)  ; 12
+                          (  -10.21   936.49    -8.40     0.77 S1)  ; 13
+                          (  -10.21   939.62    -8.95     0.77 S1)  ; 14
+                          (  -10.72   942.46    -9.10     0.77 S1)  ; 15
+                          (   -8.41   944.16    -9.35     0.77 S1)  ; 16
+                          (   -7.12   946.49    -9.67     0.77 S1)  ; 17
+                          (   -6.35   949.33    -9.72     0.77 S1)  ; 18
+                          (   -6.10   951.32    -8.52     0.77 S1)  ; 19
+                          (   -6.87   953.31    -5.85     0.77 S1)  ; 20
+                          (   -6.87   954.73    -2.73     0.77 S1)  ; 21
+                          (   -7.12   957.29     0.15     0.77 S1)  ; 22
+                          (   -5.84   960.41     0.43     0.77 S1)  ; 23
+                          (   -4.55   963.54    -2.27     0.77 S1)  ; 24
+                          (   -4.04   966.38    -1.70     0.77 S1)  ; 25
+                          (   -4.04   968.36    -1.85     0.77 S1)  ; 26
+                          (   -3.52   970.92     0.30     0.77 S1)  ; 27
+                          (   -1.98   972.91     0.65     0.77 S1)  ; 28
+                          (   -1.72   973.76     0.82     0.77 S1)  ; 29
+                          (   -2.24   975.75     0.85     0.77 S1)  ; 30
+                          (   -2.24   977.17     1.05     0.77 S1)  ; 31
+                          (   -1.21   979.44     1.90     0.77 S1)  ; 32
+                          (   -0.18   981.72     2.60     0.77 S1)  ; 33
+                          (    0.08   983.76     1.13     0.51 S1)  ; 34
+                          (   -0.18   986.32     4.25     0.51 S1)  ; 35
+                          (    1.10   989.16     6.25     0.51 S1)  ; 36
+                          (    2.13   992.00     6.42     0.51 S1)  ; 37
+                          (    3.68   994.56     7.77     0.51 S1)  ; 38
+                          (    5.22   996.55     9.45     0.51 S1)  ; 39
+                          (    5.22   999.10     9.80     0.51 S1)  ; 40
+                          (    5.73  1000.81    10.60     0.51 S1)  ; 41
+                          (    3.93  1001.09    11.90     0.51 S1)  ; 42
+                          (    2.65   999.10    12.35     0.26 S1)  ; 43
+                          (    2.39   996.26    12.55     0.26 S1)  ; 44
+                          (    1.88   994.84    12.62     0.26 S1)  ; 45
+                           Low
+                        )  ;  End of split
+                      )  ;  End of split
+                    |
+                      (   19.03   598.09   -57.42     1.80 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2
+                      (   18.51   603.21   -57.92     1.80 S1)  ; 2
+                      (   17.48   608.32   -58.05     1.80 S1)  ; 3
+                      (   17.23   612.58   -58.42     1.80 S1)  ; 4
+                      (   16.71   617.13   -58.47     1.80 S1)  ; 5
+                      (   16.20   621.67   -58.55     1.80 S1)  ; 6
+                      (   15.94   626.50   -59.05     1.80 S1)  ; 7
+                      (   14.66   631.05   -59.15     1.80 S1)  ; 8
+                      (   14.91   636.45   -59.50     1.80 S1)  ; 9
+                      (   14.66   640.14   -59.50     1.80 S1)  ; 10
+                      (   14.66   643.55   -59.58     1.80 S1)  ; 11
+                      (   15.43   647.81   -59.75     1.80 S1)  ; 12
+                      (   14.40   651.79   -59.97     1.80 S1)  ; 13
+                      (   14.91   655.48   -60.55     1.80 S1)  ; 14
+                      (
+                        (   16.46   658.32   -55.35     1.54 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-1
+                        (   16.71   660.88   -53.38     1.54 S1)  ; 2
+                        (   15.68   663.43   -52.63     1.54 S1)  ; 3
+                        (   15.43   666.27   -52.33     1.54 S1)  ; 4
+                        (   16.20   668.55   -52.05     1.54 S1)  ; 5
+                        (   17.23   671.10   -52.05     1.54 S1)  ; 6
+                        (   16.20   675.08   -51.85     1.54 S1)  ; 7
+                        (   16.46   678.83   -51.72     1.54 S1)  ; 8
+                        (   15.68   683.66   -51.45     1.54 S1)  ; 9
+                        (   15.94   687.92   -51.22     1.54 S1)  ; 10
+                        (   16.20   692.18   -51.12     1.29 S1)  ; 11
+                        (   16.20   695.88   -51.03     1.29 S1)  ; 12
+                        (   16.71   698.72   -50.97     1.29 S1)  ; 13
+                        (   16.46   701.84   -50.52     1.29 S1)  ; 14
+                        (   16.46   704.97   -50.30     1.29 S1)  ; 15
+                        (   17.23   708.09   -49.43     1.29 S1)  ; 16
+                        (   17.74   711.50   -49.10     1.29 S1)  ; 17
+                        (   18.26   715.19   -48.85     1.29 S1)  ; 18
+                        (   19.54   718.60   -48.62     1.29 S1)  ; 19
+                        (   19.80   721.50   -48.50     1.29 S1)  ; 20
+                        (   19.03   724.91   -47.95     1.29 S1)  ; 21
+                        (   18.51   729.17   -47.85     1.29 S1)  ; 22
+                        (   20.31   732.86   -47.70     1.29 S1)  ; 23
+                        (   21.08   735.99   -47.53     1.29 S1)  ; 24
+                        (   21.34   739.68   -47.33     1.29 S1)  ; 25
+                        (   21.60   742.24   -46.80     1.29 S1)  ; 26
+                        (   22.63   745.93   -46.05     1.29 S1)  ; 27
+                        (   23.14   750.19   -45.92     1.29 S1)  ; 28
+                        (   23.14   755.02   -45.88     1.29 S1)  ; 29
+                        (   23.91   758.43   -45.63     1.29 S1)  ; 30
+                        (   26.48   761.84   -45.35     1.29 S1)  ; 31
+                        (   28.54   764.11   -45.13     1.29 S1)  ; 32
+                        (   28.28   767.01   -44.80     1.29 S1)  ; 33
+                        (   27.51   770.70   -43.27     1.29 S1)  ; 34
+                        (   27.51   775.53   -43.07     1.29 S1)  ; 35
+                        (   28.54   779.79   -42.80     1.29 S1)  ; 36
+                        (   28.80   783.20   -42.55     1.29 S1)  ; 37
+                        (   28.54   786.89   -42.45     1.29 S1)  ; 38
+                        (   28.03   792.01   -42.35     1.29 S1)  ; 39
+                        (   27.77   796.55   -41.90     1.29 S1)  ; 40
+                        (   27.77   800.81   -41.35     1.29 S1)  ; 41
+                        (   28.54   804.22   -40.95     1.29 S1)  ; 42
+                        (   27.77   807.92   -40.88     1.29 S1)  ; 43
+                        (   27.77   813.09   -40.48     1.29 S1)  ; 44
+                        (   27.00   817.63   -40.05     1.29 S1)  ; 45
+                        (   25.97   821.32   -39.78     1.29 S1)  ; 46
+                        (   26.74   823.88   -38.47     1.29 S1)  ; 47
+                        (   27.26   827.01   -37.70     1.29 S1)  ; 48
+                        (   27.00   831.84   -36.60     1.29 S1)  ; 49
+                        (   26.23   837.23   -36.33     1.29 S1)  ; 50
+                        (   26.48   842.06   -36.22     1.29 S1)  ; 51
+                        (   26.48   846.32   -35.97     1.29 S1)  ; 52
+                        (   25.46   850.30   -35.80     1.29 S1)  ; 53
+                        (   26.48   853.71   -35.65     1.29 S1)  ; 54
+                        (   27.51   857.18   -35.75     1.29 S1)  ; 55
+                        (   27.77   860.30   -35.22     1.29 S1)  ; 56
+
+                        (Cross
+                          (Color Green)
+                          (Name "Marker 3")
+                          (   17.16   656.13   -55.38     0.07 S1)  ; 1
+                          (   18.78   660.03   -54.74     0.07 S1)  ; 2
+                          (   18.26   661.50   -54.74     0.07 S1)  ; 3
+                          (   16.13   658.27   -53.49     0.07 S1)  ; 4
+                          (   15.76   659.44   -53.07     0.07 S1)  ; 5
+                          (   15.25   656.94   -54.14     0.07 S1)  ; 6
+                          (   16.94   657.53   -54.14     0.07 S1)  ; 7
+                          (   17.60   658.49   -54.14     0.07 S1)  ; 8
+                          (   17.89   662.16   -53.90     0.07 S1)  ; 9
+                          (   14.88   660.91   -54.76     0.07 S1)  ; 10
+                          (   16.28   663.49   -55.54     0.07 S1)  ; 11
+                          (   13.71   662.90   -56.09     0.07 S1)  ; 12
+                          (   17.53   662.16   -56.79     0.07 S1)  ; 13
+                          (   17.60   660.54   -56.79     0.07 S1)  ; 14
+                          (   17.45   654.15   -56.79     0.07 S1)  ; 15
+                          (   15.91   658.12   -58.26     0.07 S1)  ; 16
+                          (   17.89   659.00   -57.64     0.07 S1)  ; 17
+                          (   15.62   661.72   -56.34     0.07 S1)  ; 18
+                          (   14.81   663.04   -55.51     0.07 S1)  ; 19
+                          (   15.03   664.81   -56.28     0.07 S1)  ; 20
+                          (   16.28   664.81   -55.10     0.07 S1)  ; 21
+                          (   13.86   664.29   -54.38     0.07 S1)  ; 22
+                          (   18.34   666.06   -54.38     0.07 S1)  ; 23
+                          (   12.39   667.09   -54.38     0.07 S1)  ; 24
+                          (   17.53   668.12   -53.59     0.07 S1)  ; 25
+                          (   17.97   669.07   -53.59     0.07 S1)  ; 26
+                          (   17.97   670.10   -53.59     0.07 S1)  ; 27
+                          (   14.74   669.15   -54.89     0.07 S1)  ; 28
+                          (   14.37   669.51   -54.89     0.07 S1)  ; 29
+                          (   14.81   672.01   -54.51     0.07 S1)  ; 30
+                          (   14.81   673.04   -54.51     0.07 S1)  ; 31
+                          (   18.04   671.87   -55.15     0.07 S1)  ; 32
+                          (   17.82   672.60   -55.15     0.07 S1)  ; 33
+                          (   18.92   672.68   -55.15     0.07 S1)  ; 34
+                          (   18.70   670.84   -55.15     0.07 S1)  ; 35
+                          (   15.32   667.09   -56.79     0.07 S1)  ; 36
+                          (   17.53   669.37   -55.76     0.07 S1)  ; 37
+                          (   16.57   672.09   -55.76     0.07 S1)  ; 38
+                          (   14.96   676.21   -54.87     0.07 S1)  ; 39
+                          (   18.26   678.26   -53.19     0.07 S1)  ; 40
+                          (   17.45   675.54   -52.60     0.07 S1)  ; 41
+                          (   16.94   674.51   -52.60     0.07 S1)  ; 42
+                          (   17.45   673.85   -52.60     0.07 S1)  ; 43
+                          (   17.31   667.38   -51.82     0.07 S1)  ; 44
+                          (   16.57   672.82   -51.82     0.07 S1)  ; 45
+                          (   15.25   678.85   -51.82     0.07 S1)  ; 46
+                          (   14.59   680.25   -51.82     0.07 S1)  ; 47
+                          (   15.69   677.53   -51.77     0.07 S1)  ; 48
+                          (   17.23   682.46   -52.26     0.07 S1)  ; 49
+                          (   15.69   683.26   -53.14     0.07 S1)  ; 50
+                          (   15.03   685.69   -53.14     0.07 S1)  ; 51
+                          (   14.66   683.78   -53.14     0.07 S1)  ; 52
+                          (   13.64   685.03   -53.47     0.07 S1)  ; 53
+                          (   13.27   686.57   -53.47     0.07 S1)  ; 54
+                          (   12.46   684.88   -53.47     0.07 S1)  ; 55
+                          (   14.08   683.34   -54.41     0.07 S1)  ; 56
+                          (   13.56   681.72   -55.77     0.07 S1)  ; 57
+                          (   16.28   684.22   -55.65     0.07 S1)  ; 58
+                          (   17.23   686.06   -54.59     0.07 S1)  ; 59
+                          (   14.37   686.94   -51.11     0.07 S1)  ; 60
+                          (   15.47   687.97   -55.77     0.07 S1)  ; 61
+                          (   14.66   690.10   -55.77     0.07 S1)  ; 62
+                          (   18.41   690.84   -53.42     0.07 S1)  ; 63
+                          (   14.66   690.98   -53.42     0.07 S1)  ; 64
+                          (   17.53   690.62   -52.60     0.07 S1)  ; 65
+                          (   17.60   692.16   -53.60     0.07 S1)  ; 66
+                          (   17.53   693.48   -53.06     0.07 S1)  ; 67
+                          (   17.53   695.47   -52.96     0.07 S1)  ; 68
+                          (   15.32   692.45   -52.11     0.07 S1)  ; 69
+                          (   14.66   693.78   -52.11     0.07 S1)  ; 70
+                          (   16.50   695.62   -52.11     0.07 S1)  ; 71
+                          (   14.81   698.04   -51.67     0.07 S1)  ; 72
+                          (   14.15   695.76   -52.11     0.07 S1)  ; 73
+                          (   17.89   701.06   -51.67     0.07 S1)  ; 74
+                          (   17.45   700.03   -51.67     0.07 S1)  ; 75
+                          (   19.00   699.37   -51.67     0.07 S1)  ; 76
+                          (   17.31   698.48   -51.67     0.07 S1)  ; 77
+                          (   17.09   697.82   -51.67     0.07 S1)  ; 78
+                          (   14.66   700.62   -52.76     0.07 S1)  ; 79
+                          (   17.23   701.79   -53.51     0.07 S1)  ; 80
+                          (   14.74   702.23   -53.51     0.07 S1)  ; 81
+                          (   17.82   697.45   -54.89     0.07 S1)  ; 82
+                          (   14.96   696.72   -54.89     0.07 S1)  ; 83
+                          (   15.91   697.75   -54.89     0.07 S1)  ; 84
+                          (   17.09   691.35   -53.15     0.07 S1)  ; 85
+                          (   14.88   699.51   -52.25     0.07 S1)  ; 86
+                          (   15.32   688.78   -52.31     0.07 S1)  ; 87
+                          (   15.47   689.81   -52.31     0.07 S1)  ; 88
+                          (   15.18   691.20   -51.19     0.07 S1)  ; 89
+                          (   16.87   704.96   -50.47     0.07 S1)  ; 90
+                          (   17.97   707.32   -50.07     0.07 S1)  ; 91
+                          (   18.41   709.01   -50.07     0.07 S1)  ; 92
+                          (   18.70   710.85   -50.07     0.07 S1)  ; 93
+                          (   16.65   709.01   -50.07     0.07 S1)  ; 94
+                          (   16.06   711.80   -50.07     0.07 S1)  ; 95
+                          (   19.51   710.99   -49.14     0.07 S1)  ; 96
+                          (   15.32   705.26   -47.80     0.07 S1)  ; 97
+                          (   16.43   707.61   -47.80     0.07 S1)  ; 98
+                          (   17.97   709.52   -47.80     0.07 S1)  ; 99
+                          (   16.94   711.73   -47.80     0.07 S1)  ; 100
+                          (   17.31   715.33   -46.95     0.07 S1)  ; 101
+                          (   18.78   711.44   -47.67     0.07 S1)  ; 102
+                          (   17.38   712.98   -48.31     0.07 S1)  ; 103
+                          (   19.07   716.14   -48.31     0.07 S1)  ; 104
+                          (   21.42   717.83   -48.71     0.07 S1)  ; 105
+                          (   18.63   718.13   -50.31     0.07 S1)  ; 106
+                          (   20.32   721.73   -49.76     0.07 S1)  ; 107
+                          (   19.00   722.76   -50.56     0.07 S1)  ; 108
+                          (   18.34   725.55   -50.56     0.07 S1)  ; 109
+                          (   17.82   726.36   -49.83     0.07 S1)  ; 110
+                          (   23.70   732.32   -50.57     0.07 S1)  ; 111
+                          (   21.86   730.33   -50.57     0.07 S1)  ; 112
+                          (   20.32   727.98   -50.57     0.07 S1)  ; 113
+                          (   19.22   735.55   -51.16     0.07 S1)  ; 114
+                          (   19.07   733.57   -51.16     0.07 S1)  ; 115
+                          (   18.70   732.46   -50.00     0.07 S1)  ; 116
+                          (   19.88   733.35   -50.00     0.07 S1)  ; 117
+                          (   20.02   734.89   -49.20     0.07 S1)  ; 118
+                          (   20.61   736.51   -49.20     0.07 S1)  ; 119
+                          (   22.52   738.05   -49.20     0.07 S1)  ; 120
+                          (   21.35   732.10   -49.20     0.07 S1)  ; 121
+                          (   18.78   730.55   -49.20     0.07 S1)  ; 122
+                          (   21.27   728.49   -47.65     0.07 S1)  ; 123
+                          (   17.01   725.99   -48.24     0.07 S1)  ; 124
+                          (   18.34   722.10   -48.24     0.07 S1)  ; 125
+                          (   17.09   727.32   -49.00     0.07 S1)  ; 126
+                          (   22.82   741.07   -49.22     0.07 S1)  ; 127
+                          (   19.58   742.10   -49.22     0.07 S1)  ; 128
+                          (   19.14   740.11   -48.33     0.07 S1)  ; 129
+                          (   20.32   737.76   -48.33     0.07 S1)  ; 130
+                          (   19.07   737.32   -47.91     0.07 S1)  ; 131
+                          (   18.85   738.35   -47.91     0.07 S1)  ; 132
+                          (   22.23   740.04   -47.91     0.07 S1)  ; 133
+                          (   20.91   742.98   -47.91     0.07 S1)  ; 134
+                          (   23.70   742.24   -48.14     0.07 S1)  ; 135
+                          (   23.77   743.20   -48.14     0.07 S1)  ; 136
+                          (   23.33   744.74   -47.74     0.07 S1)  ; 137
+                          (   23.70   746.07   -47.74     0.07 S1)  ; 138
+                          (   20.32   740.92   -46.46     0.07 S1)  ; 139
+                          (   21.27   746.51   -47.19     0.07 S1)  ; 140
+                          (   23.18   745.33   -49.39     0.07 S1)  ; 141
+                          (   22.08   733.93   -50.30     0.07 S1)  ; 142
+                          (   17.45   731.58   -51.42     0.07 S1)  ; 143
+                          (   21.21   748.72   -46.54     0.07 S1)  ; 144
+                          (   24.37   749.01   -45.84     0.07 S1)  ; 145
+                          (   24.44   750.04   -45.84     0.07 S1)  ; 146
+                          (   24.51   751.22   -45.84     0.07 S1)  ; 147
+                          (   24.95   754.09   -45.24     0.07 S1)  ; 148
+                          (   21.21   753.35   -45.24     0.07 S1)  ; 149
+                          (   22.31   751.29   -45.24     0.07 S1)  ; 150
+                          (   22.02   748.13   -43.79     0.07 S1)  ; 151
+                          (   23.70   748.21   -43.79     0.07 S1)  ; 152
+                          (   21.50   756.07   -44.94     0.07 S1)  ; 153
+                          (   21.65   754.90   -46.29     0.07 S1)  ; 154
+                          (   25.03   758.06   -45.50     0.07 S1)  ; 155
+                          (   23.48   760.63   -46.29     0.07 S1)  ; 156
+                          (   27.89   759.75   -46.67     0.07 S1)  ; 157
+                          (   29.87   762.03   -47.37     0.07 S1)  ; 158
+                          (   29.73   768.35   -43.22     0.07 S1)  ; 159
+                          (   29.21   763.57   -43.01     0.07 S1)  ; 160
+                          (   25.25   765.93   -43.01     0.07 S1)  ; 161
+                          (   27.52   766.73   -43.01     0.07 S1)  ; 162
+                          (   28.11   765.63   -43.01     0.07 S1)  ; 163
+                          (   25.83   771.00   -43.01     0.07 S1)  ; 164
+                          (   26.35   769.31   -43.84     0.07 S1)  ; 165
+                          (   28.92   771.15   -43.84     0.07 S1)  ; 166
+                          (   29.43   759.75   -45.36     0.07 S1)  ; 167
+                          (   27.82   762.98   -42.75     0.07 S1)  ; 168
+                          (   28.70   770.04   -44.95     0.07 S1)  ; 169
+                          (   28.85   774.90   -43.22     0.07 S1)  ; 170
+                          (   30.46   777.84   -43.22     0.07 S1)  ; 171
+                          (   28.92   772.91   -44.60     0.07 S1)  ; 172
+                          (   30.83   771.95   -42.26     0.07 S1)  ; 173
+                          (   29.58   776.66   -42.26     0.07 S1)  ; 174
+                          (   26.94   776.44   -41.03     0.07 S1)  ; 175
+                          (   27.30   779.16   -41.03     0.07 S1)  ; 176
+                          (   28.48   778.13   -41.03     0.07 S1)  ; 177
+                          (   28.70   771.95   -41.11     0.07 S1)  ; 178
+                          (   27.74   771.29   -41.11     0.07 S1)  ; 179
+                          (   25.69   773.13   -41.59     0.07 S1)  ; 180
+                          (   26.35   774.60   -41.65     0.07 S1)  ; 181
+                          (   30.31   781.45   -45.48     0.07 S1)  ; 182
+                          (   29.29   787.99   -43.34     0.07 S1)  ; 183
+                          (   29.65   786.96   -44.36     0.07 S1)  ; 184
+                          (   29.80   785.64   -44.51     0.07 S1)  ; 185
+                          (   29.73   789.54   -44.51     0.07 S1)  ; 186
+                          (   29.21   791.38   -44.51     0.07 S1)  ; 187
+                          (   27.23   789.69   -44.00     0.07 S1)  ; 188
+                          (   26.94   791.74   -44.00     0.07 S1)  ; 189
+                          (   29.87   788.58   -42.50     0.07 S1)  ; 190
+                          (   29.36   793.58   -42.50     0.07 S1)  ; 191
+                          (   26.35   793.80   -41.50     0.07 S1)  ; 192
+                          (   25.54   794.98   -41.50     0.07 S1)  ; 193
+                          (   26.20   797.04   -41.50     0.07 S1)  ; 194
+                          (   26.28   799.17   -41.50     0.07 S1)  ; 195
+                          (   25.61   799.46   -41.50     0.07 S1)  ; 196
+                          (   29.36   800.13   -41.50     0.07 S1)  ; 197
+                          (   29.51   801.01   -41.50     0.07 S1)  ; 198
+                          (   29.65   795.13   -40.56     0.07 S1)  ; 199
+                          (   28.55   796.96   -40.56     0.07 S1)  ; 200
+                          (   29.21   797.99   -40.56     0.07 S1)  ; 201
+                          (   27.96   786.96   -41.17     0.07 S1)  ; 202
+                          (   27.82   787.92   -41.17     0.07 S1)  ; 203
+                          (   29.73   803.58   -40.03     0.07 S1)  ; 204
+                          (   26.13   805.27   -40.03     0.07 S1)  ; 205
+                          (   28.48   807.99   -39.61     0.07 S1)  ; 206
+                          (   26.42   801.23   -40.85     0.07 S1)  ; 207
+                          (   27.30   801.01   -42.82     0.07 S1)  ; 208
+                          (   29.87   802.26   -41.80     0.07 S1)  ; 209
+                          (   25.47   805.79   -41.03     0.07 S1)  ; 210
+                          (   28.77   806.38   -41.19     0.07 S1)  ; 211
+                          (   26.20   806.74   -38.35     0.07 S1)  ; 212
+                          (   26.28   808.88   -38.35     0.07 S1)  ; 213
+                          (   29.51   804.90   -38.35     0.07 S1)  ; 214
+                          (   26.05   807.48   -39.60     0.07 S1)  ; 215
+                          (   28.04   795.64   -41.35     0.07 S1)  ; 216
+                          (   27.67   795.13   -41.35     0.07 S1)  ; 217
+                          (   26.20   810.13   -36.13     0.07 S1)  ; 218
+                          (   25.10   809.61   -39.80     0.07 S1)  ; 219
+                          (   25.39   811.96   -39.80     0.07 S1)  ; 220
+                          (   28.92   809.90   -39.80     0.07 S1)  ; 221
+                          (   25.54   814.90   -40.21     0.07 S1)  ; 222
+                          (   26.28   813.65   -41.55     0.07 S1)  ; 223
+                          (   27.38   816.45   -38.92     0.07 S1)  ; 224
+                          (   25.91   816.38   -38.92     0.07 S1)  ; 225
+                          (   25.76   817.26   -38.92     0.07 S1)  ; 226
+                          (   25.83   815.49   -38.92     0.07 S1)  ; 227
+                          (   26.13   810.86   -38.76     0.07 S1)  ; 228
+                          (   25.83   819.02   -38.97     0.07 S1)  ; 229
+                          (   25.47   819.76   -38.97     0.07 S1)  ; 230
+                          (   28.04   818.95   -38.97     0.07 S1)  ; 231
+                          (   27.23   819.09   -38.97     0.07 S1)  ; 232
+                          (   24.44   821.74   -38.13     0.07 S1)  ; 233
+                          (   24.81   823.95   -37.21     0.07 S1)  ; 234
+                          (   24.44   823.21   -37.92     0.07 S1)  ; 235
+                          (   28.33   824.68   -40.06     0.07 S1)  ; 236
+                          (   26.13   825.42   -38.54     0.07 S1)  ; 237
+                          (   26.72   826.01   -38.54     0.07 S1)  ; 238
+                          (   25.17   826.30   -37.25     0.07 S1)  ; 239
+                          (   28.41   828.14   -36.84     0.07 S1)  ; 240
+                          (   28.41   825.34   -36.84     0.07 S1)  ; 241
+                          (   24.66   827.11   -36.84     0.07 S1)  ; 242
+                          (   24.88   827.84   -36.06     0.07 S1)  ; 243
+                          (   24.95   829.39   -36.06     0.07 S1)  ; 244
+                          (   28.63   825.05   -35.47     0.07 S1)  ; 245
+                          (   24.81   833.29   -36.26     0.07 S1)  ; 246
+                          (   27.45   833.06   -37.32     0.07 S1)  ; 247
+                          (   28.63   837.26   -37.85     0.07 S1)  ; 248
+                          (   25.32   838.06   -37.38     0.07 S1)  ; 249
+                          (   25.39   838.58   -37.38     0.07 S1)  ; 250
+                          (   27.89   840.27   -36.69     0.07 S1)  ; 251
+                          (   24.66   841.59   -36.69     0.07 S1)  ; 252
+                          (   28.18   845.56   -36.69     0.07 S1)  ; 253
+                          (   25.10   846.23   -35.76     0.07 S1)  ; 254
+                          (   26.94   839.53   -35.90     0.07 S1)  ; 255
+                          (   26.94   841.01   -35.90     0.07 S1)  ; 256
+                          (   27.30   836.81   -35.90     0.07 S1)  ; 257
+                          (   26.05   836.52   -35.90     0.07 S1)  ; 258
+                          (   26.05   835.56   -35.90     0.07 S1)  ; 259
+                          (   26.42   833.95   -35.90     0.07 S1)  ; 260
+                          (   25.32   836.96   -34.39     0.07 S1)  ; 261
+                          (   27.60   841.37   -34.39     0.07 S1)  ; 262
+                          (   28.55   842.03   -34.39     0.07 S1)  ; 263
+                          (   27.23   842.18   -33.69     0.07 S1)  ; 264
+                          (   27.08   844.61   -34.60     0.07 S1)  ; 265
+                          (   24.95   840.56   -36.56     0.07 S1)  ; 266
+                          (   23.70   848.80   -36.38     0.07 S1)  ; 267
+                          (   23.12   850.34   -36.61     0.07 S1)  ; 268
+                          (   26.28   850.86   -37.32     0.07 S1)  ; 269
+                          (   24.88   851.23   -37.32     0.07 S1)  ; 270
+                          (   26.35   848.87   -37.32     0.07 S1)  ; 271
+                          (   24.73   852.77   -37.66     0.07 S1)  ; 272
+                          (   27.96   853.28   -36.26     0.07 S1)  ; 273
+                          (   28.41   854.61   -36.26     0.07 S1)  ; 274
+                          (   25.47   856.00   -36.26     0.07 S1)  ; 275
+                          (   25.10   855.05   -35.67     0.07 S1)  ; 276
+                          (   29.14   855.64   -35.67     0.07 S1)  ; 277
+                          (   28.99   857.11   -35.67     0.07 S1)  ; 278
+                          (   26.20   854.68   -35.02     0.07 S1)  ; 279
+                          (   29.87   858.21   -35.54     0.07 S1)  ; 280
+                          (   28.11   857.77   -34.25     0.07 S1)  ; 281
+                          (   25.25   849.46   -37.06     0.07 S1)  ; 282
+                        )  ;  End of markers
+                        (
+                          (   26.23   861.72   -34.90     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-1-1
+                          (   24.17   863.71   -34.63     0.51 S1)  ; 2
+                          (   23.40   865.98   -33.97     0.51 S1)  ; 3
+                          (   23.40   868.25   -33.65     0.51 S1)  ; 4
+                          (   22.11   870.53   -33.30     0.51 S1)  ; 5
+                          (   20.57   872.23   -32.10     0.51 S1)  ; 6
+                          (   19.28   873.65   -31.13     0.51 S1)  ; 7
+                          (   19.28   875.64   -30.70     0.51 S1)  ; 8
+                          (   19.03   877.06   -30.30     0.51 S1)  ; 9
+                          (   19.80   878.77   -29.17     0.51 S1)  ; 10
+                          (   19.28   879.62   -26.28     0.51 S1)  ; 11
+                          (   19.03   881.04   -24.58     0.51 S1)  ; 12
+                          (   19.03   883.60   -24.25     0.51 S1)  ; 13
+                          (   19.03   885.30   -23.23     0.51 S1)  ; 14
+                          (   19.03   887.29   -22.10     0.51 S1)  ; 15
+                          (   18.26   888.99   -21.48     0.51 S1)  ; 16
+                          (   18.77   890.98   -21.15     0.51 S1)  ; 17
+                          (   18.00   893.25   -18.95     0.51 S1)  ; 18
+                          (   18.26   895.53   -17.60     0.51 S1)  ; 19
+                          (   16.71   897.57   -17.52     0.51 S1)  ; 20
+                          (   15.68   899.84   -17.05     0.51 S1)  ; 21
+                          (   15.68   902.97   -16.55     0.51 S1)  ; 22
+                          (   16.71   904.67   -16.17     0.51 S1)  ; 23
+                          (   16.97   906.38   -15.35     0.51 S1)  ; 24
+                          (   17.48   907.23   -11.73     0.51 S1)  ; 25
+                          (   15.43   908.08    -8.50     0.51 S1)  ; 26
+                          (   14.66   909.79    -8.05     0.26 S1)  ; 27
+                          (   15.43   911.49    -7.92     0.26 S1)  ; 28
+                          (   15.17   912.91    -7.40     0.26 S1)  ; 29
+                          (   14.40   912.63    -6.47     0.26 S1)  ; 30
+                          (   14.40   914.90    -5.10     0.26 S1)  ; 31
+                          (   13.63   916.04    -3.65     0.26 S1)  ; 32
+                          (   12.34   916.61    -1.85     0.26 S1)  ; 33
+                          (   11.83   918.31    -0.32     0.26 S1)  ; 34
+                          (   12.86   920.58     1.00     0.26 S1)  ; 35
+                          (   13.63   922.00     1.35     0.26 S1)  ; 36
+                          (   13.37   923.42     1.63     0.26 S1)  ; 37
+                          (   12.08   924.84     2.70     0.26 S1)  ; 38
+                          (   14.14   925.98     2.88     0.26 S1)  ; 39
+                          (   13.11   928.82     4.13     0.26 S1)  ; 40
+                          (   12.08   929.67     5.53     0.26 S1)  ; 41
+                          (   12.60   930.81     6.93     0.26 S1)  ; 42
+                          (   11.31   931.09     7.17     0.26 S1)  ; 43
+                          (   10.28   932.80     7.57     0.26 S1)  ; 44
+                          (    9.77   934.50     8.27     0.26 S1)  ; 45
+                          (    9.26   935.35     9.05     0.26 S1)  ; 46
+                          (    9.00   937.06     7.80     0.26 S1)  ; 47
+                          (    7.71   937.34     8.55     0.26 S1)  ; 48
+                          (    6.43   936.49     9.30     0.26 S1)  ; 49
+                          (    5.66   934.79     9.55     0.26 S1)  ; 50
+                          (    7.46   934.50     9.67     0.26 S1)  ; 51
+                           Normal
+                        |
+                          (   29.27   863.24   -35.22     1.03 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-1-2
+                          (   30.04   866.65   -33.83     1.03 S1)  ; 2
+                          (   30.30   869.77   -32.60     1.03 S1)  ; 3
+                          (   31.33   873.75   -32.50     1.03 S1)  ; 4
+                          (   32.61   875.74   -32.28     1.03 S1)  ; 5
+                          (   33.38   878.29   -32.13     1.03 S1)  ; 6
+                          (   34.41   881.70   -31.98     1.03 S1)  ; 7
+                          (   34.67   886.25   -31.55     1.03 S1)  ; 8
+                          (   33.90   889.94   -31.32     1.03 S1)  ; 9
+                          (   34.16   893.07   -31.15     1.03 S1)  ; 10
+                          (   35.18   897.61   -30.90     1.03 S1)  ; 11
+                          (   34.93   900.45   -30.67     1.03 S1)  ; 12
+                          (   34.67   903.58   -30.50     1.03 S1)  ; 13
+                          (   35.44   906.42   -30.13     1.03 S1)  ; 14
+                          (   36.21   908.69   -29.58     1.03 S1)  ; 15
+                          (   36.47   912.38   -29.20     1.03 S1)  ; 16
+                          (   35.96   916.65   -28.75     1.03 S1)  ; 17
+                          (   35.96   921.47   -28.45     1.03 S1)  ; 18
+                          (   36.00   925.64   -28.72     1.03 S1)  ; 19
+                          (   37.03   929.62   -27.27     1.03 S1)  ; 20
+                          (   36.77   931.32   -25.87     1.03 S1)  ; 21
+                          (   35.74   933.03   -25.47     1.03 S1)  ; 22
+                          (   34.20   936.72   -25.17     1.03 S1)  ; 23
+                          (   33.43   940.13   -25.07     1.03 S1)  ; 24
+                          (   34.71   942.97   -24.58     1.03 S1)  ; 25
+                          (   36.00   945.53   -23.15     1.03 S1)  ; 26
+                          (   35.49   947.52   -22.10     1.03 S1)  ; 27
+                          (   37.03   950.07   -21.80     1.03 S1)  ; 28
+                          (   37.80   953.48   -21.48     1.03 S1)  ; 29
+                          (   39.86   957.17   -21.18     1.03 S1)  ; 30
+                          (   40.89   959.73   -20.95     1.03 S1)  ; 31
+                          (   41.40   962.29   -20.38     1.03 S1)  ; 32
+                          (   41.91   964.28   -19.67     1.03 S1)  ; 33
+                          (   44.23   966.26   -18.77     1.03 S1)  ; 34
+                          (   45.51   969.39   -18.52     1.03 S1)  ; 35
+                          (   46.80   972.29   -18.15     1.03 S1)  ; 36
+                          (   47.31   975.70   -18.02     1.03 S1)  ; 37
+                          (   48.60   978.54   -17.20     1.03 S1)  ; 38
+                          (   49.11   980.24   -16.45     0.77 S1)  ; 39
+                          (   50.66   981.66   -16.07     0.77 S1)  ; 40
+                          (   51.68   982.51   -13.87     0.77 S1)  ; 41
+                          (   50.66   985.35   -12.88     0.77 S1)  ; 42
+                          (   50.40   987.34   -12.57     0.77 S1)  ; 43
+                          (   51.43   989.05   -10.73     0.77 S1)  ; 44
+                          (   53.48   990.18    -9.63     0.77 S1)  ; 45
+                          (   54.26   992.74    -8.68     0.77 S1)  ; 46
+                          (   55.80   994.73    -8.40     0.77 S1)  ; 47
+                          (   58.37   996.15    -8.23     0.77 S1)  ; 48
+                          (   59.14   997.85    -6.32     0.77 S1)  ; 49
+                          (   58.88   999.84    -3.72     0.77 S1)  ; 50
+                          (   58.88  1001.55    -3.32     0.77 S1)  ; 51
+                          (   60.68  1004.39    -2.30     0.77 S1)  ; 52
+                          (   62.23  1005.81    -1.07     0.77 S1)  ; 53
+                          (   62.23  1007.23     1.80     0.77 S1)  ; 54
+                          (   64.28  1008.65     2.30     0.77 S1)  ; 55
+                          (   65.83  1010.35     2.78     0.77 S1)  ; 56
+                          (   67.63  1011.77     2.85     0.77 S1)  ; 57
+                          (   69.43  1013.54     0.95     0.51 S1)  ; 58
+                          (   68.40  1015.81     1.70     0.51 S1)  ; 59
+                          (   69.17  1017.23     3.75     0.51 S1)  ; 60
+                          (   70.71  1019.50     4.72     0.51 S1)  ; 61
+                          (   71.74  1020.64     6.20     0.51 S1)  ; 62
+                          (
+                            (   74.31  1021.49     7.07     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-1-2-1
+                            (   75.34  1022.34     8.25     0.51 S1)  ; 2
+                            (   75.60  1024.33     8.65     0.51 S1)  ; 3
+                            (   76.63  1026.32     9.52     0.77 S1)  ; 4
+                            (
+                              (   77.66  1029.16    11.07     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-1-2-1-1
+                              (   78.43  1031.15    11.35     0.51 S1)  ; 2
+                              (   79.97  1030.86    11.95     0.51 S1)  ; 3
+                               Normal
+                            |
+                              (   79.97  1026.89     9.13     0.26 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-1-2-1-2
+                              (   82.03  1028.02     9.70     0.26 S1)  ; 2
+                              (   84.08  1027.74    10.28     0.26 S1)  ; 3
+                              (   86.14  1028.59    10.65     0.26 S1)  ; 4
+                              (   86.66  1030.01    10.85     0.26 S1)  ; 5
+                              (   86.91  1031.72    11.27     0.26 S1)  ; 6
+                               Normal
+                            )  ;  End of split
+                          |
+                            (   69.94  1021.49     7.70     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-1-2-2
+                            (   69.17  1022.63     9.32     0.51 S1)  ; 2
+                            (   70.20  1025.47    10.35     0.51 S1)  ; 3
+                            (   69.68  1027.46    12.22     0.51 S1)  ; 4
+                            (   69.17  1029.44    13.18     0.51 S1)  ; 5
+                            (   69.68  1031.43    14.60     0.51 S1)  ; 6
+                            (
+                              (   68.40  1033.99    14.85     0.26 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-1-2-2-1
+                              (   67.88  1035.41    15.38     0.26 S1)  ; 2
+                              (   66.34  1035.69    15.63     0.26 S1)  ; 3
+                              (   64.54  1036.83    15.77     0.26 S1)  ; 4
+                              (   63.51  1037.97    16.17     0.26 S1)  ; 5
+                              (   64.54  1039.10    16.42     0.26 S1)  ; 6
+                               Low
+                            |
+                              (   71.74  1032.28    14.60     0.26 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-1-2-2-2
+                              (   72.77  1033.99    15.00     0.26 S1)  ; 2
+                              (   73.54  1035.69    15.17     0.26 S1)  ; 3
+                              (   75.60  1036.26    15.63     0.26 S1)  ; 4
+                               Low
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      |
+                        (   13.03   660.91   -60.97     1.03 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2
+                        (   12.00   666.88   -61.32     1.03 S1)  ; 2
+                        (    9.94   674.55   -61.47     1.03 S1)  ; 3
+                        (    9.17   681.36   -61.65     1.03 S1)  ; 4
+                        (    8.40   687.05   -62.30     1.03 S1)  ; 5
+                        (    7.11   690.46   -63.02     1.03 S1)  ; 6
+                        (    6.08   695.28   -63.38     1.03 S1)  ; 7
+                        (    5.06   699.83   -64.97     1.03 S1)  ; 8
+                        (    3.26   704.38   -65.20     1.03 S1)  ; 9
+                        (    2.48   707.78   -65.40     1.03 S1)  ; 10
+                        (    2.74   711.19   -65.82     1.03 S1)  ; 11
+                        (    1.97   716.59   -63.05     1.03 S1)  ; 12
+                        (    2.21   720.64   -63.13     1.03 S1)  ; 13
+                        (    1.44   725.18   -61.65     1.03 S1)  ; 14
+                        (    1.19   728.59   -60.65     1.03 S1)  ; 15
+                        (    1.44   731.43   -60.27     1.03 S1)  ; 16
+                        (    1.70   734.27   -60.17     1.03 S1)  ; 17
+                        (    1.19   736.83   -60.15     1.03 S1)  ; 18
+                        (    0.16   739.39   -60.00     1.03 S1)  ; 19
+                        (    0.16   741.94   -59.87     1.03 S1)  ; 20
+                        (    0.16   745.64   -59.65     1.03 S1)  ; 21
+                        (   -0.61   749.33   -59.60     1.03 S1)  ; 22
+                        (   -1.90   752.46   -59.40     1.03 S1)  ; 23
+                        (   -0.87   755.86   -59.17     1.03 S1)  ; 24
+                        (   -1.39   758.99   -59.05     1.03 S1)  ; 25
+                        (   -1.90   762.40   -58.78     1.03 S1)  ; 26
+                        (   -2.16   767.51   -58.75     1.03 S1)  ; 27
+                        (   -1.90   771.55   -58.47     1.03 S1)  ; 28
+                        (   -0.87   775.24   -58.50     1.03 S1)  ; 29
+                        (   -1.39   779.78   -58.22     1.03 S1)  ; 30
+                        (   -1.13   784.61   -57.97     1.03 S1)  ; 31
+                        (   -2.16   787.74   -57.72     1.03 S1)  ; 32
+                        (   -2.67   791.43   -57.47     1.03 S1)  ; 33
+                        (   -1.13   795.41   -57.00     1.03 S1)  ; 34
+                        (   -1.64   798.82   -57.85     1.03 S1)  ; 35
+                        (   -3.19   803.36   -58.25     1.03 S1)  ; 36
+                        (   -3.70   808.48   -58.62     1.03 S1)  ; 37
+                        (   -3.43   813.03   -58.17     1.03 S1)  ; 38
+                        (   -3.17   816.72   -57.67     1.03 S1)  ; 39
+                        (   -3.94   820.98   -57.17     1.03 S1)  ; 40
+                        (   -6.00   824.39   -57.10     1.03 S1)  ; 41
+                        (   -6.26   828.09   -56.82     1.03 S1)  ; 42
+                        (   -6.00   831.21   -56.35     1.03 S1)  ; 43
+                        (   -7.54   834.62   -55.72     1.03 S1)  ; 44
+                        (   -8.57   837.46   -54.65     1.03 S1)  ; 45
+                        (   -7.80   840.59   -54.13     1.03 S1)  ; 46
+                        (   -7.54   844.28   -53.72     1.03 S1)  ; 47
+                        (   -7.69   846.98   -52.37     1.03 S1)  ; 48
+                        (   -8.72   849.82   -50.92     1.03 S1)  ; 49
+                        (  -10.01   854.09   -50.47     1.03 S1)  ; 50
+                        (  -10.52   857.49   -50.25     1.03 S1)  ; 51
+                        (  -10.01   860.62   -49.95     1.03 S1)  ; 52
+                        (  -10.78   864.31   -49.52     1.03 S1)  ; 53
+                        (  -12.07   867.15   -49.32     1.03 S1)  ; 54
+                        (  -11.55   869.71   -49.00     1.03 S1)  ; 55
+                        (  -11.29   873.97   -48.62     1.03 S1)  ; 56
+                        (  -11.55   876.53   -48.25     1.03 S1)  ; 57
+                        (  -12.16   878.43   -45.65     1.03 S1)  ; 58
+                        (
+                          (  -14.59   882.28   -52.65     0.77 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-1
+                          (  -16.13   885.98   -52.28     0.77 S1)  ; 2
+                          (  -17.67   887.96   -52.00     0.77 S1)  ; 3
+                          (  -19.99   890.24   -51.35     0.77 S1)  ; 4
+                          (  -20.76   893.36   -47.77     0.77 S1)  ; 5
+                          (  -22.30   895.92   -47.33     0.77 S1)  ; 6
+                          (  -24.10   900.18   -46.42     0.77 S1)  ; 7
+                          (  -25.90   905.01   -46.22     0.77 S1)  ; 8
+                          (  -26.41   907.57   -45.80     0.77 S1)  ; 9
+                          (  -27.44   908.70   -45.10     0.77 S1)  ; 10
+                          (  -28.73   909.27   -44.90     0.77 S1)  ; 11
+                          (  -29.49   913.24   -44.85     0.77 S1)  ; 12
+                          (  -31.54   917.79   -44.52     0.77 S1)  ; 13
+                          (  -32.31   920.06   -47.22     0.77 S1)  ; 14
+                          (  -33.86   922.33   -48.60     0.77 S1)  ; 15
+                          (  -35.40   925.46   -49.13     0.77 S1)  ; 16
+                          (  -35.66   928.87   -49.40     0.77 S1)  ; 17
+                          (  -36.43   930.57   -49.85     0.77 S1)  ; 18
+                          (  -37.97   932.84   -50.10     0.77 S1)  ; 19
+                          (  -39.00   936.25   -50.65     0.77 S1)  ; 20
+                          (  -40.03   939.09   -51.75     0.77 S1)  ; 21
+                          (  -40.29   942.22   -51.80     0.77 S1)  ; 22
+                          (  -40.29   945.34   -49.75     0.77 S1)  ; 23
+                          (  -41.31   947.90   -48.78     0.77 S1)  ; 24
+                          (  -42.09   951.59   -48.27     0.77 S1)  ; 25
+                          (  -42.34   954.43   -47.95     0.77 S1)  ; 26
+                          (  -43.89   957.27   -47.40     0.77 S1)  ; 27
+                          (  -44.40   959.83   -47.00     0.77 S1)  ; 28
+                          (  -45.17   963.52   -46.88     0.77 S1)  ; 29
+                          (  -46.71   967.50   -46.70     0.77 S1)  ; 30
+                          (  -48.31   971.34   -47.35     0.77 S1)  ; 31
+                          (  -49.60   973.62   -47.08     0.77 S1)  ; 32
+                          (  -51.14   974.75   -46.08     0.77 S1)  ; 33
+                          (  -52.43   976.17   -45.68     0.77 S1)  ; 34
+                          (  -51.66   978.73   -45.15     0.77 S1)  ; 35
+                          (  -50.89   981.86   -44.75     0.77 S1)  ; 36
+                          (  -51.66   984.70   -44.55     0.77 S1)  ; 37
+                          (  -52.94   986.69   -45.92     0.77 S1)  ; 38
+                          (  -53.71   988.96   -47.05     0.77 S1)  ; 39
+                          (  -54.23   990.95   -48.75     0.77 S1)  ; 40
+                          (  -54.74   994.07   -49.70     0.77 S1)  ; 41
+                          (  -55.77   997.20   -48.47     0.77 S1)  ; 42
+                          (  -56.54  1000.89   -49.17     0.77 S1)  ; 43
+                          (  -57.06  1004.30   -49.27     0.77 S1)  ; 44
+                          (  -58.34  1007.99   -49.52     0.77 S1)  ; 45
+                          (  -58.86  1011.12   -50.57     0.77 S1)  ; 46
+                          (  -59.89  1013.39   -53.27     0.77 S1)  ; 47
+                          (  -60.66  1015.09   -53.58     0.77 S1)  ; 48
+                          (  -60.66  1017.37   -53.62     0.77 S1)  ; 49
+                          (  -60.91  1019.35   -54.15     0.77 S1)  ; 50
+                          (  -62.20  1021.91   -55.60     0.77 S1)  ; 51
+                          (  -62.20  1024.75   -57.25     0.77 S1)  ; 52
+                          (  -62.71  1026.17   -57.60     0.77 S1)  ; 53
+                          (
+                            (  -64.26  1028.16   -57.60     0.77 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-1-1
+                            (  -64.51  1031.00   -57.75     0.77 S1)  ; 2
+                            (  -65.80  1033.56   -58.27     0.77 S1)  ; 3
+                            (  -67.08  1035.83   -58.45     0.77 S1)  ; 4
+                            (  -68.37  1039.52   -59.85     0.77 S1)  ; 5
+                            (  -68.88  1042.65   -60.40     0.77 S1)  ; 6
+                            (  -69.14  1046.06   -61.80     0.77 S1)  ; 7
+                            (  -69.66  1048.61   -61.82     0.51 S1)  ; 8
+                            (  -70.68  1049.75   -61.95     0.51 S1)  ; 9
+                            (  -71.97  1052.59   -62.45     0.51 S1)  ; 10
+                            (  -72.74  1055.43   -63.05     0.51 S1)  ; 11
+                            (  -74.80  1058.56   -61.77     0.51 S1)  ; 12
+                            (  -75.83  1061.68   -62.82     0.51 S1)  ; 13
+
+                            (Cross
+                              (Color Orange)
+                              (Name "Marker 3")
+                              (  -71.46  1054.58   -61.65     0.51 S1)  ; 1
+                              (  -73.51  1059.41   -61.65     0.51 S1)  ; 2
+                              (  -67.86  1036.11   -58.45     0.77 S1)  ; 3
+                              (  -67.08  1034.13   -58.45     0.77 S1)  ; 4
+                              (  -64.77  1034.13   -58.45     0.77 S1)  ; 5
+                              (  -65.54  1037.54   -59.55     0.77 S1)  ; 6
+                              (  -65.80  1031.29   -52.60     0.77 S1)  ; 7
+                              (  -65.54  1028.73   -51.70     0.77 S1)  ; 8
+                              (  -63.49  1027.59   -51.08     0.77 S1)  ; 9
+                              (  -72.48  1050.60   -62.45     0.51 S1)  ; 10
+                              (  -68.37  1048.33   -62.45     0.51 S1)  ; 11
+                              (  -67.86  1047.19   -62.45     0.51 S1)  ; 12
+                              (  -71.46  1054.58   -61.65     0.51 S1)  ; 13
+                              (  -73.51  1059.41   -61.65     0.51 S1)  ; 14
+                              (  -67.86  1036.11   -58.45     0.77 S1)  ; 15
+                              (  -67.08  1034.13   -58.45     0.77 S1)  ; 16
+                              (  -64.77  1034.13   -58.45     0.77 S1)  ; 17
+                              (  -65.54  1037.54   -59.55     0.77 S1)  ; 18
+                              (  -65.80  1031.29   -52.60     0.77 S1)  ; 19
+                              (  -65.54  1028.73   -51.70     0.77 S1)  ; 20
+                              (  -63.49  1027.59   -51.08     0.77 S1)  ; 21
+                              (  -72.48  1050.60   -62.45     0.51 S1)  ; 22
+                              (  -68.37  1048.33   -62.45     0.51 S1)  ; 23
+                              (  -67.86  1047.19   -62.45     0.51 S1)  ; 24
+                            )  ;  End of markers
+                            (
+                              (  -77.11  1065.15   -65.07     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-1-1-1
+                              (  -78.40  1067.70   -65.63     0.51 S1)  ; 2
+                              (  -80.20  1070.83   -65.97     0.51 S1)  ; 3
+                              (  -81.48  1073.10   -66.92     0.51 S1)  ; 4
+                              (  -83.03  1076.23   -67.50     0.51 S1)  ; 5
+                              (  -84.06  1078.78   -68.00     0.51 S1)  ; 6
+                              (  -85.60  1081.34   -69.55     0.51 S1)  ; 7
+                              (  -86.63  1083.33   -69.55     0.51 S1)  ; 8
+                              (  -87.14  1087.02   -69.80     0.51 S1)  ; 9
+                              (  -88.68  1090.72   -70.45     0.51 S1)  ; 10
+                              (  -89.71  1094.98   -70.80     0.51 S1)  ; 11
+                              (  -90.23  1097.53   -70.82     0.51 S1)  ; 12
+                              (  -91.00  1100.09   -70.85     0.51 S1)  ; 13
+                              (  -91.26  1102.36   -71.55     0.51 S1)  ; 14
+                              (  -92.28  1104.64   -72.05     0.51 S1)  ; 15
+                              (  -93.57  1105.77   -72.55     0.51 S1)  ; 16
+                              (  -94.08  1108.04   -72.88     0.51 S1)  ; 17
+                              (  -95.37  1110.32   -73.28     0.51 S1)  ; 18
+                              (  -96.14  1113.16   -74.32     0.51 S1)  ; 19
+                              (  -97.17  1116.28   -75.60     0.51 S1)  ; 20
+                              (  -98.20  1119.69   -76.65     0.51 S1)  ; 21
+                              (  -98.99  1122.12   -75.78     0.51 S1)  ; 22
+                              ( -100.53  1124.96   -76.77     0.51 S1)  ; 23
+                              ( -102.07  1128.37   -77.60     0.51 S1)  ; 24
+                              ( -103.61  1131.78   -79.15     0.51 S1)  ; 25
+                              ( -105.16  1135.19   -79.40     0.51 S1)  ; 26
+                              ( -107.47  1136.89   -79.60     0.51 S1)  ; 27
+                              ( -108.50  1138.03   -79.80     0.51 S1)  ; 28
+                              ( -109.53  1140.87   -78.53     0.51 S1)  ; 29
+                              ( -109.53  1142.57   -80.45     0.51 S1)  ; 30
+                              ( -110.30  1143.71   -82.83     0.51 S1)  ; 31
+                              ( -111.59  1144.84   -84.57     0.51 S1)  ; 32
+                              ( -113.13  1147.69   -83.95     0.51 S1)  ; 33
+                              ( -113.39  1149.96   -83.95     0.51 S1)  ; 34
+                              ( -113.39  1151.95   -87.70     0.51 S1)  ; 35
+                              ( -113.64  1153.65   -90.20     0.51 S1)  ; 36
+                              ( -114.67  1155.64   -93.75     0.51 S1)  ; 37
+                              ( -114.16  1157.91   -96.60     0.51 S1)  ; 38
+                              ( -113.13  1160.47   -99.07     0.51 S1)  ; 39
+                              ( -113.90  1162.46  -100.68     0.51 S1)  ; 40
+                              ( -114.41  1165.58  -104.43     0.51 S1)  ; 41
+                              ( -115.19  1168.42  -104.43     0.51 S1)  ; 42
+                              ( -116.73  1171.26  -104.90     0.51 S1)  ; 43
+                              ( -117.50  1174.67  -106.10     0.51 S1)  ; 44
+                              ( -120.84  1176.95  -107.22     0.51 S1)  ; 45
+                              ( -125.73  1179.79  -108.13     0.51 S1)  ; 46
+                              ( -132.16  1180.64  -108.45     0.51 S1)  ; 47
+                              ( -134.73  1180.35  -109.55     0.51 S1)  ; 48
+                              ( -137.56  1181.49  -109.65     0.51 S1)  ; 49
+                              ( -140.39  1182.34  -109.67     0.51 S1)  ; 50
+
+                              (Cross
+                                (Color Orange)
+                                (Name "Marker 3")
+                                (  -78.66  1068.56   -66.92     0.51 S1)  ; 1
+                                (  -75.57  1064.01   -58.58     0.51 S1)  ; 2
+                                (  -77.37  1065.72   -65.22     0.51 S1)  ; 3
+                                (  -78.66  1068.84   -65.22     0.51 S1)  ; 4
+                                (  -87.91  1084.47   -69.80     0.51 S1)  ; 5
+                                (  -87.91  1083.61   -69.80     0.51 S1)  ; 6
+                                (  -85.86  1084.75   -69.80     0.51 S1)  ; 7
+                                (  -83.80  1081.06   -69.80     0.51 S1)  ; 8
+                                (  -91.26  1097.53   -71.55     0.51 S1)  ; 9
+                                (  -87.91  1092.14   -71.55     0.51 S1)  ; 10
+                                (  -96.91  1116.28   -76.65     0.51 S1)  ; 11
+                                (  -96.66  1114.58   -72.60     0.51 S1)  ; 12
+                                (  -93.31  1108.04   -69.30     0.51 S1)  ; 13
+                                (  -90.48  1103.78   -67.82     0.51 S1)  ; 14
+                                (  -94.08  1104.92   -67.82     0.51 S1)  ; 15
+                                (  -98.20  1118.55   -72.38     0.51 S1)  ; 16
+                                (  -97.68  1117.42   -72.38     0.51 S1)  ; 17
+                                (  -98.73  1123.82   -76.77     0.51 S1)  ; 18
+                                (  -97.96  1121.27   -76.77     0.51 S1)  ; 19
+                                ( -102.07  1131.21   -74.35     0.51 S1)  ; 20
+                                ( -101.56  1129.50   -74.85     0.51 S1)  ; 21
+                                ( -103.10  1129.50   -80.80     0.51 S1)  ; 22
+                                ( -106.96  1135.75   -79.80     0.51 S1)  ; 23
+                                ( -107.99  1142.00   -81.30     0.51 S1)  ; 24
+                                ( -113.64  1147.69   -83.95     0.51 S1)  ; 25
+                                ( -114.41  1149.67   -83.95     0.51 S1)  ; 26
+                                ( -112.10  1151.66   -87.70     0.51 S1)  ; 27
+                                ( -114.93  1158.20   -98.80     0.51 S1)  ; 28
+                                ( -113.13  1158.76   -98.80     0.51 S1)  ; 29
+                                ( -115.19  1160.47   -98.80     0.51 S1)  ; 30
+                                ( -114.16  1162.74   -99.17     0.51 S1)  ; 31
+                                ( -112.87  1163.31   -99.17     0.51 S1)  ; 32
+                                ( -117.76  1171.26  -104.65     0.51 S1)  ; 33
+                                ( -114.16  1170.70  -104.65     0.51 S1)  ; 34
+                                ( -124.70  1177.23  -106.03     0.51 S1)  ; 35
+                                ( -136.79  1179.22  -109.67     0.51 S1)  ; 36
+                                ( -134.21  1181.77  -109.67     0.51 S1)  ; 37
+                              )  ;  End of markers
+                               High
+                            |
+                              (  -74.89  1064.34   -62.75     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-1-1-2
+                              (  -75.92  1065.76   -56.32     0.51 S1)  ; 2
+                              (  -76.44  1067.18   -53.90     0.51 S1)  ; 3
+                              (  -76.69  1068.60   -51.55     0.51 S1)  ; 4
+                              (  -75.66  1069.45   -51.17     0.51 S1)  ; 5
+                              (  -75.66  1071.72   -51.63     0.51 S1)  ; 6
+                              (  -74.64  1073.99   -49.30     0.51 S1)  ; 7
+                              (  -72.84  1075.70   -42.00     0.51 S1)  ; 8
+                              (  -71.29  1076.84   -39.75     0.51 S1)  ; 9
+                              (  -70.52  1078.54   -38.33     0.51 S1)  ; 10
+                              (  -69.24  1079.68   -37.08     0.51 S1)  ; 11
+                              (  -68.21  1082.23   -37.08     0.51 S1)  ; 12
+                              (  -68.46  1083.65   -36.30     0.51 S1)  ; 13
+                              (  -67.18  1084.51   -35.13     0.51 S1)  ; 14
+                              (  -67.95  1086.21   -34.00     0.51 S1)  ; 15
+                              (  -68.46  1087.91   -32.02     0.51 S1)  ; 16
+                              (  -68.46  1089.62   -30.65     0.51 S1)  ; 17
+                              (  -67.69  1091.32   -30.02     0.51 S1)  ; 18
+                              (  -66.41  1092.46   -27.73     0.51 S1)  ; 19
+                              (  -65.89  1093.88   -25.87     0.51 S1)  ; 20
+                              (  -65.64  1096.44   -24.50     0.51 S1)  ; 21
+                              (  -64.35  1097.57   -23.55     0.51 S1)  ; 22
+                              (  -64.61  1100.13   -21.98     0.51 S1)  ; 23
+                              (  -64.35  1101.55   -20.42     0.51 S1)  ; 24
+                              (  -65.64  1102.69   -18.88     0.51 S1)  ; 25
+                              (  -64.86  1103.82   -17.85     0.51 S1)  ; 26
+                              (  -65.64  1106.10   -16.47     0.51 S1)  ; 27
+                              (  -65.12  1107.23   -15.85     0.51 S1)  ; 28
+                              (  -64.35  1108.94   -15.50     0.51 S1)  ; 29
+                              (  -64.61  1111.21   -15.45     0.51 S1)  ; 30
+                              (  -65.12  1112.63   -14.18     0.51 S1)  ; 31
+                              (  -65.38  1113.77   -13.10     0.51 S1)  ; 32
+                              (  -64.61  1116.32   -12.10     0.51 S1)  ; 33
+                              (  -63.84  1118.31   -10.95     0.51 S1)  ; 34
+                              (  -65.12  1119.73    -9.17     0.51 S1)  ; 35
+                              (  -65.08  1122.84    -9.95     0.51 S1)  ; 36
+                              (  -65.08  1124.26    -7.57     0.51 S1)  ; 37
+                              (  -62.25  1125.97    -6.32     0.51 S1)  ; 38
+
+                              (Cross
+                                (Color Orange)
+                                (Name "Marker 3")
+                                (  -74.89  1068.60   -49.27     0.51 S1)  ; 1
+                                (  -75.92  1067.18   -57.10     0.51 S1)  ; 2
+                                (  -75.41  1066.04   -61.70     0.51 S1)  ; 3
+                                (  -76.69  1070.87   -51.63     0.51 S1)  ; 4
+                                (  -74.12  1072.01   -49.30     0.51 S1)  ; 5
+                                (  -72.84  1077.40   -38.33     0.51 S1)  ; 6
+                                (  -69.75  1077.69   -38.33     0.51 S1)  ; 7
+                                (  -67.95  1080.81   -37.08     0.51 S1)  ; 8
+                                (  -68.98  1084.79   -38.05     0.51 S1)  ; 9
+                                (  -67.44  1093.31   -27.73     0.51 S1)  ; 10
+                                (  -65.64  1091.61   -27.73     0.51 S1)  ; 11
+                                (  -66.41  1095.58   -24.50     0.51 S1)  ; 12
+                                (  -64.35  1105.53   -17.10     0.51 S1)  ; 13
+                                (  -66.66  1104.96   -16.47     0.51 S1)  ; 14
+                                (  -66.15  1104.68   -16.47     0.51 S1)  ; 15
+                                (  -66.41  1106.95   -15.85     0.51 S1)  ; 16
+                                (  -65.89  1108.08   -15.50     0.51 S1)  ; 17
+                                (  -65.38  1108.94   -15.50     0.51 S1)  ; 18
+                                (  -65.12  1111.49   -14.07     0.51 S1)  ; 19
+                                (  -66.15  1115.47   -11.75     0.51 S1)  ; 20
+                                (  -63.84  1116.32   -11.75     0.51 S1)  ; 21
+                                (  -66.15  1119.45    -9.17     0.51 S1)  ; 22
+                                (  -66.88  1122.84   -10.40     0.51 S1)  ; 23
+                              )  ;  End of markers
+                              (
+                                (  -62.77  1128.52    -4.75     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-1-1-2-1
+                                (  -63.02  1129.66    -1.00     0.51 S1)  ; 2
+                                (  -63.80  1131.08     1.88     0.51 S1)  ; 3
+                                (  -65.08  1130.23     5.70     0.51 S1)  ; 4
+                                (  -65.85  1128.81     6.85     0.51 S1)  ; 5
+
+                                (Cross
+                                  (Color Orange)
+                                  (Name "Marker 3")
+                                  (  -65.85  1131.08     3.55     0.51 S1)  ; 1
+                                  (  -64.05  1129.09     3.55     0.51 S1)  ; 2
+                                  (  -64.05  1131.93    -2.22     0.51 S1)  ; 3
+                                )  ;  End of markers
+                                 Normal
+                              |
+                                (  -60.45  1126.53    -7.47     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-1-1-2-2
+                                (  -57.88  1127.10     7.90     0.26 S1)  ; 2
+                                (  -56.34  1127.95     7.95     0.26 S1)  ; 3
+                                (  -55.57  1128.24     8.50     0.26 S1)  ; 4
+                                (  -54.54  1127.67     8.50     0.26 S1)  ; 5
+                                (  -54.28  1126.53     8.52     0.26 S1)  ; 6
+                                (  -52.48  1126.25     8.63     0.26 S1)  ; 7
+                                (  -51.71  1127.39     8.65     0.26 S1)  ; 8
+                                 Normal
+                              )  ;  End of split
+                            )  ;  End of split
+                          |
+                            (  -61.89  1028.47   -57.95     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-1-2
+                            (  -61.12  1030.46   -61.20     0.51 S1)  ; 2
+                            (  -60.09  1031.88   -62.67     0.51 S1)  ; 3
+                            (  -58.81  1032.73   -63.45     0.51 S1)  ; 4
+                            (  -58.29  1034.43   -64.25     0.51 S1)  ; 5
+                            (  -57.01  1035.86   -64.70     0.51 S1)  ; 6
+                            (  -56.24  1037.56   -66.17     0.51 S1)  ; 7
+                            (  -55.72  1039.26   -66.17     0.51 S1)  ; 8
+                            (  -54.69  1040.97   -67.38     0.51 S1)  ; 9
+                            (  -54.18  1043.53   -67.70     0.51 S1)  ; 10
+                            (  -53.92  1045.23   -68.07     0.51 S1)  ; 11
+                            (  -52.38  1047.79   -68.32     0.51 S1)  ; 12
+                            (  -51.35  1049.78   -69.85     0.51 S1)  ; 13
+                            (  -50.58  1051.76   -70.40     0.51 S1)  ; 14
+                            (  -51.09  1054.04   -71.25     0.51 S1)  ; 15
+                            (  -49.55  1055.74   -72.07     0.51 S1)  ; 16
+                            (  -49.55  1057.45   -73.90     0.51 S1)  ; 17
+                            (  -49.29  1060.00   -75.22     0.51 S1)  ; 18
+                            (  -49.04  1063.13   -75.32     0.51 S1)  ; 19
+                            (  -48.78  1065.97   -76.90     0.51 S1)  ; 20
+                            (  -47.75  1067.67   -77.32     0.51 S1)  ; 21
+                            (  -46.98  1069.66   -77.32     0.51 S1)  ; 22
+                            (  -46.98  1071.37   -78.70     0.51 S1)  ; 23
+                            (  -45.44  1072.50   -79.02     0.51 S1)  ; 24
+                            (  -43.64  1074.77   -79.70     0.51 S1)  ; 25
+                            (  -42.86  1077.33   -81.03     0.51 S1)  ; 26
+                            (  -42.61  1079.60   -82.83     0.51 S1)  ; 27
+                            (  -41.58  1081.59   -85.30     0.51 S1)  ; 28
+                            (  -41.61  1083.76   -86.58     0.51 S1)  ; 29
+                            (  -40.59  1085.18   -87.80     0.51 S1)  ; 30
+                            (  -39.30  1086.60   -88.70     0.51 S1)  ; 31
+                            (  -39.30  1088.02   -90.18     0.51 S1)  ; 32
+                            (  -38.53  1090.86   -86.15     0.26 S1)  ; 33
+                            (  -37.50  1093.98   -91.00     0.26 S1)  ; 34
+                            (  -36.47  1097.39   -93.25     0.26 S1)  ; 35
+                            (  -35.70  1100.80   -94.03     0.26 S1)  ; 36
+                            (  -34.67  1104.49   -96.10     0.26 S1)  ; 37
+                            (  -33.39  1109.04   -96.80     0.26 S1)  ; 38
+                            (  -31.59  1113.59   -97.60     0.26 S1)  ; 39
+                            (  -30.30  1117.28   -98.15     0.26 S1)  ; 40
+                            (  -29.53  1118.98   -98.53     0.26 S1)  ; 41
+                            (  -28.50  1120.40   -98.97     0.26 S1)  ; 42
+                            (  -27.73  1123.53   -99.22     0.26 S1)  ; 43
+                            (  -27.21  1127.51   -99.22     0.26 S1)  ; 44
+                            (  -26.19  1130.40   -99.22     0.26 S1)  ; 45
+                            (  -25.41  1133.24   -99.67     0.26 S1)  ; 46
+                            (  -24.64  1135.80  -100.37     0.26 S1)  ; 47
+                            (  -23.62  1138.36  -100.65     0.26 S1)  ; 48
+                            (  -22.33  1140.91  -100.80     0.26 S1)  ; 49
+                            (  -21.30  1143.19  -100.88     0.26 S1)  ; 50
+                            (  -21.56  1144.04  -101.10     0.26 S1)  ; 51
+                            (  -20.02  1146.03  -101.10     0.26 S1)  ; 52
+                            (  -20.02  1148.58  -101.10     0.26 S1)  ; 53
+                            (  -18.99  1151.14  -102.00     0.26 S1)  ; 54
+                            (  -18.73  1154.55  -103.20     0.26 S1)  ; 55
+                            (  -18.73  1156.54  -105.13     0.26 S1)  ; 56
+                            (  -16.93  1158.81  -105.40     0.26 S1)  ; 57
+                            (  -17.44  1161.37  -105.52     0.26 S1)  ; 58
+                            (  -15.90  1163.92  -109.15     0.26 S1)  ; 59
+                            (  -13.59  1165.91  -109.78     0.26 S1)  ; 60
+                            (  -11.79  1167.90  -111.32     0.26 S1)  ; 61
+                            (  -11.02  1170.46  -112.85     0.26 S1)  ; 62
+                            (  -11.27  1174.15  -113.47     0.26 S1)  ; 63
+                            (  -11.02  1177.56  -116.30     0.26 S1)  ; 64
+                            (  -10.76  1180.68  -116.67     0.26 S1)  ; 65
+                            (  -13.07  1182.39  -117.32     0.26 S1)  ; 66
+                             High
+                          )  ;  End of split
+                        |
+                          (  -11.10   882.15   -43.85     0.77 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2
+                          (  -10.59   885.85   -43.20     0.77 S1)  ; 2
+                          (   -9.81   889.82   -41.88     0.77 S1)  ; 3
+                          (   -9.04   892.95   -41.70     0.77 S1)  ; 4
+                          (   -7.76   895.51   -41.32     0.77 S1)  ; 5
+                          (   -8.27   898.35   -40.77     0.77 S1)  ; 6
+                          (   -8.79   901.47   -40.40     0.77 S1)  ; 7
+                          (   -8.53   904.88   -40.03     0.77 S1)  ; 8
+                          (   -8.27   907.72   -39.28     0.77 S1)  ; 9
+                          (   -7.76   910.82   -39.25     0.77 S1)  ; 10
+                          (   -7.50   913.66   -38.72     0.77 S1)  ; 11
+                          (   -7.76   917.92   -38.17     0.77 S1)  ; 12
+                          (   -8.01   921.33   -37.77     0.77 S1)  ; 13
+                          (   -7.50   924.17   -37.35     0.77 S1)  ; 14
+                          (   -8.27   927.29   -36.55     0.77 S1)  ; 15
+                          (   -7.24   929.57   -35.30     0.77 S1)  ; 16
+                          (   -6.47   931.84   -34.67     0.77 S1)  ; 17
+                          (   -7.24   934.40   -34.45     0.77 S1)  ; 18
+                          (   -7.24   936.67   -34.22     0.77 S1)  ; 19
+                          (   -6.73   939.51   -34.20     0.77 S1)  ; 20
+                          (   -7.17   942.63   -34.08     0.77 S1)  ; 21
+                          (   -7.68   946.89   -33.70     0.77 S1)  ; 22
+                          (   -8.71   950.02   -33.05     0.77 S1)  ; 23
+                          (   -9.74   952.86   -32.32     0.77 S1)  ; 24
+                          (   -9.48   955.99   -32.17     0.77 S1)  ; 25
+                          (   -9.48   957.97   -31.52     0.77 S1)  ; 26
+                          (  -10.77   959.39   -31.17     0.77 S1)  ; 27
+                          (  -11.28   961.95   -30.07     0.77 S1)  ; 28
+                          (  -10.51   964.79   -29.30     0.77 S1)  ; 29
+                          (   -9.22   966.78   -28.77     0.77 S1)  ; 30
+                          (   -8.97   969.34   -28.33     0.77 S1)  ; 31
+                          (   -9.48   971.04   -27.70     0.77 S1)  ; 32
+                          (
+                            (   -9.74   974.17   -27.08     0.77 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-1
+                            (   -9.99   977.29   -26.88     0.77 S1)  ; 2
+                            (  -10.77   980.70   -26.63     0.77 S1)  ; 3
+                            (  -10.77   984.11   -27.15     0.77 S1)  ; 4
+                            (  -11.28   987.80   -26.48     0.77 S1)  ; 5
+                            (  -11.79   990.64   -26.00     0.77 S1)  ; 6
+                            (  -11.79   993.48   -24.92     0.77 S1)  ; 7
+                            (  -13.19   996.47   -31.27     0.77 S1)  ; 8
+                            (  -12.67   998.18   -30.65     0.77 S1)  ; 9
+                            (  -11.13   999.60   -26.98     0.77 S1)  ; 10
+                            (  -10.36  1001.87   -26.48     0.51 S1)  ; 11
+                            (   -8.30  1003.01   -24.48     0.51 S1)  ; 12
+                            (   -5.73  1004.71   -24.32     0.51 S1)  ; 13
+                            (   -3.41  1005.56   -23.57     0.51 S1)  ; 14
+                            (   -1.36  1008.12   -21.77     0.51 S1)  ; 15
+                            (   -0.84  1010.39   -20.90     0.51 S1)  ; 16
+                            (   -1.36  1012.10   -19.40     0.51 S1)  ; 17
+                            (   -1.37  1015.60   -19.70     0.51 S1)  ; 18
+                            (   -1.63  1018.15   -18.72     0.51 S1)  ; 19
+                            (   -0.60  1021.00   -15.82     0.51 S1)  ; 20
+                            (    0.17  1023.55   -14.65     0.51 S1)  ; 21
+                            (    0.68  1025.82   -13.85     0.51 S1)  ; 22
+                            (    2.74  1027.25   -13.32     0.51 S1)  ; 23
+                            (    4.54  1028.10   -11.58     0.51 S1)  ; 24
+                            (    5.57  1029.23    -8.77     0.51 S1)  ; 25
+                            (    6.34  1030.37    -7.92     0.51 S1)  ; 26
+                            (    7.37  1031.79    -7.47     0.51 S1)  ; 27
+                            (    6.86  1032.93    -7.17     0.51 S1)  ; 28
+                            (    7.63  1034.35    -5.88     0.51 S1)  ; 29
+                            (    9.17  1034.35    -5.22     0.51 S1)  ; 30
+                            (   10.20  1035.77    -3.62     0.51 S1)  ; 31
+                            (   11.23  1037.47    -2.20     0.51 S1)  ; 32
+                            (   13.28  1038.61    -1.80     0.51 S1)  ; 33
+                            (   13.80  1039.46    -1.13     0.51 S1)  ; 34
+                            (   12.77  1040.88    -1.00     0.51 S1)  ; 35
+                            (   11.48  1041.73    -0.77     0.51 S1)  ; 36
+                            (   12.00  1044.01    -0.22     0.51 S1)  ; 37
+                            (   13.80  1045.99     1.75     0.51 S1)  ; 38
+                            (   15.86  1046.56     2.20     0.51 S1)  ; 39
+                            (   18.17  1046.56     2.53     0.51 S1)  ; 40
+                            (   18.94  1048.55     3.00     0.51 S1)  ; 41
+                            (   20.23  1051.68     3.25     0.51 S1)  ; 42
+                            (   20.48  1055.14     3.65     0.51 S1)  ; 43
+                            (   19.97  1057.41     4.07     0.51 S1)  ; 44
+                            (   21.77  1057.98     4.38     0.51 S1)  ; 45
+                            (   23.31  1060.54     1.65     0.77 S1)  ; 46
+                            (   24.08  1063.38     1.97     0.77 S1)  ; 47
+                            (   25.11  1065.37     2.05     0.77 S1)  ; 48
+                            (   24.86  1067.93     2.22     0.77 S1)  ; 49
+                            (   25.37  1070.77    -0.32     0.77 S1)  ; 50
+                            (   26.66  1073.04    -0.97     0.77 S1)  ; 51
+                            (
+                              (   25.37  1075.60    -2.47     0.26 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-1-1
+                              (   23.31  1076.16    -1.63     0.26 S1)  ; 2
+                              (   22.54  1077.02    -0.63     0.26 S1)  ; 3
+                              (   23.31  1079.86     0.25     0.26 S1)  ; 4
+                              (   23.57  1080.99     1.67     0.26 S1)  ; 5
+                              (   22.28  1082.98     4.47     0.26 S1)  ; 6
+                              (   23.06  1084.69     6.97     0.26 S1)  ; 7
+                              (   23.31  1087.24     7.70     0.26 S1)  ; 8
+                              (   23.57  1089.80     7.97     0.26 S1)  ; 9
+                              (   23.31  1091.50     8.95     0.26 S1)  ; 10
+                              (   23.57  1092.92     9.38     0.26 S1)  ; 11
+                              (   24.34  1094.34    10.45     0.26 S1)  ; 12
+                              (   23.57  1095.20    11.40     0.26 S1)  ; 13
+                              (   24.34  1098.04    12.25     0.26 S1)  ; 14
+                              (   23.57  1100.59    13.42     0.26 S1)  ; 15
+                              (   25.37  1102.30    13.82     0.26 S1)  ; 16
+                              (   26.40  1104.00    14.30     0.26 S1)  ; 17
+                              (   25.11  1105.14    14.80     0.26 S1)  ; 18
+                              (   23.83  1105.42    15.35     0.26 S1)  ; 19
+                              (   23.06  1106.84    15.40     0.26 S1)  ; 20
+                              (   24.34  1107.41    15.77     0.26 S1)  ; 21
+                               Low
+                            |
+                              (   27.17  1075.88    -3.42     0.77 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-1-2
+                              (   28.20  1079.57    -4.72     0.77 S1)  ; 2
+                              (   28.20  1084.12    -4.95     0.77 S1)  ; 3
+                              (   28.46  1086.96    -5.00     0.77 S1)  ; 4
+                              (   29.23  1091.22    -5.15     0.77 S1)  ; 5
+                              (   28.46  1095.20    -5.22     0.77 S1)  ; 6
+                              (   28.20  1097.19    -6.02     0.77 S1)  ; 7
+                              (   28.46  1098.32    -6.02     0.77 S1)  ; 8
+                              (   30.26  1100.88    -6.32     0.77 S1)  ; 9
+                              (   31.03  1104.00    -6.57     0.77 S1)  ; 10
+                              (   31.28  1106.28    -6.70     0.77 S1)  ; 11
+                              (   30.77  1108.26    -6.80     0.77 S1)  ; 12
+                              (   32.57  1110.54    -7.00     0.51 S1)  ; 13
+                              (   33.86  1111.96    -8.07     0.51 S1)  ; 14
+                              (   34.63  1113.66    -8.27     0.51 S1)  ; 15
+                              (   34.63  1115.65    -9.65     0.51 S1)  ; 16
+                              (   34.37  1117.36    -8.47     0.51 S1)  ; 17
+                              (   36.43  1119.34    -9.00     0.51 S1)  ; 18
+                              (   37.20  1121.62    -9.77     0.51 S1)  ; 19
+                              (   38.74  1124.17   -10.80     0.51 S1)  ; 20
+                              (
+                                (   37.97  1127.01   -10.95     0.26 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-1-2-1
+                                (   36.94  1129.29    -6.93     0.26 S1)  ; 2
+                                (   37.20  1131.28    -6.75     0.26 S1)  ; 3
+                                (   37.20  1134.12    -6.50     0.26 S1)  ; 4
+                                (   36.43  1136.10    -7.55     0.26 S1)  ; 5
+                                (   36.17  1137.81   -10.63     0.26 S1)  ; 6
+                                (   35.66  1139.23   -12.52     0.26 S1)  ; 7
+                                (   35.40  1141.50   -17.32     0.26 S1)  ; 8
+                                (   35.66  1142.92   -18.77     0.26 S1)  ; 9
+                                (   36.94  1144.91   -19.67     0.26 S1)  ; 10
+                                (   37.20  1147.18   -20.38     0.26 S1)  ; 11
+                                (   38.23  1148.89   -19.38     0.26 S1)  ; 12
+                                 Normal
+                              |
+                                (   38.74  1127.30   -15.35     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-1-2-2
+                                (   39.77  1128.72   -16.02     0.51 S1)  ; 2
+                                (   39.00  1130.71   -16.35     0.51 S1)  ; 3
+                                (   39.77  1132.70   -18.48     0.51 S1)  ; 4
+                                (   40.03  1134.68   -19.60     0.51 S1)  ; 5
+                                (   39.77  1135.54   -20.13     0.51 S1)  ; 6
+                                (   39.51  1137.24   -20.13     0.51 S1)  ; 7
+                                (   40.03  1138.66   -21.25     0.51 S1)  ; 8
+                                (   39.77  1140.37   -21.72     0.51 S1)  ; 9
+                                (   39.77  1141.79   -22.50     0.51 S1)  ; 10
+                                (   41.06  1142.64   -23.47     0.51 S1)  ; 11
+                                (   42.60  1144.63   -24.42     0.51 S1)  ; 12
+                                (   43.11  1146.33   -25.47     0.51 S1)  ; 13
+                                (   42.34  1147.47   -26.48     0.51 S1)  ; 14
+                                (   43.63  1149.17   -26.82     0.51 S1)  ; 15
+                                (   44.91  1151.44   -27.32     0.51 S1)  ; 16
+                                (   46.97  1152.30   -27.65     0.51 S1)  ; 17
+                                (   48.26  1153.72   -28.27     0.51 S1)  ; 18
+                                (   49.80  1155.71   -28.80     0.51 S1)  ; 19
+                                (   51.08  1155.71   -29.20     0.51 S1)  ; 20
+                                (   53.40  1158.26   -27.25     0.51 S1)  ; 21
+                                (   55.46  1158.55   -29.70     0.51 S1)  ; 22
+                                (   57.77  1159.40   -30.95     0.51 S1)  ; 23
+                                (   59.31  1159.97   -31.52     0.51 S1)  ; 24
+                                (   61.11  1159.68   -31.72     0.51 S1)  ; 25
+                                (   62.14  1158.83   -31.72     0.51 S1)  ; 26
+                                (   62.91  1158.26   -31.88     0.51 S1)  ; 27
+                                (   65.23  1157.98   -32.08     0.26 S1)  ; 28
+                                (   67.03  1157.69   -32.10     0.26 S1)  ; 29
+                                (   67.28  1156.27   -32.83     0.26 S1)  ; 30
+                                (   69.60  1154.00   -33.65     0.26 S1)  ; 31
+                                 Normal
+                              )  ;  End of split
+                            )  ;  End of split
+                          |
+                            (   -7.90   972.28   -27.38     0.77 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-2
+                            (   -5.59   973.70   -25.65     0.51 S1)  ; 2
+                            (   -3.79   975.12   -24.75     0.51 S1)  ; 3
+                            (   -1.99   977.39   -23.40     0.51 S1)  ; 4
+                            (   -1.73   979.10   -21.18     0.51 S1)  ; 5
+                            (   -0.44   979.95   -20.33     0.51 S1)  ; 6
+                            (    1.10   979.95   -19.95     0.51 S1)  ; 7
+                            (    1.61   982.22   -19.65     0.51 S1)  ; 8
+                            (    0.59   984.78   -19.25     0.51 S1)  ; 9
+                            (    1.87   986.48   -18.57     0.51 S1)  ; 10
+                            (    3.93   987.91   -18.15     0.51 S1)  ; 11
+                            (    5.99   989.33   -17.13     0.51 S1)  ; 12
+                            (    7.01   990.46   -16.00     0.51 S1)  ; 13
+                            (    5.99   992.17   -15.55     0.51 S1)  ; 14
+                            (    6.24   993.87   -15.15     0.51 S1)  ; 15
+                            (    8.30   996.14   -13.70     0.51 S1)  ; 16
+                            (
+                              (    9.33  1000.12   -13.30     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-2-1
+                              (    9.59  1002.11   -12.93     0.51 S1)  ; 2
+                              (    9.07  1004.95   -16.20     0.51 S1)  ; 3
+                              (    8.81  1007.51   -17.50     0.51 S1)  ; 4
+                              (    8.56  1011.77   -19.60     0.51 S1)  ; 5
+                              (    8.56  1012.90   -20.30     0.51 S1)  ; 6
+                              (    7.53  1014.04   -20.50     0.51 S1)  ; 7
+                              (    6.50  1016.88   -20.90     0.51 S1)  ; 8
+                              (    6.76  1020.01   -20.90     0.51 S1)  ; 9
+                              (    5.21  1022.56   -21.02     0.51 S1)  ; 10
+                              (    5.47  1025.97   -21.58     0.51 S1)  ; 11
+                              (    5.73  1028.53   -22.83     0.51 S1)  ; 12
+                              (    5.99  1031.65   -22.83     0.51 S1)  ; 13
+                              (    6.76  1035.35   -24.70     0.51 S1)  ; 14
+                              (    7.79  1036.77   -25.30     0.51 S1)  ; 15
+                              (    7.53  1039.89   -25.38     0.51 S1)  ; 16
+                              (    8.30  1043.58   -25.47     0.51 S1)  ; 17
+                              (    9.07  1046.14   -25.65     0.51 S1)  ; 18
+                              (    9.59  1049.61   -25.87     0.51 S1)  ; 19
+                              (   10.10  1051.60   -25.87     0.51 S1)  ; 20
+                              (   10.61  1053.30   -25.87     0.51 S1)  ; 21
+                              (   10.10  1055.29   -26.07     0.51 S1)  ; 22
+                              (   10.61  1059.27   -27.32     0.51 S1)  ; 23
+                              (   10.87  1061.54   -28.45     0.51 S1)  ; 24
+                              (
+                                (   11.90  1064.66   -28.45     0.51 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-2-1-1
+                                (   13.19  1067.22   -28.98     0.51 S1)  ; 2
+                                (   13.70  1069.21   -29.05     0.51 S1)  ; 3
+                                (   13.44  1070.35   -29.05     0.51 S1)  ; 4
+                                (   15.50  1072.33   -29.08     0.51 S1)  ; 5
+                                (   16.27  1074.32   -29.08     0.51 S1)  ; 6
+                                (   17.04  1076.03   -29.08     0.51 S1)  ; 7
+                                (   18.07  1078.87   -30.25     0.51 S1)  ; 8
+                                (   19.36  1081.42   -30.25     0.51 S1)  ; 9
+                                (   20.64  1083.70   -30.55     0.51 S1)  ; 10
+                                (   21.16  1085.12   -30.55     0.51 S1)  ; 11
+                                (   21.41  1087.11   -30.73     0.51 S1)  ; 12
+                                (   21.67  1090.51   -31.20     0.51 S1)  ; 13
+                                (   22.11  1093.41   -29.90     0.51 S1)  ; 14
+                                (   22.62  1094.83   -29.72     0.51 S1)  ; 15
+                                (   23.39  1097.67   -29.72     0.51 S1)  ; 16
+                                (   23.39  1099.09   -29.22     0.51 S1)  ; 17
+                                (   25.14  1100.28   -32.13     0.29 S1)  ; 18
+                                (   26.02  1101.87   -29.85     0.29 S1)  ; 19
+                                (   27.48  1103.15   -28.30     0.29 S1)  ; 20
+                                (   28.36  1104.74   -27.10     0.29 S1)  ; 21
+                                (   28.07  1107.28   -24.30     0.29 S1)  ; 22
+                                (   28.94  1109.83   -22.60     0.29 S1)  ; 23
+                                (   29.53  1113.01   -20.47     0.29 S1)  ; 24
+                                (   30.11  1114.60   -18.27     0.29 S1)  ; 25
+                                (   30.11  1116.19   -17.45     0.29 S1)  ; 26
+                                (   31.29  1120.01   -17.40     0.29 S1)  ; 27
+                                (   30.99  1123.25   -19.55     0.29 S1)  ; 28
+                                (   29.82  1124.85   -19.07     0.29 S1)  ; 29
+                                (   29.53  1125.80   -21.52     0.29 S1)  ; 30
+                                (   30.41  1128.03   -22.80     0.29 S1)  ; 31
+                                (   29.82  1129.94   -23.35     0.29 S1)  ; 32
+                                (   30.11  1132.80   -24.32     0.29 S1)  ; 33
+                                (   30.11  1134.71   -25.45     0.29 S1)  ; 34
+                                (   31.29  1136.30   -25.80     0.29 S1)  ; 35
+                                (   30.70  1137.89   -26.45     0.29 S1)  ; 36
+                                (   30.41  1141.07   -28.55     0.29 S1)  ; 37
+                                (   30.99  1144.26   -29.58     0.29 S1)  ; 38
+                                (   31.87  1145.85   -31.45     0.29 S1)  ; 39
+                                (   30.99  1147.76   -33.47     0.29 S1)  ; 40
+                                (   32.46  1149.66   -34.70     0.29 S1)  ; 41
+                                (   31.58  1152.53   -36.03     0.29 S1)  ; 42
+                                (   31.58  1154.76   -39.08     0.29 S1)  ; 43
+                                (   32.16  1156.66   -39.38     0.29 S1)  ; 44
+                                (   33.63  1158.57   -41.12     0.29 S1)  ; 45
+                                (   34.50  1160.80   -43.15     0.29 S1)  ; 46
+                                (   35.67  1162.39   -45.10     0.29 S1)  ; 47
+                                (   36.26  1165.26   -47.22     0.29 S1)  ; 48
+                                (   37.14  1168.44   -47.60     0.29 S1)  ; 49
+                                (   35.38  1170.03   -47.97     0.29 S1)  ; 50
+                                 Normal
+                              |
+                                (   13.44  1062.35   -28.35     0.29 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-2-1-2
+                                (   15.20  1064.58   -28.23     0.29 S1)  ; 2
+                                (   16.07  1066.49   -28.02     0.29 S1)  ; 3
+                                (   19.00  1068.08   -28.02     0.29 S1)  ; 4
+                                (   21.05  1071.58   -27.27     0.29 S1)  ; 5
+                                (   22.80  1075.08   -26.35     0.29 S1)  ; 6
+                                (   24.26  1077.31   -26.13     0.29 S1)  ; 7
+                                (   25.43  1079.85   -24.30     0.29 S1)  ; 8
+                                (   26.60  1081.45   -24.13     0.29 S1)  ; 9
+                                (   28.36  1082.72   -23.90     0.29 S1)  ; 10
+                                (   27.77  1084.31   -22.67     0.29 S1)  ; 11
+                                (   28.94  1085.58   -22.43     0.29 S1)  ; 12
+                                (   30.11  1088.13   -21.82     0.29 S1)  ; 13
+                                (   30.70  1092.58   -21.60     0.29 S1)  ; 14
+                                (   29.82  1097.67   -21.45     0.29 S1)  ; 15
+                                (   30.70  1100.85   -21.28     0.29 S1)  ; 16
+                                (   30.70  1105.63   -21.07     0.29 S1)  ; 17
+                                (   30.11  1109.13   -19.92     0.29 S1)  ; 18
+                                (   30.41  1111.35   -19.50     0.29 S1)  ; 19
+                                (   29.53  1113.26   -18.45     0.29 S1)  ; 20
+                                (   30.70  1114.54   -17.92     0.29 S1)  ; 21
+                                (   31.87  1115.81   -17.57     0.29 S1)  ; 22
+                                (   32.16  1117.40   -16.80     0.29 S1)  ; 23
+                                (   32.46  1118.99   -16.47     0.29 S1)  ; 24
+                                (   32.75  1120.26   -15.77     0.29 S1)  ; 25
+                                (   33.92  1121.54   -15.60     0.29 S1)  ; 26
+                                (   33.04  1123.13   -15.00     0.29 S1)  ; 27
+                                (   33.63  1125.04   -14.60     0.29 S1)  ; 28
+                                (   34.50  1126.95   -14.25     0.29 S1)  ; 29
+                                (   34.21  1128.22   -13.55     0.29 S1)  ; 30
+                                (   34.80  1130.45   -12.90     0.29 S1)  ; 31
+                                (   35.38  1132.67   -12.00     0.29 S1)  ; 32
+                                (   34.80  1134.26   -11.63     0.29 S1)  ; 33
+                                (   33.92  1135.54   -11.32     0.29 S1)  ; 34
+                                (   34.21  1136.49   -11.02     0.29 S1)  ; 35
+                                (   34.50  1138.40   -10.77     0.29 S1)  ; 36
+                                (   36.26  1140.31   -10.55     0.29 S1)  ; 37
+                                (   38.31  1141.90   -10.33     0.29 S1)  ; 38
+                                (   40.06  1143.17   -10.17     0.29 S1)  ; 39
+                                (   40.70  1144.79   -13.95     0.29 S1)  ; 40
+                                (   41.29  1146.70   -15.63     0.29 S1)  ; 41
+                                (   43.04  1146.70   -17.80     0.29 S1)  ; 42
+                                (   43.63  1148.61   -18.08     0.29 S1)  ; 43
+                                (   44.50  1150.20   -18.70     0.29 S1)  ; 44
+                                (   43.92  1151.47   -19.82     0.29 S1)  ; 45
+                                (   43.92  1152.11   -22.70     0.29 S1)  ; 46
+                                (   45.38  1153.70   -24.42     0.29 S1)  ; 47
+                                (   45.97  1153.06   -26.67     0.29 S1)  ; 48
+                                (   48.01  1153.06   -29.22     0.29 S1)  ; 49
+                                (   49.48  1154.66   -30.38     0.29 S1)  ; 50
+                                (   49.77  1154.02   -32.35     0.29 S1)  ; 51
+                                (   51.52  1155.61   -33.80     0.29 S1)  ; 52
+                                (   52.11  1156.56   -34.25     0.29 S1)  ; 53
+                                (   53.28  1157.84   -34.92     0.29 S1)  ; 54
+                                (   54.74  1160.06   -35.88     0.29 S1)  ; 55
+                                (   56.50  1161.02   -36.30     0.29 S1)  ; 56
+                                 Normal
+                              )  ;  End of split
+                            |
+                              (   11.80   998.81   -10.97     0.29 S1)  ; 1, R-1-1-1-1-2-2-2-2-2-2-2-2-2-2
+                              (   13.26  1000.72   -10.55     0.29 S1)  ; 2
+                              (   15.02  1001.68    -9.35     0.29 S1)  ; 3
+                              (   17.36  1001.36    -8.15     0.29 S1)  ; 4
+                              (   17.94  1002.31    -6.60     0.29 S1)  ; 5
+                              (   18.23  1003.59    -5.20     0.29 S1)  ; 6
+                              (   19.99  1003.90    -4.35     0.29 S1)  ; 7
+                              (   20.87  1005.81    -3.90     0.29 S1)  ; 8
+                              (   22.33  1006.45    -2.97     0.29 S1)  ; 9
+                              (   23.50  1007.09    -1.73     0.29 S1)  ; 10
+                              (   24.38  1008.36    -0.93     0.29 S1)  ; 11
+                              (   25.25  1009.95    -0.55     0.29 S1)  ; 12
+                              (   26.42  1010.59     1.60     0.29 S1)  ; 13
+                              (   27.01  1011.54     3.80     0.29 S1)  ; 14
+                              (   29.35  1012.81     3.92     0.29 S1)  ; 15
+                              (   30.23  1013.45     5.72     0.29 S1)  ; 16
+                              (   31.69  1015.04     6.78     0.29 S1)  ; 17
+                              (   32.86  1016.63     7.02     0.29 S1)  ; 18
+                              (   33.44  1017.59     7.05     0.29 S1)  ; 19
+                              (   33.85  1019.70     4.90     0.29 S1)  ; 20
+                              (   35.22  1021.04     5.95     0.29 S1)  ; 21
+                              (   36.98  1020.40     6.25     0.29 S1)  ; 22
+                              (   38.44  1019.45     6.57     0.29 S1)  ; 23
+                              (   38.44  1020.40     6.75     0.29 S1)  ; 24
+                              (   38.44  1021.67     6.88     0.29 S1)  ; 25
+                              (   40.19  1022.95     7.45     0.29 S1)  ; 26
+                              (   41.95  1022.63     7.92     0.29 S1)  ; 27
+                              (   42.24  1023.26     8.35     0.29 S1)  ; 28
+                              (   42.24  1024.22     8.55     0.29 S1)  ; 29
+                              (   44.00  1025.49     9.15     0.29 S1)  ; 30
+                              (   45.17  1026.76     9.20     0.29 S1)  ; 31
+                              (   45.75  1027.40     9.20     0.29 S1)  ; 32
+                              (   46.92  1028.67     9.75     0.29 S1)  ; 33
+                              (   48.68  1029.63    10.07     0.29 S1)  ; 34
+                              (   49.85  1030.26     9.35     0.29 S1)  ; 35
+                              (   49.26  1031.86     9.15     0.29 S1)  ; 36
+                              (   50.72  1033.13     8.05     0.29 S1)  ; 37
+                              (   52.48  1033.76     5.95     0.29 S1)  ; 38
+                              (   52.77  1035.04     5.65     0.29 S1)  ; 39
+                              (   54.53  1036.31     4.97     0.29 S1)  ; 40
+                              (   56.57  1037.58     4.70     0.29 S1)  ; 41
+                              (   57.74  1036.63     4.30     0.29 S1)  ; 42
+                              (   59.21  1037.26     4.82     0.29 S1)  ; 43
+                              (   60.08  1038.54     6.75     0.29 S1)  ; 44
+                              (   61.84  1039.49     8.30     0.29 S1)  ; 45
+                              (   64.76  1041.72     8.65     0.29 S1)  ; 46
+                              (   67.10  1041.72    10.50     0.29 S1)  ; 47
+                              (   70.03  1042.67    10.80     0.29 S1)  ; 48
+                              (   72.95  1043.95    11.73     0.29 S1)  ; 49
+                              (   76.46  1046.17    12.47     0.29 S1)  ; 50
+                              (   77.34  1048.72    12.85     0.29 S1)  ; 51
+                              (   79.68  1050.63    12.98     0.29 S1)  ; 52
+                              (   81.14  1050.63    13.15     0.29 S1)  ; 53
+                              (   84.07  1052.86    13.38     0.29 S1)  ; 54
+                               Normal
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  )  ;  End of split
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          )  ;  End of split
+        |
+          (   24.19   194.74   -45.63     0.88 S1)  ; 1, R-1-1-1-2
+          (   23.02   196.02   -51.03     0.88 S1)  ; 2
+          (   21.86   197.30   -55.13     0.88 S1)  ; 3
+          (   20.10   197.94   -57.37     0.88 S1)  ; 4
+          (   19.52   200.18   -60.15     0.88 S1)  ; 5
+          (   17.77   203.06   -63.05     0.88 S1)  ; 6
+          (   16.60   204.98   -63.80     0.88 S1)  ; 7
+          (   13.98   207.55   -65.63     0.88 S1)  ; 8
+          (   12.52   210.43   -66.00     0.88 S1)  ; 9
+          (   10.77   212.35   -68.13     0.88 S1)  ; 10
+          (    9.60   215.23   -69.05     0.88 S1)  ; 11
+          (    9.60   217.15   -72.17     0.88 S1)  ; 12
+          (    9.02   219.39   -74.13     0.88 S1)  ; 13
+          (    7.26   222.92   -76.45     0.88 S1)  ; 14
+          (    6.10   223.88   -82.30     0.88 S1)  ; 15
+          (    4.64   227.40   -82.38     0.88 S1)  ; 16
+          (    3.47   230.28   -86.13     0.88 S1)  ; 17
+          (    1.43   231.88   -87.72     0.88 S1)  ; 18
+          (    1.14   234.44   -89.95     0.88 S1)  ; 19
+          (   -2.66   235.40   -94.03     0.88 S1)  ; 20
+           Incomplete
+        )  ;  End of split
+      |
+        (   28.28   154.05   -49.40     1.17 S1)  ; 1, R-1-1-2
+        (   30.32   153.09   -40.57     1.17 S1)  ; 2
+        (   31.49   154.37   -36.33     1.17 S1)  ; 3
+        (   33.53   155.33   -33.33     1.17 S1)  ; 4
+        (   35.57   155.97   -32.40     1.17 S1)  ; 5
+        (
+          (   38.20   156.61   -31.20     1.17 S1)  ; 1, R-1-1-2-1
+          (   40.53   156.93   -32.47     1.17 S1)  ; 2
+          (   43.16   156.93   -33.95     1.17 S1)  ; 3
+          (   46.66   159.17   -34.88     1.17 S1)  ; 4
+          (
+            (   47.54   160.77   -30.83     1.17 S1)  ; 1, R-1-1-2-1-1
+            (   49.87   162.37   -31.40     1.17 S1)  ; 2
+            (   51.91   164.30   -28.92     0.88 S1)  ; 3
+            (   53.87   163.99   -26.80     0.88 S1)  ; 4
+            (   56.78   165.59   -26.13     0.88 S1)  ; 5
+            (   57.66   168.15   -25.70     0.88 S1)  ; 6
+            (   59.70   170.71   -25.03     0.88 S1)  ; 7
+            (   62.33   171.99   -23.57     0.88 S1)  ; 8
+            (   64.08   173.91   -23.02     0.88 S1)  ; 9
+            (   66.41   174.55   -21.32     0.88 S1)  ; 10
+            (   67.87   175.19   -20.50     0.88 S1)  ; 11
+            (
+              (   71.08   176.16   -19.82     0.88 S1)  ; 1, R-1-1-2-1-1-1
+              (   73.13   177.12   -19.17     0.88 S1)  ; 2
+              (   74.58   179.36   -20.30     0.88 S1)  ; 3
+              (   75.17   181.92   -24.35     0.88 S1)  ; 4
+              (   76.04   184.48   -24.80     0.88 S1)  ; 5
+              (   76.92   186.40   -27.97     0.88 S1)  ; 6
+              (   77.21   188.32   -31.27     0.88 S1)  ; 7
+              (   76.34   190.89   -31.58     0.88 S1)  ; 8
+              (   75.46   193.13   -32.47     0.88 S1)  ; 9
+              (   75.75   194.41   -32.60     0.88 S1)  ; 10
+              (   76.63   196.01   -32.63     0.88 S1)  ; 11
+              (   77.79   198.25   -32.65     0.88 S1)  ; 12
+              (   78.96   198.89   -33.15     0.88 S1)  ; 13
+              (   78.96   201.45   -33.33     0.88 S1)  ; 14
+              (   79.55   203.69   -33.83     0.88 S1)  ; 15
+              (   80.42   204.97   -33.97     0.88 S1)  ; 16
+              (   81.30   206.26   -31.52     0.88 S1)  ; 17
+              (   82.46   208.18   -29.45     0.88 S1)  ; 18
+              (   82.17   211.06   -29.05     0.88 S1)  ; 19
+              (   82.46   212.98   -32.92     0.88 S1)  ; 20
+              (   83.05   215.86   -34.42     0.88 S1)  ; 21
+              (   83.34   217.46   -35.40     0.88 S1)  ; 22
+              (   85.09   219.38   -37.02     0.88 S1)  ; 23
+              (   85.97   221.31   -37.80     0.88 S1)  ; 24
+              (   86.84   224.19   -38.03     0.88 S1)  ; 25
+              (   89.18   226.11   -38.90     0.88 S1)  ; 26
+              (   90.63   228.35   -40.03     0.88 S1)  ; 27
+              (
+                (   94.39   229.66   -40.35     0.29 S1)  ; 1, R-1-1-2-1-1-1-1
+                (   95.85   230.31   -42.53     0.29 S1)  ; 2
+                (   97.02   231.59   -44.27     0.29 S1)  ; 3
+                (   98.18   230.95   -44.85     0.29 S1)  ; 4
+                (  100.23   231.27   -45.22     0.29 S1)  ; 5
+                (  103.44   232.87   -45.42     0.29 S1)  ; 6
+                (  105.19   234.47   -45.57     0.29 S1)  ; 7
+                (  108.40   235.75   -45.92     0.29 S1)  ; 8
+                (  110.73   236.71   -47.10     0.29 S1)  ; 9
+                (  112.78   235.75   -47.25     0.29 S1)  ; 10
+                (  116.28   236.39   -43.70     0.29 S1)  ; 11
+                (  118.03   235.11   -42.92     0.29 S1)  ; 12
+                (  119.78   234.47   -39.88     0.29 S1)  ; 13
+                (  123.28   233.51   -38.17     0.29 S1)  ; 14
+                (  125.61   231.91   -37.15     0.29 S1)  ; 15
+                (  128.24   231.27   -34.88     0.29 S1)  ; 16
+                 Normal
+              |
+                (   93.58   232.43   -40.20     0.29 S1)  ; 1, R-1-1-2-1-1-1-2
+                (   95.33   236.28   -40.40     0.29 S1)  ; 2
+                (   98.54   237.88   -40.45     0.29 S1)  ; 3
+                (  100.29   240.44   -40.45     0.29 S1)  ; 4
+                (  104.67   241.40   -40.52     0.29 S1)  ; 5
+                (  105.84   242.04   -41.22     0.29 S1)  ; 6
+                (  106.13   243.96   -41.52     0.29 S1)  ; 7
+                (  108.17   246.52   -41.80     0.29 S1)  ; 8
+                (  110.50   248.12   -42.53     0.29 S1)  ; 9
+                (  112.55   251.33   -43.27     0.29 S1)  ; 10
+                (  114.01   254.21   -43.55     0.29 S1)  ; 11
+                (  116.34   256.77   -44.32     0.29 S1)  ; 12
+                (  118.97   256.77   -45.92     0.29 S1)  ; 13
+                (  120.43   258.37   -47.63     0.29 S1)  ; 14
+                (  122.18   260.29   -48.15     0.29 S1)  ; 15
+                (  123.34   262.53   -50.68     0.29 S1)  ; 16
+                (  126.26   264.78   -50.72     0.29 S1)  ; 17
+                (  128.89   267.98   -50.77     0.29 S1)  ; 18
+                (  130.64   269.58   -52.28     0.29 S1)  ; 19
+                (  131.81   272.14   -53.97     0.29 S1)  ; 20
+                (  134.43   273.74   -53.05     0.29 S1)  ; 21
+                (  136.18   275.02   -53.92     0.29 S1)  ; 22
+                (  138.23   276.94   -55.40     0.29 S1)  ; 23
+                (  139.69   278.22   -57.63     0.29 S1)  ; 24
+                (  140.27   280.79   -58.27     0.29 S1)  ; 25
+                 Normal
+              )  ;  End of split
+            |
+              (   67.61   176.72   -18.13     0.29 S1)  ; 1, R-1-1-2-1-1-2
+              (   65.86   178.64   -15.52     0.29 S1)  ; 2
+              (   64.98   180.56   -14.88     0.29 S1)  ; 3
+              (   64.69   183.12   -12.93     0.29 S1)  ; 4
+              (   63.81   185.04   -11.25     0.29 S1)  ; 5
+              (   62.36   185.68    -9.57     0.29 S1)  ; 6
+              (   60.31   187.28    -8.38     0.29 S1)  ; 7
+              (   61.48   190.17    -6.22     0.29 S1)  ; 8
+              (   62.36   192.41    -4.20     0.29 S1)  ; 9
+              (   62.65   194.33    -2.83     0.29 S1)  ; 10
+              (   62.06   197.21    -2.65     0.29 S1)  ; 11
+              (   61.77   200.09    -2.47     0.29 S1)  ; 12
+              (   62.06   202.97    -2.75     0.29 S1)  ; 13
+              (   61.77   205.22    -4.15     0.29 S1)  ; 14
+              (   61.77   206.50    -5.77     0.29 S1)  ; 15
+              (   60.90   209.06    -7.55     0.29 S1)  ; 16
+              (   61.77   210.98    -7.95     0.29 S1)  ; 17
+              (   62.06   212.26    -7.17     0.29 S1)  ; 18
+              (   62.36   213.22    -3.78     0.29 S1)  ; 19
+              (   60.90   215.78    -3.08     0.29 S1)  ; 20
+              (   60.60   216.74    -2.53     0.29 S1)  ; 21
+              (   60.90   218.99     0.05     0.29 S1)  ; 22
+              (   62.06   221.87     0.50     0.29 S1)  ; 23
+              (   62.94   223.15     0.60     0.29 S1)  ; 24
+              (   64.11   224.43    -4.55     0.29 S1)  ; 25
+              (   62.94   225.71    -5.92     0.29 S1)  ; 26
+              (   63.52   226.35    -7.65     0.29 S1)  ; 27
+              (   63.23   227.95   -10.07     0.29 S1)  ; 28
+              (   63.23   229.87   -11.17     0.29 S1)  ; 29
+              (   64.40   231.15   -11.27     0.29 S1)  ; 30
+              (   67.32   233.07   -10.48     0.29 S1)  ; 31
+               Normal
+            )  ;  End of split
+          |
+            (   50.10   158.79   -34.88     1.17 S1)  ; 1, R-1-1-2-1-2
+            (   53.02   159.11   -35.67     1.17 S1)  ; 2
+            (   55.94   158.14   -36.27     1.17 S1)  ; 3
+            (   58.85   157.82   -36.27     1.17 S1)  ; 4
+            (   60.90   159.43   -37.38     1.17 S1)  ; 5
+            (   63.81   160.39   -38.05     1.17 S1)  ; 6
+            (   67.32   161.03   -38.25     1.17 S1)  ; 7
+            (   71.11   159.75   -37.32     1.17 S1)  ; 8
+            (   73.44   157.82   -39.67     1.17 S1)  ; 9
+            (   75.20   157.18   -39.67     0.88 S1)  ; 10
+            (   78.70   158.79   -37.77     0.88 S1)  ; 11
+            (   80.74   159.75   -40.48     0.88 S1)  ; 12
+            (   83.37   159.11   -40.52     0.88 S1)  ; 13
+            (   85.70   157.82   -40.90     0.88 S1)  ; 14
+            (   87.16   159.43   -41.12     0.88 S1)  ; 15
+            (   90.66   160.71   -39.40     0.88 S1)  ; 16
+            (   94.46   160.71   -38.80     0.88 S1)  ; 17
+            (   97.96   161.35   -38.55     0.88 S1)  ; 18
+            (  100.29   159.43   -38.40     0.88 S1)  ; 19
+            (  103.21   161.67   -37.75     0.88 S1)  ; 20
+            (  107.00   161.67   -37.50     0.88 S1)  ; 21
+            (  110.51   161.03   -36.38     0.88 S1)  ; 22
+            (  113.42   161.67   -35.02     0.88 S1)  ; 23
+            (  115.47   161.99   -33.47     0.88 S1)  ; 24
+            (  119.55   162.31   -32.72     0.88 S1)  ; 25
+            (  121.59   161.35   -32.40     0.88 S1)  ; 26
+            (  123.34   163.27   -33.92     0.88 S1)  ; 27
+            (  125.68   164.23   -36.10     0.88 S1)  ; 28
+            (  129.47   164.23   -36.20     0.88 S1)  ; 29
+            (  131.27   165.67   -35.02     0.88 S1)  ; 30
+            (  132.73   167.92   -33.92     0.58 S1)  ; 31
+            (  136.23   168.24   -32.25     0.58 S1)  ; 32
+            (  139.15   168.24   -32.02     0.58 S1)  ; 33
+            (  140.61   169.20   -30.80     0.58 S1)  ; 34
+            (  142.06   171.76   -30.47     0.58 S1)  ; 35
+            (  143.09   174.68   -30.47     0.58 S1)  ; 36
+            (  144.25   176.92   -34.88     0.58 S1)  ; 37
+            (  147.17   178.20   -36.25     0.58 S1)  ; 38
+            (  149.21   178.52   -37.05     0.58 S1)  ; 39
+            (  150.67   179.81   -37.20     0.58 S1)  ; 40
+            (  153.59   181.09   -38.97     0.58 S1)  ; 41
+            (  157.09   182.05   -40.05     0.29 S1)  ; 42
+            (  159.43   183.01   -40.85     0.29 S1)  ; 43
+            (  160.30   184.29   -41.12     0.29 S1)  ; 44
+            (  162.64   184.61   -42.77     0.29 S1)  ; 45
+            (  166.14   184.29   -44.10     0.29 S1)  ; 46
+            (  167.89   185.89   -45.20     0.29 S1)  ; 47
+            (  168.18   187.81   -45.88     0.29 S1)  ; 48
+             Normal
+          )  ;  End of split
+        |
+          (   35.41   157.39   -26.50     1.17 S1)  ; 1, R-1-1-2-2
+          (
+            (   36.57   159.31   -24.17     0.88 S1)  ; 1, R-1-1-2-2-1
+            (   36.86   161.55   -23.27     0.88 S1)  ; 2
+            (   38.62   162.51   -19.97     0.88 S1)  ; 3
+            (   39.49   162.83   -16.95     0.88 S1)  ; 4
+            (   37.45   162.19   -15.75     0.88 S1)  ; 5
+            (   38.03   163.15   -12.88     0.88 S1)  ; 6
+            (   36.28   163.80   -10.33     0.58 S1)  ; 7
+            (   35.11   163.80   -12.70     0.58 S1)  ; 8
+            (   35.99   165.72    -8.97     0.58 S1)  ; 9
+            (   36.86   167.00    -3.10     0.58 S1)  ; 10
+            (   35.70   167.64    -1.50     0.58 S1)  ; 11
+            (   36.57   170.20     1.55     0.58 S1)  ; 12
+            (   35.99   170.20     5.37     0.58 S1)  ; 13
+            (   35.11   169.88    10.52     0.58 S1)  ; 14
+            (
+              (   32.78   168.28    10.52     0.29 S1)  ; 1, R-1-1-2-2-1-1
+              (   32.20   166.36    10.92     0.29 S1)  ; 2
+              (   30.44   164.44    10.92     0.29 S1)  ; 3
+               Normal
+            |
+              (   36.28   172.12    10.52     0.29 S1)  ; 1, R-1-1-2-2-1-2
+              (   35.70   173.08    14.20     0.29 S1)  ; 2
+              (   34.24   173.40    14.45     0.29 S1)  ; 3
+              (   33.36   174.36    14.72     0.29 S1)  ; 4
+              (   32.20   173.08    15.35     0.29 S1)  ; 5
+               Low
+            )  ;  End of split
+          |
+            (   33.07   159.31   -21.98     0.88 S1)  ; 1, R-1-1-2-2-2
+            (   29.57   160.59   -21.00     0.88 S1)  ; 2
+            (   27.23   162.83   -20.50     0.88 S1)  ; 3
+            (   26.07   164.44   -18.92     0.88 S1)  ; 4
+            (   24.02   166.36   -18.77     0.88 S1)  ; 5
+            (   23.15   167.96   -16.63     0.88 S1)  ; 6
+            (
+              (   23.91   170.15   -13.77     0.88 S1)  ; 1, R-1-1-2-2-2-1
+              (   22.46   171.11   -12.85     0.88 S1)  ; 2
+              (   21.00   172.39   -11.63     0.88 S1)  ; 3
+              (   21.87   174.63    -9.27     0.88 S1)  ; 4
+              (   22.75   176.55    -6.65     0.88 S1)  ; 5
+              (   21.29   178.80    -4.50     0.88 S1)  ; 6
+              (   19.83   180.08    -3.70     0.88 S1)  ; 7
+              (   20.12   182.64    -2.00     0.88 S1)  ; 8
+              (   20.41   185.52    -1.90     0.88 S1)  ; 9
+              (   19.83   187.44    -1.70     0.88 S1)  ; 10
+              (   19.83   190.00    -1.55     0.88 S1)  ; 11
+              (   20.41   192.56    -1.47     0.88 S1)  ; 12
+              (   19.83   196.41    -1.40     0.88 S1)  ; 13
+              (   18.95   200.57    -0.80     0.88 S1)  ; 14
+              (   17.20   203.45    -0.80     0.88 S1)  ; 15
+              (   15.74   204.73    -0.65     0.88 S1)  ; 16
+              (   17.49   206.65    -0.20     0.88 S1)  ; 17
+              (   18.66   209.22     0.17     0.88 S1)  ; 18
+              (   18.66   211.78     0.45     0.88 S1)  ; 19
+              (   17.49   214.02     1.38     0.88 S1)  ; 20
+              (   17.79   216.58     1.80     0.88 S1)  ; 21
+              (   17.49   219.14     1.90     0.88 S1)  ; 22
+              (   18.08   221.38     1.20     0.88 S1)  ; 23
+              (   19.25   222.99     0.05     0.88 S1)  ; 24
+              (   18.08   225.55    -0.67     0.88 S1)  ; 25
+              (   18.37   228.75    -2.33     0.88 S1)  ; 26
+              (   17.79   231.63    -3.40     0.88 S1)  ; 27
+              (   15.45   233.23    -3.50     0.88 S1)  ; 28
+              (   12.83   235.15    -4.75     0.58 S1)  ; 29
+              (   11.66   237.39    -5.53     0.58 S1)  ; 30
+              (   11.37   240.28    -6.65     0.58 S1)  ; 31
+              (   11.95   242.84    -6.73     0.58 S1)  ; 32
+              (   11.37   246.68    -6.90     0.58 S1)  ; 33
+              (    9.91   247.32    -6.90     0.58 S1)  ; 34
+              (    6.70   248.60    -7.00     0.58 S1)  ; 35
+              (    4.36   249.56    -7.53     0.58 S1)  ; 36
+              (    2.90   248.92    -7.67     0.58 S1)  ; 37
+               Normal
+            |
+              (   21.29   167.52   -15.80     0.88 S1)  ; 1, R-1-1-2-2-2-2
+              (   19.25   168.16   -13.23     0.88 S1)  ; 2
+              (   17.49   167.52   -11.10     0.88 S1)  ; 3
+              (   16.33   166.24    -9.30     0.88 S1)  ; 4
+              (   13.12   164.64    -9.02     0.88 S1)  ; 5
+              (    9.91   164.00    -8.47     0.88 S1)  ; 6
+              (    7.28   163.68    -8.42     0.88 S1)  ; 7
+              (
+                (    4.36   161.76   -10.63     0.58 S1)  ; 1, R-1-1-2-2-2-2-1
+                (    2.32   161.12   -10.17     0.58 S1)  ; 2
+                (    0.28   161.12    -8.82     0.58 S1)  ; 3
+                (   -0.01   161.44    -4.90     0.58 S1)  ; 4
+                (   -0.89   160.48    -1.02     0.58 S1)  ; 5
+                (   -2.06   160.16    -0.57     0.58 S1)  ; 6
+                (   -2.93   160.80     1.00     0.58 S1)  ; 7
+                (   -2.93   162.40     3.80     0.58 S1)  ; 8
+                (   -4.68   163.04     4.75     0.58 S1)  ; 9
+                (   -6.73   164.32     5.07     0.58 S1)  ; 10
+                (   -8.77   165.60     6.65     0.58 S1)  ; 11
+                (  -10.81   165.28     7.50     0.58 S1)  ; 12
+                (  -13.15   164.64     8.25     0.58 S1)  ; 13
+                (  -13.44   165.92    10.10     0.58 S1)  ; 14
+                (  -15.48   167.52    11.85     0.58 S1)  ; 15
+                (  -17.52   167.52    12.40     0.58 S1)  ; 16
+                (  -19.27   167.52    12.75     0.58 S1)  ; 17
+                (  -20.73   167.52    14.38     0.58 S1)  ; 18
+                (  -23.36   167.52    14.57     0.58 S1)  ; 19
+                (  -26.28   167.52    15.05     0.58 S1)  ; 20
+                 Low
+              |
+                (    5.24   165.60    -8.40     0.58 S1)  ; 1, R-1-1-2-2-2-2-2
+                (    3.49   164.32    -6.52     0.58 S1)  ; 2
+                (    2.03   164.64    -4.78     0.58 S1)  ; 3
+                (    1.74   165.60    -3.42     0.58 S1)  ; 4
+                (   -1.18   165.28    -1.58     0.58 S1)  ; 5
+                (   -2.35   166.56     1.45     0.58 S1)  ; 6
+                (   -2.93   168.16     3.08     0.58 S1)  ; 7
+                (   -3.81   169.45     4.75     0.58 S1)  ; 8
+                (   -5.56   168.81     6.75     0.58 S1)  ; 9
+                (   -7.31   168.48     7.65     0.58 S1)  ; 10
+                (   -7.31   169.77     8.25     0.58 S1)  ; 11
+                (   -9.35   170.41    13.00     0.58 S1)  ; 12
+                (   -9.64   170.41    13.57     0.58 S1)  ; 13
+                (
+                  (  -11.98   169.45     9.35     0.58 S1)  ; 1, R-1-1-2-2-2-2-2-1
+                  (  -14.60   169.13     8.05     0.58 S1)  ; 2
+                  (  -16.36   169.45     6.05     0.58 S1)  ; 3
+                   Normal
+                |
+                  (   -9.64   172.33    13.57     0.58 S1)  ; 1, R-1-1-2-2-2-2-2-2
+                  (   -9.94   174.25    12.20     0.58 S1)  ; 2
+                  (  -10.81   174.89    11.13     0.58 S1)  ; 3
+                   Low
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          )  ;  End of split
+        )  ;  End of split
+      )  ;  End of split
+    |
+      (   28.00   125.83   -42.33     1.17 S1)  ; 1, R-1-2
+      (   31.50   125.51   -45.03     1.17 S1)  ; 2
+      (   35.30   124.87   -46.88     1.17 S1)  ; 3
+      (   38.51   123.27   -46.88     1.17 S1)  ; 4
+      (   40.55   121.67   -47.90     1.17 S1)  ; 5
+      (   43.17   120.39   -50.07     1.17 S1)  ; 6
+      (   46.97   119.75   -51.17     1.17 S1)  ; 7
+      (   51.05   117.83   -51.38     1.17 S1)  ; 8
+      (   53.10   117.19   -51.67     1.17 S1)  ; 9
+      (   54.56   116.55   -51.67     1.17 S1)  ; 10
+      (
+        (   56.01   116.23   -50.22     1.17 S1)  ; 1, R-1-2-1
+        (   58.64   116.23   -47.90     1.17 S1)  ; 2
+        (
+          (   60.39   117.83   -45.88     0.88 S1)  ; 1, R-1-2-1-1
+          (   63.02   117.83   -44.65     0.88 S1)  ; 2
+          (   65.06   117.51   -42.80     0.88 S1)  ; 3
+          (   66.52   118.47   -38.57     0.88 S1)  ; 4
+          (   69.44   119.11   -37.60     0.88 S1)  ; 5
+          (   71.48   120.07   -36.97     0.88 S1)  ; 6
+          (   72.65   121.99   -35.45     0.88 S1)  ; 7
+          (   75.27   122.95   -34.32     0.88 S1)  ; 8
+          (   77.32   123.59   -37.45     0.88 S1)  ; 9
+          (   79.07   125.51   -33.33     0.88 S1)  ; 10
+          (   81.69   125.83   -31.63     0.88 S1)  ; 11
+          (   83.74   126.47   -30.47     0.88 S1)  ; 12
+          (   85.49   127.43   -29.62     0.88 S1)  ; 13
+          (   88.99   128.39   -29.27     0.88 S1)  ; 14
+          (   91.03   127.43   -28.92     0.88 S1)  ; 15
+          (   93.37   127.43   -31.85     0.88 S1)  ; 16
+          (   96.87   129.35   -31.52     0.88 S1)  ; 17
+          (   99.49   130.96   -33.07     0.88 S1)  ; 18
+          (  102.41   132.24   -33.67     0.88 S1)  ; 19
+          (  104.46   132.56   -35.85     0.88 S1)  ; 20
+          (  105.91   132.24   -39.50     0.88 S1)  ; 21
+          (  109.71   133.20   -41.42     0.88 S1)  ; 22
+          (  111.46   134.16   -41.88     0.88 S1)  ; 23
+          (  112.63   134.48   -41.10     0.58 S1)  ; 24
+          (  113.50   135.76   -41.20     0.58 S1)  ; 25
+          (  113.79   137.36   -41.70     0.58 S1)  ; 26
+          (  116.42   138.32   -41.88     0.58 S1)  ; 27
+          (  119.05   139.60   -43.40     0.58 S1)  ; 28
+          (  121.67   141.52   -46.57     0.58 S1)  ; 29
+          (  122.55   142.48   -47.70     0.58 S1)  ; 30
+          (  124.01   143.12   -47.75     0.58 S1)  ; 31
+          (  126.34   145.05   -48.15     0.58 S1)  ; 32
+          (  128.09   146.01   -44.32     0.58 S1)  ; 33
+          (  131.01   146.65   -42.67     0.58 S1)  ; 34
+          (  132.76   147.29   -42.17     0.58 S1)  ; 35
+          (  134.80   149.21   -42.08     0.58 S1)  ; 36
+          (  136.56   149.21   -41.82     0.58 S1)  ; 37
+          (  137.72   150.49   -43.62     0.58 S1)  ; 38
+          (  140.35   150.81   -44.17     0.58 S1)  ; 39
+          (  143.10   152.16   -41.30     0.58 S1)  ; 40
+          (  144.85   153.12   -40.30     0.58 S1)  ; 41
+          (  147.48   152.80   -41.93     0.58 S1)  ; 42
+          (  149.82   154.72   -42.95     0.58 S1)  ; 43
+          (  152.15   156.96   -44.63     0.58 S1)  ; 44
+          (  153.61   157.28   -46.67     0.58 S1)  ; 45
+          (  155.36   158.56   -47.47     0.58 S1)  ; 46
+          (  157.40   161.12   -48.00     0.58 S1)  ; 47
+          (  159.74   162.76   -45.00     0.58 S1)  ; 48
+          (  160.91   164.04   -44.00     0.29 S1)  ; 49
+          (  160.91   165.64   -41.57     0.29 S1)  ; 50
+          (  160.91   168.84   -40.50     0.29 S1)  ; 51
+          (  161.20   170.44   -39.63     0.29 S1)  ; 52
+          (  161.78   172.04   -37.92     0.29 S1)  ; 53
+          (  162.95   172.36   -35.97     0.29 S1)  ; 54
+           Normal
+        |
+          (   59.74   114.40   -45.40     0.88 S1)  ; 1, R-1-2-1-2
+          (   63.53   113.44   -44.92     0.88 S1)  ; 2
+          (   66.45   112.48   -43.82     0.88 S1)  ; 3
+          (   70.24   112.16   -41.90     0.88 S1)  ; 4
+          (   72.87   111.20   -41.52     0.88 S1)  ; 5
+          (   75.20   109.60   -41.17     0.88 S1)  ; 6
+          (   77.24   108.00   -39.58     0.88 S1)  ; 7
+          (   78.70   106.72   -37.95     0.88 S1)  ; 8
+          (   80.75   106.72   -37.67     0.88 S1)  ; 9
+          (   83.37   105.12   -37.25     0.88 S1)  ; 10
+          (   85.12   104.16   -37.05     0.88 S1)  ; 11
+          (   86.87   104.16   -36.92     0.88 S1)  ; 12
+          (   88.63   105.12   -36.88     0.88 S1)  ; 13
+          (   91.25   103.84   -36.72     0.88 S1)  ; 14
+          (   94.17   103.84   -36.30     0.88 S1)  ; 15
+          (   96.50   103.20   -34.88     0.88 S1)  ; 16
+          (   99.13   102.56   -34.75     0.88 S1)  ; 17
+          (  102.34   101.92   -34.75     0.88 S1)  ; 18
+          (  105.84   102.56   -34.60     0.88 S1)  ; 19
+          (  108.76   102.56   -34.60     0.88 S1)  ; 20
+          (  110.51   100.96   -34.58     0.88 S1)  ; 21
+          (  112.55   100.31   -34.42     0.88 S1)  ; 22
+          (  114.60    98.39   -34.42     0.88 S1)  ; 23
+          (  116.06    97.43   -33.53     0.88 S1)  ; 24
+          (  118.10    97.43   -33.83     0.88 S1)  ; 25
+          (  119.27    96.15   -34.58     0.88 S1)  ; 26
+          (  121.89    96.47   -35.30     0.88 S1)  ; 27
+          (  123.94    95.19   -36.52     0.88 S1)  ; 28
+          (  125.69    93.59   -38.00     0.88 S1)  ; 29
+          (  127.73    91.99   -39.47     0.88 S1)  ; 30
+          (  130.36    91.67   -40.17     0.88 S1)  ; 31
+          (  133.86    92.31   -43.53     0.58 S1)  ; 32
+          (  136.19    91.99   -42.80     0.58 S1)  ; 33
+          (  138.23    91.03   -40.97     0.58 S1)  ; 34
+          (  139.11    89.43   -40.25     0.58 S1)  ; 35
+          (  141.74    88.79   -39.42     0.58 S1)  ; 36
+          (  144.07    88.15   -37.92     0.58 S1)  ; 37
+          (  146.11    87.51   -37.22     0.58 S1)  ; 38
+          (  147.86    86.87   -36.27     0.58 S1)  ; 39
+          (  149.61    87.19   -36.15     0.58 S1)  ; 40
+          (  151.95    86.87   -35.92     0.58 S1)  ; 41
+          (  153.41    85.91   -35.85     0.58 S1)  ; 42
+          (  153.99    84.62   -34.17     0.58 S1)  ; 43
+          (  155.16    83.66   -32.28     0.58 S1)  ; 44
+          (  158.08    83.02   -31.98     0.58 S1)  ; 45
+          (  159.24    82.06   -32.70     0.58 S1)  ; 46
+          (  160.70    81.74   -35.80     0.58 S1)  ; 47
+          (  163.04    80.14   -37.65     0.58 S1)  ; 48
+          (  165.37    79.18   -38.07     0.58 S1)  ; 49
+          (  166.25    77.90   -38.40     0.58 S1)  ; 50
+          (  168.58    76.30   -38.47     0.58 S1)  ; 51
+          (  171.50    76.62   -38.63     0.58 S1)  ; 52
+          (  174.13    76.30   -35.63     0.58 S1)  ; 53
+          (  175.00    77.26   -34.15     0.58 S1)  ; 54
+          (  176.75    77.26   -32.05     0.58 S1)  ; 55
+          (  177.92    77.26   -30.75     0.58 S1)  ; 56
+          (  179.96    76.62   -30.52     0.58 S1)  ; 57
+          (  181.71    75.34   -29.80     0.58 S1)  ; 58
+          (  182.88    75.02   -28.30     0.58 S1)  ; 59
+          (  184.63    75.34   -26.45     0.58 S1)  ; 60
+          (  186.68    74.06   -26.28     0.58 S1)  ; 61
+          (  187.55    72.78   -25.47     0.58 S1)  ; 62
+          (  190.47    73.74   -25.27     0.58 S1)  ; 63
+          (  192.22    72.78   -25.10     0.58 S1)  ; 64
+          (  193.68    71.50   -24.90     0.58 S1)  ; 65
+          (  196.31    70.21   -28.47     0.58 S1)  ; 66
+          (  198.06    69.25   -28.17     0.58 S1)  ; 67
+          (  200.39    67.65   -28.10     0.58 S1)  ; 68
+           Normal
+        )  ;  End of split
+      |
+        (   55.74   114.08   -52.13     0.88 S1)  ; 1, R-1-2-2
+        (   56.61   111.20   -52.95     0.88 S1)  ; 2
+        (   58.66   108.96   -53.13     0.88 S1)  ; 3
+        (   59.53   106.08   -53.45     0.88 S1)  ; 4
+        (   60.41   103.20   -54.65     0.88 S1)  ; 5
+        (   62.45   101.60   -56.90     0.88 S1)  ; 6
+        (   64.20    99.99   -58.58     0.88 S1)  ; 7
+        (   66.24    98.39   -59.78     0.88 S1)  ; 8
+        (   68.58    97.75   -61.85     0.88 S1)  ; 9
+        (   69.45    95.83   -63.70     0.88 S1)  ; 10
+        (   70.62    93.27   -65.38     0.88 S1)  ; 11
+        (   71.50    91.67   -68.20     0.88 S1)  ; 12
+        (   72.96    88.79   -70.80     0.88 S1)  ; 13
+        (   74.12    86.23   -74.95     0.88 S1)  ; 14
+        (   75.29    85.26   -78.07     0.88 S1)  ; 15
+        (   75.58    82.38   -80.65     0.88 S1)  ; 16
+        (   76.75    80.14   -83.10     0.88 S1)  ; 17
+        (   77.62    77.90   -87.25     0.88 S1)  ; 18
+        (   80.25    75.34   -87.87     0.88 S1)  ; 19
+        (   82.59    73.42   -89.10     0.58 S1)  ; 20
+        (   85.50    71.18   -92.57     0.58 S1)  ; 21
+        (   88.13    69.25   -98.30     0.58 S1)  ; 22
+        (   89.88    67.01   -98.97     0.58 S1)  ; 23
+         Incomplete
+      )  ;  End of split
+    )  ;  End of split
+  |
+    (   30.73    68.55   -58.25     1.17 S1)  ; 1, R-2
+    (   28.10    68.87   -58.75     1.17 S1)  ; 2
+    (   26.35    68.55   -62.05     1.17 S1)  ; 3
+    (   23.14    68.23   -64.75     1.17 S1)  ; 4
+    (   20.22    68.55   -65.03     1.17 S1)  ; 5
+    (   17.89    69.83   -66.32     1.17 S1)  ; 6
+    (   15.85    70.47   -67.40     1.17 S1)  ; 7
+    (   13.69    70.79   -67.05     0.88 S1)  ; 8
+
+    (Cross
+      (Color Orange)
+      (Name "Marker 3")
+      (   25.77    69.83   -64.75     1.17 S1)  ; 1
+      (   25.48    67.59   -64.75     1.17 S1)  ; 2
+      (   13.80    72.71   -67.22     1.17 S1)  ; 3
+    )  ;  End of markers
+    (
+      (   13.10    71.75   -67.05     0.88 S1)  ; 1, R-2-1
+      (   11.35    72.71   -67.22     0.88 S1)  ; 2
+      (    9.31    73.35   -69.38     0.88 S1)  ; 3
+      (    5.52    74.31   -70.97     0.58 S1)  ; 4
+      (    2.60    75.91   -71.77     0.58 S1)  ; 5
+      (   -0.32    78.80   -72.32     0.58 S1)  ; 6
+      (   -3.53    80.40   -71.95     0.58 S1)  ; 7
+      (   -6.45    81.68   -73.65     0.58 S1)  ; 8
+      (   -9.37    81.68   -74.00     0.58 S1)  ; 9
+      (  -11.70    83.28   -75.10     0.58 S1)  ; 10
+      (  -14.62    85.52   -76.10     0.58 S1)  ; 11
+      (  -17.83    86.48   -78.05     0.58 S1)  ; 12
+      (  -20.16    86.80   -78.75     0.58 S1)  ; 13
+      (  -22.21    87.76   -80.02     0.58 S1)  ; 14
+      (  -24.83    89.68   -80.20     0.58 S1)  ; 15
+      (  -27.17    90.96   -81.53     0.58 S1)  ; 16
+      (  -29.21    91.93   -83.13     0.58 S1)  ; 17
+      (  -30.67    92.57   -83.93     0.58 S1)  ; 18
+      (  -32.71    93.21   -85.42     0.58 S1)  ; 19
+      (  -33.00    95.13   -86.15     0.58 S1)  ; 20
+      (  -34.75    96.41   -83.75     0.58 S1)  ; 21
+      (  -37.09    96.73   -86.80     0.58 S1)  ; 22
+      (  -39.13    99.61   -89.95     0.58 S1)  ; 23
+      (  -41.17    99.61   -91.27     0.58 S1)  ; 24
+      (  -42.63   100.57   -92.30     0.58 S1)  ; 25
+      (  -43.80   102.81   -96.45     0.58 S1)  ; 26
+      (  -45.84   103.77   -96.88     0.58 S1)  ; 27
+      (  -49.93   103.13   -99.67     0.58 S1)  ; 28
+      (  -52.26   104.41   -99.85     0.58 S1)  ; 29
+      (  -54.89   105.69  -101.22     0.58 S1)  ; 30
+
+      (Cross
+        (Color Orange)
+        (Name "Marker 3")
+        (  -10.24    80.40   -74.00     0.58 S1)  ; 1
+        (   -8.20    82.64   -74.00     0.58 S1)  ; 2
+        (   -7.03    80.40   -74.00     0.58 S1)  ; 3
+        (   -3.24    82.00   -74.00     0.58 S1)  ; 4
+        (  -12.58    84.88   -73.20     0.58 S1)  ; 5
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+        (  -23.37    87.76   -80.20     0.58 S1)  ; 7
+        (  -24.25    90.64   -80.70     0.58 S1)  ; 8
+        (  -28.92    92.89   -83.13     0.58 S1)  ; 9
+        (  -29.21    91.28   -83.90     0.58 S1)  ; 10
+        (  -43.80   103.77   -91.85     0.58 S1)  ; 11
+      )  ;  End of markers
+       High
+    |
+      (   11.35    72.07   -69.90     0.58 S1)  ; 1, R-2-2
+      (    8.43    72.71   -72.95     0.58 S1)  ; 2
+      (    7.56    75.27   -74.18     0.58 S1)  ; 3
+      (    6.98    76.23   -76.15     0.58 S1)  ; 4
+      (    5.81    77.84   -77.25     0.58 S1)  ; 5
+      (    3.18    77.20   -78.15     0.58 S1)  ; 6
+      (    0.56    77.52   -80.52     0.58 S1)  ; 7
+      (
+        (   -0.90    80.08   -81.65     0.58 S1)  ; 1, R-2-2-1
+        (   -2.65    80.40   -84.43     0.58 S1)  ; 2
+        (   -4.99    81.68   -89.05     0.58 S1)  ; 3
+        (   -5.86    82.96   -92.97     0.58 S1)  ; 4
+        (   -8.49    82.64   -95.13     0.58 S1)  ; 5
+        (  -11.12    83.92   -95.65     0.58 S1)  ; 6
+        (  -14.33    85.52  -100.13     0.58 S1)  ; 7
+        (  -14.91    87.44  -104.15     0.58 S1)  ; 8
+        (  -16.95    89.36  -106.20     0.58 S1)  ; 9
+
+        (Cross
+          (Color Orange)
+          (Name "Marker 3")
+          (    1.43    79.12   -81.65     0.58 S1)  ; 1
+        )  ;  End of markers
+         High
+      |
+        (   -1.78    75.91   -80.52     0.58 S1)  ; 1, R-2-2-2
+        (   -1.78    73.99   -82.63     0.58 S1)  ; 2
+        (   -3.53    72.39   -83.13     0.58 S1)  ; 3
+        (   -5.28    72.71   -87.30     0.58 S1)  ; 4
+        (   -7.32    72.39   -90.33     0.58 S1)  ; 5
+        (   -8.78    70.47   -92.15     0.58 S1)  ; 6
+        (  -11.41    70.15   -96.30     0.58 S1)  ; 7
+        (  -12.87    69.83   -99.38     0.58 S1)  ; 8
+        (  -13.74    68.55  -101.20     0.58 S1)  ; 9
+
+        (Cross
+          (Color RGB (0, 128, 192))
+          (Name "Marker 3")
+          (    0.56    75.91   -80.52     0.58 S1)  ; 1
+          (   -0.90    73.35   -82.63     0.58 S1)  ; 2
+          (   -2.65    75.27   -83.38     0.58 S1)  ; 3
+        )  ;  End of markers
+         High
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
diff --git a/docs/tutorial/01_opt_external_models/components/morphologies/cell2.asc b/docs/tutorial/01_opt_external_models/components/morphologies/cell2.asc
new file mode 100755
index 00000000..ad23035b
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/morphologies/cell2.asc
@@ -0,0 +1,9998 @@
+;	V3 text file written for MicroBrightField products.
+(ImageCoords)
+
+("CellBody"
+  (Color Orange)
+  (CellBody)
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+  (  456.14   119.24   -11.00     0.29)  ;  1, 2
+  (  455.27   117.98   -11.00     0.29)  ;  1, 3
+  (  455.27   116.40   -11.00     0.29)  ;  1, 4
+  (  454.98   115.45   -11.00     0.29)  ;  1, 5
+  (  453.23   113.87   -11.00     0.29)  ;  1, 6
+  (  451.77   111.98   -11.00     0.29)  ;  1, 7
+  (  450.31   108.82   -11.00     0.29)  ;  1, 8
+  (  449.43   105.97   -11.00     0.29)  ;  1, 9
+  (  448.56   103.13   -11.00     0.29)  ;  1, 10
+  (  449.14   102.18   -11.00     0.29)  ;  1, 11
+  (  450.60    99.97   -11.00     0.29)  ;  1, 12
+  (  452.64    98.70   -11.00     0.29)  ;  1, 13
+  (  456.44    98.39   -11.00     0.29)  ;  1, 14
+  (  461.40    97.76   -11.00     0.29)  ;  1, 15
+  (  465.77    97.76   -11.00     0.29)  ;  1, 16
+  (  467.82    98.39   -11.00     0.29)  ;  1, 17
+  (  469.86    99.97   -11.00     0.29)  ;  1, 18
+  (  470.44   102.50   -11.00     0.29)  ;  1, 19
+  (  469.86   103.76   -11.00     0.29)  ;  1, 20
+  (  468.69   105.02   -11.00     0.29)  ;  1, 21
+  (  467.53   108.82   -11.00     0.29)  ;  1, 22
+  (  466.07   112.29   -11.00     0.29)  ;  1, 23
+  (  464.90   115.45   -11.00     0.29)  ;  1, 24
+  (  464.02   117.03   -11.00     0.29)  ;  1, 25
+  (  463.44   119.56   -11.00     0.29)  ;  1, 26
+  (  462.56   120.51   -11.00     0.29)  ;  1, 27
+  (  460.52   120.82   -11.00     0.29)  ;  1, 28
+  (  459.65   120.82   -11.00     0.29)  ;  1, 29
+)  ;  End of contour
+
+( (Color DarkCyan)
+  (Axon)
+  (  463.12    97.74   -11.00     1.17)  ; Root
+  (  463.12    94.90   -13.72     1.75)  ; 1, R
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+  (  465.16    24.05    -3.57     0.88)  ; 21
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+  (  461.36   -17.41    -0.80     0.88)  ; 29
+  (
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+    (  470.38   -23.48     1.25     0.29)  ; 6
+
+    (Dot
+      (Color RGB (128, 255, 0))
+      (Name "Marker 1")
+      (  467.17   -23.48     0.55     0.29)  ; 1
+    )  ;  End of markers
+
+    (OpenCircle
+      (Color RGB (255, 0, 128))
+      (Name "Marker 2")
+      (  464.25   -22.85    -0.47     0.29)  ; 1
+    )  ;  End of markers
+    (
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+
+      (OpenCircle
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+        (Name "Marker 2")
+        (  474.78   -20.49    -7.15     0.29)  ; 1
+      )  ;  End of markers
+      (
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+        (  430.51    91.43   -74.70     0.29)  ; 51
+
+        (Dot
+          (Color RGB (128, 255, 0))
+          (Name "Marker 1")
+          (  473.32    -9.81   -34.80     0.29)  ; 1
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+          (  449.10    55.03   -64.63     0.29)  ; 4
+          (  442.68    71.78   -69.97     0.29)  ; 5
+        )  ;  End of markers
+
+        (OpenCircle
+          (Color RGB (255, 0, 128))
+          (Name "Marker 2")
+          (  475.95   -13.60   -21.25     0.29)  ; 1
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+          (  437.72    78.42   -71.28     0.29)  ; 12
+        )  ;  End of markers
+         Normal
+      |
+        (  481.20   -12.59   -13.00     0.29)  ; 1, R-1-1-2
+        (  481.49   -11.01   -13.15     0.29)  ; 2
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+
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+
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+
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+
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+           Incomplete
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+            (  508.07   143.61   -22.00     0.29)  ; 145
+            (  509.52   145.82   -22.47     0.29)  ; 146
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+            (  513.03   156.25   -28.27     0.29)  ; 153
+            (  514.78   157.83   -29.32     0.29)  ; 154
+            (  515.07   159.73   -30.97     0.29)  ; 155
+            (  516.24   160.36   -33.22     0.29)  ; 156
+            (  516.24   160.99   -33.25     0.29)  ; 157
+            (  515.65   161.62   -33.88     0.29)  ; 158
+            (  516.53   162.89   -33.95     0.29)  ; 159
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+            (  532.29   240.12   -80.90     0.29)  ; 194
+            (  532.58   242.96   -81.17     0.29)  ; 195
+            (  533.75   246.44   -81.43     0.29)  ; 196
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+            (  536.08   258.19   -82.87     0.29)  ; 200
+            (  537.83   261.04   -84.60     0.29)  ; 201
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+
+            (Dot
+              (Color DarkCyan)
+              (Name "Marker 1")
+              (  501.65  -146.54     0.65     0.29)  ; 1
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+              (  508.94   125.53   -14.23     0.29)  ; 27
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+              (  505.44   140.70   -20.60     0.29)  ; 29
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+              (  543.08   268.94   -90.50     0.29)  ; 36
+            )  ;  End of markers
+
+            (OpenCircle
+              (Color DarkCyan)
+              (Name "Marker 2")
+              (  503.69  -151.92    -2.67     0.29)  ; 1
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+              (  481.01  -113.62     7.17     0.29)  ; 3
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+              (  496.98     5.64    13.30     0.29)  ; 7
+              (  501.94    25.23     9.88     0.29)  ; 8
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+              (  510.40    52.16    10.65     0.29)  ; 10
+              (  510.40    60.06    11.22     0.29)  ; 11
+              (  509.52    67.33     1.88     0.29)  ; 12
+              (  511.28    77.44     0.00     0.29)  ; 13
+              (  510.98    79.65     0.00     0.29)  ; 14
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+              (  509.82   123.32   -12.88     0.29)  ; 18
+              (  512.15   154.99   -28.27     0.29)  ; 19
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+              (  518.57   172.43   -40.22     0.29)  ; 21
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+              (  546.29   273.68   -94.12     0.29)  ; 26
+            )  ;  End of markers
+             Normal
+          |
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+            (  509.26  -157.36    -4.17     0.29)  ; 3
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+            (  522.97  -160.52    -4.03     0.29)  ; 8
+            (  526.77  -162.74    -3.97     0.29)  ; 9
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+            (  534.06  -164.95    -3.60     0.29)  ; 12
+            (  536.60  -165.58    -2.85     0.29)  ; 13
+            (  537.19  -166.21    -0.60     0.29)  ; 14
+            (  538.64  -166.21     2.67     0.29)  ; 15
+            (  539.23  -167.16     2.75     0.29)  ; 16
+            (  540.69  -168.11     3.25     0.29)  ; 17
+            (  543.31  -169.06     3.95     0.29)  ; 18
+            (  543.61  -168.74     2.88     0.29)  ; 19
+            (  545.36  -168.74     2.08     0.29)  ; 20
+            (  547.40  -169.69    -0.77     0.29)  ; 21
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+            (  551.48  -171.58    -2.20     0.29)  ; 23
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+            (  611.80  -174.81    17.88     0.29)  ; 53
+            (  614.72  -173.23    17.92     0.29)  ; 54
+            (  617.06  -172.59    17.92     0.29)  ; 55
+
+            (Dot
+              (Color DarkCyan)
+              (Name "Marker 1")
+              (  506.92  -156.42    -4.17     0.29)  ; 1
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+              (  534.85  -165.26    -2.85     0.29)  ; 3
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+              (  612.97  -174.17    17.92     0.29)  ; 10
+              (  615.60  -172.91    17.92     0.29)  ; 11
+            )  ;  End of markers
+
+            (OpenCircle
+              (Color DarkCyan)
+              (Name "Marker 2")
+              (  510.43  -158.00    -4.15     0.29)  ; 1
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+              (  563.45  -174.43     2.60     0.29)  ; 4
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+              (  609.47  -174.49    17.88     0.29)  ; 9
+            )  ;  End of markers
+             Low
+          )  ;  End of split
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color DarkCyan)
+  (Dendrite)
+  (  464.90   108.18    -2.60     1.17)  ; Root
+  (  466.65   108.82    -2.60     1.46)  ; 1, R
+  (  468.11   109.13    -0.93     1.46)  ; 2
+  (  468.40   110.08     3.20     1.46)  ; 3
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+  (  468.40   112.92    13.42     1.46)  ; 6
+  (  470.44   112.61    15.90     1.46)  ; 7
+  (
+    (  471.03   113.87    16.70     0.88)  ; 1, R-1
+    (  472.49   115.45    16.85     0.88)  ; 2
+    (  474.82   116.72    16.90     0.88)  ; 3
+    (  475.70   117.98    16.92     0.88)  ; 4
+    (  476.28   119.88    16.98     0.88)  ; 5
+    (  476.28   123.04    17.05     0.88)  ; 6
+    (  476.57   124.93    17.42     0.88)  ; 7
+    (
+      (  475.40   127.46    19.25     0.88)  ; 1, R-1-1
+      (  475.40   129.67    19.33     0.88)  ; 2
+      (  474.82   132.20    19.58     0.88)  ; 3
+      (  472.78   134.10    19.82     0.88)  ; 4
+      (  472.19   135.68    20.15     0.88)  ; 5
+      (  470.73   136.94    20.90     0.88)  ; 6
+      (  469.86   139.47    21.75     1.46)  ; 7
+      (  470.15   142.63    22.43     1.46)  ; 8
+      (  469.57   145.79    23.63     1.46)  ; 9
+      (  468.11   148.00    24.90     1.17)  ; 10
+      (  466.94   149.58    26.25     1.17)  ; 11
+      (  466.65   151.16    26.35     1.17)  ; 12
+      (  465.48   153.69    26.45     1.17)  ; 13
+      (  464.61   154.95    26.55     1.17)  ; 14
+      (  463.15   155.90    26.63     1.17)  ; 15
+      (  461.69   159.06    27.20     1.17)  ; 16
+      (  460.81   161.27    27.45     1.17)  ; 17
+      (  460.52   164.12    27.88     1.17)  ; 18
+      (  460.23   166.33    28.63     1.17)  ; 19
+       Low
+    |
+      (  477.45   125.25    17.63     0.88)  ; 1, R-1-2
+      (  479.49   126.20    19.92     0.88)  ; 2
+      (  480.66   128.09    20.80     0.58)  ; 3
+      (  482.41   130.30    22.40     0.58)  ; 4
+      (  482.41   131.25    23.72     0.58)  ; 5
+      (  482.70   134.10    25.27     0.58)  ; 6
+      (  482.41   135.36    27.12     0.88)  ; 7
+      (  483.28   137.57    28.70     0.88)  ; 8
+      (  484.74   138.20    30.10     0.88)  ; 9
+      (  486.20   137.89    30.80     0.88)  ; 10
+      (  487.37   136.62    31.63     0.88)  ; 11
+       Low
+    )  ;  End of split
+  |
+    (  473.07   111.34    16.02     1.17)  ; 1, R-2
+    (  475.70   111.34    17.67     1.17)  ; 2
+    (  478.03   111.66    19.85     1.17)  ; 3
+    (  480.36   111.03    21.13     0.88)  ; 4
+    (  482.12   110.71    22.10     0.88)  ; 5
+    (  482.99   109.76    22.65     0.88)  ; 6
+    (  483.57   110.08    22.73     0.88)  ; 7
+    (  484.45   111.03    25.65     0.88)  ; 8
+    (  486.49   111.34    27.35     0.88)  ; 9
+    (  488.54   110.40    27.95     0.88)  ; 10
+    (  491.45   109.45    28.10     0.88)  ; 11
+    (  494.66   109.76    29.20     0.88)  ; 12
+    (  497.29   109.76    29.72     0.88)  ; 13
+    (  498.75   109.76    30.20     0.58)  ; 14
+    (  500.21   109.13    30.23     0.58)  ; 15
+    (  501.38   107.87    30.55     0.58)  ; 16
+    (  503.71   106.92    31.00     0.58)  ; 17
+    (  505.75   105.66    31.00     0.58)  ; 18
+    (  507.80   105.66    31.00     0.29)  ; 19
+    (  508.67   105.97    31.00     0.29)  ; 20
+    (  508.38   108.18    31.00     0.29)  ; 21
+    (  507.80   108.82    31.00     0.29)  ; 22
+    (  505.75   109.45    31.22     0.29)  ; 23
+    (  504.00   111.03    31.25     0.29)  ; 24
+     Low
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color RGB (100, 100, 100))
+  (Dendrite)
+  (  469.57   100.92   -11.00     0.29)  ; Root
+  (  470.73   100.28   -11.37     1.75)  ; 1, R
+  (
+    (  472.19   100.28    -6.97     1.17)  ; 1, R-1
+    (  474.82    99.02    -4.55     1.17)  ; 2
+    (  478.61    99.34    -2.27     1.17)  ; 3
+    (  482.70    99.02    -2.13     1.17)  ; 4
+    (  485.33    98.70    -1.67     1.17)  ; 5
+    (
+      (  487.66    99.34    -1.67     0.88)  ; 1, R-1-1
+      (  489.41    99.34    -0.12     0.88)  ; 2
+      (  489.70   100.28    -0.07     0.88)  ; 3
+      (  490.29   102.18     0.60     0.88)  ; 4
+      (  492.33   103.76     1.92     1.17)  ; 5
+      (  494.37   104.08     2.40     1.17)  ; 6
+      (  497.00   103.76     4.20     1.17)  ; 7
+      (  498.46   103.13     9.35     1.17)  ; 8
+      (
+        (  498.75   101.86    11.10     0.88)  ; 1, R-1-1-1
+        (  499.04   100.92    11.22     0.88)  ; 2
+        (  500.12   100.60    11.37     0.88)  ; 3
+        (  502.16   101.86    11.45     0.88)  ; 4
+        (  503.62   102.18    11.77     0.88)  ; 5
+        (  504.50   101.55    12.35     0.88)  ; 6
+        (  506.25    99.65    12.75     1.17)  ; 7
+        (  508.58    98.07    13.07     1.17)  ; 8
+        (  510.92    97.12    12.50     0.88)  ; 9
+        (  513.25    95.86    12.88     0.88)  ; 10
+        (  515.59    95.86    13.50     0.88)  ; 11
+        (  518.21    95.23    15.73     0.88)  ; 12
+        (  520.55    94.91    16.67     0.88)  ; 13
+        (  522.30    95.86    17.10     0.88)  ; 14
+        (  525.51    96.81    18.38     0.88)  ; 15
+        (  527.26    96.49    18.80     0.88)  ; 16
+        (  529.30    96.17    18.67     0.88)  ; 17
+        (  531.93    95.86    18.33     0.88)  ; 18
+        (  532.80    95.54    17.98     0.88)  ; 19
+        (  534.55    94.28    17.55     0.88)  ; 20
+        (  536.01    93.33    16.35     0.88)  ; 21
+        (  536.89    92.38    13.97     0.88)  ; 22
+        (  537.47    91.12    11.77     0.88)  ; 23
+        (  538.06    89.22     9.27     0.88)  ; 24
+        (  539.22    87.96     8.52     0.88)  ; 25
+        (  540.97    87.01     7.22     0.88)  ; 26
+        (  542.73    85.43     6.18     0.88)  ; 27
+        (  545.06    83.85     3.92     0.88)  ; 28
+        (  547.39    82.27     2.45     0.88)  ; 29
+        (  549.44    81.01     1.70     0.88)  ; 30
+        (  552.65    80.37     0.37     0.88)  ; 31
+        (  555.27    79.43    -0.88     0.88)  ; 32
+        (  558.19    78.16    -1.55     0.88)  ; 33
+        (  560.82    77.21    -1.77     0.88)  ; 34
+        (  561.69    76.90    -1.77     0.88)  ; 35
+        (  562.28    75.32    -1.80     0.88)  ; 36
+        (  563.15    73.74    -2.10     0.88)  ; 37
+        (  563.65    73.68    -2.10     0.88)  ; 38
+        (  564.82    74.31    -2.25     0.88)  ; 39
+        (  566.28    75.89    -2.38     0.88)  ; 40
+        (  568.03    75.89    -2.67     1.17)  ; 41
+        (  570.36    75.26    -3.00     1.17)  ; 42
+        (  572.70    73.68    -3.27     1.17)  ; 43
+        (  574.15    71.78    -3.60     1.17)  ; 44
+        (  575.32    70.20    -3.75     1.17)  ; 45
+        (  577.66    68.62    -4.00     1.17)  ; 46
+        (  579.70    68.30    -4.40     1.17)  ; 47
+        (  581.16    67.67    -3.27     1.17)  ; 48
+        (  582.32    65.78    -2.00     1.17)  ; 49
+        (  583.20    63.88    -1.20     1.17)  ; 50
+        (  585.53    60.72    -0.80     1.17)  ; 51
+        (  586.99    58.82    -0.63     1.17)  ; 52
+        (  588.74    57.88    -0.45     1.17)  ; 53
+        (  591.37    58.19     0.00     1.17)  ; 54
+        (  593.71    58.51     0.32     1.17)  ; 55
+        (  595.46    57.24     0.67     1.17)  ; 56
+        (  598.08    55.66     0.82     1.17)  ; 57
+        (  599.54    54.08     1.70     1.17)  ; 58
+        (  601.88    54.08     1.92     1.17)  ; 59
+        (  604.21    54.40     2.38     1.17)  ; 60
+        (  606.55    53.77     3.67     1.17)  ; 61
+        (  608.88    53.14     5.53     1.17)  ; 62
+        (  610.63    52.50     6.88     1.17)  ; 63
+        (  612.38    52.82     8.18     0.88)  ; 64
+        (  613.84    53.14     9.00     0.88)  ; 65
+        (  614.42    51.87     9.27     0.88)  ; 66
+        (  616.47    50.61     9.52     0.88)  ; 67
+        (  617.63    49.34     9.65     0.88)  ; 68
+        (  619.39    47.76    10.28     0.88)  ; 69
+        (  621.43    46.50    10.95     0.88)  ; 70
+        (  623.18    46.50    11.32     0.88)  ; 71
+        (  624.64    45.55    11.63     0.88)  ; 72
+        (  625.81    44.60    11.90     0.88)  ; 73
+        (  626.97    42.71    12.35     0.88)  ; 74
+        (  628.14    40.43    13.30     0.88)  ; 75
+        (  629.60    38.85    13.60     0.88)  ; 76
+        (  631.93    36.96    14.13     0.88)  ; 77
+        (  633.98    37.27    14.40     0.88)  ; 78
+        (  635.73    36.96    14.40     0.58)  ; 79
+        (  636.89    36.32    14.63     0.58)  ; 80
+        (  638.35    33.80    14.82     0.58)  ; 81
+        (  637.77    32.22    15.20     0.58)  ; 82
+        (  639.52    30.64    15.35     0.58)  ; 83
+        (  640.69    28.74    15.57     0.58)  ; 84
+        (  641.86    27.48    15.12     0.58)  ; 85
+        (  643.90    26.53    13.75     0.58)  ; 86
+        (  645.36    25.26    10.22     0.58)  ; 87
+        (  647.11    24.00     7.97     0.58)  ; 88
+        (  649.06    22.74     6.67     0.58)  ; 89
+        (  651.69    21.79     5.77     0.58)  ; 90
+        (  653.73    21.16     3.45     0.58)  ; 91
+        (  654.32    20.21     1.15     0.58)  ; 92
+        (  655.77    18.31    -0.05     0.58)  ; 93
+        (  657.23    16.10    -0.75     0.58)  ; 94
+        (  658.69    13.89    -1.15     0.58)  ; 95
+        (  660.74    12.94    -1.75     0.58)  ; 96
+        (  662.78    12.31    -2.85     0.58)  ; 97
+        (  665.11    11.04    -4.27     0.29)  ; 98
+        (  667.74    11.04    -5.82     0.29)  ; 99
+         Normal
+      |
+        (  498.76   103.86     9.80     0.88)  ; 1, R-1-1-2
+        (  500.22   104.81    11.68     0.88)  ; 2
+        (  503.43   105.12    13.50     0.88)  ; 3
+        (  506.64   104.18    13.92     0.88)  ; 4
+        (  509.27   102.91    14.05     0.88)  ; 5
+        (  512.19   101.33    14.30     0.88)  ; 6
+        (  514.52   101.33    14.40     0.88)  ; 7
+        (  516.56   101.96    14.48     0.88)  ; 8
+        (
+          (  518.60   104.18    13.87     0.58)  ; 1, R-1-1-2-1
+          (  519.48   105.76    13.47     0.58)  ; 2
+          (  520.36   107.34    13.40     0.88)  ; 3
+          (  521.52   109.86    13.18     0.88)  ; 4
+          (  522.11   110.18    13.07     0.88)  ; 5
+          (  523.86   110.81    13.00     0.88)  ; 6
+          (  525.61   110.50    11.58     0.88)  ; 7
+          (  527.65   110.50     8.07     0.88)  ; 8
+          (  529.69   111.13     6.47     0.58)  ; 9
+          (  530.28   113.34     6.25     0.58)  ; 10
+          (  531.44   115.55     5.70     0.58)  ; 11
+          (  532.61   117.13     5.68     1.17)  ; 12
+          (  535.53   117.76     5.20     1.17)  ; 13
+          (  538.74   117.76     4.65     1.17)  ; 14
+          (  540.49   119.34     4.50     0.88)  ; 15
+          (  541.07   120.61     4.13     0.88)  ; 16
+          (  542.83   121.24     3.70     0.88)  ; 17
+          (  544.58   120.92     2.20     0.88)  ; 18
+          (  545.74   121.56     2.20     0.88)  ; 19
+          (  546.62   123.14     0.90     0.88)  ; 20
+          (  546.91   125.03     0.10     0.88)  ; 21
+          (  547.79   126.93    -0.25     0.88)  ; 22
+          (  549.54   128.82    -0.40     0.88)  ; 23
+          (  551.00   130.40    -1.75     0.88)  ; 24
+          (  552.46   131.04    -2.55     0.88)  ; 25
+          (  555.37   131.04    -2.70     0.88)  ; 26
+          (  557.42   131.67    -4.45     0.88)  ; 27
+          (  558.88   132.62    -6.78     0.88)  ; 28
+          (  559.46   134.20    -9.40     0.88)  ; 29
+          (  559.46   135.78   -10.45     0.88)  ; 30
+          (  560.33   137.67   -12.40     0.58)  ; 31
+          (  562.09   139.57   -14.10     0.58)  ; 32
+          (  565.00   139.88   -14.92     0.88)  ; 33
+          (  566.75   140.52   -16.30     0.88)  ; 34
+          (  566.46   141.78   -16.47     0.88)  ; 35
+          (  566.46   144.31   -17.32     0.88)  ; 36
+          (  566.75   145.89   -17.77     0.88)  ; 37
+          (  567.63   148.10   -18.67     0.88)  ; 38
+          (  568.21   151.58   -19.05     0.88)  ; 39
+          (  568.80   154.42   -19.82     0.88)  ; 40
+          (  569.67   156.95   -21.13     0.88)  ; 41
+          (  570.84   157.58   -24.10     0.88)  ; 42
+          (  572.30   158.21   -28.77     0.88)  ; 43
+          (  574.34   159.16   -28.05     0.88)  ; 44
+          (  575.22   160.42   -29.90     0.88)  ; 45
+          (  576.38   161.69   -33.13     0.88)  ; 46
+          (  577.84   162.00   -35.45     0.88)  ; 47
+          (  579.59   162.00   -37.45     0.58)  ; 48
+          (  581.05   163.90   -37.80     0.58)  ; 49
+          (  583.39   165.48   -33.85     0.58)  ; 50
+          (  586.01   166.43   -31.63     0.58)  ; 51
+          (  588.93   167.38   -29.70     0.58)  ; 52
+          (  591.27   168.32   -28.42     0.29)  ; 53
+          (  593.02   169.59   -27.50     0.29)  ; 54
+          (  595.35   170.54   -26.63     0.29)  ; 55
+           Normal
+        |
+          (  518.60   101.65    14.48     0.88)  ; 1, R-1-1-2-2
+          (  520.65   101.65    15.25     0.88)  ; 2
+          (  522.11   102.60    18.52     0.88)  ; 3
+          (  523.57   103.54    19.60     0.88)  ; 4
+          (  525.32   103.86    19.88     0.88)  ; 5
+          (  527.36   104.18    20.87     0.58)  ; 6
+          (  529.11   103.86    22.27     0.58)  ; 7
+          (  531.44   102.60    23.35     0.58)  ; 8
+          (  533.49   102.28    24.58     0.58)  ; 9
+          (  534.36   102.60    24.70     0.58)  ; 10
+          (  535.82   103.23    25.90     0.58)  ; 11
+          (  537.28   102.60    26.80     0.29)  ; 12
+          (  537.28   101.02    27.45     0.29)  ; 13
+          (  537.86    98.80    28.50     0.29)  ; 14
+           Low
+        )  ;  End of split
+      )  ;  End of split
+    |
+      (  486.21    96.59    -1.60     0.58)  ; 1, R-1-2
+      (  487.96    95.01    -1.20     0.58)  ; 2
+      (  490.01    94.06    -0.90     0.58)  ; 3
+      (  491.47    92.80     1.02     0.58)  ; 4
+      (  492.63    91.85     3.17     0.58)  ; 5
+      (  492.34    91.22     4.32     0.58)  ; 6
+      (  491.17    91.53     5.07     0.58)  ; 7
+      (  492.05    92.80     6.93     0.58)  ; 8
+      (  492.63    93.43     9.07     0.88)  ; 9
+      (  494.97    92.80     9.52     0.88)  ; 10
+      (  497.59    91.85    10.12     0.88)  ; 11
+      (  500.22    90.59    10.95     0.88)  ; 12
+      (  501.68    89.64    10.95     0.88)  ; 13
+      (  503.43    88.69     9.52     0.88)  ; 14
+      (  504.60    88.37     5.30     0.88)  ; 15
+      (  506.06    88.37     1.10     0.88)  ; 16
+      (  508.68    88.06    -1.70     0.88)  ; 17
+      (  510.73    88.37    -4.07     0.88)  ; 18
+      (  511.89    88.06    -4.20     0.88)  ; 19
+      (
+        (  514.52    88.37    -4.75     0.58)  ; 1, R-1-2-1
+        (  516.85    89.01    -6.50     0.58)  ; 2
+        (  518.60    89.01    -6.57     0.58)  ; 3
+        (  520.36    87.74    -6.80     0.58)  ; 4
+        (  522.11    85.85    -7.00     0.58)  ; 5
+        (  524.73    85.85    -7.10     0.58)  ; 6
+        (  527.07    84.90    -8.10     0.58)  ; 7
+        (  529.69    84.27    -9.40     0.58)  ; 8
+        (  532.32    83.63   -10.90     0.58)  ; 9
+        (  535.82    83.95   -11.02     0.58)  ; 10
+        (  538.74    83.95   -11.17     0.58)  ; 11
+        (  541.07    83.63   -11.80     0.58)  ; 12
+        (  543.70    83.00   -12.85     0.58)  ; 13
+        (  545.45    84.27   -12.85     0.58)  ; 14
+        (  547.79    85.21   -13.00     0.58)  ; 15
+        (  551.29    85.85   -13.07     0.58)  ; 16
+        (  552.75    87.11   -13.32     0.58)  ; 17
+        (  554.21    88.06   -13.65     0.58)  ; 18
+        (  554.21    89.32   -13.67     0.58)  ; 19
+        (  554.21    90.90   -13.27     0.58)  ; 20
+        (  555.67    91.85   -12.65     0.58)  ; 21
+        (  558.00    92.80    -9.82     0.58)  ; 22
+        (  559.46    93.43    -6.00     0.58)  ; 23
+        (  561.21    94.38    -4.72     0.58)  ; 24
+        (  561.21    95.01    -3.17     0.58)  ; 25
+        (  562.96    96.27    -2.00     0.58)  ; 26
+        (  563.84    96.27     0.25     0.58)  ; 27
+        (  564.42    95.33     0.80     0.58)  ; 28
+        (  564.71    94.69     3.05     0.58)  ; 29
+        (  567.05    94.69     4.07     0.58)  ; 30
+        (  569.09    95.64     4.38     0.58)  ; 31
+        (  571.42    96.59     4.55     0.58)  ; 32
+        (  575.22    97.54     4.75     0.58)  ; 33
+        (  576.97    97.86     5.27     0.58)  ; 34
+        (  579.89    98.80     5.88     0.58)  ; 35
+        (  580.67   100.07     5.57     0.58)  ; 36
+        (  581.55   101.96     5.72     0.58)  ; 37
+        (  584.18   103.23     5.95     0.58)  ; 38
+        (  587.09   103.54     6.05     0.58)  ; 39
+        (  588.26   102.28     6.47     0.58)  ; 40
+        (  589.43   102.60     6.67     0.58)  ; 41
+        (  590.01   103.23     6.80     0.58)  ; 42
+        (  590.60   104.49     6.88     0.58)  ; 43
+        (  592.05   105.44     7.53     0.58)  ; 44
+        (  593.51   104.49     8.42     0.58)  ; 45
+        (  594.68   105.12     8.47     0.58)  ; 46
+        (  596.43   106.39     9.40     0.58)  ; 47
+        (  599.06   106.70    10.20     0.58)  ; 48
+        (  602.27   107.02    10.90     0.58)  ; 49
+        (  603.73   107.65    10.95     0.58)  ; 50
+        (  604.89   109.23     9.52     0.58)  ; 51
+        (  605.48   110.50     5.53     0.58)  ; 52
+        (  605.19   112.08     3.65     0.58)  ; 53
+        (  605.19   113.97     1.13     0.58)  ; 54
+        (  604.02   116.18    -1.00     0.58)  ; 55
+        (  602.85   118.71    -2.22     0.58)  ; 56
+        (  602.56   120.29    -2.73     0.58)  ; 57
+        (  602.27   122.19    -3.08     0.29)  ; 58
+        (  603.14   123.45    -3.35     0.29)  ; 59
+         Normal
+      |
+        (  512.47    86.94    -4.52     0.88)  ; 1, R-1-2-2
+        (  514.52    84.73    -4.27     0.88)  ; 2
+        (  516.85    82.52    -3.85     0.88)  ; 3
+        (  518.60    81.57    -3.22     0.88)  ; 4
+        (  520.94    80.94    -2.45     0.88)  ; 5
+        (  522.69    79.67    -1.70     0.88)  ; 6
+        (  525.02    78.41    -0.40     0.88)  ; 7
+        (  526.77    77.14     0.20     0.88)  ; 8
+        (  527.94    75.88     0.37     0.88)  ; 9
+        (  528.81    75.25     0.52     0.88)  ; 10
+        (  529.98    75.56     0.72     0.88)  ; 11
+        (  531.44    76.51     0.90     0.88)  ; 12
+        (  533.78    76.51     1.05     0.88)  ; 13
+        (  536.11    75.88     1.38     0.88)  ; 14
+        (  537.57    75.25     1.40     0.88)  ; 15
+        (  538.15    74.30     1.58     0.88)  ; 16
+        (  538.44    72.72     1.85     0.88)  ; 17
+        (  539.03    70.82     1.97     0.88)  ; 18
+        (  540.78    69.24     2.15     0.88)  ; 19
+        (  543.11    67.66     2.67     0.88)  ; 20
+        (  546.32    66.72     2.88     0.88)  ; 21
+        (  549.24    65.14     3.00     0.88)  ; 22
+        (  550.41    63.56     2.65     0.88)  ; 23
+        (  552.16    62.61     1.22     0.88)  ; 24
+        (  553.91    61.03     0.55     0.88)  ; 25
+        (  555.95    60.71    -1.60     0.88)  ; 26
+        (  558.29    59.76    -4.10     0.88)  ; 27
+        (  561.50    58.82    -5.17     0.88)  ; 28
+        (  562.96    58.50    -5.50     0.88)  ; 29
+        (  565.29    57.87    -5.65     0.88)  ; 30
+        (  566.17    56.60    -5.77     0.88)  ; 31
+        (  566.58    54.71    -5.65     0.88)  ; 32
+        (  567.16    53.13    -5.45     0.88)  ; 33
+        (  568.91    51.23    -5.40     0.88)  ; 34
+        (  570.37    49.34    -4.47     0.88)  ; 35
+        (  571.83    47.76    -4.27     0.88)  ; 36
+        (  573.58    46.18    -3.97     0.88)  ; 37
+        (  575.91    45.23    -3.40     0.88)  ; 38
+        (  578.83    43.96    -3.00     0.88)  ; 39
+        (  581.46    42.70    -2.73     0.88)  ; 40
+        (  583.79    41.75    -2.45     0.58)  ; 41
+        (  585.25    40.80    -2.38     0.58)  ; 42
+        (  585.83    39.86    -2.53     0.58)  ; 43
+        (  586.42    38.28    -3.75     0.58)  ; 44
+        (  588.17    37.01    -5.00     0.58)  ; 45
+        (  589.92    36.06    -5.42     0.58)  ; 46
+        (  591.96    35.12    -5.90     0.58)  ; 47
+        (  592.84    33.22    -6.85     0.58)  ; 48
+        (  594.88    31.96    -7.43     0.58)  ; 49
+        (  595.76    31.64    -7.35     0.58)  ; 50
+        (  597.51    32.27    -6.90     0.58)  ; 51
+        (  599.84    32.59    -6.18     0.58)  ; 52
+        (  601.59    32.27    -7.25     0.58)  ; 53
+        (  603.93    31.01    -6.85     0.58)  ; 54
+        (  606.55    28.80    -6.42     0.58)  ; 55
+        (  609.47    27.53    -5.55     0.58)  ; 56
+        (  611.51    26.90    -2.57     0.58)  ; 57
+        (  612.97    26.27    -2.15     0.29)  ; 58
+        (  613.85    24.37    -1.75     0.29)  ; 59
+        (  614.72    22.79    -1.20     0.29)  ; 60
+        (  613.85    22.16    -1.07     0.29)  ; 61
+         Normal
+      )  ;  End of split
+    )  ;  End of split
+  |
+    (  470.35    99.36   -11.68     1.17)  ; 1, R-2
+    (  470.93    97.78   -12.27     1.17)  ; 2
+    (  472.69    96.20   -13.70     1.17)  ; 3
+    (  473.85    94.93   -14.55     1.17)  ; 4
+    (  475.90    94.30   -15.45     1.17)  ; 5
+    (  477.35    94.30   -15.45     1.17)  ; 6
+    (  480.27    93.98   -17.23     1.17)  ; 7
+    (  482.02    93.67   -18.70     1.17)  ; 8
+    (  483.77    92.40   -19.07     1.17)  ; 9
+    (  485.23    91.14   -20.13     1.17)  ; 10
+    (  486.69    89.88   -20.77     1.17)  ; 11
+
+    (Cross
+      (Color RGB (100, 100, 100))
+      (Name "Marker 3")
+      (  472.10    98.72   -13.70     1.17)  ; 1
+      (  469.48    98.09   -13.70     1.17)  ; 2
+      (  472.69    94.93   -14.55     1.17)  ; 3
+      (  475.90    95.56   -15.45     1.17)  ; 4
+      (  479.69    92.72   -17.23     1.17)  ; 5
+      (  487.28    91.77   -20.77     1.17)  ; 6
+    )  ;  End of markers
+    (
+      (  489.03    89.24   -21.32     0.88)  ; 1, R-2-1
+      (  490.49    88.30   -22.60     0.88)  ; 2
+      (  492.24    87.98   -23.30     0.88)  ; 3
+      (  493.70    89.56   -23.45     0.88)  ; 4
+      (  495.16    90.82   -23.92     0.88)  ; 5
+      (  496.53    93.04   -24.52     0.88)  ; 6
+      (  498.86    93.98   -26.30     0.88)  ; 7
+      (  500.90    94.30   -28.05     0.88)  ; 8
+      (
+        (  502.36    94.93   -30.13     0.88)  ; 1, R-2-1-1
+        (  503.53    94.93   -31.72     0.88)  ; 2
+        (
+          (  504.99    93.98   -33.92     0.88)  ; 1, R-2-1-1-1
+          (  507.91    94.62   -36.17     0.88)  ; 2
+          (  510.83    95.25   -37.72     0.88)  ; 3
+          (  512.58    96.83   -38.80     0.88)  ; 4
+          (  514.33    97.78   -40.85     0.58)  ; 5
+          (  514.91    99.04   -42.70     0.58)  ; 6
+          (  514.04    99.36   -43.92     0.58)  ; 7
+          (  514.33   100.30   -47.00     0.58)  ; 8
+          (  514.62   100.94   -47.05     0.58)  ; 9
+          (  516.37   101.88   -48.02     0.58)  ; 10
+          (  518.12   102.20   -50.97     0.58)  ; 11
+          (  518.12   103.46   -53.75     0.58)  ; 12
+          (  519.29   103.78   -55.63     0.58)  ; 13
+          (  521.04   104.10   -56.15     0.58)  ; 14
+          (  522.79   105.36   -56.72     0.58)  ; 15
+          (  524.54   107.57   -58.85     0.58)  ; 16
+          (  524.54   108.52   -61.42     0.58)  ; 17
+          (  526.00   110.42   -64.07     0.58)  ; 18
+          (  526.29   111.68   -67.65     0.58)  ; 19
+          (  526.29   112.63   -69.97     0.58)  ; 20
+          (  527.17   113.26   -71.72     0.58)  ; 21
+          (  527.75   113.26   -71.72     0.58)  ; 22
+          (  529.21   114.52   -74.27     0.58)  ; 23
+          (  530.67   115.16   -77.03     0.58)  ; 24
+          (  532.13   114.84   -79.95     0.58)  ; 25
+          (  533.00   115.79   -80.22     0.58)  ; 26
+          (  535.05   117.05   -82.05     0.58)  ; 27
+          (  537.38   118.32   -84.55     0.58)  ; 28
+          (  539.72   119.26   -86.72     0.58)  ; 29
+          (  542.05   120.21   -89.95     0.58)  ; 30
+          (  543.51   121.16   -93.07     0.58)  ; 31
+          (  543.80   122.42   -97.28     0.58)  ; 32
+          (  545.55   123.69  -100.30     0.58)  ; 33
+          (  547.30   124.00  -106.57     0.58)  ; 34
+          (  549.93   124.00  -108.30     0.58)  ; 35
+          (  552.85   123.06  -110.65     0.58)  ; 36
+          (  556.06   122.74  -113.50     0.58)  ; 37
+          (  559.27   121.48  -114.57     0.58)  ; 38
+          (  563.35   121.48  -115.97     0.58)  ; 39
+          (  565.40   122.11  -116.72     0.58)  ; 40
+          (  568.60   124.00  -117.05     0.58)  ; 41
+          (  570.65   125.90  -120.13     0.58)  ; 42
+          (  572.11   128.43  -121.60     0.58)  ; 43
+          (  572.69   130.96  -122.78     0.58)  ; 44
+          (  574.73   132.85  -124.43     0.58)  ; 45
+          (  577.36   134.75  -126.60     0.58)  ; 46
+          (  579.99   136.64  -129.22     0.58)  ; 47
+          (  582.90   138.54  -132.60     0.58)  ; 48
+          (  585.53   140.12  -136.93     0.58)  ; 49
+          (  589.03   141.07  -140.15     0.58)  ; 50
+          (  592.45   142.96  -142.32     0.58)  ; 51
+          (  595.66   143.91  -146.22     0.58)  ; 52
+          (  599.74   144.54  -148.43     0.58)  ; 53
+          (  604.12   145.81  -150.13     0.58)  ; 54
+          (  605.87   146.12  -151.85     0.58)  ; 55
+          (  608.20   146.44  -153.02     0.58)  ; 56
+          (  612.29   147.07  -154.17     0.58)  ; 57
+          (  615.50   147.07  -156.52     0.58)  ; 58
+          (  619.88   147.70  -158.67     0.58)  ; 59
+           Incomplete
+        |
+          (  504.99    93.67   -31.67     0.88)  ; 1, R-2-1-1-2
+          (  507.91    93.67   -30.80     0.88)  ; 2
+          (  509.66    93.04   -29.92     0.88)  ; 3
+          (  511.41    92.40   -29.32     0.88)  ; 4
+          (  512.87    92.09   -29.13     0.88)  ; 5
+          (  514.04    92.72   -28.92     0.88)  ; 6
+          (  516.95    92.40   -28.80     0.88)  ; 7
+          (  519.58    92.40   -28.65     0.88)  ; 8
+          (  521.62    93.35   -28.65     0.88)  ; 9
+          (  523.96    93.67   -28.45     0.88)  ; 10
+          (  526.58    93.04   -28.25     0.88)  ; 11
+          (  527.75    92.40   -28.02     0.88)  ; 12
+          (  529.21    93.04   -28.02     0.88)  ; 13
+          (  530.38    94.30   -27.85     0.88)  ; 14
+          (  532.42    94.30   -26.98     0.88)  ; 15
+          (  534.75    93.67   -26.60     0.88)  ; 16
+          (  537.38    93.04   -26.40     0.88)  ; 17
+          (  539.72    92.40   -26.10     0.88)  ; 18
+          (  542.63    92.40   -26.55     0.88)  ; 19
+          (  544.68    92.09   -27.55     0.88)  ; 20
+          (  546.72    92.09   -30.42     0.88)  ; 21
+          (  548.76    91.46   -32.25     0.88)  ; 22
+          (  550.51    92.09   -33.85     0.88)  ; 23
+          (  552.56    92.72   -35.53     0.88)  ; 24
+          (  554.31    93.04   -36.15     0.88)  ; 25
+          (  556.64    93.04   -36.63     0.88)  ; 26
+          (  558.98    92.40   -36.97     0.88)  ; 27
+          (  561.43    93.04   -37.10     0.88)  ; 28
+          (  564.05    93.35   -37.22     0.88)  ; 29
+          (  566.68    93.67   -37.42     0.88)  ; 30
+          (  570.18    94.62   -38.33     0.88)  ; 31
+          (  571.93    95.88   -38.97     0.88)  ; 32
+          (  574.27    95.88   -39.90     0.88)  ; 33
+          (  576.02    96.20   -40.40     0.88)  ; 34
+          (  578.94    96.20   -37.28     0.88)  ; 35
+          (  580.98    96.20   -33.90     0.88)  ; 36
+          (  583.90    96.20   -31.10     0.58)  ; 37
+          (  586.23    96.83   -29.67     0.58)  ; 38
+          (  589.15    97.46   -28.80     0.58)  ; 39
+          (  591.48    97.78   -26.90     0.58)  ; 40
+          (  592.36    98.72   -26.42     0.58)  ; 41
+          (  592.94    99.99   -25.03     0.58)  ; 42
+          (  594.11   100.94   -24.75     0.58)  ; 43
+          (  595.28   100.30   -24.55     0.58)  ; 44
+          (  597.03    98.72   -24.32     0.58)  ; 45
+          (  598.78    97.78   -24.02     0.58)  ; 46
+          (  601.11    97.78   -23.85     0.58)  ; 47
+          (  604.91    98.72   -23.70     0.58)  ; 48
+          (  606.95   100.30   -23.57     0.58)  ; 49
+          (  609.58   101.25   -23.57     0.58)  ; 50
+          (  611.33   101.57   -23.52     0.58)  ; 51
+          (  613.37   101.25   -23.37     0.58)  ; 52
+          (  615.70   100.62   -23.50     0.58)  ; 53
+          (  618.04   100.94   -24.77     0.58)  ; 54
+          (  620.87   101.88   -25.42     0.58)  ; 55
+          (  623.50   102.52   -26.67     0.58)  ; 56
+          (  626.12   102.83   -27.77     0.58)  ; 57
+          (  627.87   102.52   -28.33     0.29)  ; 58
+          (  629.92   102.52   -29.85     0.29)  ; 59
+          (  631.08   102.83   -31.45     0.29)  ; 60
+          (  631.96   102.83   -34.20     0.29)  ; 61
+          (  634.58   102.83   -35.70     0.29)  ; 62
+          (  636.34   102.83   -34.30     0.29)  ; 63
+          (  638.38   102.83   -32.15     0.29)  ; 64
+          (  639.55   103.78   -31.80     0.29)  ; 65
+          (  639.84   104.73   -31.52     0.29)  ; 66
+          (  640.71   105.04   -31.40     0.29)  ; 67
+          (  641.88   104.41   -31.10     0.58)  ; 68
+          (  643.05   103.15   -30.85     0.58)  ; 69
+          (  643.34   101.57   -30.40     0.58)  ; 70
+          (  644.21   100.62   -29.77     0.58)  ; 71
+          (  646.84   100.30   -29.25     0.58)  ; 72
+          (  648.88   100.30   -28.85     0.58)  ; 73
+          (  650.34   100.94   -31.15     0.58)  ; 74
+          (  652.39   101.25   -34.70     0.58)  ; 75
+          (  653.26   102.20   -35.05     0.29)  ; 76
+          (  655.01   102.52   -35.30     0.29)  ; 77
+          (  658.22   102.20   -35.80     0.29)  ; 78
+          (  661.14   102.52   -36.42     0.29)  ; 79
+          (  663.18   102.52   -36.58     0.29)  ; 80
+          (  666.68   102.20   -36.80     0.29)  ; 81
+          (  669.31   102.52   -37.13     0.29)  ; 82
+          (  670.48   102.83   -37.28     0.29)  ; 83
+          (  672.81   103.78   -37.45     0.29)  ; 84
+          (  675.44   104.73   -37.55     0.29)  ; 85
+          (  676.90   104.41   -37.72     0.29)  ; 86
+          (  679.52   103.46   -37.83     0.29)  ; 87
+          (  681.86   102.52   -38.10     0.29)  ; 88
+          (  684.48   100.94   -38.63     0.29)  ; 89
+          (  688.28    99.99   -39.13     0.29)  ; 90
+          (  690.32    98.72   -39.52     0.29)  ; 91
+          (  691.49    98.09   -38.72     0.29)  ; 92
+          (  693.24    97.78   -36.00     0.29)  ; 93
+          (  694.70    98.09   -34.65     0.29)  ; 94
+          (  695.87    97.46   -34.63     0.29)  ; 95
+          (  698.78    95.56   -33.97     0.29)  ; 96
+          (  700.24    93.98   -35.90     0.29)  ; 97
+          (  701.41    93.35   -37.70     0.29)  ; 98
+          (  702.29    91.77   -39.22     0.29)  ; 99
+          (  702.29    89.88   -39.45     0.29)  ; 100
+          (  703.45    87.98   -39.63     0.29)  ; 101
+           Normal
+        )  ;  End of split
+      |
+        (  501.98    93.35   -29.82     0.58)  ; 1, R-2-1-2
+        (  503.73    91.14   -31.32     0.58)  ; 2
+        (  505.19    89.56   -31.92     0.58)  ; 3
+        (  507.24    88.30   -32.72     0.58)  ; 4
+        (  507.82    87.35   -32.72     0.58)  ; 5
+        (  509.86    86.72   -33.80     0.58)  ; 6
+        (  509.86    86.40   -35.55     0.58)  ; 7
+        (  511.32    84.82   -37.28     0.58)  ; 8
+        (  512.49    83.87   -38.42     0.58)  ; 9
+        (  513.66    82.92   -39.22     0.58)  ; 10
+        (  514.53    82.29   -38.65     0.58)  ; 11
+        (  515.70    82.92   -36.38     0.58)  ; 12
+        (  516.87    82.92   -34.75     0.58)  ; 13
+        (  517.74    82.29   -33.75     0.58)  ; 14
+        (  519.49    80.71   -31.70     0.58)  ; 15
+        (  519.78    80.08   -30.70     0.58)  ; 16
+        (  520.95    78.18   -29.45     0.58)  ; 17
+        (  522.12    76.60   -29.08     0.58)  ; 18
+        (  523.58    75.97   -28.82     0.58)  ; 19
+        (  525.33    74.39   -28.23     0.58)  ; 20
+        (  527.08    72.81   -27.08     0.58)  ; 21
+        (  527.96    70.28   -25.92     0.58)  ; 22
+        (  529.41    68.70   -25.35     0.58)  ; 23
+        (  531.17    66.18   -25.35     0.58)  ; 24
+        (  532.62    64.91   -24.97     0.58)  ; 25
+        (  533.70    62.95   -23.92     0.58)  ; 26
+        (  535.16    61.69   -22.40     0.58)  ; 27
+        (  535.75    60.74   -21.13     0.58)  ; 28
+        (  535.75    59.79   -21.13     0.58)  ; 29
+        (  536.33    57.90   -20.42     0.58)  ; 30
+        (  536.91    55.05   -19.88     0.58)  ; 31
+        (  537.50    54.10   -19.38     0.58)  ; 32
+        (  538.96    53.47   -19.38     0.58)  ; 33
+        (  541.29    52.52   -18.65     0.58)  ; 34
+        (  543.33    51.58   -18.65     0.58)  ; 35
+        (  545.96    49.68   -18.30     0.58)  ; 36
+        (  547.71    48.73   -17.45     0.58)  ; 37
+        (  550.05    47.78   -16.75     0.58)  ; 38
+        (  551.80    46.20   -16.13     0.58)  ; 39
+        (  553.55    43.68   -15.88     0.58)  ; 40
+        (  555.59    41.15   -15.85     0.58)  ; 41
+        (  557.34    38.30   -15.60     0.58)  ; 42
+        (  557.63    37.04   -15.60     0.58)  ; 43
+        (  556.76    35.14   -14.57     0.58)  ; 44
+        (  555.88    32.93   -14.00     0.58)  ; 45
+        (  555.88    29.14   -13.42     0.58)  ; 46
+        (  556.17    26.61   -13.13     0.58)  ; 47
+        (  557.34    24.08   -13.13     0.58)  ; 48
+        (  559.09    22.50   -13.13     0.58)  ; 49
+        (  559.68    19.98   -12.80     0.58)  ; 50
+        (  561.75    16.86   -12.77     0.58)  ; 51
+        (  564.09    14.65   -12.77     0.58)  ; 52
+        (  565.55    13.07   -12.52     0.58)  ; 53
+        (  567.30    13.07   -12.45     0.58)  ; 54
+        (  568.47    13.70   -12.38     0.58)  ; 55
+        (  569.34    13.70   -12.17     0.58)  ; 56
+        (  570.22    13.07   -12.13     0.58)  ; 57
+        (  570.22    11.81   -11.88     0.58)  ; 58
+        (  571.38     8.02   -11.75     0.58)  ; 59
+        (  573.13     6.12   -10.97     0.58)  ; 60
+        (  575.76     5.80   -10.50     0.58)  ; 61
+        (  577.22     4.54    -9.75     0.58)  ; 62
+        (  578.68     2.01    -9.67     0.58)  ; 63
+        (  579.85     1.70    -8.57     0.58)  ; 64
+        (  581.60     0.75    -8.47     0.58)  ; 65
+        (  581.31    -0.83    -7.63     0.58)  ; 66
+        (  580.93    -2.16    -7.75     0.58)  ; 67
+        (  582.68    -3.74    -7.25     0.29)  ; 68
+        (  583.26    -5.32    -6.40     0.29)  ; 69
+        (  585.01    -6.27    -5.50     0.29)  ; 70
+        (  586.47    -7.53    -4.38     0.29)  ; 71
+        (  587.64    -8.48    -3.65     0.29)  ; 72
+        (  588.80    -9.43    -3.65     0.29)  ; 73
+        (  589.39   -11.32    -3.02     0.29)  ; 74
+        (  589.97   -12.27    -2.57     0.29)  ; 75
+        (  591.43   -11.95    -2.57     0.29)  ; 76
+        (  592.60   -11.95    -3.47     0.29)  ; 77
+        (  592.89   -13.22    -1.50     0.29)  ; 78
+        (  593.18   -15.43     0.25     0.29)  ; 79
+        (  594.93   -17.01     2.38     0.29)  ; 80
+        (  595.81   -17.33     2.55     0.29)  ; 81
+        (  597.27   -18.91     2.55     0.29)  ; 82
+        (  599.02   -19.54     1.85     0.29)  ; 83
+        (  599.31   -21.12    -1.38     0.29)  ; 84
+        (  600.48   -22.70    -2.10     0.29)  ; 85
+        (  600.77   -24.97    -3.40     0.29)  ; 86
+        (  601.94   -27.82    -7.10     0.29)  ; 87
+        (  601.64   -30.35    -9.80     0.29)  ; 88
+        (  602.52   -31.29   -11.65     0.29)  ; 89
+        (  603.10   -32.87   -11.70     0.29)  ; 90
+        (  602.23   -35.72   -13.63     0.29)  ; 91
+        (  602.52   -36.98   -14.97     0.29)  ; 92
+        (  603.40   -37.93   -14.97     0.29)  ; 93
+        (  604.85   -38.56   -15.82     0.29)  ; 94
+        (  606.31   -38.88   -15.82     0.29)  ; 95
+        (  606.90   -39.83   -16.45     0.29)  ; 96
+        (  608.06   -39.83   -13.97     0.29)  ; 97
+        (  609.23   -40.14    -9.13     0.29)  ; 98
+        (  611.27   -39.83    -6.20     0.29)  ; 99
+        (  613.61   -40.14    -3.62     0.29)  ; 100
+        (  615.36   -42.04    -1.40     0.29)  ; 101
+        (  617.40   -43.62    -0.57     0.29)  ; 102
+        (  617.40   -44.25    -0.10     0.29)  ; 103
+
+        (Cross
+          (Color RGB (100, 100, 100))
+          (Name "Marker 3")
+          (  503.73    93.04   -31.32     0.58)  ; 1
+          (  502.28    92.40   -31.32     0.58)  ; 2
+          (  502.86    91.14   -31.32     0.58)  ; 3
+          (  506.36    87.98   -32.72     0.58)  ; 4
+          (  507.24    87.35   -32.72     0.58)  ; 5
+          (  507.82    88.61   -32.72     0.58)  ; 6
+          (  510.15    87.35   -33.80     0.58)  ; 7
+          (  509.86    85.45   -37.28     0.58)  ; 8
+          (  510.45    84.82   -37.28     0.58)  ; 9
+          (  510.74    85.14   -38.45     0.58)  ; 10
+          (  511.91    83.24   -39.22     0.58)  ; 11
+          (  514.24    81.98   -36.38     0.58)  ; 12
+          (  515.12    81.66   -36.38     0.58)  ; 13
+          (  515.41    81.98   -36.38     0.58)  ; 14
+          (  515.70    83.56   -36.38     0.58)  ; 15
+          (  521.24    76.60   -29.08     0.58)  ; 16
+          (  518.62    80.08   -31.02     0.58)  ; 17
+          (  522.41    75.97   -28.82     0.58)  ; 18
+          (  524.16    74.39   -28.23     0.58)  ; 19
+          (  524.75    74.08   -28.23     0.58)  ; 20
+          (  524.75    76.60   -28.23     0.58)  ; 21
+          (  525.62    72.81   -27.08     0.58)  ; 22
+          (  526.79    73.76   -27.08     0.58)  ; 23
+          (  526.50    72.18   -25.92     0.58)  ; 24
+          (  526.79    71.23   -25.92     0.58)  ; 25
+          (  527.66    72.50   -25.92     0.58)  ; 26
+          (  528.25    68.70   -25.35     0.58)  ; 27
+          (  529.12    67.76   -25.35     0.58)  ; 28
+          (  529.71    65.86   -25.35     0.58)  ; 29
+          (  531.75    66.49   -25.35     0.58)  ; 30
+          (  531.17    68.39   -25.35     0.58)  ; 31
+          (  530.00    70.28   -25.35     0.58)  ; 32
+          (  530.29    64.91   -24.97     0.58)  ; 33
+          (  530.87    64.91   -24.97     0.58)  ; 34
+          (  533.50    65.86   -24.97     0.58)  ; 35
+          (  532.33    64.28   -24.97     0.58)  ; 36
+          (  526.99    69.27   -23.92     0.58)  ; 37
+          (  531.95    66.11   -23.92     0.58)  ; 38
+          (  534.00    64.53   -23.92     0.58)  ; 39
+          (  534.58    63.90   -23.92     0.58)  ; 40
+          (  534.58    63.58   -23.92     0.58)  ; 41
+          (  532.83    62.64   -23.92     0.58)  ; 42
+          (  536.62    62.00   -22.40     0.58)  ; 43
+          (  536.62    61.37   -22.40     0.58)  ; 44
+          (  535.16    61.37   -22.40     0.58)  ; 45
+          (  535.16    59.79   -21.13     0.58)  ; 46
+          (  536.33    61.69   -21.13     0.58)  ; 47
+          (  534.58    62.64   -21.13     0.58)  ; 48
+          (  535.16    62.32   -21.13     0.58)  ; 49
+          (  535.75    57.90   -19.88     0.58)  ; 50
+          (  536.91    58.53   -19.88     0.58)  ; 51
+          (  537.50    56.95   -19.88     0.58)  ; 52
+          (  536.04    55.68   -19.88     0.58)  ; 53
+          (  536.04    55.05   -19.88     0.58)  ; 54
+          (  537.50    55.68   -19.38     0.58)  ; 55
+          (  538.66    55.05   -19.38     0.58)  ; 56
+          (  539.54    54.42   -19.38     0.58)  ; 57
+          (  540.12    54.42   -19.38     0.58)  ; 58
+          (  539.54    52.52   -19.38     0.58)  ; 59
+          (  537.21    53.16   -19.38     0.58)  ; 60
+          (  540.71    51.89   -18.65     0.58)  ; 61
+          (  541.00    53.16   -18.65     0.58)  ; 62
+          (  542.17    53.47   -18.65     0.58)  ; 63
+          (  543.63    52.52   -18.65     0.58)  ; 64
+          (  544.50    51.58   -18.48     0.58)  ; 65
+          (  545.38    50.63   -18.48     0.58)  ; 66
+          (  545.38    50.94   -18.48     0.58)  ; 67
+          (  542.75    50.31   -18.30     0.58)  ; 68
+          (  547.71    47.47   -17.45     0.58)  ; 69
+          (  548.29    49.68   -17.45     0.58)  ; 70
+          (  549.75    49.05   -16.75     0.58)  ; 71
+          (  549.75    46.52   -16.13     0.58)  ; 72
+          (  552.09    47.78   -16.13     0.58)  ; 73
+          (  551.21    45.57   -15.88     0.58)  ; 74
+          (  552.09    43.99   -15.88     0.58)  ; 75
+          (  552.96    43.36   -15.88     0.58)  ; 76
+          (  554.71    44.62   -15.88     0.58)  ; 77
+          (  553.26    45.89   -15.88     0.58)  ; 78
+          (  554.71    43.36   -15.60     0.58)  ; 79
+          (  555.01    43.04   -15.60     0.58)  ; 80
+          (  555.59    42.73   -15.60     0.58)  ; 81
+          (  553.55    42.10   -15.60     0.58)  ; 82
+          (  554.42    41.46   -15.60     0.58)  ; 83
+          (  554.71    40.20   -15.60     0.58)  ; 84
+          (  555.88    39.57   -15.60     0.58)  ; 85
+          (  556.47    41.15   -15.60     0.58)  ; 86
+          (  557.34    39.88   -15.60     0.58)  ; 87
+          (  557.92    38.62   -15.60     0.58)  ; 88
+          (  558.22    37.99   -15.60     0.58)  ; 89
+          (  557.34    37.67   -15.60     0.58)  ; 90
+          (  558.51    37.04   -15.60     0.58)  ; 91
+          (  556.17    35.14   -14.57     0.58)  ; 92
+          (  557.63    34.51   -14.57     0.58)  ; 93
+          (  555.01    32.62   -13.42     0.58)  ; 94
+          (  557.05    31.04   -13.42     0.58)  ; 95
+          (  557.34    29.77   -13.42     0.58)  ; 96
+          (  555.30    28.51   -13.13     0.58)  ; 97
+          (  556.47    28.19   -13.13     0.58)  ; 98
+          (  555.59    27.24   -13.13     0.58)  ; 99
+          (  556.17    25.03   -13.13     0.58)  ; 100
+          (  558.51    25.03   -13.13     0.58)  ; 101
+          (  557.92    23.14   -13.13     0.58)  ; 102
+          (  560.26    22.19   -13.13     0.58)  ; 103
+          (  558.80    21.24   -12.80     0.58)  ; 104
+          (  557.67    21.92   -12.77     0.58)  ; 105
+          (  564.67    14.65   -12.77     0.58)  ; 106
+          (  565.55    14.65   -12.77     0.58)  ; 107
+          (  563.50    13.70   -12.77     0.58)  ; 108
+          (  562.34    15.92   -12.77     0.58)  ; 109
+          (  563.80    16.86   -12.77     0.58)  ; 110
+          (  561.46    15.92   -12.77     0.58)  ; 111
+          (  561.17    16.23   -12.77     0.58)  ; 112
+          (  560.29    17.18   -12.77     0.58)  ; 113
+          (  561.46    19.08   -13.02     0.58)  ; 114
+          (  561.46    19.39   -13.02     0.58)  ; 115
+          (  560.00    18.76   -13.02     0.58)  ; 116
+          (  559.13    18.76   -13.02     0.58)  ; 117
+          (  563.21    14.02   -13.15     0.58)  ; 118
+          (  563.80    13.39   -12.45     0.58)  ; 119
+          (  564.38    14.65   -12.45     0.58)  ; 120
+          (  564.96    14.65   -12.45     0.58)  ; 121
+          (  565.26    12.44   -12.45     0.58)  ; 122
+          (  569.63    14.02   -12.13     0.58)  ; 123
+          (  570.51     8.96   -11.75     0.58)  ; 124
+          (  569.92    11.18   -11.75     0.58)  ; 125
+          (  571.68    10.54   -11.75     0.58)  ; 126
+          (  570.80     7.70   -10.97     0.58)  ; 127
+          (  572.55     8.65   -10.97     0.58)  ; 128
+          (  571.68     6.75   -10.50     0.58)  ; 129
+          (  572.26     6.12   -10.50     0.58)  ; 130
+          (  572.55     5.49   -10.50     0.58)  ; 131
+          (  573.43     5.49   -10.50     0.58)  ; 132
+          (  574.89     6.75   -10.50     0.58)  ; 133
+          (  575.76     4.86    -9.67     0.58)  ; 134
+          (  576.34     3.91    -9.67     0.58)  ; 135
+          (  578.68     3.91    -9.67     0.58)  ; 136
+          (  578.39     4.86    -9.67     0.58)  ; 137
+          (  580.14     0.43    -8.47     0.58)  ; 138
+          (  579.85    -0.52    -7.63     0.58)  ; 139
+          (  582.18    -0.20    -7.63     0.58)  ; 140
+          (  580.63    -1.53    -7.25     0.29)  ; 141
+          (  582.38    -1.84    -7.25     0.29)  ; 142
+          (  580.34    -3.74    -7.25     0.29)  ; 143
+          (  582.97    -3.42    -6.40     0.29)  ; 144
+          (  582.68    -5.32    -6.40     0.29)  ; 145
+          (  583.26    -4.05    -6.40     0.29)  ; 146
+          (  584.14    -6.58    -5.50     0.29)  ; 147
+          (  585.59    -5.32    -5.50     0.29)  ; 148
+          (  584.72    -7.53    -4.38     0.29)  ; 149
+          (  586.18    -7.85    -4.38     0.29)  ; 150
+          (  588.22    -7.53    -3.65     0.29)  ; 151
+          (  588.22    -8.16    -3.65     0.29)  ; 152
+          (  589.10    -8.16    -3.02     0.29)  ; 153
+          (  589.10    -9.11    -3.02     0.29)  ; 154
+          (  588.51   -10.37    -3.02     0.29)  ; 155
+          (  588.80   -12.59    -2.57     0.29)  ; 156
+          (  590.56   -12.90    -2.57     0.29)  ; 157
+          (  592.60   -10.69    -2.57     0.29)  ; 158
+          (  590.85   -11.32    -3.67     0.29)  ; 159
+          (  592.60   -14.17     0.25     0.29)  ; 160
+          (  593.77   -14.17     0.25     0.29)  ; 161
+          (  592.60   -15.43     1.38     0.29)  ; 162
+          (  594.06   -17.01     2.38     0.29)  ; 163
+          (  595.22   -15.75     2.38     0.29)  ; 164
+          (  593.77   -15.11     2.38     0.29)  ; 165
+          (  592.89   -15.11     2.38     0.29)  ; 166
+          (  595.81   -16.38     2.55     0.29)  ; 167
+          (  596.39   -16.69     2.55     0.29)  ; 168
+          (  596.39   -18.27     2.55     0.29)  ; 169
+          (  594.06   -16.69     2.55     0.29)  ; 170
+          (  596.98   -19.22     2.55     0.29)  ; 171
+          (  597.85   -18.27     2.55     0.29)  ; 172
+          (  596.98   -19.85    -2.10     0.29)  ; 173
+          (  598.43   -21.43    -2.10     0.29)  ; 174
+          (  600.48   -20.80    -2.10     0.29)  ; 175
+          (  599.02   -18.59    -2.10     0.29)  ; 176
+          (  600.19   -24.97    -3.40     0.29)  ; 177
+          (  601.35   -24.66    -3.40     0.29)  ; 178
+          (  601.06   -22.45    -3.40     0.29)  ; 179
+          (  601.94   -24.66    -3.40     0.29)  ; 180
+          (  600.48   -25.61    -7.10     0.29)  ; 181
+          (  600.48   -26.55    -7.10     0.29)  ; 182
+          (  600.77   -27.50    -7.10     0.29)  ; 183
+          (  602.81   -26.24    -7.10     0.29)  ; 184
+          (  601.94   -27.50    -7.10     0.29)  ; 185
+          (  600.48   -28.45    -9.80     0.29)  ; 186
+          (  602.52   -28.13    -9.80     0.29)  ; 187
+          (  601.94   -29.40    -9.80     0.29)  ; 188
+          (  602.23   -29.71   -11.70     0.29)  ; 189
+          (  603.40   -31.93   -11.70     0.29)  ; 190
+          (  602.81   -30.66   -11.70     0.29)  ; 191
+          (  603.40   -33.19   -11.70     0.29)  ; 192
+          (  603.40   -31.93   -11.70     0.29)  ; 193
+          (  602.52   -33.51   -11.70     0.29)  ; 194
+          (  601.94   -34.45   -13.63     0.29)  ; 195
+          (  603.40   -34.45   -13.63     0.29)  ; 196
+          (  601.64   -35.72   -13.63     0.29)  ; 197
+          (  603.10   -35.72   -14.97     0.29)  ; 198
+          (  603.98   -36.98   -15.82     0.29)  ; 199
+          (  602.81   -38.56   -15.82     0.29)  ; 200
+          (  602.23   -37.30   -15.82     0.29)  ; 201
+          (  606.02   -40.14   -16.45     0.29)  ; 202
+          (  606.61   -38.88   -16.45     0.29)  ; 203
+          (  605.73   -38.25    -9.13     0.29)  ; 204
+          (  608.94   -38.88    -9.13     0.29)  ; 205
+          (  609.23   -41.72    -9.13     0.29)  ; 206
+          (  611.86   -38.88    -6.20     0.29)  ; 207
+          (  608.06   -41.09    -6.20     0.29)  ; 208
+          (  611.27   -40.77    -6.20     0.29)  ; 209
+        )  ;  End of markers
+         Normal
+      )  ;  End of split
+    |
+      (  485.30    88.53   -20.47     0.88)  ; 1, R-2-2
+      (  485.01    87.27   -18.88     0.88)  ; 2
+      (  485.59    86.01   -16.38     0.88)  ; 3
+      (  487.05    85.37   -16.05     0.88)  ; 4
+      (  488.51    84.43   -14.95     0.88)  ; 5
+      (  488.22    83.16   -13.55     0.88)  ; 6
+      (  488.51    80.95   -13.35     0.88)  ; 7
+      (  488.22    79.05   -13.77     0.88)  ; 8
+      (  488.80    77.16   -15.17     0.88)  ; 9
+      (  489.09    75.26   -17.25     0.88)  ; 10
+      (  489.97    74.31   -19.52     0.88)  ; 11
+      (  492.01    73.37   -20.25     0.88)  ; 12
+      (  493.18    71.47   -20.42     0.88)  ; 13
+      (  495.51    68.63   -20.70     0.88)  ; 14
+      (  497.55    66.41   -20.87     0.88)  ; 15
+      (  498.72    64.52   -21.25     0.88)  ; 16
+      (  499.89    63.57   -21.38     0.88)  ; 17
+      (
+        (  500.18    61.36   -16.65     0.58)  ; 1, R-2-2-1
+        (  500.47    59.15   -13.32     0.58)  ; 2
+        (  501.35    56.93   -11.53     0.58)  ; 3
+        (  501.93    54.72   -10.63     0.58)  ; 4
+        (  502.81    52.51    -9.25     0.58)  ; 5
+        (  503.68    50.61    -8.38     0.58)  ; 6
+        (  504.85    49.35    -8.25     0.58)  ; 7
+        (  506.60    48.72    -7.47     0.58)  ; 8
+        (  508.35    49.35    -5.53     0.58)  ; 9
+        (  509.52    49.98    -3.62     0.58)  ; 10
+        (  510.69    49.35    -2.17     0.58)  ; 11
+        (  512.14    48.40    -1.38     0.58)  ; 12
+        (  513.02    47.14    -1.32     0.58)  ; 13
+        (  514.19    45.24    -0.05     0.58)  ; 14
+        (  515.65    43.98     0.70     0.58)  ; 15
+        (  516.81    43.03     0.82     0.58)  ; 16
+        (  517.98    40.82     1.00     0.58)  ; 17
+        (  519.44    38.92     1.17     0.88)  ; 18
+        (  522.07    37.66     1.38     0.88)  ; 19
+        (  524.69    37.66     1.60     0.88)  ; 20
+        (  526.44    38.29     3.55     0.88)  ; 21
+        (  527.32    37.97     4.88     0.88)  ; 22
+        (  528.19    37.34     5.13     0.88)  ; 23
+        (  528.78    35.76     6.80     0.88)  ; 24
+        (  529.07    32.92     7.47     0.88)  ; 25
+        (  529.65    31.65     7.57     0.88)  ; 26
+        (  531.40    30.39     7.80     0.88)  ; 27
+        (  534.03    29.13     8.97     0.58)  ; 28
+        (  536.37    29.44    10.02     0.58)  ; 29
+        (  537.82    30.07    11.50     0.58)  ; 30
+        (  538.70    29.44    11.70     0.58)  ; 31
+        (  539.58    27.86    12.80     0.58)  ; 32
+        (  540.74    26.28    13.80     0.58)  ; 33
+        (  541.91    24.70    14.75     0.58)  ; 34
+        (  543.66    25.33    15.85     0.58)  ; 35
+        (  544.54    24.39    19.10     0.29)  ; 36
+        (  545.70    23.44    19.67     0.29)  ; 37
+        (  547.16    22.81    20.97     0.29)  ; 38
+        (  548.33    23.44    21.38     0.29)  ; 39
+        (  549.50    23.44    22.25     0.29)  ; 40
+        (  550.37    25.33    23.47     0.29)  ; 41
+         Low
+      |
+        (  501.64    62.62   -21.63     0.58)  ; 1, R-2-2-2
+        (  502.52    61.04   -22.08     0.58)  ; 2
+        (  503.10    59.15   -22.47     0.58)  ; 3
+        (  503.10    57.88   -22.47     0.88)  ; 4
+        (  504.56    55.04   -22.83     0.88)  ; 5
+        (  506.02    52.83   -23.57     0.88)  ; 6
+        (  508.06    51.88   -24.20     0.88)  ; 7
+        (  509.81    50.30   -24.77     0.88)  ; 8
+        (  510.69    48.40   -25.52     0.88)  ; 9
+        (  512.44    46.82   -26.13     0.88)  ; 10
+        (  513.90    45.87   -27.92     0.88)  ; 11
+        (  515.06    44.61   -28.13     0.88)  ; 12
+        (  515.35    42.40   -28.42     0.88)  ; 13
+        (  516.23    41.45   -28.65     0.88)  ; 14
+        (  517.69    40.19   -28.67     0.88)  ; 15
+        (  519.15    39.55   -29.10     0.88)  ; 16
+        (  520.32    38.29   -29.20     0.88)  ; 17
+        (  521.19    36.71   -28.60     0.88)  ; 18
+        (  521.77    34.18   -28.37     0.88)  ; 19
+        (  522.94    31.65   -28.10     0.88)  ; 20
+        (  524.98    29.13   -27.30     0.88)  ; 21
+        (  527.32    26.60   -27.05     0.88)  ; 22
+        (  529.07    25.65   -26.13     0.88)  ; 23
+        (  529.95    24.39   -26.13     0.88)  ; 24
+        (  531.11    21.86   -25.87     0.88)  ; 25
+        (  532.28    19.65   -25.60     0.88)  ; 26
+        (  532.57    17.75   -25.30     0.88)  ; 27
+        (  533.16    15.85   -25.27     0.88)  ; 28
+        (  533.16    14.59   -24.80     0.88)  ; 29
+        (  534.03    13.96   -24.80     0.88)  ; 30
+        (  535.49    12.69   -26.13     0.88)  ; 31
+        (  536.95    12.00   -27.30     0.88)  ; 32
+        (  538.70    11.05   -27.42     0.88)  ; 33
+        (  539.28     9.79   -27.50     0.88)  ; 34
+        (  538.99     7.89   -27.63     0.88)  ; 35
+        (  538.12     6.31   -27.73     0.88)  ; 36
+        (  538.41     4.41   -27.73     0.88)  ; 37
+        (  539.87     3.47   -27.97     0.88)  ; 38
+        (  541.62     2.20   -28.23     0.88)  ; 39
+        (  542.79     0.31   -28.40     0.88)  ; 40
+        (  543.66    -1.59   -28.60     0.88)  ; 41
+        (  543.95    -3.80   -28.63     0.88)  ; 42
+        (  544.54    -6.01   -28.50     0.88)  ; 43
+        (  545.70    -7.59   -28.07     0.88)  ; 44
+        (  546.58    -9.81   -28.15     0.88)  ; 45
+        (  548.33   -12.65   -28.25     0.88)  ; 46
+        (  549.79   -14.86   -28.42     0.88)  ; 47
+        (  550.37   -17.14   -28.57     0.88)  ; 48
+        (  551.25   -19.67   -28.67     0.88)  ; 49
+        (  552.71   -21.56   -27.55     0.88)  ; 50
+        (  554.17   -24.41   -26.72     0.88)  ; 51
+        (  555.04   -27.25   -25.42     0.88)  ; 52
+        (  555.92   -29.46   -23.70     0.88)  ; 53
+        (  555.52   -30.58   -20.60     0.88)  ; 54
+        (  554.35   -32.16   -20.35     0.88)  ; 55
+        (  554.06   -33.10   -19.63     0.88)  ; 56
+        (  554.93   -34.68   -19.48     0.88)  ; 57
+        (  556.68   -35.95   -19.23     0.88)  ; 58
+        (  558.73   -37.84   -18.67     0.88)  ; 59
+        (  560.19   -38.79   -18.63     0.88)  ; 60
+        (  561.06   -40.69   -18.60     0.88)  ; 61
+        (  560.77   -43.22   -18.38     0.88)  ; 62
+        (  561.35   -44.48   -18.20     0.88)  ; 63
+        (  561.94   -46.69   -17.82     0.88)  ; 64
+        (  563.10   -48.59   -16.45     0.88)  ; 65
+        (  564.85   -50.48   -16.17     0.88)  ; 66
+        (  566.90   -52.06   -15.68     0.88)  ; 67
+        (  568.06   -54.28   -15.05     0.58)  ; 68
+        (  568.94   -56.17   -14.80     0.58)  ; 69
+        (  569.23   -57.75   -14.38     0.58)  ; 70
+        (  570.11   -58.38   -14.27     0.58)  ; 71
+        (  570.98   -58.70   -14.27     0.58)  ; 72
+        (  571.57   -60.28   -14.07     0.58)  ; 73
+        (  572.44   -61.86   -14.63     0.58)  ; 74
+        (  573.03   -64.45   -15.02     0.58)  ; 75
+        (  574.48   -65.72   -16.50     0.58)  ; 76
+        (  575.65   -67.30   -18.20     0.58)  ; 77
+        (  577.11   -68.24   -18.27     0.58)  ; 78
+        (  577.69   -69.82   -18.15     0.58)  ; 79
+        (  577.40   -71.72   -18.00     0.58)  ; 80
+        (  576.82   -72.98   -17.85     0.58)  ; 81
+        (  577.40   -73.93   -17.67     0.58)  ; 82
+        (  578.57   -74.56   -17.50     0.58)  ; 83
+        (  580.03   -74.25   -17.27     0.58)  ; 84
+        (  581.49   -75.20   -17.17     0.58)  ; 85
+        (  582.66   -76.14   -17.13     0.58)  ; 86
+        (  582.36   -77.41   -16.98     0.58)  ; 87
+        (  581.78   -78.99   -16.67     0.58)  ; 88
+        (  582.36   -79.94   -16.45     0.58)  ; 89
+        (  583.82   -81.20   -16.15     0.58)  ; 90
+        (  586.45   -82.78   -15.68     0.58)  ; 91
+        (  588.20   -83.79   -15.43     0.58)  ; 92
+        (  589.95   -85.69   -14.48     0.58)  ; 93
+        (  591.41   -88.21   -13.72     0.58)  ; 94
+        (  592.58   -90.11   -12.98     0.58)  ; 95
+        (  592.87   -92.01   -12.67     0.58)  ; 96
+        (  592.58   -94.22   -12.17     0.58)  ; 97
+        (  592.87   -95.80   -11.70     0.58)  ; 98
+        (  594.62   -97.38   -11.05     0.58)  ; 99
+        (  596.37   -97.69   -10.12     0.58)  ; 100
+        (  598.12   -98.64   -10.02     0.29)  ; 101
+        (  598.71  -101.17    -9.75     0.29)  ; 102
+        (  599.87  -103.07    -9.02     0.29)  ; 103
+        (  601.33  -104.96    -8.13     0.29)  ; 104
+        (  602.79  -106.54    -7.70     0.29)  ; 105
+        (  603.08  -108.44    -6.82     0.29)  ; 106
+        (  603.67  -110.02    -5.57     0.29)  ; 107
+        (  605.13  -110.02    -4.22     0.29)  ; 108
+        (  606.58  -109.07    -4.05     0.29)  ; 109
+        (  607.17  -107.17    -3.65     0.29)  ; 110
+         Normal
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color RGB (255, 128, 128))
+  (Dendrite)
+  (  451.41   105.57    -1.77     0.58)  ; Root
+  (  450.82   107.47    -1.35     1.17)  ; 1, R
+  (  450.24   108.73     2.38     0.88)  ; 2
+  (  449.36   110.00     4.30     0.88)  ; 3
+  (  447.32   111.26     4.85     0.88)  ; 4
+  (  446.15   111.26     6.70     0.88)  ; 5
+  (  444.99   110.63     7.60     0.88)  ; 6
+  (  443.53   109.68     9.60     0.88)  ; 7
+  (  441.19   110.31    12.10     0.88)  ; 8
+  (  440.03   110.31    13.27     1.17)  ; 9
+  (  438.57   111.89    13.40     1.17)  ; 10
+  (  437.11   114.42    10.90     1.17)  ; 11
+  (  436.53   115.68     7.25     1.17)  ; 12
+  (  434.77   117.26     2.85     1.17)  ; 13
+  (  431.56   119.79     1.58     0.88)  ; 14
+  (  428.94   122.00     0.25     0.88)  ; 15
+  (  427.77   122.95     0.50     0.88)  ; 16
+  (  426.02   124.53     2.92     1.17)  ; 17
+  (  423.98   126.74     6.62     1.17)  ; 18
+  (  421.64   128.32     7.25     1.17)  ; 19
+  (  419.89   129.27     9.07     1.17)  ; 20
+  (  417.85   130.85    13.23     1.17)  ; 21
+  (  417.85   132.43    14.35     1.17)  ; 22
+  (  416.68   132.75    14.35     1.17)  ; 23
+  (  414.35   134.01    14.82     1.17)  ; 24
+  (  410.85   135.28    15.12     1.17)  ; 25
+  (  407.93   136.54    16.47     1.17)  ; 26
+  (  405.59   138.44    17.88     1.17)  ; 27
+  (  402.97   139.38    20.13     1.17)  ; 28
+  (  400.34   140.96    20.40     1.17)  ; 29
+  (  398.01   141.28    21.32     1.17)  ; 30
+  (  394.21   142.54    21.32     1.17)  ; 31
+  (  391.88   143.81    22.25     1.17)  ; 32
+  (  389.54   145.07    22.45     1.17)  ; 33
+  (  387.79   145.70    22.57     1.17)  ; 34
+  (  386.33   145.39    22.57     1.17)  ; 35
+
+  (Cross
+    (Color RGB (255, 128, 128))
+    (Name "Marker 3")
+    (  447.91   110.00     7.13     0.88)  ; 1
+    (  450.24   110.63     7.13     0.88)  ; 2
+    (  444.99   111.89     7.60     0.88)  ; 3
+    (  436.23   112.52    10.90     1.17)  ; 4
+    (  437.40   111.89    10.90     1.17)  ; 5
+    (  440.32   113.16    10.90     1.17)  ; 6
+    (  438.28   115.68     7.25     1.17)  ; 7
+    (  437.98   114.10     7.25     1.17)  ; 8
+    (  435.07   115.68     2.85     1.17)  ; 9
+    (  433.32   116.63     2.85     1.17)  ; 10
+    (  435.07   117.90     2.85     1.17)  ; 11
+    (  430.69   121.69     0.25     0.88)  ; 12
+    (  432.15   120.74     0.25     0.88)  ; 13
+    (  423.10   124.85     6.62     1.17)  ; 14
+    (  426.90   125.48     6.62     1.17)  ; 15
+    (  424.85   127.06     6.62     1.17)  ; 16
+    (  423.10   126.43     7.25     1.17)  ; 17
+    (  422.52   126.74     7.25     1.17)  ; 18
+    (  424.27   127.38     7.25     1.17)  ; 19
+    (  422.52   129.27     9.07     1.17)  ; 20
+    (  420.18   127.69     9.07     1.17)  ; 21
+    (  417.85   130.22    13.20     1.17)  ; 22
+    (  421.35   130.54    13.20     1.17)  ; 23
+    (  419.60   131.48    13.20     1.17)  ; 24
+    (  419.60   132.75    14.35     1.17)  ; 25
+    (  418.14   133.70    14.35     1.17)  ; 26
+    (  418.14   134.01    14.02     1.17)  ; 27
+    (  416.97   134.33    14.02     1.17)  ; 28
+    (  416.10   134.33    14.02     1.17)  ; 29
+    (  414.93   132.43    14.02     1.17)  ; 30
+    (  411.72   135.59    15.12     1.17)  ; 31
+    (  412.89   135.59    15.12     1.17)  ; 32
+    (  413.76   135.91    15.12     1.17)  ; 33
+    (  414.35   135.59    15.12     1.17)  ; 34
+    (  412.60   133.06    15.12     1.17)  ; 35
+    (  410.26   134.01    15.12     1.17)  ; 36
+    (  404.72   137.49    17.88     1.17)  ; 37
+    (  406.47   136.22    17.88     1.17)  ; 38
+    (  405.88   139.07    17.88     1.17)  ; 39
+    (  406.18   139.07    17.88     1.17)  ; 40
+    (  407.64   138.44    17.88     1.17)  ; 41
+    (  404.13   140.02    20.40     1.17)  ; 42
+    (  401.80   139.38    20.40     1.17)  ; 43
+    (  400.92   140.02    20.40     1.17)  ; 44
+    (  398.59   142.23    21.32     1.17)  ; 45
+    (  392.46   141.28    22.08     1.17)  ; 46
+    (  393.63   141.28    22.08     1.17)  ; 47
+  )  ;  End of markers
+
+  (Cross
+    (Color RGB (0, 128, 192))
+    (Name "Marker 3")
+    (  385.46   146.97    22.57     1.17)  ; 1
+    (  388.08   144.12    22.57     1.17)  ; 2
+    (  388.67   146.65    22.57     1.17)  ; 3
+    (  390.42   145.39    22.57     1.17)  ; 4
+    (  392.17   144.76    22.57     1.17)  ; 5
+  )  ;  End of markers
+   Low
+)  ;  End of tree
+
+( (Color Orange)
+  (Dendrite)
+  (  449.66   102.73   -13.25     1.17)  ; Root
+  (  447.91   102.73   -15.15     1.75)  ; 1, R
+  (  446.15   102.73   -19.88     1.75)  ; 2
+  (  445.28   102.41   -24.65     1.75)  ; 3
+  (  444.70   100.83   -33.85     1.75)  ; 4
+  (
+    (  443.82   100.52   -37.63     1.75)  ; 1, R-1
+    (  441.49    99.88   -41.40     2.04)  ; 2
+    (  439.73    99.88   -41.63     2.04)  ; 3
+    (
+      (  439.23    98.69   -38.63     0.88)  ; 1, R-1-1
+      (  438.64    97.74   -39.30     0.88)  ; 2
+      (  438.35    97.11   -40.83     0.88)  ; 3
+      (  438.35    96.48   -42.90     0.88)  ; 4
+      (  438.35    94.90   -43.10     0.88)  ; 5
+      (  437.77    93.32   -43.42     0.88)  ; 6
+      (  436.89    91.42   -44.60     0.88)  ; 7
+      (  436.02    90.79   -46.55     0.88)  ; 8
+      (  435.14    89.53   -48.18     0.88)  ; 9
+      (  433.68    87.63   -49.90     0.88)  ; 10
+      (  431.35    86.05   -51.77     0.88)  ; 11
+      (  429.89    84.47   -53.45     0.88)  ; 12
+      (  429.30    82.89   -55.20     0.88)  ; 13
+      (  429.30    81.00   -57.25     0.88)  ; 14
+      (  429.89    78.47   -58.20     0.88)  ; 15
+      (  430.76    75.31   -58.75     0.88)  ; 16
+      (  431.06    73.10   -59.67     0.88)  ; 17
+      (  430.76    71.20   -61.50     0.88)  ; 18
+      (  431.06    69.94   -61.65     0.88)  ; 19
+      (
+        (  433.07    68.78   -61.88     0.58)  ; 1, R-1-1-1
+        (  433.95    66.25   -62.72     0.58)  ; 2
+        (  434.53    63.41   -64.92     0.58)  ; 3
+        (  433.95    59.93   -65.88     0.58)  ; 4
+        (  433.07    56.46   -68.02     0.58)  ; 5
+        (  433.07    53.93   -68.22     0.58)  ; 6
+        (  431.61    50.45   -68.67     0.58)  ; 7
+        (  430.15    47.92   -69.80     0.58)  ; 8
+        (  428.69    45.40   -72.80     0.58)  ; 9
+        (  428.40    42.87   -74.42     0.58)  ; 10
+        (  428.40    39.39   -77.47     0.58)  ; 11
+        (  427.53    37.81   -79.38     0.58)  ; 12
+        (  426.36    34.97   -79.50     0.58)  ; 13
+        (  426.36    33.07   -80.05     0.58)  ; 14
+        (  426.04    32.73   -75.25     0.58)  ; 15
+        (
+          (  426.07    30.23   -80.77     0.58)  ; 1, R-1-1-1-1
+          (  425.48    26.75   -80.97     0.58)  ; 2
+          (  424.61    23.28   -81.20     0.58)  ; 3
+          (  423.73    20.43   -81.80     0.58)  ; 4
+          (  421.98    16.64   -82.00     0.58)  ; 5
+          (  421.98    13.80   -82.22     0.58)  ; 6
+          (  421.98    10.32   -82.28     0.58)  ; 7
+          (  421.98     8.74   -82.45     0.58)  ; 8
+          (  422.27     5.26   -82.57     0.58)  ; 9
+          (  423.44     2.42   -82.60     0.58)  ; 10
+          (  425.48    -0.11   -82.92     0.58)  ; 11
+          (  426.94    -2.32   -83.32     0.58)  ; 12
+          (  428.11    -4.85   -84.03     0.58)  ; 13
+          (  429.57    -8.01   -84.22     0.58)  ; 14
+          (  430.44   -11.48   -84.72     0.58)  ; 15
+          (  431.61   -14.39   -84.95     0.58)  ; 16
+          (  432.78   -17.87   -85.25     0.58)  ; 17
+          (  433.65   -20.39   -86.07     0.58)  ; 18
+          (  434.24   -23.87   -86.75     0.58)  ; 19
+          (  434.82   -26.08   -90.22     0.58)  ; 20
+          (  435.11   -29.24   -91.03     0.58)  ; 21
+          (  435.99   -31.45   -91.90     0.58)  ; 22
+          (  436.86   -33.67   -93.82     0.58)  ; 23
+          (  438.32   -35.25   -96.47     0.29)  ; 24
+          (  438.32   -36.19   -96.72     0.29)  ; 25
+          (  437.16   -38.41   -97.10     0.29)  ; 26
+          (  436.28   -41.25  -100.20     0.29)  ; 27
+          (  435.70   -44.10  -102.57     0.29)  ; 28
+          (  435.41   -46.62  -103.00     0.29)  ; 29
+          (  434.82   -49.47  -103.20     0.29)  ; 30
+          (  434.53   -51.36  -104.95     0.29)  ; 31
+           Normal
+        |
+          (  424.87    31.15   -80.92     0.88)  ; 1, R-1-1-1-2
+          (  423.70    28.31   -83.82     0.88)  ; 2
+          (  422.54    25.46   -89.27     0.88)  ; 3
+          (  421.08    21.99   -90.50     0.88)  ; 4
+          (  419.04    17.56   -91.38     0.88)  ; 5
+          (  418.16    15.03   -95.18     0.88)  ; 6
+          (  416.99    11.56   -95.97     0.88)  ; 7
+          (  415.53     7.45  -100.37     0.88)  ; 8
+          (  413.78     3.66  -104.30     0.88)  ; 9
+          (  412.32     1.45  -106.93     0.88)  ; 10
+          (  412.32    -0.13  -109.35     0.88)  ; 11
+          (  413.49    -2.35  -109.38     0.88)  ; 12
+          (  415.53    -4.87  -110.77     0.88)  ; 13
+          (  416.12    -6.77  -113.42     0.88)  ; 14
+          (  417.28    -8.98  -116.77     0.88)  ; 15
+          (  418.45   -10.88  -121.27     0.88)  ; 16
+          (  421.08   -11.83  -125.57     0.88)  ; 17
+          (  423.41   -13.09  -126.77     0.58)  ; 18
+          (  425.46   -15.62  -130.15     0.58)  ; 19
+          (  427.79   -17.83  -131.93     0.58)  ; 20
+          (  428.37   -19.09  -134.32     0.58)  ; 21
+           High
+        )  ;  End of split
+      |
+        (  428.72    68.86   -61.88     0.58)  ; 1, R-1-1-2
+        (  426.97    66.65   -61.92     0.58)  ; 2
+        (  423.76    65.07   -62.33     0.58)  ; 3
+        (  420.84    62.54   -63.33     0.58)  ; 4
+        (  419.09    60.33   -63.58     0.58)  ; 5
+        (  419.09    58.43   -63.85     0.58)  ; 6
+        (  418.80    56.22   -64.47     0.58)  ; 7
+        (  419.09    55.91   -65.90     0.58)  ; 8
+        (  417.31    54.94   -66.17     0.58)  ; 9
+        (  415.27    53.99   -66.92     0.58)  ; 10
+        (  413.52    53.04   -68.53     0.58)  ; 11
+        (  412.35    51.46   -68.93     0.58)  ; 12
+        (  410.89    48.94   -69.38     0.58)  ; 13
+        (  409.14    47.36   -69.72     0.58)  ; 14
+        (  408.56    45.78   -72.70     0.58)  ; 15
+        (  407.68    43.56   -72.85     0.58)  ; 16
+        (  405.35    41.35   -73.02     0.58)  ; 17
+        (  404.18    40.09   -72.80     0.58)  ; 18
+        (  403.01    38.19   -70.03     0.58)  ; 19
+        (  400.68    35.98   -65.88     0.58)  ; 20
+        (  398.93    33.45   -64.75     0.58)  ; 21
+        (  397.18    31.56   -65.10     0.58)  ; 22
+        (  395.72    31.56   -65.38     0.58)  ; 23
+        (  393.38    30.92   -65.63     0.58)  ; 24
+        (  391.63    30.61   -65.90     0.58)  ; 25
+        (  390.76    29.66   -65.92     0.58)  ; 26
+        (  390.17    27.13   -66.03     0.58)  ; 27
+        (  388.71    24.92   -67.30     0.58)  ; 28
+        (  386.67    22.39   -69.27     0.58)  ; 29
+        (  384.92    20.50   -72.38     0.58)  ; 30
+        (  382.88    17.97   -74.20     0.58)  ; 31
+        (  380.54    15.69   -74.53     0.58)  ; 32
+        (  379.38    14.43   -74.70     0.58)  ; 33
+        (  377.33    12.85   -74.90     0.58)  ; 34
+        (  375.29    10.64   -75.15     0.58)  ; 35
+        (  374.71     9.06   -73.07     0.58)  ; 36
+        (  374.42     6.21   -71.52     0.58)  ; 37
+        (  373.25     4.32   -71.28     0.58)  ; 38
+        (  371.79     2.74   -71.13     0.58)  ; 39
+        (  370.91     0.84   -71.38     0.58)  ; 40
+        (  370.33    -0.74   -72.13     0.58)  ; 41
+        (  367.70    -2.32   -73.63     0.58)  ; 42
+        (  365.66    -4.22   -73.95     0.58)  ; 43
+        (  364.79    -5.80   -74.13     0.58)  ; 44
+        (  364.79    -8.01   -74.60     0.29)  ; 45
+        (  363.03    -9.59   -74.60     0.29)  ; 46
+        (  361.58    -9.59   -74.88     0.29)  ; 47
+        (  360.70   -10.22   -75.05     0.29)  ; 48
+        (  360.70   -11.17   -75.07     0.29)  ; 49
+        (  359.82   -12.12   -75.15     0.29)  ; 50
+        (  358.07   -13.70   -75.78     0.29)  ; 51
+        (  356.32   -15.91   -76.68     0.29)  ; 52
+        (  355.45   -18.44   -77.93     0.29)  ; 53
+        (  353.11   -20.02   -78.15     0.29)  ; 54
+        (  352.24   -21.60   -78.45     0.29)  ; 55
+        (  351.07   -22.86   -78.82     0.29)  ; 56
+        (  350.20   -24.50   -80.30     0.29)  ; 57
+        (  349.32   -26.08   -80.47     0.29)  ; 58
+        (  347.57   -27.35   -81.05     0.29)  ; 59
+        (  345.23   -28.93   -81.43     0.29)  ; 60
+        (  344.94   -30.51   -81.58     0.29)  ; 61
+        (  344.36   -32.40   -81.93     0.29)  ; 62
+        (  342.61   -33.35   -82.07     0.29)  ; 63
+        (  340.86   -34.93   -82.72     0.29)  ; 64
+        (  338.52   -35.25   -83.67     0.29)  ; 65
+        (  336.19   -36.19   -83.97     0.29)  ; 66
+        (  334.73   -38.09   -84.50     0.29)  ; 67
+        (  333.27   -40.30   -84.90     0.29)  ; 68
+        (  331.81   -42.20   -85.50     0.29)  ; 69
+        (  329.77   -43.46   -86.32     0.29)  ; 70
+         Normal
+      )  ;  End of split
+    |
+      (  439.15   102.10   -44.47     1.46)  ; 1, R-1-2
+      (  437.69   104.31   -46.22     1.46)  ; 2
+      (  435.65   105.26   -46.88     1.46)  ; 3
+      (  433.61   105.57   -47.47     1.46)  ; 4
+      (  431.56   105.26   -49.17     1.46)  ; 5
+      (  430.11   104.62   -53.02     1.46)  ; 6
+      (  428.94   105.89   -56.03     1.46)  ; 7
+      (
+        (  428.91   107.19   -57.77     0.88)  ; 1, R-1-2-1
+        (  428.04   108.77   -58.45     0.88)  ; 2
+        (  427.16   108.77   -58.92     0.88)  ; 3
+        (  426.58   108.46   -59.17     0.88)  ; 4
+        (  427.16   107.19   -60.07     0.88)  ; 5
+        (  427.45   106.56   -61.80     0.88)  ; 6
+        (  428.33   106.56   -64.10     0.88)  ; 7
+        (  428.04   107.51   -66.15     0.88)  ; 8
+        (  427.75   108.46   -66.63     0.88)  ; 9
+        (  428.91   108.77   -67.28     0.88)  ; 10
+        (  429.50   107.19   -67.38     0.88)  ; 11
+        (  429.50   106.24   -68.50     0.88)  ; 12
+        (  428.33   105.61   -68.95     0.88)  ; 13
+        (  427.75   106.24   -69.42     0.88)  ; 14
+        (  426.58   107.19   -70.45     0.88)  ; 15
+        (  426.58   107.51   -71.57     0.88)  ; 16
+        (  426.00   108.14   -74.92     0.88)  ; 17
+        (  426.29   108.77   -77.10     0.88)  ; 18
+        (
+          (  426.87   111.93   -83.88     0.88)  ; 1, R-1-2-1-1
+          (  427.45   115.09   -84.45     0.88)  ; 2
+          (  429.21   118.57   -84.92     0.88)  ; 3
+          (  430.37   122.36   -85.33     0.88)  ; 4
+          (  431.54   126.78   -85.92     0.88)  ; 5
+          (  432.71   129.94   -86.82     0.88)  ; 6
+          (  434.75   135.00   -88.63     0.88)  ; 7
+          (  435.33   138.16   -91.90     0.88)  ; 8
+          (  435.63   143.22   -95.92     0.88)  ; 9
+          (  436.21   147.32   -99.22     0.88)  ; 10
+          (  435.63   151.43  -101.57     0.88)  ; 11
+          (  434.27   153.68  -103.05     0.88)  ; 12
+          (  432.51   156.84  -106.62     0.88)  ; 13
+          (  430.76   160.00  -109.55     0.88)  ; 14
+          (  429.89   163.79  -111.65     0.88)  ; 15
+          (  428.43   166.63  -111.80     0.88)  ; 16
+          (  426.39   169.79  -111.45     0.88)  ; 17
+          (  424.64   171.69  -109.85     0.88)  ; 18
+          (  422.88   174.53  -109.57     0.88)  ; 19
+          (  420.55   176.74  -109.75     0.88)  ; 20
+          (  419.97   178.96  -110.07     0.88)  ; 21
+          (  418.80   181.48  -110.35     0.88)  ; 22
+          (  417.34   183.38  -110.57     0.88)  ; 23
+          (  414.71   186.54  -110.80     0.88)  ; 24
+          (  413.55   189.76  -111.17     0.88)  ; 25
+          (  412.38   192.92  -112.32     0.88)  ; 26
+          (  411.80   195.14  -114.57     0.88)  ; 27
+           Incomplete
+        |
+          (  426.00   106.88   -81.05     0.88)  ; 1, R-1-2-1-2
+          (  424.54   106.88   -84.43     0.88)  ; 2
+          (  423.95   106.88   -86.62     0.88)  ; 3
+          (  421.91   106.56   -89.60     0.88)  ; 4
+          (  420.16   106.24   -92.78     0.88)  ; 5
+          (  418.41   104.98   -95.32     0.88)  ; 6
+          (  416.37   104.35   -98.67     0.88)  ; 7
+          (  414.03   104.03  -101.75     0.88)  ; 8
+          (  412.28   103.40  -102.22     0.88)  ; 9
+          (  408.49   101.82  -103.90     0.88)  ; 10
+          (  405.28   100.87  -105.92     0.88)  ; 11
+          (  402.07   100.24  -108.13     0.88)  ; 12
+          (  400.02    98.34  -112.22     0.88)  ; 13
+          (  397.40    97.08  -114.22     0.88)  ; 14
+          (  393.90    95.50  -115.05     0.88)  ; 15
+          (  390.69    94.87  -115.37     0.88)  ; 16
+          (  384.56    94.24  -116.13     0.88)  ; 17
+          (  380.76    93.60  -119.17     0.88)  ; 18
+          (  378.43    92.97  -121.62     0.88)  ; 19
+          (  375.22    91.71  -121.88     0.88)  ; 20
+          (  372.89    90.13  -123.05     0.88)  ; 21
+          (  371.72    90.13  -124.32     0.58)  ; 22
+          (  368.51    90.13  -124.43     0.58)  ; 23
+          (  364.71    89.81  -125.72     0.58)  ; 24
+          (  360.34    89.18  -126.53     0.58)  ; 25
+          (  356.25    87.92  -128.43     0.58)  ; 26
+          (  353.33    87.92  -130.88     0.58)  ; 27
+          (  351.87    87.60  -134.32     0.58)  ; 28
+          (  349.54    86.65  -134.57     0.58)  ; 29
+          (  346.62    86.02  -137.92     0.58)  ; 30
+          (  343.70    84.12  -139.38     0.58)  ; 31
+          (  340.79    83.18  -140.57     0.58)  ; 32
+          (  339.71    83.49  -141.52     0.58)  ; 33
+          (  338.25    82.54  -142.23     0.58)  ; 34
+          (  335.62    81.60  -142.95     0.58)  ; 35
+          (  332.41    81.60  -144.32     0.29)  ; 36
+          (  328.62    81.28  -144.85     0.29)  ; 37
+          (  324.53    80.33  -145.77     0.29)  ; 38
+          (  320.15    80.65  -146.57     0.29)  ; 39
+          (  315.49    80.02  -147.40     0.29)  ; 40
+           High
+        )  ;  End of split
+      |
+        (  427.19   107.47   -55.63     0.88)  ; 1, R-1-2-2
+        (  426.31   108.10   -56.05     0.88)  ; 2
+        (  425.44   108.10   -56.22     0.88)  ; 3
+        (  423.39   107.47   -56.32     0.88)  ; 4
+        (  420.48   106.84   -56.82     0.88)  ; 5
+        (  417.56   106.84   -56.95     0.88)  ; 6
+        (  416.10   108.10   -57.02     0.88)  ; 7
+        (
+          (  414.24   109.09   -56.97     0.58)  ; 1, R-1-2-2-1
+          (  412.78   109.09   -55.90     0.58)  ; 2
+          (  411.32   110.04   -54.45     0.58)  ; 3
+          (  410.15   110.98   -51.15     0.58)  ; 4
+          (  408.98   112.25   -48.75     0.58)  ; 5
+          (  408.40   113.51   -47.92     0.58)  ; 6
+          (  406.94   113.51   -46.65     0.58)  ; 7
+          (  405.19   113.83   -46.38     0.58)  ; 8
+          (  404.61   114.46   -46.38     0.58)  ; 9
+          (  402.56   115.72   -45.83     0.58)  ; 10
+          (  401.10   116.99   -44.50     0.58)  ; 11
+          (  399.94   117.62   -44.40     0.58)  ; 12
+          (  397.60   118.25   -43.97     0.58)  ; 13
+          (  396.14   119.83   -42.60     0.58)  ; 14
+          (  395.27   120.15   -40.97     0.58)  ; 15
+          (  394.10   120.78   -40.85     0.58)  ; 16
+          (  392.35   120.78   -38.90     0.58)  ; 17
+          (  389.43   120.15   -37.25     0.58)  ; 18
+          (  387.10   120.78   -37.00     0.58)  ; 19
+          (  384.47   121.73   -35.90     0.58)  ; 20
+          (  383.30   122.99   -35.22     0.58)  ; 21
+          (  381.26   123.94   -35.22     0.58)  ; 22
+          (  379.80   127.42   -35.10     0.58)  ; 23
+          (  378.34   129.31   -34.90     0.58)  ; 24
+          (  376.88   129.94   -34.88     0.58)  ; 25
+          (  375.13   129.31   -36.95     0.58)  ; 26
+          (  373.38   128.36   -38.75     0.58)  ; 27
+          (  371.05   129.31   -39.08     0.58)  ; 28
+          (  367.84   131.52   -39.82     0.58)  ; 29
+          (  365.50   132.47   -40.13     0.58)  ; 30
+          (  362.58   133.42   -39.35     0.58)  ; 31
+          (  360.83   133.42   -39.22     0.58)  ; 32
+          (  360.25   132.47   -39.08     0.58)  ; 33
+          (  358.79   132.16   -39.08     0.58)  ; 34
+          (  356.75   133.10   -38.85     0.58)  ; 35
+          (  354.12   133.74   -38.67     0.58)  ; 36
+          (  352.66   132.79   -37.65     0.58)  ; 37
+          (  349.45   132.47   -36.45     0.58)  ; 38
+          (  347.70   133.10   -33.53     0.58)  ; 39
+          (  346.24   134.68   -33.42     0.58)  ; 40
+          (  345.16   134.68   -33.13     0.58)  ; 41
+          (  343.12   133.74   -32.90     0.58)  ; 42
+          (  341.66   132.47   -32.65     0.58)  ; 43
+          (  339.62   131.21   -32.45     0.58)  ; 44
+          (  337.87   130.58   -32.30     0.58)  ; 45
+          (  337.28   131.21   -32.13     0.58)  ; 46
+          (  335.53   132.16   -31.77     0.58)  ; 47
+          (  333.78   131.52   -31.45     0.58)  ; 48
+          (  331.45   131.21   -30.60     0.58)  ; 49
+          (  329.11   132.16   -28.92     0.29)  ; 50
+          (  327.07   133.10   -28.30     0.29)  ; 51
+          (  324.44   133.42   -28.07     0.29)  ; 52
+          (  322.11   133.42   -27.15     0.29)  ; 53
+          (  321.53   133.10   -27.15     0.29)  ; 54
+          (  321.82   131.52   -26.63     0.29)  ; 55
+          (  320.65   130.89   -25.73     0.29)  ; 56
+          (  318.02   130.89   -24.97     0.29)  ; 57
+          (  316.27   130.89   -24.13     0.29)  ; 58
+          (  315.11   130.58   -23.88     0.29)  ; 59
+          (  313.36   130.58   -23.37     0.29)  ; 60
+          (  311.31   129.94   -22.38     0.29)  ; 61
+          (  309.85   128.36   -20.83     0.29)  ; 62
+          (  308.98   127.42   -19.42     0.29)  ; 63
+          (  307.52   126.78   -18.82     0.29)  ; 64
+          (  306.06   127.73   -19.38     0.29)  ; 65
+          (  305.77   129.00   -20.70     0.29)  ; 66
+          (  304.89   129.31   -23.88     0.29)  ; 67
+          (  301.97   129.94   -26.10     0.29)  ; 68
+          (  298.85   130.58   -25.77     0.29)  ; 69
+          (  297.39   130.58   -25.65     0.29)  ; 70
+          (  295.64   130.26   -25.63     0.29)  ; 71
+          (  293.60   129.63   -25.23     0.29)  ; 72
+          (  290.97   129.31   -24.20     0.29)  ; 73
+          (  289.51   129.31   -22.55     0.29)  ; 74
+          (  288.93   128.05   -21.58     0.29)  ; 75
+          (  288.35   126.78   -21.32     0.29)  ; 76
+          (  287.47   126.47   -21.18     0.29)  ; 77
+           Normal
+        |
+          (  414.64   108.73   -59.45     0.88)  ; 1, R-1-2-2-2
+          (  412.60   109.36   -62.50     0.88)  ; 2
+          (  409.09   109.36   -62.97     0.88)  ; 3
+          (  406.18   109.05   -58.95     0.88)  ; 4
+          (  402.67   107.78   -58.65     0.88)  ; 5
+          (  400.63   106.84   -57.65     0.88)  ; 6
+          (  398.88   106.84   -56.75     0.88)  ; 7
+          (  398.01   107.78   -57.02     0.88)  ; 8
+          (  396.55   108.42   -58.60     0.88)  ; 9
+          (  394.21   108.10   -61.70     0.88)  ; 10
+          (  391.59   107.78   -64.30     0.88)  ; 11
+          (  390.13   106.84   -64.38     0.88)  ; 12
+          (  387.79   105.89   -64.97     0.88)  ; 13
+          (  386.33   104.31   -65.72     0.88)  ; 14
+          (  384.87   103.68   -65.88     0.88)  ; 15
+          (  383.41   103.99   -66.77     0.88)  ; 16
+          (  382.83   104.94   -66.77     0.88)  ; 17
+          (  381.08   106.20   -67.03     0.88)  ; 18
+          (  379.62   107.78   -67.15     0.88)  ; 19
+          (  377.29   108.42   -67.30     0.88)  ; 20
+          (  374.66   109.36   -68.67     0.88)  ; 21
+          (  373.21   110.04   -69.45     0.88)  ; 22
+          (  370.87   111.93   -71.25     0.88)  ; 23
+          (  368.25   113.20   -71.30     0.88)  ; 24
+          (  366.79   115.09   -71.50     0.88)  ; 25
+          (  365.33   116.99   -73.32     0.88)  ; 26
+          (  363.58   117.94   -76.43     0.88)  ; 27
+          (  361.24   118.57   -77.85     0.88)  ; 28
+          (  357.45   119.20   -78.72     0.88)  ; 29
+          (  354.82   120.15   -80.13     0.88)  ; 30
+          (  351.90   120.46   -80.88     0.88)  ; 31
+          (  348.40   121.10   -81.58     0.88)  ; 32
+          (  346.07   120.46   -82.17     0.88)  ; 33
+          (  343.15   119.83   -82.70     0.88)  ; 34
+          (  338.48   119.83   -83.10     0.88)  ; 35
+          (  335.27   120.78   -83.47     0.88)  ; 36
+          (  334.10   121.10   -83.72     0.88)  ; 37
+          (  332.64   120.78   -83.72     0.88)  ; 38
+          (  330.02   119.83   -84.40     0.88)  ; 39
+          (  327.10   119.83   -84.63     0.88)  ; 40
+          (  324.18   120.15   -86.20     0.88)  ; 41
+          (  322.43   118.88   -86.55     0.58)  ; 42
+          (  321.26   118.88   -86.75     0.58)  ; 43
+          (  319.80   119.52   -87.07     0.58)  ; 44
+          (  318.05   119.52   -87.07     0.58)  ; 45
+          (  316.30   119.20   -87.20     0.58)  ; 46
+          (  314.84   118.88   -87.50     0.58)  ; 47
+          (  312.51   119.52   -88.00     0.58)  ; 48
+          (  310.47   119.52   -90.05     0.58)  ; 49
+          (  308.72   119.52   -91.27     0.58)  ; 50
+          (  307.84   120.78   -93.50     0.58)  ; 51
+          (  305.51   120.46   -97.50     0.58)  ; 52
+          (  303.17   120.78   -97.68     0.29)  ; 53
+          (  301.13   120.78   -97.97     0.29)  ; 54
+          (  299.67   120.46   -97.38     0.29)  ; 55
+          (  297.92   119.20   -96.50     0.29)  ; 56
+          (  296.75   117.30   -95.22     0.29)  ; 57
+          (  293.83   116.36   -95.65     0.29)  ; 58
+          (  292.84   114.78   -97.25     0.29)  ; 59
+          (  290.51   114.14   -99.03     0.29)  ; 60
+          (  289.63   112.88   -99.55     0.29)  ; 61
+          (  288.17   111.93  -101.65     0.29)  ; 62
+          (  286.13   112.25  -101.98     0.29)  ; 63
+          (  284.38   112.25  -103.50     0.29)  ; 64
+          (  282.04   111.30  -105.20     0.29)  ; 65
+          (  280.58   111.30  -107.50     0.29)  ; 66
+          (  279.71   111.30  -107.68     0.29)  ; 67
+          (  278.54   110.98  -108.63     0.29)  ; 68
+          (  277.08   110.98  -109.90     0.29)  ; 69
+          (  275.62   111.30  -110.57     0.29)  ; 70
+          (  274.46   110.35  -110.82     0.29)  ; 71
+          (  271.92   108.46  -110.40     0.29)  ; 72
+          (  270.75   107.51  -110.68     0.29)  ; 73
+          (  269.29   107.19  -110.85     0.29)  ; 74
+          (  266.37   106.56  -111.27     0.29)  ; 75
+          (  263.16   105.93  -112.02     0.29)  ; 76
+          (  260.83   105.30  -112.75     0.29)  ; 77
+          (  258.49   104.98  -114.20     0.29)  ; 78
+          (  257.03   104.03  -116.27     0.29)  ; 79
+          (  255.28   101.82  -116.88     0.29)  ; 80
+          (  253.53   101.50  -117.47     0.29)  ; 81
+           High
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  |
+    (  445.95    99.67   -33.90     0.88)  ; 1, R-2
+    (  447.12    97.77   -34.05     0.88)  ; 2
+    (  447.12    97.14   -34.08     0.88)  ; 3
+    (  447.41    95.88   -34.08     0.88)  ; 4
+    (  446.54    94.61   -34.25     0.88)  ; 5
+    (  446.24    93.35   -35.00     0.88)  ; 6
+    (  445.66    91.77   -35.55     0.88)  ; 7
+    (  445.37    90.82   -36.88     0.88)  ; 8
+    (  445.66    89.87   -38.03     0.88)  ; 9
+    (  446.24    89.55   -39.05     0.88)  ; 10
+
+    (Cross
+      (Color Orange)
+      (Name "Marker 3")
+      (  447.70    94.61   -34.25     0.88)  ; 1
+      (  447.99    97.46   -34.25     0.88)  ; 2
+    )  ;  End of markers
+    (
+      (  445.66    87.66   -39.05     0.88)  ; 1, R-2-1
+      (  445.37    85.13   -39.30     0.88)  ; 2
+      (  444.49    84.18   -39.63     0.88)  ; 3
+      (  443.62    82.29   -39.75     0.88)  ; 4
+      (  443.33    80.71   -40.13     0.88)  ; 5
+      (  443.62    79.76   -40.68     0.88)  ; 6
+      (  443.33    77.55   -40.85     0.88)  ; 7
+      (  442.16    76.28   -40.85     0.88)  ; 8
+      (  441.28    74.70   -40.90     0.88)  ; 9
+      (  440.41    72.49   -41.00     0.88)  ; 10
+      (  439.53    70.28   -41.47     0.88)  ; 11
+      (  439.82    68.07   -42.85     0.88)  ; 12
+      (  439.53    67.12   -43.55     0.88)  ; 13
+      (  438.66    66.17   -43.55     0.88)  ; 14
+      (  437.78    65.22   -44.58     0.88)  ; 15
+      (  437.20    63.96   -45.05     0.88)  ; 16
+      (  435.74    62.38   -45.55     0.88)  ; 17
+      (  434.57    60.48   -45.57     0.88)  ; 18
+      (  433.40    57.64   -46.85     0.88)  ; 19
+      (  431.65    55.74   -48.97     0.88)  ; 20
+      (  430.78    53.21   -49.22     0.88)  ; 21
+      (  429.61    51.63   -50.32     0.88)  ; 22
+      (  428.73    49.74   -50.70     0.88)  ; 23
+      (  427.28    48.16   -50.70     0.88)  ; 24
+      (  426.69    46.58   -51.00     0.88)  ; 25
+      (  426.69    44.68   -51.63     0.88)  ; 26
+      (  425.23    43.10   -51.93     0.88)  ; 27
+      (  424.36    40.89   -53.22     0.88)  ; 28
+      (  424.65    40.26   -53.22     0.88)  ; 29
+      (  424.36    38.05   -55.92     0.88)  ; 30
+      (  423.19    35.20   -57.15     0.88)  ; 31
+      (  422.02    33.31   -58.40     0.88)  ; 32
+      (  421.15    31.09   -58.40     0.88)  ; 33
+      (  420.79    29.41   -59.67     0.88)  ; 34
+      (  420.50    28.78   -59.67     0.88)  ; 35
+      (  419.91    27.20   -61.05     0.88)  ; 36
+      (  418.74    26.57   -66.35     0.88)  ; 37
+      (  417.58    24.36   -68.65     0.58)  ; 38
+      (  416.99    23.09   -69.27     0.58)  ; 39
+      (  417.29    22.14   -69.27     0.58)  ; 40
+      (  417.87    20.56   -70.80     0.58)  ; 41
+      (  416.99    20.25   -73.82     0.58)  ; 42
+      (  415.83    19.62   -73.82     0.58)  ; 43
+      (  414.37    19.93   -73.82     0.58)  ; 44
+      (  413.20    19.30   -77.10     0.58)  ; 45
+      (  413.20    17.72   -77.10     0.58)  ; 46
+      (  412.03    15.82   -78.82     0.58)  ; 47
+      (  412.03    13.61   -80.22     0.58)  ; 48
+      (  410.87    10.77   -81.38     0.58)  ; 49
+      (  409.70     8.56   -85.02     0.58)  ; 50
+      (  408.82     5.71   -86.50     0.58)  ; 51
+      (  408.53     4.76   -86.50     0.58)  ; 52
+      (  407.36     0.97   -88.65     0.58)  ; 53
+      (  406.78    -1.87   -88.88     0.58)  ; 54
+      (  406.20    -4.40   -88.88     0.58)  ; 55
+      (  404.83    -6.99   -88.25     0.58)  ; 56
+      (  402.49    -8.89   -88.93     0.58)  ; 57
+      (  400.16   -11.10   -88.93     0.58)  ; 58
+      (  398.70   -13.63   -89.43     0.58)  ; 59
+      (  397.82   -15.21   -90.05     0.58)  ; 60
+      (  396.36   -17.74   -91.32     0.58)  ; 61
+      (  394.03   -19.63   -92.07     0.58)  ; 62
+      (  391.40   -22.48   -94.07     0.58)  ; 63
+      (  389.07   -24.37   -94.55     0.58)  ; 64
+      (  387.02   -27.53   -95.77     0.58)  ; 65
+      (  384.69   -29.74   -96.15     0.58)  ; 66
+      (  381.77   -32.90   -97.68     0.58)  ; 67
+      (  379.73   -34.48  -104.52     0.58)  ; 68
+      (  376.81   -36.70  -104.52     0.58)  ; 69
+      (  375.64   -39.22  -105.92     0.58)  ; 70
+      (  374.18   -41.12  -108.00     0.29)  ; 71
+      (  373.60   -44.60  -108.00     0.29)  ; 72
+      (  374.48   -45.54  -109.57     0.29)  ; 73
+      (  374.48   -46.18  -109.57     0.29)  ; 74
+      (  374.48   -47.12  -109.57     0.29)  ; 75
+      (  374.48   -49.34  -110.45     0.29)  ; 76
+      (  374.77   -51.55  -110.57     0.29)  ; 77
+
+      (Cross
+        (Color Orange)
+        (Name "Marker 3")
+        (  444.49    85.45   -39.63     0.88)  ; 1
+        (  443.03    81.34   -40.13     0.88)  ; 2
+        (  443.91    77.55   -40.85     0.88)  ; 3
+        (  442.74    78.18   -40.85     0.88)  ; 4
+        (  441.28    76.28   -40.90     0.88)  ; 5
+        (  441.57    75.65   -40.90     0.88)  ; 6
+        (  440.41    75.02   -40.90     0.88)  ; 7
+        (  442.16    74.39   -40.90     0.88)  ; 8
+        (  441.57    73.44   -40.90     0.88)  ; 9
+        (  440.41    73.12   -40.90     0.88)  ; 10
+        (  439.24    70.28   -41.47     0.88)  ; 11
+        (  440.70    70.59   -41.47     0.88)  ; 12
+        (  438.95    68.70   -42.00     0.88)  ; 13
+        (  440.70    67.43   -42.85     0.88)  ; 14
+        (  439.82    66.17   -43.55     0.88)  ; 15
+        (  438.66    64.91   -45.05     0.88)  ; 16
+        (  437.78    63.33   -45.05     0.88)  ; 17
+        (  438.07    66.17   -45.05     0.88)  ; 18
+        (  437.49    64.59   -45.05     0.88)  ; 19
+        (  435.15    62.38   -45.55     0.88)  ; 20
+        (  433.70    60.48   -45.55     0.88)  ; 21
+        (  435.15    59.53   -45.55     0.88)  ; 22
+        (  435.74    59.53   -45.55     0.88)  ; 23
+        (  436.32    61.11   -45.55     0.88)  ; 24
+        (  437.49    62.38   -45.55     0.88)  ; 25
+        (  432.82    58.59   -46.85     0.88)  ; 26
+        (  431.07    55.74   -49.22     0.88)  ; 27
+        (  430.49    54.48   -49.22     0.88)  ; 28
+        (  432.24    53.85   -49.22     0.88)  ; 29
+        (  432.53    55.43   -49.22     0.88)  ; 30
+        (  431.36    52.27   -49.22     0.88)  ; 31
+        (  430.78    50.37   -50.70     0.88)  ; 32
+        (  429.03    51.00   -50.70     0.88)  ; 33
+        (  428.15    51.00   -50.70     0.88)  ; 34
+        (  427.86    49.74   -50.70     0.88)  ; 35
+        (  429.03    49.11   -50.70     0.88)  ; 36
+        (  426.69    47.84   -50.77     0.88)  ; 37
+        (  428.44    47.53   -50.77     0.88)  ; 38
+        (  427.86    46.26   -51.63     0.88)  ; 39
+        (  426.98    43.10   -51.93     0.88)  ; 40
+        (  426.69    42.15   -51.93     0.88)  ; 41
+        (  424.36    43.10   -51.93     0.88)  ; 42
+        (  424.94    44.05   -51.93     0.88)  ; 43
+        (  424.36    40.26   -53.22     0.88)  ; 44
+        (  423.77    39.63   -53.22     0.88)  ; 45
+        (  425.82    38.99   -55.92     0.88)  ; 46
+        (  423.48    38.36   -57.15     0.88)  ; 47
+        (  425.23    37.73   -57.15     0.88)  ; 48
+        (  424.94    36.47   -57.15     0.88)  ; 49
+        (  424.65    35.52   -57.15     0.88)  ; 50
+        (  422.31    35.52   -58.40     0.88)  ; 51
+        (  421.44    33.62   -58.40     0.88)  ; 52
+        (  420.56    32.36   -58.40     0.88)  ; 53
+        (  423.19    32.36   -58.40     0.88)  ; 54
+        (  423.77    34.25   -58.40     0.88)  ; 55
+        (  421.95    30.04   -59.67     0.88)  ; 56
+        (  421.95    29.10   -59.67     0.88)  ; 57
+        (  419.91    29.10   -59.67     0.88)  ; 58
+        (  421.08    27.20   -61.05     0.88)  ; 59
+        (  421.08    28.15   -61.05     0.88)  ; 60
+        (  419.04    28.15   -61.05     0.88)  ; 61
+        (  420.79    27.20   -63.75     0.88)  ; 62
+        (  416.99    24.99   -68.65     0.58)  ; 63
+        (  418.74    24.67   -68.65     0.58)  ; 64
+        (  416.99    24.04   -69.27     0.58)  ; 65
+        (  416.12    23.41   -69.27     0.58)  ; 66
+        (  417.87    22.46   -69.27     0.58)  ; 67
+        (  416.41    22.46   -69.27     0.58)  ; 68
+        (  418.16    23.09   -69.27     0.58)  ; 69
+        (  416.41    21.83   -70.80     0.58)  ; 70
+        (  416.70    21.51   -70.80     0.58)  ; 71
+        (  417.29    20.88   -70.80     0.58)  ; 72
+        (  418.45    22.14   -70.80     0.58)  ; 73
+        (  418.45    21.20   -70.80     0.58)  ; 74
+        (  418.45    19.30   -73.82     0.58)  ; 75
+        (  416.41    19.93   -73.82     0.58)  ; 76
+        (  415.24    20.56   -73.82     0.58)  ; 77
+        (  414.37    19.62   -73.82     0.58)  ; 78
+        (  412.03    18.04   -77.10     0.58)  ; 79
+        (  412.62    19.62   -77.10     0.58)  ; 80
+        (  414.37    20.88   -77.10     0.58)  ; 81
+        (  413.78    17.72   -77.10     0.58)  ; 82
+        (  411.16    14.24   -80.22     0.58)  ; 83
+        (  411.16    15.19   -80.22     0.58)  ; 84
+        (  413.20    14.24   -80.22     0.58)  ; 85
+        (  413.20    15.19   -80.22     0.58)  ; 86
+        (  410.87    12.35   -81.38     0.58)  ; 87
+        (  411.74    11.08   -81.38     0.58)  ; 88
+        (  412.32    11.72   -81.38     0.58)  ; 89
+        (  409.99     6.98   -86.50     0.58)  ; 90
+        (  409.41     8.87   -86.50     0.58)  ; 91
+        (  409.11     5.08   -86.50     0.58)  ; 92
+        (  408.24     2.24   -88.65     0.58)  ; 93
+        (  406.49     1.60   -88.67     0.58)  ; 94
+        (  406.49     2.87   -88.67     0.58)  ; 95
+        (  407.95    -2.19   -88.88     0.58)  ; 96
+        (  405.91    -1.56   -88.88     0.58)  ; 97
+        (  407.16    -4.15   -88.25     0.58)  ; 98
+        (  406.58    -5.73   -88.25     0.58)  ; 99
+        (  401.62   -10.78   -88.93     0.58)  ; 100
+        (  401.03    -9.52   -88.93     0.58)  ; 101
+        (  404.83    -8.57   -88.93     0.58)  ; 102
+        (  403.66    -7.62   -88.93     0.58)  ; 103
+        (  400.16   -12.36   -89.43     0.58)  ; 104
+        (  399.28   -11.42   -89.43     0.58)  ; 105
+        (  400.45   -13.00   -89.43     0.58)  ; 106
+        (  397.82   -13.00   -89.43     0.58)  ; 107
+        (  398.99   -14.89   -89.43     0.58)  ; 108
+        (  398.11   -16.79   -91.32     0.58)  ; 109
+        (  397.82   -16.79   -91.32     0.58)  ; 110
+        (  397.53   -17.10   -91.32     0.58)  ; 111
+        (  396.36   -16.47   -91.32     0.58)  ; 112
+        (  394.90   -18.05   -92.07     0.58)  ; 113
+        (  395.78   -19.63   -92.07     0.58)  ; 114
+        (  393.44   -19.63   -94.07     0.58)  ; 115
+        (  393.44   -20.90   -94.07     0.58)  ; 116
+        (  392.86   -21.84   -94.07     0.58)  ; 117
+        (  392.28   -22.16   -94.07     0.58)  ; 118
+        (  391.40   -22.16   -94.07     0.58)  ; 119
+        (  391.69   -20.58   -94.07     0.58)  ; 120
+        (  391.69   -22.16   -94.07     0.58)  ; 121
+        (  389.36   -23.42   -94.55     0.58)  ; 122
+        (  389.65   -25.00   -94.55     0.58)  ; 123
+        (  390.53   -24.37   -94.55     0.58)  ; 124
+        (  387.90   -27.85   -95.77     0.58)  ; 125
+        (  387.32   -25.64   -95.77     0.58)  ; 126
+        (  386.73   -29.43   -96.15     0.58)  ; 127
+        (  384.40   -29.43   -96.15     0.58)  ; 128
+        (  382.65   -30.69   -97.68     0.58)  ; 129
+        (  384.11   -31.32   -97.68     0.58)  ; 130
+        (  381.19   -33.22   -97.68     0.58)  ; 131
+        (  382.36   -32.90   -97.68     0.58)  ; 132
+        (  378.27   -37.01  -104.52     0.58)  ; 133
+        (  377.10   -35.12  -104.52     0.58)  ; 134
+        (  377.98   -34.80  -104.52     0.58)  ; 135
+        (  378.56   -34.48  -104.52     0.58)  ; 136
+        (  376.81   -37.64  -105.92     0.58)  ; 137
+        (  375.35   -37.64  -105.92     0.58)  ; 138
+        (  373.89   -40.80  -108.00     0.29)  ; 139
+        (  373.31   -42.70  -108.00     0.29)  ; 140
+        (  374.77   -43.65  -108.00     0.29)  ; 141
+        (  374.18   -45.23  -109.57     0.29)  ; 142
+        (  374.18   -46.49  -109.57     0.29)  ; 143
+        (  374.48   -47.76  -109.57     0.29)  ; 144
+        (  375.35   -47.12  -109.57     0.29)  ; 145
+        (  374.18   -49.65  -110.57     0.29)  ; 146
+        (  374.77   -50.92  -110.57     0.29)  ; 147
+      )  ;  End of markers
+       High
+    |
+      (  447.63    88.16   -41.45     0.88)  ; 1, R-2-2
+      (  447.34    86.89   -41.90     0.88)  ; 2
+      (  447.34    84.05   -42.57     0.88)  ; 3
+      (  447.34    81.84   -43.80     0.88)  ; 4
+      (  447.05    79.63   -46.22     0.88)  ; 5
+      (  447.05    78.99   -47.65     0.88)  ; 6
+      (  447.63    77.73   -47.75     0.88)  ; 7
+      (  449.09    76.47   -48.62     0.88)  ; 8
+      (  450.26    75.20   -50.60     0.88)  ; 9
+      (  450.55    73.62   -53.40     0.88)  ; 10
+      (  451.14    71.73   -55.57     0.88)  ; 11
+      (  450.55    70.15   -58.62     0.88)  ; 12
+      (  449.38    69.20   -61.12     0.88)  ; 13
+      (  448.51    68.57   -64.90     0.88)  ; 14
+      (  448.80    67.30   -65.05     0.88)  ; 15
+      (  448.80    64.46   -66.35     0.88)  ; 16
+      (  449.38    60.98   -70.38     0.88)  ; 17
+      (  449.38    58.14   -72.13     0.88)  ; 18
+      (  449.97    55.29   -74.88     0.88)  ; 19
+      (  450.26    51.82   -77.68     0.88)  ; 20
+      (  449.68    48.03   -80.10     0.88)  ; 21
+      (  450.55    44.87   -81.15     0.88)  ; 22
+      (  450.84    42.02   -82.63     0.88)  ; 23
+      (  451.43    39.11   -86.03     0.88)  ; 24
+      (  452.30    36.59   -91.20     0.88)  ; 25
+      (  454.05    32.48   -94.72     0.88)  ; 26
+      (  455.51    29.63   -96.77     0.58)  ; 27
+      (  456.97    27.42  -101.25     0.58)  ; 28
+      (  458.43    24.26  -102.60     0.58)  ; 29
+      (  459.31    22.05  -106.05     0.58)  ; 30
+      (  462.22    19.52  -108.80     0.58)  ; 31
+      (  465.14    15.73  -109.20     0.58)  ; 32
+      (  466.89    12.57  -109.85     0.58)  ; 33
+      (  468.64     9.09  -110.20     0.58)  ; 34
+      (  470.10     5.62  -110.30     0.58)  ; 35
+      (  471.27     0.25  -110.52     0.58)  ; 36
+      (  473.60    -3.86  -111.07     0.58)  ; 37
+      (  475.94    -7.34  -111.62     0.58)  ; 38
+      (  476.81   -10.56  -119.20     0.58)  ; 39
+      (  477.98   -13.09  -124.22     0.58)  ; 40
+      (  479.73   -16.88  -125.18     0.29)  ; 41
+      (  481.19   -19.73  -126.70     0.29)  ; 42
+      (  482.65   -22.25  -129.95     0.29)  ; 43
+      (  482.94   -26.05  -132.82     0.29)  ; 44
+      (  483.53   -30.15  -135.55     0.29)  ; 45
+      (  483.53   -33.63  -137.85     0.29)  ; 46
+      (  482.65   -36.79  -139.13     0.29)  ; 47
+      (  481.78   -41.21  -143.98     0.29)  ; 48
+      (  480.02   -44.69  -145.68     0.29)  ; 49
+      (  479.15   -46.27  -146.63     0.29)  ; 50
+      (  478.86   -47.85  -148.95     0.29)  ; 51
+      (  479.15   -48.17  -148.95     0.29)  ; 52
+      (  477.69   -50.69  -150.63     0.29)  ; 53
+      (  477.69   -52.91  -153.35     0.29)  ; 54
+      (  477.11   -54.80  -156.55     0.29)  ; 55
+      (  477.11   -57.33  -158.35     0.29)  ; 56
+      (  477.11   -59.86  -160.30     0.29)  ; 57
+       Incomplete
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color Orange)
+  (Dendrite)
+  (  452.30    98.90    -7.87     0.88)  ; Root
+  (  452.01    97.64    -4.63     1.17)  ; 1, R
+  (  451.43    96.37    -2.78     1.17)  ; 2
+  (  452.30    95.43    -0.85     1.17)  ; 3
+  (  453.18    95.74     0.82     1.17)  ; 4
+  (  453.47    96.69     2.33     1.17)  ; 5
+  (  452.59    96.69     4.13     1.17)  ; 6
+  (  452.01    95.74     5.95     1.17)  ; 7
+  (  450.26    94.16     7.43     1.17)  ; 8
+  (  449.09    93.21     8.32     1.17)  ; 9
+  (  447.63    92.58     8.40     1.17)  ; 10
+  (  445.59    91.95     8.80     1.17)  ; 11
+  (  443.55    90.05     9.45     1.17)  ; 12
+  (  441.21    88.16    10.63     1.17)  ; 13
+  (  440.34    87.21    11.90     1.17)  ; 14
+  (  439.46    86.58    12.20     1.17)  ; 15
+  (
+    (  439.46    84.37    12.45     1.17)  ; 1, R-1
+    (  439.46    82.15    13.38     1.17)  ; 2
+    (  438.59    80.89    13.42     1.17)  ; 3
+    (  437.13    79.63    13.72     1.17)  ; 4
+    (  436.25    78.05    13.90     1.17)  ; 5
+    (
+      (  436.84    75.83    13.95     1.17)  ; 1, R-1-1
+      (  437.42    73.94    14.92     1.17)  ; 2
+      (  438.00    72.36    15.77     1.17)  ; 3
+      (
+        (  437.13    70.15    13.75     0.88)  ; 1, R-1-1-1
+        (  436.84    67.62    10.97     0.88)  ; 2
+        (  436.25    64.77    10.05     0.88)  ; 3
+        (  436.54    62.56     9.80     0.88)  ; 4
+        (  436.54    60.03     8.57     0.88)  ; 5
+        (  437.42    58.14     8.00     0.88)  ; 6
+        (  439.17    56.56     5.80     0.88)  ; 7
+        (  439.75    54.98     3.82     0.58)  ; 8
+        (  441.80    53.08     3.60     0.58)  ; 9
+        (  442.67    52.39     3.02     0.58)  ; 10
+        (  442.38    51.12     2.97     0.58)  ; 11
+        (  440.92    48.91     2.88     0.58)  ; 12
+        (  439.46    46.70     2.60     0.58)  ; 13
+        (  438.30    44.49     2.27     0.58)  ; 14
+        (  438.30    41.96     1.90     1.17)  ; 15
+        (  438.30    39.75     1.45     1.17)  ; 16
+        (  438.59    35.95     1.02     0.88)  ; 17
+        (  439.17    33.11     0.70     0.88)  ; 18
+        (  440.05    31.85     0.57     0.88)  ; 19
+        (  440.34    29.95    -0.02     0.88)  ; 20
+        (  439.46    29.32    -0.20     0.88)  ; 21
+        (  438.88    27.42    -0.15     0.88)  ; 22
+        (  438.88    23.95     0.22     0.88)  ; 23
+        (  439.17    21.42     1.63     0.88)  ; 24
+        (  439.46    18.26     3.30     0.88)  ; 25
+        (  439.17    14.78     4.32     0.88)  ; 26
+        (  439.17    10.36     4.47     0.88)  ; 27
+        (  438.30     5.93     4.52     0.88)  ; 28
+        (  439.17     4.04     4.57     0.88)  ; 29
+        (  439.75     1.83     4.43     0.88)  ; 30
+        (  440.92    -0.70     4.20     0.88)  ; 31
+        (  441.80    -1.40     4.27     0.58)  ; 32
+        (  442.38    -2.98     4.35     0.58)  ; 33
+        (  442.67    -4.56     4.35     0.58)  ; 34
+        (  441.51    -6.14     4.45     0.58)  ; 35
+        (  440.05    -7.40     4.63     0.58)  ; 36
+        (  440.05    -8.67     5.00     0.58)  ; 37
+        (  440.63   -11.51     5.00     0.58)  ; 38
+        (  439.75   -14.67     5.07     0.58)  ; 39
+        (  439.75   -17.51     5.27     0.58)  ; 40
+        (  438.88   -20.04     5.53     0.58)  ; 41
+        (  438.00   -22.25     5.82     0.58)  ; 42
+        (  438.00   -24.78     5.95     0.58)  ; 43
+        (  437.71   -27.63     6.50     0.58)  ; 44
+        (  437.71   -29.21     6.40     0.58)  ; 45
+        (  437.71   -31.73     6.05     0.58)  ; 46
+        (  438.00   -33.63     5.17     0.58)  ; 47
+        (  438.00   -34.96     4.75     0.58)  ; 48
+        (  438.30   -37.80     0.30     0.58)  ; 49
+        (  438.88   -40.01    -0.65     0.58)  ; 50
+        (  439.17   -42.54    -1.02     0.58)  ; 51
+        (  439.75   -44.44    -1.63     0.58)  ; 52
+        (  439.46   -46.97    -1.97     0.58)  ; 53
+        (  438.88   -49.49    -2.10     0.58)  ; 54
+        (  438.59   -52.02    -2.20     0.58)  ; 55
+        (  438.00   -54.87    -2.33     0.58)  ; 56
+        (  437.42   -57.39    -2.57     0.58)  ; 57
+        (  437.13   -59.67    -1.92     0.58)  ; 58
+        (  436.54   -62.20    -0.12     0.58)  ; 59
+        (  436.54   -64.72     1.97     0.58)  ; 60
+        (  436.54   -65.99     4.82     0.58)  ; 61
+        (  435.96   -67.88     6.07     0.29)  ; 62
+        (  436.84   -69.15     7.07     0.29)  ; 63
+        (  436.25   -71.68     7.70     0.29)  ; 64
+        (  434.79   -73.89     8.18     0.29)  ; 65
+        (  433.04   -76.10     8.45     0.29)  ; 66
+        (  431.29   -79.58     8.52     0.29)  ; 67
+        (  429.54   -83.37     8.73     0.29)  ; 68
+        (  428.08   -86.53     9.22     0.29)  ; 69
+        (  426.62   -90.00     9.72     0.29)  ; 70
+        (  426.62   -91.27     9.82     0.29)  ; 71
+        (  427.21   -92.53    10.02     0.29)  ; 72
+        (  427.21   -92.85     6.50     0.29)  ; 73
+        (  426.62   -93.80     4.80     0.29)  ; 74
+        (  427.21   -95.38     3.38     0.29)  ; 75
+        (  428.37   -96.01     1.67     0.29)  ; 76
+        (  429.83   -96.32    -0.45     0.29)  ; 77
+         Normal
+      |
+        (  439.46    70.02    16.17     0.88)  ; 1, R-1-1-2
+        (  440.34    67.49    17.08     1.17)  ; 2
+        (  439.75    65.59    18.85     1.17)  ; 3
+        (  439.17    62.75    19.97     1.17)  ; 4
+        (  438.88    60.85    21.18     1.17)  ; 5
+        (  439.46    59.91    21.30     1.17)  ; 6
+        (  440.92    58.64    21.48     1.17)  ; 7
+        (  441.51    57.06    21.90     1.17)  ; 8
+        (  441.51    54.85    22.02     1.17)  ; 9
+        (  442.38    52.32    22.10     1.17)  ; 10
+        (  442.67    49.79    22.65     1.17)  ; 11
+        (  442.09    47.90    23.45     1.17)  ; 12
+        (  440.63    45.37    23.82     1.17)  ; 13
+        (  438.59    43.79    24.22     1.17)  ; 14
+        (  436.84    43.16    24.27     1.17)  ; 15
+        (  436.25    41.89    24.32     1.17)  ; 16
+        (  437.71    41.26    24.32     1.17)  ; 17
+        (  439.17    41.26    24.40     1.17)  ; 18
+         Low
+      )  ;  End of split
+    |
+      (  434.50    77.29    11.80     0.88)  ; 1, R-1-2
+      (  432.46    77.60     8.55     0.88)  ; 2
+      (  430.42    77.29     8.02     0.88)  ; 3
+      (  428.08    77.92     8.10     0.88)  ; 4
+      (  427.50    78.55     9.15     0.88)  ; 5
+      (  426.62    78.55     9.27     0.88)  ; 6
+      (  424.87    77.92    14.55     0.88)  ; 7
+      (  423.70    76.65    15.97     0.88)  ; 8
+      (  422.54    74.76    17.47     0.88)  ; 9
+      (  421.08    72.55    19.30     0.88)  ; 10
+      (  419.04    71.28    20.47     0.88)  ; 11
+      (  416.70    70.65    20.60     0.88)  ; 12
+      (  414.66    69.39    20.97     0.88)  ; 13
+      (  412.91    68.44    21.95     0.88)  ; 14
+      (  410.57    66.86    22.20     0.88)  ; 15
+      (  408.82    65.59    22.80     0.88)  ; 16
+      (  407.36    64.65    23.30     0.88)  ; 17
+       Low
+    )  ;  End of split
+  |
+    (  437.13    84.87    12.93     0.29)  ; 1, R-2
+    (  435.96    84.87    13.13     0.29)  ; 2
+    (  435.38    86.14    14.88     0.29)  ; 3
+    (  435.09    87.40    15.55     0.58)  ; 4
+    (  434.50    89.61    18.60     0.29)  ; 5
+    (  433.33    90.24    20.15     0.29)  ; 6
+    (  431.58    90.24    22.20     0.29)  ; 7
+    (  430.12    89.61    23.63     0.29)  ; 8
+    (  429.83    89.30    24.08     0.29)  ; 9
+    (  430.12    87.72    24.13     0.29)  ; 10
+     Low
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color DarkRed)
+  (Dendrite)
+  (  461.35    99.72   -23.47     1.17)  ; Root
+  (  461.64    98.46   -24.15     1.17)  ; 1, R
+  (  461.93    96.88   -25.83     1.17)  ; 2
+  (  461.35    94.35   -27.02     1.17)  ; 3
+  (  461.06    92.46   -27.05     1.17)  ; 4
+  (  461.06    90.24   -27.95     1.17)  ; 5
+  (  461.64    88.66   -30.27     1.17)  ; 6
+  (  463.10    87.72   -30.45     1.17)  ; 7
+  (  465.43    88.35   -32.50     1.17)  ; 8
+  (  467.77    88.98   -34.58     1.17)  ; 9
+  (  469.52    89.61   -35.80     1.17)  ; 10
+  (  470.69    88.98   -37.20     1.17)  ; 11
+  (  470.98    86.77   -38.38     1.17)  ; 12
+  (  471.56    84.56   -41.10     1.17)  ; 13
+  (  473.31    83.61   -46.32     1.17)  ; 14
+  (
+    (  473.90    82.34   -52.85     0.88)  ; 1, R-1
+    (  473.90    80.76   -53.67     0.88)  ; 2
+    (  473.31    79.50   -54.95     0.88)  ; 3
+    (  472.15    78.55   -55.55     0.88)  ; 4
+    (  472.15    77.60   -57.85     0.88)  ; 5
+    (  473.60    76.97   -59.07     0.88)  ; 6
+    (  475.36    76.02   -61.57     0.88)  ; 7
+    (  476.81    73.49   -64.82     0.88)  ; 8
+    (  478.86    71.28   -67.17     0.88)  ; 9
+    (  481.48    68.12   -69.72     0.88)  ; 10
+    (  482.36    65.59   -73.25     0.88)  ; 11
+    (  483.23    64.01   -74.20     0.88)  ; 12
+    (  483.82    62.12   -74.30     0.88)  ; 13
+    (
+      (  484.99    60.85   -76.85     0.88)  ; 1, R-1-1
+      (  486.15    59.27   -79.85     0.88)  ; 2
+      (  487.32    57.06   -83.10     0.88)  ; 3
+      (  487.90    54.22   -86.50     0.88)  ; 4
+      (  488.78    53.27   -88.27     0.88)  ; 5
+      (  490.24    52.01   -88.60     0.88)  ; 6
+      (  491.41    49.48   -91.05     0.88)  ; 7
+      (  491.11    46.63   -93.67     0.88)  ; 8
+      (  491.41    45.37   -96.93     0.88)  ; 9
+      (  492.86    43.47   -97.25     0.88)  ; 10
+      (  495.49    42.53   -99.88     0.88)  ; 11
+      (  497.24    40.31  -101.62     0.88)  ; 12
+      (  498.99    36.84  -104.45     0.88)  ; 13
+      (  501.91    33.36  -107.72     0.88)  ; 14
+      (  504.83    29.89  -111.10     0.88)  ; 15
+      (  507.16    27.04  -112.07     0.88)  ; 16
+      (  510.37    25.15  -116.43     0.88)  ; 17
+      (  511.83    23.57  -117.17     0.88)  ; 18
+      (  513.58    20.72  -119.50     0.58)  ; 19
+      (  516.21    19.46  -122.57     0.58)  ; 20
+      (  519.42    17.88  -126.47     0.58)  ; 21
+      (  523.51    15.98  -130.30     0.58)  ; 22
+      (  526.37    13.64  -134.73     0.58)  ; 23
+      (  529.87    11.75  -138.38     0.58)  ; 24
+      (  531.03     9.22  -141.80     0.58)  ; 25
+      (  532.49     6.38  -142.63     0.58)  ; 26
+      (  533.66     2.90  -142.68     0.58)  ; 27
+      (  535.41     0.69  -143.18     0.58)  ; 28
+      (  537.45     0.06  -143.40     0.58)  ; 29
+      (  539.79    -1.52  -143.80     0.58)  ; 30
+      (  541.83    -4.68  -144.45     0.58)  ; 31
+      (  545.04    -8.48  -145.40     0.58)  ; 32
+      (  545.62   -12.27  -146.97     0.58)  ; 33
+      (  547.08   -14.80  -148.25     0.58)  ; 34
+      (  548.83   -17.13  -152.18     0.58)  ; 35
+      (  551.17   -18.71  -153.05     0.58)  ; 36
+      (  553.50   -21.24  -154.70     0.29)  ; 37
+      (  556.31   -21.97  -151.43     0.29)  ; 38
+      (  560.10   -23.23  -152.23     0.29)  ; 39
+      (  562.15   -24.81  -153.55     0.29)  ; 40
+      (  564.19   -27.02  -155.52     0.29)  ; 41
+      (  566.52   -29.24  -157.55     0.29)  ; 42
+       High
+    |
+      (  483.10    60.24   -73.38     0.88)  ; 1, R-1-2
+      (  483.39    58.66   -68.55     0.88)  ; 2
+      (  484.27    56.76   -65.38     0.88)  ; 3
+      (  485.43    55.18   -64.95     0.88)  ; 4
+      (  485.14    53.60   -65.65     0.88)  ; 5
+      (  485.43    50.12   -66.68     0.88)  ; 6
+      (  485.43    46.96   -66.88     0.88)  ; 7
+      (  485.43    44.12   -67.42     0.88)  ; 8
+      (  485.14    41.28   -67.68     0.88)  ; 9
+      (  485.43    38.12   -70.07     0.88)  ; 10
+      (  486.31    36.22   -70.72     0.88)  ; 11
+      (  487.48    34.01   -73.35     0.88)  ; 12
+      (  488.35    32.43   -73.97     0.88)  ; 13
+      (  488.64    30.22   -74.15     0.88)  ; 14
+      (  489.81    29.27   -75.88     0.88)  ; 15
+      (  491.85    27.69   -76.17     0.88)  ; 16
+      (  493.02    25.79   -77.15     0.88)  ; 17
+      (  493.31    22.95   -77.77     0.88)  ; 18
+      (  492.73    18.84   -78.32     0.88)  ; 19
+      (  492.73    15.36   -78.47     0.88)  ; 20
+      (  492.44    10.62   -78.67     0.88)  ; 21
+      (  492.44     6.83   -79.05     0.88)  ; 22
+      (  491.56     3.67   -79.32     0.88)  ; 23
+      (  489.81     1.14   -79.32     0.88)  ; 24
+      (  489.81    -1.38   -78.50     0.88)  ; 25
+      (  490.69    -4.54   -76.82     0.88)  ; 26
+      (  492.14    -6.44   -74.32     0.88)  ; 27
+      (  493.02    -8.34   -73.35     0.88)  ; 28
+      (  493.02    -9.92   -73.42     0.88)  ; 29
+      (  492.73   -12.13   -73.85     0.88)  ; 30
+      (  493.60   -14.02   -74.78     0.88)  ; 31
+      (  493.90   -15.92   -77.85     0.88)  ; 32
+      (  493.60   -17.82   -78.60     0.88)  ; 33
+      (  495.35   -19.46   -78.70     0.58)  ; 34
+      (  495.65   -21.04   -81.45     0.58)  ; 35
+      (  496.81   -23.25   -81.55     0.58)  ; 36
+      (  497.40   -25.46   -81.88     0.58)  ; 37
+      (  498.56   -28.31   -82.00     0.58)  ; 38
+      (  500.90   -30.52   -82.38     0.58)  ; 39
+      (  502.36   -34.00   -82.60     0.58)  ; 40
+      (  504.40   -37.47   -83.32     0.58)  ; 41
+      (  505.57   -42.21   -84.55     0.58)  ; 42
+      (  506.73   -45.37   -86.67     0.58)  ; 43
+      (  507.03   -49.48   -89.43     0.58)  ; 44
+      (  507.32   -53.27   -89.82     0.58)  ; 45
+      (  506.44   -57.70   -91.50     0.58)  ; 46
+      (  505.86   -61.23   -91.72     0.58)  ; 47
+      (  504.11   -63.13   -94.05     0.58)  ; 48
+      (  502.07   -65.03   -94.05     0.29)  ; 49
+      (  501.48   -67.24   -96.35     0.29)  ; 50
+      (  500.90   -68.82   -99.03     0.29)  ; 51
+      (  499.44   -71.03  -102.25     0.29)  ; 52
+      (  497.69   -74.19  -102.42     0.29)  ; 53
+      (  497.10   -76.72  -103.97     0.29)  ; 54
+      (  497.69   -79.56  -106.20     0.29)  ; 55
+      (  496.52   -83.04  -106.70     0.29)  ; 56
+      (  496.81   -85.88  -108.70     0.29)  ; 57
+      (  497.10   -88.10  -115.13     0.29)  ; 58
+      (  497.40   -90.62  -116.72     0.29)  ; 59
+      (  497.69   -93.15  -121.10     0.29)  ; 60
+
+      (Dot
+        (Color RGB (128, 255, 0))
+        (Name "Marker 1")
+        (  494.04     6.05   -23.45     0.29)  ; 1
+      )  ;  End of markers
+       High
+    )  ;  End of split
+  |
+    (  474.34    84.25   -54.00     0.88)  ; 1, R-2
+    (  475.51    83.30   -56.60     0.88)  ; 2
+    (  475.51    82.36   -60.22     0.88)  ; 3
+    (  475.22    81.41   -62.13     0.88)  ; 4
+    (  474.64    82.36   -63.00     0.88)  ; 5
+    (  475.51    82.67   -64.55     0.88)  ; 6
+    (  476.68    81.72   -65.90     0.88)  ; 7
+    (  477.85    81.09   -66.60     0.88)  ; 8
+    (  478.43    79.51   -67.00     0.88)  ; 9
+    (  478.43    77.62   -70.52     0.88)  ; 10
+    (  479.30    75.72   -73.07     0.88)  ; 11
+    (  480.76    72.88   -75.67     0.88)  ; 12
+    (  480.76    71.93   -80.52     0.88)  ; 13
+    (  481.93    71.30   -82.87     0.88)  ; 14
+    (  483.10    69.40   -84.78     0.88)  ; 15
+    (  484.85    68.77   -88.53     0.88)  ; 16
+    (  487.18    67.50   -91.47     0.88)  ; 17
+    (
+      (  488.35    65.29   -94.35     0.88)  ; 1, R-2-1
+      (  489.81    64.34   -98.32     0.88)  ; 2
+      (  491.56    63.40  -102.92     0.88)  ; 3
+      (
+        (  491.85    62.45  -105.88     0.58)  ; 1, R-2-1-1
+        (  492.44    60.24  -110.35     0.58)  ; 2
+        (  494.19    58.66  -114.10     0.58)  ; 3
+        (  495.06    57.08  -118.95     0.58)  ; 4
+        (  496.52    55.18  -120.77     0.58)  ; 5
+        (  498.56    52.97  -122.30     0.58)  ; 6
+        (  500.31    51.70  -126.10     0.58)  ; 7
+        (  500.61    50.44  -131.32     0.58)  ; 8
+        (  502.94    49.18  -135.05     0.58)  ; 9
+        (  504.40    47.28  -137.63     0.58)  ; 10
+        (  505.86    48.23  -139.95     0.58)  ; 11
+        (  505.57    48.86  -142.85     0.58)  ; 12
+        (  504.98    48.54  -142.88     0.58)  ; 13
+        (  504.69    47.91  -142.88     0.58)  ; 14
+        (  505.57    46.65  -143.60     0.58)  ; 15
+        (  507.90    46.65  -150.82     0.58)  ; 16
+        (  510.24    45.07  -151.63     0.58)  ; 17
+        (  511.99    44.12  -155.20     0.58)  ; 18
+         Incomplete
+      |
+        (  494.19    63.71  -103.30     0.58)  ; 1, R-2-1-2
+        (  496.81    64.66  -108.90     0.58)  ; 2
+        (  499.73    65.29  -113.75     0.58)  ; 3
+        (  500.31    66.87  -119.43     0.58)  ; 4
+        (  502.07    69.72  -122.28     0.58)  ; 5
+        (  504.40    71.93  -124.82     0.58)  ; 6
+        (  506.15    72.88  -129.45     0.58)  ; 7
+        (  510.24    73.19  -130.32     0.58)  ; 8
+        (  512.28    71.61  -132.38     0.58)  ; 9
+        (  513.74    69.40  -135.32     0.58)  ; 10
+        (  515.49    67.50  -138.95     0.58)  ; 11
+        (  518.70    65.61  -142.23     0.58)  ; 12
+        (  521.33    64.66  -145.45     0.58)  ; 13
+        (  523.37    64.03  -148.72     0.58)  ; 14
+        (  525.70    63.08  -150.60     0.58)  ; 15
+        (  527.95    61.50  -154.43     0.58)  ; 16
+        (  530.87    59.92  -157.05     0.58)  ; 17
+        (  533.20    58.97  -159.63     0.58)  ; 18
+        (  536.70    58.02  -160.12     0.58)  ; 19
+        (  539.04    56.13  -161.40     0.58)  ; 20
+         Incomplete
+      )  ;  End of split
+    |
+      (  490.01    68.14   -92.42     0.58)  ; 1, R-2-2
+      (  492.64    68.45   -92.83     0.58)  ; 2
+      (  494.97    68.77   -96.77     0.58)  ; 3
+      (  498.77    69.72  -101.03     0.58)  ; 4
+      (  501.98    70.98  -105.35     0.58)  ; 5
+      (  503.44    70.66  -106.03     0.58)  ; 6
+      (  506.94    69.40  -106.38     0.58)  ; 7
+      (  511.90    69.40  -107.55     0.58)  ; 8
+      (  515.40    69.08  -110.40     0.58)  ; 9
+      (  518.03    70.03  -115.13     0.58)  ; 10
+      (  521.53    70.98  -115.55     0.58)  ; 11
+      (  526.20    70.98  -116.93     0.58)  ; 12
+      (  528.83    69.40  -119.80     0.58)  ; 13
+      (  532.33    68.14  -122.70     0.58)  ; 14
+      (  533.79    67.50  -125.97     0.58)  ; 15
+      (  537.29    64.66  -132.47     0.58)  ; 16
+      (  539.62    62.45  -134.40     0.58)  ; 17
+      (  542.83    59.60  -137.92     0.58)  ; 18
+      (  546.33    57.39  -139.00     0.58)  ; 19
+      (  548.67    56.44  -141.13     0.58)  ; 20
+      (  550.71    56.44  -144.10     0.58)  ; 21
+      (  553.05    56.76  -150.57     0.58)  ; 22
+       High
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color RGB (128, 64, 0))
+  (Dendrite)
+  (  460.34    97.84   -11.00     0.58)  ; Root
+  (  460.34    96.58    -9.98     1.17)  ; 1, R
+  (  460.34    95.00    -5.57     1.17)  ; 2
+  (  460.34    92.15    -2.50     1.17)  ; 3
+  (  460.92    89.62     0.22     1.17)  ; 4
+  (  461.80    85.83     2.15     1.17)  ; 5
+  (  463.55    84.57     2.88     1.17)  ; 6
+  (  464.71    83.62     3.30     1.17)  ; 7
+  (  465.30    82.67     3.35     1.17)  ; 8
+  (  464.13    81.09     4.22     1.17)  ; 9
+  (  464.13    78.56     5.65     1.17)  ; 10
+  (  465.88    76.98     6.55     1.17)  ; 11
+
+  (Cross
+    (Color RGB (128, 64, 0))
+    (Name "Marker 3")
+    (  459.17    95.94    -2.50     1.17)  ; 1
+    (  462.38    83.94     2.88     1.17)  ; 2
+    (  463.55    77.62     6.55     1.17)  ; 3
+    (  464.13    77.30     6.55     1.17)  ; 4
+  )  ;  End of markers
+  (
+    (  469.38    76.35     8.90     0.88)  ; 1, R-1
+    (  471.13    75.72     9.70     0.88)  ; 2
+    (  471.13    75.09     9.70     0.88)  ; 3
+    (  470.55    73.51    10.33     0.88)  ; 4
+    (  469.97    70.98    12.35     0.88)  ; 5
+    (  469.97    69.40    13.30     0.88)  ; 6
+    (  470.26    67.50    13.55     0.88)  ; 7
+    (  471.43    66.87    13.57     0.88)  ; 8
+    (  473.76    67.82    15.48     0.88)  ; 9
+    (  475.51    66.87    16.73     0.88)  ; 10
+    (  477.85    66.24    16.73     0.88)  ; 11
+    (  478.43    65.61    17.25     0.88)  ; 12
+    (  479.60    64.66    17.63     0.88)  ; 13
+    (  481.64    63.40    17.63     0.88)  ; 14
+    (  483.68    63.71    18.67     0.88)  ; 15
+    (  485.14    63.40    19.52     0.88)  ; 16
+    (  486.60    62.13    20.15     0.88)  ; 17
+    (  487.77    61.50    20.73     0.88)  ; 18
+    (  490.10    60.55    22.32     0.88)  ; 19
+    (  490.39    58.34    22.75     0.88)  ; 20
+    (  491.27    55.81    23.98     0.88)  ; 21
+    (  492.73    54.86    24.27     0.88)  ; 22
+    (  494.19    54.23    24.27     0.88)  ; 23
+
+    (Cross
+      (Color RGB (128, 64, 0))
+      (Name "Marker 3")
+      (  472.01    75.40    10.33     0.88)  ; 1
+      (  472.30    73.82    10.33     0.88)  ; 2
+      (  471.72    73.82    12.35     0.88)  ; 3
+      (  469.67    69.72    13.30     0.88)  ; 4
+      (  469.38    67.50    13.57     0.88)  ; 5
+      (  470.26    67.19    14.60     0.88)  ; 6
+      (  472.01    66.56    14.60     0.88)  ; 7
+      (  471.72    68.45    15.48     0.88)  ; 8
+      (  474.64    69.08    16.00     0.88)  ; 9
+      (  473.18    66.56    16.10     0.88)  ; 10
+      (  476.68    67.50    16.73     0.88)  ; 11
+      (  477.26    67.50    16.73     0.88)  ; 12
+      (  476.97    65.92    16.73     0.88)  ; 13
+      (  477.55    65.29    16.73     0.88)  ; 14
+      (  483.97    64.34    19.52     0.88)  ; 15
+      (  486.02    64.66    19.52     0.88)  ; 16
+      (  488.06    62.76    20.73     0.88)  ; 17
+      (  486.31    60.87    20.73     0.88)  ; 18
+      (  485.14    62.13    22.32     0.88)  ; 19
+      (  489.52    59.29    22.32     0.88)  ; 20
+      (  489.23    61.82    22.32     0.88)  ; 21
+      (  490.98    60.24    22.75     0.88)  ; 22
+      (  491.56    58.66    22.75     0.88)  ; 23
+      (  489.81    58.66    22.75     0.88)  ; 24
+      (  489.81    56.44    24.27     0.88)  ; 25
+      (  492.73    55.50    24.27     0.88)  ; 26
+      (  493.02    54.86    24.27     0.88)  ; 27
+    )  ;  End of markers
+     Low
+  |
+    (  466.46    74.46     6.30     1.17)  ; 1, R-2
+    (  468.22    72.24     5.72     1.17)  ; 2
+    (  470.26    70.66     3.27     1.17)  ; 3
+    (  471.43    68.45     2.15     1.17)  ; 4
+    (  472.88    64.66     1.88     1.17)  ; 5
+    (  473.76    62.13     1.80     1.17)  ; 6
+    (  472.88    59.29     1.73     1.17)  ; 7
+    (  471.13    56.13     1.50     1.17)  ; 8
+    (  470.55    54.23     0.40     1.17)  ; 9
+    (  472.01    50.76    -0.55     1.17)  ; 10
+    (  472.01    47.91    -2.00     1.17)  ; 11
+    (  471.72    46.96    -3.85     1.17)  ; 12
+    (
+      (  470.26    45.07    -5.92     0.88)  ; 1, R-2-1
+      (  469.97    42.86    -6.45     0.88)  ; 2
+      (  467.92    40.01    -6.78     0.88)  ; 3
+      (  466.76    37.17    -7.35     0.88)  ; 4
+      (  466.17    36.22    -7.35     0.88)  ; 5
+      (  463.84    34.64    -7.43     0.88)  ; 6
+      (  463.25    33.38    -8.30     0.88)  ; 7
+      (  462.67    30.53    -8.68     0.88)  ; 8
+      (  461.80    28.64    -9.02     0.88)  ; 9
+      (  461.80    25.79    -9.25     0.88)  ; 10
+      (  460.63    22.63    -9.40     0.88)  ; 11
+      (  458.88    21.05   -10.05     0.88)  ; 12
+      (  458.29    20.10   -11.60     0.88)  ; 13
+      (  458.59    20.10   -11.60     0.88)  ; 14
+      (  460.04    19.16   -13.32     0.88)  ; 15
+      (  460.34    17.58   -15.38     0.88)  ; 16
+      (  460.92    14.73   -17.20     0.88)  ; 17
+      (  461.50    12.52   -18.90     0.88)  ; 18
+      (  460.92    10.31   -19.77     0.88)  ; 19
+      (  460.63     8.10   -21.28     0.88)  ; 20
+      (  461.21     6.77   -21.60     0.88)  ; 21
+      (  461.21     4.87   -24.15     0.88)  ; 22
+      (  460.63     2.98   -27.75     0.88)  ; 23
+      (  459.75     0.76   -29.65     0.88)  ; 24
+      (  459.17    -0.50   -30.97     0.88)  ; 25
+      (  459.17    -1.13   -31.15     0.88)  ; 26
+      (  459.75    -3.03   -32.00     0.88)  ; 27
+      (  461.21    -5.24   -33.38     0.88)  ; 28
+      (  462.38    -7.14   -34.72     0.88)  ; 29
+      (  462.67    -9.35   -37.60     0.88)  ; 30
+      (  462.67   -11.24   -38.77     0.88)  ; 31
+      (  463.25   -13.14   -39.50     0.88)  ; 32
+      (  463.84   -15.35   -40.07     0.88)  ; 33
+      (  462.67   -17.56   -40.20     1.17)  ; 34
+      (  460.63   -19.78   -40.52     1.17)  ; 35
+      (  459.17   -21.36   -40.83     1.17)  ; 36
+      (  458.29   -23.57   -41.15     1.17)  ; 37
+      (  458.59   -27.36   -41.35     1.17)  ; 38
+      (  459.75   -30.20   -41.47     1.17)  ; 39
+      (  459.46   -32.79   -42.15     0.88)  ; 40
+      (  458.00   -35.64   -42.92     0.88)  ; 41
+      (  457.13   -39.11   -46.47     1.17)  ; 42
+      (  454.79   -41.01   -47.45     0.88)  ; 43
+      (  453.04   -43.22   -49.70     1.17)  ; 44
+      (  450.12   -44.80   -49.95     1.17)  ; 45
+      (  447.50   -45.75   -50.20     1.17)  ; 46
+      (  446.33   -45.75   -50.45     1.17)  ; 47
+      (  445.16   -47.33   -51.28     0.88)  ; 48
+      (  444.29   -50.17   -51.77     1.17)  ; 49
+      (  442.54   -50.81   -52.10     1.17)  ; 50
+      (  440.20   -52.07   -52.55     0.88)  ; 51
+      (  437.57   -54.28   -53.53     0.88)  ; 52
+      (  434.66   -56.81   -54.32     0.88)  ; 53
+      (  432.91   -59.02   -54.47     0.88)  ; 54
+      (  429.99   -60.60   -54.40     0.88)  ; 55
+      (  427.07   -61.55   -53.30     0.88)  ; 56
+      (  426.49   -62.50   -49.90     0.88)  ; 57
+      (  425.61   -63.76   -47.35     0.88)  ; 58
+      (  423.86   -65.03   -44.95     0.58)  ; 59
+      (  423.28   -65.97   -43.07     0.58)  ; 60
+      (  423.86   -68.19   -42.77     0.58)  ; 61
+      (  423.86   -70.40   -41.50     0.58)  ; 62
+      (  424.43   -72.54   -36.92     0.58)  ; 63
+      (  424.72   -75.06   -36.00     0.58)  ; 64
+      (  424.43   -78.54   -35.80     0.58)  ; 65
+      (  425.01   -81.07   -35.50     0.58)  ; 66
+      (  424.43   -83.03   -34.75     0.58)  ; 67
+      (  425.01   -85.24   -34.52     0.58)  ; 68
+      (  425.89   -87.14   -33.85     0.58)  ; 69
+      (  425.31   -90.30   -32.25     0.58)  ; 70
+      (  425.89   -92.82   -30.77     0.58)  ; 71
+      (  427.06   -94.09   -28.52     0.58)  ; 72
+      (  427.64   -95.04   -28.25     0.58)  ; 73
+      (  427.93   -96.93   -26.98     0.58)  ; 74
+      (  428.81   -98.20   -26.17     0.58)  ; 75
+      (  428.22   -99.46   -25.13     0.58)  ; 76
+      (  427.64  -101.99   -22.12     0.58)  ; 77
+      (  425.31  -102.62   -20.42     0.58)  ; 78
+      (  424.72  -103.57   -18.80     0.29)  ; 79
+      (  424.72  -104.83   -18.00     0.29)  ; 80
+      (  422.97  -105.46   -16.35     0.29)  ; 81
+      (  421.80  -104.20   -16.17     0.29)  ; 82
+       Normal
+    |
+      (  473.04    43.64    -3.65     1.17)  ; 1, R-2-2
+      (  472.75    40.48    -2.13     1.17)  ; 2
+      (  473.04    37.95     2.27     1.17)  ; 3
+      (  473.04    35.11     6.22     1.17)  ; 4
+      (  473.91    32.90     7.63     1.17)  ; 5
+      (  475.37    30.68     8.13     1.17)  ; 6
+      (  476.25    28.16     8.70     1.17)  ; 7
+      (  476.25    26.26     8.95     1.17)  ; 8
+      (  475.37    25.00     9.00     1.17)  ; 9
+      (  475.96    23.42     9.13     1.17)  ; 10
+      (  477.12    20.57     9.30     1.17)  ; 11
+      (  477.41    18.04     9.40     1.17)  ; 12
+      (  476.54    15.52     9.40     1.17)  ; 13
+      (  474.79    13.62     9.75     1.17)  ; 14
+      (  474.50    10.78    10.22     1.17)  ; 15
+      (  475.37     8.88    10.33     1.17)  ; 16
+      (  476.54     3.82    10.52     1.17)  ; 17
+      (  476.25     0.35    10.68     1.17)  ; 18
+      (  476.25    -3.44    11.13     1.17)  ; 19
+      (  475.37    -6.92    11.55     1.17)  ; 20
+      (  475.96    -9.45    11.63     1.17)  ; 21
+      (  475.96   -11.66    11.82     1.17)  ; 22
+      (  476.25   -14.19    11.40     1.17)  ; 23
+      (  475.66   -16.40    10.77     1.17)  ; 24
+      (  476.25   -19.56    10.10     0.88)  ; 25
+      (  478.00   -22.09     8.60     0.88)  ; 26
+      (  480.33   -23.35     6.67     0.88)  ; 27
+      (  480.92   -24.93     6.20     0.88)  ; 28
+      (  480.62   -27.46     5.95     0.88)  ; 29
+      (  481.21   -29.04     5.85     0.88)  ; 30
+      (  482.67   -32.83     5.63     1.17)  ; 31
+      (  483.83   -35.68     5.40     1.17)  ; 32
+      (  482.96   -37.26     5.25     1.17)  ; 33
+      (  482.08   -38.84     4.63     1.17)  ; 34
+      (  482.38   -40.48     5.00     1.17)  ; 35
+      (  483.25   -43.64     6.22     1.17)  ; 36
+      (  482.96   -46.48     7.47     1.17)  ; 37
+      (  484.13   -50.28     8.05     1.17)  ; 38
+      (  484.42   -53.44     8.40     1.17)  ; 39
+      (  484.42   -56.60     8.57     1.17)  ; 40
+      (  485.29   -59.76     8.73     1.17)  ; 41
+      (  487.34   -63.55     9.07     1.17)  ; 42
+      (  487.04   -65.76     9.17     1.17)  ; 43
+      (  487.63   -68.92     9.40     1.17)  ; 44
+      (  488.50   -71.45     9.60     1.17)  ; 45
+      (  489.96   -73.98     9.77     1.17)  ; 46
+      (  489.38   -76.50     9.88     1.17)  ; 47
+      (  490.55   -79.66    10.02     1.17)  ; 48
+      (  489.96   -83.52    10.63     1.17)  ; 49
+      (  488.80   -86.36    10.95     1.17)  ; 50
+      (  489.38   -89.21    11.40     0.88)  ; 51
+      (  490.55   -92.05    11.93     1.17)  ; 52
+      (  492.59   -95.53    12.10     1.17)  ; 53
+      (  493.76   -96.48    12.38     1.17)  ; 54
+      (  494.34   -98.37    12.52     0.88)  ; 55
+      (  495.21  -100.33    12.93     1.17)  ; 56
+      (  496.38  -104.75    13.10     1.17)  ; 57
+      (  497.84  -108.23    13.75     1.17)  ; 58
+      (  499.30  -110.76    14.50     0.88)  ; 59
+      (  501.05  -114.55    15.32     1.17)  ; 60
+      (  501.63  -117.39    16.45     0.88)  ; 61
+      (  501.34  -120.55    17.63     1.17)  ; 62
+      (  503.09  -124.66    18.10     1.17)  ; 63
+      (  503.68  -127.82    18.60     0.88)  ; 64
+      (  502.80  -131.93    19.30     1.17)  ; 65
+       Low
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color Orange)
+  (Apical)
+  (  460.67   120.50   -11.00     4.09)  ; Root
+  (  461.55   121.77   -15.92     4.09)  ; 1, R
+  (  462.42   125.56   -19.02     4.09)  ; 2
+  (  463.30   129.67   -19.90     4.09)  ; 3
+  (  464.17   134.09   -21.95     4.09)  ; 4
+  (  464.12   134.80   -21.95     4.09)  ; 5
+  (
+    (  464.17   137.57   -22.97     4.09)  ; 1, R-1
+    (  464.76   139.15   -24.22     4.09)  ; 2
+    (  465.05   141.99   -24.62     3.50)  ; 3
+    (  464.46   145.15   -25.20     3.50)  ; 4
+    (  463.59   147.05   -25.52     3.50)  ; 5
+    (  462.71   149.89   -26.17     4.09)  ; 6
+    (  461.84   154.32   -26.25     4.09)  ; 7
+
+    (Cross
+      (Color Green)
+      (Name "Marker 3")
+      (  464.52   149.29   -23.84     0.07)  ; 1
+      (  463.64   152.97   -24.61     0.07)  ; 2
+      (  464.89   148.48   -25.34     0.07)  ; 3
+      (  463.64   154.22   -24.88     0.07)  ; 4
+      (  463.93   152.16   -25.57     0.07)  ; 5
+    )  ;  End of markers
+    (
+      (  462.42   157.48   -26.67     3.79)  ; 1, R-1-1
+      (  463.00   162.22   -26.77     3.79)  ; 2
+      (  463.00   165.38   -27.53     3.79)  ; 3
+      (  463.00   167.91   -28.07     4.09)  ; 4
+      (
+        (  464.46   169.80   -29.62     4.09)  ; 1, R-1-1-1
+        (  465.05   170.75   -29.62     4.09)  ; 2
+        (
+          (  465.34   174.86   -30.80     3.50)  ; 1, R-1-1-1-1
+          (  465.34   179.60   -32.10     3.50)  ; 2
+          (  466.21   183.71   -33.42     3.50)  ; 3
+          (  466.80   187.50   -35.38     3.79)  ; 4
+          (
+            (  466.80   190.03   -35.38     3.50)  ; 1, R-1-1-1-1-1
+            (  467.97   194.51   -35.53     3.21)  ; 2
+            (  469.42   198.62   -37.45     3.21)  ; 3
+            (  469.29   202.06   -38.30     3.21)  ; 4
+            (  469.29   202.06   -38.30     3.21)  ; 5
+            (  469.00   202.38   -38.30     3.21)  ; 6
+            (
+              (  469.13   202.73   -38.30     3.21)  ; 1, R-1-1-1-1-1-1
+              (  469.42   207.47   -40.05     2.92)  ; 2
+              (  469.42   210.94   -42.53     2.92)  ; 3
+              (  470.88   214.74   -43.30     3.21)  ; 4
+              (  471.47   220.11   -43.82     2.92)  ; 5
+              (  471.76   223.90   -44.25     2.92)  ; 6
+              (  471.76   227.38   -44.47     2.92)  ; 7
+              (  471.88   229.81   -44.63     2.92)  ; 8
+              (  471.59   232.02   -44.63     2.92)  ; 9
+              (  473.05   234.87   -44.97     2.92)  ; 10
+              (  473.63   238.03   -47.10     2.92)  ; 11
+              (  472.76   241.19   -47.30     3.21)  ; 12
+              (  473.63   244.35   -47.50     3.21)  ; 13
+              (  474.80   247.82   -48.30     3.21)  ; 14
+              (  475.09   251.62   -49.32     3.21)  ; 15
+              (  476.26   254.78   -50.60     3.21)  ; 16
+              (
+                (  478.64   253.81   -50.75     1.17)  ; 1, R-1-1-1-1-1-1-1
+                (  481.85   252.55   -51.00     1.17)  ; 2
+                (  484.76   251.92   -51.15     1.17)  ; 3
+                (  487.68   252.23   -51.25     1.17)  ; 4
+                (  490.89   252.55   -51.60     1.17)  ; 5
+                (  493.81   253.18   -52.17     1.17)  ; 6
+                (  495.56   254.13   -52.47     1.17)  ; 7
+                (
+                  (  497.28   253.18   -51.47     1.17)  ; 1, R-1-1-1-1-1-1-1-1
+                  (  500.79   250.97   -50.22     1.17)  ; 2
+                  (  503.41   249.07   -48.55     1.17)  ; 3
+                  (  505.75   247.49   -47.08     1.17)  ; 4
+                  (  507.21   245.91   -45.60     1.17)  ; 5
+                  (  508.08   245.60   -45.32     1.17)  ; 6
+                  (  510.42   245.28   -45.20     1.17)  ; 7
+                  (  511.58   245.28   -44.35     1.17)  ; 8
+                  (  512.75   246.23   -42.82     1.17)  ; 9
+                  (  514.21   248.44   -42.35     1.17)  ; 10
+                  (  515.96   249.71   -41.40     1.17)  ; 11
+                  (  519.17   250.34   -41.32     1.17)  ; 12
+                  (  522.38   250.34   -40.17     1.17)  ; 13
+                  (  525.01   250.65   -38.60     1.17)  ; 14
+                  (  527.05   250.97   -37.30     1.17)  ; 15
+                  (  529.38   250.97   -36.13     1.17)  ; 16
+                  (  530.26   250.02   -35.85     1.17)  ; 17
+                  (  531.13   248.13   -32.67     1.17)  ; 18
+                  (  532.30   247.18   -27.67     1.17)  ; 19
+                  (  533.18   246.86   -23.40     1.17)  ; 20
+                  (
+                    (  531.92   245.60   -26.58     0.88)  ; 1, R-1-1-1-1-1-1-1-1-1
+                    (  532.21   243.39   -29.97     0.88)  ; 2
+                    (  533.38   241.81   -30.65     0.88)  ; 3
+                    (  534.55   240.54   -30.38     0.88)  ; 4
+                    (  534.84   239.59   -28.70     0.88)  ; 5
+                    (  533.96   238.33   -23.27     0.88)  ; 6
+                    (  534.26   237.38   -20.63     0.88)  ; 7
+                    (  535.13   236.12   -18.72     0.58)  ; 8
+                    (  535.51   234.42   -18.42     0.58)  ; 9
+                    (  536.67   232.84   -17.90     0.58)  ; 10
+                    (  537.84   232.52   -17.35     0.58)  ; 11
+                    (  539.59   232.21   -15.57     0.58)  ; 12
+                    (  540.76   230.94   -14.20     0.58)  ; 13
+                    (  542.22   230.31   -13.07     0.58)  ; 14
+                    (  543.97   230.00   -12.60     0.58)  ; 15
+                    (  546.30   229.36   -12.22     0.58)  ; 16
+                    (  548.35   228.73   -11.58     0.58)  ; 17
+                    (  549.51   227.78   -10.05     0.58)  ; 18
+                    (  550.39   225.57    -7.45     0.58)  ; 19
+                    (  552.14   223.99    -6.35     0.58)  ; 20
+                    (  553.89   223.99    -6.13     0.58)  ; 21
+                    (  555.93   223.68    -5.42     0.58)  ; 22
+                    (  556.81   223.04    -5.40     0.58)  ; 23
+                    (  557.10   221.78    -5.17     0.58)  ; 24
+                    (  557.39   219.57    -4.50     0.58)  ; 25
+                    (  558.56   218.30    -3.92     0.58)  ; 26
+                    (  560.02   216.09    -3.82     0.58)  ; 27
+                    (  562.35   216.09    -3.55     0.58)  ; 28
+                    (  563.23   215.46    -3.38     0.58)  ; 29
+                    (  563.81   213.25    -2.88     0.58)  ; 30
+                    (  564.69   211.98    -2.15     0.58)  ; 31
+                    (  565.86   210.09    -1.38     0.58)  ; 32
+                    (  569.07   209.14    -1.22     0.58)  ; 33
+                    (  570.23   208.19    -1.55     0.58)  ; 34
+                    (  571.98   206.30    -2.47     0.58)  ; 35
+                    (  574.03   204.08    -4.97     0.58)  ; 36
+                    (  574.90   202.50    -5.48     0.58)  ; 37
+                    (  575.19   200.92    -6.13     0.58)  ; 38
+                    (  576.65   198.71    -6.65     0.58)  ; 39
+                    (  578.11   198.40    -7.43     0.58)  ; 40
+                    (  578.70   196.82    -7.35     0.58)  ; 41
+                    (  580.15   195.87    -5.05     0.58)  ; 42
+                    (  582.78   194.29    -2.45     0.58)  ; 43
+                    (  584.82   192.08    -0.55     0.58)  ; 44
+                    (  586.57   189.55     0.10     0.58)  ; 45
+                    (  587.74   187.59     0.63     0.58)  ; 46
+                    (  588.62   184.75     1.10     0.58)  ; 47
+                    (  590.08   182.53     2.38     0.58)  ; 48
+                    (  591.54   181.59     3.17     0.58)  ; 49
+                    (  591.83   180.01     3.45     0.58)  ; 50
+                    (  593.58   178.43     4.17     0.58)  ; 51
+                    (  593.29   176.85     4.80     0.58)  ; 52
+                    (  595.04   175.90     5.90     0.58)  ; 53
+                    (  595.33   174.32     6.82     0.58)  ; 54
+                    (  595.62   172.74     7.75     0.58)  ; 55
+                    (  597.66   171.16     8.90     0.58)  ; 56
+                    (  600.00   169.26     9.93     0.58)  ; 57
+                    (  602.62   167.37    11.15     0.58)  ; 58
+                    (  606.13   167.05    12.72     0.58)  ; 59
+                    (  607.29   165.79    13.90     0.58)  ; 60
+                    (  609.34   165.15    14.52     0.29)  ; 61
+                    (  610.50   163.57    15.07     0.29)  ; 62
+                    (  611.67   162.63    15.30     0.29)  ; 63
+                    (  614.59   162.63    15.57     0.29)  ; 64
+                    (  615.17   161.68    15.75     0.29)  ; 65
+                    (  617.21   160.73    15.92     0.29)  ; 66
+                    (  620.42   160.73    16.32     0.29)  ; 67
+                    (  621.88   161.36    18.80     0.29)  ; 68
+                    (  622.76   162.94    19.48     0.29)  ; 69
+                     Low
+                  |
+                    (  534.93   247.49   -21.28     0.88)  ; 1, R-1-1-1-1-1-1-1-1-2
+                    (  537.55   247.18   -18.30     0.88)  ; 2
+                    (  538.43   246.55   -15.77     0.88)  ; 3
+                    (  539.30   246.86   -14.07     0.88)  ; 4
+                    (  539.60   247.81   -13.87     0.88)  ; 5
+                    (  540.76   249.39   -11.73     0.88)  ; 6
+                    (  542.22   251.92   -11.47     0.58)  ; 7
+                    (  543.39   253.81   -10.65     0.58)  ; 8
+                    (  545.14   254.76    -8.80     0.58)  ; 9
+                    (  548.64   255.39    -8.07     0.58)  ; 10
+                    (  550.98   255.39    -7.05     0.58)  ; 11
+                    (  552.44   254.76    -5.80     0.58)  ; 12
+                    (  554.48   255.39    -5.03     0.58)  ; 13
+                    (  555.94   256.97    -4.27     0.58)  ; 14
+                    (  557.98   259.19    -2.63     0.58)  ; 15
+                    (  557.40   260.13    -2.50     0.58)  ; 16
+                    (  556.81   260.13    -0.52     0.58)  ; 17
+                    (  556.81   261.08     1.65     0.58)  ; 18
+                    (  555.65   260.45     1.90     0.58)  ; 19
+                    (  557.11   259.82     2.95     0.58)  ; 20
+                    (  560.02   260.13     3.65     0.58)  ; 21
+                    (  562.07   260.45     4.17     0.29)  ; 22
+                    (  562.94   262.35     4.72     0.29)  ; 23
+                    (  564.98   263.93     5.05     0.29)  ; 24
+                    (  567.90   265.19     6.05     0.29)  ; 25
+                    (  569.95   264.87     7.85     0.29)  ; 26
+                    (  571.11   263.93     8.57     0.29)  ; 27
+                    (  572.57   262.35     9.75     0.29)  ; 28
+                    (  575.78   262.03    10.92     0.58)  ; 29
+                    (  578.12   262.98    11.30     0.58)  ; 30
+                    (  579.87   265.51    12.27     0.58)  ; 31
+                    (  582.20   268.03    13.27     0.58)  ; 32
+                    (  585.03   272.14    13.97     0.58)  ; 33
+                    (  587.95   275.62    14.13     0.58)  ; 34
+                    (  590.58   280.04    15.02     0.58)  ; 35
+                    (  593.20   281.94    16.07     0.58)  ; 36
+                    (  596.12   283.52    16.70     0.58)  ; 37
+                    (  598.16   283.52    17.80     0.58)  ; 38
+                    (  599.33   282.57    17.90     0.58)  ; 39
+                     Low
+                  )  ;  End of split
+                |
+                  (  495.85   255.39   -52.67     1.17)  ; 1, R-1-1-1-1-1-1-1-2
+                  (  496.73   256.97   -52.82     1.17)  ; 2
+                  (  498.77   258.24   -53.05     1.17)  ; 3
+                  (  501.11   259.50   -53.72     1.17)  ; 4
+                  (  502.27   261.08   -54.92     1.17)  ; 5
+                  (  502.57   263.29   -55.15     1.17)  ; 6
+                  (  503.44   265.51   -55.83     1.17)  ; 7
+                  (  504.02   268.67   -55.90     1.17)  ; 8
+                  (  504.02   271.19   -56.32     1.17)  ; 9
+                  (  504.02   273.41   -56.47     0.88)  ; 10
+                  (  504.32   276.25   -57.17     1.17)  ; 11
+                  (  505.19   278.15   -58.33     1.17)  ; 12
+                  (  506.94   280.67   -58.85     1.17)  ; 13
+                  (  507.82   282.57   -60.47     1.17)  ; 14
+                  (  507.82   284.47   -61.38     1.17)  ; 15
+                  (  508.11   286.68   -63.72     1.17)  ; 16
+                  (  508.40   288.89   -65.35     1.17)  ; 17
+                  (  508.99   290.79   -65.43     1.17)  ; 18
+                  (  510.15   293.00   -66.50     1.17)  ; 19
+                  (  511.90   294.58   -68.05     1.17)  ; 20
+                  (  513.65   295.84   -69.82     1.17)  ; 21
+                  (  515.70   297.11   -71.63     1.17)  ; 22
+                  (  518.91   297.74   -72.38     1.17)  ; 23
+                  (  520.95   298.69   -73.65     1.17)  ; 24
+                  (  522.70   300.27   -75.43     1.17)  ; 25
+                  (  525.04   301.85   -77.35     0.88)  ; 26
+                  (  525.33   304.37   -78.65     0.88)  ; 27
+                  (  524.74   305.64   -80.10     0.88)  ; 28
+                  (  526.49   305.95   -82.20     0.88)  ; 29
+                  (  527.66   307.53   -83.75     0.88)  ; 30
+                  (  528.25   309.43   -86.85     0.88)  ; 31
+                  (  528.83   311.07   -87.38     0.88)  ; 32
+                  (  528.83   312.97   -90.07     0.88)  ; 33
+                  (  529.41   314.55   -94.45     0.88)  ; 34
+                  (  530.00   315.50   -98.05     0.88)  ; 35
+                  (  531.16   318.02  -103.35     0.88)  ; 36
+                  (  532.33   319.60  -107.32     0.88)  ; 37
+                  (  534.08   321.18  -110.70     0.58)  ; 38
+                  (  536.12   321.82  -112.47     0.58)  ; 39
+                  (  537.88   324.03  -115.88     0.58)  ; 40
+                  (  540.50   326.24  -118.75     0.58)  ; 41
+                  (  542.84   327.82  -121.17     0.58)  ; 42
+                  (  545.75   330.03  -124.30     0.58)  ; 43
+                  (  548.09   331.61  -126.95     0.58)  ; 44
+                  (  551.01   331.61  -127.90     0.58)  ; 45
+                  (  554.22   332.56  -128.75     0.58)  ; 46
+                  (  557.11   333.83  -129.80     0.58)  ; 47
+                   High
+                )  ;  End of split
+              |
+                (  476.26   259.20   -51.15     3.21)  ; 1, R-1-1-1-1-1-1-2
+                (  476.55   264.57   -52.08     3.21)  ; 2
+                (  477.72   268.68   -52.55     3.21)  ; 3
+                (  478.89   271.27   -54.52     3.21)  ; 4
+                (  479.47   274.75   -55.35     3.21)  ; 5
+                (  479.18   280.12   -55.52     3.21)  ; 6
+                (  479.76   285.49   -56.12     3.21)  ; 7
+                (  480.05   290.86   -57.70     3.21)  ; 8
+                (  480.64   294.34   -58.50     3.21)  ; 9
+                (  481.51   299.52   -58.35     3.50)  ; 10
+                (  481.80   305.84   -59.47     3.50)  ; 11
+                (  481.51   311.85   -60.72     3.50)  ; 12
+                (  480.93   314.69   -62.33     3.50)  ; 13
+                (  481.22   316.59   -62.67     3.50)  ; 14
+
+                (Cross
+                  (Color Green)
+                  (Name "Marker 3")
+                  (  474.11   257.85   -51.69     0.07)  ; 1
+                  (  479.03   256.89   -50.71     0.07)  ; 2
+                  (  479.32   258.07   -49.07     0.07)  ; 3
+                  (  479.54   258.73   -49.07     0.07)  ; 4
+                  (  479.10   259.76   -49.07     0.07)  ; 5
+                  (  479.18   261.97   -49.10     0.07)  ; 6
+                  (  477.49   263.07   -49.10     0.07)  ; 7
+                  (  478.96   264.10   -49.55     0.07)  ; 8
+                  (  473.59   261.67   -49.55     0.07)  ; 9
+                  (  477.93   259.91   -49.55     0.07)  ; 10
+                  (  478.07   261.52   -49.55     0.07)  ; 11
+                  (  474.70   263.07   -50.38     0.07)  ; 12
+                  (  474.70   266.08   -50.38     0.07)  ; 13
+                  (  474.48   266.96   -50.38     0.07)  ; 14
+                  (  474.18   264.10   -51.14     0.07)  ; 15
+                  (  479.18   264.69   -51.14     0.07)  ; 16
+                  (  474.77   268.21   -51.97     0.07)  ; 17
+                  (  476.09   268.95   -51.97     0.07)  ; 18
+                  (  480.87   269.98   -51.57     0.07)  ; 19
+                  (  481.45   271.89   -51.57     0.07)  ; 20
+                  (  481.60   272.70   -51.57     0.07)  ; 21
+                  (  477.27   271.45   -50.01     0.07)  ; 22
+                  (  474.04   265.42   -53.72     0.07)  ; 23
+                  (  480.13   269.76   -53.72     0.07)  ; 24
+                  (  481.67   274.39   -51.57     0.07)  ; 25
+                  (  480.79   277.18   -51.57     0.07)  ; 26
+                  (  480.28   279.83   -51.57     0.07)  ; 27
+                  (  478.00   279.46   -51.57     0.07)  ; 28
+                  (  477.34   274.24   -51.38     0.07)  ; 29
+                  (  476.97   275.42   -51.38     0.07)  ; 30
+                  (  477.05   279.02   -52.69     0.07)  ; 31
+                  (  476.97   281.01   -52.69     0.07)  ; 32
+                  (  480.28   281.60   -53.88     0.07)  ; 33
+                  (  480.72   283.88   -54.01     0.07)  ; 34
+                  (  481.09   286.01   -52.96     0.07)  ; 35
+                  (  480.72   285.49   -52.96     0.07)  ; 36
+                  (  478.52   286.60   -52.96     0.07)  ; 37
+                  (  476.90   285.27   -52.96     0.07)  ; 38
+                  (  477.71   290.71   -53.91     0.07)  ; 39
+                  (  477.19   293.73   -53.91     0.07)  ; 40
+                  (  478.96   292.48   -54.51     0.07)  ; 41
+                  (  477.12   286.60   -54.51     0.07)  ; 42
+                  (  476.97   287.33   -54.51     0.07)  ; 43
+                  (  481.01   294.90   -55.24     0.07)  ; 44
+                  (  481.53   292.70   -55.24     0.07)  ; 45
+                  (  475.36   279.10   -55.77     0.07)  ; 46
+                  (  475.65   280.42   -55.77     0.07)  ; 47
+                  (  476.09   282.77   -55.77     0.07)  ; 48
+                  (  481.67   287.55   -55.77     0.07)  ; 49
+                  (  476.53   289.61   -55.77     0.07)  ; 50
+                  (  480.72   275.42   -56.25     0.07)  ; 51
+                  (  481.89   291.52   -56.25     0.07)  ; 52
+                  (  482.19   286.82   -56.97     0.07)  ; 53
+                  (  480.87   279.39   -56.26     0.07)  ; 54
+                  (  482.55   296.60   -55.92     0.07)  ; 55
+                  (  482.78   297.70   -55.92     0.07)  ; 56
+                  (  482.85   300.93   -56.52     0.07)  ; 57
+                  (  479.47   299.02   -56.52     0.07)  ; 58
+                  (  482.04   302.70   -57.74     0.07)  ; 59
+                  (  482.70   305.55   -55.90     0.07)  ; 60
+                  (  478.96   304.67   -59.47     0.07)  ; 61
+                  (  478.96   305.41   -59.47     0.07)  ; 62
+                  (  483.80   306.66   -59.47     0.07)  ; 63
+                  (  478.00   301.21   -59.78     0.07)  ; 64
+                  (  482.11   315.70   -59.36     0.07)  ; 65
+                  (  477.63   313.79   -59.36     0.07)  ; 66
+                  (  478.66   312.39   -58.80     0.07)  ; 67
+                  (  483.00   311.43   -60.05     0.07)  ; 68
+                  (  483.58   309.67   -61.25     0.07)  ; 69
+                  (  483.29   308.49   -61.25     0.07)  ; 70
+                  (  478.66   310.04   -61.25     0.07)  ; 71
+                  (  482.63   312.17   -62.97     0.07)  ; 72
+                )  ;  End of markers
+                (
+                  (  478.90   316.13   -62.80     1.17)  ; 1, R-1-1-1-1-1-1-2-1
+                  (  478.02   316.44   -67.17     1.17)  ; 2
+                  (  477.44   317.39   -69.75     1.17)  ; 3
+                  (  475.98   319.29   -71.90     1.17)  ; 4
+                  (  474.52   320.24   -75.43     1.17)  ; 5
+                  (  472.77   320.55   -75.60     1.17)  ; 6
+                  (  470.73   320.87   -77.85     1.17)  ; 7
+                  (  469.56   321.50   -80.15     1.17)  ; 8
+                  (  467.52   323.40   -81.95     1.17)  ; 9
+                  (  466.35   324.98   -83.80     1.17)  ; 10
+                  (  466.35   326.24   -85.33     1.17)  ; 11
+                  (  465.48   327.82   -86.72     1.17)  ; 12
+                  (  464.02   330.03   -88.10     1.17)  ; 13
+                  (  462.85   332.56   -89.20     1.17)  ; 14
+                  (  460.81   334.46   -90.63     1.17)  ; 15
+                  (  458.76   335.41   -92.42     1.17)  ; 16
+                  (  457.30   336.04   -93.90     1.17)  ; 17
+                  (  455.55   336.04   -95.20     1.17)  ; 18
+                  (  453.22   336.99   -96.85     1.17)  ; 19
+                  (
+                    (  450.65   336.73   -96.93     0.88)  ; 1, R-1-1-1-1-1-1-2-1-1
+                    (  448.03   337.68   -97.02     0.88)  ; 2
+                    (  443.94   339.58   -97.30     0.58)  ; 3
+                    (  440.44   341.79   -97.63     0.58)  ; 4
+                    (  437.52   344.00   -97.92     0.58)  ; 5
+                    (  435.77   344.95   -98.23     0.58)  ; 6
+                    (  433.43   346.84   -94.75     0.58)  ; 7
+                    (  431.68   349.06   -90.85     0.58)  ; 8
+                    (  428.47   350.95   -87.28     0.58)  ; 9
+                    (  426.72   352.85   -86.45     0.58)  ; 10
+                    (  424.10   355.69   -85.35     0.58)  ; 11
+                    (  420.59   357.90   -84.95     0.58)  ; 12
+                    (  417.09   359.48   -83.95     0.58)  ; 13
+                    (  414.47   361.38   -83.47     0.58)  ; 14
+                    (  410.67   362.64   -82.68     0.58)  ; 15
+                    (  407.75   362.96   -82.50     0.58)  ; 16
+                    (  405.42   362.33   -82.20     0.58)  ; 17
+                    (  403.67   362.64   -81.93     0.58)  ; 18
+                    (  401.92   363.59   -81.60     0.58)  ; 19
+                    (  400.17   365.17   -81.60     0.58)  ; 20
+                    (  398.42   367.38   -81.43     0.58)  ; 21
+                    (  396.96   368.02   -81.43     0.58)  ; 22
+                    (  394.62   367.70   -81.13     0.58)  ; 23
+                    (  391.70   366.75   -79.27     0.58)  ; 24
+                    (  388.49   366.75   -77.20     0.58)  ; 25
+                    (  387.04   366.12   -75.78     0.58)  ; 26
+                    (  384.12   366.44   -74.42     0.29)  ; 27
+                    (  382.37   367.38   -73.45     0.29)  ; 28
+                    (  380.62   367.07   -72.40     0.29)  ; 29
+                    (  378.28   366.75   -72.35     0.29)  ; 30
+                    (  376.53   366.44   -71.88     0.29)  ; 31
+                    (  374.49   365.49   -71.28     0.29)  ; 32
+                    (  372.74   365.49   -70.45     0.29)  ; 33
+                    (  369.53   366.12   -68.93     0.29)  ; 34
+                    (  366.61   366.12   -66.90     0.29)  ; 35
+                    (  362.82   367.70   -65.67     0.29)  ; 36
+                    (  360.19   369.28   -64.82     0.29)  ; 37
+                    (  359.61   370.23   -63.60     0.29)  ; 38
+                    (  358.44   370.23   -61.85     0.29)  ; 39
+                    (  356.69   372.12   -60.32     0.29)  ; 40
+                    (  354.06   374.02   -59.90     0.29)  ; 41
+                     Normal
+                  |
+                    (  450.62   338.88   -97.02     0.88)  ; 1, R-1-1-1-1-1-1-2-1-2
+                    (  448.00   342.36   -97.10     0.88)  ; 2
+                    (  445.37   344.89   -97.32     0.88)  ; 3
+                    (  442.74   347.10   -97.45     0.88)  ; 4
+                    (  440.70   350.57   -97.57     0.88)  ; 5
+                    (  438.37   352.47   -97.57     0.88)  ; 6
+                    (  436.32   354.05   -97.75     0.88)  ; 7
+                    (  433.70   355.00   -97.87     0.88)  ; 8
+                    (  429.32   358.16   -98.00     0.88)  ; 9
+                    (  425.53   361.63   -98.27     0.88)  ; 10
+                    (  423.48   364.79   -98.27     0.88)  ; 11
+                    (  420.57   367.64   -98.30     0.88)  ; 12
+                    (  419.40   370.54   -97.92     0.58)  ; 13
+                    (  417.94   373.39   -98.07     0.58)  ; 14
+                    (  415.60   376.55   -98.23     0.58)  ; 15
+                    (  412.39   379.39   -98.53     0.58)  ; 16
+                    (  410.64   382.24   -99.15     0.58)  ; 17
+                    (  408.31   384.76   -99.65     0.58)  ; 18
+                    (  405.39   388.24  -100.77     0.58)  ; 19
+                    (  402.18   392.03  -101.82     0.29)  ; 20
+                    (  398.97   394.24  -101.95     0.29)  ; 21
+                    (  397.22   396.77  -102.52     0.29)  ; 22
+                    (  394.59   400.88  -103.05     0.29)  ; 23
+                    (  392.26   404.04  -103.67     0.29)  ; 24
+                    (  390.22   406.57  -105.35     0.29)  ; 25
+                    (  388.47   409.10  -108.55     0.29)  ; 26
+                    (  385.26   411.94  -108.55     0.29)  ; 27
+                    (  384.09   413.84  -109.57     0.29)  ; 28
+                    (  382.63   416.05  -109.63     0.29)  ; 29
+                    (  380.32   418.01  -110.15     0.29)  ; 30
+                    (  377.41   420.54  -110.75     0.29)  ; 31
+                    (  375.66   422.75  -112.57     0.29)  ; 32
+                    (  372.74   424.96  -113.35     0.29)  ; 33
+                     Normal
+                  )  ;  End of split
+                |
+                  (  482.39   321.33   -63.62     3.50)  ; 1, R-1-1-1-1-1-1-2-2
+                  (  482.39   325.12   -63.97     3.21)  ; 2
+                  (  482.39   328.59   -64.47     3.21)  ; 3
+                  (  483.55   332.07   -66.03     3.21)  ; 4
+                  (  484.43   335.55   -67.68     3.21)  ; 5
+                  (  485.28   338.02   -67.93     2.92)  ; 6
+                  (  485.57   339.91   -67.93     2.92)  ; 7
+                  (  485.79   340.08   -67.93     2.92)  ; 8
+                  (
+                    (  486.45   342.76   -68.32     2.92)  ; 1, R-1-1-1-1-1-1-2-2-1
+                    (  487.32   346.55   -69.40     2.63)  ; 2
+                    (  488.20   351.92   -70.67     3.21)  ; 3
+                    (  489.37   357.04   -71.03     3.21)  ; 4
+                    (  490.53   361.46   -71.57     3.21)  ; 5
+                    (  490.83   365.57   -72.70     3.21)  ; 6
+                    (  491.12   369.05   -72.75     3.21)  ; 7
+                    (  491.70   372.84   -73.22     3.21)  ; 8
+                    (  491.99   376.00   -73.47     3.21)  ; 9
+                    (
+                      (  492.87   379.79   -74.32     3.21)  ; 1, R-1-1-1-1-1-1-2-2-1-1
+                      (  494.04   383.58   -75.40     3.21)  ; 2
+                      (  494.62   388.64   -76.47     3.21)  ; 3
+                      (  495.79   392.12   -77.05     3.21)  ; 4
+                      (  496.75   396.60   -77.20     3.21)  ; 5
+                      (  497.62   401.66   -77.38     3.21)  ; 6
+                      (  497.92   405.45   -78.67     3.21)  ; 7
+                      (  499.67   412.78   -78.75     3.21)  ; 8
+                      (  500.54   419.10   -78.85     3.21)  ; 9
+                      (  501.42   424.47   -78.97     3.21)  ; 10
+                      (  503.46   429.21   -79.38     2.63)  ; 11
+                      (  503.75   433.64   -79.50     2.63)  ; 12
+                      (  504.04   438.69   -79.88     2.63)  ; 13
+                      (  504.63   442.49   -80.57     2.63)  ; 14
+                      (  504.63   446.91   -80.88     2.63)  ; 15
+                      (  505.21   452.60   -82.17     2.63)  ; 16
+                      (  505.80   457.97   -82.70     2.63)  ; 17
+                      (  505.80   462.46   -83.50     2.63)  ; 18
+                      (  505.80   466.88   -83.77     2.63)  ; 19
+                      (  506.09   472.57   -83.97     2.63)  ; 20
+                      (  506.67   477.63   -84.67     2.63)  ; 21
+                      (  507.55   482.37   -84.85     2.63)  ; 22
+                      (  508.13   486.16   -85.33     2.63)  ; 23
+                      (  509.30   491.53   -85.88     2.63)  ; 24
+                      (  511.05   496.59   -86.45     2.63)  ; 25
+                      (  511.92   501.64   -86.50     2.63)  ; 26
+                      (  511.51   505.46   -86.90     2.63)  ; 27
+                      (
+                        (  511.92   505.50   -86.90     2.63)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1
+                        (  511.92   509.29   -87.45     2.63)  ; 2
+                        (  513.38   512.77   -87.57     2.63)  ; 3
+                        (  513.97   516.87   -87.72     2.63)  ; 4
+                        (  513.97   520.35   -87.85     2.63)  ; 5
+                        (  514.84   523.51   -87.50     2.63)  ; 6
+                        (  515.43   527.62   -87.50     2.63)  ; 7
+                        (  516.01   531.09   -87.80     2.63)  ; 8
+                        (  516.30   535.20   -88.10     2.63)  ; 9
+                        (  517.18   537.41   -88.25     2.63)  ; 10
+
+                        (Cross
+                          (Color Green)
+                          (Name "Marker 3")
+                          (  510.91   510.25   -84.86     0.07)  ; 1
+                          (  514.36   509.81   -84.44     0.07)  ; 2
+                          (  510.91   507.68   -85.55     0.07)  ; 3
+                          (  518.40   535.99   -85.90     0.07)  ; 4
+                          (  515.32   533.19   -85.90     0.07)  ; 5
+                          (  515.39   532.02   -85.90     0.07)  ; 6
+                          (  516.86   529.66   -86.41     0.07)  ; 7
+                          (  516.86   528.71   -86.41     0.07)  ; 8
+                          (  514.95   528.34   -86.41     0.07)  ; 9
+                          (  514.73   527.38   -86.41     0.07)  ; 10
+                          (  514.58   525.03   -85.68     0.07)  ; 11
+                          (  513.63   523.71   -86.67     0.07)  ; 12
+                          (  512.82   522.09   -88.85     0.07)  ; 13
+                          (  514.51   517.83   -85.94     0.07)  ; 14
+                          (  514.73   515.55   -86.32     0.07)  ; 15
+                          (  514.66   513.34   -86.86     0.07)  ; 16
+                        )  ;  End of markers
+                        (
+                          (  517.76   542.47   -88.25     2.63)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1
+                          (  518.93   546.89   -88.47     2.63)  ; 2
+                          (  519.51   551.07   -88.85     2.63)  ; 3
+                          (  519.80   556.44   -89.10     2.63)  ; 4
+                          (  520.68   561.81   -89.38     2.63)  ; 5
+                          (  521.26   566.23   -89.65     2.63)  ; 6
+                          (  522.43   571.92   -89.90     2.63)  ; 7
+                          (  522.14   574.13   -90.10     2.63)  ; 8
+                          (  522.72   576.66   -90.18     2.63)  ; 9
+                          (  523.60   580.77   -90.22     2.33)  ; 10
+                          (  524.18   583.93   -90.28     2.33)  ; 11
+                          (  524.76   586.77   -90.40     2.33)  ; 12
+                          (  526.51   589.93   -90.65     2.33)  ; 13
+                          (  527.10   593.41   -91.03     2.33)  ; 14
+                          (  527.10   595.68   -91.17     2.33)  ; 15
+                          (  527.10   600.11   -91.27     2.33)  ; 16
+                          (  526.81   603.27   -91.50     2.33)  ; 17
+                          (  527.10   606.11   -91.65     2.04)  ; 18
+                          (  528.27   609.59   -91.90     2.04)  ; 19
+                          (  529.72   612.75   -92.05     2.04)  ; 20
+                          (  531.18   616.86   -92.30     2.04)  ; 21
+                          (  531.77   619.45   -92.50     2.33)  ; 22
+                          (  532.06   622.92   -92.57     2.33)  ; 23
+                          (  531.77   625.77   -92.60     2.33)  ; 24
+                          (  532.06   627.98   -92.80     2.33)  ; 25
+                          (  533.52   632.40   -92.95     2.33)  ; 26
+                          (  533.81   635.25   -93.13     2.33)  ; 27
+                          (  534.39   638.72   -93.30     1.75)  ; 28
+                          (  533.52   642.20   -93.38     1.75)  ; 29
+                          (  534.10   645.04   -93.50     2.33)  ; 30
+                          (  535.56   649.15   -93.95     2.33)  ; 31
+                          (  536.26   651.40   -93.82     2.33)  ; 32
+                          (  537.42   655.19   -92.30     2.33)  ; 33
+                          (  538.01   657.72   -89.82     2.33)  ; 34
+                          (  538.30   661.20   -88.60     2.33)  ; 35
+                          (  539.76   663.09   -88.45     2.33)  ; 36
+                          (  540.05   664.67   -87.32     2.33)  ; 37
+                          (  540.34   666.57   -87.32     2.33)  ; 38
+                          (  540.05   669.10   -87.13     2.33)  ; 39
+                          (  541.22   672.89   -86.70     2.33)  ; 40
+                          (  542.09   676.05   -87.00     2.33)  ; 41
+                          (  542.97   679.52   -88.30     2.33)  ; 42
+                          (  544.14   683.32   -90.33     2.33)  ; 43
+                          (  544.43   686.48   -92.32     2.33)  ; 44
+                          (  545.30   690.58   -93.85     2.33)  ; 45
+                          (  546.47   695.01   -94.10     2.33)  ; 46
+                          (  547.64   700.13   -94.40     2.33)  ; 47
+                          (  548.51   704.55   -95.50     2.33)  ; 48
+                          (  548.51   707.40   -95.77     2.33)  ; 49
+                          (  549.10   711.19   -95.95     2.33)  ; 50
+                          (  550.26   713.08   -96.10     2.33)  ; 51
+                          (  550.26   714.66   -96.10     2.33)  ; 52
+                          (  550.26   717.82   -96.27     2.33)  ; 53
+                          (  550.85   720.04   -96.90     2.33)  ; 54
+                          (  552.02   723.51   -96.95     2.33)  ; 55
+                          (  553.18   727.62   -97.02     2.33)  ; 56
+                          (  553.77   730.46   -97.10     2.33)  ; 57
+                          (  554.64   734.26   -97.22     2.33)  ; 58
+                          (  554.35   736.15   -97.40     2.33)  ; 59
+                          (  554.93   739.31   -97.40     2.04)  ; 60
+                          (  556.39   742.16   -97.70     2.04)  ; 61
+                          (  556.68   744.18   -97.97     2.04)  ; 62
+                          (  556.68   747.02   -98.10     2.04)  ; 63
+                          (  556.98   748.60   -97.92     2.04)  ; 64
+                          (  557.27   750.50   -97.72     2.04)  ; 65
+                          (  558.73   752.71   -96.22     2.04)  ; 66
+                          (  559.60   754.61   -95.82     2.04)  ; 67
+                          (  559.89   757.77   -94.25     2.04)  ; 68
+                          (  560.19   760.61   -94.12     2.04)  ; 69
+                          (  561.06   764.09   -94.00     2.04)  ; 70
+                          (  561.94   768.51   -93.82     2.04)  ; 71
+                          (  562.23   772.30   -93.42     2.04)  ; 72
+                          (  562.23   775.15   -93.25     2.04)  ; 73
+                          (  563.10   776.41   -93.25     2.04)  ; 74
+                          (  564.27   779.25   -93.13     2.04)  ; 75
+                          (  564.27   781.47   -92.95     2.04)  ; 76
+                          (  564.27   783.05   -91.40     2.04)  ; 77
+                          (  564.27   783.99   -91.40     2.04)  ; 78
+                          (  565.15   786.27   -90.77     2.04)  ; 79
+                          (  566.61   790.38   -90.18     2.04)  ; 80
+                          (  567.19   793.54   -89.32     2.04)  ; 81
+                          (  567.77   797.01   -89.15     2.04)  ; 82
+                          (  567.77   799.86   -88.88     2.04)  ; 83
+                          (  568.65   802.39   -88.40     2.04)  ; 84
+                          (  569.82   804.91   -87.63     2.04)  ; 85
+                          (  570.98   807.44   -86.07     2.04)  ; 86
+                          (  571.28   810.29   -85.05     2.04)  ; 87
+                          (  571.86   811.87   -84.52     2.04)  ; 88
+                          (
+                            (  572.12   814.09   -85.57     1.17)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1
+                            (  572.12   815.99   -88.70     1.17)  ; 2
+                            (  572.70   818.51   -92.63     1.17)  ; 3
+                            (  572.70   821.36   -93.13     1.17)  ; 4
+                            (  573.58   825.47   -93.95     1.17)  ; 5
+                            (  573.87   829.57   -94.32     1.17)  ; 6
+                            (  574.74   833.68   -95.00     1.17)  ; 7
+                            (  574.45   835.58   -95.22     1.17)  ; 8
+                            (  575.04   838.11   -95.80     1.17)  ; 9
+                            (  576.20   841.27   -96.43     1.17)  ; 10
+                            (  576.79   844.74   -97.42     1.17)  ; 11
+                            (  577.37   848.85   -97.72     1.17)  ; 12
+                            (  578.25   854.22   -98.00     1.17)  ; 13
+                            (  578.54   858.96   -98.20     1.17)  ; 14
+                            (  579.41   863.07   -98.15     1.17)  ; 15
+                            (  579.70   866.23   -98.32     1.17)  ; 16
+                            (  580.29   870.34   -98.50     1.17)  ; 17
+                            (  580.87   874.76   -98.63     1.17)  ; 18
+                            (  581.16   878.24   -98.95     1.17)  ; 19
+                            (  582.04   879.82   -99.07     1.17)  ; 20
+                            (  582.62   882.98   -99.27     1.17)  ; 21
+                            (  582.91   888.35   -99.30     1.17)  ; 22
+                            (  583.50   893.72   -99.48     1.17)  ; 23
+                            (  584.08   897.51   -99.52     1.17)  ; 24
+                            (  583.79   900.99   -99.60     1.17)  ; 25
+                            (  584.08   904.78   -99.72     1.17)  ; 26
+                            (  584.67   906.68   -99.72     1.17)  ; 27
+                            (
+                              (  583.50   908.57   -99.90     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-1
+                              (  582.62   911.42  -100.20     0.88)  ; 2
+                              (  581.75   914.89  -100.32     0.88)  ; 3
+                              (  581.16   918.37  -100.40     0.88)  ; 4
+                              (  580.58   922.16  -100.40     0.88)  ; 5
+                              (  579.12   926.27  -100.40     0.88)  ; 6
+                              (  577.66   929.11   -99.92     0.88)  ; 7
+                              (  576.79   931.64   -98.77     0.88)  ; 8
+                              (  575.91   934.80   -98.55     0.88)  ; 9
+                              (  575.62   937.65   -97.85     0.88)  ; 10
+                              (  575.33   941.12   -97.90     0.88)  ; 11
+                              (  574.45   944.60   -97.82     0.88)  ; 12
+                              (  572.99   949.02   -97.70     0.88)  ; 13
+                              (  572.41   952.18   -97.57     0.88)  ; 14
+                              (  571.92   953.76   -97.80     0.88)  ; 15
+                              (
+                                (  570.76   955.74   -98.55     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-1-1
+                                (  569.01   958.26   -98.77     0.29)  ; 2
+                                (  567.84   960.48   -99.00     0.29)  ; 3
+                                (  567.26   962.69  -100.18     0.29)  ; 4
+                                (  565.51   964.27  -101.95     0.29)  ; 5
+                                (  564.34   967.11  -102.70     0.29)  ; 6
+                                (  562.88   969.96  -104.45     0.29)  ; 7
+                                (  562.00   972.48  -105.97     0.29)  ; 8
+                                (  561.13   974.38  -107.60     0.29)  ; 9
+                                (  559.96   975.64  -108.00     0.29)  ; 10
+                                (  559.09   976.91  -109.10     0.29)  ; 11
+                                (  558.50   979.12  -109.30     0.29)  ; 12
+                                (  557.63   980.70  -109.38     0.29)  ; 13
+                                (  555.58   982.60  -109.52     0.29)  ; 14
+                                (  554.42   982.91  -110.13     0.29)  ; 15
+                                (  553.54   985.12  -111.80     0.29)  ; 16
+                                (  552.08   986.39  -112.70     0.29)  ; 17
+                                (  550.62   987.97  -114.05     0.29)  ; 18
+                                (  550.04   989.23  -115.35     0.29)  ; 19
+                                (  548.87   990.50  -116.45     0.29)  ; 20
+                                (  548.87   992.08  -117.87     0.29)  ; 21
+                                (  549.75   993.34  -118.10     0.29)  ; 22
+                                (  549.46   994.60  -118.18     0.29)  ; 23
+                                (  548.00   995.24  -118.35     0.29)  ; 24
+                                (  546.83   997.13  -118.67     0.29)  ; 25
+                                (  545.37   999.98  -119.32     0.29)  ; 26
+                                (  543.91  1001.87  -120.92     0.29)  ; 27
+                                (  542.74  1003.14  -123.70     0.29)  ; 28
+                                (  541.87  1005.66  -123.93     0.29)  ; 29
+                                (  539.83  1007.56  -124.12     0.29)  ; 30
+                                (  537.49  1008.51  -125.30     0.29)  ; 31
+                                (  535.45  1010.09  -127.65     0.29)  ; 32
+                                (  533.70  1012.62  -128.13     0.29)  ; 33
+                                (  532.82  1014.83  -128.35     0.29)  ; 34
+                                (  531.36  1016.41  -128.38     0.29)  ; 35
+                                (  528.15  1017.36  -130.13     0.29)  ; 36
+                                (  527.28  1020.20  -132.20     0.29)  ; 37
+                                (  526.40  1022.48  -132.07     0.29)  ; 38
+                                (  525.24  1023.74  -132.88     0.29)  ; 39
+                                (  524.36  1023.74  -136.72     0.29)  ; 40
+                                (  522.90  1024.06  -139.63     0.29)  ; 41
+                                (  520.86  1025.32  -139.95     0.29)  ; 42
+                                (  519.40  1025.64  -141.30     0.29)  ; 43
+                                (  517.65  1025.95  -141.75     0.29)  ; 44
+                                (  517.94  1028.48  -142.27     0.29)  ; 45
+                                (  517.65  1030.69  -143.57     0.29)  ; 46
+                                (  516.19  1033.22  -144.10     0.29)  ; 47
+                                (  515.90  1035.12  -148.35     0.29)  ; 48
+                                (  516.48  1036.06  -150.40     0.29)  ; 49
+                                (  517.36  1037.64  -150.72     0.29)  ; 50
+                                (  515.61  1038.28  -152.70     0.29)  ; 51
+                                (  513.56  1039.54  -154.50     0.29)  ; 52
+                                (  512.40  1041.44  -155.55     0.29)  ; 53
+                                (  511.23  1044.28  -155.63     0.29)  ; 54
+                                (  509.77  1046.18  -155.88     0.29)  ; 55
+                                (  508.60  1047.44  -156.77     0.29)  ; 56
+                                (  509.19  1048.70  -157.13     0.29)  ; 57
+                                (  509.19  1051.23  -158.52     0.29)  ; 58
+                                (  508.60  1052.50  -158.52     0.29)  ; 59
+                                (  507.44  1055.66  -159.22     0.29)  ; 60
+                                (  506.85  1057.24  -159.55     0.29)  ; 61
+                                (  506.85  1060.08  -159.95     0.29)  ; 62
+                                (  507.73  1062.61  -160.07     0.29)  ; 63
+                                (  506.85  1064.50  -161.52     0.29)  ; 64
+                                (  504.81  1065.14  -161.52     0.29)  ; 65
+                                 Incomplete
+                              |
+                                (  571.63   956.29   -97.87     0.58)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-1-2
+                                (  570.76   958.50   -97.87     0.58)  ; 2
+                                (  569.00   961.03   -97.78     0.58)  ; 3
+                                (  567.25   964.51   -97.60     0.58)  ; 4
+                                (  566.09   967.04   -97.15     0.58)  ; 5
+                                (  565.21   968.30   -97.10     0.58)  ; 6
+                                (
+                                  (  562.97   969.43   -97.30     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-1-2-1
+                                  (  560.63   970.38   -99.80     0.29)  ; 2
+                                  (  560.34   972.28   -99.92     0.29)  ; 3
+                                  (  559.46   974.49  -100.07     0.29)  ; 4
+                                  (  558.59   975.75  -100.28     0.29)  ; 5
+                                  (  556.84   977.02  -100.68     0.29)  ; 6
+                                  (  555.96   978.60  -100.88     0.29)  ; 7
+                                  (  553.63   980.18  -101.25     0.29)  ; 8
+                                  (  551.29   981.76  -101.70     0.29)  ; 9
+                                  (  550.42   982.39  -100.70     0.29)  ; 10
+                                  (
+                                    (  549.10   982.58   -99.70     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-1-2-1-1
+                                    (  547.64   983.52   -96.72     0.29)  ; 2
+                                    (  545.30   985.10   -95.13     0.29)  ; 3
+                                    (  545.01   986.37   -94.95     0.29)  ; 4
+                                    (  543.26   987.00   -93.60     0.29)  ; 5
+                                    (  542.68   986.37   -92.65     0.29)  ; 6
+                                    (  542.09   987.32   -91.22     0.29)  ; 7
+                                    (  541.22   988.58   -90.92     0.29)  ; 8
+                                    (  539.17   988.58   -88.80     0.29)  ; 9
+                                    (  538.88   989.84   -88.50     0.29)  ; 10
+                                    (  537.72   990.79   -87.45     0.29)  ; 11
+                                    (  536.26   991.74   -86.47     0.29)  ; 12
+                                    (  535.38   992.37   -85.28     0.29)  ; 13
+                                    (  533.92   992.06   -85.28     0.29)  ; 14
+                                    (  533.05   992.37   -84.78     0.29)  ; 15
+                                    (  531.59   993.64   -84.50     0.29)  ; 16
+                                    (  530.42   993.64   -83.47     0.29)  ; 17
+                                    (  528.96   993.95   -82.75     0.29)  ; 18
+                                    (  527.21   996.16   -81.62     0.29)  ; 19
+                                    (  525.75   997.11   -79.78     0.29)  ; 20
+                                    (  524.29   997.43   -79.18     0.29)  ; 21
+                                    (  522.83   998.69   -79.07     0.29)  ; 22
+                                    (  521.67   998.06   -78.02     0.29)  ; 23
+                                    (  520.21   998.69   -77.88     0.29)  ; 24
+                                    (  518.75  1000.59   -76.32     0.29)  ; 25
+                                    (  517.58  1001.85   -75.05     0.29)  ; 26
+                                    (  516.12  1002.48   -73.65     0.29)  ; 27
+                                    (  514.08  1002.48   -72.55     0.29)  ; 28
+                                    (  512.91  1002.80   -71.38     0.29)  ; 29
+                                    (  512.04  1003.75   -71.07     0.29)  ; 30
+                                    (  510.58  1004.70   -70.15     0.29)  ; 31
+                                    (  507.95  1005.01   -68.97     0.29)  ; 32
+                                    (  506.20  1004.70   -67.60     0.29)  ; 33
+                                    (  503.87  1004.38   -67.20     0.29)  ; 34
+                                    (  504.16  1005.33   -66.03     0.29)  ; 35
+                                    (  503.28  1005.64   -64.60     0.29)  ; 36
+                                    (  501.53  1005.01   -64.38     0.29)  ; 37
+                                    (  500.36  1005.96   -64.07     0.29)  ; 38
+                                    (  500.07  1006.59   -62.72     0.29)  ; 39
+                                    (  498.90  1006.28   -61.60     0.29)  ; 40
+                                    (  497.15  1005.33   -61.60     0.29)  ; 41
+                                    (  496.28  1005.96   -61.15     0.29)  ; 42
+                                    (  494.32  1005.96   -60.57     0.29)  ; 43
+                                    (  492.28  1006.28   -59.78     0.29)  ; 44
+                                    (  490.82  1005.64   -59.02     0.29)  ; 45
+                                    (  488.19  1006.91   -57.92     0.29)  ; 46
+                                    (  486.74  1007.86   -56.85     0.29)  ; 47
+                                    (  485.28  1007.54   -55.65     0.29)  ; 48
+                                    (  484.98  1009.44   -54.35     0.29)  ; 49
+                                    (  483.82  1009.75   -53.05     0.29)  ; 50
+                                    (  483.23  1009.44   -53.05     0.29)  ; 51
+                                    (  482.07  1010.38   -52.77     0.29)  ; 52
+                                    (  481.77  1011.33   -51.60     0.29)  ; 53
+                                    (  479.73  1011.33   -50.10     0.29)  ; 54
+                                    (  477.40  1013.23   -49.17     0.29)  ; 55
+                                    (  476.81  1015.76   -48.18     0.29)  ; 56
+                                    (  475.06  1017.02   -46.97     0.29)  ; 57
+                                    (  472.14  1018.92   -45.65     0.29)  ; 58
+                                    (  472.14  1019.86   -44.80     0.29)  ; 59
+                                    (  470.39  1021.76   -44.25     0.29)  ; 60
+                                    (  467.77  1023.02   -42.82     0.29)  ; 61
+                                    (  465.14  1023.97   -41.00     0.29)  ; 62
+                                    (  463.97  1026.50   -39.88     0.29)  ; 63
+                                    (  461.94  1027.92   -38.13     0.29)  ; 64
+                                    (  460.48  1030.14   -37.02     0.29)  ; 65
+                                    (  459.31  1031.72   -35.20     0.29)  ; 66
+                                    (  457.94  1032.98   -32.50     0.29)  ; 67
+                                    (  455.31  1033.93   -30.80     0.29)  ; 68
+                                    (  454.44  1034.24   -29.40     0.29)  ; 69
+                                    (  452.69  1036.14   -28.42     0.29)  ; 70
+                                    (  450.94  1037.09   -27.35     0.29)  ; 71
+                                    (  448.89  1036.46   -26.60     0.29)  ; 72
+                                    (  448.02  1036.46   -26.25     0.29)  ; 73
+                                    (  447.73  1037.41   -26.22     0.29)  ; 74
+                                    (  446.27  1038.67   -24.77     0.29)  ; 75
+                                    (  443.93  1039.62   -22.47     0.29)  ; 76
+                                    (  443.06  1040.88   -19.82     0.29)  ; 77
+                                    (  441.31  1041.20   -17.32     0.29)  ; 78
+                                    (  438.97  1041.83   -15.73     0.29)  ; 79
+                                    (  438.10  1042.15   -14.75     0.29)  ; 80
+                                    (  438.10  1042.78   -14.60     0.29)  ; 81
+                                    (  437.80  1043.41   -14.40     0.29)  ; 82
+                                    (  437.51  1043.73   -13.72     0.29)  ; 83
+                                    (  436.93  1043.09   -13.72     0.29)  ; 84
+                                    (  434.89  1043.41   -13.32     0.29)  ; 85
+                                    (  433.43  1044.67   -12.95     0.29)  ; 86
+                                    (  431.68  1045.31   -12.55     0.29)  ; 87
+                                    (  430.22  1047.20   -11.25     0.29)  ; 88
+                                    (  428.76  1047.52   -10.55     0.29)  ; 89
+                                    (  427.30  1048.78   -10.22     0.29)  ; 90
+                                    (  424.67  1049.73    -9.05     0.29)  ; 91
+                                    (  424.67  1051.31    -8.45     0.29)  ; 92
+                                    (  423.80  1052.89    -7.05     0.29)  ; 93
+                                    (  422.92  1054.47    -5.53     0.29)  ; 94
+                                    (  421.75  1055.73    -4.27     0.29)  ; 95
+                                     Normal
+                                  |
+                                    (  550.71   984.60  -104.57     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-1-2-1-2
+                                    (  550.42   985.55  -106.35     0.29)  ; 2
+                                    (  549.25   985.55  -106.55     0.29)  ; 3
+                                    (  548.08   986.50  -106.95     0.29)  ; 4
+                                    (  548.38   988.08  -108.00     0.29)  ; 5
+                                    (  546.62   988.39  -110.92     0.29)  ; 6
+                                    (  546.04   989.66  -112.02     0.29)  ; 7
+                                    (  545.17   991.24  -112.97     0.29)  ; 8
+                                    (  543.71   992.19  -114.60     0.29)  ; 9
+                                    (  543.12   992.82  -115.42     0.29)  ; 10
+                                    (  543.12   993.77  -115.42     0.29)  ; 11
+                                    (  542.83   995.66  -115.63     0.29)  ; 12
+                                    (  544.00   997.56  -116.67     0.29)  ; 13
+                                    (  544.29   999.45  -118.07     0.29)  ; 14
+                                    (  543.41  1001.03  -119.90     0.29)  ; 15
+                                    (  542.83  1001.98  -123.00     0.29)  ; 16
+                                    (  544.00  1002.30  -125.63     0.29)  ; 17
+                                    (  544.29  1004.19  -127.05     0.29)  ; 18
+                                    (  543.41  1006.09  -128.72     0.29)  ; 19
+                                    (  543.71  1007.99  -129.17     0.29)  ; 20
+                                    (  542.54  1008.93  -130.07     0.29)  ; 21
+                                    (  543.41  1007.99  -129.80     0.29)  ; 22
+                                    (  543.12  1007.67  -129.97     0.29)  ; 23
+                                    (  542.83  1007.04  -130.00     0.29)  ; 24
+                                    (  541.66  1007.04  -130.25     0.29)  ; 25
+                                    (  541.08  1007.99  -130.65     0.29)  ; 26
+                                    (  540.50  1008.93  -132.38     0.29)  ; 27
+                                    (  540.20  1011.78  -133.88     0.29)  ; 28
+                                    (  539.62  1013.04  -134.65     0.29)  ; 29
+                                    (  538.45  1014.31  -136.77     0.29)  ; 30
+                                    (  536.70  1014.62  -138.35     0.29)  ; 31
+                                    (  535.83  1016.20  -138.38     0.29)  ; 32
+                                    (  535.24  1018.10  -139.15     0.29)  ; 33
+                                    (  534.08  1020.31  -141.02     0.29)  ; 34
+                                    (  532.62  1022.84  -142.20     0.29)  ; 35
+                                    (  531.16  1025.68  -143.82     0.29)  ; 36
+                                    (  530.57  1028.53  -146.72     0.29)  ; 37
+                                    (  529.70  1032.00  -148.05     0.29)  ; 38
+                                    (  528.82  1035.16  -149.95     0.29)  ; 39
+                                    (  527.07  1038.32  -151.93     0.29)  ; 40
+                                    (  525.91  1040.53  -152.42     0.29)  ; 41
+                                    (  525.91  1042.11  -153.30     0.29)  ; 42
+                                    (  525.32  1044.33  -153.35     0.29)  ; 43
+                                    (  524.15  1045.91  -153.38     0.29)  ; 44
+                                    (  523.86  1047.17  -153.43     0.29)  ; 45
+                                    (  525.03  1048.12  -153.43     0.29)  ; 46
+                                    (  526.49  1048.75  -153.50     0.29)  ; 47
+                                    (  526.92  1050.90  -153.85     0.29)  ; 48
+                                    (  525.75  1052.79  -154.13     0.29)  ; 49
+                                    (  525.17  1055.95  -154.90     0.29)  ; 50
+                                    (  525.46  1059.11  -156.10     0.29)  ; 51
+                                    (  525.75  1061.96  -157.05     0.29)  ; 52
+                                    (  525.46  1062.90  -157.05     0.29)  ; 53
+                                    (  524.29  1063.85  -157.27     0.29)  ; 54
+                                    (  523.42  1065.12  -158.52     0.29)  ; 55
+                                    (  522.54  1066.38  -160.65     0.29)  ; 56
+                                    (  522.54  1067.01  -161.28     0.29)  ; 57
+                                    (  521.67  1069.22  -161.85     0.29)  ; 58
+                                    (  519.92  1069.22  -161.95     0.29)  ; 59
+                                    (  518.16  1070.17  -161.95     0.29)  ; 60
+                                    (  518.16  1071.44  -161.95     0.29)  ; 61
+                                    (  518.16  1072.70  -161.95     0.29)  ; 62
+                                     High
+                                  )  ;  End of split
+                                |
+                                  (  564.92   970.51   -96.82     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-1-2-2
+                                  (  564.04   973.99   -96.50     0.29)  ; 2
+                                  (  562.58   977.78   -96.32     0.29)  ; 3
+                                  (  561.13   982.52   -96.15     0.29)  ; 4
+                                  (  560.54   985.05   -96.00     0.29)  ; 5
+                                  (  560.25   987.26   -95.80     0.29)  ; 6
+                                  (  559.37   989.79   -95.37     0.29)  ; 7
+                                  (  559.37   992.32   -94.78     0.29)  ; 8
+                                  (  558.79   993.58   -94.65     0.29)  ; 9
+                                  (  557.62   994.53   -94.30     0.29)  ; 10
+                                  (  556.75   996.11   -93.65     0.29)  ; 11
+                                  (  556.16   998.00   -92.92     0.29)  ; 12
+                                  (  554.71  1000.22   -92.05     0.29)  ; 13
+                                  (  554.12  1001.48   -91.07     0.29)  ; 14
+                                  (  552.37  1002.43   -90.13     0.29)  ; 15
+                                  (  550.33  1002.74   -89.95     0.29)  ; 16
+                                  (  548.87  1004.01   -88.93     0.29)  ; 17
+                                  (  547.12  1006.54   -88.02     0.29)  ; 18
+                                  (  545.37  1009.06   -87.47     0.29)  ; 19
+                                  (  543.47  1010.21   -87.02     0.29)  ; 20
+                                  (  542.31  1011.48   -85.47     0.29)  ; 21
+                                  (  541.43  1013.06   -85.07     0.29)  ; 22
+                                  (  539.68  1014.00   -84.85     0.29)  ; 23
+                                  (  538.22  1016.53   -84.48     0.29)  ; 24
+                                  (  537.35  1018.11   -83.42     0.29)  ; 25
+                                  (  535.01  1019.38   -82.32     0.29)  ; 26
+                                  (  533.84  1021.90   -82.10     0.29)  ; 27
+                                  (  532.09  1024.75   -81.72     0.29)  ; 28
+                                  (  530.93  1025.38   -81.32     0.29)  ; 29
+                                  (  529.51  1027.28   -81.47     0.29)  ; 30
+                                  (  529.51  1029.18   -81.50     0.29)  ; 31
+                                  (  529.51  1031.08   -81.88     0.29)  ; 32
+                                  (  528.64  1032.66   -82.00     0.29)  ; 33
+                                  (  528.35  1034.24   -82.38     0.29)  ; 34
+                                  (  528.06  1036.76   -83.23     0.29)  ; 35
+                                  (  528.64  1039.61   -84.95     0.29)  ; 36
+                                  (  528.64  1042.14   -86.20     0.29)  ; 37
+                                  (  528.06  1043.08   -86.60     0.29)  ; 38
+                                  (  527.76  1045.30   -86.88     0.29)  ; 39
+                                  (  527.76  1046.24   -87.13     0.29)  ; 40
+                                  (  526.60  1048.14   -87.10     0.29)  ; 41
+                                  (  524.55  1050.04   -87.02     0.29)  ; 42
+                                  (  521.93  1050.98   -86.65     0.29)  ; 43
+                                  (  520.76  1052.88   -85.40     0.29)  ; 44
+                                  (  519.89  1054.46   -83.77     0.29)  ; 45
+                                  (  519.30  1057.62   -81.67     0.29)  ; 46
+                                  (  518.72  1059.52   -80.95     0.29)  ; 47
+                                  (
+                                    (  517.05  1060.53   -82.95     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-1-2-2-1
+                                    (  515.60  1062.42   -84.82     0.29)  ; 2
+                                    (  513.84  1063.37   -85.10     0.29)  ; 3
+                                    (  512.09  1064.00   -85.33     0.29)  ; 4
+                                    (  511.22  1063.69   -85.40     0.29)  ; 5
+                                    (  509.76  1063.06   -85.85     0.29)  ; 6
+                                    (  509.47  1064.32   -87.20     0.29)  ; 7
+                                    (  508.01  1065.58   -87.50     0.29)  ; 8
+                                    (  505.67  1065.27   -87.65     0.29)  ; 9
+                                    (  504.51  1066.22   -87.30     0.29)  ; 10
+                                    (  503.92  1067.16   -85.10     0.29)  ; 11
+                                    (  503.92  1068.11   -83.47     0.29)  ; 12
+                                    (  504.21  1069.38   -82.68     0.29)  ; 13
+                                    (  502.76  1070.01   -79.90     0.29)  ; 14
+                                    (  500.13  1071.27   -78.28     0.29)  ; 15
+                                    (  498.38  1072.22   -77.25     0.29)  ; 16
+                                    (  497.50  1072.54   -76.22     0.29)  ; 17
+                                    (  495.46  1071.90   -76.22     0.29)  ; 18
+                                    (  494.58  1071.27   -76.00     0.29)  ; 19
+                                    (  492.54  1071.59   -75.92     0.29)  ; 20
+                                    (  491.96  1074.12   -75.43     0.29)  ; 21
+                                    (  490.50  1074.75   -74.35     0.29)  ; 22
+                                    (  489.33  1075.70   -73.17     0.29)  ; 23
+                                    (  487.58  1074.75   -70.40     0.29)  ; 24
+                                    (  486.71  1074.75   -69.92     0.29)  ; 25
+                                    (  485.54  1075.70   -69.92     0.29)  ; 26
+                                    (  484.95  1076.01   -69.67     0.29)  ; 27
+                                    (  482.91  1076.64   -69.65     0.29)  ; 28
+                                    (  482.91  1078.54   -69.22     0.29)  ; 29
+                                    (  482.04  1078.86   -68.45     0.29)  ; 30
+                                    (  480.87  1078.54   -67.55     0.29)  ; 31
+                                    (  479.41  1080.12   -65.90     0.29)  ; 32
+                                    (  477.08  1080.44   -65.78     0.29)  ; 33
+                                    (  474.16  1082.02   -65.50     0.29)  ; 34
+                                    (  472.70  1082.65   -65.88     0.29)  ; 35
+                                    (  471.82  1083.60   -66.82     0.29)  ; 36
+                                    (  472.11  1084.86   -67.28     0.29)  ; 37
+                                    (  470.36  1086.12   -68.80     0.29)  ; 38
+                                    (  468.03  1087.39   -69.80     0.29)  ; 39
+                                    (  466.86  1086.76   -70.52     0.29)  ; 40
+                                    (  465.40  1086.76   -67.85     0.29)  ; 41
+                                    (  464.82  1088.02   -65.63     0.29)  ; 42
+                                    (  462.60  1088.55   -63.53     0.29)  ; 43
+                                    (  460.56  1089.50   -63.47     0.29)  ; 44
+                                    (  458.51  1090.13   -63.75     0.29)  ; 45
+                                    (  456.76  1090.76   -63.90     0.29)  ; 46
+                                    (  454.72  1091.40   -64.55     0.29)  ; 47
+                                    (  453.84  1090.13   -67.45     0.29)  ; 48
+                                    (  451.51  1089.50   -68.45     0.29)  ; 49
+                                    (  449.47  1090.45   -69.18     0.29)  ; 50
+                                    (  448.88  1091.40   -69.50     0.29)  ; 51
+                                    (  447.72  1091.08   -69.63     0.29)  ; 52
+                                    (  445.67  1091.40   -69.88     0.29)  ; 53
+                                    (  443.92  1092.66   -70.82     0.29)  ; 54
+                                    (  443.05  1092.03   -72.30     0.29)  ; 55
+                                    (  441.00  1091.71   -72.32     0.29)  ; 56
+                                    (  440.42  1093.29   -72.32     0.29)  ; 57
+                                    (  439.25  1093.92   -72.38     0.29)  ; 58
+                                    (  437.21  1094.56   -72.47     0.29)  ; 59
+                                    (  435.75  1095.19   -72.70     0.29)  ; 60
+                                    (  434.29  1097.40   -73.17     0.29)  ; 61
+                                    (  433.13  1098.66   -73.22     0.29)  ; 62
+                                    (  431.67  1098.66   -73.35     0.29)  ; 63
+                                    (  430.50  1098.03   -73.42     0.29)  ; 64
+                                    (  429.04  1096.45   -73.47     0.29)  ; 65
+                                    (  427.58  1096.14   -73.97     0.29)  ; 66
+                                    (  427.29  1096.77   -73.97     0.29)  ; 67
+                                    (  426.12  1097.08   -74.18     0.29)  ; 68
+                                    (  423.79  1098.03   -74.63     0.29)  ; 69
+                                    (  420.87  1099.61   -75.50     0.29)  ; 70
+                                    (  418.83  1100.24   -75.67     0.29)  ; 71
+                                    (  419.12  1102.46   -75.90     0.29)  ; 72
+                                    (  417.37  1104.35   -77.45     0.29)  ; 73
+                                    (  416.49  1105.30   -77.68     0.29)  ; 74
+                                    (  414.74  1105.30   -77.68     0.29)  ; 75
+                                    (  413.57  1104.98   -77.68     0.29)  ; 76
+                                    (  412.99  1105.93   -77.68     0.29)  ; 77
+                                    (  412.41  1107.83   -77.68     0.29)  ; 78
+                                    (  409.20  1109.41   -78.07     0.29)  ; 79
+                                    (  407.15  1109.72   -78.10     0.29)  ; 80
+                                    (  404.53  1110.67   -78.25     0.29)  ; 81
+                                    (  403.07  1111.62   -78.25     0.29)  ; 82
+                                    (  401.61  1113.20   -78.40     0.29)  ; 83
+                                    (  400.73  1114.46   -78.45     0.29)  ; 84
+                                    (  400.44  1116.99   -78.60     0.29)  ; 85
+                                     Normal
+                                  |
+                                    (  518.43  1061.73   -80.22     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-1-2-2-2
+                                    (  519.01  1064.89   -79.18     0.29)  ; 2
+                                    (  519.89  1067.73   -78.97     0.29)  ; 3
+                                    (  519.59  1069.38   -78.70     0.29)  ; 4
+                                    (  520.47  1069.69   -78.32     0.29)  ; 5
+                                    (  521.64  1070.64   -78.22     0.29)  ; 6
+                                    (  522.51  1072.22   -76.13     0.29)  ; 7
+                                    (  523.39  1073.48   -74.53     0.29)  ; 8
+                                    (  522.80  1075.06   -74.45     0.29)  ; 9
+                                    (  522.80  1076.64   -73.55     0.29)  ; 10
+                                    (  524.55  1078.22   -73.22     0.29)  ; 11
+                                    (  526.30  1079.17   -70.65     0.29)  ; 12
+                                    (  527.47  1078.54   -66.63     0.29)  ; 13
+                                    (  529.51  1078.86   -61.67     0.29)  ; 14
+                                    (  531.27  1079.80   -58.78     0.29)  ; 15
+                                    (  531.56  1081.38   -55.03     0.29)  ; 16
+                                    (  531.27  1082.65   -50.25     0.29)  ; 17
+                                    (  531.85  1083.60   -46.10     0.29)  ; 18
+                                    (  534.48  1083.28   -42.17     0.29)  ; 19
+                                    (  535.93  1083.91   -38.80     0.29)  ; 20
+                                    (  537.69  1085.49   -36.10     0.29)  ; 21
+                                    (  539.73  1086.76   -33.15     0.29)  ; 22
+                                    (  538.85  1087.39   -33.10     0.29)  ; 23
+                                    (  537.98  1087.70   -32.00     0.29)  ; 24
+                                    (  537.69  1088.65   -28.98     0.29)  ; 25
+                                    (  539.14  1088.02   -25.87     0.29)  ; 26
+                                    (  540.02  1087.70   -25.60     0.29)  ; 27
+                                    (  539.73  1088.65   -25.50     0.29)  ; 28
+                                    (  538.27  1090.55   -24.52     0.29)  ; 29
+                                    (  537.39  1091.81   -21.38     0.29)  ; 30
+                                    (  538.56  1092.13   -18.75     0.29)  ; 31
+                                    (  539.14  1092.44   -16.38     0.29)  ; 32
+                                    (  539.44  1092.76   -16.00     0.29)  ; 33
+                                    (  538.56  1094.66   -14.13     0.29)  ; 34
+                                    (  536.81  1095.29   -12.65     0.29)  ; 35
+                                    (  536.52  1096.24    -9.75     0.29)  ; 36
+                                    (  534.48  1097.50    -3.25     0.29)  ; 37
+                                    (  533.60  1099.08    -1.95     0.29)  ; 38
+                                    (  535.06  1099.08    -1.05     0.29)  ; 39
+                                    (  535.93  1098.45     0.47     0.29)  ; 40
+                                    (  535.64  1100.03     2.88     0.29)  ; 41
+                                    (  534.77  1101.29     4.32     0.29)  ; 42
+                                    (  535.93  1100.98     8.07     0.29)  ; 43
+                                    (  536.81  1101.92    11.32     0.29)  ; 44
+                                    (  538.27  1100.66    14.48     0.29)  ; 45
+                                    (  538.85  1099.40    16.47     0.29)  ; 46
+                                    (  537.69  1098.76    17.72     0.29)  ; 47
+                                    (  536.52  1098.45    17.82     0.29)  ; 48
+                                     Low
+                                  )  ;  End of split
+                                )  ;  End of split
+                              )  ;  End of split
+                            |
+                              (  585.57   906.43   -99.88     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2
+                              (  586.74   906.75   -99.88     0.88)  ; 2
+                              (  587.62   907.38   -99.97     0.88)  ; 3
+                              (  588.49   909.59  -100.02     0.88)  ; 4
+                              (  589.95   912.44  -100.10     0.88)  ; 5
+                              (  592.58   915.60  -100.15     0.88)  ; 6
+                              (  594.04   918.12  -100.30     0.88)  ; 7
+                              (  596.95   921.60  -100.45     0.88)  ; 8
+                              (  599.29   925.08  -100.50     0.88)  ; 9
+                              (  601.92   928.55  -100.50     0.88)  ; 10
+                              (  605.42   931.71  -100.50     0.88)  ; 11
+                              (  607.75   934.24  -100.70     0.88)  ; 12
+                              (  610.09   936.77  -100.70     0.88)  ; 13
+                              (  610.67   938.35  -100.70     0.88)  ; 14
+                              (  610.96   939.30  -101.17     0.88)  ; 15
+                              (  612.13   940.24  -101.17     0.88)  ; 16
+                              (  614.17   941.82  -101.17     0.88)  ; 17
+                              (  616.21   943.09  -101.43     0.88)  ; 18
+                              (  618.26   945.30  -101.75     0.88)  ; 19
+                              (  620.88   947.51  -101.77     0.88)  ; 20
+                              (  622.05   948.78  -101.77     0.88)  ; 21
+                              (  622.63   950.04  -101.77     0.88)  ; 22
+                              (  623.22   952.25  -101.82     0.88)  ; 23
+                              (  624.39   953.20  -102.00     0.88)  ; 24
+                              (  626.43   954.46  -102.02     0.88)  ; 25
+                              (  627.60   956.36  -102.17     0.88)  ; 26
+                              (  629.05   957.94  -102.17     0.88)  ; 27
+                              (  631.97   960.15  -102.17     0.88)  ; 28
+                              (  634.02   962.36  -103.00     0.88)  ; 29
+                              (  635.77   963.94  -104.15     0.88)  ; 30
+
+                              (Cross
+                                (Color Orange)
+                                (Name "Marker 3")
+                                (  587.62   908.96  -100.02     0.88)  ; 1
+                                (  588.49   908.01  -100.02     0.88)  ; 2
+                                (  587.62   905.80  -100.02     0.88)  ; 3
+                                (  587.91   906.43   -99.80     0.88)  ; 4
+                                (  586.45   907.06   -99.90     0.88)  ; 5
+                                (  589.66   913.07  -100.15     0.88)  ; 6
+                                (  591.70   913.07  -100.15     0.88)  ; 7
+                                (  591.70   914.96  -100.15     0.88)  ; 8
+                                (  593.45   914.65  -100.15     0.88)  ; 9
+                                (  591.12   915.28  -100.15     0.88)  ; 10
+                                (  592.58   916.23  -100.15     0.88)  ; 11
+                                (  588.49   911.49   -99.92     0.88)  ; 12
+                                (  592.58   913.70  -100.15     0.88)  ; 13
+                                (  594.91   918.12  -100.45     0.88)  ; 14
+                                (  595.79   919.07  -100.45     0.88)  ; 15
+                                (  596.66   920.02  -100.45     0.88)  ; 16
+                                (  592.58   917.81  -100.10     0.88)  ; 17
+                                (  594.33   919.39  -100.10     0.88)  ; 18
+                                (  606.29   931.08  -100.50     0.88)  ; 19
+                                (  602.79   931.08  -100.50     0.88)  ; 20
+                                (  603.08   929.82  -100.50     0.88)  ; 21
+                                (  604.83   929.82  -100.50     0.88)  ; 22
+                                (  602.79   928.24  -100.50     0.88)  ; 23
+                                (  601.33   928.55  -100.50     0.88)  ; 24
+                                (  600.16   927.29  -100.28     0.88)  ; 25
+                                (  602.21   926.97  -100.28     0.88)  ; 26
+                                (  599.58   926.02  -100.28     0.88)  ; 27
+                                (  596.95   923.50  -100.05     0.88)  ; 28
+                                (  598.71   925.08  -100.05     0.88)  ; 29
+                                (  599.29   926.02  -100.05     0.88)  ; 30
+                                (  599.58   923.50  -100.05     0.88)  ; 31
+                                (  596.37   922.55  -100.05     0.88)  ; 32
+                                (  597.83   921.92   -99.95     0.88)  ; 33
+                                (  607.75   932.98  -100.70     0.88)  ; 34
+                                (  608.04   933.29  -100.70     0.88)  ; 35
+                                (  608.34   934.56  -100.70     0.88)  ; 36
+                                (  610.67   935.82  -100.70     0.88)  ; 37
+                                (  610.96   936.77  -100.70     0.88)  ; 38
+                                (  607.17   935.19  -100.65     0.88)  ; 39
+                                (  605.42   932.98  -100.65     0.88)  ; 40
+                                (  612.71   941.82  -101.17     0.88)  ; 41
+                                (  612.42   938.66  -101.17     0.88)  ; 42
+                                (  615.34   941.51  -101.43     0.88)  ; 43
+                                (  614.76   942.46  -101.43     0.88)  ; 44
+                                (  616.21   944.67  -101.77     0.88)  ; 45
+                                (  617.97   945.30  -101.77     0.88)  ; 46
+                                (  619.72   945.30  -101.77     0.88)  ; 47
+                                (  617.97   943.72  -101.77     0.88)  ; 48
+                                (  622.63   948.46  -101.82     0.88)  ; 49
+                                (  626.43   952.88  -102.02     0.88)  ; 50
+                                (  627.01   953.52  -102.02     0.88)  ; 51
+                                (  628.18   957.94  -102.17     0.88)  ; 52
+                                (  629.64   956.99  -103.00     0.88)  ; 53
+                                (  630.51   957.94  -103.00     0.88)  ; 54
+                                (  631.39   960.15  -103.00     0.88)  ; 55
+                                (  633.14   960.15  -103.00     0.88)  ; 56
+                                (  634.02   960.78  -103.00     0.88)  ; 57
+                                (  633.43   962.68  -103.00     0.88)  ; 58
+                                (  635.77   962.36  -104.15     0.88)  ; 59
+                                (  637.52   963.00  -104.15     0.88)  ; 60
+                              )  ;  End of markers
+                              (
+                                (  635.18   965.21  -104.38     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-1
+                                (  635.47   967.10  -104.38     0.88)  ; 2
+                                (  636.06   968.37  -104.55     0.88)  ; 3
+                                (  637.23   970.26  -105.30     0.88)  ; 4
+
+                                (Cross
+                                  (Color Orange)
+                                  (Name "Marker 3")
+                                  (  634.60   964.89  -104.38     0.88)  ; 1
+                                  (  634.02   965.52  -104.38     0.88)  ; 2
+                                  (  634.60   966.47  -104.38     0.88)  ; 3
+                                  (  636.64   965.84  -104.38     0.88)  ; 4
+                                  (  636.93   967.10  -104.38     0.88)  ; 5
+                                  (  636.06   965.21  -104.38     0.88)  ; 6
+                                  (  635.18   968.05  -104.55     0.88)  ; 7
+                                  (  637.52   968.05  -104.55     0.88)  ; 8
+                                  (  635.77   969.00  -105.30     0.88)  ; 9
+                                  (  638.10   969.63  -105.30     0.88)  ; 10
+                                )  ;  End of markers
+                                (
+                                  (  636.06   972.54  -105.35     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-1-1
+                                  (  634.31   974.75  -105.68     0.29)  ; 2
+                                  (  632.26   976.33  -105.97     0.29)  ; 3
+                                  (  629.05   977.91  -106.22     0.29)  ; 4
+                                  (  628.18   979.81  -106.22     0.29)  ; 5
+                                  (  627.01   981.70  -106.55     0.29)  ; 6
+                                  (  625.55   982.34  -106.67     0.29)  ; 7
+                                  (  624.09   982.65  -106.98     0.29)  ; 8
+                                  (  623.51   983.60  -107.00     0.29)  ; 9
+                                  (  622.05   985.18  -107.15     0.29)  ; 10
+                                  (  620.88   986.44  -107.78     0.29)  ; 11
+                                  (  619.72   987.08  -108.57     0.29)  ; 12
+                                  (  619.13   987.08  -108.57     0.29)  ; 13
+                                  (  618.55   987.08  -108.57     0.29)  ; 14
+                                  (  617.67   987.08  -109.22     0.29)  ; 15
+                                  (  616.21   988.02  -109.30     0.29)  ; 16
+                                  (  614.76   988.97  -109.48     0.29)  ; 17
+                                  (  613.59   991.18  -109.63     0.29)  ; 18
+                                  (  612.13   992.45  -109.82     0.29)  ; 19
+                                  (  610.38   993.71  -110.82     0.29)  ; 20
+                                  (  608.63   994.98  -112.05     0.29)  ; 21
+                                  (  608.04   995.92  -112.50     0.29)  ; 22
+                                  (  608.04   997.19  -112.63     0.29)  ; 23
+                                  (  606.88   998.45  -112.75     0.29)  ; 24
+                                  (  605.71   998.77  -113.95     0.29)  ; 25
+                                  (  605.71   999.40  -114.12     0.29)  ; 26
+                                  (  605.71  1000.03  -114.12     0.29)  ; 27
+                                  (  605.42  1001.30  -115.13     0.29)  ; 28
+                                  (  603.37  1002.24  -116.17     0.29)  ; 29
+                                  (  602.79  1003.82  -116.40     0.29)  ; 30
+                                  (  601.92  1004.83  -116.65     0.29)  ; 31
+                                  (  602.50  1006.10  -116.67     0.29)  ; 32
+                                  (  603.08  1007.05  -116.93     0.29)  ; 33
+                                  (  603.08  1008.63  -118.30     0.29)  ; 34
+                                  (  601.92  1008.94  -118.90     0.29)  ; 35
+                                  (  600.75  1010.84  -120.80     0.29)  ; 36
+                                  (  600.46  1013.37  -122.38     0.29)  ; 37
+                                  (  599.58  1015.26  -124.25     0.29)  ; 38
+                                  (  598.41  1016.53  -125.45     0.29)  ; 39
+                                  (  597.25  1016.84  -125.65     0.29)  ; 40
+                                  (  594.62  1018.42  -126.93     0.29)  ; 41
+                                  (  593.74  1019.05  -127.40     0.29)  ; 42
+                                  (  593.45  1020.63  -128.10     0.29)  ; 43
+                                  (  593.45  1021.27  -128.40     0.29)  ; 44
+                                  (  592.58  1022.21  -128.52     0.29)  ; 45
+                                  (  591.12  1021.90  -130.13     0.29)  ; 46
+                                  (  589.08  1021.90  -130.13     0.29)  ; 47
+                                  (  587.91  1023.16  -131.13     0.29)  ; 48
+                                  (  587.03  1024.11  -131.32     0.29)  ; 49
+                                  (  585.87  1026.64  -131.90     0.29)  ; 50
+                                  (  585.57  1028.85  -132.52     0.29)  ; 51
+                                  (  584.70  1030.43  -133.48     0.29)  ; 52
+                                  (  582.66  1032.96  -134.45     0.29)  ; 53
+                                  (  581.20  1034.85  -135.13     0.29)  ; 54
+                                  (  581.20  1036.12  -137.20     0.29)  ; 55
+                                  (  581.49  1039.28  -138.20     0.29)  ; 56
+                                  (  580.90  1041.18  -138.35     0.29)  ; 57
+                                  (  579.15  1042.44  -138.35     0.29)  ; 58
+                                  (  577.99  1044.65  -139.30     0.29)  ; 59
+                                  (  577.70  1046.23  -140.55     0.29)  ; 60
+                                  (  576.24  1047.50  -142.63     0.29)  ; 61
+                                  (  574.78  1047.81  -142.80     0.29)  ; 62
+                                  (  573.90  1049.08  -143.40     0.29)  ; 63
+                                  (  574.78  1049.71  -143.65     0.29)  ; 64
+                                  (  575.65  1050.97  -144.02     0.29)  ; 65
+                                  (  575.94  1053.82  -144.02     0.29)  ; 66
+                                  (  575.36  1057.29  -144.20     0.29)  ; 67
+                                  (  575.36  1060.77  -144.40     0.29)  ; 68
+                                  (  574.78  1064.88  -144.40     0.29)  ; 69
+                                  (  574.57  1067.47  -145.25     0.29)  ; 70
+                                  (  573.70  1070.63  -145.42     0.29)  ; 71
+                                  (  572.82  1074.10  -145.70     0.29)  ; 72
+                                  (  573.11  1078.84  -145.88     0.29)  ; 73
+                                  (  571.65  1082.63  -146.00     0.29)  ; 74
+                                  (  570.49  1086.43  -146.22     0.29)  ; 75
+                                  (  569.32  1091.17  -146.30     0.29)  ; 76
+                                  (  567.86  1094.96  -146.43     0.29)  ; 77
+                                  (  564.07  1098.75  -146.43     0.29)  ; 78
+                                  (  559.69  1101.91  -146.55     0.29)  ; 79
+                                  (  555.69  1104.19  -147.32     0.29)  ; 80
+                                  (  551.61  1106.71  -147.45     0.29)  ; 81
+                                   High
+                                |
+                                  (  637.69   972.92  -105.32     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-1-2
+                                  (  638.86   974.50  -105.32     0.88)  ; 2
+                                  (  640.03   975.76  -105.32     0.88)  ; 3
+                                  (  640.90   977.34  -105.95     0.88)  ; 4
+                                  (  640.61   978.61  -105.95     0.88)  ; 5
+                                  (  640.90   980.50  -106.80     0.88)  ; 6
+                                  (  641.19   981.77  -107.15     0.88)  ; 7
+                                  (  641.49   983.98  -107.15     0.88)  ; 8
+                                  (  642.07   985.56  -107.40     0.88)  ; 9
+                                  (  642.94   988.40  -107.60     0.88)  ; 10
+                                  (  642.36   991.56  -107.85     0.58)  ; 11
+                                  (  642.36   995.04  -108.75     0.58)  ; 12
+                                  (  642.94   996.93  -108.75     0.58)  ; 13
+                                  (  642.65   998.51  -109.22     0.58)  ; 14
+                                  (  642.07  1000.09  -109.27     0.58)  ; 15
+                                  (  642.65  1001.36  -110.32     0.58)  ; 16
+                                  (  643.53  1001.67  -110.55     0.58)  ; 17
+                                  (  645.57  1002.62  -111.45     0.58)  ; 18
+                                  (  645.57  1002.94  -112.80     0.58)  ; 19
+                                  (  646.15  1004.83  -112.80     0.58)  ; 20
+                                  (  646.15  1006.41  -112.95     0.58)  ; 21
+                                  (  646.74  1007.99  -113.18     0.58)  ; 22
+                                  (  646.45  1009.58  -113.50     0.58)  ; 23
+
+                                  (Cross
+                                    (Color Orange)
+                                    (Name "Marker 3")
+                                    (  636.82   972.60  -105.32     0.88)  ; 1
+                                    (  637.40   973.87  -105.32     0.88)  ; 2
+                                    (  638.86   973.55  -105.32     0.88)  ; 3
+                                    (  639.44   974.81  -105.32     0.88)  ; 4
+                                    (  639.44   977.03  -105.95     0.88)  ; 5
+                                    (  641.19   976.39  -105.95     0.88)  ; 6
+                                    (  641.49   977.97  -105.95     0.88)  ; 7
+                                    (  641.19   979.24  -106.80     0.88)  ; 8
+                                    (  640.61   981.77  -107.15     0.88)  ; 9
+                                    (  642.07   981.77  -107.15     0.88)  ; 10
+                                    (  641.78   982.71  -107.15     0.88)  ; 11
+                                    (  641.19   986.51  -107.60     0.88)  ; 12
+                                    (  642.94   985.87  -107.60     0.88)  ; 13
+                                    (  642.94   986.51  -107.60     0.88)  ; 14
+                                    (  643.53   988.09  -107.60     0.88)  ; 15
+                                    (  643.24   989.98  -107.85     0.58)  ; 16
+                                    (  641.78   990.61  -107.85     0.58)  ; 17
+                                    (  641.49   992.19  -108.75     0.58)  ; 18
+                                    (  643.24   992.51  -108.75     0.58)  ; 19
+                                    (  641.78   995.99  -108.75     0.58)  ; 20
+                                    (  643.82   996.30  -108.75     0.58)  ; 21
+                                    (  643.82   998.20  -109.27     0.58)  ; 22
+                                    (  642.36   998.83  -109.27     0.58)  ; 23
+                                    (  641.78   999.46  -109.27     0.58)  ; 24
+                                    (  643.24  1002.62  -111.45     0.58)  ; 25
+                                    (  644.40  1001.36  -111.45     0.58)  ; 26
+                                    (  645.86  1001.99  -111.45     0.58)  ; 27
+                                    (  646.15  1003.25  -112.80     0.58)  ; 28
+                                    (  644.99  1003.57  -112.80     0.58)  ; 29
+                                    (  645.86  1009.26  -113.50     0.58)  ; 30
+                                    (  646.15  1008.31  -113.50     0.58)  ; 31
+                                    (  647.91  1008.31  -113.50     0.58)  ; 32
+                                    (  645.86  1006.73  -113.50     0.58)  ; 33
+                                  )  ;  End of markers
+                                  (
+                                    (  647.32  1011.16  -113.10     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-1-2-1
+                                    (  647.91  1013.37  -112.75     0.29)  ; 2
+                                    (  647.61  1014.95  -112.75     0.29)  ; 3
+                                    (  647.03  1017.16  -111.90     0.29)  ; 4
+                                    (  645.86  1018.74  -110.80     0.29)  ; 5
+                                    (  644.99  1020.32  -106.93     0.29)  ; 6
+                                    (  644.70  1020.64  -103.95     0.29)  ; 7
+                                    (  644.70  1022.22  -102.40     0.29)  ; 8
+                                    (  644.11  1024.43  -100.97     0.29)  ; 9
+                                    (  645.57  1027.27   -99.55     0.29)  ; 10
+                                    (  645.28  1028.22   -97.00     0.29)  ; 11
+                                    (  647.03  1028.22   -95.95     0.29)  ; 12
+                                    (  648.20  1029.48   -94.57     0.29)  ; 13
+                                    (  649.07  1030.43   -93.10     0.29)  ; 14
+                                    (  649.95  1029.80   -91.93     0.29)  ; 15
+                                    (  651.12  1029.80   -91.20     0.29)  ; 16
+                                    (  652.28  1029.80   -90.63     0.29)  ; 17
+                                    (  653.16  1028.85   -89.55     0.29)  ; 18
+                                    (  654.33  1027.90   -88.82     0.29)  ; 19
+                                    (  655.78  1027.90   -87.05     0.29)  ; 20
+                                    (  656.66  1028.85   -86.80     0.29)  ; 21
+                                    (  659.87  1029.17   -86.38     0.29)  ; 22
+                                    (  660.75  1029.80   -84.95     0.29)  ; 23
+                                    (  662.20  1029.80   -84.35     0.29)  ; 24
+                                    (  663.37  1030.75   -82.55     0.29)  ; 25
+                                    (  664.83  1033.28   -81.80     0.29)  ; 26
+                                    (  665.41  1034.22   -80.65     0.29)  ; 27
+                                    (  667.46  1034.86   -80.30     0.29)  ; 28
+                                    (  667.46  1036.12   -79.00     0.29)  ; 29
+                                    (  667.75  1037.07   -79.00     0.29)  ; 30
+                                    (  667.46  1038.65   -77.80     0.29)  ; 31
+                                    (  667.75  1042.12   -76.45     0.29)  ; 32
+                                    (  668.04  1044.34   -76.07     0.29)  ; 33
+                                    (  668.54  1046.29   -75.70     0.29)  ; 34
+                                    (  670.00  1048.51   -75.18     0.29)  ; 35
+                                    (  672.04  1050.40   -74.65     0.29)  ; 36
+                                    (  672.91  1051.67   -74.53     0.29)  ; 37
+                                    (  675.25  1054.19   -74.27     0.29)  ; 38
+                                    (  677.58  1057.04   -74.02     0.29)  ; 39
+                                    (  679.33  1060.20   -73.88     0.29)  ; 40
+                                    (  679.33  1063.67   -73.72     0.29)  ; 41
+                                    (  681.09  1066.20   -73.53     0.29)  ; 42
+                                    (  681.67  1068.73   -73.20     0.29)  ; 43
+                                    (  682.25  1070.63   -73.13     0.29)  ; 44
+                                    (  683.71  1072.52   -73.07     0.29)  ; 45
+                                    (  684.59  1073.79   -72.35     0.29)  ; 46
+                                    (  685.46  1074.10   -72.35     0.29)  ; 47
+                                    (  688.09  1074.10   -72.32     0.29)  ; 48
+
+                                    (Cross
+                                      (Color Orange)
+                                      (Name "Marker 3")
+                                      (  647.03  1011.79  -112.75     0.29)  ; 1
+                                      (  647.91  1011.16  -112.75     0.29)  ; 2
+                                      (  647.03  1014.63  -111.90     0.29)  ; 3
+                                      (  648.78  1014.95  -111.90     0.29)  ; 4
+                                      (  647.03  1015.26  -110.80     0.29)  ; 5
+                                      (  647.03  1019.06  -109.65     0.29)  ; 6
+                                      (  647.03  1018.11  -109.65     0.29)  ; 7
+                                      (  643.53  1022.22  -100.97     0.29)  ; 8
+                                      (  643.53  1023.80   -99.55     0.29)  ; 9
+                                      (  644.11  1025.06   -99.55     0.29)  ; 10
+                                      (  646.15  1025.69   -99.55     0.29)  ; 11
+                                      (  646.15  1027.27   -97.02     0.29)  ; 12
+                                      (  646.74  1028.85   -95.25     0.29)  ; 13
+                                      (  647.91  1029.80   -93.10     0.29)  ; 14
+                                      (  650.82  1030.75   -91.20     0.29)  ; 15
+                                      (  652.87  1027.59   -88.82     0.29)  ; 16
+                                      (  651.99  1028.85   -88.82     0.29)  ; 17
+                                      (  654.91  1026.96   -86.80     0.29)  ; 18
+                                      (  656.66  1027.59   -86.80     0.29)  ; 19
+                                      (  657.54  1029.80   -86.38     0.29)  ; 20
+                                      (  659.58  1029.80   -84.95     0.29)  ; 21
+                                      (  661.04  1029.17   -84.35     0.29)  ; 22
+                                      (  663.96  1030.75   -82.55     0.29)  ; 23
+                                      (  662.79  1031.06   -81.80     0.29)  ; 24
+                                      (  665.71  1031.38   -81.80     0.29)  ; 25
+                                      (  668.62  1034.22   -79.00     0.29)  ; 26
+                                      (  668.33  1035.49   -79.00     0.29)  ; 27
+                                      (  666.29  1036.44   -79.00     0.29)  ; 28
+                                      (  668.04  1037.38   -79.00     0.29)  ; 29
+                                      (  666.87  1037.70   -77.80     0.29)  ; 30
+                                      (  666.87  1040.54   -76.07     0.29)  ; 31
+                                      (  667.46  1043.39   -76.07     0.29)  ; 32
+                                      (  669.41  1045.98   -75.18     0.29)  ; 33
+                                      (  670.29  1046.93   -75.18     0.29)  ; 34
+                                      (  670.87  1048.51   -74.65     0.29)  ; 35
+                                      (  679.33  1058.30   -73.88     0.29)  ; 36
+                                      (  674.67  1053.88   -73.88     0.29)  ; 37
+                                      (  678.46  1061.78   -73.53     0.29)  ; 38
+                                      (  678.46  1063.67   -73.53     0.29)  ; 39
+                                      (  679.04  1064.31   -73.53     0.29)  ; 40
+                                      (  679.63  1064.94   -73.53     0.29)  ; 41
+                                      (  680.50  1064.62   -73.53     0.29)  ; 42
+                                      (  681.09  1069.36   -73.07     0.29)  ; 43
+                                      (  681.96  1066.83   -72.47     0.29)  ; 44
+                                      (  681.96  1071.57   -72.47     0.29)  ; 45
+                                      (  684.59  1074.73   -72.47     0.29)  ; 46
+                                    )  ;  End of markers
+                                     Normal
+                                  |
+                                    (  644.61  1012.17  -113.88     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-1-2-2
+                                    (  643.15  1014.38  -115.02     0.29)  ; 2
+                                    (  641.40  1016.91  -117.65     0.29)  ; 3
+                                    (  640.81  1018.49  -118.97     0.29)  ; 4
+                                    (  641.98  1018.80  -119.22     0.29)  ; 5
+                                    (  643.44  1019.75  -119.27     0.29)  ; 6
+                                    (  644.02  1019.43  -122.22     0.29)  ; 7
+                                    (  644.90  1018.80  -122.52     0.29)  ; 8
+                                    (  646.07  1019.43  -124.35     0.29)  ; 9
+                                    (  645.78  1020.38  -124.35     0.29)  ; 10
+                                    (  644.90  1021.33  -125.60     0.29)  ; 11
+                                    (  644.02  1022.59  -127.30     0.29)  ; 12
+                                    (  642.86  1022.59  -128.80     0.29)  ; 13
+                                    (  642.57  1021.01  -129.25     0.29)  ; 14
+                                    (  642.86  1020.38  -130.10     0.29)  ; 15
+                                    (  642.57  1019.43  -131.38     0.29)  ; 16
+                                    (  642.27  1020.38  -132.82     0.29)  ; 17
+                                    (  643.15  1021.96  -135.00     0.29)  ; 18
+                                    (  644.32  1022.59  -135.20     0.29)  ; 19
+                                    (  643.15  1022.59  -135.45     0.29)  ; 20
+                                    (  641.40  1022.91  -135.72     0.29)  ; 21
+                                    (  640.23  1023.86  -136.77     0.29)  ; 22
+                                    (  639.94  1024.49  -139.40     0.29)  ; 23
+                                    (  641.11  1024.81  -141.20     0.29)  ; 24
+                                    (  642.27  1024.49  -142.20     0.29)  ; 25
+                                    (  642.57  1025.12  -142.30     0.29)  ; 26
+                                    (  642.27  1026.70  -142.52     0.29)  ; 27
+                                    (  641.69  1027.33  -142.60     0.29)  ; 28
+                                    (  639.65  1027.02  -142.85     0.29)  ; 29
+                                    (  639.06  1027.97  -144.63     0.29)  ; 30
+                                    (  638.19  1029.55  -144.90     0.29)  ; 31
+                                    (  638.48  1030.81  -145.13     0.29)  ; 32
+                                    (  639.94  1032.07  -145.68     0.29)  ; 33
+                                    (  639.36  1033.34  -147.52     0.29)  ; 34
+                                    (  637.31  1033.97  -147.70     0.29)  ; 35
+                                    (  636.15  1034.29  -148.98     0.29)  ; 36
+                                    (  636.15  1034.92  -149.25     0.29)  ; 37
+                                    (  636.44  1036.18  -149.40     0.29)  ; 38
+                                    (  635.85  1036.18  -150.63     0.29)  ; 39
+                                    (  634.10  1036.18  -150.93     0.29)  ; 40
+                                    (  633.52  1035.55  -151.13     0.29)  ; 41
+                                    (  632.06  1035.87  -151.13     0.29)  ; 42
+                                    (  631.48  1036.81  -151.13     0.29)  ; 43
+                                    (  630.60  1038.39  -151.15     0.29)  ; 44
+                                    (  629.43  1039.34  -152.95     0.29)  ; 45
+                                    (  629.73  1040.92  -153.13     0.29)  ; 46
+                                    (  630.60  1041.87  -153.43     0.29)  ; 47
+                                    (  632.35  1042.19  -155.52     0.29)  ; 48
+                                    (  633.81  1043.45  -155.63     0.29)  ; 49
+                                    (  632.94  1045.66  -157.20     0.29)  ; 50
+                                    (  632.35  1046.93  -157.63     0.29)  ; 51
+                                    (  630.89  1048.19  -158.15     0.29)  ; 52
+                                    (  628.85  1048.82  -159.38     0.29)  ; 53
+                                    (  628.27  1050.40  -159.38     0.29)  ; 54
+                                     Incomplete
+                                  )  ;  End of split
+                                )  ;  End of split
+                              |
+                                (  637.98   964.07  -104.57     0.58)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-2
+                                (  639.15   964.70  -104.72     0.58)  ; 2
+                                (  640.61   965.65  -104.82     0.58)  ; 3
+                                (  643.53   967.86  -105.70     0.58)  ; 4
+                                (  646.15   968.81  -106.45     0.58)  ; 5
+                                (  648.20   968.18  -106.57     0.58)  ; 6
+                                (  651.41   969.76  -106.75     0.58)  ; 7
+                                (  654.62   970.71  -107.55     0.58)  ; 8
+                                (
+                                  (  656.95   972.92  -108.35     0.58)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-2-1
+                                  (  658.99   975.13  -108.95     0.58)  ; 2
+                                  (  659.87   977.34  -110.22     0.58)  ; 3
+                                  (  660.16   978.92  -111.80     0.58)  ; 4
+                                  (  660.75   979.55  -111.80     0.58)  ; 5
+                                  (  662.20   980.50  -112.10     0.58)  ; 6
+                                  (  664.83   982.08  -112.65     0.58)  ; 7
+                                  (  666.29   983.35  -113.27     0.58)  ; 8
+                                  (  666.58   984.93  -113.27     0.58)  ; 9
+                                  (  667.75   985.87  -113.27     0.58)  ; 10
+                                  (  670.67   987.45  -114.00     0.58)  ; 11
+                                  (  673.29   988.40  -114.63     0.58)  ; 12
+                                  (  675.92   988.72  -114.65     0.58)  ; 13
+                                  (  677.67   989.98  -115.55     0.58)  ; 14
+                                  (  678.75   991.56  -116.03     0.29)  ; 15
+                                  (  680.21   992.51  -116.17     0.29)  ; 16
+                                  (  682.25   992.83  -117.05     0.29)  ; 17
+                                  (  684.59   992.20  -117.15     0.29)  ; 18
+                                  (  685.75   991.88  -117.15     0.29)  ; 19
+                                  (  686.05   992.51  -117.15     0.29)  ; 20
+                                  (  686.92   994.09  -117.15     0.29)  ; 21
+                                  (  688.09   994.72  -117.15     0.29)  ; 22
+                                  (  689.55   995.04  -117.07     0.29)  ; 23
+                                  (  691.88   995.36  -116.27     0.29)  ; 24
+                                  (  692.17   995.99  -115.30     0.29)  ; 25
+                                  (  693.05   997.25  -113.57     0.29)  ; 26
+                                  (  694.22   997.25  -111.43     0.29)  ; 27
+                                  (  695.09   998.20  -111.40     0.29)  ; 28
+                                  (
+                                    (  696.55   998.20  -111.53     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-2-1-1
+                                    (  698.59   999.15  -111.65     0.29)  ; 2
+                                    (  699.18   998.83  -112.02     0.29)  ; 3
+                                    (  700.64   998.20  -112.02     0.29)  ; 4
+                                    (  702.39   998.52  -112.02     0.29)  ; 5
+                                    (  703.26   998.83  -112.20     0.29)  ; 6
+                                    (  703.85   998.20  -112.38     0.29)  ; 7
+                                    (  704.14   997.25  -112.57     0.29)  ; 8
+                                    (  705.60   997.25  -112.85     0.29)  ; 9
+                                    (  707.06   997.88  -112.95     0.29)  ; 10
+                                    (  709.68   999.46  -113.13     0.29)  ; 11
+                                    (  713.48  1000.73  -113.75     0.29)  ; 12
+                                    (  716.98  1001.36  -114.63     0.29)  ; 13
+                                    (  719.31  1001.04  -116.45     0.29)  ; 14
+                                    (  720.19  1001.68  -119.35     0.29)  ; 15
+                                    (  720.48  1002.31  -120.52     0.29)  ; 16
+                                    (  720.48  1003.26  -120.52     0.29)  ; 17
+                                    (  721.36  1003.89  -120.77     0.29)  ; 18
+                                    (  723.11  1004.20  -120.92     0.29)  ; 19
+                                    (  726.02  1004.84  -121.82     0.29)  ; 20
+                                    (  728.94  1005.78  -122.35     0.29)  ; 21
+                                    (  731.28  1005.15  -123.75     0.29)  ; 22
+                                    (  732.15  1004.20  -124.95     0.29)  ; 23
+                                    (  733.61  1004.20  -125.15     0.29)  ; 24
+                                    (  733.90  1004.84  -125.25     0.29)  ; 25
+                                    (  734.78  1006.10  -125.40     0.29)  ; 26
+                                    (  737.11  1007.05  -126.20     0.29)  ; 27
+                                    (  739.45  1007.05  -126.45     0.29)  ; 28
+                                    (  741.20  1007.68  -124.75     0.29)  ; 29
+                                    (  743.83  1008.63  -124.88     0.29)  ; 30
+                                    (  745.28  1008.00  -124.97     0.29)  ; 31
+                                    (  746.45  1006.42  -125.22     0.29)  ; 32
+                                    (  748.20  1006.10  -126.97     0.29)  ; 33
+                                    (  750.54  1006.42  -128.10     0.29)  ; 34
+                                    (  754.04  1006.73  -128.27     0.29)  ; 35
+                                    (  754.91  1006.42  -128.60     0.29)  ; 36
+                                    (  756.67  1006.10  -127.30     0.29)  ; 37
+                                    (  759.00  1005.47  -127.42     0.29)  ; 38
+                                    (  760.46  1005.47  -127.42     0.29)  ; 39
+                                    (  761.63  1004.84  -127.52     0.29)  ; 40
+                                    (  762.79  1004.84  -127.52     0.29)  ; 41
+                                    (  763.96  1005.47  -127.60     0.29)  ; 42
+                                    (  766.88  1004.84  -127.72     0.29)  ; 43
+                                    (  770.38  1004.84  -127.80     0.29)  ; 44
+                                    (  771.84  1005.78  -127.00     0.29)  ; 45
+                                    (  772.71  1006.73  -126.97     0.29)  ; 46
+                                    (  775.05  1007.05  -126.95     0.29)  ; 47
+                                    (  777.09  1007.05  -127.80     0.29)  ; 48
+                                    (  779.13  1007.05  -128.72     0.29)  ; 49
+                                    (  780.30  1007.36  -130.15     0.29)  ; 50
+
+                                    (Cross
+                                      (Color Orange)
+                                      (Name "Marker 3")
+                                      (  695.68   996.94  -111.65     0.29)  ; 1
+                                      (  698.30   999.78  -111.65     0.29)  ; 2
+                                      (  701.80   997.57  -112.02     0.29)  ; 3
+                                      (  699.47   997.57  -112.02     0.29)  ; 4
+                                      (  700.93   998.83  -112.02     0.29)  ; 5
+                                      (  700.64   997.88  -112.02     0.29)  ; 6
+                                      (  705.60   996.62  -112.95     0.29)  ; 7
+                                      (  706.18   997.57  -112.95     0.29)  ; 8
+                                      (  707.06   997.25  -112.95     0.29)  ; 9
+                                      (  709.97   998.52  -113.75     0.29)  ; 10
+                                      (  711.43   999.46  -113.75     0.29)  ; 11
+                                      (  713.48  1001.36  -113.75     0.29)  ; 12
+                                      (  711.73   999.46  -113.75     0.29)  ; 13
+                                      (  708.52   999.46  -113.75     0.29)  ; 14
+                                      (  714.64  1000.10  -114.63     0.29)  ; 15
+                                      (  716.98  1001.99  -116.45     0.29)  ; 16
+                                      (  718.44  1000.73  -116.45     0.29)  ; 17
+                                      (  716.69  1000.73  -116.45     0.29)  ; 18
+                                      (  720.77  1001.36  -120.52     0.29)  ; 19
+                                      (  725.44  1005.47  -121.82     0.29)  ; 20
+                                      (  723.69  1005.15  -121.82     0.29)  ; 21
+                                      (  725.15  1003.89  -121.82     0.29)  ; 22
+                                      (  723.98  1003.89  -121.82     0.29)  ; 23
+                                      (  727.48  1004.84  -122.35     0.29)  ; 24
+                                      (  728.07  1004.84  -122.35     0.29)  ; 25
+                                      (  728.94  1005.15  -122.35     0.29)  ; 26
+                                      (  729.53  1006.42  -122.35     0.29)  ; 27
+                                      (  730.11  1004.84  -123.75     0.29)  ; 28
+                                      (  734.20  1006.10  -125.40     0.29)  ; 29
+                                      (  734.78  1004.84  -125.40     0.29)  ; 30
+                                      (  733.03  1004.20  -125.40     0.29)  ; 31
+                                      (  737.41  1008.00  -126.45     0.29)  ; 32
+                                      (  737.99  1006.42  -126.45     0.29)  ; 33
+                                      (  740.91  1006.42  -124.88     0.29)  ; 34
+                                      (  742.95  1007.36  -124.88     0.29)  ; 35
+                                      (  742.37  1008.63  -124.88     0.29)  ; 36
+                                      (  744.99  1007.36  -125.22     0.29)  ; 37
+                                      (  746.16  1007.68  -125.22     0.29)  ; 38
+                                      (  746.45  1007.36  -125.22     0.29)  ; 39
+                                      (  747.04  1007.36  -126.97     0.29)  ; 40
+                                      (  746.74  1005.78  -126.97     0.29)  ; 41
+                                      (  751.70  1007.36  -128.27     0.29)  ; 42
+                                      (  752.87  1007.36  -128.27     0.29)  ; 43
+                                      (  754.62  1005.78  -128.60     0.29)  ; 44
+                                      (  756.08  1005.15  -127.42     0.29)  ; 45
+                                      (  758.42  1006.42  -127.52     0.29)  ; 46
+                                      (  759.88  1004.84  -127.52     0.29)  ; 47
+                                      (  765.71  1004.20  -127.80     0.29)  ; 48
+                                      (  768.34  1003.57  -127.80     0.29)  ; 49
+                                      (  768.92  1003.89  -127.80     0.29)  ; 50
+                                      (  767.75  1005.15  -127.80     0.29)  ; 51
+                                      (  775.05  1007.68  -127.30     0.29)  ; 52
+                                      (  778.84  1007.68  -130.15     0.29)  ; 53
+                                      (  780.59  1007.36  -130.15     0.29)  ; 54
+                                      (  780.01  1006.42  -130.15     0.29)  ; 55
+                                    )  ;  End of markers
+                                     Normal
+                                  |
+                                    (  695.09   999.46  -111.40     0.58)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-2-1-2
+                                    (  695.68  1000.41  -112.25     0.58)  ; 2
+                                    (  697.43  1001.68  -112.47     0.29)  ; 3
+                                    (  698.01  1003.26  -113.32     0.29)  ; 4
+                                    (  698.59  1004.52  -114.95     0.29)  ; 5
+                                    (  700.34  1005.47  -115.90     0.29)  ; 6
+                                    (  701.51  1006.42  -116.13     0.29)  ; 7
+                                    (  702.10  1008.00  -116.17     0.29)  ; 8
+                                    (  701.51  1009.89  -116.30     0.29)  ; 9
+                                    (  701.22  1012.42  -116.67     0.29)  ; 10
+                                    (  701.51  1015.26  -116.88     0.29)  ; 11
+                                    (  701.80  1017.16  -117.65     0.29)  ; 12
+                                    (  702.68  1018.74  -117.90     0.29)  ; 13
+                                    (  704.14  1019.69  -118.18     0.29)  ; 14
+                                     Normal
+                                  )  ;  End of split
+                                |
+                                  (  655.78   969.76  -107.65     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-1-2-2-2
+                                  (  656.37   968.81  -109.30     0.29)  ; 2
+                                  (  657.54   968.18  -109.57     0.29)  ; 3
+                                  (  659.58   968.18  -109.88     0.29)  ; 4
+                                  (  661.04   967.23  -111.15     0.29)  ; 5
+                                  (  662.50   966.28  -111.80     0.29)  ; 6
+                                  (  663.96   966.28  -112.75     0.29)  ; 7
+                                  (  664.54   967.55  -113.85     0.29)  ; 8
+                                  (  666.87   967.55  -114.78     0.29)  ; 9
+                                  (  669.50   968.18  -115.60     0.29)  ; 10
+                                  (  671.25   968.18  -117.47     0.29)  ; 11
+                                  (  674.75   968.49  -118.65     0.29)  ; 12
+                                  (  675.63   969.13  -120.28     0.29)  ; 13
+                                  (  676.50   970.07  -120.95     0.29)  ; 14
+                                  (  677.67   969.44  -122.05     0.29)  ; 15
+                                  (  679.42   968.81  -122.55     0.29)  ; 16
+                                  (  681.17   969.44  -123.45     0.29)  ; 17
+                                  (  682.05   969.44  -123.85     0.29)  ; 18
+                                  (  682.05   968.81  -123.85     0.29)  ; 19
+                                  (  683.80   968.81  -124.30     0.29)  ; 20
+                                  (  684.97   969.13  -125.92     0.29)  ; 21
+                                  (  687.30   969.13  -127.52     0.29)  ; 22
+                                  (  690.51   969.44  -130.10     0.29)  ; 23
+                                  (  691.68   970.39  -131.52     0.29)  ; 24
+                                  (  691.97   971.65  -132.07     0.29)  ; 25
+                                  (  692.85   972.92  -133.18     0.29)  ; 26
+                                  (  694.30   973.23  -133.40     0.29)  ; 27
+                                  (  696.06   972.92  -134.68     0.29)  ; 28
+                                  (  696.93   971.97  -134.85     0.29)  ; 29
+                                  (  699.27   971.97  -135.45     0.29)  ; 30
+                                  (  701.02   972.60  -136.05     0.29)  ; 31
+                                  (  702.18   973.23  -137.27     0.29)  ; 32
+                                  (  703.64   973.87  -137.30     0.29)  ; 33
+                                  (  704.81   973.55  -137.35     0.29)  ; 34
+                                  (  708.02   972.60  -137.50     0.29)  ; 35
+                                  (  710.94   972.60  -137.80     0.29)  ; 36
+                                  (  712.10   972.29  -139.05     0.29)  ; 37
+                                  (  712.98   971.34  -139.15     0.29)  ; 38
+                                  (  713.86   970.71  -139.15     0.29)  ; 39
+                                  (  715.81   972.07  -140.15     0.29)  ; 40
+                                  (  718.14   973.33  -141.17     0.29)  ; 41
+                                  (  719.90   974.28  -142.35     0.29)  ; 42
+                                  (  721.65   975.86  -144.70     0.29)  ; 43
+                                  (  723.98   977.12  -146.67     0.29)  ; 44
+                                  (  726.02   978.39  -147.82     0.29)  ; 45
+                                  (  727.77   979.02  -148.00     0.29)  ; 46
+                                  (  729.53   979.65  -149.80     0.29)  ; 47
+                                  (  732.44   981.23  -150.77     0.29)  ; 48
+                                  (  734.49   982.81  -150.93     0.29)  ; 49
+                                  (  736.53   983.76  -151.55     0.29)  ; 50
+                                  (  737.70   983.13  -151.88     0.29)  ; 51
+                                  (  740.03   983.13  -152.05     0.29)  ; 52
+                                  (  741.20   984.39  -152.88     0.29)  ; 53
+                                  (  743.24   985.66  -153.07     0.29)  ; 54
+                                  (  745.58   987.55  -153.77     0.29)  ; 55
+                                  (  747.33   989.45  -154.70     0.29)  ; 56
+                                  (  749.66   990.40  -155.18     0.29)  ; 57
+                                  (  751.41   989.76  -156.07     0.29)  ; 58
+                                  (  753.45   988.82  -156.70     0.29)  ; 59
+                                  (  755.50   987.55  -158.13     0.29)  ; 60
+                                  (  759.58   986.92  -159.95     0.29)  ; 61
+                                  (  762.79   987.24  -159.95     0.29)  ; 62
+                                  (  765.42   988.18  -159.95     0.29)  ; 63
+                                  (  767.46   989.45  -159.95     0.29)  ; 64
+                                  (  768.63   989.45  -160.07     0.29)  ; 65
+                                  (  769.21   987.87  -160.07     0.29)  ; 66
+                                  (  770.96   987.24  -160.07     0.29)  ; 67
+                                  (  773.30   986.92  -161.65     0.29)  ; 68
+                                  (  774.76   986.92  -161.65     0.29)  ; 69
+                                   High
+                                )  ;  End of split
+                              )  ;  End of split
+                            )  ;  End of split
+                          |
+                            (  573.90   814.08   -84.35     1.46)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2
+                            (  574.78   816.61   -83.67     1.46)  ; 2
+                            (  574.49   820.08   -83.20     1.46)  ; 3
+                            (  574.49   823.24   -83.00     1.46)  ; 4
+                            (  575.36   825.45   -82.83     1.46)  ; 5
+                            (  575.94   827.67   -82.60     1.46)  ; 6
+                            (  576.53   830.83   -82.47     1.46)  ; 7
+                            (  577.11   833.35   -82.13     1.46)  ; 8
+                            (  577.99   834.93   -82.05     1.46)  ; 9
+                            (
+                              (  580.06   837.38   -81.88     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1
+                              (  581.81   839.59   -81.62     0.88)  ; 2
+                              (  583.85   842.44   -81.45     0.88)  ; 3
+                              (  585.90   845.91   -81.27     0.88)  ; 4
+                              (  588.81   849.39   -81.10     0.88)  ; 5
+                              (  590.86   852.55   -79.70     0.88)  ; 6
+                              (  592.90   855.71   -79.35     0.88)  ; 7
+                              (  595.23   858.55   -78.63     0.88)  ; 8
+                              (  596.40   861.08   -78.38     0.88)  ; 9
+                              (  597.57   862.03   -77.77     0.88)  ; 10
+                              (  598.44   864.56   -77.72     0.88)  ; 11
+                              (  599.61   866.77   -77.63     0.88)  ; 12
+                              (  601.36   868.66   -77.32     0.88)  ; 13
+                              (  603.11   869.61   -77.17     0.88)  ; 14
+                              (  603.70   870.24   -77.17     0.88)  ; 15
+                              (  603.70   872.46   -77.00     0.88)  ; 16
+                              (  604.86   874.04   -76.52     0.88)  ; 17
+                              (  606.91   875.30   -76.28     0.88)  ; 18
+                              (  608.66   877.20   -76.15     0.88)  ; 19
+                              (  611.58   879.72   -76.07     0.88)  ; 20
+                              (  613.91   881.94   -75.80     0.88)  ; 21
+                              (  616.83   884.78   -75.67     0.88)  ; 22
+                              (  619.16   886.04   -75.32     0.88)  ; 23
+                              (  620.91   887.94   -75.75     0.88)  ; 24
+                              (  623.83   890.47   -76.52     0.88)  ; 25
+                              (  626.17   892.05   -78.78     0.88)  ; 26
+                              (  627.92   893.63   -79.78     0.88)  ; 27
+                              (  628.50   894.89   -79.95     0.88)  ; 28
+                              (  628.79   895.84   -80.02     0.88)  ; 29
+                              (  629.96   896.47   -80.20     0.88)  ; 30
+                              (  632.00   896.79   -80.22     0.88)  ; 31
+                              (  634.05   898.37   -80.35     0.88)  ; 32
+                              (  636.38   900.58   -80.65     0.88)  ; 33
+                              (  640.17   903.11   -80.82     0.88)  ; 34
+                              (  642.22   905.07   -80.77     0.88)  ; 35
+                              (  644.55   906.02   -80.47     0.88)  ; 36
+                              (  646.01   906.65   -80.40     0.88)  ; 37
+                              (
+                                (  644.93   908.94   -80.65     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-1
+                                (  645.22   910.84   -80.73     0.29)  ; 2
+                                (  646.09   912.74   -81.50     0.29)  ; 3
+                                (  647.55   914.32   -82.05     0.29)  ; 4
+                                (  648.72   916.21   -83.53     0.29)  ; 5
+                                (  650.47   918.42   -83.85     0.29)  ; 6
+                                (  650.76   920.00   -84.30     0.29)  ; 7
+                                (  651.35   921.90   -85.02     0.29)  ; 8
+                                (  653.39   923.80   -85.68     0.29)  ; 9
+                                (  654.85   925.38   -86.55     0.29)  ; 10
+                                (  656.31   927.90   -88.42     0.29)  ; 11
+                                (  658.35   929.48   -89.40     0.29)  ; 12
+                                (  658.93   931.70   -89.97     0.29)  ; 13
+                                (  660.39   932.64   -90.22     0.29)  ; 14
+                                (  662.44   933.28   -91.82     0.29)  ; 15
+                                (  663.60   935.49   -91.95     0.29)  ; 16
+                                (  665.06   937.07   -92.50     0.29)  ; 17
+                                (  667.40   937.70   -93.25     0.29)  ; 18
+                                (  669.73   938.96   -94.03     0.29)  ; 19
+                                (  670.90   939.60   -95.90     0.29)  ; 20
+                                (  671.77   939.91   -97.52     0.29)  ; 21
+                                (  674.11   941.81   -97.52     0.29)  ; 22
+                                (  674.98   944.34   -97.75     0.29)  ; 23
+                                (  677.03   946.86   -98.02     0.29)  ; 24
+                                (  678.78   948.44   -98.70     0.29)  ; 25
+                                (  680.53   951.60   -99.72     0.29)  ; 26
+                                (  682.28   955.08  -100.57     0.29)  ; 27
+                                (  683.74   957.61  -101.00     0.29)  ; 28
+                                (  684.91   959.19  -101.17     0.29)  ; 29
+                                (  686.95   960.77  -102.50     0.29)  ; 30
+                                (  687.53   962.98  -102.92     0.29)  ; 31
+                                (  687.82   964.24  -103.15     0.29)  ; 32
+                                (
+                                  (  691.06   965.53  -103.47     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-1-1
+                                  (  693.10   966.80  -105.97     0.29)  ; 2
+                                  (  694.56   968.69  -106.40     0.29)  ; 3
+                                  (  696.02   969.96  -106.98     0.29)  ; 4
+                                  (  696.31   972.17  -107.20     0.29)  ; 5
+                                  (  697.48   973.75  -108.65     0.29)  ; 6
+                                  (  700.40   974.70  -110.30     0.29)  ; 7
+                                  (  702.44   976.59  -110.75     0.29)  ; 8
+                                  (  704.78   978.17  -111.10     0.29)  ; 9
+                                  (  706.53   979.44  -111.43     0.29)  ; 10
+                                  (  707.99   979.75  -111.47     0.29)  ; 11
+                                  (  709.74   979.75  -111.55     0.29)  ; 12
+                                  (  711.20   979.44  -112.07     0.29)  ; 13
+                                  (  712.07   980.70  -112.52     0.29)  ; 14
+                                  (  712.65   982.28  -113.42     0.29)  ; 15
+                                  (  712.95   982.91  -114.20     0.29)  ; 16
+                                  (  713.82   983.23  -115.97     0.29)  ; 17
+                                  (  715.28   982.60  -115.97     0.29)  ; 18
+                                  (  716.16   983.54  -116.27     0.29)  ; 19
+                                  (  717.61   984.81  -117.38     0.29)  ; 20
+                                  (  719.66   985.44  -118.50     0.29)  ; 21
+                                  (  721.12   985.12  -119.63     0.29)  ; 22
+                                  (  721.41   986.07  -119.63     0.29)  ; 23
+                                  (  722.58   987.65  -119.88     0.29)  ; 24
+                                  (  724.62   988.60  -121.00     0.29)  ; 25
+                                  (  726.66   987.97  -121.88     0.29)  ; 26
+                                  (  728.12   987.65  -122.47     0.29)  ; 27
+                                  (  730.75   988.60  -123.97     0.29)  ; 28
+                                  (  732.21   990.50  -124.47     0.29)  ; 29
+                                  (  735.12   991.13  -124.55     0.29)  ; 30
+                                  (  737.75   991.76  -124.88     0.29)  ; 31
+                                  (  740.38   992.39  -125.35     0.29)  ; 32
+                                  (  740.29   993.66  -125.40     0.29)  ; 33
+                                  (  742.33   995.24  -126.17     0.29)  ; 34
+                                  (  742.62   997.13  -127.00     0.29)  ; 35
+                                  (  744.08   999.03  -127.68     0.29)  ; 36
+                                  (  745.54  1000.92  -128.88     0.29)  ; 37
+                                  (  747.58  1002.19  -130.85     0.29)  ; 38
+                                  (  750.50  1002.50  -132.68     0.29)  ; 39
+                                  (  752.84  1004.08  -133.70     0.29)  ; 40
+                                  (  753.42  1004.40  -135.70     0.29)  ; 41
+                                  (  754.30  1003.45  -135.80     0.29)  ; 42
+                                  (  754.30  1002.50  -135.98     0.29)  ; 43
+                                  (  754.88  1001.56  -136.75     0.29)  ; 44
+                                  (  755.46  1001.87  -136.75     0.29)  ; 45
+                                  (  755.46  1002.82  -136.75     0.29)  ; 46
+                                  (  755.76  1004.40  -136.85     0.29)  ; 47
+                                  (  756.05  1006.30  -137.38     0.29)  ; 48
+                                  (  756.92  1007.56  -140.00     0.29)  ; 49
+                                  (  758.97  1009.14  -142.13     0.29)  ; 50
+                                  (  761.30  1010.09  -143.98     0.29)  ; 51
+                                  (  763.05  1010.72  -144.07     0.29)  ; 52
+                                  (  764.22  1012.30  -144.82     0.29)  ; 53
+                                  (  764.80  1013.56  -145.32     0.29)  ; 54
+                                  (  763.93  1013.88  -145.40     0.29)  ; 55
+                                  (  763.34  1014.51  -145.45     0.29)  ; 56
+                                  (  764.51  1015.46  -145.52     0.29)  ; 57
+                                  (  767.14  1016.72  -145.82     0.29)  ; 58
+                                  (  770.35  1018.30  -146.72     0.29)  ; 59
+                                  (  772.01  1017.36  -149.92     0.29)  ; 60
+                                  (  773.18  1017.04  -150.07     0.29)  ; 61
+                                  (  774.05  1017.99  -150.27     0.29)  ; 62
+                                  (  773.18  1019.25  -150.45     0.29)  ; 63
+                                  (  774.05  1021.15  -150.82     0.29)  ; 64
+                                  (  775.22  1022.73  -151.32     0.29)  ; 65
+                                  (  777.55  1024.62  -152.75     0.29)  ; 66
+                                  (  779.60  1026.84  -153.77     0.29)  ; 67
+                                  (  782.51  1029.05  -154.88     0.29)  ; 68
+                                  (  784.56  1031.26  -155.30     0.29)  ; 69
+                                   High
+                                |
+                                  (  686.36   967.09  -102.72     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-1-2
+                                  (  686.07   970.56  -102.42     0.29)  ; 2
+                                  (  685.49   973.41  -102.02     0.29)  ; 3
+                                  (  685.78   976.88  -101.70     0.29)  ; 4
+                                  (  685.20   978.84  -100.55     0.29)  ; 5
+                                  (  684.91   980.74  -100.25     0.29)  ; 6
+                                  (  683.74   981.69  -100.05     0.29)  ; 7
+                                  (  683.74   984.22   -99.85     0.29)  ; 8
+                                  (  683.15   986.43   -98.30     0.29)  ; 9
+                                  (  682.86   989.90   -97.72     0.29)  ; 10
+                                  (  681.40   992.75   -96.55     0.29)  ; 11
+                                  (  680.53   995.91   -95.32     0.29)  ; 12
+                                  (  679.36   997.80   -94.72     0.29)  ; 13
+                                  (  678.49  1000.33   -93.97     0.29)  ; 14
+                                  (  678.49  1002.54   -93.55     0.29)  ; 15
+                                  (  678.78  1004.76   -92.97     0.29)  ; 16
+                                  (  679.94  1006.02   -92.63     0.29)  ; 17
+                                  (  680.82  1008.55   -92.35     0.29)  ; 18
+                                  (  681.11  1010.76   -91.95     0.29)  ; 19
+                                  (  680.53  1013.60   -91.22     0.29)  ; 20
+                                  (  680.24  1016.76   -90.33     0.29)  ; 21
+                                  (  679.94  1021.82   -89.65     0.29)  ; 22
+                                  (  678.78  1023.40   -88.97     0.29)  ; 23
+                                  (  677.90  1025.04   -88.70     0.29)  ; 24
+                                  (  677.90  1027.26   -88.45     0.29)  ; 25
+                                  (  678.49  1029.47   -88.10     0.29)  ; 26
+                                  (  679.07  1031.36   -87.83     0.29)  ; 27
+                                  (  678.78  1034.84   -87.63     0.29)  ; 28
+                                  (  678.78  1038.32   -86.90     0.29)  ; 29
+                                  (  679.65  1041.16   -85.50     0.29)  ; 30
+                                  (  679.65  1044.32   -84.40     0.29)  ; 31
+                                  (  678.78  1048.11   -83.88     0.29)  ; 32
+                                  (  677.61  1052.54   -81.70     0.29)  ; 33
+                                  (  677.03  1056.96   -80.70     0.29)  ; 34
+                                  (  676.15  1059.49   -79.32     0.29)  ; 35
+                                  (  674.11  1063.91   -78.20     0.29)  ; 36
+                                  (  672.94  1067.39   -76.95     0.29)  ; 37
+                                  (  673.23  1068.40   -76.68     0.29)  ; 38
+                                  (
+                                    (  673.82  1071.56   -79.45     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-1-2-1
+                                    (  674.69  1074.40   -83.30     0.29)  ; 2
+                                    (  674.11  1075.98   -86.77     0.29)  ; 3
+                                    (  673.23  1077.88   -87.80     0.29)  ; 4
+                                     Incomplete
+                                  |
+                                    (  670.90  1070.61   -79.57     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-1-2-2
+                                    (  670.02  1073.45   -82.13     0.29)  ; 2
+                                    (  668.86  1076.93   -83.77     0.29)  ; 3
+                                    (  668.56  1080.09   -86.07     0.29)  ; 4
+                                     Incomplete
+                                  )  ;  End of split
+                                )  ;  End of split
+                              |
+                                (  648.55   906.96   -80.25     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-2
+                                (  651.76   907.91   -79.80     0.29)  ; 2
+                                (  653.51   907.28   -79.50     0.29)  ; 3
+                                (  655.55   907.28   -79.45     0.29)  ; 4
+                                (  657.89   907.91   -79.27     0.29)  ; 5
+                                (  661.68   908.54   -78.97     0.29)  ; 6
+                                (  663.43   910.12   -77.80     0.29)  ; 7
+                                (  667.23   911.07   -75.67     0.29)  ; 8
+                                (  671.02   911.39   -74.63     0.29)  ; 9
+                                (  672.77   912.02   -73.67     0.29)  ; 10
+                                (  674.81   912.97   -72.47     0.29)  ; 11
+                                (  678.02   913.28   -71.60     0.29)  ; 12
+                                (  679.77   914.86   -71.15     0.29)  ; 13
+                                (  682.98   915.50   -70.85     0.29)  ; 14
+                                (  686.19   916.13   -70.15     0.29)  ; 15
+                                (  688.53   915.50   -68.90     0.29)  ; 16
+                                (  692.61   915.81   -67.77     0.29)  ; 17
+                                (  695.24   916.13   -66.72     0.29)  ; 18
+                                (  696.12   916.76   -66.35     0.29)  ; 19
+                                (  697.57   916.44   -65.65     0.29)  ; 20
+                                (  700.78   915.50   -64.95     0.29)  ; 21
+                                (  702.83   916.76   -63.53     0.29)  ; 22
+                                (  705.16   915.81   -63.20     0.29)  ; 23
+                                (  707.20   916.13   -61.88     0.29)  ; 24
+                                (  708.08   915.81   -61.38     0.29)  ; 25
+                                (  709.25   915.18   -60.95     0.29)  ; 26
+                                (  710.71   914.55   -60.20     0.29)  ; 27
+                                (  711.29   915.18   -59.40     0.29)  ; 28
+                                (  711.87   916.44   -58.42     0.29)  ; 29
+                                (  713.04   917.08   -58.05     0.29)  ; 30
+                                (  714.50   916.44   -57.08     0.29)  ; 31
+                                (  715.37   915.81   -56.75     0.29)  ; 32
+                                (  717.13   915.50   -55.20     0.29)  ; 33
+                                (  717.42   916.13   -55.10     0.29)  ; 34
+                                (  718.29   917.39   -54.07     0.29)  ; 35
+                                (  718.88   917.39   -53.85     0.29)  ; 36
+                                (  720.63   917.08   -52.75     0.29)  ; 37
+                                (  722.09   917.39   -51.75     0.29)  ; 38
+                                (  724.42   918.34   -50.77     0.29)  ; 39
+                                (  725.59   917.71   -50.47     0.29)  ; 40
+                                (  727.34   917.08   -49.65     0.29)  ; 41
+                                (  729.67   918.34   -49.47     0.29)  ; 42
+                                (  731.72   918.97   -49.10     0.29)  ; 43
+                                (  733.09   918.34   -48.75     0.29)  ; 44
+                                (  734.55   917.71   -48.40     0.29)  ; 45
+                                (  736.59   918.34   -48.18     0.29)  ; 46
+                                (  738.34   918.66   -47.67     0.29)  ; 47
+                                (  741.26   917.39   -47.45     0.29)  ; 48
+                                (  744.76   917.39   -47.05     0.29)  ; 49
+                                (  747.39   918.97   -46.25     0.29)  ; 50
+                                (  748.26   920.55   -45.65     0.29)  ; 51
+                                (  748.85   921.50   -45.60     0.29)  ; 52
+                                (  750.01   921.82   -44.90     0.29)  ; 53
+                                (  750.60   921.18   -44.67     0.29)  ; 54
+                                (  752.35   919.92   -44.38     0.29)  ; 55
+                                (  754.97   920.24   -44.27     0.29)  ; 56
+                                (  756.43   920.87   -44.07     0.29)  ; 57
+                                (  758.77   922.76   -44.00     0.29)  ; 58
+                                (  761.98   923.08   -43.90     0.29)  ; 59
+                                (  766.06   923.40   -43.80     0.29)  ; 60
+                                (  768.11   922.76   -43.90     0.29)  ; 61
+                                (  770.15   921.82   -44.20     0.29)  ; 62
+                                (  771.61   922.45   -44.27     0.29)  ; 63
+                                (  772.77   924.03   -44.67     0.29)  ; 64
+                                (  774.23   924.98   -45.30     0.29)  ; 65
+                                (  776.86   925.92   -46.25     0.29)  ; 66
+                                (  780.07   926.24   -47.57     0.29)  ; 67
+                                (  783.28   927.19   -47.90     0.29)  ; 68
+                                (  787.37   927.50   -47.95     0.29)  ; 69
+                                (  789.41   927.50   -48.10     0.29)  ; 70
+                                (  790.87   927.50   -48.15     0.29)  ; 71
+                                (
+                                  (  792.70   928.85   -48.62     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-2-1
+                                  (  794.16   929.80   -48.67     0.29)  ; 2
+                                  (  796.50   930.12   -48.67     0.29)  ; 3
+                                  (  797.66   931.70   -48.67     0.29)  ; 4
+                                  (  800.29   932.33   -48.95     0.29)  ; 5
+                                  (  804.08   932.64   -48.95     0.29)  ; 6
+                                  (  807.00   933.28   -49.27     0.29)  ; 7
+                                  (  809.04   935.17   -49.32     0.29)  ; 8
+                                  (  811.38   936.75   -49.45     0.29)  ; 9
+                                  (  813.13   938.02   -50.47     0.29)  ; 10
+                                  (  814.88   938.96   -51.67     0.29)  ; 11
+                                  (  817.21   940.86   -52.72     0.29)  ; 12
+                                  (  818.38   942.44   -52.90     0.29)  ; 13
+                                  (  819.55   943.70   -53.22     0.29)  ; 14
+                                  (  820.13   944.97   -53.40     0.29)  ; 15
+                                  (
+                                    (  820.92   945.66   -49.43     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-2-1-1
+                                    (  822.09   948.19   -47.77     0.29)  ; 2
+                                    (  823.26   949.14   -47.35     0.29)  ; 3
+                                    (  824.71   950.09   -47.28     0.29)  ; 4
+                                    (  826.47   952.30   -47.02     0.29)  ; 5
+                                    (  827.63   954.20   -46.38     0.29)  ; 6
+                                    (  828.80   955.14   -45.92     0.29)  ; 7
+                                    (  830.84   957.36   -45.72     0.29)  ; 8
+                                    (  832.59   959.57   -44.63     0.29)  ; 9
+                                    (  835.22   961.15   -44.60     0.29)  ; 10
+                                    (  836.68   963.04   -44.40     0.29)  ; 11
+                                    (  837.85   963.99   -44.27     0.29)  ; 12
+                                    (  838.72   964.94   -44.15     0.29)  ; 13
+                                    (  839.89   967.47   -43.90     0.29)  ; 14
+                                    (  841.64   970.31   -43.50     0.29)  ; 15
+                                    (  842.81   973.16   -43.35     0.29)  ; 16
+                                    (  844.85   973.79   -43.00     0.29)  ; 17
+                                    (  846.02   975.68   -41.82     0.29)  ; 18
+                                    (  848.06   976.63   -41.57     0.29)  ; 19
+                                    (  848.93   978.84   -41.40     0.29)  ; 20
+                                    (  849.81   980.74   -41.38     0.29)  ; 21
+                                    (  849.23   982.00   -41.28     0.29)  ; 22
+                                    (  850.39   982.64   -41.25     0.29)  ; 23
+                                    (  851.27   984.53   -40.95     0.29)  ; 24
+                                    (  853.90   986.74   -40.55     0.29)  ; 25
+                                    (  855.35   989.27   -39.45     0.29)  ; 26
+                                    (  855.06   991.17   -38.60     0.29)  ; 27
+                                    (  855.65   992.75   -38.45     0.29)  ; 28
+                                    (  856.23   995.28   -36.85     0.29)  ; 29
+                                     Normal
+                                  |
+                                    (  822.47   946.55   -53.47     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-2-1-2
+                                    (  824.22   948.13   -53.88     0.29)  ; 2
+                                    (  825.68   948.76   -54.72     0.29)  ; 3
+                                    (  826.55   950.02   -54.90     0.29)  ; 4
+                                    (  827.72   951.29   -55.05     0.29)  ; 5
+                                    (  828.60   952.24   -55.20     0.29)  ; 6
+                                    (  829.76   953.50   -55.20     0.29)  ; 7
+                                    (  830.93   955.71   -55.25     0.29)  ; 8
+                                    (  832.39   956.34   -55.42     0.29)  ; 9
+                                    (  835.60   957.29   -55.67     0.29)  ; 10
+                                    (  836.68   958.94   -55.77     0.29)  ; 11
+                                    (  838.14   960.83   -56.32     0.29)  ; 12
+                                    (  839.60   961.78   -56.38     0.29)  ; 13
+                                    (  841.64   963.68   -56.52     0.29)  ; 14
+                                    (  842.51   965.26   -56.65     0.29)  ; 15
+                                    (  844.27   966.52   -57.05     0.29)  ; 16
+                                    (  845.14   968.73   -57.20     0.29)  ; 17
+                                    (  845.72   970.31   -57.20     0.29)  ; 18
+                                    (  845.43   971.89   -57.28     0.29)  ; 19
+                                    (  846.02   972.84   -57.53     0.29)  ; 20
+                                    (  847.18   974.42   -57.80     0.29)  ; 21
+                                    (  847.77   975.37   -58.15     0.29)  ; 22
+                                    (  847.77   976.95   -58.35     0.29)  ; 23
+                                    (  846.89   977.90   -58.38     0.29)  ; 24
+                                    (  846.60   978.84   -57.82     0.29)  ; 25
+                                    (  847.18   980.11   -56.77     0.29)  ; 26
+                                    (  848.06   982.32   -55.42     0.29)  ; 27
+                                    (  848.93   982.64   -51.50     0.29)  ; 28
+                                    (  850.69   982.00   -51.38     0.29)  ; 29
+                                    (  853.90   981.06   -51.08     0.29)  ; 30
+                                    (  858.27   981.69   -50.17     0.29)  ; 31
+                                    (  860.61   982.64   -49.87     0.29)  ; 32
+                                    (  862.94   983.27   -49.72     0.29)  ; 33
+                                     Normal
+                                  )  ;  End of split
+                                |
+                                  (  791.89   926.07   -45.90     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-1-2-2
+                                  (  793.06   925.44   -45.35     0.29)  ; 2
+                                  (  794.52   925.76   -45.20     0.29)  ; 3
+                                  (  797.15   926.39   -44.87     0.29)  ; 4
+                                  (  800.06   926.07   -44.80     0.29)  ; 5
+                                  (  802.69   925.44   -44.45     0.29)  ; 6
+                                  (  804.73   925.44   -44.30     0.29)  ; 7
+                                  (  805.90   926.39   -44.27     0.29)  ; 8
+                                  (  808.23   926.39   -44.15     0.29)  ; 9
+                                  (  811.74   927.34   -43.58     0.29)  ; 10
+                                  (  813.49   928.60   -42.63     0.29)  ; 11
+                                  (  815.24   929.55   -42.55     0.29)  ; 12
+                                  (  817.86   929.55   -42.37     0.29)  ; 13
+                                  (  818.45   930.18   -42.37     0.29)  ; 14
+                                  (  820.49   932.08   -42.20     0.29)  ; 15
+                                  (  823.41   934.29   -42.08     0.29)  ; 16
+                                  (  826.03   936.50   -41.88     0.29)  ; 17
+                                  (  828.37   937.45   -41.85     0.29)  ; 18
+                                  (  829.54   939.34   -41.77     0.29)  ; 19
+                                  (  831.87   941.24   -41.67     0.29)  ; 20
+                                  (  833.76   941.49   -41.57     0.29)  ; 21
+                                  (  837.26   941.81   -41.57     0.29)  ; 22
+                                  (  839.01   940.86   -41.42     0.29)  ; 23
+                                  (  840.47   941.18   -41.40     0.29)  ; 24
+                                  (  843.39   942.44   -41.30     0.29)  ; 25
+                                  (  846.89   941.49   -41.10     0.29)  ; 26
+                                  (  850.39   940.86   -41.38     0.29)  ; 27
+                                  (  852.73   940.86   -43.10     0.29)  ; 28
+                                  (  854.19   941.49   -43.38     0.29)  ; 29
+                                  (  855.94   942.44   -43.55     0.29)  ; 30
+                                  (  857.98   941.81   -44.50     0.29)  ; 31
+                                  (  858.86   940.54   -44.60     0.29)  ; 32
+                                  (  861.19   940.54   -44.80     0.29)  ; 33
+                                  (  864.11   940.86   -45.13     0.29)  ; 34
+                                  (  867.03   941.18   -45.38     0.29)  ; 35
+                                  (  869.36   941.81   -45.70     0.29)  ; 36
+                                  (  872.28   942.12   -45.75     0.29)  ; 37
+                                  (  874.32   942.12   -45.95     0.29)  ; 38
+                                  (  876.07   942.44   -45.95     0.29)  ; 39
+                                  (  878.41   943.07   -46.17     0.29)  ; 40
+                                  (  879.87   943.39   -46.17     0.29)  ; 41
+                                  (  881.03   942.44   -46.32     0.29)  ; 42
+                                  (  883.08   941.81   -46.60     0.29)  ; 43
+                                  (  885.70   942.12   -46.88     0.29)  ; 44
+                                  (  888.33   941.49   -47.45     0.29)  ; 45
+                                  (  891.25   941.49   -48.07     0.29)  ; 46
+                                  (  894.17   940.86   -49.47     0.29)  ; 47
+                                  (  895.92   941.81   -51.12     0.29)  ; 48
+                                  (  898.54   942.12   -51.38     0.29)  ; 49
+                                  (  900.59   942.44   -51.57     0.29)  ; 50
+                                  (  902.92   943.70   -51.90     0.29)  ; 51
+                                  (  905.46   943.39   -51.82     0.29)  ; 52
+                                  (  907.79   943.39   -50.50     0.29)  ; 53
+                                  (  909.84   943.70   -49.13     0.29)  ; 54
+                                  (  912.75   944.34   -47.90     0.29)  ; 55
+                                  (  914.51   945.92   -46.73     0.29)  ; 56
+                                  (  917.13   946.86   -46.30     0.29)  ; 57
+                                  (  920.63   947.81   -45.27     0.29)  ; 58
+                                  (  922.97   947.18   -44.23     0.29)  ; 59
+                                  (  925.59   947.81   -43.20     0.29)  ; 60
+                                  (  927.64   948.13   -42.77     0.29)  ; 61
+                                   Normal
+                                )  ;  End of split
+                              )  ;  End of split
+                            |
+                              (  577.11   838.41   -81.67     1.17)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2
+                              (  576.53   841.57   -80.35     1.17)  ; 2
+                              (  576.24   844.41   -78.47     1.17)  ; 3
+                              (  575.94   847.89   -78.22     1.17)  ; 4
+                              (  575.94   852.00   -76.97     1.17)  ; 5
+                              (  575.94   854.53   -76.00     1.17)  ; 6
+                              (  575.36   857.37   -75.00     1.17)  ; 7
+                              (  575.07   861.16   -74.22     1.17)  ; 8
+                              (  574.19   865.90   -73.47     1.17)  ; 9
+                              (  573.90   868.43   -72.28     1.17)  ; 10
+                              (  574.19   870.64   -72.28     1.17)  ; 11
+                              (  573.90   872.54   -71.90     1.17)  ; 12
+                              (  573.03   875.70   -71.77     1.17)  ; 13
+                              (  572.73   878.86   -71.17     1.17)  ; 14
+                              (  572.15   881.13   -71.05     1.17)  ; 15
+                              (  571.57   884.61   -70.67     1.17)  ; 16
+                              (  571.57   885.87   -70.67     1.17)  ; 17
+
+                              (Cross
+                                (Color Orange)
+                                (Name "Marker 3")
+                                (  578.86   837.15   -81.67     1.17)  ; 1
+                                (  578.28   838.73   -81.67     1.17)  ; 2
+                                (  576.82   836.51   -81.67     1.17)  ; 3
+                                (  576.82   837.15   -81.67     1.17)  ; 4
+                                (  576.82   838.41   -81.67     1.17)  ; 5
+                                (  577.70   840.62   -80.35     1.17)  ; 6
+                                (  576.24   839.36   -80.35     1.17)  ; 7
+                                (  576.24   839.67   -80.35     1.17)  ; 8
+                                (  576.24   839.99   -80.35     1.17)  ; 9
+                                (  575.65   845.05   -78.47     1.17)  ; 10
+                                (  575.94   843.15   -78.47     1.17)  ; 11
+                                (  575.36   849.79   -76.97     1.17)  ; 12
+                                (  577.40   847.89   -76.97     1.17)  ; 13
+                                (  577.11   849.15   -76.97     1.17)  ; 14
+                                (  575.36   847.89   -76.97     1.17)  ; 15
+                                (  575.36   846.63   -76.97     1.17)  ; 16
+                                (  577.11   845.05   -76.97     1.17)  ; 17
+                                (  575.07   850.42   -76.00     1.17)  ; 18
+                                (  575.07   851.68   -76.00     1.17)  ; 19
+                                (  576.82   851.37   -76.00     1.17)  ; 20
+                                (  575.07   853.58   -75.00     1.17)  ; 21
+                                (  574.78   854.84   -75.00     1.17)  ; 22
+                                (  576.82   853.58   -75.00     1.17)  ; 23
+                                (  576.82   855.16   -75.00     1.17)  ; 24
+                                (  576.82   856.11   -74.22     1.17)  ; 25
+                                (  574.49   857.69   -74.22     1.17)  ; 26
+                                (  576.24   858.32   -74.22     1.17)  ; 27
+                                (  573.90   861.79   -73.47     1.17)  ; 28
+                                (  573.61   864.01   -73.47     1.17)  ; 29
+                                (  575.36   864.32   -73.47     1.17)  ; 30
+                                (  576.24   862.43   -73.47     1.17)  ; 31
+                                (  573.03   866.53   -72.53     1.17)  ; 32
+                                (  574.49   860.85   -72.53     1.17)  ; 33
+                                (  575.36   865.90   -72.28     1.17)  ; 34
+                                (  575.36   867.80   -72.28     1.17)  ; 35
+                                (  575.65   869.38   -72.28     1.17)  ; 36
+                                (  573.03   869.38   -72.28     1.17)  ; 37
+                                (  573.03   870.96   -71.77     1.17)  ; 38
+                                (  574.78   871.91   -71.77     1.17)  ; 39
+                                (  574.78   873.49   -71.77     1.17)  ; 40
+                                (  573.03   872.85   -71.77     1.17)  ; 41
+                                (  572.44   876.01   -71.77     1.17)  ; 42
+                                (  574.49   876.65   -71.77     1.17)  ; 43
+                                (  572.44   877.34   -71.05     1.17)  ; 44
+                                (  572.44   879.55   -71.05     1.17)  ; 45
+                                (  573.90   881.13   -70.67     1.17)  ; 46
+                                (  571.57   883.35   -70.67     1.17)  ; 47
+                                (  570.69   884.93   -70.67     1.17)  ; 48
+                                (  572.44   885.24   -70.67     1.17)  ; 49
+                              )  ;  End of markers
+                              (
+                                (  570.11   888.09   -71.43     1.17)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-1
+                                (  568.65   891.56   -74.47     1.17)  ; 2
+                                (  568.07   892.83   -74.47     1.17)  ; 3
+
+                                (Cross
+                                  (Color Orange)
+                                  (Name "Marker 3")
+                                  (  568.36   888.40   -74.47     1.17)  ; 1
+                                  (  569.52   890.30   -74.47     1.17)  ; 2
+                                  (  567.48   891.88   -74.47     1.17)  ; 3
+                                  (  568.94   891.56   -74.47     1.17)  ; 4
+                                  (  566.31   892.83   -74.47     1.17)  ; 5
+                                )  ;  End of markers
+                                (
+                                  (  566.61   893.46   -76.82     1.17)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-1-1
+                                  (  565.44   895.04   -76.82     1.17)  ; 2
+                                  (  563.69   897.57   -77.32     1.17)  ; 3
+                                  (  561.65   899.46   -77.32     1.17)  ; 4
+                                  (  559.02   902.62   -77.32     0.88)  ; 5
+                                  (  557.85   904.52   -77.50     0.88)  ; 6
+                                  (  556.10   906.73   -77.63     0.88)  ; 7
+                                  (  555.23   908.94   -77.30     0.88)  ; 8
+                                  (  554.35   911.15   -75.60     0.88)  ; 9
+                                  (  553.77   912.80   -73.07     0.58)  ; 10
+                                  (  553.47   914.38   -70.32     0.58)  ; 11
+                                  (  552.60   916.27   -70.32     0.58)  ; 12
+                                  (  551.14   918.80   -68.67     0.58)  ; 13
+                                  (  549.97   921.96   -67.68     0.58)  ; 14
+                                  (  548.81   923.86   -67.68     0.58)  ; 15
+                                  (  547.64   926.38   -67.13     0.58)  ; 16
+                                  (  546.47   928.28   -67.13     0.58)  ; 17
+                                  (  545.01   930.18   -66.35     0.58)  ; 18
+                                  (  544.14   932.70   -65.90     0.58)  ; 19
+                                  (  543.85   934.28   -65.90     0.58)  ; 20
+                                  (  543.26   936.18   -65.90     0.58)  ; 21
+                                  (  542.39   938.71   -65.63     0.58)  ; 22
+                                  (  540.93   941.24   -65.43     0.58)  ; 23
+                                  (  538.59   943.45   -63.65     0.58)  ; 24
+                                  (  537.72   944.71   -63.47     0.58)  ; 25
+                                  (  537.43   945.98   -63.47     0.58)  ; 26
+                                  (  536.26   947.24   -63.47     0.58)  ; 27
+                                  (  535.47   948.25   -63.13     0.58)  ; 28
+                                  (  533.43   949.20   -63.13     0.58)  ; 29
+                                  (  531.68   951.10   -62.45     0.58)  ; 30
+                                  (  530.22   953.62   -61.75     0.58)  ; 31
+                                  (  529.93   954.26   -60.75     0.58)  ; 32
+                                  (  529.63   954.26   -60.47     0.58)  ; 33
+                                  (  529.05   953.94   -60.47     0.58)  ; 34
+                                  (  527.88   953.31   -59.50     0.58)  ; 35
+                                  (  527.01   952.04   -57.92     0.58)  ; 36
+                                  (  525.95   951.82   -54.90     0.58)  ; 37
+                                  (  525.08   952.45   -53.53     0.58)  ; 38
+                                  (  523.62   954.66   -51.85     0.58)  ; 39
+                                  (  521.87   956.56   -51.22     0.58)  ; 40
+                                  (  520.99   956.87   -49.72     0.58)  ; 41
+                                  (  519.53   956.56   -49.72     0.58)  ; 42
+                                  (  517.49   955.92   -47.92     0.58)  ; 43
+                                  (  515.15   955.92   -46.20     0.58)  ; 44
+                                  (  514.57   956.56   -46.20     0.58)  ; 45
+                                  (  513.69   957.82   -44.25     0.58)  ; 46
+                                  (  513.11   959.08   -43.07     0.58)  ; 47
+                                  (  512.24   959.40   -43.07     0.58)  ; 48
+                                  (  511.07   959.08   -42.10     0.58)  ; 49
+                                  (  510.48   958.14   -42.10     0.58)  ; 50
+                                  (  509.61   957.19   -41.15     0.58)  ; 51
+                                  (  508.44   956.87   -41.15     0.58)  ; 52
+                                  (  507.57   957.19   -41.15     0.58)  ; 53
+                                  (  506.69   957.82   -39.97     0.58)  ; 54
+                                  (  506.11   959.08   -39.97     0.58)  ; 55
+                                  (  505.82   960.03   -38.95     0.58)  ; 56
+                                  (  504.94   960.35   -38.65     0.58)  ; 57
+                                  (  504.07   960.03   -38.10     0.58)  ; 58
+                                  (  502.61   959.40   -38.10     0.58)  ; 59
+                                  (  500.86   959.72   -36.05     0.58)  ; 60
+                                  (  499.40   959.72   -35.40     0.58)  ; 61
+                                  (  498.23   960.66   -33.42     0.58)  ; 62
+                                  (  497.94   962.88   -32.05     0.58)  ; 63
+                                  (  497.06   964.77   -31.92     0.58)  ; 64
+                                  (  496.19   966.04   -31.45     0.58)  ; 65
+                                  (  495.31   966.35   -29.42     0.58)  ; 66
+                                  (  495.60   966.98   -28.05     0.58)  ; 67
+                                  (  495.60   967.62   -28.05     0.58)  ; 68
+                                  (  494.73   967.30   -26.82     0.58)  ; 69
+                                  (  493.27   966.98   -26.82     0.58)  ; 70
+                                  (  491.23   967.30   -26.50     0.58)  ; 71
+                                  (  490.15   967.93   -24.85     0.58)  ; 72
+                                  (  490.15   969.83   -22.88     0.58)  ; 73
+                                  (  488.69   970.14   -22.02     0.58)  ; 74
+                                  (  485.77   971.09   -21.10     0.58)  ; 75
+                                  (  483.14   971.41   -20.52     0.58)  ; 76
+                                  (  481.97   971.41   -19.15     0.58)  ; 77
+                                  (  481.39   972.04   -19.15     0.58)  ; 78
+                                  (  480.52   973.62   -17.17     0.58)  ; 79
+                                  (  480.22   974.88   -15.20     0.58)  ; 80
+                                  (  480.22   978.04   -13.70     0.58)  ; 81
+                                  (  480.22   980.26   -13.70     0.58)  ; 82
+                                  (  480.22   981.20   -13.42     0.58)  ; 83
+                                  (  479.06   981.52   -13.42     0.58)  ; 84
+                                  (  477.89   980.89   -13.38     0.58)  ; 85
+                                  (  476.72   980.26   -12.42     0.58)  ; 86
+                                  (  474.85   981.01   -12.32     0.58)  ; 87
+                                  (  473.69   982.28   -12.32     0.58)  ; 88
+                                  (  472.81   983.86   -12.00     0.58)  ; 89
+                                  (  471.06   984.81   -12.00     0.58)  ; 90
+                                  (  470.19   986.07   -11.85     0.58)  ; 91
+                                  (  468.73   987.33   -11.22     0.58)  ; 92
+                                  (  467.85   987.97    -9.10     0.58)  ; 93
+                                  (  467.27   988.28    -7.38     0.58)  ; 94
+                                  (  466.98   990.49    -7.38     0.58)  ; 95
+                                  (  465.81   992.71    -6.42     0.58)  ; 96
+                                  (  464.64   994.03    -6.13     0.58)  ; 97
+                                  (  463.18   996.25    -6.13     0.58)  ; 98
+                                  (  463.18   998.46    -5.07     0.58)  ; 99
+                                  (  462.31  1000.35    -5.00     0.58)  ; 100
+                                  (  460.85  1001.62    -5.00     0.58)  ; 101
+                                  (  459.10  1002.88    -3.85     0.58)  ; 102
+                                  (  457.64  1003.20    -3.85     0.58)  ; 103
+                                  (  457.72  1003.58    -3.30     0.58)  ; 104
+                                  (  457.43  1005.16    -3.30     0.58)  ; 105
+                                  (  456.27  1006.74    -1.22     0.58)  ; 106
+                                  (  455.39  1007.05    -1.22     0.58)  ; 107
+                                  (  453.64  1007.05    -0.80     0.58)  ; 108
+                                  (  452.18  1006.74    -0.15     0.58)  ; 109
+                                  (  450.72  1007.37     0.82     0.58)  ; 110
+                                  (  450.14  1008.32     2.53     0.58)  ; 111
+                                  (  450.43  1009.27     3.82     0.58)  ; 112
+                                  (  450.14  1011.79     4.27     0.58)  ; 113
+                                  (  449.26  1014.95     4.35     0.58)  ; 114
+                                  (  448.68  1017.48     6.05     0.58)  ; 115
+                                  (  447.80  1017.80     6.13     0.58)  ; 116
+                                  (  446.05  1018.43     8.38     0.58)  ; 117
+                                  (  444.30  1019.38     8.47     0.58)  ; 118
+                                  (  443.72  1021.27     9.20     0.58)  ; 119
+                                  (  441.38  1022.22     9.85     0.58)  ; 120
+                                  (  440.80  1023.17    11.25     0.58)  ; 121
+                                  (  441.38  1023.80    12.50     0.58)  ; 122
+                                  (  441.97  1025.70    13.32     0.58)  ; 123
+                                  (  440.80  1028.23    13.72     0.58)  ; 124
+                                  (  440.22  1028.86    13.95     0.58)  ; 125
+                                  (  437.88  1029.49    15.48     0.58)  ; 126
+
+                                  (Cross
+                                    (Color Orange)
+                                    (Name "Marker 3")
+                                    (  564.56   894.72   -76.97     1.17)  ; 1
+                                    (  561.35   898.51   -77.32     1.17)  ; 2
+                                    (  563.69   898.20   -77.32     1.17)  ; 3
+                                    (  559.31   902.31   -77.32     0.88)  ; 4
+                                    (  559.60   901.04   -77.32     0.88)  ; 5
+                                    (  560.48   901.99   -77.32     0.88)  ; 6
+                                    (  558.44   904.52   -77.63     0.88)  ; 7
+                                    (  556.98   904.83   -77.63     0.88)  ; 8
+                                    (  557.85   906.10   -77.63     0.88)  ; 9
+                                    (  556.10   907.36   -77.30     0.88)  ; 10
+                                    (  556.39   908.63   -77.30     0.88)  ; 11
+                                    (  554.35   909.57   -75.60     0.88)  ; 12
+                                    (  553.77   915.64   -70.32     0.58)  ; 13
+                                    (  553.77   915.01   -70.32     0.58)  ; 14
+                                    (  552.02   915.96   -68.67     0.58)  ; 15
+                                    (  551.14   918.17   -68.67     0.58)  ; 16
+                                    (  552.89   918.17   -68.67     0.58)  ; 17
+                                    (  550.85   918.80   -68.67     0.58)  ; 18
+                                    (  549.10   923.22   -67.68     0.58)  ; 19
+                                    (  549.39   921.96   -67.68     0.58)  ; 20
+                                    (  550.85   921.64   -67.68     0.58)  ; 21
+                                    (  547.64   925.12   -67.13     0.58)  ; 22
+                                    (  547.93   927.65   -67.13     0.58)  ; 23
+                                    (  545.01   928.60   -66.35     0.58)  ; 24
+                                    (  545.01   929.86   -66.35     0.58)  ; 25
+                                    (  546.18   930.49   -66.35     0.58)  ; 26
+                                    (  543.26   933.34   -65.90     0.58)  ; 27
+                                    (  545.01   933.02   -65.90     0.58)  ; 28
+                                    (  545.30   933.97   -65.90     0.58)  ; 29
+                                    (  544.43   936.18   -65.90     0.58)  ; 30
+                                    (  542.97   939.66   -65.43     0.58)  ; 31
+                                    (  541.22   940.92   -65.43     0.58)  ; 32
+                                    (  539.76   940.92   -63.65     0.58)  ; 33
+                                    (  539.47   943.45   -63.65     0.58)  ; 34
+                                    (  540.34   942.82   -63.65     0.58)  ; 35
+                                    (  537.43   945.98   -63.47     0.58)  ; 36
+                                    (  538.30   945.03   -63.47     0.58)  ; 37
+                                    (  542.18   937.19   -66.57     0.58)  ; 38
+                                    (  535.76   946.99   -63.13     0.58)  ; 39
+                                    (  535.76   948.57   -63.13     0.58)  ; 40
+                                    (  534.59   949.83   -62.45     0.58)  ; 41
+                                    (  532.26   949.20   -62.45     0.58)  ; 42
+                                    (  531.38   950.78   -61.75     0.58)  ; 43
+                                    (  532.55   951.73   -61.75     0.58)  ; 44
+                                    (  529.05   954.57   -59.50     0.58)  ; 45
+                                    (  527.30   953.62   -57.92     0.58)  ; 46
+                                    (  523.32   953.71   -51.85     0.58)  ; 47
+                                    (  524.20   952.45   -51.85     0.58)  ; 48
+                                    (  524.20   955.29   -51.85     0.58)  ; 49
+                                    (  522.16   955.61   -51.22     0.58)  ; 50
+                                    (  523.32   956.56   -51.22     0.58)  ; 51
+                                    (  520.99   957.82   -49.72     0.58)  ; 52
+                                    (  521.57   957.19   -49.45     0.58)  ; 53
+                                    (  518.66   955.92   -47.92     0.58)  ; 54
+                                    (  518.36   957.19   -47.13     0.58)  ; 55
+                                    (  516.03   956.56   -46.20     0.58)  ; 56
+                                    (  513.69   955.61   -44.25     0.58)  ; 57
+                                    (  514.86   957.50   -44.25     0.58)  ; 58
+                                    (  512.24   958.45   -43.07     0.58)  ; 59
+                                    (  514.28   958.45   -43.07     0.58)  ; 60
+                                    (  512.53   960.35   -43.07     0.58)  ; 61
+                                    (  510.48   959.72   -41.55     0.58)  ; 62
+                                    (  508.44   956.24   -41.15     0.58)  ; 63
+                                    (  504.07   960.98   -38.10     0.58)  ; 64
+                                    (  506.98   959.08   -38.10     0.58)  ; 65
+                                    (  501.15   958.45   -35.40     0.58)  ; 66
+                                    (  500.56   960.35   -35.40     0.58)  ; 67
+                                    (  502.02   959.72   -35.40     0.58)  ; 68
+                                    (  499.40   960.03   -35.40     0.58)  ; 69
+                                    (  497.65   965.72   -31.45     0.58)  ; 70
+                                    (  497.94   965.09   -31.45     0.58)  ; 71
+                                    (  496.77   966.67   -31.45     0.58)  ; 72
+                                    (  495.60   964.77   -31.45     0.58)  ; 73
+                                    (  495.02   966.67   -28.05     0.58)  ; 74
+                                    (  495.31   967.93   -26.50     0.58)  ; 75
+                                    (  493.27   966.35   -25.13     0.58)  ; 76
+                                    (  491.02   968.25   -22.88     0.58)  ; 77
+                                    (  490.44   970.14   -22.02     0.58)  ; 78
+                                    (  489.27   969.51   -21.10     0.58)  ; 79
+                                    (  488.39   969.83   -21.10     0.58)  ; 80
+                                    (  488.10   969.83   -21.10     0.58)  ; 81
+                                    (  488.10   971.41   -21.10     0.58)  ; 82
+                                    (  485.48   971.41   -20.52     0.58)  ; 83
+                                    (  483.73   972.04   -20.52     0.58)  ; 84
+                                    (  484.31   970.46   -20.52     0.58)  ; 85
+                                    (  482.27   971.09   -19.15     0.58)  ; 86
+                                    (  482.56   972.36   -19.15     0.58)  ; 87
+                                    (  481.68   972.67   -17.17     0.58)  ; 88
+                                    (  481.10   975.52   -13.70     0.58)  ; 89
+                                    (  479.64   978.99   -13.70     0.58)  ; 90
+                                    (  477.31   981.20   -12.42     0.58)  ; 91
+                                    (  478.76   979.94   -12.42     0.58)  ; 92
+                                    (  476.43   979.62   -12.42     0.58)  ; 93
+                                    (  473.69   981.33   -12.32     0.58)  ; 94
+                                    (  475.15   981.96   -12.32     0.58)  ; 95
+                                    (  474.27   983.54   -12.00     0.58)  ; 96
+                                    (  473.98   984.17   -12.00     0.58)  ; 97
+                                    (  470.77   984.17   -12.00     0.58)  ; 98
+                                    (  468.43   986.39   -11.22     0.58)  ; 99
+                                    (  466.39   988.28    -7.38     0.58)  ; 100
+                                    (  467.85   989.86    -6.42     0.58)  ; 101
+                                    (  466.10   989.86    -6.42     0.58)  ; 102
+                                    (  465.81   991.44    -6.42     0.58)  ; 103
+                                    (  463.18   994.03    -6.13     0.58)  ; 104
+                                    (  463.77   999.09    -5.00     0.58)  ; 105
+                                    (  461.72  1000.04    -5.00     0.58)  ; 106
+                                    (  462.31   999.72    -5.00     0.58)  ; 107
+                                    (  460.85  1002.88    -3.85     0.58)  ; 108
+                                    (  461.72  1002.25    -3.85     0.58)  ; 109
+                                    (  457.05  1003.83    -2.80     0.58)  ; 110
+                                    (  459.39  1004.15    -6.32     0.58)  ; 111
+                                    (  455.68  1005.16    -1.22     0.58)  ; 112
+                                    (  456.85  1006.74    -1.22     0.58)  ; 113
+                                    (  457.72  1005.47    -1.22     0.58)  ; 114
+                                    (  454.51  1007.69    -1.22     0.58)  ; 115
+                                    (  455.39  1007.69    -1.22     0.58)  ; 116
+                                    (  452.76  1007.69     0.28     0.58)  ; 117
+                                    (  449.85  1011.16     4.27     0.58)  ; 118
+                                    (  451.01  1009.90     4.27     0.58)  ; 119
+                                    (  450.72  1014.32     4.35     0.58)  ; 120
+                                    (  444.88  1020.64     9.72     0.58)  ; 121
+                                    (  442.84  1022.54     9.85     0.58)  ; 122
+                                    (  441.09  1024.12    13.72     0.58)  ; 123
+                                    (  441.38  1025.38    13.72     0.58)  ; 124
+                                    (  442.84  1025.07    13.72     0.58)  ; 125
+                                    (  441.97  1028.23    13.72     0.58)  ; 126
+                                    (  438.47  1028.54    15.48     0.58)  ; 127
+                                    (  439.92  1027.59    15.48     0.58)  ; 128
+                                  )  ;  End of markers
+                                  (
+                                    (  437.36  1030.31    14.57     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-1-1-1
+                                    (  437.36  1030.63    16.63     0.29)  ; 2
+                                    (  438.24  1030.31    18.20     0.29)  ; 3
+                                    (  439.70  1030.00    19.50     0.29)  ; 4
+                                    (  439.11  1031.58    22.17     0.29)  ; 5
+                                    (  439.11  1032.84    22.27     0.29)  ; 6
+                                    (  439.99  1034.10    22.50     0.29)  ; 7
+                                    (  440.57  1035.37    22.67     0.29)  ; 8
+                                    (  440.86  1036.00    23.70     0.29)  ; 9
+                                    (  441.74  1035.68    23.85     0.29)  ; 10
+                                    (  442.03  1038.21    25.45     0.29)  ; 11
+                                    (  442.32  1040.11    25.80     0.29)  ; 12
+                                    (  443.49  1042.00    26.72     0.29)  ; 13
+                                    (  444.07  1042.32    27.83     0.29)  ; 14
+                                    (  444.36  1044.22    29.08     0.29)  ; 15
+                                    (  444.66  1046.74    29.58     0.29)  ; 16
+                                    (  445.24  1048.32    29.85     0.29)  ; 17
+                                    (  446.41  1048.01    32.83     0.29)  ; 18
+                                    (  447.57  1048.32    32.83     0.29)  ; 19
+                                    (  447.87  1049.90    33.10     0.29)  ; 20
+                                    (  446.70  1050.85    33.67     0.29)  ; 21
+                                    (  448.74  1051.17    34.22     0.29)  ; 22
+                                    (  450.49  1054.64    35.22     0.58)  ; 23
+                                    (  451.08  1056.54    35.30     0.58)  ; 24
+                                    (  453.12  1056.86    36.27     0.58)  ; 25
+                                    (  454.58  1057.80    36.47     0.29)  ; 26
+                                    (  455.45  1060.02    36.72     0.29)  ; 27
+                                    (  456.62  1062.54    37.35     0.29)  ; 28
+                                    (  458.08  1065.07    38.15     0.29)  ; 29
+                                    (  459.83  1065.39    38.27     0.29)  ; 30
+                                    (  460.71  1066.65    38.30     0.29)  ; 31
+                                     Low
+                                  |
+                                    (  435.90  1029.36    15.97     0.58)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-1-1-2
+                                    (  434.73  1030.00    16.75     0.29)  ; 2
+                                    (  434.15  1031.89    17.45     0.29)  ; 3
+                                    (  433.57  1035.68    18.75     0.29)  ; 4
+                                    (  433.28  1038.21    19.88     0.29)  ; 5
+                                    (  432.69  1038.84    21.05     0.29)  ; 6
+                                    (  431.82  1039.16    21.05     0.29)  ; 7
+                                    (  430.65  1039.79    21.05     0.29)  ; 8
+                                    (  430.36  1041.69    21.05     0.29)  ; 9
+                                    (  430.36  1044.53    21.38     0.29)  ; 10
+                                    (  429.19  1045.48    22.67     0.29)  ; 11
+                                    (  427.44  1047.06    22.67     0.29)  ; 12
+                                    (  424.81  1048.01    23.25     0.29)  ; 13
+                                    (  424.81  1048.96    23.25     0.29)  ; 14
+                                    (  425.10  1050.85    23.37     0.29)  ; 15
+                                    (  425.10  1052.75    23.67     0.29)  ; 16
+                                    (  424.23  1053.70    23.67     0.29)  ; 17
+                                    (  422.77  1054.96    23.78     0.29)  ; 18
+                                    (  420.73  1055.59    23.78     0.29)  ; 19
+                                    (  420.14  1056.22    23.85     0.29)  ; 20
+                                    (  419.85  1057.49    23.85     0.29)  ; 21
+                                    (  419.27  1060.02    24.15     0.29)  ; 22
+                                    (  417.81  1060.96    24.50     0.29)  ; 23
+                                    (  416.93  1062.23    25.45     0.29)  ; 24
+                                    (  416.93  1063.49    25.45     0.29)  ; 25
+                                    (  417.52  1064.44    25.45     0.29)  ; 26
+                                    (  416.06  1067.60    25.67     0.29)  ; 27
+                                    (  414.02  1070.13    25.67     0.29)  ; 28
+                                    (  413.11  1071.39    26.00     0.29)  ; 29
+                                    (  411.65  1074.24    26.28     0.29)  ; 30
+                                    (  410.78  1075.18    26.92     0.29)  ; 31
+                                    (  409.61  1076.13    26.92     0.29)  ; 32
+                                    (  410.49  1077.71    27.15     0.29)  ; 33
+                                    (  409.32  1079.29    27.27     0.29)  ; 34
+                                    (  408.15  1081.50    28.40     0.29)  ; 35
+                                    (  405.82  1084.35    29.00     0.29)  ; 36
+                                    (  404.35  1088.02    30.47     0.29)  ; 37
+                                    (  402.30  1090.54    30.70     0.29)  ; 38
+                                    (  400.26  1094.02    32.08     0.29)  ; 39
+                                    (  398.51  1097.81    34.13     0.29)  ; 40
+                                    (  395.88  1101.60    35.67     0.29)  ; 41
+                                    (  395.30  1104.13    35.67     0.29)  ; 42
+
+                                    (Cross
+                                      (Color Orange)
+                                      (Name "Marker 3")
+                                      (  436.78  1028.42    16.75     0.29)  ; 1
+                                      (  433.57  1032.52    18.75     0.29)  ; 2
+                                      (  433.57  1031.89    18.75     0.29)  ; 3
+                                      (  433.57  1031.89    18.75     0.29)  ; 4
+                                      (  432.98  1035.37    18.75     0.29)  ; 5
+                                      (  434.15  1035.37    18.75     0.29)  ; 6
+                                      (  434.15  1036.63    18.75     0.29)  ; 7
+                                      (  432.11  1036.63    19.88     0.29)  ; 8
+                                      (  430.36  1039.79    21.05     0.29)  ; 9
+                                      (  431.23  1042.64    21.38     0.29)  ; 10
+                                      (  430.65  1045.48    22.67     0.29)  ; 11
+                                      (  429.48  1044.22    22.67     0.29)  ; 12
+                                      (  428.31  1045.80    22.67     0.29)  ; 13
+                                      (  427.15  1047.38    23.25     0.29)  ; 14
+                                      (  423.35  1053.70    23.78     0.29)  ; 15
+                                      (  425.69  1049.59    23.78     0.29)  ; 16
+                                      (  426.56  1051.80    23.78     0.29)  ; 17
+                                      (  419.27  1056.86    24.15     0.29)  ; 18
+                                      (  420.73  1057.80    24.15     0.29)  ; 19
+                                      (  421.02  1059.07    24.15     0.29)  ; 20
+                                      (  418.69  1061.28    25.45     0.29)  ; 21
+                                      (  418.10  1062.54    25.45     0.29)  ; 22
+                                      (  418.10  1063.81    25.45     0.29)  ; 23
+                                      (  418.39  1064.76    25.45     0.29)  ; 24
+                                      (  414.31  1068.23    25.67     0.29)  ; 25
+                                      (  416.64  1068.23    25.67     0.29)  ; 26
+                                      (  411.36  1072.97    26.28     0.29)  ; 27
+                                      (  412.53  1073.60    26.28     0.29)  ; 28
+                                      (  411.07  1078.34    27.27     0.29)  ; 29
+                                      (  409.61  1079.29    28.40     0.29)  ; 30
+                                      (  400.55  1096.23    35.67     0.29)  ; 31
+                                      (  398.22  1098.76    35.67     0.29)  ; 32
+                                      (  402.30  1092.44    27.30     0.29)  ; 33
+                                    )  ;  End of markers
+                                     Low
+                                  )  ;  End of split
+                                |
+                                  (  568.76   895.28   -74.42     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-1-2
+                                  (  569.05   897.81   -72.90     0.29)  ; 2
+                                  (  569.93   900.34   -71.28     0.29)  ; 3
+                                  (  571.09   903.50   -69.78     0.29)  ; 4
+                                  (  571.39   906.03   -68.93     0.29)  ; 5
+                                  (  572.26   908.56   -68.65     0.29)  ; 6
+                                  (  573.72   912.98   -68.20     0.29)  ; 7
+                                  (  574.01   917.09   -67.35     0.29)  ; 8
+                                  (  574.89   919.93   -66.35     0.29)  ; 9
+                                  (  574.89   923.09   -65.45     0.29)  ; 10
+                                  (  574.89   926.25   -63.90     0.29)  ; 11
+                                  (  575.18   928.78   -62.33     0.29)  ; 12
+                                  (  575.76   930.99   -60.77     0.29)  ; 13
+                                  (  576.05   933.20   -60.15     0.29)  ; 14
+                                  (  576.05   936.05   -59.40     0.29)  ; 15
+                                  (  576.64   938.58   -58.92     0.29)  ; 16
+                                  (  576.93   941.42   -58.00     0.29)  ; 17
+                                  (  576.35   945.84   -56.70     0.29)  ; 18
+                                  (  576.35   949.00   -55.13     0.29)  ; 19
+                                  (  575.47   949.64   -53.78     0.29)  ; 20
+                                  (  575.76   950.58   -53.58     0.29)  ; 21
+                                  (  576.05   951.85   -53.45     0.29)  ; 22
+                                  (  574.89   953.43   -52.57     0.29)  ; 23
+                                  (  575.18   955.32   -51.32     0.29)  ; 24
+                                  (  574.60   957.22   -50.97     0.29)  ; 25
+                                  (  574.30   958.48   -50.50     0.29)  ; 26
+                                  (  575.76   959.12   -49.38     0.29)  ; 27
+                                  (  576.64   960.06   -46.50     0.29)  ; 28
+                                  (  576.35   961.96   -44.85     0.29)  ; 29
+                                  (  575.76   962.91   -43.92     0.29)  ; 30
+                                  (  576.64   963.86   -42.95     0.29)  ; 31
+                                  (  577.81   964.17   -41.82     0.29)  ; 32
+                                  (  578.10   965.82   -41.22     0.29)  ; 33
+                                  (  578.10   967.40   -39.72     0.29)  ; 34
+                                  (  578.97   969.61   -37.30     0.29)  ; 35
+                                  (  578.68   971.19   -36.17     0.29)  ; 36
+                                  (  578.39   972.45   -34.70     0.29)  ; 37
+                                  (  578.97   973.08   -33.27     0.29)  ; 38
+                                  (  579.85   973.40   -33.27     0.29)  ; 39
+                                  (  581.02   974.98   -32.83     0.29)  ; 40
+                                  (  581.02   976.24   -32.55     0.29)  ; 41
+                                  (  581.31   978.14   -31.05     0.29)  ; 42
+                                  (  583.35   980.04   -29.92     0.29)  ; 43
+                                  (  584.23   982.25   -28.05     0.29)  ; 44
+                                  (  584.81   984.46   -27.65     0.29)  ; 45
+                                  (  586.27   987.30   -26.32     0.29)  ; 46
+                                  (  585.10   988.57   -26.32     0.29)  ; 47
+                                  (  584.52   991.73   -25.97     0.29)  ; 48
+                                  (  584.52   995.20   -25.35     0.29)  ; 49
+                                  (  583.64   995.84   -23.85     0.29)  ; 50
+                                  (  583.06   996.47   -23.85     0.29)  ; 51
+                                  (  583.35   999.00   -23.60     0.29)  ; 52
+                                  (  583.64  1001.21   -22.53     0.29)  ; 53
+                                  (  583.64  1002.53   -22.05     0.29)  ; 54
+                                  (  584.81  1004.11   -21.75     0.29)  ; 55
+                                  (  585.39  1006.64   -20.50     0.29)  ; 56
+                                  (  585.39  1008.54   -20.20     0.29)  ; 57
+                                  (  585.98  1009.49   -19.63     0.29)  ; 58
+                                  (  585.68  1010.75   -19.55     0.29)  ; 59
+                                  (  584.81  1012.96   -19.48     0.29)  ; 60
+                                  (  584.23  1016.12   -19.27     0.29)  ; 61
+                                  (  584.23  1019.28   -19.10     0.29)  ; 62
+                                  (  583.64  1022.76   -18.20     0.29)  ; 63
+                                  (  583.93  1027.18   -17.32     0.29)  ; 64
+                                  (  584.23  1029.46   -16.70     0.29)  ; 65
+                                  (  583.35  1031.04   -16.02     0.29)  ; 66
+                                  (  582.18  1032.93   -15.17     0.29)  ; 67
+                                  (  582.18  1035.15   -13.97     0.29)  ; 68
+                                  (  583.64  1037.04   -12.65     0.29)  ; 69
+                                  (  585.68  1037.36    -9.55     0.29)  ; 70
+                                  (  588.31  1037.04    -7.92     0.29)  ; 71
+                                  (  590.94  1037.99    -7.60     0.29)  ; 72
+                                  (  592.69  1038.94    -6.55     0.29)  ; 73
+                                  (  593.56  1038.94    -4.60     0.29)  ; 74
+                                  (  594.15  1037.99    -4.60     0.29)  ; 75
+                                  (  595.61  1036.41    -3.02     0.29)  ; 76
+                                  (  597.65  1036.09    -2.15     0.29)  ; 77
+                                  (  598.23  1036.73    -2.15     0.29)  ; 78
+                                  (  599.69  1037.36    -0.12     0.29)  ; 79
+                                  (  601.15  1036.73     0.10     0.29)  ; 80
+                                  (  603.48  1035.46     1.45     0.29)  ; 81
+                                  (  604.65  1035.46     1.45     0.29)  ; 82
+                                  (  605.53  1036.73     2.22     0.29)  ; 83
+                                  (  607.57  1037.67     3.32     0.29)  ; 84
+                                  (  608.45  1036.73     3.97     0.29)  ; 85
+                                  (  608.45  1035.78     3.97     0.29)  ; 86
+                                  (  609.32  1033.57     4.80     0.29)  ; 87
+                                  (  611.07  1032.62     5.25     0.29)  ; 88
+                                  (  613.41  1033.25     5.50     0.29)  ; 89
+                                  (  614.57  1034.83     5.88     0.29)  ; 90
+                                  (  616.03  1035.78     8.15     0.29)  ; 91
+                                  (  619.24  1035.78     8.73     0.29)  ; 92
+                                  (  621.87  1035.46     9.40     0.29)  ; 93
+                                  (  623.62  1034.51    10.50     0.29)  ; 94
+                                  (  625.08  1035.15    12.07     0.29)  ; 95
+                                  (  625.95  1036.73    14.52     0.29)  ; 96
+                                  (  627.41  1039.57    14.88     0.29)  ; 97
+                                  (  630.33  1042.10    16.90     0.29)  ; 98
+                                  (  630.92  1044.63    19.23     0.29)  ; 99
+                                  (  632.37  1043.99    20.40     0.29)  ; 100
+                                  (  633.25  1044.63    20.65     0.29)  ; 101
+                                  (  633.54  1046.21    22.65     0.29)  ; 102
+                                  (  635.00  1047.15    24.22     0.29)  ; 103
+                                   Low
+                                )  ;  End of split
+                              |
+                                (  573.43   887.45   -70.63     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-2
+                                (  574.01   889.34   -70.47     0.88)  ; 2
+                                (  573.72   892.19   -70.13     0.88)  ; 3
+                                (  574.89   895.35   -68.80     0.88)  ; 4
+                                (  575.47   898.82   -67.47     0.88)  ; 5
+                                (  576.35   902.62   -64.38     0.88)  ; 6
+                                (  576.93   906.41   -63.53     0.88)  ; 7
+                                (  577.81   909.25   -63.22     0.88)  ; 8
+                                (  578.97   910.83   -63.05     0.88)  ; 9
+                                (  579.26   912.73   -62.77     0.88)  ; 10
+                                (  578.97   915.89   -62.22     0.88)  ; 11
+                                (  579.26   916.84   -62.02     0.88)  ; 12
+                                (  580.43   920.00   -61.15     0.88)  ; 13
+                                (  580.72   923.16   -60.85     0.88)  ; 14
+                                (  581.31   926.00   -60.22     0.88)  ; 15
+                                (  581.60   928.84   -59.85     0.88)  ; 16
+                                (  581.89   931.06   -58.78     0.88)  ; 17
+                                (  582.77   933.27   -58.20     0.88)  ; 18
+                                (  583.64   936.11   -57.50     0.88)  ; 19
+                                (  584.52   939.27   -56.82     0.88)  ; 20
+                                (  584.23   942.12   -55.88     0.88)  ; 21
+                                (  585.10   944.96   -55.80     0.88)  ; 22
+                                (  585.98   946.22   -55.80     0.88)  ; 23
+                                (  587.73   947.80   -55.47     0.88)  ; 24
+                                (  587.44   949.07   -55.07     0.88)  ; 25
+                                (  586.85   951.28   -53.85     0.88)  ; 26
+                                (  587.73   952.54   -53.42     0.88)  ; 27
+                                (  588.89   955.39   -52.13     0.88)  ; 28
+                                (  590.06   957.92   -50.92     0.88)  ; 29
+                                (  591.23   960.13   -49.38     0.88)  ; 30
+                                (  592.40   962.02   -48.33     0.88)  ; 31
+                                (  592.40   964.24   -48.20     0.88)  ; 32
+                                (  591.81   966.76   -47.75     0.88)  ; 33
+                                (  591.81   968.03   -46.20     0.88)  ; 34
+                                (
+                                  (  589.77   972.89   -45.48     0.58)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-2-1
+                                  (  588.02   976.05   -43.97     0.58)  ; 2
+                                  (  586.27   977.32   -41.82     0.58)  ; 3
+                                  (  585.39   980.16   -41.50     0.58)  ; 4
+                                  (  583.35   982.06   -41.32     0.58)  ; 5
+                                  (  581.31   984.59   -41.22     0.58)  ; 6
+                                  (  580.43   987.43   -41.05     0.58)  ; 7
+                                  (  579.85   988.69   -40.80     0.58)  ; 8
+                                  (  577.81   991.22   -40.60     0.58)  ; 9
+                                  (  576.05   992.80   -39.92     0.58)  ; 10
+                                  (  575.18   995.33   -39.88     0.58)  ; 11
+                                  (  574.01   996.59   -39.75     0.58)  ; 12
+                                  (  571.68   999.44   -39.70     0.58)  ; 13
+                                  (  569.93  1001.33   -39.42     0.58)  ; 14
+                                  (  569.93  1002.60   -39.35     0.58)  ; 15
+                                  (  569.05  1006.07   -39.25     0.58)  ; 16
+                                  (  569.05  1009.23   -38.97     0.58)  ; 17
+                                  (  567.88  1011.45   -38.45     0.58)  ; 18
+                                  (  566.72  1012.39   -38.42     0.58)  ; 19
+                                  (  565.55  1013.97   -38.27     0.58)  ; 20
+                                  (  564.97  1015.87   -38.22     0.58)  ; 21
+                                  (  565.26  1018.08   -38.13     0.58)  ; 22
+                                  (  565.55  1019.98   -37.83     0.58)  ; 23
+                                  (  564.97  1021.87   -37.60     0.58)  ; 24
+                                  (  564.97  1025.35   -37.42     0.58)  ; 25
+                                  (  564.67  1028.19   -37.38     0.58)  ; 26
+                                  (  564.38  1030.09   -37.22     0.58)  ; 27
+                                  (  564.38  1031.67   -37.13     0.58)  ; 28
+                                  (  564.38  1032.93   -37.02     0.58)  ; 29
+                                  (
+                                    (  563.80  1034.51   -36.85     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-2-1-1
+                                    (  563.21  1036.09   -35.33     0.29)  ; 2
+                                    (  562.92  1037.99   -33.72     0.29)  ; 3
+                                    (  562.92  1039.57   -33.15     0.29)  ; 4
+                                    (  563.21  1041.15   -33.05     0.29)  ; 5
+                                    (  562.05  1042.73   -32.90     0.29)  ; 6
+                                    (  560.88  1045.26   -32.58     0.29)  ; 7
+                                    (  560.00  1047.15   -32.35     0.29)  ; 8
+                                    (  559.42  1048.10   -32.35     0.29)  ; 9
+                                    (  560.30  1049.68   -32.35     0.29)  ; 10
+                                    (  559.71  1051.33   -32.32     0.29)  ; 11
+                                    (  558.55  1052.91   -32.17     0.29)  ; 12
+                                    (  557.09  1055.12   -30.95     0.29)  ; 13
+                                    (  556.21  1057.01   -29.60     0.29)  ; 14
+                                    (  555.34  1059.23   -26.75     0.29)  ; 15
+                                    (  555.63  1060.17   -25.52     0.29)  ; 16
+                                    (  556.79  1061.12   -24.85     0.29)  ; 17
+                                    (  556.21  1062.39   -24.58     0.29)  ; 18
+                                    (  555.92  1064.91   -23.70     0.29)  ; 19
+                                    (  555.63  1067.13   -23.57     0.29)  ; 20
+                                    (  556.21  1069.97   -23.20     0.29)  ; 21
+                                    (  555.92  1070.92   -22.35     0.29)  ; 22
+                                    (  554.75  1071.23   -22.35     0.29)  ; 23
+                                    (  553.58  1072.81   -22.08     0.29)  ; 24
+                                    (  553.29  1074.39   -21.67     0.29)  ; 25
+                                    (  552.71  1075.97   -20.67     0.29)  ; 26
+                                    (  551.25  1076.92   -19.88     0.29)  ; 27
+                                    (  550.08  1078.82   -19.58     0.29)  ; 28
+                                    (  548.33  1081.35   -19.05     0.29)  ; 29
+                                    (  547.16  1082.61   -18.38     0.29)  ; 30
+                                    (  545.41  1084.89   -16.88     0.29)  ; 31
+                                    (  545.12  1086.15   -15.55     0.29)  ; 32
+                                    (  543.08  1086.78   -14.77     0.29)  ; 33
+                                    (  543.37  1087.73   -13.45     0.29)  ; 34
+                                    (  542.20  1088.68   -13.27     0.29)  ; 35
+                                    (  542.20  1090.89   -11.68     0.29)  ; 36
+                                    (  541.04  1093.73   -10.97     0.29)  ; 37
+                                    (  539.87  1095.63   -10.52     0.29)  ; 38
+                                     Normal
+                                  |
+                                    (  563.21  1034.33   -37.22     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-2-1-2
+                                    (  562.63  1036.22   -37.30     0.29)  ; 2
+                                    (  562.63  1037.17   -37.32     0.29)  ; 3
+                                    (  563.21  1038.43   -38.27     0.29)  ; 4
+                                    (  562.63  1038.75   -41.20     0.29)  ; 5
+                                    (  562.34  1040.01   -42.15     0.29)  ; 6
+                                    (  562.92  1041.91   -45.77     0.29)  ; 7
+                                    (  563.21  1043.81   -46.50     0.29)  ; 8
+                                    (  563.80  1045.07   -46.88     0.29)  ; 9
+                                    (  563.21  1045.39   -47.13     0.29)  ; 10
+                                    (  562.34  1046.02   -48.27     0.29)  ; 11
+                                    (  562.34  1046.97   -48.55     0.29)  ; 12
+                                    (  563.21  1048.23   -49.67     0.29)  ; 13
+                                    (  564.09  1049.49   -50.05     0.29)  ; 14
+                                    (  563.51  1050.76   -50.50     0.29)  ; 15
+                                    (  562.92  1051.71   -51.10     0.29)  ; 16
+                                    (  563.80  1053.29   -51.52     0.29)  ; 17
+                                    (  564.09  1053.92   -51.77     0.29)  ; 18
+                                    (  563.21  1055.18   -51.88     0.29)  ; 19
+                                    (  562.34  1056.45   -52.50     0.29)  ; 20
+                                    (  562.92  1057.39   -53.95     0.29)  ; 21
+                                    (  563.51  1058.97   -54.15     0.29)  ; 22
+                                    (  564.38  1059.92   -54.65     0.29)  ; 23
+                                    (  563.51  1060.87   -56.03     0.29)  ; 24
+                                    (  562.63  1061.19   -56.32     0.29)  ; 25
+                                    (  563.21  1062.77   -56.38     0.29)  ; 26
+                                    (  563.80  1065.29   -57.42     0.29)  ; 27
+                                    (  563.51  1066.87   -58.75     0.29)  ; 28
+                                    (  562.63  1067.82   -60.05     0.29)  ; 29
+                                    (  561.46  1069.09   -62.47     0.29)  ; 30
+                                    (  562.05  1070.03   -62.47     0.29)  ; 31
+                                    (  563.21  1072.25   -62.57     0.29)  ; 32
+                                    (  563.21  1074.46   -65.38     0.29)  ; 33
+                                    (  562.92  1077.30   -66.75     0.29)  ; 34
+                                    (  563.21  1080.15   -68.47     0.29)  ; 35
+                                    (  562.63  1082.36   -70.32     0.29)  ; 36
+                                    (  561.46  1084.25   -70.50     0.29)  ; 37
+                                    (  560.30  1088.05   -70.90     0.29)  ; 38
+                                    (  560.00  1090.26   -71.77     0.29)  ; 39
+                                    (  558.55  1091.84   -73.72     0.29)  ; 40
+                                     Normal
+                                  )  ;  End of split
+                                |
+                                  (  592.98   971.06   -45.68     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-2-2
+                                  (  593.27   972.64   -39.97     0.88)  ; 2
+                                  (  592.69   975.17   -38.33     0.88)  ; 3
+                                  (  592.69   976.75   -36.72     0.88)  ; 4
+                                  (  594.15   978.33   -35.50     0.88)  ; 5
+                                  (  595.02   979.59   -34.10     0.58)  ; 6
+                                  (  594.44   980.86   -34.10     0.58)  ; 7
+                                  (  593.56   981.81   -34.10     0.58)  ; 8
+                                  (  592.40   982.12   -34.10     0.58)  ; 9
+                                  (  591.52   983.39   -31.27     0.58)  ; 10
+                                  (  592.10   984.33   -31.27     0.58)  ; 11
+                                  (  593.27   986.55   -29.05     0.58)  ; 12
+                                  (  593.27   988.44   -26.92     0.58)  ; 13
+                                  (  592.40   990.02   -25.65     0.58)  ; 14
+                                  (  591.23   991.29   -23.67     0.58)  ; 15
+                                  (  589.77   993.18   -23.67     0.58)  ; 16
+                                  (  588.89   996.03   -22.83     0.58)  ; 17
+                                  (  588.89   997.61   -21.38     0.58)  ; 18
+                                  (  589.48   998.87   -21.38     0.58)  ; 19
+                                  (  591.23  1000.45   -19.48     0.58)  ; 20
+                                  (  592.69  1001.08   -17.55     0.58)  ; 21
+                                  (  594.73  1001.40   -16.07     0.58)  ; 22
+                                  (  594.44  1000.77   -15.90     0.58)  ; 23
+                                  (  593.86  1000.77   -15.82     0.58)  ; 24
+                                  (  592.98  1001.71   -15.05     0.58)  ; 25
+                                  (  592.98  1002.35   -13.02     0.58)  ; 26
+                                  (  593.27  1003.93    -9.75     0.58)  ; 27
+                                  (  592.10  1006.45    -8.57     0.58)  ; 28
+                                  (  591.81  1007.72    -7.70     0.58)  ; 29
+
+                                  (Cross
+                                    (Color Orange)
+                                    (Name "Marker 3")
+                                    (  592.10   971.06   -45.68     0.88)  ; 1
+                                    (  593.27   968.53   -45.68     0.88)  ; 2
+                                    (  594.15   969.80   -45.68     0.88)  ; 3
+                                    (  594.15   972.33   -41.73     0.88)  ; 4
+                                    (  591.81   977.07   -35.50     0.88)  ; 5
+                                    (  592.69   977.70   -35.50     0.88)  ; 6
+                                    (  594.15   976.43   -35.50     0.88)  ; 7
+                                    (  594.15   980.23   -34.10     0.58)  ; 8
+                                    (  595.90   978.65   -34.10     0.58)  ; 9
+                                    (  593.27   982.75   -33.45     0.58)  ; 10
+                                    (  591.23   984.02   -30.15     0.58)  ; 11
+                                    (  591.23   984.65   -29.05     0.58)  ; 12
+                                    (  593.27   984.65   -29.05     0.58)  ; 13
+                                    (  592.10   985.91   -29.05     0.58)  ; 14
+                                    (  592.10   988.44   -25.65     0.58)  ; 15
+                                    (  592.40   987.49   -25.65     0.58)  ; 16
+                                    (  590.35   990.97   -23.67     0.58)  ; 17
+                                    (  592.40   991.29   -23.67     0.58)  ; 18
+                                    (  589.77   991.92   -23.67     0.58)  ; 19
+                                    (  589.19   993.81   -23.67     0.58)  ; 20
+                                    (  590.65   994.76   -23.67     0.58)  ; 21
+                                    (  590.65   995.71   -22.83     0.58)  ; 22
+                                    (  588.02   997.29   -21.38     0.58)  ; 23
+                                    (  589.77   997.61   -21.38     0.58)  ; 24
+                                    (  590.06  1000.13   -19.48     0.58)  ; 25
+                                    (  591.52   999.19   -19.48     0.58)  ; 26
+                                    (  591.23  1001.40   -17.55     0.58)  ; 27
+                                    (  592.40   999.82   -17.55     0.58)  ; 28
+                                    (  593.56  1000.45   -16.07     0.58)  ; 29
+                                    (  595.02  1000.13   -16.07     0.58)  ; 30
+                                    (  595.61  1001.71   -16.07     0.58)  ; 31
+                                    (  592.98  1002.35    -9.75     0.58)  ; 32
+                                    (  593.86  1002.66    -9.75     0.58)  ; 33
+                                    (  594.15  1004.56    -8.57     0.58)  ; 34
+                                    (  593.56  1006.14    -7.70     0.58)  ; 35
+                                  )  ;  End of markers
+                                  (
+                                    (  589.19  1009.93    -7.70     0.58)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-2-2-1
+                                    (  587.73  1011.19    -6.70     0.58)  ; 2
+                                    (  586.56  1013.09    -6.70     0.58)  ; 3
+                                    (  584.81  1014.35    -5.03     0.58)  ; 4
+                                    (  583.06  1014.04    -0.67     0.58)  ; 5
+                                    (  581.02  1013.41    -0.30     0.58)  ; 6
+                                    (  579.85  1014.04     2.03     0.29)  ; 7
+                                    (  578.97  1015.30     2.85     0.29)  ; 8
+                                    (  578.97  1016.88     2.85     0.29)  ; 9
+                                    (  577.81  1017.83     3.02     0.29)  ; 10
+                                    (  576.64  1018.46     3.02     0.29)  ; 11
+                                    (  576.64  1019.73     4.72     0.29)  ; 12
+                                    (  577.51  1020.99     5.45     0.29)  ; 13
+                                    (  576.93  1021.94     5.45     0.29)  ; 14
+                                    (  575.76  1024.15     7.20     0.29)  ; 15
+                                    (  574.89  1024.47     8.88     0.29)  ; 16
+                                    (  573.43  1024.15     9.93     0.29)  ; 17
+                                    (  571.39  1023.52    10.07     0.29)  ; 18
+                                    (  570.22  1024.15    10.95     0.29)  ; 19
+                                    (  570.22  1025.41    10.95     0.29)  ; 20
+                                    (  570.22  1027.31    11.37     0.29)  ; 21
+                                    (  571.39  1027.63    17.10     0.29)  ; 22
+                                    (  571.09  1028.26    17.35     0.29)  ; 23
+                                    (  569.63  1028.89    17.38     0.29)  ; 24
+                                    (  569.05  1030.47    18.40     0.29)  ; 25
+                                    (  567.59  1030.79    18.55     0.29)  ; 26
+                                    (  567.01  1031.10    18.92     0.29)  ; 27
+                                    (  566.72  1031.42    20.20     0.29)  ; 28
+                                    (  566.42  1031.73    20.20     0.29)  ; 29
+                                    (  567.01  1033.31    20.20     0.29)  ; 30
+                                    (  566.72  1033.95    20.52     0.29)  ; 31
+                                    (  565.84  1033.95    21.92     0.29)  ; 32
+                                    (  564.67  1033.63    22.63     0.29)  ; 33
+                                    (  564.09  1033.95    23.80     0.29)  ; 34
+                                    (  564.38  1035.84    25.67     0.29)  ; 35
+                                    (  563.80  1037.42    25.87     0.29)  ; 36
+                                    (  562.63  1038.37    26.22     0.29)  ; 37
+                                    (  562.63  1039.00    27.10     0.29)  ; 38
+                                    (  564.09  1039.00    27.75     0.29)  ; 39
+                                    (  563.51  1040.27    28.07     0.29)  ; 40
+                                    (  561.46  1041.21    28.60     0.29)  ; 41
+                                    (  559.71  1043.74    29.62     0.29)  ; 42
+                                    (  559.13  1045.95    32.50     0.29)  ; 43
+                                    (  559.42  1048.17    34.10     0.29)  ; 44
+                                    (  559.71  1050.69    34.10     0.29)  ; 45
+                                    (  559.71  1052.02    34.32     0.29)  ; 46
+                                    (  558.25  1052.65    34.32     0.29)  ; 47
+                                    (  556.50  1052.97    34.38     0.29)  ; 48
+                                    (  555.63  1055.50    35.55     0.29)  ; 49
+                                    (  553.88  1058.03    36.70     0.29)  ; 50
+                                    (  553.00  1059.29    38.72     0.29)  ; 51
+                                    (  553.29  1061.19    40.92     0.29)  ; 52
+
+                                    (Cross
+                                      (Color Orange)
+                                      (Name "Marker 3")
+                                      (  588.60  1009.93    -6.70     0.58)  ; 1
+                                      (  590.06  1010.56    -6.70     0.58)  ; 2
+                                      (  589.19  1011.19    -6.70     0.58)  ; 3
+                                      (  587.44  1010.88    -6.70     0.58)  ; 4
+                                      (  587.73  1012.46    -6.70     0.58)  ; 5
+                                      (  587.14  1013.72    -6.70     0.58)  ; 6
+                                      (  583.93  1015.62    -3.13     0.58)  ; 7
+                                      (  583.35  1014.99     0.20     0.58)  ; 8
+                                      (  583.06  1013.09     0.50     0.58)  ; 9
+                                      (  581.02  1013.09     0.50     0.58)  ; 10
+                                      (  581.02  1014.35     0.50     0.58)  ; 11
+                                      (  579.85  1017.20     2.85     0.29)  ; 12
+                                      (  578.39  1018.46     3.02     0.29)  ; 13
+                                      (  576.05  1018.15     3.02     0.29)  ; 14
+                                      (  576.05  1019.41     4.72     0.29)  ; 15
+                                      (  578.39  1020.04     5.45     0.29)  ; 16
+                                      (  577.51  1022.57     7.20     0.29)  ; 17
+                                      (  573.43  1024.78    10.07     0.29)  ; 18
+                                      (  569.63  1027.31    12.40     0.29)  ; 19
+                                      (  571.68  1027.94    12.40     0.29)  ; 20
+                                      (  570.22  1029.52    18.40     0.29)  ; 21
+                                      (  569.34  1029.21    18.40     0.29)  ; 22
+                                      (  566.42  1031.42    20.20     0.29)  ; 23
+                                      (  563.80  1033.31    23.80     0.29)  ; 24
+                                      (  564.38  1040.27    28.60     0.29)  ; 25
+                                      (  560.00  1041.85    29.62     0.29)  ; 26
+                                      (  560.59  1041.53    29.62     0.29)  ; 27
+                                      (  561.46  1040.90    29.62     0.29)  ; 28
+                                      (  560.88  1048.48    34.10     0.29)  ; 29
+                                      (  556.79  1052.34    35.55     0.29)  ; 30
+                                      (  554.75  1055.18    38.88     0.29)  ; 31
+                                      (  552.13  1058.34    38.88     0.29)  ; 32
+                                      (  552.13  1059.29    39.78     0.29)  ; 33
+                                    )  ;  End of markers
+                                     Low
+                                  |
+                                    (  592.10  1008.73    -7.55     0.58)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-2-2-2
+                                    (  593.56  1009.05    -6.10     0.58)  ; 2
+                                    (  596.48  1009.05    -5.32     0.58)  ; 3
+                                    (  598.82  1010.63    -5.13     0.58)  ; 4
+                                    (  601.15  1011.57    -4.43     0.58)  ; 5
+                                    (  602.03  1013.47    -4.20     0.58)  ; 6
+                                    (  602.90  1015.37    -3.60     0.58)  ; 7
+                                    (  604.36  1016.00    -0.65     0.58)  ; 8
+                                    (  606.69  1016.31     0.97     0.58)  ; 9
+                                    (  608.15  1017.89     1.67     0.58)  ; 10
+                                    (  609.32  1019.79     2.92     0.58)  ; 11
+                                    (  609.90  1022.00     4.43     0.58)  ; 12
+                                    (  610.20  1022.95     5.00     0.58)  ; 13
+                                    (
+                                      (  611.07  1024.85     6.85     0.58)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-2-2-2-1
+                                      (  612.82  1025.79     9.80     0.58)  ; 2
+                                      (  611.95  1025.79    11.98     0.58)  ; 3
+                                      (  611.07  1024.85    12.65     0.58)  ; 4
+                                      (  610.20  1024.85    13.38     0.58)  ; 5
+                                      (  610.49  1026.74    14.52     0.58)  ; 6
+                                      (  611.66  1028.01    14.52     0.29)  ; 7
+                                      (  613.99  1028.64    16.07     0.29)  ; 8
+                                      (  615.16  1028.95    17.32     0.29)  ; 9
+                                      (  614.57  1030.22    17.88     0.29)  ; 10
+                                      (  615.16  1031.17    19.35     0.29)  ; 11
+                                      (  616.91  1031.17    20.10     0.29)  ; 12
+                                      (  618.08  1032.11    21.77     0.29)  ; 13
+                                      (  619.53  1032.11    23.27     0.29)  ; 14
+                                      (  620.70  1031.80    23.52     0.29)  ; 15
+                                      (  620.99  1032.43    23.95     0.29)  ; 16
+                                      (  620.70  1034.01    24.38     0.29)  ; 17
+                                      (  620.70  1036.22    25.85     0.29)  ; 18
+                                      (  622.16  1037.17    25.85     0.29)  ; 19
+                                      (  622.74  1039.38    27.90     0.29)  ; 20
+                                      (  622.16  1041.59    29.45     0.29)  ; 21
+                                      (  620.99  1043.49    30.77     0.29)  ; 22
+                                      (  620.99  1044.12    32.08     0.29)  ; 23
+                                      (  621.58  1045.39    32.50     0.29)  ; 24
+                                      (  622.74  1045.70    32.60     0.29)  ; 25
+                                      (  624.50  1046.02    33.30     0.29)  ; 26
+                                      (  624.79  1047.60    33.77     0.29)  ; 27
+                                      (  624.20  1049.18    34.92     0.29)  ; 28
+                                      (  625.08  1050.76    36.27     0.29)  ; 29
+                                      (  627.12  1052.97    38.17     0.29)  ; 30
+                                       Low
+                                    |
+                                      (  612.24  1022.63     5.15     0.29)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-1-2-2-2-2-2-2
+                                      (  613.99  1021.69     6.65     0.29)  ; 2
+                                      (  615.45  1021.69     7.45     0.29)  ; 3
+                                      (  617.49  1022.00     8.68     0.29)  ; 4
+                                      (  618.08  1022.95     8.93     0.29)  ; 5
+                                      (  617.78  1023.58     9.32     0.29)  ; 6
+                                      (  616.91  1024.53     9.67     0.29)  ; 7
+                                      (  617.49  1025.16    10.22     0.29)  ; 8
+                                      (  618.95  1025.48    10.52     0.29)  ; 9
+                                      (  620.70  1026.43    12.05     0.29)  ; 10
+                                      (  623.33  1028.01    13.90     0.29)  ; 11
+                                      (  625.37  1028.32    15.48     0.29)  ; 12
+                                      (  625.66  1027.69    17.02     0.29)  ; 13
+                                      (  626.83  1027.06    18.55     0.29)  ; 14
+                                      (  627.41  1027.69    21.48     0.29)  ; 15
+                                      (  628.58  1029.59    22.27     0.29)  ; 16
+                                      (  629.16  1031.48    23.95     0.29)  ; 17
+                                      (  631.21  1032.75    25.03     0.29)  ; 18
+                                      (  633.25  1033.38    27.08     0.29)  ; 19
+                                      (  634.71  1033.69    29.35     0.29)  ; 20
+                                      (  634.13  1034.64    33.03     0.29)  ; 21
+                                      (  635.58  1035.59    35.70     0.29)  ; 22
+                                      (  637.04  1034.96    38.88     0.29)  ; 23
+                                      (  638.21  1034.33    39.00     0.29)  ; 24
+                                      (  638.50  1035.59    39.17     0.29)  ; 25
+                                      (  637.92  1036.54    39.92     0.29)  ; 26
+                                      (  639.67  1037.80    40.07     0.29)  ; 27
+                                       Low
+                                    )  ;  End of split
+                                  )  ;  End of split
+                                )  ;  End of split
+                              )  ;  End of split
+                            )  ;  End of split
+                          )  ;  End of split
+                        |
+                          (  515.60   537.38   -86.00     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-1-1-2
+                          (  515.01   537.69   -80.57     0.88)  ; 2
+                          (  512.97   538.96   -76.80     0.88)  ; 3
+                          (  510.63   540.54   -75.32     0.88)  ; 4
+                          (  509.76   541.48   -73.97     0.88)  ; 5
+                          (  510.34   541.80   -72.22     0.88)  ; 6
+                          (  511.80   541.80   -69.97     0.58)  ; 7
+                          (  511.80   543.70   -68.55     0.58)  ; 8
+                          (  512.09   544.96   -67.17     0.58)  ; 9
+                          (  512.68   545.91   -67.17     0.58)  ; 10
+                          (  514.72   546.54   -65.52     0.58)  ; 11
+                          (  514.72   546.86   -64.75     0.58)  ; 12
+                          (  515.01   547.80   -64.75     0.58)  ; 13
+                          (  513.84   549.07   -63.40     0.58)  ; 14
+                          (  513.84   549.70   -61.75     0.58)  ; 15
+                          (  514.43   549.70   -60.50     0.58)  ; 16
+                          (  515.60   549.38   -60.50     0.58)  ; 17
+                          (  516.18   549.38   -59.17     0.58)  ; 18
+                          (  516.76   549.70   -56.97     0.58)  ; 19
+                          (  517.64   550.65   -56.97     0.58)  ; 20
+                          (  516.18   551.91   -55.27     0.58)  ; 21
+                          (  516.47   552.86   -53.10     0.58)  ; 22
+                          (  518.22   553.81   -51.17     0.58)  ; 23
+                          (  519.68   554.44   -50.25     0.58)  ; 24
+                          (  519.39   555.70   -48.90     0.58)  ; 25
+                          (  519.39   556.97   -48.67     0.58)  ; 26
+                          (  519.39   558.55   -46.77     0.58)  ; 27
+                          (  519.39   559.81   -44.95     0.58)  ; 28
+                          (  519.97   560.44   -44.07     0.58)  ; 29
+                          (  519.97   561.39   -42.35     0.58)  ; 30
+                          (  519.68   562.34   -40.32     0.58)  ; 31
+                          (  520.56   562.66   -40.05     0.58)  ; 32
+                          (  521.14   562.66   -37.02     0.58)  ; 33
+                          (  521.43   563.60   -36.65     0.58)  ; 34
+                          (  520.26   564.24   -35.02     0.58)  ; 35
+                          (  520.56   565.82   -32.65     0.58)  ; 36
+                          (  520.85   567.08   -31.55     0.58)  ; 37
+                          (  521.14   569.29   -31.55     0.58)  ; 38
+                          (  520.85   570.87   -31.07     0.58)  ; 39
+                          (  521.43   571.82   -31.07     0.58)  ; 40
+                          (  522.02   570.87   -31.05     0.58)  ; 41
+                          (  522.89   569.61   -30.75     0.58)  ; 42
+                          (  522.89   568.66   -29.10     0.58)  ; 43
+                          (  523.47   569.92   -27.27     0.58)  ; 44
+                          (  523.18   571.19   -25.35     0.58)  ; 45
+                          (  522.60   571.82   -23.02     0.58)  ; 46
+                          (  523.47   573.08   -22.77     0.58)  ; 47
+                          (  524.64   574.03   -20.15     0.58)  ; 48
+                          (  525.81   575.61   -16.67     0.58)  ; 49
+                          (  525.23   577.51   -14.40     0.58)  ; 50
+                          (  524.06   577.51   -12.57     0.58)  ; 51
+                          (  524.64   578.14   -11.95     0.58)  ; 52
+                          (  526.39   579.09   -11.95     0.58)  ; 53
+                          (  527.27   580.04    -8.93     0.58)  ; 54
+                          (  527.56   581.30    -5.92     0.58)  ; 55
+                          (  528.14   581.62    -5.65     0.58)  ; 56
+                          (  529.31   580.35    -5.53     0.58)  ; 57
+                          (  529.60   580.98    -3.62     0.58)  ; 58
+                          (  530.48   581.62    -2.40     0.58)  ; 59
+                          (  531.06   580.98    -2.25     0.58)  ; 60
+                          (  531.94   580.35    -1.88     0.58)  ; 61
+                          (  532.52   580.98    -1.17     0.58)  ; 62
+                          (  533.98   582.56     0.45     0.58)  ; 63
+                          (  535.73   583.51     2.00     0.58)  ; 64
+                          (  536.31   582.56     2.27     0.58)  ; 65
+                          (  537.19   583.20     2.30     0.58)  ; 66
+                          (  538.65   584.14     2.57     0.58)  ; 67
+                          (  540.11   583.51     2.57     0.58)  ; 68
+                          (  541.57   582.88     2.65     0.29)  ; 69
+                          (  542.73   582.25     2.65     0.29)  ; 70
+                          (  542.44   581.30     2.65     0.29)  ; 71
+                          (  541.86   580.04     2.70     0.29)  ; 72
+                          (  540.98   579.09     2.80     0.29)  ; 73
+
+                          (Cross
+                            (Color Orange)
+                            (Name "Marker 3")
+                            (  512.97   538.01   -76.80     0.88)  ; 1
+                            (  514.14   537.38   -76.80     0.88)  ; 2
+                            (  515.89   538.96   -76.80     0.88)  ; 3
+                            (  513.26   539.90   -76.80     0.88)  ; 4
+                            (  510.63   540.54   -75.32     0.88)  ; 5
+                            (  509.18   541.48   -73.97     0.88)  ; 6
+                            (  510.05   541.80   -69.97     0.58)  ; 7
+                            (  510.63   540.85   -69.97     0.58)  ; 8
+                            (  511.51   542.75   -68.55     0.58)  ; 9
+                            (  512.97   543.06   -68.55     0.58)  ; 10
+                            (  511.51   544.33   -67.17     0.58)  ; 11
+                            (  511.51   544.96   -67.17     0.58)  ; 12
+                            (  512.68   544.33   -67.17     0.58)  ; 13
+                            (  515.30   546.54   -64.75     0.58)  ; 14
+                            (  513.84   547.17   -64.75     0.58)  ; 15
+                            (  515.89   547.80   -63.40     0.58)  ; 16
+                            (  513.84   547.49   -63.40     0.58)  ; 17
+                            (  514.14   550.02   -60.50     0.58)  ; 18
+                            (  515.60   550.33   -59.17     0.58)  ; 19
+                            (  515.60   549.07   -59.17     0.58)  ; 20
+                            (  517.35   548.75   -56.97     0.58)  ; 21
+                            (  516.76   550.02   -56.97     0.58)  ; 22
+                            (  517.05   551.91   -53.10     0.58)  ; 23
+                            (  515.89   550.96   -53.10     0.58)  ; 24
+                            (  515.89   551.60   -53.10     0.58)  ; 25
+                            (  518.22   552.54   -51.15     0.58)  ; 26
+                            (  517.93   553.81   -50.25     0.58)  ; 27
+                            (  519.39   555.70   -48.67     0.58)  ; 28
+                            (  520.56   555.70   -48.67     0.58)  ; 29
+                            (  520.56   556.34   -48.67     0.58)  ; 30
+                            (  518.81   556.34   -47.05     0.58)  ; 31
+                            (  518.81   557.60   -47.05     0.58)  ; 32
+                            (  518.81   559.50   -44.07     0.58)  ; 33
+                            (  518.81   561.39   -40.05     0.58)  ; 34
+                            (  518.81   562.34   -40.05     0.58)  ; 35
+                            (  519.68   563.29   -40.05     0.58)  ; 36
+                            (  521.14   561.71   -35.02     0.58)  ; 37
+                            (  522.02   562.34   -35.02     0.58)  ; 38
+                            (  522.31   563.29   -35.02     0.58)  ; 39
+                            (  521.43   564.24   -35.02     0.58)  ; 40
+                            (  519.39   563.60   -32.50     0.58)  ; 41
+                            (  519.97   565.18   -32.50     0.58)  ; 42
+                            (  520.85   565.18   -32.50     0.58)  ; 43
+                            (  521.72   565.82   -31.55     0.58)  ; 44
+                            (  521.72   566.45   -31.55     0.58)  ; 45
+                            (  520.26   566.76   -31.55     0.58)  ; 46
+                            (  519.97   570.56   -31.07     0.58)  ; 47
+                            (  522.02   567.71   -31.07     0.58)  ; 48
+                            (  523.18   570.87   -30.75     0.58)  ; 49
+                            (  523.47   569.92   -30.75     0.58)  ; 50
+                            (  522.31   569.29   -30.75     0.58)  ; 51
+                            (  523.77   568.98   -25.35     0.58)  ; 52
+                            (  522.60   570.24   -25.35     0.58)  ; 53
+                            (  521.72   571.19   -22.77     0.58)  ; 54
+                            (  522.31   572.45   -22.77     0.58)  ; 55
+                            (  524.35   572.14   -22.77     0.58)  ; 56
+                            (  524.06   571.19   -20.15     0.58)  ; 57
+                            (  522.31   572.45   -20.15     0.58)  ; 58
+                            (  524.64   572.45   -20.15     0.58)  ; 59
+                            (  524.93   573.08   -18.80     0.58)  ; 60
+                            (  524.06   574.66   -18.80     0.58)  ; 61
+                            (  524.93   574.98   -16.67     0.58)  ; 62
+                            (  526.39   574.03   -16.67     0.58)  ; 63
+                            (  527.56   575.30   -16.67     0.58)  ; 64
+                            (  526.39   577.51   -11.95     0.58)  ; 65
+                            (  524.06   577.51   -11.95     0.58)  ; 66
+                            (  526.39   579.72    -8.93     0.58)  ; 67
+                            (  527.56   578.46    -8.93     0.58)  ; 68
+                            (  529.89   579.40    -3.60     0.58)  ; 69
+                            (  531.65   580.04    -1.17     0.58)  ; 70
+                            (  533.40   580.67     0.43     0.58)  ; 71
+                            (  534.56   581.93     2.00     0.58)  ; 72
+                            (  539.52   582.88     2.57     0.58)  ; 73
+                            (  539.52   584.78     2.57     0.58)  ; 74
+                            (  537.77   584.14     2.57     0.58)  ; 75
+                            (  541.86   582.25     2.65     0.29)  ; 76
+                          )  ;  End of markers
+                           Normal
+                        )  ;  End of split
+                      |
+                        (  513.84   505.78   -91.98     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-1-2
+                        (  515.60   504.83   -96.13     0.88)  ; 2
+                        (  517.35   505.14  -100.40     0.88)  ; 3
+                        (  518.51   506.41  -104.55     0.88)  ; 4
+                        (  520.56   507.99  -109.85     0.88)  ; 5
+                        (  523.47   509.25  -114.97     0.88)  ; 6
+                        (  526.10   508.62  -119.70     0.88)  ; 7
+                        (  527.56   507.36  -124.40     0.88)  ; 8
+                        (  528.73   507.36  -129.65     0.88)  ; 9
+                        (  529.31   508.62  -131.75     0.88)  ; 10
+                        (  529.31   509.88  -135.13     0.88)  ; 11
+                        (  529.89   511.46  -138.98     0.88)  ; 12
+                        (  529.02   513.04  -142.77     0.88)  ; 13
+                        (  527.56   513.99  -146.70     0.88)  ; 14
+                        (  526.10   513.68  -151.20     0.88)  ; 15
+                        (  522.89   514.31  -154.92     0.88)  ; 16
+                        (  519.68   514.31  -158.02     0.88)  ; 17
+                        (  517.05   514.94  -160.42     0.88)  ; 18
+                        (  515.30   515.89  -161.63     0.88)  ; 19
+                        (  514.14   516.84  -161.90     0.88)  ; 20
+                         Incomplete
+                      )  ;  End of split
+                    |
+                      (  491.40   376.66   -73.75     0.88)  ; 1, R-1-1-1-1-1-1-2-2-1-2
+                      (  490.24   377.29   -75.55     0.88)  ; 2
+                      (  487.90   377.92   -78.45     0.88)  ; 3
+                      (  486.15   378.87   -79.80     0.88)  ; 4
+                      (  485.86   380.13   -82.60     0.88)  ; 5
+                      (  486.44   382.34   -83.75     0.88)  ; 6
+                      (  485.28   383.61   -84.50     0.88)  ; 7
+                      (  483.82   385.50   -86.98     0.88)  ; 8
+                      (  482.65   386.77   -89.45     0.88)  ; 9
+                      (  481.48   389.61   -90.07     0.88)  ; 10
+                      (  479.15   392.46   -91.65     0.88)  ; 11
+                      (  477.40   395.62   -92.17     0.88)  ; 12
+                      (  477.40   397.51   -92.47     0.88)  ; 13
+                      (  476.52   399.73   -92.63     0.88)  ; 14
+                      (  474.19   402.57   -93.42     0.88)  ; 15
+                      (  472.73   406.05   -94.27     0.88)  ; 16
+                      (  471.85   409.52   -95.90     0.88)  ; 17
+                      (  470.39   414.26   -97.10     0.88)  ; 18
+                      (  469.81   419.00   -97.85     0.88)  ; 19
+                      (  469.52   423.43   -98.50     0.88)  ; 20
+                      (  468.64   426.27   -98.75     0.88)  ; 21
+                      (  467.48   429.43   -98.93     0.88)  ; 22
+                      (  467.18   432.91   -99.12     0.88)  ; 23
+                      (  467.48   437.33   -99.27     0.88)  ; 24
+                      (  466.60   442.07   -99.92     0.88)  ; 25
+                      (  466.60   447.13  -100.15     0.88)  ; 26
+                      (  465.72   450.92  -100.28     0.88)  ; 27
+                      (  464.56   452.50  -100.28     0.88)  ; 28
+                      (  462.22   454.08  -101.27     0.88)  ; 29
+                      (  461.35   455.97  -101.65     0.88)  ; 30
+                      (  461.35   459.13  -101.93     0.88)  ; 31
+                      (  460.76   460.71  -103.45     0.88)  ; 32
+                      (  460.76   463.87  -103.57     0.88)  ; 33
+                      (  460.76   467.10  -104.22     0.58)  ; 34
+                      (  460.76   471.20  -104.78     0.58)  ; 35
+                      (  461.35   474.36  -105.73     0.58)  ; 36
+                      (  461.35   478.47  -106.70     0.58)  ; 37
+                      (  461.93   483.21  -107.02     0.29)  ; 38
+                      (  461.93   486.37  -107.40     0.29)  ; 39
+                      (  462.22   489.53  -107.57     0.29)  ; 40
+                      (  461.64   492.06  -107.97     0.29)  ; 41
+                      (  461.64   493.01  -108.97     0.29)  ; 42
+                      (  461.93   495.85  -109.15     0.29)  ; 43
+                      (  462.22   498.06  -109.35     0.29)  ; 44
+                      (  462.81   501.54  -109.67     0.29)  ; 45
+                      (  462.81   504.39  -110.95     0.29)  ; 46
+                      (  461.93   507.55  -111.45     0.29)  ; 47
+                      (  460.76   511.02  -112.47     0.29)  ; 48
+                      (  460.18   512.66  -112.63     0.29)  ; 49
+                      (  460.18   515.19  -112.90     0.29)  ; 50
+                      (  460.18   518.04  -115.30     0.29)  ; 51
+                      (  460.47   521.20  -117.42     0.29)  ; 52
+                      (  459.30   524.99  -118.42     0.29)  ; 53
+                      (  458.14   528.15  -119.22     0.29)  ; 54
+                      (  458.43   531.62  -119.38     0.29)  ; 55
+                      (  457.55   535.42  -120.47     0.29)  ; 56
+                      (  456.97   538.26  -121.67     0.29)  ; 57
+                      (  454.93   541.10  -124.00     0.29)  ; 58
+                      (  455.22   543.63  -126.03     0.29)  ; 59
+                      (  454.93   545.21  -127.70     0.29)  ; 60
+                      (  454.05   546.79  -128.00     0.29)  ; 61
+                      (  454.34   549.95  -128.67     0.29)  ; 62
+                      (  454.34   553.74  -130.10     0.29)  ; 63
+                      (  454.64   559.43  -130.38     0.29)  ; 64
+                      (  454.93   563.29  -131.27     0.29)  ; 65
+                      (  455.51   566.76  -131.32     0.29)  ; 66
+                      (  456.09   571.19  -131.45     0.29)  ; 67
+                      (  456.39   576.24  -131.75     0.29)  ; 68
+                      (  456.39   581.30  -132.32     0.29)  ; 69
+                      (  455.80   586.67  -132.85     0.29)  ; 70
+                      (  454.64   591.41  -134.95     0.29)  ; 71
+                      (  453.47   596.15  -135.70     0.29)  ; 72
+                      (  453.76   599.94  -136.25     0.29)  ; 73
+                      (  453.18   604.05  -137.80     0.29)  ; 74
+                      (  451.72   606.96  -138.13     0.29)  ; 75
+                      (  449.97   610.75  -138.50     0.29)  ; 76
+                      (  449.38   613.28  -138.40     0.29)  ; 77
+                      (  450.26   614.86  -138.50     0.29)  ; 78
+                       High
+                    )  ;  End of split
+                  |
+                    (  485.79   340.08   -64.97     1.17)  ; 1, R-1-1-1-1-1-1-2-2-2
+                    (  484.92   340.71   -60.15     1.17)  ; 2
+                    (  484.33   343.55   -58.20     1.17)  ; 3
+                    (  484.63   346.08   -56.30     1.17)  ; 4
+                    (  484.92   348.29   -53.85     1.17)  ; 5
+                    (  484.92   351.14   -51.22     1.17)  ; 6
+                    (  484.33   352.40   -50.30     1.17)  ; 7
+                    (  483.17   354.93   -47.15     1.17)  ; 8
+                    (  479.96   356.19   -45.40     0.88)  ; 9
+                    (  477.04   358.09   -44.07     0.88)  ; 10
+                    (  475.58   359.35   -42.35     0.88)  ; 11
+                    (  475.29   360.93   -39.38     0.88)  ; 12
+                    (  475.58   362.51   -39.38     0.88)  ; 13
+                    (  475.58   365.36   -38.90     0.88)  ; 14
+                    (  475.87   367.88   -38.30     0.88)  ; 15
+                    (  475.58   369.46   -37.30     0.88)  ; 16
+                    (  474.41   369.78   -37.30     0.88)  ; 17
+                    (  473.24   371.04   -34.40     0.88)  ; 18
+                    (  473.24   371.99   -34.40     0.88)  ; 19
+                    (  472.95   373.89   -33.40     0.88)  ; 20
+                    (  472.66   375.15   -33.40     0.88)  ; 21
+
+                    (Cross
+                      (Color Orange)
+                      (Name "Marker 3")
+                      (  484.04   340.71   -58.20     1.17)  ; 1
+                      (  485.79   341.66   -58.20     1.17)  ; 2
+                      (  485.21   342.92   -58.20     1.17)  ; 3
+                      (  484.33   342.60   -58.20     1.17)  ; 4
+                      (  484.33   344.18   -58.20     1.17)  ; 5
+                      (  483.75   344.50   -58.20     1.17)  ; 6
+                      (  485.50   342.29   -56.30     1.17)  ; 7
+                      (  486.08   341.97   -56.30     1.17)  ; 8
+                      (  483.46   345.45   -56.30     1.17)  ; 9
+                      (  485.79   345.45   -56.30     1.17)  ; 10
+                      (  485.50   346.08   -56.30     1.17)  ; 11
+                      (  483.75   345.76   -55.47     1.17)  ; 12
+                      (  486.08   346.40   -53.88     1.17)  ; 13
+                      (  486.67   347.34   -53.88     1.17)  ; 14
+                      (  483.46   347.66   -53.88     1.17)  ; 15
+                      (  483.75   346.08   -53.88     1.17)  ; 16
+                      (  484.04   348.92   -51.22     1.17)  ; 17
+                      (  484.04   349.56   -51.22     1.17)  ; 18
+                      (  483.75   350.50   -51.22     1.17)  ; 19
+                      (  485.79   349.56   -51.22     1.17)  ; 20
+                      (  486.08   348.92   -51.22     1.17)  ; 21
+                      (  485.79   348.29   -51.22     1.17)  ; 22
+                      (  485.79   351.14   -50.30     1.17)  ; 23
+                      (  483.75   351.45   -50.30     1.17)  ; 24
+                      (  482.58   353.35   -47.15     1.17)  ; 25
+                      (  483.46   352.72   -47.15     1.17)  ; 26
+                      (  484.33   354.93   -47.15     1.17)  ; 27
+                      (  483.46   355.88   -47.15     1.17)  ; 28
+                      (  485.50   353.03   -47.15     1.17)  ; 29
+                      (  481.71   354.93   -45.40     0.88)  ; 30
+                      (  480.54   354.93   -45.40     0.88)  ; 31
+                      (  479.37   355.56   -45.40     0.88)  ; 32
+                      (  480.83   356.82   -45.40     0.88)  ; 33
+                      (  480.83   357.14   -44.07     0.88)  ; 34
+                      (  479.96   357.77   -44.07     0.88)  ; 35
+                      (  479.37   357.77   -44.07     0.88)  ; 36
+                      (  478.21   358.72   -44.07     0.88)  ; 37
+                      (  477.04   358.72   -44.07     0.88)  ; 38
+                      (  477.62   357.14   -44.07     0.88)  ; 39
+                      (  476.75   357.14   -44.07     0.88)  ; 40
+                      (  475.87   358.40   -44.07     0.88)  ; 41
+                      (  475.00   358.40   -42.35     0.88)  ; 42
+                      (  476.45   360.93   -41.10     0.88)  ; 43
+                      (  476.75   359.67   -39.38     0.88)  ; 44
+                      (  476.45   361.25   -39.38     0.88)  ; 45
+                      (  474.41   360.93   -39.38     0.88)  ; 46
+                      (  474.41   361.88   -39.38     0.88)  ; 47
+                      (  476.16   362.51   -39.38     0.88)  ; 48
+                      (  474.70   363.46   -39.38     0.88)  ; 49
+                      (  477.04   363.46   -39.38     0.88)  ; 50
+                      (  476.75   364.41   -38.90     0.88)  ; 51
+                      (  474.70   365.67   -38.30     0.88)  ; 52
+                      (  475.29   367.57   -38.30     0.88)  ; 53
+                      (  477.62   366.30   -38.30     0.88)  ; 54
+                      (  477.33   368.20   -38.30     0.88)  ; 55
+                      (  475.00   369.15   -37.30     0.88)  ; 56
+                      (  472.95   369.78   -35.00     0.88)  ; 57
+                      (  474.41   370.73   -35.00     0.88)  ; 58
+                      (  471.79   372.62   -34.40     0.88)  ; 59
+                      (  474.12   372.31   -34.40     0.88)  ; 60
+                      (  474.12   371.68   -33.40     0.88)  ; 61
+                      (  474.12   372.62   -33.40     0.88)  ; 62
+                      (  472.37   373.26   -33.40     0.88)  ; 63
+                      (  472.08   375.15   -33.40     0.88)  ; 64
+                    )  ;  End of markers
+                    (
+                      (  472.03   376.31   -33.35     0.58)  ; 1, R-1-1-1-1-1-1-2-2-2-1
+                      (  472.90   376.94   -33.35     0.58)  ; 2
+                      (  473.78   378.21   -32.17     0.58)  ; 3
+                      (  474.07   379.16   -30.80     0.58)  ; 4
+                      (  473.78   379.79   -30.80     0.58)  ; 5
+                      (  473.49   381.05   -29.67     0.58)  ; 6
+                      (  472.90   383.58   -28.60     0.58)  ; 7
+                      (  471.73   386.11   -28.60     0.58)  ; 8
+                      (  470.28   387.37   -28.40     0.58)  ; 9
+                      (  468.52   388.64   -28.23     0.58)  ; 10
+                      (  467.07   391.80   -30.17     0.88)  ; 11
+                      (  466.77   394.32   -30.17     0.88)  ; 12
+                      (  465.31   395.59   -32.22     0.58)  ; 13
+                      (  463.27   397.48   -30.02     0.58)  ; 14
+                      (  462.40   398.75   -27.15     0.58)  ; 15
+                      (  461.52   401.28   -25.57     0.58)  ; 16
+                      (  460.94   402.22   -24.70     0.58)  ; 17
+                      (  459.48   402.22   -24.65     0.58)  ; 18
+                      (  456.56   402.54   -23.60     0.58)  ; 19
+                      (  455.68   403.49   -23.60     0.58)  ; 20
+                      (  453.35   406.33   -22.85     0.58)  ; 21
+                      (  452.18   408.23   -21.88     0.58)  ; 22
+                      (  451.02   410.12   -20.17     0.58)  ; 23
+                      (  451.31   411.07   -20.17     0.58)  ; 24
+                      (  452.18   412.65   -18.67     0.58)  ; 25
+                      (  451.02   415.50   -18.38     0.58)  ; 26
+                      (  450.14   419.29   -17.47     0.58)  ; 27
+                      (  449.27   420.55   -17.00     0.58)  ; 28
+                      (  446.93   421.82   -16.90     0.58)  ; 29
+                      (  446.35   423.08   -16.75     0.58)  ; 30
+                      (  446.93   424.98   -16.67     0.58)  ; 31
+                      (  447.22   426.56   -16.05     0.58)  ; 32
+                      (  446.93   428.77   -16.02     0.58)  ; 33
+                      (  446.64   430.98   -15.65     0.58)  ; 34
+                      (  446.35   434.46   -14.57     0.58)  ; 35
+                      (  445.47   435.40   -13.80     0.58)  ; 36
+                      (  444.89   436.67   -12.20     0.58)  ; 37
+                      (  445.47   437.62   -12.20     0.58)  ; 38
+                      (  445.95   438.86   -12.10     0.29)  ; 39
+                      (  446.54   440.13   -12.10     0.29)  ; 40
+                      (  446.25   440.76   -12.10     0.29)  ; 41
+                      (  444.79   440.76   -11.07     0.29)  ; 42
+                      (  443.91   441.08    -9.90     0.58)  ; 43
+                      (  443.04   442.34    -9.90     0.58)  ; 44
+                      (  443.04   445.18    -9.30     0.58)  ; 45
+                      (  442.16   448.34    -8.75     0.58)  ; 46
+                      (  441.28   449.61    -8.75     0.58)  ; 47
+                      (  439.83   450.87    -8.23     0.58)  ; 48
+                      (  437.20   451.82    -7.38     0.58)  ; 49
+                      (  437.20   452.77    -5.72     0.58)  ; 50
+                      (  437.78   454.03    -4.05     0.58)  ; 51
+                      (  438.37   455.93    -4.05     0.58)  ; 52
+                      (  436.32   456.56    -1.80     0.29)  ; 53
+                      (  435.74   457.19    -1.13     0.29)  ; 54
+                      (  435.74   458.77    -1.13     0.29)  ; 55
+                      (  435.16   460.35     0.37     0.29)  ; 56
+                      (  433.99   461.30     2.55     0.29)  ; 57
+                      (  432.53   462.25     3.13     0.29)  ; 58
+                      (  432.82   463.51     3.22     0.29)  ; 59
+                      (  433.70   464.78     3.27     0.29)  ; 60
+                      (  433.70   466.67     4.22     0.29)  ; 61
+                      (  432.53   467.94     4.78     0.29)  ; 62
+                      (  432.24   469.20     5.20     0.29)  ; 63
+                      (  433.41   470.15     6.10     0.58)  ; 64
+                      (  433.41   471.41     6.90     0.58)  ; 65
+                      (  433.11   473.37     8.93     0.58)  ; 66
+                      (  430.78   475.90    11.55     0.58)  ; 67
+                      (  429.32   476.22    14.02     0.29)  ; 68
+                      (  429.90   477.80    14.10     0.29)  ; 69
+                      (  431.65   479.38    15.20     0.29)  ; 70
+                      (  430.78   481.90    16.38     0.58)  ; 71
+                      (  430.49   484.75    17.77     0.58)  ; 72
+                      (  429.32   486.33    18.67     0.58)  ; 73
+                      (  429.61   487.59    18.70     0.58)  ; 74
+                      (  429.61   489.49    19.17     0.58)  ; 75
+                      (  428.74   492.02    19.27     0.58)  ; 76
+                      (  430.20   492.96    19.97     0.58)  ; 77
+                      (  431.07   494.86    21.02     0.58)  ; 78
+                      (  430.78   495.81    21.13     0.58)  ; 79
+                      (  429.61   496.76    22.17     0.29)  ; 80
+                      (  428.74   498.65    22.50     0.29)  ; 81
+                      (  430.20   499.28    22.85     0.29)  ; 82
+                      (  430.20   501.18    24.02     0.29)  ; 83
+                      (  428.74   503.39    25.00     0.29)  ; 84
+                      (  429.03   504.02    26.28     0.29)  ; 85
+                      (  427.57   504.34    26.52     0.29)  ; 86
+                      (  426.69   505.29    26.88     0.29)  ; 87
+                      (  427.57   506.55    28.42     0.29)  ; 88
+                      (  427.86   508.45    29.95     0.58)  ; 89
+                      (  429.03   510.03    31.00     0.58)  ; 90
+                      (  429.61   511.61    32.02     0.29)  ; 91
+                      (  430.78   514.45    32.83     0.29)  ; 92
+
+                      (Cross
+                        (Color Orange)
+                        (Name "Marker 3")
+                        (  471.44   375.05   -33.35     0.58)  ; 1
+                        (  472.61   376.00   -33.35     0.58)  ; 2
+                        (  471.73   376.63   -33.35     0.58)  ; 3
+                        (  471.73   377.26   -33.35     0.58)  ; 4
+                        (  472.61   378.21   -33.35     0.58)  ; 5
+                        (  473.19   377.89   -30.80     0.58)  ; 6
+                        (  475.24   377.58   -30.80     0.58)  ; 7
+                        (  475.24   379.47   -30.80     0.58)  ; 8
+                        (  474.94   380.10   -29.67     0.58)  ; 9
+                        (  472.90   380.10   -29.67     0.58)  ; 10
+                        (  472.90   380.74   -29.67     0.58)  ; 11
+                        (  472.90   381.68   -28.60     0.58)  ; 12
+                        (  473.78   382.63   -28.60     0.58)  ; 13
+                        (  473.78   382.95   -28.60     0.58)  ; 14
+                        (  473.78   385.16   -28.60     0.58)  ; 15
+                        (  473.19   385.48   -28.60     0.58)  ; 16
+                        (  472.32   386.74   -28.60     0.58)  ; 17
+                        (  471.15   385.48   -28.60     0.58)  ; 18
+                        (  471.73   384.21   -28.60     0.58)  ; 19
+                        (  472.03   383.58   -28.60     0.58)  ; 20
+                        (  472.32   382.63   -28.60     0.58)  ; 21
+                        (  470.57   387.69   -28.23     0.58)  ; 22
+                        (  468.82   388.00   -28.23     0.58)  ; 23
+                        (  470.28   388.64   -28.23     0.58)  ; 24
+                        (  469.40   389.58   -28.23     0.58)  ; 25
+                        (  467.36   389.58   -30.17     0.88)  ; 26
+                        (  468.52   390.53   -30.17     0.88)  ; 27
+                        (  467.36   391.16   -30.17     0.88)  ; 28
+                        (  468.52   392.74   -30.17     0.88)  ; 29
+                        (  466.48   391.80   -30.17     0.88)  ; 30
+                        (  467.65   393.69   -30.17     0.88)  ; 31
+                        (  467.65   394.64   -30.17     0.88)  ; 32
+                        (  466.48   392.43   -31.95     0.88)  ; 33
+                        (  465.90   394.32   -31.95     0.88)  ; 34
+                        (  466.19   396.22   -32.22     0.58)  ; 35
+                        (  465.02   394.96   -32.22     0.58)  ; 36
+                        (  464.15   395.90   -30.02     0.58)  ; 37
+                        (  464.73   396.85   -30.02     0.58)  ; 38
+                        (  462.98   396.85   -27.15     0.58)  ; 39
+                        (  463.56   398.75   -27.15     0.58)  ; 40
+                        (  462.40   398.75   -27.15     0.58)  ; 41
+                        (  461.52   399.38   -25.57     0.58)  ; 42
+                        (  462.40   400.64   -25.57     0.58)  ; 43
+                        (  461.81   402.54   -24.70     0.58)  ; 44
+                        (  459.48   402.54   -24.70     0.58)  ; 45
+                        (  458.89   401.59   -23.60     0.58)  ; 46
+                        (  458.02   401.59   -23.60     0.58)  ; 47
+                        (  457.14   401.91   -23.60     0.58)  ; 48
+                        (  456.27   403.17   -23.60     0.58)  ; 49
+                        (  455.39   403.80   -23.60     0.58)  ; 50
+                        (  456.85   404.44   -23.60     0.58)  ; 51
+                        (  457.44   403.17   -23.60     0.58)  ; 52
+                        (  454.23   404.12   -22.85     0.58)  ; 53
+                        (  453.93   404.75   -22.85     0.58)  ; 54
+                        (  452.77   406.02   -22.85     0.58)  ; 55
+                        (  455.68   405.38   -22.85     0.58)  ; 56
+                        (  454.23   406.33   -22.85     0.58)  ; 57
+                        (  450.43   409.49   -20.17     0.58)  ; 58
+                        (  450.43   410.44   -20.17     0.58)  ; 59
+                        (  452.18   410.44   -20.17     0.58)  ; 60
+                        (  452.48   409.81   -20.17     0.58)  ; 61
+                        (  452.18   410.44   -18.67     0.58)  ; 62
+                        (  451.31   411.39   -18.67     0.58)  ; 63
+                        (  453.06   412.97   -18.67     0.58)  ; 64
+                        (  451.60   412.65   -18.67     0.58)  ; 65
+                        (  450.43   415.81   -17.47     0.58)  ; 66
+                        (  452.18   415.81   -17.47     0.58)  ; 67
+                        (  448.97   418.02   -17.47     0.58)  ; 68
+                        (  449.56   419.29   -17.47     0.58)  ; 69
+                        (  448.97   419.92   -16.90     0.58)  ; 70
+                        (  450.14   420.55   -16.90     0.58)  ; 71
+                        (  447.51   420.55   -16.90     0.58)  ; 72
+                        (  446.93   420.87   -16.90     0.58)  ; 73
+                        (  448.68   422.13   -16.90     0.58)  ; 74
+                        (  446.35   422.76   -16.67     0.58)  ; 75
+                        (  447.51   424.66   -16.67     0.58)  ; 76
+                        (  446.35   425.29   -16.67     0.58)  ; 77
+                        (  446.35   424.98   -16.02     0.58)  ; 78
+                        (  448.10   425.29   -16.02     0.58)  ; 79
+                        (  448.10   427.50   -16.02     0.58)  ; 80
+                        (  446.93   428.77   -15.65     0.58)  ; 81
+                        (  446.35   429.72   -15.65     0.58)  ; 82
+                        (  445.47   432.24   -14.57     0.58)  ; 83
+                        (  447.51   432.56   -14.57     0.58)  ; 84
+                        (  447.51   434.14   -14.57     0.58)  ; 85
+                        (  446.64   434.14   -14.57     0.58)  ; 86
+                        (  446.35   435.72   -13.80     0.58)  ; 87
+                        (  444.30   436.67   -12.20     0.58)  ; 88
+                        (  444.60   435.40   -12.20     0.58)  ; 89
+                        (  444.79   438.55   -12.10     0.29)  ; 90
+                        (  445.66   439.18   -12.10     0.29)  ; 91
+                        (  446.54   438.23   -12.10     0.29)  ; 92
+                        (  446.25   441.08   -11.07     0.29)  ; 93
+                        (  443.62   440.44    -9.30     0.58)  ; 94
+                        (  443.33   441.08    -9.30     0.58)  ; 95
+                        (  444.20   442.34    -9.30     0.58)  ; 96
+                        (  443.33   442.97    -9.30     0.58)  ; 97
+                        (  442.45   444.24    -9.30     0.58)  ; 98
+                        (  441.58   446.76    -8.75     0.58)  ; 99
+                        (  443.62   445.82    -8.75     0.58)  ; 100
+                        (  442.16   449.29    -8.75     0.58)  ; 101
+                        (  437.49   451.19    -7.38     0.58)  ; 102
+                        (  438.66   450.87    -7.38     0.58)  ; 103
+                        (  438.37   452.77    -5.72     0.58)  ; 104
+                        (  436.32   453.40    -4.05     0.58)  ; 105
+                        (  438.07   453.40    -4.05     0.58)  ; 106
+                        (  438.95   454.66    -4.05     0.58)  ; 107
+                        (  437.20   455.61    -1.80     0.29)  ; 108
+                        (  435.16   456.56    -1.13     0.29)  ; 109
+                        (  434.86   457.51    -1.13     0.29)  ; 110
+                        (  436.32   458.77    -0.60     0.29)  ; 111
+                        (  435.16   459.09     0.37     0.29)  ; 112
+                        (  436.03   460.67     1.58     0.29)  ; 113
+                        (  434.57   460.04     2.55     0.29)  ; 114
+                        (  435.45   461.30     2.55     0.29)  ; 115
+                        (  433.41   463.20     3.27     0.29)  ; 116
+                        (  433.99   462.88     3.27     0.29)  ; 117
+                        (  432.24   467.30     5.20     0.29)  ; 118
+                        (  433.41   467.94     5.20     0.29)  ; 119
+                        (  431.95   470.15     6.90     0.58)  ; 120
+                        (  434.57   470.15     6.90     0.58)  ; 121
+                        (  432.24   472.74    11.55     0.58)  ; 122
+                        (  434.28   472.74    11.55     0.58)  ; 123
+                        (  433.70   474.00    11.55     0.58)  ; 124
+                        (  432.24   476.85    12.70     0.58)  ; 125
+                        (  432.53   475.58    12.70     0.58)  ; 126
+                        (  430.20   474.95    12.70     0.58)  ; 127
+                        (  429.32   477.80    15.20     0.29)  ; 128
+                        (  431.36   477.48    15.20     0.29)  ; 129
+                        (  429.90   480.64    17.05     0.58)  ; 130
+                        (  431.95   483.17    17.77     0.58)  ; 131
+                        (  432.53   479.69    17.77     0.58)  ; 132
+                        (  428.44   485.70    18.70     0.58)  ; 133
+                        (  429.03   485.38    18.70     0.58)  ; 134
+                        (  430.49   486.33    18.70     0.58)  ; 135
+                        (  428.44   489.80    19.27     0.58)  ; 136
+                        (  429.90   492.02    19.97     0.58)  ; 137
+                        (  431.95   493.91    21.13     0.58)  ; 138
+                        (  431.95   495.49    21.13     0.58)  ; 139
+                        (  429.32   499.60    24.55     0.29)  ; 140
+                        (  432.24   500.23    24.55     0.29)  ; 141
+                        (  429.32   502.13    25.00     0.29)  ; 142
+                        (  426.11   507.50    29.95     0.29)  ; 143
+                        (  427.28   509.08    31.00     0.58)  ; 144
+                        (  429.03   507.82    31.00     0.58)  ; 145
+                      )  ;  End of markers
+                       Low
+                    |
+                      (  473.78   376.31   -33.10     0.88)  ; 1, R-1-1-1-1-1-1-2-2-2-2
+                      (  475.82   377.26   -31.02     0.58)  ; 2
+                      (  477.28   378.21   -30.55     0.58)  ; 3
+                      (  477.86   379.16   -29.80     0.58)  ; 4
+                      (  478.15   381.05   -28.45     0.58)  ; 5
+                      (  476.99   382.32   -26.05     0.58)  ; 6
+                      (  476.99   383.26   -24.42     0.58)  ; 7
+                      (  477.86   384.53   -24.38     0.58)  ; 8
+                      (  479.32   385.16   -24.38     0.58)  ; 9
+                      (  480.20   386.11   -23.50     0.58)  ; 10
+                      (  480.78   386.74   -22.70     0.58)  ; 11
+                      (  480.20   388.00   -20.70     0.58)  ; 12
+                      (  480.78   388.95   -20.45     0.58)  ; 13
+                      (  483.41   389.90   -17.02     0.29)  ; 14
+                      (  485.45   390.85   -16.50     0.29)  ; 15
+                      (  486.91   392.11   -14.70     0.29)  ; 16
+                      (  487.78   392.43   -13.30     0.29)  ; 17
+                      (  490.41   393.06    -9.45     0.29)  ; 18
+                      (  491.87   392.11    -7.57     0.29)  ; 19
+                      (  493.33   389.58    -7.25     0.29)  ; 20
+                      (  495.08   389.27    -7.13     0.29)  ; 21
+                      (  496.25   389.90    -7.00     0.29)  ; 22
+                      (  495.37   390.53    -4.68     0.29)  ; 23
+                      (  495.96   392.11    -3.82     0.29)  ; 24
+                      (  496.83   391.80    -3.02     0.29)  ; 25
+                      (  498.58   390.85    -1.73     0.29)  ; 26
+                      (  501.50   388.64    -1.22     0.29)  ; 27
+                      (  502.38   386.42    -0.17     0.29)  ; 28
+                      (  504.71   385.16    -0.17     0.29)  ; 29
+                      (  505.59   384.53     0.43     0.29)  ; 30
+                      (  507.34   383.26     0.85     0.29)  ; 31
+                      (  508.80   382.00     1.00     0.29)  ; 32
+                      (  512.01   382.00    -0.82     0.29)  ; 33
+                      (  512.88   381.68    -1.60     0.29)  ; 34
+                      (  513.17   381.05    -4.85     0.29)  ; 35
+                      (  512.59   380.42    -8.38     0.29)  ; 36
+                      (  513.46   380.42    -9.17     0.29)  ; 37
+                      (  514.92   382.00   -10.85     0.29)  ; 38
+                      (  516.38   382.95   -11.20     0.29)  ; 39
+                      (  517.26   382.32   -11.20     0.29)  ; 40
+                      (  517.84   381.68   -11.45     0.29)  ; 41
+
+                      (Cross
+                        (Color Orange)
+                        (Name "Marker 3")
+                        (  472.32   375.36   -33.10     0.88)  ; 1
+                        (  474.36   375.05   -33.10     0.88)  ; 2
+                        (  473.78   376.63   -33.10     0.88)  ; 3
+                        (  474.65   376.94   -31.02     0.58)  ; 4
+                        (  474.94   377.26   -31.02     0.58)  ; 5
+                        (  475.82   377.58   -31.02     0.58)  ; 6
+                        (  475.82   377.26   -30.55     0.58)  ; 7
+                        (  477.28   376.63   -30.55     0.58)  ; 8
+                        (  477.86   376.63   -30.55     0.58)  ; 9
+                        (  476.40   378.52   -30.55     0.58)  ; 10
+                        (  478.45   378.21   -29.80     0.58)  ; 11
+                        (  479.03   378.84   -29.80     0.58)  ; 12
+                        (  478.74   379.79   -28.45     0.58)  ; 13
+                        (  476.99   379.79   -28.45     0.58)  ; 14
+                        (  478.45   380.74   -27.83     0.58)  ; 15
+                        (  478.15   382.32   -26.05     0.58)  ; 16
+                        (  476.70   384.21   -24.38     0.58)  ; 17
+                        (  478.15   384.84   -24.38     0.58)  ; 18
+                        (  479.03   385.48   -24.38     0.58)  ; 19
+                        (  480.20   384.53   -24.38     0.58)  ; 20
+                        (  479.91   384.53   -24.38     0.58)  ; 21
+                        (  479.03   384.21   -24.38     0.58)  ; 22
+                        (  481.36   385.48   -22.67     0.58)  ; 23
+                        (  481.66   387.06   -22.30     0.58)  ; 24
+                        (  479.32   387.37   -20.45     0.58)  ; 25
+                        (  481.07   388.00   -20.45     0.58)  ; 26
+                        (  479.32   388.64   -19.10     0.58)  ; 27
+                        (  480.20   389.27   -17.02     0.29)  ; 28
+                        (  481.66   388.32   -17.02     0.29)  ; 29
+                        (  483.12   390.53   -16.50     0.29)  ; 30
+                        (  485.16   392.11   -14.70     0.29)  ; 31
+                        (  485.45   390.22   -14.70     0.29)  ; 32
+                        (  486.03   390.53   -14.70     0.29)  ; 33
+                        (  486.62   392.74   -13.30     0.29)  ; 34
+                        (  487.20   393.06   -13.30     0.29)  ; 35
+                        (  488.37   391.80   -13.30     0.29)  ; 36
+                        (  486.33   391.16   -13.30     0.29)  ; 37
+                        (  488.08   393.06    -9.45     0.29)  ; 38
+                        (  489.83   392.43    -9.45     0.29)  ; 39
+                        (  489.24   392.43    -7.57     0.29)  ; 40
+                        (  489.83   392.11    -7.57     0.29)  ; 41
+                        (  490.99   393.06    -7.57     0.29)  ; 42
+                        (  491.29   391.80    -7.25     0.29)  ; 43
+                        (  492.16   390.85    -7.25     0.29)  ; 44
+                        (  489.83   393.69    -7.25     0.29)  ; 45
+                        (  490.70   394.32    -7.25     0.29)  ; 46
+                        (  495.08   388.64    -6.20     0.29)  ; 47
+                        (  496.25   388.95    -6.20     0.29)  ; 48
+                        (  494.79   391.16    -3.02     0.29)  ; 49
+                        (  495.37   393.06    -3.02     0.29)  ; 50
+                        (  496.54   391.48    -3.02     0.29)  ; 51
+                        (  497.12   390.85    -3.02     0.29)  ; 52
+                        (  495.96   390.85    -1.73     0.29)  ; 53
+                        (  496.25   390.85    -1.73     0.29)  ; 54
+                        (  498.29   390.85    -1.73     0.29)  ; 55
+                        (  498.29   391.80    -1.73     0.29)  ; 56
+                        (  497.41   392.11    -1.73     0.29)  ; 57
+                        (  495.66   392.74    -1.73     0.29)  ; 58
+                        (  500.04   388.64    -1.22     0.29)  ; 59
+                        (  499.46   389.90    -1.22     0.29)  ; 60
+                        (  500.92   389.27    -1.22     0.29)  ; 61
+                        (  501.50   388.95    -1.22     0.29)  ; 62
+                        (  500.92   388.00    -1.22     0.29)  ; 63
+                        (  500.92   386.74    -0.17     0.29)  ; 64
+                        (  501.50   386.42    -0.17     0.29)  ; 65
+                        (  502.96   387.69    -0.17     0.29)  ; 66
+                        (  503.54   386.11    -0.17     0.29)  ; 67
+                        (  504.42   385.16    -0.17     0.29)  ; 68
+                        (  504.71   385.79    -0.17     0.29)  ; 69
+                        (  507.34   381.68     1.00     0.29)  ; 70
+                        (  507.34   383.58     1.00     0.29)  ; 71
+                        (  509.09   381.37     1.47     0.29)  ; 72
+                        (  509.09   382.95     1.47     0.29)  ; 73
+                        (  510.55   382.32     1.47     0.29)  ; 74
+                        (  512.01   382.32    -1.60     0.29)  ; 75
+                        (  512.01   380.74    -8.38     0.29)  ; 76
+                        (  512.01   379.79    -9.17     0.29)  ; 77
+                        (  514.05   380.42   -10.85     0.29)  ; 78
+                        (  514.92   381.37   -10.85     0.29)  ; 79
+                        (  517.26   382.95   -11.45     0.29)  ; 80
+                        (  518.43   381.68   -11.45     0.29)  ; 81
+                      )  ;  End of markers
+                       Normal
+                    )  ;  End of split
+                  )  ;  End of split
+                )  ;  End of split
+              )  ;  End of split
+            |
+              (  468.11   202.70   -41.47     0.58)  ; 1, R-1-1-1-1-1-2
+              (  466.65   203.01   -45.20     0.58)  ; 2
+              (  466.07   204.28   -46.55     0.58)  ; 3
+              (  466.65   204.28   -47.80     0.58)  ; 4
+              (  467.82   203.96   -49.80     0.58)  ; 5
+              (  469.86   203.33   -52.55     0.58)  ; 6
+              (  472.19   202.06   -54.25     0.58)  ; 7
+              (  472.78   201.12   -56.95     0.58)  ; 8
+              (  473.07   200.17   -58.15     0.58)  ; 9
+              (  473.65   198.59   -62.10     0.58)  ; 10
+              (  474.82   196.69   -64.57     0.88)  ; 11
+              (  476.57   195.43   -65.75     0.88)  ; 12
+              (  479.20   194.48   -67.35     0.88)  ; 13
+              (  482.12   192.90   -68.45     0.88)  ; 14
+              (  484.74   191.00   -70.65     0.88)  ; 15
+              (  488.54   189.42   -73.20     0.88)  ; 16
+              (  490.87   187.21   -75.82     0.88)  ; 17
+              (  493.79   186.26   -78.10     0.88)  ; 18
+              (  496.12   186.58   -79.00     0.88)  ; 19
+              (  498.46   187.53   -82.63     0.88)  ; 20
+              (  502.25   187.53   -85.07     0.88)  ; 21
+              (  505.46   187.21   -88.23     0.88)  ; 22
+              (  508.67   187.53   -91.72     0.88)  ; 23
+              (
+                (  509.85   188.99   -94.88     0.58)  ; 1, R-1-1-1-1-1-2-1
+                (  512.19   190.26   -95.40     0.58)  ; 2
+                (  514.23   191.20  -100.28     0.58)  ; 3
+                (  515.98   192.47  -103.55     0.58)  ; 4
+                (  517.44   194.36  -108.25     0.58)  ; 5
+                (  518.32   195.94  -109.35     0.58)  ; 6
+                (  519.19   198.47  -115.20     0.58)  ; 7
+                (  520.65   199.10  -119.47     0.58)  ; 8
+                (  522.98   200.05  -122.17     0.58)  ; 9
+                (  525.61   201.00  -126.00     0.58)  ; 10
+                (  529.40   201.63  -130.57     0.58)  ; 11
+                (  533.78   202.58  -131.65     0.58)  ; 12
+                (  535.82   203.53  -135.13     0.58)  ; 13
+                (  539.62   205.42  -136.13     0.58)  ; 14
+                (  543.12   206.37  -137.85     0.58)  ; 15
+                (  546.91   208.27  -139.55     0.58)  ; 16
+                (  549.54   209.53  -141.80     0.58)  ; 17
+                (  552.75   211.43  -143.90     0.58)  ; 18
+                (  556.25   213.96  -147.63     0.58)  ; 19
+                (  559.75   215.54  -149.88     0.58)  ; 20
+                (  562.67   217.12  -152.92     0.58)  ; 21
+                (  565.88   218.70  -156.48     0.58)  ; 22
+                (  569.67   219.33  -158.35     0.58)  ; 23
+                (  569.97   219.96  -158.95     0.58)  ; 24
+                (  570.55   221.54  -158.95     0.58)  ; 25
+                (  569.67   223.12  -159.52     0.29)  ; 26
+                (  569.97   225.65  -159.97     0.29)  ; 27
+                (  570.26   227.86  -162.38     0.29)  ; 28
+                 Incomplete
+              |
+                (  509.27   186.15   -94.92     0.58)  ; 1, R-1-1-1-1-1-2-2
+                (  508.98   183.62   -97.95     0.58)  ; 2
+                (  508.10   180.78  -102.60     0.58)  ; 3
+                (  507.52   178.88  -104.48     0.58)  ; 4
+                (  506.93   176.35  -109.10     0.58)  ; 5
+                (  505.77   174.46  -109.92     0.58)  ; 6
+                (  503.43   171.93  -113.72     0.58)  ; 7
+                (  500.51   170.98  -119.47     0.58)  ; 8
+                (  499.06   170.66  -127.47     0.58)  ; 9
+                (  498.76   170.35  -133.02     0.58)  ; 10
+                (  498.18   168.14  -134.17     0.58)  ; 11
+                (  496.43   166.87  -137.90     0.58)  ; 12
+                (  497.01   166.56  -143.70     0.58)  ; 13
+                (  498.18   164.66  -150.88     0.58)  ; 14
+                (  499.06   164.66  -155.27     0.58)  ; 15
+                (  500.81   165.29  -155.45     0.58)  ; 16
+                (  499.93   164.98  -158.67     0.58)  ; 17
+                (  499.64   164.03  -158.77     0.58)  ; 18
+                (  500.51   163.71  -160.07     0.58)  ; 19
+                (  502.27   164.66  -160.67     0.58)  ; 20
+                (  503.72   163.40  -161.82     0.58)  ; 21
+                 Incomplete
+              )  ;  End of split
+            )  ;  End of split
+          |
+            (  469.00   187.41   -35.67     1.17)  ; 1, R-1-1-1-1-2
+            (  471.92   187.41   -35.77     1.17)  ; 2
+            (  473.96   187.73   -36.00     0.88)  ; 3
+            (  475.71   187.73   -32.97     0.88)  ; 4
+            (  476.59   188.36   -31.07     0.88)  ; 5
+            (  477.46   188.04   -29.42     0.88)  ; 6
+            (  478.92   187.10   -26.32     0.88)  ; 7
+            (  480.38   186.15   -25.13     0.88)  ; 8
+            (  481.84   186.46   -23.20     0.88)  ; 9
+            (  484.46   187.41   -20.80     0.88)  ; 10
+            (  485.63   188.04   -19.15     0.88)  ; 11
+            (  487.38   189.31   -17.85     0.88)  ; 12
+
+            (Cross
+              (Color Orange)
+              (Name "Marker 3")
+              (  475.42   186.15   -32.97     0.88)  ; 1
+              (  476.59   186.15   -32.97     0.88)  ; 2
+              (  473.96   188.04   -32.97     0.88)  ; 3
+              (  477.75   189.31   -29.42     0.88)  ; 4
+              (  477.75   186.46   -26.32     0.88)  ; 5
+              (  479.21   186.15   -26.32     0.88)  ; 6
+              (  479.50   188.04   -25.13     0.88)  ; 7
+              (  479.21   185.20   -23.20     0.88)  ; 8
+              (  480.67   185.20   -23.20     0.88)  ; 9
+              (  481.25   185.20   -23.20     0.88)  ; 10
+              (  482.42   184.88   -23.20     0.88)  ; 11
+              (  483.88   185.83   -23.20     0.88)  ; 12
+              (  484.46   186.15   -23.20     0.88)  ; 13
+              (  480.38   187.41   -23.20     0.88)  ; 14
+              (  485.63   186.78   -20.80     0.88)  ; 15
+              (  484.76   189.31   -20.80     0.88)  ; 16
+              (  484.17   188.99   -20.80     0.88)  ; 17
+              (  482.71   187.73   -20.80     0.88)  ; 18
+              (  481.84   187.73   -20.80     0.88)  ; 19
+              (  485.34   188.99   -17.85     0.88)  ; 20
+              (  485.92   189.62   -17.85     0.88)  ; 21
+              (  488.26   187.41   -17.85     0.88)  ; 22
+              (  486.80   187.41   -17.85     0.88)  ; 23
+            )  ;  End of markers
+            (
+              (  488.26   191.84   -16.90     0.88)  ; 1, R-1-1-1-1-2-1
+              (  489.13   192.78   -16.90     0.88)  ; 2
+              (  489.43   194.36   -16.67     0.88)  ; 3
+              (  491.18   195.31   -16.38     0.88)  ; 4
+              (  494.09   197.84   -16.30     0.88)  ; 5
+              (  494.68   199.10   -15.77     0.88)  ; 6
+              (  495.85   201.32   -15.43     0.88)  ; 7
+              (  495.55   202.58   -15.17     0.88)  ; 8
+              (  495.55   204.79   -14.38     0.88)  ; 9
+              (  496.43   206.37   -12.88     0.88)  ; 10
+              (  496.72   207.00   -12.88     0.88)  ; 11
+              (  498.18   207.95   -12.88     0.88)  ; 12
+              (  500.51   209.53   -11.45     0.58)  ; 13
+              (  501.97   210.16    -8.40     0.58)  ; 14
+              (  503.43   209.22    -6.90     0.58)  ; 15
+              (  504.02   208.58    -4.85     0.58)  ; 16
+              (  504.60   207.64    -0.40     0.58)  ; 17
+              (  505.77   207.64     2.27     0.58)  ; 18
+              (  505.48   208.90     2.47     0.58)  ; 19
+              (  506.93   209.85     4.38     0.58)  ; 20
+              (  509.56   210.48     6.57     0.58)  ; 21
+              (  511.60   211.43     7.75     0.58)  ; 22
+              (  513.06   213.32     9.38     0.58)  ; 23
+              (  513.35   214.59    10.28     0.58)  ; 24
+              (  512.19   214.59    12.05     0.58)  ; 25
+              (  512.19   214.27    12.05     0.58)  ; 26
+              (  512.48   213.01    12.05     0.58)  ; 27
+              (  514.23   212.38    13.20     0.58)  ; 28
+              (  515.98   212.69    13.27     0.58)  ; 29
+              (  517.73   213.01    14.43     0.58)  ; 30
+              (  519.77   213.64    16.02     0.58)  ; 31
+              (  520.36   213.96    17.80     0.58)  ; 32
+              (  522.11   215.22    19.50     0.58)  ; 33
+              (  525.61   215.22    22.27     0.58)  ; 34
+              (  527.65   215.85    23.82     0.58)  ; 35
+              (  528.53   215.22    23.82     0.58)  ; 36
+              (  529.40   215.22    25.35     0.58)  ; 37
+              (  530.57   214.59    26.30     0.58)  ; 38
+              (  530.86   215.85    26.30     0.58)  ; 39
+              (  531.45   218.38    28.55     0.88)  ; 40
+              (  532.03   220.59    29.72     0.88)  ; 41
+              (  531.74   222.80    29.72     0.88)  ; 42
+              (  530.86   224.70    30.97     0.88)  ; 43
+
+              (Cross
+                (Color Orange)
+                (Name "Marker 3")
+                (  486.51   189.94   -16.90     0.88)  ; 1
+                (  487.09   191.84   -16.90     0.88)  ; 2
+                (  489.13   190.89   -16.90     0.88)  ; 3
+                (  488.84   193.73   -16.90     0.88)  ; 4
+                (  488.84   195.00   -16.90     0.88)  ; 5
+                (  490.30   193.10   -16.90     0.88)  ; 6
+                (  490.88   193.73   -16.90     0.88)  ; 7
+                (  491.47   194.05   -16.30     0.88)  ; 8
+                (  491.18   195.63   -16.30     0.88)  ; 9
+                (  492.93   195.94   -16.30     0.88)  ; 10
+                (  492.93   195.31   -16.30     0.88)  ; 11
+                (  496.72   200.68   -15.43     0.88)  ; 12
+                (  496.72   200.05   -15.43     0.88)  ; 13
+                (  496.43   198.16   -15.43     0.88)  ; 14
+                (  493.80   198.79   -15.43     0.88)  ; 15
+                (  493.80   199.74   -15.43     0.88)  ; 16
+                (  494.39   201.32   -15.43     0.88)  ; 17
+                (  497.01   202.26   -15.43     0.88)  ; 18
+                (  494.39   203.21   -14.38     0.88)  ; 19
+                (  494.97   204.16   -14.38     0.88)  ; 20
+                (  496.43   203.53   -14.38     0.88)  ; 21
+                (  495.55   206.69   -12.88     0.88)  ; 22
+                (  495.85   207.00   -12.88     0.88)  ; 23
+                (  496.72   205.11   -12.88     0.88)  ; 24
+                (  497.30   205.74   -12.88     0.88)  ; 25
+                (  498.18   206.69   -12.88     0.88)  ; 26
+                (  497.30   207.95   -12.88     0.88)  ; 27
+                (  497.60   208.90   -12.88     0.88)  ; 28
+                (  498.18   208.58   -11.45     0.58)  ; 29
+                (  499.64   210.48   -10.60     0.58)  ; 30
+                (  500.81   208.27   -10.60     0.58)  ; 31
+                (  501.39   211.11    -8.40     0.58)  ; 32
+                (  501.97   211.43    -8.40     0.58)  ; 33
+                (  501.97   209.22    -8.40     0.58)  ; 34
+                (  502.27   211.11    -8.40     0.58)  ; 35
+                (  503.14   207.95    -4.85     0.58)  ; 36
+                (  502.56   208.58    -4.85     0.58)  ; 37
+                (  491.47   196.89   -23.17     0.58)  ; 38
+                (  492.64   197.84   -23.17     0.58)  ; 39
+                (  494.09   196.58   -23.17     0.58)  ; 40
+                (  504.60   206.69     4.38     0.58)  ; 41
+                (  504.60   209.22     6.15     0.58)  ; 42
+                (  506.06   208.58     6.15     0.58)  ; 43
+                (  506.06   210.80     6.57     0.58)  ; 44
+                (  507.81   209.22     6.57     0.58)  ; 45
+                (  507.52   211.43     6.57     0.58)  ; 46
+                (  508.69   212.38     6.57     0.58)  ; 47
+                (  511.31   209.85     7.75     0.58)  ; 48
+                (  512.19   211.43     7.75     0.58)  ; 49
+                (  513.65   214.90    10.28     0.58)  ; 50
+                (  512.48   214.90    12.05     0.58)  ; 51
+                (  513.65   211.43    13.27     0.58)  ; 52
+                (  515.11   211.11    13.27     0.58)  ; 53
+                (  515.40   213.32    14.43     0.58)  ; 54
+                (  516.27   214.27    14.43     0.58)  ; 55
+                (  517.44   214.27    14.43     0.58)  ; 56
+                (  518.02   212.06    14.43     0.58)  ; 57
+                (  516.27   211.43    14.43     0.58)  ; 58
+                (  514.81   213.64    16.02     0.58)  ; 59
+                (  518.32   214.27    17.80     0.58)  ; 60
+                (  519.77   214.90    19.50     0.58)  ; 61
+                (  522.40   214.27    21.18     0.58)  ; 62
+                (  523.28   214.27    22.27     0.58)  ; 63
+                (  523.57   216.48    22.27     0.58)  ; 64
+                (  525.03   216.48    22.27     0.58)  ; 65
+                (  525.61   214.59    22.27     0.58)  ; 66
+                (  525.61   214.59    23.82     0.58)  ; 67
+                (  526.49   214.59    23.82     0.58)  ; 68
+                (  528.24   214.59    23.82     0.58)  ; 69
+                (  528.24   216.80    23.82     0.58)  ; 70
+                (  527.36   216.80    23.82     0.58)  ; 71
+                (  528.24   214.59    26.30     0.58)  ; 72
+                (  529.70   213.96    26.30     0.58)  ; 73
+                (  532.32   215.85    26.30     0.58)  ; 74
+                (  529.11   218.06    28.55     0.88)  ; 75
+                (  532.61   217.43    28.55     0.88)  ; 76
+                (  533.49   221.86    29.72     0.88)  ; 77
+                (  530.86   222.17    29.72     0.88)  ; 78
+                (  531.74   225.96    30.97     0.88)  ; 79
+              )  ;  End of markers
+               Low
+            |
+              (  490.59   189.31   -17.92     0.58)  ; 1, R-1-1-1-1-2-2
+              (  492.64   189.31   -19.00     0.58)  ; 2
+              (  494.68   189.94   -20.95     0.58)  ; 3
+              (  497.30   190.89   -23.90     0.58)  ; 4
+              (  499.93   191.52   -25.42     0.58)  ; 5
+              (  501.10   191.52   -25.30     0.58)  ; 6
+              (  502.85   190.57   -23.13     0.58)  ; 7
+              (  505.48   189.31   -19.67     0.58)  ; 8
+              (  505.77   188.68   -18.33     0.58)  ; 9
+              (  507.81   188.04   -18.33     0.58)  ; 10
+              (  509.27   188.04   -17.08     0.58)  ; 11
+              (  511.02   188.99   -16.95     0.58)  ; 12
+              (  513.06   189.94   -15.73     0.58)  ; 13
+              (  516.27   191.20   -15.60     0.58)  ; 14
+              (  519.19   191.84   -15.60     0.58)  ; 15
+              (  520.65   191.52   -18.33     0.58)  ; 16
+              (  522.11   191.52   -21.65     0.88)  ; 17
+              (  524.15   190.89   -24.97     0.88)  ; 18
+              (  525.90   190.57   -27.77     0.88)  ; 19
+              (  527.36   190.89   -27.77     0.88)  ; 20
+              (  529.11   191.84   -27.77     0.88)  ; 21
+              (  529.70   192.78   -29.50     0.88)  ; 22
+              (  529.99   194.05   -29.50     0.88)  ; 23
+              (  530.57   195.31   -31.58     0.88)  ; 24
+              (  531.74   195.31   -33.80     0.88)  ; 25
+              (  533.49   194.36   -35.30     0.88)  ; 26
+              (  535.24   193.10   -36.97     0.58)  ; 27
+              (  536.41   193.10   -37.58     0.58)  ; 28
+              (  539.33   193.42   -37.58     0.58)  ; 29
+              (  541.08   193.10   -38.25     0.58)  ; 30
+              (  544.00   192.47   -38.53     0.58)  ; 31
+              (  547.21   192.47   -38.53     0.58)  ; 32
+              (  550.71   193.42   -40.05     0.58)  ; 33
+              (  552.46   193.73   -41.17     0.58)  ; 34
+              (  555.38   193.73   -41.42     0.58)  ; 35
+              (  557.42   193.10   -41.42     0.58)  ; 36
+              (  559.46   193.10   -43.05     0.58)  ; 37
+              (  561.80   194.05   -43.05     0.58)  ; 38
+              (  564.71   194.05   -44.72     0.58)  ; 39
+              (  568.22   192.78   -47.50     0.58)  ; 40
+              (  570.81   190.89   -47.63     0.58)  ; 41
+              (  571.98   188.99   -45.88     0.58)  ; 42
+              (  573.44   188.36   -45.30     0.58)  ; 43
+              (  575.19   187.73   -43.33     0.58)  ; 44
+              (  578.11   186.46   -41.85     0.58)  ; 45
+              (  580.73   185.20   -41.75     0.58)  ; 46
+              (  583.07   183.62   -40.52     0.58)  ; 47
+              (  584.24   182.04   -40.52     0.58)  ; 48
+              (  587.15   179.83   -40.32     0.58)  ; 49
+              (  590.66   178.56   -40.13     0.58)  ; 50
+              (  591.53   177.30   -40.27     0.58)  ; 51
+              (  593.87   176.35   -43.25     0.58)  ; 52
+              (  597.08   176.98   -44.90     0.58)  ; 53
+              (  599.12   177.62   -46.73     0.58)  ; 54
+              (  602.04   176.67   -49.30     0.58)  ; 55
+              (  604.66   175.09   -51.47     0.58)  ; 56
+              (  608.17   172.56   -52.88     0.58)  ; 57
+              (  610.79   170.98   -54.52     0.58)  ; 58
+              (  613.42   170.66   -55.52     0.58)  ; 59
+              (  614.29   169.72   -55.52     0.58)  ; 60
+              (  615.46   168.45   -57.20     0.58)  ; 61
+              (  617.21   167.50   -57.20     0.58)  ; 62
+              (  619.55   166.24   -57.90     0.58)  ; 63
+              (  621.59   164.34   -58.47     0.58)  ; 64
+              (  625.09   161.82   -59.45     0.58)  ; 65
+              (  629.18   160.55   -59.47     0.58)  ; 66
+              (  633.55   158.66   -59.83     0.58)  ; 67
+              (  636.47   157.39   -60.40     0.58)  ; 68
+              (  639.39   156.44   -60.40     0.58)  ; 69
+              (  641.72   156.13   -61.17     0.58)  ; 70
+              (  644.64   154.23   -61.95     0.58)  ; 71
+              (  647.27   151.70   -61.95     0.58)  ; 72
+              (  648.11   149.49   -62.25     0.58)  ; 73
+              (  648.99   148.23   -61.97     0.58)  ; 74
+              (  649.87   148.54   -61.97     0.58)  ; 75
+              (  651.91   148.23   -60.63     0.29)  ; 76
+              (  653.37   146.96   -60.63     0.29)  ; 77
+              (  654.83   145.07   -59.85     0.29)  ; 78
+              (  656.58   144.75   -59.85     0.29)  ; 79
+              (  658.33   144.44   -59.85     0.29)  ; 80
+              (  659.20   143.49   -59.85     0.29)  ; 81
+              (  662.71   141.91   -59.60     0.29)  ; 82
+              (  665.04   140.33   -59.47     0.29)  ; 83
+              (  667.67   138.12   -56.63     0.29)  ; 84
+              (  668.54   136.85   -54.97     0.29)  ; 85
+              (  669.42   134.01   -54.97     0.29)  ; 86
+              (  670.29   132.43   -53.97     0.29)  ; 87
+              (  673.21   129.90   -53.97     0.29)  ; 88
+              (  673.50   128.00   -54.72     0.29)  ; 89
+              (  675.25   125.48   -55.90     0.29)  ; 90
+              (  676.71   122.95   -57.05     0.29)  ; 91
+              (  678.17   122.00   -59.15     0.29)  ; 92
+              (  680.21   120.74   -60.38     0.29)  ; 93
+              (  683.13   118.84   -62.02     0.29)  ; 94
+              (  684.30   118.21   -63.30     0.29)  ; 95
+              (  685.47   115.36   -63.30     0.29)  ; 96
+              (  686.34   114.73   -63.30     0.29)  ; 97
+
+              (Cross
+                (Color Orange)
+                (Name "Marker 3")
+                (  487.97   188.36   -17.92     0.58)  ; 1
+                (  490.30   188.36   -17.92     0.58)  ; 2
+                (  490.59   189.94   -17.92     0.58)  ; 3
+                (  491.76   188.36   -20.95     0.58)  ; 4
+                (  492.64   188.36   -20.95     0.58)  ; 5
+                (  493.51   188.04   -20.95     0.58)  ; 6
+                (  493.51   190.26   -20.95     0.58)  ; 7
+                (  494.09   188.68   -20.95     0.58)  ; 8
+                (  495.55   188.99   -23.90     0.58)  ; 9
+                (  497.30   189.62   -23.90     0.58)  ; 10
+                (  494.97   190.89   -23.90     0.58)  ; 11
+                (  496.43   191.84   -23.90     0.58)  ; 12
+                (  497.89   192.47   -23.90     0.58)  ; 13
+                (  497.89   190.26   -25.42     0.58)  ; 14
+                (  498.76   191.84   -25.42     0.58)  ; 15
+                (  499.64   192.47   -26.82     0.58)  ; 16
+                (  499.93   191.20   -26.82     0.58)  ; 17
+                (  500.51   190.89   -26.82     0.58)  ; 18
+                (  499.93   189.94   -26.82     0.58)  ; 19
+                (  500.22   192.78   -26.82     0.58)  ; 20
+                (  500.81   189.94   -23.13     0.58)  ; 21
+                (  500.81   192.47   -23.13     0.58)  ; 22
+                (  502.56   192.15   -23.13     0.58)  ; 23
+                (  501.97   190.26   -23.13     0.58)  ; 24
+                (  504.02   189.31   -21.10     0.58)  ; 25
+                (  504.31   190.89   -19.67     0.58)  ; 26
+                (  505.48   190.89   -19.67     0.58)  ; 27
+                (  505.77   188.36   -18.33     0.58)  ; 28
+                (  504.89   188.04   -18.33     0.58)  ; 29
+                (  507.23   187.10   -18.33     0.58)  ; 30
+                (  507.81   187.10   -18.33     0.58)  ; 31
+                (  509.85   187.10   -18.33     0.58)  ; 32
+                (  507.23   188.99   -18.33     0.58)  ; 33
+                (  508.10   188.99   -18.33     0.58)  ; 34
+                (  508.98   187.10   -16.95     0.58)  ; 35
+                (  510.14   187.73   -16.95     0.58)  ; 36
+                (  511.02   188.04   -16.95     0.58)  ; 37
+                (  512.19   188.68   -15.60     0.58)  ; 38
+                (  513.65   188.99   -15.60     0.58)  ; 39
+                (  515.40   189.94   -15.60     0.58)  ; 40
+                (  515.40   190.26   -15.60     0.58)  ; 41
+                (  517.73   190.57   -15.60     0.58)  ; 42
+                (  519.19   190.26   -15.60     0.58)  ; 43
+                (  520.07   190.26   -15.60     0.58)  ; 44
+                (  520.07   193.10   -15.60     0.58)  ; 45
+                (  519.19   193.10   -15.60     0.58)  ; 46
+                (  517.73   193.10   -15.60     0.58)  ; 47
+                (  516.27   192.47   -15.60     0.58)  ; 48
+                (  515.69   192.15   -15.60     0.58)  ; 49
+                (  513.94   191.20   -15.60     0.58)  ; 50
+                (  512.48   190.57   -15.60     0.58)  ; 51
+                (  511.02   189.94   -15.60     0.58)  ; 52
+                (  520.65   190.57   -15.60     0.58)  ; 53
+                (  520.65   192.47   -15.60     0.58)  ; 54
+                (  521.82   192.47   -26.32     0.88)  ; 55
+                (  522.69   192.47   -26.32     0.88)  ; 56
+                (  525.03   191.52   -26.32     0.88)  ; 57
+                (  523.57   189.94   -26.32     0.88)  ; 58
+                (  522.40   189.94   -26.32     0.88)  ; 59
+                (  525.32   189.62   -26.32     0.88)  ; 60
+                (  525.61   189.62   -26.32     0.88)  ; 61
+                (  527.07   189.62   -26.32     0.88)  ; 62
+                (  526.78   191.52   -26.32     0.88)  ; 63
+                (  525.90   191.52   -26.32     0.88)  ; 64
+                (  527.07   191.52   -27.77     0.88)  ; 65
+                (  528.82   190.57   -27.77     0.88)  ; 66
+                (  529.40   191.20   -27.77     0.88)  ; 67
+                (  528.82   192.47   -27.77     0.88)  ; 68
+                (  528.53   192.78   -29.50     0.88)  ; 69
+                (  529.11   193.42   -29.50     0.88)  ; 70
+                (  531.16   193.10   -29.50     0.88)  ; 71
+                (  530.57   192.15   -29.50     0.88)  ; 72
+                (  530.57   196.58   -31.58     0.88)  ; 73
+                (  530.28   196.58   -31.58     0.88)  ; 74
+                (  532.91   193.73   -36.97     0.58)  ; 75
+                (  532.61   196.26   -36.97     0.58)  ; 76
+                (  533.78   192.78   -36.97     0.58)  ; 77
+                (  535.24   195.00   -36.97     0.58)  ; 78
+                (  535.24   191.52   -37.58     0.58)  ; 79
+                (  538.16   194.36   -37.58     0.58)  ; 80
+                (  538.45   192.15   -37.58     0.58)  ; 81
+                (  539.62   194.05   -38.25     0.58)  ; 82
+                (  540.49   194.05   -38.25     0.58)  ; 83
+                (  540.49   191.84   -38.25     0.58)  ; 84
+                (  541.37   194.36   -38.53     0.58)  ; 85
+                (  543.41   191.84   -38.53     0.58)  ; 86
+                (  544.58   192.47   -38.53     0.58)  ; 87
+                (  546.91   191.52   -38.53     0.58)  ; 88
+                (  547.50   193.73   -38.53     0.58)  ; 89
+                (  548.08   192.47   -38.53     0.58)  ; 90
+                (  549.54   192.47   -38.53     0.58)  ; 91
+                (  549.83   193.10   -38.53     0.58)  ; 92
+                (  550.42   193.10   -38.53     0.58)  ; 93
+                (  548.96   194.05   -40.05     0.58)  ; 94
+                (  550.71   192.78   -40.05     0.58)  ; 95
+                (  551.29   195.31   -41.17     0.58)  ; 96
+                (  552.75   195.00   -41.17     0.58)  ; 97
+                (  553.92   193.10   -41.42     0.58)  ; 98
+                (  554.21   195.31   -41.42     0.58)  ; 99
+                (  555.38   195.00   -41.42     0.58)  ; 100
+                (  557.71   194.36   -41.42     0.58)  ; 101
+                (  555.08   192.78   -41.42     0.58)  ; 102
+                (  555.96   192.47   -41.42     0.58)  ; 103
+                (  557.13   192.15   -41.42     0.58)  ; 104
+                (  558.29   192.15   -41.42     0.58)  ; 105
+                (  558.00   194.05   -43.05     0.58)  ; 106
+                (  558.59   192.15   -43.05     0.58)  ; 107
+                (  560.34   194.68   -43.05     0.58)  ; 108
+                (  561.80   195.00   -43.05     0.58)  ; 109
+                (  562.38   193.42   -44.72     0.58)  ; 110
+                (  564.42   193.42   -44.72     0.58)  ; 111
+                (  564.13   195.00   -44.72     0.58)  ; 112
+                (  565.59   193.73   -47.50     0.58)  ; 113
+                (  567.63   192.47   -47.50     0.58)  ; 114
+                (  568.51   194.68   -47.50     0.58)  ; 115
+                (  569.94   192.78   -47.63     0.58)  ; 116
+                (  570.81   192.15   -47.63     0.58)  ; 117
+                (  571.40   191.52   -47.63     0.58)  ; 118
+                (  570.23   190.26   -47.63     0.58)  ; 119
+                (  571.10   189.31   -45.30     0.58)  ; 120
+                (  571.98   188.04   -45.30     0.58)  ; 121
+                (  573.44   187.41   -45.30     0.58)  ; 122
+                (  573.15   189.31   -45.30     0.58)  ; 123
+                (  575.48   188.99   -43.30     0.58)  ; 124
+                (  575.19   187.10   -43.30     0.58)  ; 125
+                (  576.07   188.04   -43.30     0.58)  ; 126
+                (  577.82   186.15   -41.75     0.58)  ; 127
+                (  577.82   187.41   -41.75     0.58)  ; 128
+                (  579.57   186.78   -41.75     0.58)  ; 129
+                (  581.03   186.46   -41.75     0.58)  ; 130
+                (  580.15   184.57   -41.75     0.58)  ; 131
+                (  578.98   184.88   -41.75     0.58)  ; 132
+                (  578.69   185.52   -41.75     0.58)  ; 133
+                (  581.90   183.62   -40.52     0.58)  ; 134
+                (  582.19   184.88   -40.52     0.58)  ; 135
+                (  583.65   184.25   -40.52     0.58)  ; 136
+                (  583.36   181.41   -40.13     0.58)  ; 137
+                (  584.53   180.78   -40.13     0.58)  ; 138
+                (  585.40   182.04   -40.13     0.58)  ; 139
+                (  586.28   181.09   -40.13     0.58)  ; 140
+                (  588.32   180.46   -40.13     0.58)  ; 141
+                (  588.03   178.25   -40.13     0.58)  ; 142
+                (  589.78   179.51   -40.13     0.58)  ; 143
+                (  589.78   177.93   -40.13     0.58)  ; 144
+                (  590.95   177.30   -43.25     0.58)  ; 145
+                (  592.41   178.25   -43.25     0.58)  ; 146
+                (  592.12   176.04   -43.25     0.58)  ; 147
+                (  593.87   175.72   -43.25     0.58)  ; 148
+                (  594.45   177.30   -43.25     0.58)  ; 149
+                (  594.45   176.04   -44.90     0.58)  ; 150
+                (  594.16   177.62   -44.90     0.58)  ; 151
+                (  595.91   177.30   -44.90     0.58)  ; 152
+                (  596.49   177.30   -44.90     0.58)  ; 153
+                (  597.66   177.62   -44.90     0.58)  ; 154
+                (  598.54   177.93   -46.73     0.58)  ; 155
+                (  599.41   177.93   -46.73     0.58)  ; 156
+                (  600.58   177.62   -46.73     0.58)  ; 157
+                (  599.99   176.67   -46.73     0.58)  ; 158
+                (  601.45   177.93   -49.30     0.58)  ; 159
+                (  601.75   175.72   -49.30     0.58)  ; 160
+                (  602.91   177.30   -51.47     0.58)  ; 161
+                (  604.08   176.35   -51.47     0.58)  ; 162
+                (  606.41   172.56   -52.88     0.58)  ; 163
+                (  607.87   173.19   -52.88     0.58)  ; 164
+                (  605.54   173.51   -52.88     0.58)  ; 165
+                (  604.37   174.14   -52.88     0.58)  ; 166
+                (  605.25   175.09   -48.70     0.58)  ; 167
+                (  609.62   170.66   -54.52     0.58)  ; 168
+                (  610.79   171.30   -54.52     0.58)  ; 169
+                (  611.38   170.35   -54.52     0.58)  ; 170
+                (  613.42   171.61   -55.52     0.58)  ; 171
+                (  615.46   169.72   -57.20     0.58)  ; 172
+                (  614.29   169.08   -57.20     0.58)  ; 173
+                (  616.34   166.87   -57.90     0.58)  ; 174
+                (  615.17   167.50   -57.90     0.58)  ; 175
+                (  617.21   168.45   -57.90     0.58)  ; 176
+                (  618.38   167.82   -57.90     0.58)  ; 177
+                (  618.09   165.92   -57.90     0.58)  ; 178
+                (  624.22   164.03   -59.45     0.58)  ; 179
+                (  623.63   162.76   -59.45     0.58)  ; 180
+                (  618.67   167.82   -58.25     0.58)  ; 181
+                (  619.84   164.98   -58.13     0.58)  ; 182
+                (  621.01   165.61   -58.13     0.58)  ; 183
+                (  625.09   160.55   -59.47     0.58)  ; 184
+                (  627.72   160.55   -59.47     0.58)  ; 185
+                (  628.59   161.82   -59.47     0.58)  ; 186
+                (  627.13   162.45   -59.47     0.58)  ; 187
+                (  630.05   158.66   -59.83     0.58)  ; 188
+                (  631.51   160.87   -59.83     0.58)  ; 189
+                (  629.47   160.55   -59.83     0.58)  ; 190
+                (  632.39   158.97   -59.83     0.58)  ; 191
+                (  635.01   158.34   -60.40     0.58)  ; 192
+                (  634.14   157.71   -60.40     0.58)  ; 193
+                (  636.47   157.08   -60.40     0.58)  ; 194
+                (  635.60   158.02   -60.40     0.58)  ; 195
+                (  636.47   157.39   -60.40     0.58)  ; 196
+                (  637.05   158.02   -60.40     0.58)  ; 197
+                (  638.81   157.08   -60.40     0.58)  ; 198
+                (  637.93   156.13   -60.40     0.58)  ; 199
+                (  637.35   156.44   -60.40     0.58)  ; 200
+                (  639.10   157.39   -61.17     0.58)  ; 201
+                (  640.85   157.08   -61.17     0.58)  ; 202
+                (  642.60   154.55   -61.95     0.58)  ; 203
+                (  643.77   153.60   -61.95     0.58)  ; 204
+                (  641.43   156.76   -61.77     0.58)  ; 205
+                (  646.10   152.65   -62.47     0.58)  ; 206
+                (  646.98   153.28   -62.47     0.58)  ; 207
+                (  645.23   155.18   -62.47     0.58)  ; 208
+                (  646.39   154.23   -62.47     0.58)  ; 209
+                (  647.24   151.39   -61.97     0.58)  ; 210
+                (  645.78   152.02   -61.97     0.58)  ; 211
+                (  646.36   149.81   -61.97     0.58)  ; 212
+                (  647.53   149.81   -61.97     0.58)  ; 213
+                (  648.70   149.81   -61.97     0.58)  ; 214
+                (  648.99   148.23   -61.97     0.58)  ; 215
+                (  650.16   149.18   -60.63     0.29)  ; 216
+                (  651.62   149.18   -60.63     0.29)  ; 217
+                (  651.91   147.91   -60.63     0.29)  ; 218
+                (  652.78   147.60   -60.63     0.29)  ; 219
+                (  653.08   147.28   -59.85     0.29)  ; 220
+                (  654.83   146.65   -59.85     0.29)  ; 221
+                (  654.53   145.70   -59.85     0.29)  ; 222
+                (  655.99   145.07   -59.85     0.29)  ; 223
+                (  655.12   144.75   -59.85     0.29)  ; 224
+                (  657.16   144.12   -59.85     0.29)  ; 225
+                (  658.62   144.75   -59.85     0.29)  ; 226
+                (  659.20   143.49   -59.47     0.29)  ; 227
+                (  660.37   142.54   -59.47     0.29)  ; 228
+                (  662.12   141.28   -59.47     0.29)  ; 229
+                (  664.46   140.01   -59.47     0.29)  ; 230
+                (  663.58   141.91   -59.47     0.29)  ; 231
+                (  665.62   140.64   -59.47     0.29)  ; 232
+                (  668.54   139.38   -54.97     0.29)  ; 233
+                (  667.37   137.17   -54.97     0.29)  ; 234
+                (  668.25   135.59   -53.97     0.29)  ; 235
+                (  670.88   133.69   -53.97     0.29)  ; 236
+                (  671.75   132.74   -53.97     0.29)  ; 237
+                (  672.92   131.16   -53.97     0.29)  ; 238
+                (  674.09   130.22   -53.97     0.29)  ; 239
+                (  670.58   131.48   -53.97     0.29)  ; 240
+                (  670.00   132.11   -53.97     0.29)  ; 241
+                (  674.09   128.64   -55.90     0.29)  ; 242
+                (  673.79   127.06   -55.90     0.29)  ; 243
+                (  675.25   126.11   -55.90     0.29)  ; 244
+                (  674.67   125.79   -57.05     0.29)  ; 245
+                (  675.55   125.79   -57.05     0.29)  ; 246
+                (  676.71   124.84   -57.05     0.29)  ; 247
+                (  675.84   123.90   -57.05     0.29)  ; 248
+                (  676.71   122.32   -57.05     0.29)  ; 249
+                (  677.30   121.68   -59.15     0.29)  ; 250
+                (  678.76   120.74   -60.38     0.29)  ; 251
+                (  680.21   120.42   -62.02     0.29)  ; 252
+                (  680.51   119.79   -62.02     0.29)  ; 253
+                (  681.09   120.74   -62.02     0.29)  ; 254
+                (  682.55   120.10   -62.65     0.29)  ; 255
+                (  684.01   118.84   -63.30     0.29)  ; 256
+                (  686.05   116.31   -63.30     0.29)  ; 257
+                (  682.55   119.79   -63.30     0.29)  ; 258
+              )  ;  End of markers
+               Normal
+            )  ;  End of split
+          )  ;  End of split
+        |
+          (  466.69   170.03   -30.40     1.17)  ; 1, R-1-1-1-2
+          (  468.74   169.40   -31.72     1.17)  ; 2
+          (  471.07   168.45   -34.95     0.88)  ; 3
+          (  472.82   168.45   -35.70     0.88)  ; 4
+          (  474.57   168.45   -36.38     0.88)  ; 5
+          (  475.74   167.82   -36.72     0.88)  ; 6
+          (  476.61   165.92   -37.70     0.88)  ; 7
+          (  477.78   164.34   -38.15     0.58)  ; 8
+          (  480.70   163.40   -38.92     0.88)  ; 9
+          (  483.03   163.40   -40.75     0.88)  ; 10
+          (  485.08   163.40   -42.20     0.88)  ; 11
+          (  486.54   163.71   -43.67     0.88)  ; 12
+          (  489.16   164.03   -44.90     0.88)  ; 13
+          (  491.21   163.40   -46.20     0.88)  ; 14
+          (  493.25   163.40   -46.85     0.88)  ; 15
+          (  494.42   162.13   -46.93     0.88)  ; 16
+          (  495.58   160.55   -47.15     0.88)  ; 17
+          (  497.63   159.29   -47.70     0.88)  ; 18
+          (  499.67   158.66   -50.52     0.88)  ; 19
+          (  500.84   157.71   -54.38     0.88)  ; 20
+          (  501.42   156.76   -58.67     0.88)  ; 21
+          (  502.88   156.76   -59.17     0.88)  ; 22
+          (  506.09   156.76   -60.15     0.88)  ; 23
+          (  508.42   156.44   -61.57     0.88)  ; 24
+          (  510.76   155.18   -61.72     0.88)  ; 25
+          (  512.51   154.86   -61.90     0.88)  ; 26
+          (  514.84   155.18   -62.57     0.88)  ; 27
+          (  518.05   154.55   -63.25     0.88)  ; 28
+          (  518.38   155.00   -63.25     0.88)  ; 29
+          (
+            (  520.40   154.52   -63.00     0.58)  ; 1, R-1-1-1-2-1
+            (  523.61   154.52   -60.72     0.58)  ; 2
+            (  526.82   155.15   -59.32     0.58)  ; 3
+            (  529.15   156.73   -57.97     0.58)  ; 4
+            (  530.03   157.36   -57.33     0.58)  ; 5
+            (  531.19   157.99   -57.28     0.58)  ; 6
+            (  532.36   157.68   -56.88     0.58)  ; 7
+            (  533.82   157.04   -55.97     0.58)  ; 8
+            (  536.15   158.31   -54.58     0.58)  ; 9
+            (  537.61   158.62   -51.88     0.58)  ; 10
+            (  538.78   158.94   -50.57     0.58)  ; 11
+            (  540.53   158.31   -49.65     0.58)  ; 12
+            (  543.16   158.94   -48.07     0.58)  ; 13
+            (  544.03   158.62   -47.60     0.58)  ; 14
+            (  545.78   157.36   -47.25     0.58)  ; 15
+            (  547.54   156.41   -46.95     0.58)  ; 16
+            (  549.58   157.04   -46.47     0.58)  ; 17
+            (  553.08   157.99   -46.30     0.58)  ; 18
+            (  556.29   159.26   -45.90     0.58)  ; 19
+            (  558.04   159.57   -45.77     0.58)  ; 20
+            (  558.92   159.26   -45.77     0.58)  ; 21
+            (  559.79   158.31   -45.48     0.58)  ; 22
+            (  561.83   156.73   -44.38     0.58)  ; 23
+            (  563.59   156.73   -43.02     0.29)  ; 24
+            (  566.21   156.10   -41.93     0.29)  ; 25
+            (  569.42   155.78   -40.40     0.29)  ; 26
+            (  572.63   156.10   -38.40     0.29)  ; 27
+            (  575.26   156.73   -35.88     0.29)  ; 28
+            (  576.72   157.36   -35.30     0.29)  ; 29
+            (  577.88   157.36   -35.00     0.29)  ; 30
+            (  578.18   156.73   -34.72     0.29)  ; 31
+            (  578.76   155.46   -34.15     0.29)  ; 32
+            (  579.34   153.88   -33.42     0.29)  ; 33
+            (  580.51   152.62   -32.30     0.29)  ; 34
+            (  582.26   151.36   -31.42     0.29)  ; 35
+            (  584.60   151.04   -31.25     0.29)  ; 36
+            (  586.93   151.36   -30.90     0.29)  ; 37
+            (  588.39   150.72   -30.50     0.29)  ; 38
+            (  590.43   149.46   -30.35     0.29)  ; 39
+            (  592.47   148.20   -29.77     0.29)  ; 40
+            (  593.93   147.25   -29.15     0.29)  ; 41
+            (  594.81   145.04   -28.95     0.29)  ; 42
+            (  596.27   144.72   -27.97     0.29)  ; 43
+            (  598.02   144.72   -26.67     0.29)  ; 44
+            (  598.31   144.09   -26.42     0.29)  ; 45
+            (  599.48   142.82   -24.97     0.29)  ; 46
+            (  601.23   142.51   -23.37     0.29)  ; 47
+            (  602.10   142.82   -23.23     0.29)  ; 48
+            (  603.27   142.19   -22.60     0.29)  ; 49
+            (  605.90   141.24   -22.38     0.29)  ; 50
+            (  608.23   141.56   -21.90     0.29)  ; 51
+            (  610.57   141.56   -20.90     0.29)  ; 52
+            (  611.73   140.61   -20.87     0.29)  ; 53
+            (  613.19   140.30   -20.83     0.29)  ; 54
+            (  613.19   140.61   -20.70     0.29)  ; 55
+            (  613.49   141.56   -20.23     0.29)  ; 56
+            (  613.78   143.77   -19.60     0.29)  ; 57
+            (  614.36   144.40   -20.47     0.29)  ; 58
+            (  615.82   145.35   -23.85     0.29)  ; 59
+            (  616.11   145.04   -26.42     0.29)  ; 60
+            (  616.70   144.72   -29.40     0.29)  ; 61
+            (  617.57   143.46   -31.52     0.29)  ; 62
+            (  617.86   141.88   -33.92     0.29)  ; 63
+            (  619.61   140.30   -36.67     0.29)  ; 64
+            (  621.36   139.66   -38.85     0.29)  ; 65
+            (  621.95   139.03   -40.52     0.29)  ; 66
+            (  622.24   137.77   -41.22     0.29)  ; 67
+            (  621.36   136.19   -42.13     0.29)  ; 68
+             Normal
+          |
+            (  519.55   155.32   -63.78     0.58)  ; 1, R-1-1-1-2-2
+            (  521.01   155.00   -67.17     0.58)  ; 2
+            (  522.47   154.06   -69.02     0.58)  ; 3
+            (  525.10   152.79   -71.92     0.58)  ; 4
+            (  528.01   151.53   -74.53     0.58)  ; 5
+            (  532.10   150.58   -77.97     0.58)  ; 6
+            (  533.85   149.63   -79.38     0.58)  ; 7
+            (  535.89   149.63   -79.72     0.58)  ; 8
+            (  537.94   149.32   -82.68     0.58)  ; 9
+            (  540.85   148.37   -84.05     0.58)  ; 10
+            (  542.90   146.47   -85.63     0.58)  ; 11
+            (  546.40   144.26   -88.72     0.58)  ; 12
+            (  549.32   143.31   -91.20     0.58)  ; 13
+            (  550.78   141.73   -93.97     0.58)  ; 14
+            (  553.69   139.52   -97.42     0.58)  ; 15
+            (  555.44   137.62   -99.57     0.58)  ; 16
+            (  559.53   134.15  -102.68     0.58)  ; 17
+            (  562.45   131.30  -104.92     0.58)  ; 18
+            (  565.37   127.51  -107.45     0.58)  ; 19
+            (  567.41   125.30  -110.22     0.58)  ; 20
+            (  570.33   123.72  -113.55     0.58)  ; 21
+            (  572.08   121.19  -116.38     0.58)  ; 22
+            (  573.54   118.98  -117.22     0.58)  ; 23
+            (  575.87   116.14  -118.30     0.58)  ; 24
+            (  578.21   113.92  -120.68     0.58)  ; 25
+            (  581.12   111.08  -122.00     0.58)  ; 26
+            (  582.85   108.55  -122.38     0.58)  ; 27
+            (  585.47   105.71  -125.30     0.58)  ; 28
+            (  588.97   102.86  -129.05     0.58)  ; 29
+            (  592.18   100.97  -131.72     0.58)  ; 30
+            (  596.27    99.07  -135.02     0.58)  ; 31
+            (  600.35    98.12  -138.13     0.58)  ; 32
+            (  605.02    96.54  -141.22     0.58)  ; 33
+            (  608.53    95.91  -145.07     0.58)  ; 34
+            (  611.44    95.91  -151.30     0.58)  ; 35
+            (  613.19    97.18  -155.35     0.58)  ; 36
+            (  614.36    99.39  -157.92     0.58)  ; 37
+            (  616.40    99.70  -161.57     0.58)  ; 38
+             Incomplete
+          )  ;  End of split
+        )  ;  End of split
+      |
+        (  460.63   168.74   -28.45     1.46)  ; 1, R-1-1-2
+        (  459.17   168.74   -35.75     1.17)  ; 2
+        (  456.26   169.37   -37.47     0.88)  ; 3
+        (  454.80   170.32   -39.40     0.88)  ; 4
+        (  453.92   172.53   -41.22     1.17)  ; 5
+        (  453.05   174.11   -44.78     1.17)  ; 6
+        (  451.88   174.11   -48.15     1.17)  ; 7
+        (
+          (  452.17   172.21   -49.83     0.88)  ; 1, R-1-1-2-1
+          (  452.75   171.26   -54.27     0.88)  ; 2
+          (  454.21   170.95   -54.58     0.88)  ; 3
+          (  454.50   171.90   -54.85     0.88)  ; 4
+          (  453.63   172.21   -56.52     0.88)  ; 5
+          (  451.88   171.58   -57.17     0.88)  ; 6
+          (  452.75   170.00   -60.30     0.88)  ; 7
+          (  453.63   168.74   -62.92     0.88)  ; 8
+          (  453.34   167.47   -64.78     0.88)  ; 9
+          (  452.17   167.16   -67.17     0.88)  ; 10
+          (  450.13   167.16   -68.88     0.88)  ; 11
+          (  449.25   165.89   -69.78     0.88)  ; 12
+          (  449.84   164.63   -73.00     0.88)  ; 13
+          (  450.42   163.68   -74.20     0.88)  ; 14
+          (  450.42   162.42   -77.63     0.88)  ; 15
+          (  449.54   161.47   -78.65     0.88)  ; 16
+          (  448.08   161.47   -81.45     0.88)  ; 17
+          (
+            (  448.67   158.94   -85.18     0.88)  ; 1, R-1-1-2-1-1
+            (  448.67   155.78   -86.20     0.88)  ; 2
+            (  448.67   152.30   -86.70     0.88)  ; 3
+            (  448.08   149.46   -86.77     0.88)  ; 4
+            (  445.75   147.25   -86.98     0.88)  ; 5
+            (  442.83   143.46   -87.10     0.88)  ; 6
+            (  439.62   140.61   -93.85     0.58)  ; 7
+            (  436.73   138.97   -94.90     0.58)  ; 8
+            (  433.52   136.44   -95.13     0.58)  ; 9
+            (  428.85   132.96   -96.10     0.58)  ; 10
+            (  425.35   129.80   -98.23     0.58)  ; 11
+            (  423.89   128.22   -99.12     0.58)  ; 12
+            (  420.98   124.43  -100.47     0.58)  ; 13
+            (  417.77   121.27  -101.22     0.58)  ; 14
+            (  414.26   117.48  -102.15     0.58)  ; 15
+            (  411.05   111.79  -104.05     0.58)  ; 16
+            (  409.30   108.32  -106.45     0.58)  ; 17
+            (  408.72   105.47  -110.85     0.58)  ; 18
+            (  406.68   102.31  -114.67     0.58)  ; 19
+            (  405.22    99.15  -114.95     0.58)  ; 20
+            (  404.05    96.31  -115.15     0.58)  ; 21
+            (  402.01    94.10  -115.50     0.58)  ; 22
+            (  397.05    91.88  -116.32     0.58)  ; 23
+            (
+              (  397.05    91.57  -116.32     0.58)  ; 1, R-1-1-2-1-1-1
+              (  393.25    90.62  -116.72     0.58)  ; 2
+              (  390.63    88.41  -116.85     0.29)  ; 3
+              (  386.83    85.56  -117.00     0.29)  ; 4
+              (  385.08    82.40  -117.40     0.29)  ; 5
+              (  382.16    79.88  -117.75     0.29)  ; 6
+              (  378.95    78.93  -118.20     0.29)  ; 7
+              (  374.28    77.66  -118.42     0.29)  ; 8
+              (  372.53    76.40  -119.07     0.29)  ; 9
+              (  369.03    74.82  -119.12     0.29)  ; 10
+              (  366.11    72.29  -120.13     0.29)  ; 11
+               High
+            |
+              (  393.84    89.67  -119.82     0.29)  ; 1, R-1-1-2-1-1-2
+              (  390.33    86.83  -122.40     0.29)  ; 2
+              (  388.58    84.93  -126.30     0.29)  ; 3
+              (  387.12    83.04  -130.55     0.29)  ; 4
+              (  386.83    80.19  -133.00     0.29)  ; 5
+              (  386.83    76.08  -134.63     0.29)  ; 6
+              (  386.83    72.92  -137.05     0.29)  ; 7
+              (  387.71    70.08  -140.55     0.29)  ; 8
+              (  387.12    68.18  -140.68     0.29)  ; 9
+              (  387.12    66.60  -142.35     0.29)  ; 10
+              (  387.12    65.02  -146.57     0.29)  ; 11
+              (  386.54    61.86  -149.65     0.29)  ; 12
+              (  385.67    59.97  -153.20     0.29)  ; 13
+              (  385.96    58.07  -156.22     0.29)  ; 14
+              (  386.54    56.81  -158.93     0.29)  ; 15
+              (  385.67    55.23  -159.97     0.29)  ; 16
+              (  385.37    53.96  -161.02     0.29)  ; 17
+              (  385.96    52.70  -161.65     0.29)  ; 18
+              (  386.25    50.80  -161.70     0.29)  ; 19
+              (  385.67    48.91  -161.70     0.29)  ; 20
+              (  383.04    47.33  -162.10     0.29)  ; 21
+               Incomplete
+            )  ;  End of split
+          |
+            (  447.49   164.77   -84.05     0.58)  ; 1, R-1-1-2-1-2
+            (  446.90   166.66   -84.52     0.58)  ; 2
+            (  446.32   171.09   -85.63     0.58)  ; 3
+            (  446.32   176.46   -87.22     0.58)  ; 4
+            (  446.90   180.88   -89.88     0.58)  ; 5
+            (  447.20   185.31   -93.05     0.58)  ; 6
+            (  446.90   190.36   -96.10     0.58)  ; 7
+            (  446.90   195.10   -98.80     0.58)  ; 8
+            (  446.32   199.21   -99.50     0.58)  ; 9
+            (  446.90   200.47  -100.90     0.58)  ; 10
+            (  447.78   202.69  -102.92     0.58)  ; 11
+            (  448.36   205.53  -105.47     0.58)  ; 12
+            (  448.36   208.37  -108.45     0.58)  ; 13
+            (  448.66   211.53  -112.82     0.58)  ; 14
+            (  448.95   212.48  -116.50     0.58)  ; 15
+            (  450.99   213.11  -117.02     0.58)  ; 16
+            (  454.49   214.06  -120.75     0.58)  ; 17
+            (  457.41   215.01  -122.35     0.58)  ; 18
+            (  459.74   214.38  -124.57     0.58)  ; 19
+            (  461.79   213.11  -126.53     0.58)  ; 20
+            (  462.08   214.06  -131.70     0.58)  ; 21
+            (  462.08   215.64  -131.80     0.58)  ; 22
+            (  460.62   215.96  -133.63     0.58)  ; 23
+            (  461.20   217.22  -136.72     0.58)  ; 24
+            (  460.62   218.49  -138.52     0.58)  ; 25
+            (  459.45   218.49  -140.95     0.58)  ; 26
+            (  457.70   219.12  -142.35     0.58)  ; 27
+             High
+          )  ;  End of split
+        |
+          (  449.95   173.35   -48.30     0.58)  ; 1, R-1-1-2-2
+          (  448.19   172.72   -48.47     0.58)  ; 2
+          (  446.15   174.30   -48.78     0.58)  ; 3
+          (  444.98   175.88   -49.47     0.58)  ; 4
+          (  444.40   177.14   -51.10     0.58)  ; 5
+          (  442.65   178.09   -53.00     0.58)  ; 6
+          (  440.90   178.41   -53.70     0.58)  ; 7
+          (  440.90   179.67   -53.90     0.58)  ; 8
+          (  440.02   180.94   -54.07     0.58)  ; 9
+          (  438.27   181.88   -54.78     0.58)  ; 10
+          (  436.23   183.15   -55.35     0.58)  ; 11
+          (  435.35   184.41   -56.77     0.58)  ; 12
+          (  433.90   186.94   -57.80     0.58)  ; 13
+          (  432.73   189.15   -60.25     0.58)  ; 14
+          (  431.27   191.36   -63.97     0.58)  ; 15
+          (  430.69   192.94   -66.20     0.58)  ; 16
+          (  430.69   194.21   -66.60     0.58)  ; 17
+          (  430.10   194.52   -66.60     0.58)  ; 18
+          (  427.48   196.42   -67.68     0.58)  ; 19
+          (  426.60   197.68   -68.70     0.58)  ; 20
+          (  426.02   199.26   -69.40     0.58)  ; 21
+          (  424.85   200.84   -71.68     0.58)  ; 22
+          (  423.39   203.37   -71.92     0.58)  ; 23
+          (  420.76   205.90   -73.32     0.58)  ; 24
+          (  419.30   208.11   -74.55     0.58)  ; 25
+          (  417.85   209.38   -76.30     0.58)  ; 26
+          (  414.34   211.90   -77.90     0.58)  ; 27
+          (  411.43   214.43   -79.53     0.58)  ; 28
+          (  409.97   216.33   -81.50     0.58)  ; 29
+          (  408.80   218.86   -83.95     0.58)  ; 30
+          (  407.63   221.38   -86.40     0.58)  ; 31
+          (  405.88   224.54   -89.03     0.58)  ; 32
+          (  403.84   226.76   -92.60     0.58)  ; 33
+          (  400.92   229.60   -93.85     0.58)  ; 34
+          (  396.86   230.86   -94.65     0.58)  ; 35
+          (  392.20   233.08   -95.10     0.58)  ; 36
+          (  388.40   235.92   -96.32     0.58)  ; 37
+          (  384.90   238.45   -97.28     0.58)  ; 38
+          (  383.73   239.71   -97.70     0.58)  ; 39
+          (  383.44   241.92   -98.10     0.58)  ; 40
+          (  382.57   244.77   -98.32     0.58)  ; 41
+          (  381.69   246.73   -99.15     0.58)  ; 42
+          (  380.23   248.31   -99.25     0.58)  ; 43
+          (  377.31   249.57   -99.43     0.58)  ; 44
+          (  376.44   250.84   -99.60     0.58)  ; 45
+          (  375.56   252.42   -99.78     0.58)  ; 46
+          (  373.52   253.36  -100.28     0.58)  ; 47
+          (  371.48   253.68  -101.00     0.58)  ; 48
+          (  370.02   255.26  -101.75     0.58)  ; 49
+          (  368.56   258.10  -102.57     0.58)  ; 50
+          (  368.56   261.58  -104.32     0.58)  ; 51
+           Normal
+        )  ;  End of split
+      )  ;  End of split
+    |
+      (  459.72   154.01   -25.90     2.33)  ; 1, R-1-2
+      (  458.84   154.64   -22.27     0.58)  ; 2
+      (  456.22   155.59   -18.48     0.58)  ; 3
+      (  455.34   157.17   -16.30     0.58)  ; 4
+      (  453.88   159.07   -15.70     0.58)  ; 5
+      (  452.42   160.02   -15.38     0.58)  ; 6
+
+      (Cross
+        (Color Orange)
+        (Name "Marker 3")
+        (  458.55   155.28   -18.48     0.58)  ; 1
+        (  457.38   155.91   -18.48     0.58)  ; 2
+        (  454.76   156.22   -16.30     0.58)  ; 3
+        (  456.51   157.49   -16.30     0.58)  ; 4
+        (  456.22   158.12   -15.70     0.58)  ; 5
+        (  455.63   159.38   -15.70     0.58)  ; 6
+        (  454.76   157.17   -15.70     0.58)  ; 7
+        (  454.17   158.12   -15.70     0.58)  ; 8
+        (  453.01   158.75   -15.38     0.58)  ; 9
+        (  453.01   160.96   -15.38     0.58)  ; 10
+      )  ;  End of markers
+      (
+        (  451.84   158.12   -15.22     0.58)  ; 1, R-1-2-1
+        (  450.09   156.22   -13.70     0.58)  ; 2
+        (  447.75   156.22   -11.75     0.58)  ; 3
+        (  446.59   156.22    -9.88     0.58)  ; 4
+        (  445.71   158.12    -9.88     0.58)  ; 5
+        (  444.54   158.75    -8.77     0.58)  ; 6
+        (  444.25   158.75    -8.77     0.58)  ; 7
+        (  442.79   158.12    -8.77     0.58)  ; 8
+        (  440.75   158.12    -5.53     0.58)  ; 9
+        (  439.29   158.75    -5.53     0.58)  ; 10
+        (  436.96   158.12    -2.97     0.58)  ; 11
+        (  435.79   157.80    -0.10     0.58)  ; 12
+        (  434.33   158.75     3.50     0.58)  ; 13
+        (  431.99   160.33     4.45     0.88)  ; 14
+        (  429.37   161.28     6.57     0.88)  ; 15
+        (  427.91   163.49     8.07     0.88)  ; 16
+        (  424.99   165.07     8.97     0.88)  ; 17
+        (  422.95   166.97     9.55     0.88)  ; 18
+        (  420.91   167.28    11.25     0.88)  ; 19
+        (  418.57   168.23    14.48     0.88)  ; 20
+        (  417.70   169.50    17.40     0.88)  ; 21
+        (  415.65   169.81    20.38     0.88)  ; 22
+        (  414.19   169.18    21.05     0.88)  ; 23
+        (  412.15   168.23    22.88     0.88)  ; 24
+        (  410.69   168.55    24.00     0.58)  ; 25
+        (  407.77   169.50    24.80     0.29)  ; 26
+
+        (Cross
+          (Color Orange)
+          (Name "Marker 3")
+          (  450.96   158.12   -13.70     0.58)  ; 1
+          (  451.55   156.22   -13.70     0.58)  ; 2
+          (  450.67   157.17   -13.70     0.58)  ; 3
+          (  450.09   156.86   -13.70     0.58)  ; 4
+          (  449.21   154.96   -13.70     0.58)  ; 5
+          (  447.75   154.33   -11.75     0.58)  ; 6
+          (  448.04   156.54   -11.75     0.58)  ; 7
+          (  446.59   155.28    -9.88     0.58)  ; 8
+          (  447.46   157.80    -9.88     0.58)  ; 9
+          (  446.00   157.17    -9.88     0.58)  ; 10
+          (  444.83   159.38    -8.77     0.58)  ; 11
+          (  443.38   157.80    -8.77     0.58)  ; 12
+          (  442.50   158.44    -8.77     0.58)  ; 13
+          (  441.33   157.17    -5.53     0.58)  ; 14
+          (  440.46   157.49    -5.53     0.58)  ; 15
+          (  441.33   159.38    -5.53     0.58)  ; 16
+          (  438.71   159.38    -3.22     0.58)  ; 17
+          (  437.54   158.75    -3.22     0.58)  ; 18
+          (  436.37   159.07    -0.10     0.58)  ; 19
+          (  436.08   158.12    -0.10     0.58)  ; 20
+          (  436.37   158.44     3.50     0.58)  ; 21
+          (  433.45   160.65     4.45     0.88)  ; 22
+          (  434.04   160.33     4.45     0.88)  ; 23
+          (  431.70   160.33     4.45     0.88)  ; 24
+          (  431.12   159.07     4.45     0.88)  ; 25
+          (  432.29   159.07     5.53     0.88)  ; 26
+          (  432.29   158.44     6.57     0.88)  ; 27
+          (  432.58   160.33     6.57     0.88)  ; 28
+          (  431.41   160.65     6.57     0.88)  ; 29
+          (  429.95   161.60     6.57     0.88)  ; 30
+          (  422.66   166.02     9.55     0.88)  ; 31
+          (  425.28   166.65     9.55     0.88)  ; 32
+          (  421.78   166.34    14.48     0.88)  ; 33
+          (  419.45   169.18    20.38     0.88)  ; 34
+          (  414.78   170.44    21.05     0.88)  ; 35
+          (  414.78   167.28    22.88     0.88)  ; 36
+        )  ;  End of markers
+         Low
+      |
+        (  450.96   160.96   -15.70     0.58)  ; 1, R-1-2-2
+        (  449.50   161.60   -18.70     0.58)  ; 2
+        (  447.75   161.91   -21.32     0.58)  ; 3
+        (  446.29   162.54   -21.98     0.58)  ; 4
+        (  444.83   162.86   -22.65     0.58)  ; 5
+        (  445.13   163.49   -22.80     0.58)  ; 6
+        (  445.13   165.39   -22.97     0.58)  ; 7
+        (  445.13   166.65   -24.02     0.58)  ; 8
+        (  444.25   167.60   -25.52     0.58)  ; 9
+        (  442.79   168.55   -26.82     0.58)  ; 10
+        (  440.75   168.55   -27.27     0.58)  ; 11
+        (  438.71   169.50   -27.42     0.58)  ; 12
+        (  437.25   170.13   -28.37     0.58)  ; 13
+        (  435.79   171.08   -27.65     0.58)  ; 14
+        (  434.33   172.97   -26.50     0.58)  ; 15
+        (  432.87   174.55   -26.10     0.58)  ; 16
+        (  431.99   176.13   -26.67     0.58)  ; 17
+        (  430.83   177.08   -27.27     0.58)  ; 18
+        (  429.37   178.34   -27.42     0.58)  ; 19
+        (  427.62   179.61   -27.57     0.58)  ; 20
+        (  426.45   179.92   -27.73     0.58)  ; 21
+        (  424.41   179.92   -27.75     0.58)  ; 22
+        (  423.24   178.66   -27.88     0.58)  ; 23
+        (  421.20   177.40   -29.25     0.58)  ; 24
+        (  418.28   177.08   -30.87     0.58)  ; 25
+        (  416.82   177.40   -33.30     0.58)  ; 26
+        (  415.07   178.66   -34.38     0.58)  ; 27
+        (  413.90   180.24   -35.22     0.58)  ; 28
+        (  412.73   180.87   -35.35     0.58)  ; 29
+        (  410.69   180.87   -35.57     0.58)  ; 30
+        (  409.52   179.92   -36.13     0.58)  ; 31
+        (  407.19   179.61   -36.82     0.58)  ; 32
+        (  405.15   180.24   -38.57     0.58)  ; 33
+        (  404.56   180.87   -38.85     0.58)  ; 34
+        (  403.69   182.77   -40.10     0.58)  ; 35
+        (  402.81   183.78   -40.32     0.58)  ; 36
+        (  401.65   184.10   -40.45     0.58)  ; 37
+        (  399.90   184.41   -40.60     0.58)  ; 38
+        (  396.69   184.41   -42.25     0.88)  ; 39
+        (  393.48   184.73   -43.35     0.88)  ; 40
+        (  391.72   185.99   -43.72     0.88)  ; 41
+        (  390.27   186.94   -45.70     0.58)  ; 42
+        (  389.68   187.57   -47.10     0.58)  ; 43
+        (  388.81   187.89   -48.75     0.58)  ; 44
+        (  386.76   186.94   -50.25     0.88)  ; 45
+        (  384.14   185.68   -51.08     0.88)  ; 46
+        (  383.26   185.36   -51.93     0.58)  ; 47
+        (  381.51   185.99   -52.10     0.58)  ; 48
+        (  379.47   187.26   -53.30     0.58)  ; 49
+        (  379.18   188.84   -54.20     0.58)  ; 50
+        (  378.59   190.10   -55.22     0.58)  ; 51
+        (  376.55   191.05   -55.83     0.58)  ; 52
+        (  373.95   191.68   -55.90     0.58)  ; 53
+        (  371.33   192.31   -56.32     0.58)  ; 54
+        (  368.99   192.63   -56.32     0.58)  ; 55
+        (  367.82   193.26   -57.05     0.58)  ; 56
+        (  366.66   193.89   -57.37     0.58)  ; 57
+        (  365.78   193.89   -57.45     0.58)  ; 58
+        (  363.74   193.26   -58.15     0.58)  ; 59
+        (  361.40   194.21   -59.80     0.58)  ; 60
+        (  359.65   196.10   -60.52     0.58)  ; 61
+        (  358.49   197.37   -60.30     0.58)  ; 62
+        (  357.61   198.95   -59.47     0.58)  ; 63
+        (  356.74   199.58   -59.42     0.58)  ; 64
+        (  356.15   199.58   -59.02     0.58)  ; 65
+        (  354.98   198.95   -58.90     0.58)  ; 66
+        (  353.53   198.00   -58.07     0.58)  ; 67
+        (  352.65   196.74   -56.52     0.58)  ; 68
+        (  350.90   196.10   -56.30     0.58)  ; 69
+        (  349.15   196.42   -55.13     0.58)  ; 70
+        (  346.81   197.05   -54.63     0.58)  ; 71
+        (  345.35   198.32   -54.55     0.58)  ; 72
+        (  344.19   199.58   -54.25     0.58)  ; 73
+        (  341.27   199.90   -54.13     0.58)  ; 74
+        (  339.23   199.90   -54.97     0.58)  ; 75
+        (  336.31   200.53   -56.70     0.58)  ; 76
+        (  333.68   201.16   -57.17     0.58)  ; 77
+        (  331.93   201.16   -57.30     0.58)  ; 78
+        (  329.60   201.16   -57.50     0.58)  ; 79
+        (  328.43   201.79   -57.77     0.58)  ; 80
+        (  327.26   203.06   -57.85     0.58)  ; 81
+        (  326.10   204.64   -57.95     0.58)  ; 82
+        (  325.22   206.85   -57.95     0.58)  ; 83
+        (  323.76   208.74   -58.02     0.58)  ; 84
+        (  322.59   211.90   -58.05     0.58)  ; 85
+        (  321.43   216.33   -58.35     0.58)  ; 86
+        (  320.55   219.80   -58.67     0.58)  ; 87
+        (  319.68   222.96   -58.97     0.58)  ; 88
+        (  318.54   226.50   -59.13     0.58)  ; 89
+        (  317.08   230.30   -60.13     0.58)  ; 90
+        (  316.79   232.19   -60.20     0.58)  ; 91
+        (  317.37   233.46   -60.32     0.58)  ; 92
+        (  317.08   236.30   -60.45     0.58)  ; 93
+        (  316.20   238.83   -60.95     0.58)  ; 94
+        (  313.87   240.41   -61.17     0.58)  ; 95
+        (  312.70   241.67   -61.85     0.58)  ; 96
+        (  310.66   242.62   -62.25     0.58)  ; 97
+        (  307.16   244.83   -62.75     0.29)  ; 98
+        (  306.86   246.41   -64.07     0.29)  ; 99
+        (  305.99   249.26   -64.95     0.29)  ; 100
+        (  305.11   249.89   -65.95     0.29)  ; 101
+        (  302.78   250.52   -66.00     0.29)  ; 102
+        (  299.86   252.42   -66.38     0.29)  ; 103
+        (  298.11   254.37   -66.82     0.29)  ; 104
+        (  295.19   256.27   -67.50     0.29)  ; 105
+        (  292.86   257.53   -67.80     0.29)  ; 106
+        (  289.36   258.17   -68.17     0.29)  ; 107
+        (  288.77   258.80   -68.22     0.29)  ; 108
+         Normal
+      )  ;  End of split
+    )  ;  End of split
+  |
+    (  462.96   135.75   -21.45     0.58)  ; 1, R-2
+    (  462.37   136.70   -18.85     0.58)  ; 2
+    (  461.50   137.33   -15.22     0.58)  ; 3
+    (  459.75   137.33   -13.45     0.58)  ; 4
+    (  456.24   138.28   -12.65     0.88)  ; 5
+    (  454.20   138.91   -12.38     0.58)  ; 6
+    (  453.62   139.86    -8.63     0.58)  ; 7
+    (  453.33   141.75    -8.13     0.58)  ; 8
+    (  451.87   142.70    -7.97     0.58)  ; 9
+    (  449.24   144.91    -5.95     0.58)  ; 10
+    (  448.37   145.54    -4.30     0.88)  ; 11
+
+    (Cross
+      (Color Orange)
+      (Name "Marker 3")
+      (  458.29   137.01   -12.65     0.88)  ; 1
+      (  455.08   137.64   -11.68     0.88)  ; 2
+      (  452.16   141.12    -7.97     0.58)  ; 3
+      (  453.03   139.86    -7.97     0.58)  ; 4
+      (  450.70   142.70    -5.95     0.58)  ; 5
+      (  450.12   143.33    -5.95     0.58)  ; 6
+      (  451.87   144.60    -5.95     0.58)  ; 7
+      (  449.53   146.18    -4.30     0.88)  ; 8
+      (  447.49   144.60    -4.30     0.88)  ; 9
+    )  ;  End of markers
+    (
+      (  448.66   146.81    -1.27     0.58)  ; 1, R-2-1
+      (  448.95   146.81     0.40     0.58)  ; 2
+      (  448.07   145.86     0.40     0.58)  ; 3
+      (  447.20   145.86     2.13     0.58)  ; 4
+      (  446.03   146.49     2.90     0.58)  ; 5
+      (  446.03   147.12     4.85     0.58)  ; 6
+      (  446.61   148.07     4.85     0.58)  ; 7
+      (  448.66   149.34     6.47     0.58)  ; 8
+      (  448.66   150.92     7.97     0.58)  ; 9
+      (  448.95   152.81     8.60     0.58)  ; 10
+      (  449.53   154.39    11.07     0.58)  ; 11
+      (  450.41   155.34    12.10     0.58)  ; 12
+      (  450.99   154.71    12.80     0.58)  ; 13
+      (  451.87   155.02    13.55     0.58)  ; 14
+      (  452.45   155.97    15.60     0.58)  ; 15
+      (  453.62   158.18    18.15     0.88)  ; 16
+      (  454.49   161.34    21.48     0.88)  ; 17
+      (  456.24   164.50    23.75     0.88)  ; 18
+      (  455.95   166.08    25.67     0.88)  ; 19
+      (  455.08   169.24    27.22     0.88)  ; 20
+      (  453.62   172.09    27.45     0.88)  ; 21
+
+      (Cross
+        (Color Orange)
+        (Name "Marker 3")
+        (  448.95   147.12     0.40     0.58)  ; 1
+        (  445.45   145.54     2.90     0.58)  ; 2
+        (  446.32   145.54     2.90     0.58)  ; 3
+        (  447.20   147.12     4.85     0.58)  ; 4
+        (  446.03   147.76     6.47     0.58)  ; 5
+        (  447.78   151.55     8.60     0.58)  ; 6
+        (  451.28   155.97    15.60     0.58)  ; 7
+        (  452.74   157.87    18.60     0.88)  ; 8
+        (  454.49   158.18    18.60     0.88)  ; 9
+        (  453.62   161.66    21.48     0.88)  ; 10
+        (  454.49   163.56    23.75     0.88)  ; 11
+        (  456.24   164.50    23.75     0.88)  ; 12
+        (  456.24   162.61    23.75     0.88)  ; 13
+        (  454.79   172.09    27.45     0.88)  ; 14
+        (  456.54   166.72    27.45     0.88)  ; 15
+      )  ;  End of markers
+       Low
+    |
+      (  448.37   146.18    -4.47     0.58)  ; 1, R-2-2
+      (  446.61   147.12    -4.30     0.58)  ; 2
+      (  445.45   147.12    -3.80     0.58)  ; 3
+      (  443.99   146.81    -3.30     0.58)  ; 4
+      (  442.82   147.44    -1.20     0.58)  ; 5
+      (  441.07   149.02    -1.20     0.58)  ; 6
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+      (  424.14   162.29    16.10     0.58)  ; 19
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+      (  420.06   164.19    20.40     0.58)  ; 21
+      (  418.60   165.45    22.50     1.17)  ; 22
+      (  416.56   167.35    22.50     1.17)  ; 23
+      (  416.56   168.93    24.97     1.17)  ; 24
+
+      (Cross
+        (Color Orange)
+        (Name "Marker 3")
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+        (  439.61   151.86     1.55     0.58)  ; 9
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+        (  437.86   153.44     2.70     0.58)  ; 11
+        (  434.94   153.13     4.50     0.58)  ; 12
+        (  434.07   153.76     4.50     0.58)  ; 13
+        (  435.82   155.02     4.50     0.58)  ; 14
+        (  433.19   157.87     8.32     0.58)  ; 15
+        (  430.27   157.24    10.38     0.58)  ; 16
+        (  429.11   158.82    11.50     0.58)  ; 17
+        (  430.27   158.82    11.50     0.58)  ; 18
+        (  428.81   160.40    11.50     0.58)  ; 19
+        (  425.02   160.08    16.10     0.58)  ; 20
+        (  425.90   160.08    16.10     0.58)  ; 21
+        (  425.90   162.61    18.77     0.58)  ; 22
+        (  424.14   163.87    18.77     0.58)  ; 23
+        (  423.27   163.56    18.77     0.58)  ; 24
+        (  421.81   162.29    20.40     0.58)  ; 25
+        (  420.93   162.92    20.40     0.58)  ; 26
+        (  419.77   163.24    20.40     0.58)  ; 27
+        (  418.89   163.87    22.50     1.17)  ; 28
+        (  417.14   165.14    22.50     1.17)  ; 29
+        (  420.35   166.08    22.50     1.17)  ; 30
+        (  418.31   167.66    24.97     1.17)  ; 31
+        (  416.85   167.66    24.97     1.17)  ; 32
+      )  ;  End of markers
+       Low
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
diff --git a/docs/tutorial/01_opt_external_models/components/morphologies/cell3.asc b/docs/tutorial/01_opt_external_models/components/morphologies/cell3.asc
new file mode 100755
index 00000000..9eae0711
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/morphologies/cell3.asc
@@ -0,0 +1,30799 @@
+;	V3 text file written for MicroBrightField products.
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+
+("CellBody"
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+
+( (Color Yellow)
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+                  )  ;  End of markers
+                   Normal
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+                  )  ;  End of markers
+                   Normal
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+        )  ;  End of markers
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+            )  ;  End of markers
+
+            (OpenCircle
+              (Color Yellow)
+              (Name "Marker 2")
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+            )  ;  End of markers
+             Normal
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+
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+            )  ;  End of markers
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+        (   80.23  -130.45     1.02     0.23)  ; 54
+
+        (Dot
+          (Color Yellow)
+          (Name "Marker 1")
+          (   10.87  -112.28   -22.60     0.23)  ; 1
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+        )  ;  End of markers
+
+        (OpenCircle
+          (Color Yellow)
+          (Name "Marker 2")
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+        )  ;  End of markers
+         Normal
+      )  ;  End of split
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+      (
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+
+        (OpenCircle
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+        )  ;  End of markers
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+
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+            (  335.26   176.88  -132.25     0.23)  ; 27
+            (  346.40   195.55  -135.07     0.23)  ; 28
+            (  353.45   199.00  -136.15     0.23)  ; 29
+            (  359.81   203.60  -136.13     0.23)  ; 30
+            (  390.72   249.28  -142.15     0.23)  ; 31
+            (  405.04   292.38  -150.05     0.23)  ; 32
+            (  410.04   305.31  -150.88     0.23)  ; 33
+            (  411.40   307.90  -151.35     0.23)  ; 34
+            (  429.58   349.27  -160.98     0.23)  ; 35
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+            (  475.49   462.19  -169.77     0.23)  ; 37
+            (  477.76   467.94  -170.73     0.23)  ; 38
+            (  480.04   477.42  -168.55     0.23)  ; 39
+            (  481.17   481.44  -167.92     0.23)  ; 40
+            (  490.49   502.13  -172.92     0.23)  ; 41
+            (  492.31   510.75  -175.50     0.23)  ; 42
+            (  492.08   518.80  -174.90     0.23)  ; 43
+            (  502.76   546.96  -176.43     0.23)  ; 44
+          )  ;  End of markers
+           Normal
+        |
+          (    8.17  -120.63   -30.90     0.23)  ; 1, R-2-2-2-2
+          (    8.63  -122.64   -30.83     0.23)  ; 2
+          (    9.08  -124.07   -30.55     0.23)  ; 3
+          (    8.40  -125.80   -29.92     0.23)  ; 4
+          (    8.40  -126.66   -30.38     0.23)  ; 5
+          (    8.17  -130.11   -30.38     0.23)  ; 6
+          (    8.17  -132.41   -29.70     0.23)  ; 7
+          (    8.40  -134.42   -29.32     0.23)  ; 8
+          (    8.40  -135.57   -28.92     0.23)  ; 9
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+          (    8.85  -139.30   -28.82     0.23)  ; 11
+          (    9.31  -141.89   -29.08     0.23)  ; 12
+          (    8.81  -145.07   -29.08     0.23)  ; 13
+          (    8.58  -147.94   -27.67     0.23)  ; 14
+          (    8.58  -149.09   -27.20     0.23)  ; 15
+          (    7.90  -150.81   -27.22     0.23)  ; 16
+          (    7.45  -151.68   -26.63     0.23)  ; 17
+          (    6.54  -153.40   -26.45     0.23)  ; 18
+          (    6.08  -155.70   -25.97     0.23)  ; 19
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+          (    6.76  -159.72   -25.10     0.23)  ; 21
+          (    7.22  -161.16   -25.10     0.23)  ; 22
+          (    7.22  -162.59   -24.85     0.23)  ; 23
+          (    6.99  -164.32   -24.85     0.23)  ; 24
+          (    7.22  -165.75   -25.65     0.23)  ; 25
+          (    6.99  -168.63   -26.05     0.23)  ; 26
+          (    6.76  -171.79   -26.58     0.23)  ; 27
+          (    6.76  -173.51   -27.20     0.23)  ; 28
+          (    6.54  -174.37   -27.40     0.23)  ; 29
+          (    6.31  -175.52   -27.42     0.23)  ; 30
+          (    6.54  -177.82   -27.50     0.23)  ; 31
+          (    6.54  -180.12   -27.70     0.23)  ; 32
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+          (    5.85  -185.29   -26.72     0.23)  ; 34
+          (    5.85  -186.73   -25.83     0.23)  ; 35
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+          (    0.40  -220.06   -19.88     0.23)  ; 53
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+          (    0.85  -223.22   -20.20     0.23)  ; 55
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+          (   -3.01  -228.68   -17.88     0.23)  ; 60
+          (   -3.46  -229.83   -17.75     0.23)  ; 61
+          (   -4.60  -230.69   -17.70     0.23)  ; 62
+          (   -4.83  -232.41   -16.98     0.23)  ; 63
+          (   -5.51  -232.70   -16.98     0.23)  ; 64
+          (   -5.96  -233.28   -16.55     0.23)  ; 65
+          (   -6.65  -235.00   -16.47     0.23)  ; 66
+          (   -7.33  -236.72   -15.90     0.23)  ; 67
+          (   -7.10  -237.30   -15.60     0.23)  ; 68
+          (   -7.55  -238.45   -15.07     0.23)  ; 69
+          (   -8.46  -239.60   -15.00     0.23)  ; 70
+          (   -8.69  -241.03   -14.63     0.23)  ; 71
+          (   -9.15  -242.18   -14.63     0.23)  ; 72
+          (  -10.96  -244.77   -14.05     0.23)  ; 73
+          (  -11.42  -247.07   -14.05     0.23)  ; 74
+          (  -12.10  -249.08   -15.43     0.23)  ; 75
+          (  -11.87  -250.52   -15.00     0.23)  ; 76
+          (  -12.78  -251.38   -14.95     0.23)  ; 77
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+          (  -13.01  -253.39   -14.35     0.23)  ; 79
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+          (  -13.46  -256.26   -13.67     0.23)  ; 81
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+
+          (Dot
+            (Color Yellow)
+            (Name "Marker 1")
+            (    8.40  -121.77   -30.85     0.23)  ; 1
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+          )  ;  End of markers
+
+          (OpenCircle
+            (Color Yellow)
+            (Name "Marker 2")
+            (    9.08  -141.60   -29.08     0.23)  ; 1
+            (    6.76  -179.83   -27.70     0.23)  ; 2
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+          )  ;  End of markers
+           High
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color Green)
+  (Dendrite)
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+  (  -54.60     7.31   -10.20     2.27)  ; 9
+
+  (FilledCircle
+    (Color Green)
+    (Name "Marker 11")
+    (  -51.65     5.88   -11.22     2.27)  ; 1
+  )  ;  End of markers
+  (
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+
+    (FilledCircle
+      (Color Green)
+      (Name "Marker 11")
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+      (  -52.33     4.73   -11.25     1.36)  ; 12
+    )  ;  End of markers
+    (
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+      (  -62.33   -15.96    -2.92     0.91)  ; 11
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+      (  -65.05   -16.25    -0.65     0.45)  ; 14
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+      (  -64.15   -18.83     0.80     0.45)  ; 16
+      (  -63.69   -18.83     1.67     0.45)  ; 17
+      (  -63.01   -18.55     2.55     0.45)  ; 18
+      (  -62.78   -17.97     2.75     0.45)  ; 19
+      (  -62.78   -16.82     2.90     0.45)  ; 20
+
+      (FilledCircle
+        (Color Green)
+        (Name "Marker 11")
+        (  -63.01   -16.25     1.80     0.45)  ; 1
+        (  -63.92   -17.40    -0.82     0.45)  ; 2
+        (  -62.78   -12.23    -5.48     0.45)  ; 3
+        (  -65.28   -10.50    -5.60     0.45)  ; 4
+        (  -66.87   -11.08    -6.50     0.45)  ; 5
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+        (  -63.92   -11.65    -5.80     0.45)  ; 7
+      )  ;  End of markers
+       Normal
+    |
+      (  -70.96   -10.21    -5.85     1.14)  ; 1, R-1-2
+      (  -72.78    -9.93    -6.70     1.14)  ; 2
+      (  -74.15   -10.50    -6.70     1.14)  ; 3
+      (  -75.05   -11.08    -6.70     1.14)  ; 4
+
+      (FilledCircle
+        (Color Green)
+        (Name "Marker 11")
+        (  -75.05    -9.35    -6.40     1.14)  ; 1
+        (  -73.24    -9.07    -7.30     1.14)  ; 2
+        (  -71.42   -11.08    -6.80     1.14)  ; 3
+        (  -70.28   -11.08    -6.82     1.14)  ; 4
+      )  ;  End of markers
+      (
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+        (  -74.37   -12.51    -3.02     1.14)  ; 2
+        (  -75.51   -13.38    -2.92     0.91)  ; 3
+        (  -76.65   -13.09    -2.92     0.68)  ; 4
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+        (  -91.19   -21.13    -1.60     0.68)  ; 16
+        (  -91.87   -21.71    -1.60     0.91)  ; 17
+        (  -92.78   -22.28    -1.60     1.59)  ; 18
+        (  -93.46   -22.86    -1.60     0.91)  ; 19
+        (  -94.26   -23.43    -0.50     0.68)  ; 20
+        (  -95.85   -24.87     0.22     0.68)  ; 21
+        (  -97.44   -25.44     0.80     0.91)  ; 22
+        (  -98.80   -26.30     0.80     0.91)  ; 23
+        ( -100.17   -27.74     1.20     0.68)  ; 24
+        ( -101.53   -28.32     1.25     0.68)  ; 25
+        ( -103.12   -28.60     1.25     1.14)  ; 26
+        ( -103.80   -27.45     0.55     0.68)  ; 27
+        ( -104.71   -26.30     1.50     0.68)  ; 28
+        ( -106.08   -24.01     1.45     0.45)  ; 29
+        ( -104.26   -22.86     0.60     0.45)  ; 30
+        ( -103.80   -21.42     0.65     0.45)  ; 31
+        ( -103.58   -20.56     1.67     0.45)  ; 32
+        ( -104.49   -19.70     3.57     0.45)  ; 33
+        ( -104.71   -19.12     3.85     0.45)  ; 34
+
+        (FilledCircle
+          (Color Green)
+          (Name "Marker 11")
+          (  -90.51   -22.57    -2.40     0.91)  ; 1
+          (  -87.33   -19.41    -4.20     0.91)  ; 2
+          (  -73.46   -11.94    -3.55     0.91)  ; 3
+          (  -74.15   -13.38    -3.52     0.91)  ; 4
+          (  -78.46   -13.66    -3.60     0.91)  ; 5
+          (  -87.55   -19.70    -4.55     0.91)  ; 6
+          (  -85.28   -16.25    -4.25     0.91)  ; 7
+          (  -80.96   -17.40    -5.10     0.91)  ; 8
+          (  -82.33   -15.96    -3.38     0.91)  ; 9
+          (  -92.78   -23.72    -1.70     0.91)  ; 10
+          ( -105.62   -21.42     2.08     0.45)  ; 11
+          ( -103.80   -26.30     1.40     0.45)  ; 12
+          ( -105.40   -30.90     1.60     0.45)  ; 13
+          ( -102.21   -27.45     1.25     0.45)  ; 14
+          ( -104.26   -28.03     1.22     0.45)  ; 15
+          ( -100.40   -26.88    -0.35     0.45)  ; 16
+          ( -101.30   -29.47    -0.02     0.45)  ; 17
+        )  ;  End of markers
+         High
+      |
+        (  -76.08   -12.51    -7.65     1.14)  ; 1, R-1-2-2
+        (  -77.44   -14.24    -8.32     1.14)  ; 2
+        (  -78.12   -15.67    -7.40     1.14)  ; 3
+        (  -78.12   -17.11    -6.82     1.14)  ; 4
+        (  -78.35   -18.26    -6.35     1.14)  ; 5
+        (  -79.71   -19.98    -6.35     1.14)  ; 6
+        (  -80.62   -20.85    -7.17     1.14)  ; 7
+        (  -81.30   -21.42    -7.87     1.14)  ; 8
+        (  -81.30   -22.28    -8.50     1.14)  ; 9
+        (  -82.21   -23.43    -8.75     1.14)  ; 10
+        (  -83.35   -24.01    -8.75     1.14)  ; 11
+        (  -84.03   -24.58    -8.75     1.14)  ; 12
+        (  -85.62   -25.16    -8.80     1.14)  ; 13
+        (  -86.99   -26.88    -9.52     1.36)  ; 14
+        (  -88.12   -28.32   -10.28     1.36)  ; 15
+        (  -89.26   -29.18   -10.28     1.36)  ; 16
+        (  -90.40   -30.04    -9.00     1.14)  ; 17
+        (  -91.76   -30.61    -8.97     1.14)  ; 18
+        (  -93.12   -31.48    -8.02     1.36)  ; 19
+        (  -94.03   -32.34    -7.70     1.36)  ; 20
+        (  -95.40   -33.78    -7.72     1.59)  ; 21
+        (  -95.71   -35.46    -7.65     1.82)  ; 22
+
+        (FilledCircle
+          (Color Green)
+          (Name "Marker 11")
+          (  -77.44   -17.40    -8.15     1.59)  ; 1
+          (  -76.30   -20.27    -6.25     1.59)  ; 2
+          (  -77.67   -19.70    -5.70     1.59)  ; 3
+          (  -79.49   -18.83    -4.35     1.59)  ; 4
+          (  -77.90   -17.97    -4.70     1.59)  ; 5
+          (  -77.90   -21.71    -5.97     1.59)  ; 6
+          (  -79.03   -20.56    -7.50     1.59)  ; 7
+          (  -80.62   -19.70    -6.38     1.59)  ; 8
+          (  -81.99   -20.85    -6.47     1.59)  ; 9
+          (  -81.08   -25.16    -7.05     1.59)  ; 10
+          (  -79.94   -24.29    -7.02     1.59)  ; 11
+          (  -81.30   -24.01    -7.60     1.59)  ; 12
+          (  -79.71   -23.14    -8.45     1.59)  ; 13
+          (  -82.67   -24.87    -8.55     1.59)  ; 14
+          (  -83.58   -26.30    -8.15     1.59)  ; 15
+          (  -84.71   -27.74    -9.00     1.59)  ; 16
+          (  -85.62   -27.74   -10.30     1.59)  ; 17
+          (  -85.40   -26.59    -9.67     1.59)  ; 18
+          (  -85.62   -23.14    -4.92     1.59)  ; 19
+          (  -85.17   -21.99    -5.55     1.59)  ; 20
+          (  -86.76   -23.43    -4.52     1.59)  ; 21
+          (  -87.44   -25.73    -8.95     1.59)  ; 22
+          (  -87.90   -30.61   -10.17     1.59)  ; 23
+          (  -86.08   -31.19    -9.80     1.59)  ; 24
+          (  -91.08   -27.74    -7.67     1.59)  ; 25
+          (  -90.85   -28.89    -8.47     1.59)  ; 26
+          (  -90.40   -31.48    -8.13     1.59)  ; 27
+          (  -92.21   -29.18    -8.95     1.59)  ; 28
+          (  -94.49   -30.61   -10.05     1.59)  ; 29
+          (  -96.08   -31.48    -8.75     1.59)  ; 30
+          (  -93.12   -34.06    -7.53     1.59)  ; 31
+          (  -96.76   -33.20    -6.60     1.59)  ; 32
+          (  -93.89   -34.02    -6.52     1.82)  ; 33
+          (  -96.85   -34.60    -7.60     1.82)  ; 34
+        )  ;  End of markers
+        (
+          (  -96.16   -37.47    -7.72     1.14)  ; 1, R-1-2-2-1
+          (  -96.39   -39.48    -7.87     1.14)  ; 2
+          (  -95.25   -41.21    -8.50     1.14)  ; 3
+          (  -94.57   -42.64    -8.00     1.14)  ; 4
+          (  -94.12   -44.66    -8.13     1.14)  ; 5
+          (  -94.12   -46.09    -7.72     1.14)  ; 6
+          (  -94.57   -46.67    -8.38     1.14)  ; 7
+          (  -94.80   -47.82    -8.42     1.36)  ; 8
+          (  -93.89   -48.97    -9.27     1.36)  ; 9
+          (  -93.44   -50.40    -9.32     1.14)  ; 10
+          (  -93.66   -51.55    -9.32     1.14)  ; 11
+          (  -93.44   -53.28    -9.35     0.91)  ; 12
+          (  -92.98   -54.43    -9.77     0.91)  ; 13
+          (  -92.30   -55.86    -9.82     0.91)  ; 14
+          (  -91.62   -56.44   -10.63     1.36)  ; 15
+          (  -90.48   -56.72   -10.82     1.36)  ; 16
+          (  -89.35   -56.72   -11.63     1.36)  ; 17
+          (  -88.21   -57.30   -11.65     1.36)  ; 18
+          (  -87.53   -57.87   -12.50     1.36)  ; 19
+          (  -87.30   -58.74   -13.52     1.14)  ; 20
+          (  -86.85   -59.88   -14.57     1.14)  ; 21
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+          (  -85.48   -62.47   -16.00     1.36)  ; 23
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+          (  -83.44   -65.34   -16.77     1.36)  ; 25
+          (  -82.53   -66.49   -17.55     2.05)  ; 26
+          (  -81.62   -66.78   -18.02     2.05)  ; 27
+          (  -80.48   -68.79   -18.50     2.05)  ; 28
+          (  -79.80   -70.80   -19.17     2.05)  ; 29
+          (  -79.57   -73.10   -20.17     1.82)  ; 30
+          (  -79.12   -75.11   -20.85     1.59)  ; 31
+          (  -78.44   -77.12   -21.48     1.36)  ; 32
+          (  -77.53   -78.56   -21.48     1.82)  ; 33
+          (  -76.16   -80.28   -22.45     1.82)  ; 34
+          (  -75.48   -81.15   -23.17     2.05)  ; 35
+          (  -74.80   -83.16   -23.90     2.05)  ; 36
+          (  -73.89   -85.17   -24.42     1.82)  ; 37
+          (  -73.44   -86.89   -24.60     1.59)  ; 38
+          (  -72.53   -88.62   -25.27     1.59)  ; 39
+          (  -70.94   -90.05   -25.27     1.59)  ; 40
+          (  -69.57   -90.34   -25.27     1.59)  ; 41
+          (  -68.21   -90.05   -25.27     1.59)  ; 42
+          (  -66.85   -89.77   -25.27     1.59)  ; 43
+          (  -66.16   -90.34   -25.27     1.59)  ; 44
+          (  -64.12   -91.49   -25.85     1.82)  ; 45
+          (  -62.30   -92.35   -26.35     2.05)  ; 46
+          (  -61.16   -92.93   -26.35     1.82)  ; 47
+          (  -60.25   -94.08   -26.35     1.36)  ; 48
+
+          (FilledCircle
+            (Color Green)
+            (Name "Marker 11")
+            (  -58.44   -96.09   -24.20     1.36)  ; 1
+            (  -60.25   -95.51   -24.20     1.36)  ; 2
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+            (  -68.89   -91.49   -24.75     1.36)  ; 16
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+            (  -73.66   -81.72   -20.07     1.36)  ; 21
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+            (  -77.30   -71.09   -17.98     1.36)  ; 35
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+            (  -84.80   -65.06   -15.12     1.36)  ; 40
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+            (  -83.66   -61.90   -15.48     1.36)  ; 42
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+            (  -87.75   -62.76   -13.80     1.36)  ; 44
+            (  -85.03   -60.75   -16.92     1.36)  ; 45
+            (  -85.25   -61.90   -16.42     1.36)  ; 46
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+            (  -85.03   -59.88   -13.42     1.36)  ; 48
+            (  -87.98   -60.46   -11.65     1.36)  ; 49
+            (  -87.98   -61.61   -15.70     1.36)  ; 50
+            (  -85.71   -58.74   -13.15     1.36)  ; 51
+            (  -88.66   -58.45   -12.95     1.36)  ; 52
+            (  -89.35   -60.17    -9.02     1.36)  ; 53
+            (  -89.80   -58.74    -8.42     1.36)  ; 54
+            (  -91.62   -58.74    -8.38     1.36)  ; 55
+            (  -93.44   -59.31    -7.15     1.36)  ; 56
+            (  -95.25   -57.87   -11.10     1.36)  ; 57
+            (  -93.44   -57.01   -10.28     1.36)  ; 58
+            (  -94.12   -57.59    -6.57     1.36)  ; 59
+            (  -92.98   -58.16    -6.60     1.36)  ; 60
+            (  -89.80   -57.87    -7.15     1.36)  ; 61
+            (  -91.16   -55.86   -10.80     1.36)  ; 62
+            (  -90.25   -56.15    -9.20     1.36)  ; 63
+            (  -93.89   -53.56   -10.05     1.36)  ; 64
+            (  -95.94   -51.26    -6.95     1.36)  ; 65
+            (  -95.94   -50.69    -8.00     1.36)  ; 66
+            (  -94.80   -50.69    -6.00     1.36)  ; 67
+            (  -91.39   -50.69    -7.97     1.36)  ; 68
+            (  -92.30   -50.40    -4.32     1.36)  ; 69
+            (  -95.48   -49.54    -4.32     1.36)  ; 70
+            (  -92.30   -48.68    -6.88     1.36)  ; 71
+            (  -95.25   -48.39    -6.90     1.36)  ; 72
+            (  -95.25   -47.24    -7.05     1.36)  ; 73
+            (  -96.39   -46.67    -5.92     1.36)  ; 74
+            (  -95.48   -45.23    -8.45     1.36)  ; 75
+            (  -95.25   -43.51    -6.57     1.36)  ; 76
+            (  -92.75   -44.66    -6.62     1.36)  ; 77
+            (  -90.48   -46.38    -8.97     1.36)  ; 78
+            (  -91.85   -45.81    -8.50     1.36)  ; 79
+            (  -93.21   -55.29    -9.48     1.36)  ; 80
+            (  -94.12   -51.84    -8.85     1.36)  ; 81
+            (  -92.75   -43.22    -9.10     1.36)  ; 82
+            (  -94.80   -40.35    -9.10     1.36)  ; 83
+            (  -93.44   -38.05    -8.10     1.36)  ; 84
+            (  -94.35   -36.61    -8.10     1.36)  ; 85
+            (  -96.85   -40.06    -8.75     1.36)  ; 86
+          )  ;  End of markers
+           Normal
+        |
+          (  -96.85   -36.04    -8.18     1.14)  ; 1, R-1-2-2-2
+          (  -97.30   -37.19    -7.17     1.14)  ; 2
+          (  -97.30   -38.33    -6.25     1.14)  ; 3
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+          ( -100.71   -42.93    -3.70     1.36)  ; 7
+          ( -101.16   -44.08    -3.32     1.36)  ; 8
+          ( -101.85   -45.23    -3.32     1.59)  ; 9
+          ( -103.21   -46.09    -2.95     1.59)  ; 10
+          ( -104.57   -46.95    -4.35     1.59)  ; 11
+          ( -105.71   -47.53    -5.15     1.59)  ; 12
+          ( -107.07   -48.10    -6.05     1.59)  ; 13
+          ( -108.89   -48.39    -6.57     1.59)  ; 14
+          ( -110.25   -48.39    -6.57     1.59)  ; 15
+          ( -112.30   -49.54    -6.75     1.59)  ; 16
+          ( -113.21   -50.98    -6.75     1.59)  ; 17
+          ( -114.80   -52.13    -6.75     1.59)  ; 18
+          ( -115.71   -53.85    -7.35     1.36)  ; 19
+          ( -116.85   -54.71    -7.35     1.36)  ; 20
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+          ( -120.25   -61.90    -7.67     1.36)  ; 25
+          ( -120.94   -63.62    -7.72     1.59)  ; 26
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+          ( -123.66   -67.07    -5.80     1.36)  ; 28
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+          ( -127.07   -70.80    -6.80     1.36)  ; 30
+          ( -127.98   -73.39    -7.72     1.36)  ; 31
+          ( -128.44   -74.83    -5.90     1.36)  ; 32
+          ( -128.89   -75.97    -4.88     1.36)  ; 33
+          ( -130.03   -76.26    -4.35     1.14)  ; 34
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+          ( -139.46   -85.52    -1.70     0.91)  ; 43
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+          ( -152.19   -91.55    -3.50     0.91)  ; 50
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+          ( -154.69   -95.29    -2.22     0.91)  ; 53
+          ( -156.28   -95.86    -2.20     0.91)  ; 54
+          ( -158.10   -95.86    -3.05     0.91)  ; 55
+          ( -159.46   -95.86    -3.67     0.91)  ; 56
+          ( -160.60   -96.15    -3.65     0.91)  ; 57
+          ( -161.73   -96.44    -3.62     0.91)  ; 58
+          ( -162.64   -98.16    -2.90     1.14)  ; 59
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+          )  ;  End of markers
+           Normal
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
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+
+      (FilledCircle
+        (Color Green)
+        (Name "Marker 11")
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+      )  ;  End of markers
+       High
+    |
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+
+      (FilledCircle
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+      )  ;  End of markers
+       High
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color Cyan)
+  (Dendrite)
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+  (  -63.36     3.84   -28.10     2.73)  ; 12
+  (
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+    (  -66.32     3.27   -28.47     2.50)  ; 2
+    (
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+      (  -70.86     5.28   -31.95     1.14)  ; 4
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+      (
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+
+        (FilledCircle
+          (Color Cyan)
+          (Name "Marker 11")
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+          (  -76.55     6.71   -32.58     1.14)  ; 7
+          (  -85.18    15.33   -34.22     1.14)  ; 8
+        )  ;  End of markers
+        (
+          (  -95.18    20.79   -35.70     1.14)  ; 1, R-1-1-1-1
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+          ( -131.20    51.03   -47.97     1.14)  ; 28
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+          ( -132.34    53.62   -49.47     1.14)  ; 30
+          ( -133.25    55.34   -49.50     1.14)  ; 31
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+           Normal
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+           Normal
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+            ( -116.12   -68.35   -44.35     1.36)  ; 11
+            ( -115.66   -66.06   -42.40     1.36)  ; 12
+            ( -118.39   -67.49   -45.35     1.36)  ; 13
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+            ( -165.55  -114.61   -66.47     0.91)  ; 23
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+            ( -157.60  -111.74   -65.80     0.91)  ; 25
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+            ( -123.28   -76.11   -45.75     0.91)  ; 53
+            ( -219.41  -128.41   -73.35     0.91)  ; 54
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+            ( -195.55  -132.43   -68.67     0.91)  ; 63
+            ( -193.05  -130.13   -68.28     0.91)  ; 64
+            ( -191.91  -128.98   -67.50     0.91)  ; 65
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+            ( -182.60  -123.81   -68.28     0.91)  ; 67
+            ( -182.60  -126.11   -68.02     0.91)  ; 68
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+            ( -178.28  -124.38   -68.85     0.91)  ; 70
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+            ( -171.23  -119.50   -70.30     0.91)  ; 73
+            ( -170.32  -119.50   -66.88     0.91)  ; 74
+            ( -166.69  -115.48   -67.38     0.91)  ; 75
+          )  ;  End of markers
+           Normal
+        )  ;  End of split
+      |
+        (  -92.95   -19.18   -26.38     0.91)  ; 1, R-1-2-2
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+
+        (FilledCircle
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+          ( -136.44   -63.73   -17.42     0.91)  ; 121
+          ( -137.58   -64.59   -17.40     0.91)  ; 122
+          ( -138.03   -67.18   -18.88     0.91)  ; 123
+          ( -128.94   -52.52   -22.25     0.91)  ; 124
+          ( -125.53   -53.10   -22.25     0.91)  ; 125
+          ( -128.94   -54.82   -23.33     0.91)  ; 126
+          ( -125.08   -55.11   -21.05     0.91)  ; 127
+          ( -126.21   -56.83   -21.32     0.91)  ; 128
+          ( -129.17   -56.55   -22.97     0.91)  ; 129
+          ( -129.85   -57.98   -20.35     0.91)  ; 130
+          ( -129.85   -59.71   -22.77     0.91)  ; 131
+          ( -133.03   -61.72   -20.85     0.91)  ; 132
+          ( -128.94   -61.43   -19.42     0.91)  ; 133
+          ( -130.30   -62.01   -21.40     0.91)  ; 134
+          ( -130.30   -63.44   -21.38     0.91)  ; 135
+          ( -130.76   -64.59   -18.13     0.91)  ; 136
+          ( -133.94   -66.60   -20.33     0.91)  ; 137
+          ( -216.32   -82.73     3.05     0.45)  ; 138
+          ( -216.55   -83.01     3.05     0.45)  ; 139
+          ( -215.64   -85.02     1.07     0.45)  ; 140
+          ( -214.28   -84.16     0.00     0.45)  ; 141
+          ( -217.46   -85.02    -0.15     0.45)  ; 142
+          ( -214.50   -80.43     3.00     0.45)  ; 143
+          ( -209.50   -77.55     2.97     0.45)  ; 144
+          ( -213.14   -80.71     2.55     0.45)  ; 145
+          ( -210.19   -81.86     3.78     0.45)  ; 146
+          ( -206.32   -79.57     3.65     0.45)  ; 147
+          ( -207.46   -81.58     3.65     0.45)  ; 148
+          ( -205.87   -80.71     0.17     0.45)  ; 149
+          ( -207.00   -80.71     0.12     0.45)  ; 150
+          ( -203.82   -79.57     2.13     0.45)  ; 151
+          ( -201.55   -80.14     2.55     0.45)  ; 152
+          ( -206.10   -83.88     1.38     0.45)  ; 153
+          ( -205.19   -85.89     2.97     0.45)  ; 154
+          ( -204.50   -84.45     1.95     0.45)  ; 155
+          ( -203.82   -82.44     2.85     0.45)  ; 156
+          ( -202.69   -84.74     2.50     0.45)  ; 157
+          ( -200.19   -85.02     1.70     0.45)  ; 158
+          ( -198.14   -82.15    -1.27     0.45)  ; 159
+          ( -198.37   -84.74    -0.45     0.45)  ; 160
+          ( -197.69   -83.30     3.27     0.45)  ; 161
+          ( -196.78   -85.89    -1.53     0.45)  ; 162
+          ( -197.00   -84.74     0.50     0.45)  ; 163
+          ( -194.50   -86.46    -0.63     0.45)  ; 164
+          ( -194.50   -85.31    -3.38     0.45)  ; 165
+          ( -193.14   -83.59    -4.03     0.45)  ; 166
+          ( -191.78   -85.02    -3.72     0.45)  ; 167
+          ( -193.37   -86.17    -3.65     0.45)  ; 168
+          ( -192.23   -86.46    -1.05     0.45)  ; 169
+          ( -191.10   -87.04    -4.78     0.45)  ; 170
+          ( -190.41   -84.74    -2.83     0.45)  ; 171
+          ( -189.96   -84.74    -5.42     0.45)  ; 172
+          ( -189.28   -87.61    -7.53     0.45)  ; 173
+          ( -186.78   -87.32    -6.88     0.45)  ; 174
+          ( -185.64   -86.17    -5.37     0.45)  ; 175
+          ( -188.14   -84.74    -7.22     0.45)  ; 176
+          ( -186.55   -82.15    -6.62     0.45)  ; 177
+          ( -188.14   -86.75    -6.15     0.45)  ; 178
+        )  ;  End of markers
+         High
+      )  ;  End of split
+    )  ;  End of split
+  |
+    (  -63.81     2.08   -26.17     1.36)  ; 1, R-2
+    (  -64.04     1.51   -24.25     1.14)  ; 2
+    (  -65.40     0.36   -23.10     0.91)  ; 3
+    (  -67.00    -0.21   -22.50     0.91)  ; 4
+    (  -68.36    -1.08   -21.60     0.91)  ; 5
+    (  -69.72    -1.08   -20.57     0.91)  ; 6
+    (  -71.54    -1.36   -19.85     1.14)  ; 7
+    (  -73.36    -0.50   -19.88     1.14)  ; 8
+    (  -74.95    -0.21   -19.35     0.91)  ; 9
+    (  -75.86     0.07   -19.35     0.91)  ; 10
+    (  -77.00     0.94   -18.60     1.14)  ; 11
+    (  -78.36     1.22   -18.08     1.14)  ; 12
+    (  -80.63     1.51   -18.08     1.14)  ; 13
+    (  -82.45     1.51   -17.80     1.14)  ; 14
+    (  -84.72     2.37   -17.80     1.36)  ; 15
+    (  -86.54     3.81   -17.00     1.14)  ; 16
+    (  -87.90     4.67   -16.35     1.14)  ; 17
+    (  -90.63     4.96   -16.35     1.14)  ; 18
+    (  -92.90     4.96   -16.35     1.36)  ; 19
+    (  -94.72     4.96   -16.65     1.59)  ; 20
+    (  -96.09     4.67   -16.65     1.59)  ; 21
+
+    (FilledCircle
+      (Color Yellow)
+      (Name "Marker 11")
+      (  -94.50     6.11   -14.10     1.59)  ; 1
+      (  -95.63     2.95   -14.20     1.59)  ; 2
+      (  -92.68     6.11   -15.45     1.59)  ; 3
+      (  -91.54     3.81   -19.25     1.59)  ; 4
+      (  -90.63     6.11   -16.80     1.59)  ; 5
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+      (  -84.04     0.36   -17.90     1.59)  ; 7
+      (  -82.45     3.81   -17.92     1.59)  ; 8
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+      (  -75.86    -0.79   -19.67     1.59)  ; 11
+      (  -74.95     1.22   -19.67     1.59)  ; 12
+      (  -72.68    -1.94   -19.82     1.59)  ; 13
+      (  -67.45    -1.94   -22.92     1.59)  ; 14
+      (  -66.54     0.07   -22.65     1.59)  ; 15
+      (  -76.77     1.80   -19.77     1.59)  ; 16
+      (  -95.86     2.08   -16.00     1.59)  ; 17
+      (  -96.31     3.52   -14.18     1.59)  ; 18
+    )  ;  End of markers
+    (
+      (  -97.45     3.81   -15.57     1.36)  ; 1, R-2-1
+      (  -99.04     2.66   -16.92     1.36)  ; 2
+      ( -101.09     1.22   -17.40     1.14)  ; 3
+      ( -103.13     0.07   -17.40     1.14)  ; 4
+      ( -105.18    -0.79   -17.55     1.14)  ; 5
+      ( -106.31    -0.79   -18.42     1.14)  ; 6
+      ( -107.68    -1.36   -18.40     1.14)  ; 7
+      ( -109.72    -1.65   -18.40     1.14)  ; 8
+      ( -110.63    -1.94   -18.40     1.36)  ; 9
+      ( -112.22    -2.80   -18.80     1.36)  ; 10
+      ( -114.50    -3.66   -18.80     1.14)  ; 11
+      ( -116.09    -3.37   -19.60     1.14)  ; 12
+      ( -117.22    -3.66   -19.80     1.14)  ; 13
+      ( -119.04    -3.95   -20.05     1.14)  ; 14
+      ( -120.40    -4.52   -20.05     1.14)  ; 15
+      ( -122.33    -5.37   -18.42     1.36)  ; 16
+      ( -124.38    -5.65   -17.95     1.36)  ; 17
+      ( -125.29    -6.23   -17.50     1.36)  ; 18
+      ( -126.42    -6.51   -17.17     1.36)  ; 19
+      ( -128.47    -6.51   -16.95     1.14)  ; 20
+      ( -129.38    -6.51   -16.30     1.14)  ; 21
+      ( -130.97    -6.51   -16.00     1.14)  ; 22
+      ( -131.88    -7.09   -15.27     1.14)  ; 23
+      ( -133.24    -7.38   -14.80     1.14)  ; 24
+      ( -134.38    -7.66   -14.80     1.14)  ; 25
+      ( -135.29    -8.53   -14.77     1.14)  ; 26
+      ( -136.42    -9.10   -14.77     1.14)  ; 27
+      ( -136.65    -9.96   -14.50     1.14)  ; 28
+      ( -137.33   -10.82   -14.52     1.14)  ; 29
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+      ( -138.24   -12.26   -14.13     1.14)  ; 31
+      ( -139.60   -13.41   -13.80     1.14)  ; 32
+      ( -140.74   -13.70   -13.63     1.14)  ; 33
+      ( -142.10   -13.70   -13.40     1.14)  ; 34
+      ( -143.01   -13.41   -13.25     1.14)  ; 35
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+      ( -148.24   -15.71   -13.70     1.14)  ; 41
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+      ( -150.29   -15.71   -13.70     1.14)  ; 43
+      ( -151.88   -16.00   -14.23     1.14)  ; 44
+      ( -152.33   -16.57   -14.20     1.14)  ; 45
+      ( -153.47   -17.15   -14.32     1.14)  ; 46
+      ( -154.83   -17.15   -14.77     1.14)  ; 47
+      ( -156.20   -16.86   -15.35     1.14)  ; 48
+      ( -157.56   -17.72   -15.35     0.91)  ; 49
+      ( -158.01   -19.44   -15.15     0.91)  ; 50
+      ( -158.70   -20.88   -13.65     0.68)  ; 51
+      ( -159.38   -22.60   -12.30     0.68)  ; 52
+
+      (FilledCircle
+        (Color Yellow)
+        (Name "Marker 11")
+        ( -119.04    -2.22   -19.92     1.14)  ; 1
+        ( -118.59    -4.81   -18.70     1.14)  ; 2
+        ( -119.72    -5.96   -18.70     1.14)  ; 3
+        ( -119.95    -1.65   -17.52     1.14)  ; 4
+        ( -115.63    -2.51   -17.77     1.14)  ; 5
+        ( -117.45    -4.52   -19.15     1.14)  ; 6
+        ( -116.31    -4.52   -20.42     1.14)  ; 7
+        ( -112.90    -5.39   -18.15     1.14)  ; 8
+        ( -111.31    -0.50   -16.95     1.14)  ; 9
+        ( -109.04    -1.94   -18.97     1.14)  ; 10
+        ( -113.13    -1.65   -20.33     1.14)  ; 11
+        ( -104.50    -1.65   -17.85     1.14)  ; 12
+        ( -103.13    -0.50   -18.00     1.14)  ; 13
+        ( -106.77    -0.21   -17.32     1.14)  ; 14
+        ( -108.36     0.07   -17.32     1.14)  ; 15
+        ( -106.09    -2.22   -17.32     1.14)  ; 16
+        ( -105.63     0.65   -16.90     1.14)  ; 17
+        ( -102.68     1.80   -17.75     1.14)  ; 18
+        ( -101.09     0.36   -16.25     1.14)  ; 19
+        (  -99.50     0.94   -17.95     1.14)  ; 20
+        ( -100.40     2.37   -17.67     1.14)  ; 21
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+        ( -111.31    -3.37   -17.95     1.14)  ; 23
+        ( -155.74   -20.59   -16.95     0.68)  ; 24
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+        ( -159.15   -15.13   -14.43     0.68)  ; 28
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+        ( -154.15   -16.00   -16.27     0.68)  ; 31
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+        ( -149.60   -17.72   -11.65     0.68)  ; 33
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+        ( -150.06   -13.98   -16.98     0.68)  ; 35
+        ( -151.88   -15.71   -16.17     0.68)  ; 36
+        ( -148.01   -17.43   -12.40     0.68)  ; 37
+        ( -145.97   -17.72   -12.42     0.68)  ; 38
+        ( -143.92   -17.72   -13.00     0.68)  ; 39
+        ( -144.60   -13.41   -11.15     0.68)  ; 40
+        ( -145.06   -13.98   -12.93     0.68)  ; 41
+        ( -148.92   -14.56   -14.38     0.68)  ; 42
+        ( -148.01   -14.56   -14.38     0.68)  ; 43
+        ( -147.10   -14.56   -12.95     0.68)  ; 44
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+        ( -140.97   -15.13   -12.67     0.68)  ; 46
+        ( -139.38   -14.56   -15.57     0.68)  ; 47
+        ( -138.01   -15.13   -16.57     0.68)  ; 48
+        ( -136.20   -12.84   -18.17     0.68)  ; 49
+        ( -136.65   -13.70   -14.43     0.68)  ; 50
+        ( -136.65   -10.25   -12.50     0.68)  ; 51
+        ( -135.06   -10.25   -13.45     0.68)  ; 52
+        ( -138.24   -13.41   -13.45     0.68)  ; 53
+        ( -137.79    -9.68   -14.60     0.68)  ; 54
+        ( -136.88    -8.81   -14.70     0.68)  ; 55
+        ( -136.42    -7.66   -16.05     0.68)  ; 56
+        ( -136.42    -7.09   -14.40     0.68)  ; 57
+        ( -134.60    -8.81   -14.05     0.68)  ; 58
+        ( -131.88    -8.81   -15.50     0.68)  ; 59
+        ( -129.15    -8.24   -16.65     0.68)  ; 60
+        ( -130.06    -5.65   -17.63     0.68)  ; 61
+        ( -128.92    -6.51   -16.20     0.68)  ; 62
+        ( -127.56    -4.79   -16.30     0.68)  ; 63
+        ( -127.79    -7.38   -17.90     0.68)  ; 64
+        ( -126.20    -8.24   -18.82     0.68)  ; 65
+        ( -126.88    -7.09   -19.30     0.68)  ; 66
+        ( -125.97    -4.22   -17.98     0.68)  ; 67
+        ( -123.70    -7.38   -18.10     0.68)  ; 68
+        ( -123.47    -6.51   -20.25     0.68)  ; 69
+        ( -122.56    -6.51   -20.33     0.68)  ; 70
+        ( -121.65    -6.51   -18.70     0.68)  ; 71
+        ( -118.92    -4.79   -19.23     0.68)  ; 72
+      )  ;  End of markers
+       Normal
+    |
+      (  -97.56     4.98   -15.88     1.59)  ; 1, R-2-2
+      (  -98.70     5.27   -15.05     1.36)  ; 2
+      (  -99.60     5.55   -14.38     1.36)  ; 3
+      ( -100.97     4.98   -14.38     1.14)  ; 4
+      ( -102.10     4.98   -13.92     1.14)  ; 5
+      ( -102.79     5.27   -13.92     1.14)  ; 6
+      ( -103.70     4.98   -13.60     1.14)  ; 7
+      ( -105.29     4.40   -13.63     1.14)  ; 8
+      ( -105.97     4.69   -13.25     1.14)  ; 9
+      ( -107.10     4.98   -12.77     1.14)  ; 10
+      ( -107.79     4.69   -12.27     1.14)  ; 11
+      ( -108.70     5.27   -12.27     1.14)  ; 12
+      ( -110.06     5.27   -12.13     1.14)  ; 13
+      ( -110.97     4.98   -11.58     1.14)  ; 14
+      ( -112.10     5.27   -11.10     1.14)  ; 15
+      ( -113.01     5.27   -11.10     1.14)  ; 16
+      ( -114.60     4.40   -11.05     1.14)  ; 17
+      ( -115.97     4.98   -11.05     1.14)  ; 18
+      ( -116.88     4.69   -11.02     1.14)  ; 19
+      ( -117.79     4.69   -10.90     1.14)  ; 20
+      ( -119.15     4.69   -10.57     1.14)  ; 21
+      ( -119.83     4.98   -10.10     1.14)  ; 22
+      ( -120.74     5.55    -9.50     1.14)  ; 23
+      ( -120.74     5.84    -8.70     1.14)  ; 24
+      ( -120.51     6.13    -7.97     1.14)  ; 25
+      ( -120.51     6.99    -7.43     1.14)  ; 26
+      ( -120.97     8.14    -7.35     1.14)  ; 27
+      ( -121.65     8.43    -6.75     1.14)  ; 28
+      ( -122.79     8.71    -6.73     1.14)  ; 29
+      ( -124.60     9.86    -6.70     1.14)  ; 30
+      ( -126.65    11.01    -6.62     1.36)  ; 31
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+      ( -129.60    12.16    -5.17     1.14)  ; 33
+      ( -130.74    12.45    -4.70     1.14)  ; 34
+      ( -132.33    13.02    -4.13     1.14)  ; 35
+      ( -133.92    13.02    -3.72     0.91)  ; 36
+      ( -134.60    13.02    -3.25     0.91)  ; 37
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+      ( -138.92    19.63    -0.90     0.91)  ; 44
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+      ( -143.47    19.92    -0.90     0.68)  ; 47
+      ( -145.06    19.92    -0.90     0.68)  ; 48
+      ( -145.97    20.78    -0.35     0.91)  ; 49
+      ( -146.88    21.64    -0.35     0.91)  ; 50
+      ( -148.24    21.64    -0.35     0.91)  ; 51
+      ( -150.29    21.93    -0.35     0.91)  ; 52
+      ( -150.97    22.79     0.00     0.68)  ; 53
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+      ( -153.47    23.37     0.52     0.68)  ; 55
+      ( -154.60    23.37     0.90     0.68)  ; 56
+      ( -155.51    23.37     0.85     0.68)  ; 57
+      ( -156.65    23.94     1.20     0.68)  ; 58
+      ( -158.24    24.23     1.45     0.68)  ; 59
+      ( -159.38    23.94     1.90     0.68)  ; 60
+      ( -159.60    23.94     2.13     0.68)  ; 61
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+      ( -160.06    26.82     2.17     0.45)  ; 63
+      ( -159.15    28.54     2.67     0.45)  ; 64
+      ( -158.70    30.84     2.65     0.23)  ; 65
+      ( -158.70    31.41     3.47     0.23)  ; 66
+      ( -159.15    32.28     3.82     0.23)  ; 67
+      ( -160.06    33.14     3.92     0.23)  ; 68
+
+      (FilledCircle
+        (Color Yellow)
+        (Name "Marker 11")
+        ( -158.70    22.22     2.22     0.23)  ; 1
+        ( -160.06    21.36     0.55     0.23)  ; 2
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+        ( -155.29    23.08     2.73     0.23)  ; 7
+        ( -154.38    22.51    -0.05     0.23)  ; 8
+        ( -154.38    21.93    -1.40     0.23)  ; 9
+        ( -153.24    21.64    -1.40     0.23)  ; 10
+        ( -151.42    21.93     0.60     0.23)  ; 11
+        ( -150.74    23.94    -1.50     0.23)  ; 12
+        ( -149.60    23.94    -0.97     0.23)  ; 13
+        ( -149.83    21.07    -0.52     0.23)  ; 14
+        ( -148.24    22.51    -2.83     0.23)  ; 15
+        ( -148.47    20.49    -2.95     0.23)  ; 16
+        ( -146.65    18.20    -0.10     0.23)  ; 17
+        ( -146.20    19.92    -0.10     0.23)  ; 18
+        ( -147.79    19.63    -0.10     0.23)  ; 19
+        ( -144.60    22.51    -1.80     0.23)  ; 20
+        ( -144.83    18.48    -1.35     0.23)  ; 21
+        ( -143.24    18.77    -1.15     0.23)  ; 22
+        ( -144.83    21.07    -1.35     0.23)  ; 23
+        ( -143.70    21.36    -1.55     0.23)  ; 24
+        ( -141.88    19.35    -0.07     0.23)  ; 25
+        ( -140.29    19.06     0.12     0.23)  ; 26
+        ( -141.42    21.64    -1.32     0.23)  ; 27
+        ( -140.29    21.07    -1.50     0.23)  ; 28
+        ( -139.60    17.91    -0.37     0.23)  ; 29
+        ( -139.15    15.61    -1.73     0.23)  ; 30
+        ( -138.92    16.76    -1.75     0.23)  ; 31
+        ( -142.10    21.64    -5.57     0.23)  ; 32
+        ( -136.88    19.06    -2.35     0.23)  ; 33
+        ( -133.92    19.92     1.63     0.23)  ; 34
+        ( -135.97    18.77     2.78     0.23)  ; 35
+        ( -135.51    16.18    -1.65     0.23)  ; 36
+        ( -135.06    17.62    -0.02     0.23)  ; 37
+        ( -136.42    13.02    -4.35     0.23)  ; 38
+        ( -135.51    12.16    -4.38     0.23)  ; 39
+        ( -136.88    13.89    -2.30     0.23)  ; 40
+        ( -133.70    14.46    -4.05     0.23)  ; 41
+        ( -134.15    12.16    -3.97     0.23)  ; 42
+        ( -130.74    13.02    -3.78     0.23)  ; 43
+        ( -131.42    10.44    -5.72     0.23)  ; 44
+        ( -131.20    11.59    -3.57     0.23)  ; 45
+        ( -128.70    10.44    -3.78     0.23)  ; 46
+        ( -129.38    13.60    -7.67     0.23)  ; 47
+        ( -125.97    13.02    -7.53     0.23)  ; 48
+        ( -125.51    11.87    -6.80     0.23)  ; 49
+        ( -128.01    13.31    -5.30     0.23)  ; 50
+        ( -129.83    11.01    -5.63     0.23)  ; 51
+        ( -121.42     6.42    -7.82     0.23)  ; 52
+        ( -122.33     7.28    -7.82     0.23)  ; 53
+        ( -120.97     9.00    -5.97     0.23)  ; 54
+        ( -125.97     7.56    -8.42     0.23)  ; 55
+        ( -126.20     9.29    -7.07     0.23)  ; 56
+        ( -127.10     9.58    -7.15     0.23)  ; 57
+        ( -123.24    11.01    -6.80     0.23)  ; 58
+        ( -119.15     7.56    -8.02     0.23)  ; 59
+        ( -118.92     6.42   -12.02     0.23)  ; 60
+        ( -117.10     6.70   -10.48     0.23)  ; 61
+        ( -115.74     5.84   -10.35     0.23)  ; 62
+        ( -118.47     3.83   -12.02     0.23)  ; 63
+        ( -116.65     4.12   -12.00     0.23)  ; 64
+        ( -114.60     6.13   -14.25     0.23)  ; 65
+        ( -114.38     6.70   -12.10     0.23)  ; 66
+        ( -113.01     6.42   -12.13     0.23)  ; 67
+        ( -113.70     3.54   -10.28     0.23)  ; 68
+        ( -111.20     4.12   -10.30     0.23)  ; 69
+        ( -112.33     4.40   -12.20     0.23)  ; 70
+        ( -110.51     7.28   -12.35     0.23)  ; 71
+        ( -110.06     6.70   -11.40     0.23)  ; 72
+        ( -108.24     7.28   -13.10     0.23)  ; 73
+        ( -111.65     6.13   -10.17     0.23)  ; 74
+        ( -108.24     2.97   -12.07     0.23)  ; 75
+        ( -108.92     3.25   -12.13     0.23)  ; 76
+        ( -107.10     6.99   -14.52     0.23)  ; 77
+        ( -105.51     3.25   -14.25     0.23)  ; 78
+        ( -104.60     3.83   -16.15     0.23)  ; 79
+        ( -106.88     4.12   -13.45     0.23)  ; 80
+        (  -99.83     6.42   -15.50     0.23)  ; 81
+        ( -101.20     6.70   -14.45     0.23)  ; 82
+        ( -103.92     6.13   -14.20     0.23)  ; 83
+        ( -100.51     4.40   -15.27     0.23)  ; 84
+        (  -97.79     6.42   -14.40     0.23)  ; 85
+        ( -101.88     4.69   -14.40     0.23)  ; 86
+        (  -97.56     5.55   -14.97     0.23)  ; 87
+      )  ;  End of markers
+       High
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color Yellow)
+  (Dendrite)
+  (  -27.06     8.42   -20.23     5.68)  ; Root
+  (  -27.06     8.42   -20.23     5.68)  ; 1, R
+  (  -25.92     7.56   -20.23     4.77)  ; 2
+  (  -23.65     6.12   -20.03     2.95)  ; 3
+  (  -22.29     6.12   -18.92     2.95)  ; 4
+  (  -20.47     5.54   -17.52     2.95)  ; 5
+  (  -18.42     5.26   -16.92     2.95)  ; 6
+  (  -16.83     4.68   -16.07     2.73)  ; 7
+  (  -15.01     4.97   -16.05     2.50)  ; 8
+  (  -13.65     5.26   -16.42     2.50)  ; 9
+
+  (FilledCircle
+    (Color Yellow)
+    (Name "Marker 11")
+    (  -16.83     2.38   -16.77     2.50)  ; 1
+  )  ;  End of markers
+  (
+    (  -13.20     5.83   -16.42     1.82)  ; 1, R-1
+    (  -12.29     5.83   -17.30     1.82)  ; 2
+    (
+      (  -11.15     6.41   -18.15     0.91)  ; 1, R-1-1
+      (   -9.79     5.83   -19.67     0.91)  ; 2
+      (   -9.33     4.97   -20.85     0.91)  ; 3
+      (   -7.97     4.11   -20.03     0.91)  ; 4
+      (   -6.83     3.82   -20.50     1.14)  ; 5
+      (   -5.92     4.68   -20.52     1.14)  ; 6
+      (   -5.01     5.26   -20.52     0.91)  ; 7
+      (   -3.65     5.83   -19.00     0.91)  ; 8
+      (   -2.51     5.83   -19.02     1.14)  ; 9
+      (   -1.15     7.56   -18.23     1.14)  ; 10
+      (   -0.01     9.57   -17.38     1.14)  ; 11
+      (    1.80    10.43   -16.67     1.14)  ; 12
+      (    3.17    11.00   -15.22     1.14)  ; 13
+      (    3.85    11.58   -15.27     1.14)  ; 14
+      (    5.67    12.44   -14.55     0.91)  ; 15
+      (    8.17    12.73   -13.92     0.91)  ; 16
+      (   10.21    13.30   -13.55     1.14)  ; 17
+      (   11.80    13.88   -13.38     1.14)  ; 18
+      (   14.30    15.31   -13.38     1.14)  ; 19
+      (   15.21    16.18   -13.77     1.14)  ; 20
+      (   17.26    16.75   -13.18     1.14)  ; 21
+      (   18.85    17.04   -12.02     1.14)  ; 22
+      (   19.99    17.61   -11.25     1.14)  ; 23
+      (   21.08    17.90   -11.93     1.14)  ; 24
+      (   22.90    19.05   -11.22     1.14)  ; 25
+      (   24.49    21.06   -11.22     0.91)  ; 26
+      (   26.76    21.64   -10.92     0.91)  ; 27
+      (   29.26    22.78   -11.63     0.91)  ; 28
+      (   31.53    22.78   -11.37     0.91)  ; 29
+      (   33.58    23.36   -11.35     0.91)  ; 30
+      (   35.62    23.93   -11.58     1.14)  ; 31
+      (   37.67    24.51   -12.98     0.91)  ; 32
+      (   39.26    24.22   -13.02     0.91)  ; 33
+      (   41.08    24.22   -13.82     0.91)  ; 34
+      (   42.67    25.37   -14.95     1.14)  ; 35
+      (   44.49    26.52   -15.68     1.14)  ; 36
+      (   46.76    27.09   -15.88     1.14)  ; 37
+      (   49.03    27.38   -16.38     1.14)  ; 38
+      (   51.99    27.09   -17.05     1.36)  ; 39
+      (   54.71    27.96   -17.98     1.14)  ; 40
+      (   56.30    28.24   -18.52     1.36)  ; 41
+      (   58.12    29.68   -18.90     1.36)  ; 42
+      (   60.40    30.26   -19.55     1.36)  ; 43
+      (   62.21    31.40   -20.03     1.36)  ; 44
+      (   63.68    31.98   -18.38     1.36)  ; 45
+      (   66.18    32.55   -19.20     1.36)  ; 46
+      (   68.00    33.70   -19.95     1.59)  ; 47
+      (   70.27    35.14   -21.05     1.59)  ; 48
+      (   72.32    36.00   -22.57     1.59)  ; 49
+      (   74.36    36.58   -22.53     1.59)  ; 50
+
+      (FilledCircle
+        (Color Yellow)
+        (Name "Marker 11")
+        (   19.76    15.60   -12.57     1.14)  ; 1
+        (   17.71    15.31   -12.75     1.14)  ; 2
+        (   14.08    17.04   -12.83     1.14)  ; 3
+        (   15.67    17.33   -11.95     1.14)  ; 4
+        (   17.03    17.90   -15.22     1.14)  ; 5
+        (   13.62    12.44   -15.45     1.14)  ; 6
+        (   12.94    13.88   -12.57     1.14)  ; 7
+        (    9.99    12.15   -14.38     1.14)  ; 8
+        (    7.49    13.88   -16.13     1.14)  ; 9
+        (    4.53    13.59   -14.32     1.14)  ; 10
+        (    7.26    11.58   -15.92     1.14)  ; 11
+        (   13.17    15.60   -14.02     1.14)  ; 12
+        (    5.21    10.43   -15.52     1.14)  ; 13
+        (    3.17     8.99   -14.52     1.14)  ; 14
+        (    1.80    11.87   -15.55     1.14)  ; 15
+        (    1.35     8.99   -16.95     1.14)  ; 16
+        (   -1.83     8.71   -17.65     1.14)  ; 17
+        (   -0.92    11.29   -18.42     1.14)  ; 18
+        (    0.21     7.27   -19.07     1.14)  ; 19
+        (   -2.29     4.97   -19.45     1.14)  ; 20
+        (   -5.01     3.53   -21.32     1.14)  ; 21
+        (   -7.06     3.53   -19.80     1.14)  ; 22
+        (   62.44    29.11   -16.42     1.36)  ; 23
+        (   60.40    31.98   -16.25     1.36)  ; 24
+        (   59.49    31.40   -16.25     1.36)  ; 25
+        (   59.49    27.67   -17.23     1.36)  ; 26
+        (   61.08    29.39   -19.90     1.36)  ; 27
+        (   59.26    28.82   -17.20     1.36)  ; 28
+        (   54.71    30.83   -19.73     1.36)  ; 29
+        (   56.76    30.26   -19.65     1.36)  ; 30
+        (   57.90    25.95   -19.73     1.36)  ; 31
+        (   57.90    27.38   -18.42     1.36)  ; 32
+        (   54.94    25.66   -19.23     1.36)  ; 33
+        (   53.80    26.23   -15.17     1.36)  ; 34
+        (   53.58    28.82   -16.77     1.36)  ; 35
+        (   55.40    28.82   -18.00     1.36)  ; 36
+        (   55.17    27.96   -15.63     1.36)  ; 37
+        (   51.99    27.96   -14.85     1.36)  ; 38
+        (   49.71    29.97   -16.92     1.36)  ; 39
+        (   50.62    27.96   -14.52     1.36)  ; 40
+        (   48.35    25.66   -13.47     1.36)  ; 41
+        (   51.53    25.95   -17.45     1.36)  ; 42
+        (   50.17    25.95   -17.17     1.36)  ; 43
+        (   45.17    27.96   -15.60     1.36)  ; 44
+        (   44.49    27.38   -14.92     1.36)  ; 45
+        (   45.85    25.08   -14.23     1.36)  ; 46
+        (   47.67    25.37   -15.43     1.36)  ; 47
+        (   44.03    23.93   -14.10     1.36)  ; 48
+        (   42.44    25.95   -14.05     1.36)  ; 49
+        (   42.67    23.07   -14.25     1.36)  ; 50
+        (   38.58    25.66   -12.62     1.36)  ; 51
+        (   35.85    26.23   -11.20     1.36)  ; 52
+        (   34.94    26.23   -15.00     1.36)  ; 53
+        (   36.76    24.80   -14.97     1.36)  ; 54
+        (   37.21    26.81   -14.97     1.36)  ; 55
+        (   35.17    22.21   -14.52     1.36)  ; 56
+        (   34.26    22.78   -14.32     1.36)  ; 57
+        (   34.49    25.37   -12.07     1.36)  ; 58
+        (   32.44    24.80   -10.88     1.36)  ; 59
+        (   32.21    23.65   -10.22     1.36)  ; 60
+        (   33.12    21.92   -12.42     1.36)  ; 61
+        (   30.85    24.22   -11.82     1.36)  ; 62
+        (   30.62    21.35   -10.88     1.36)  ; 63
+        (   28.80    23.93    -9.38     1.36)  ; 64
+        (   28.35    23.07    -9.93     1.36)  ; 65
+        (   27.67    21.35   -11.13     1.36)  ; 66
+        (   28.35    19.91   -12.65     1.36)  ; 67
+        (   24.71    22.21   -13.72     1.36)  ; 68
+        (   24.94    19.34   -12.10     1.36)  ; 69
+        (   23.12    20.49   -12.13     1.36)  ; 70
+        (   22.90    17.61   -12.90     1.36)  ; 71
+        (   20.62    19.05   -12.30     1.36)  ; 72
+        (   21.08    17.04   -11.35     1.36)  ; 73
+        (   19.26    18.19    -9.02     1.36)  ; 74
+        (   39.26    23.07   -14.97     1.36)  ; 75
+        (   72.55    34.28   -22.27     1.59)  ; 76
+        (   72.77    38.30   -22.60     1.59)  ; 77
+        (   71.64    37.44   -22.75     1.59)  ; 78
+        (   71.86    33.99   -19.82     1.59)  ; 79
+        (   70.50    33.99   -19.60     1.59)  ; 80
+        (   66.18    33.42   -17.02     1.59)  ; 81
+        (   67.77    33.70   -18.08     1.59)  ; 82
+        (   69.36    32.27   -19.35     1.59)  ; 83
+        (   63.91    33.42   -16.55     1.59)  ; 84
+        (   62.09    32.55   -16.52     1.59)  ; 85
+        (   64.82    29.97   -20.10     1.59)  ; 86
+        (   64.14    30.83   -18.10     1.59)  ; 87
+        (   67.55    31.40   -19.67     1.59)  ; 88
+        (   71.41    36.29   -19.73     1.59)  ; 89
+      )  ;  End of markers
+      (
+        (   76.18    36.86   -22.85     1.36)  ; 1, R-1-1-1
+        (   78.23    37.73   -23.67     1.36)  ; 2
+        (   79.14    38.59   -23.67     1.36)  ; 3
+        (   80.73    37.73   -23.67     1.36)  ; 4
+        (   81.86    38.59   -23.88     1.36)  ; 5
+        (   83.23    38.88   -23.88     1.59)  ; 6
+        (   84.82    39.45   -24.30     1.59)  ; 7
+        (   85.95    39.45   -24.38     1.59)  ; 8
+        (   88.45    39.16   -24.95     1.36)  ; 9
+        (   90.27    38.88   -25.07     1.36)  ; 10
+        (   92.32    38.59   -25.47     1.14)  ; 11
+        (   95.05    39.45   -25.85     1.14)  ; 12
+        (   97.55    40.02   -27.05     1.14)  ; 13
+        (   99.82    40.31   -27.97     1.36)  ; 14
+        (  101.64    40.89   -28.37     1.36)  ; 15
+        (  103.91    40.31   -27.70     1.36)  ; 16
+        (  106.18    40.31   -28.00     1.36)  ; 17
+        (  108.00    40.31   -28.00     1.36)  ; 18
+        (  109.82    41.17   -27.95     1.36)  ; 19
+        (  111.18    42.32   -27.95     1.14)  ; 20
+        (  113.45    42.61   -29.08     1.14)  ; 21
+        (  116.18    42.04   -29.20     1.14)  ; 22
+        (  117.32    40.89   -30.35     1.14)  ; 23
+        (  118.91    40.89   -31.45     1.14)  ; 24
+        (  120.73    42.32   -31.80     1.14)  ; 25
+        (  122.32    43.18   -32.63     1.14)  ; 26
+        (  124.36    43.76   -32.63     1.14)  ; 27
+        (  125.95    44.91   -33.03     1.14)  ; 28
+        (  128.45    45.48   -33.65     1.14)  ; 29
+        (  130.50    46.06   -34.30     1.14)  ; 30
+        (  133.23    46.63   -35.13     1.14)  ; 31
+        (  134.79    47.77   -35.30     1.36)  ; 32
+        (  136.15    48.34   -36.00     1.36)  ; 33
+        (  138.65    48.63   -36.63     1.36)  ; 34
+        (  140.25    49.49   -37.40     1.36)  ; 35
+        (  141.61    50.64   -38.17     1.14)  ; 36
+        (  142.75    51.79   -38.50     1.14)  ; 37
+        (  143.65    52.08   -39.67     1.14)  ; 38
+        (  145.25    51.50   -40.35     1.36)  ; 39
+        (  146.15    51.22   -40.35     1.36)  ; 40
+        (  147.29    51.22   -40.92     1.36)  ; 41
+        (  149.11    51.22   -40.92     1.36)  ; 42
+        (  150.25    51.79   -41.08     1.36)  ; 43
+        (  150.93    51.50   -41.40     1.36)  ; 44
+        (  152.29    51.22   -41.40     1.36)  ; 45
+        (  153.65    52.65   -41.80     1.36)  ; 46
+        (  155.25    53.23   -43.00     1.14)  ; 47
+        (  156.15    53.23   -43.00     0.91)  ; 48
+        (  158.20    52.37   -43.00     1.36)  ; 49
+        (  159.79    52.37   -43.72     1.36)  ; 50
+        (  161.61    51.79   -44.43     1.14)  ; 51
+        (  163.20    51.22   -45.38     1.36)  ; 52
+        (  164.34    50.35   -45.42     1.14)  ; 53
+        (  166.61    49.78   -46.30     0.91)  ; 54
+        (  168.88    49.20   -46.88     0.91)  ; 55
+        (  170.93    48.34   -47.60     0.91)  ; 56
+        (  172.06    47.48   -48.22     1.14)  ; 57
+        (  173.65    46.04   -48.62     1.14)  ; 58
+        (  175.47    43.46   -49.00     1.14)  ; 59
+        (  175.93    42.31   -49.02     1.14)  ; 60
+        (  178.88    40.87   -49.58     0.91)  ; 61
+        (  179.79    40.01   -50.47     1.36)  ; 62
+        (  180.25    38.86   -50.52     1.59)  ; 63
+        (  180.93    37.14   -51.15     0.91)  ; 64
+        (  182.52    35.41   -51.80     1.14)  ; 65
+        (  185.25    33.69   -52.37     0.68)  ; 66
+        (  187.75    32.54   -53.10     0.68)  ; 67
+        (  190.47    31.96   -53.38     0.91)  ; 68
+        (  192.29    31.39   -54.17     0.91)  ; 69
+        (  195.25    31.39   -55.17     0.45)  ; 70
+        (  196.61    30.24   -56.17     0.45)  ; 71
+        (  197.06    29.38   -57.22     1.36)  ; 72
+        (  197.75    29.38   -57.22     1.82)  ; 73
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+        (  202.52    26.51   -58.95     0.45)  ; 75
+        (  203.43    25.36   -60.27     0.45)  ; 76
+        (  204.56    24.49   -60.57     0.45)  ; 77
+        (  203.43    24.21   -61.17     0.45)  ; 78
+        (  202.52    24.21   -61.45     0.45)  ; 79
+        (  202.52    25.93   -62.02     0.45)  ; 80
+        (  203.20    25.93   -63.45     0.45)  ; 81
+        (  204.11    25.36   -64.40     0.45)  ; 82
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+        (  207.29    27.65   -67.82     0.45)  ; 85
+
+        (FilledCircle
+          (Color Yellow)
+          (Name "Marker 11")
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+          (   95.95    41.46   -25.52     1.14)  ; 40
+          (   97.09    40.89   -25.55     1.14)  ; 41
+          (   98.23    40.89   -26.35     1.14)  ; 42
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+          (   92.09    37.73   -22.63     1.14)  ; 44
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+          (   94.59    38.59   -25.47     1.14)  ; 47
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+          (   87.77    40.60   -22.53     1.14)  ; 49
+          (   85.50    40.89   -26.92     1.14)  ; 50
+          (   85.27    37.73   -25.83     1.14)  ; 51
+          (   89.59    38.30   -23.85     1.14)  ; 52
+          (   81.86    36.58   -23.50     1.14)  ; 53
+          (   81.64    37.15   -21.77     1.14)  ; 54
+          (   79.82    40.02   -24.35     1.14)  ; 55
+          (   78.45    38.88   -24.25     1.14)  ; 56
+          (   77.77    38.59   -22.32     1.14)  ; 57
+          (   80.73    40.31   -22.90     1.14)  ; 58
+          (   75.73    34.28   -20.25     1.14)  ; 59
+          (   76.41    35.43   -20.67     1.14)  ; 60
+          (   75.05    34.28   -23.13     1.14)  ; 61
+          (   75.95    37.44   -21.72     1.14)  ; 62
+          (  206.15    26.22   -63.30     0.45)  ; 63
+          (  200.47    27.08   -56.65     0.45)  ; 64
+          (  202.75    25.93   -57.02     0.45)  ; 65
+          (  199.56    29.67   -58.00     0.45)  ; 66
+          (  194.79    29.38   -52.70     0.45)  ; 67
+          (  196.61    31.39   -54.27     0.45)  ; 68
+          (  192.97    32.25   -54.63     0.45)  ; 69
+          (  190.25    29.09   -52.63     0.45)  ; 70
+          (  190.70    31.10   -51.63     0.45)  ; 71
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+          (  185.70    32.25   -50.95     0.45)  ; 73
+          (  184.11    35.41   -50.83     0.45)  ; 74
+          (  181.38    35.13   -53.20     0.45)  ; 75
+          (  179.11    38.29   -49.65     0.45)  ; 76
+          (  181.15    39.72   -48.42     0.45)  ; 77
+          (  180.70    38.86   -48.42     0.45)  ; 78
+          (  181.38    38.29   -49.70     0.45)  ; 79
+          (  179.34    42.31   -49.13     0.45)  ; 80
+          (  177.29    43.75   -48.00     0.45)  ; 81
+          (  176.84    40.30   -48.07     0.45)  ; 82
+          (  174.34    43.17   -47.67     0.45)  ; 83
+          (  171.84    44.89   -46.40     0.45)  ; 84
+          (  173.43    45.18   -47.50     0.45)  ; 85
+          (  175.93    46.04   -47.37     0.45)  ; 86
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+          (  173.20    48.63   -46.90     0.45)  ; 88
+          (  172.52    49.20   -47.95     0.45)  ; 89
+          (  170.93    49.49   -47.92     0.45)  ; 90
+          (  168.65    48.06   -47.53     0.45)  ; 91
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+          (  165.25    48.63   -44.60     0.45)  ; 93
+          (  165.47    49.20   -46.57     0.45)  ; 94
+          (  166.84    51.22   -46.00     0.45)  ; 95
+          (  164.11    52.37   -43.10     0.45)  ; 96
+          (  163.20    49.78   -43.97     0.45)  ; 97
+          (  161.15    50.64   -42.02     0.45)  ; 98
+          (  159.79    51.50   -39.70     0.45)  ; 99
+          (  160.93    51.79   -40.32     0.45)  ; 100
+          (  160.25    53.23   -42.72     0.45)  ; 101
+          (  157.97    54.09   -42.92     0.45)  ; 102
+          (  155.70    54.38   -42.60     0.45)  ; 103
+          (  154.56    54.09   -42.55     0.45)  ; 104
+          (  152.52    50.35   -40.77     0.45)  ; 105
+          (  150.25    50.64   -37.55     0.45)  ; 106
+          (  151.61    52.94   -38.10     0.45)  ; 107
+          (  149.79    52.65   -38.07     0.45)  ; 108
+          (  147.52    53.51   -40.15     0.45)  ; 109
+          (  148.43    50.35   -38.30     0.45)  ; 110
+          (  145.47    50.64   -40.40     0.45)  ; 111
+          (  144.56    53.80   -36.78     0.45)  ; 112
+          (  145.70    52.94   -39.65     0.45)  ; 113
+          (  145.02    52.65   -40.75     0.45)  ; 114
+          (  139.11    51.22   -36.38     0.45)  ; 115
+          (  142.52    49.78   -36.80     0.45)  ; 116
+          (  142.06    52.08   -39.20     0.45)  ; 117
+          (  140.93    48.34   -34.92     0.45)  ; 118
+          (  136.84    49.49   -33.85     0.45)  ; 119
+          (  134.34    46.33   -35.47     0.45)  ; 120
+          (  136.38    46.62   -35.38     0.45)  ; 121
+          (  138.20    47.48   -36.55     0.45)  ; 122
+          (  139.34    48.34   -34.05     0.45)  ; 123
+          (  138.65    49.49   -37.32     0.45)  ; 124
+          (  148.88    49.78   -40.45     0.45)  ; 125
+        )  ;  End of markers
+         Normal
+      |
+        (   74.36    37.73   -22.53     1.36)  ; 1, R-1-1-2
+        (   75.05    39.74   -21.72     1.36)  ; 2
+        (   75.27    41.46   -21.75     1.36)  ; 3
+        (   75.27    43.47   -22.27     1.36)  ; 4
+        (   75.05    45.48   -23.10     1.14)  ; 5
+        (   74.82    47.21   -24.17     1.36)  ; 6
+        (   75.05    48.64   -23.92     1.36)  ; 7
+        (   75.50    50.37   -23.98     1.36)  ; 8
+        (   75.27    52.09   -24.62     1.14)  ; 9
+        (   74.14    53.82   -24.62     1.14)  ; 10
+        (   74.36    55.25   -24.97     1.36)  ; 11
+        (   74.59    56.98   -24.80     1.36)  ; 12
+        (   74.59    59.56   -24.82     1.36)  ; 13
+        (   75.73    61.57   -25.38     1.36)  ; 14
+        (   76.41    63.30   -26.20     1.14)  ; 15
+        (   77.09    65.02   -24.80     0.91)  ; 16
+        (   77.77    65.88   -23.10     1.14)  ; 17
+        (   78.00    67.32   -21.75     1.36)  ; 18
+        (   78.45    68.76   -20.35     1.36)  ; 19
+        (   79.14    70.48   -20.87     1.36)  ; 20
+        (   78.91    72.49   -20.87     1.36)  ; 21
+        (   80.27    73.64   -20.87     1.14)  ; 22
+        (   80.73    74.22   -20.87     1.14)  ; 23
+        (   82.09    75.65   -21.92     1.14)  ; 24
+        (   82.77    77.95   -24.02     1.14)  ; 25
+        (   82.53    80.20   -23.47     1.14)  ; 26
+        (   82.07    81.93   -23.50     1.14)  ; 27
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+        (   64.12    91.41   -28.63     0.45)  ; 42
+
+        (FilledCircle
+          (Color Yellow)
+          (Name "Marker 11")
+          (   81.41    78.53   -20.57     1.14)  ; 1
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+          (   78.00    72.78   -19.50     1.14)  ; 13
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+          (   76.86    66.46   -26.67     1.14)  ; 21
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+          (   76.64    52.95   -25.60     1.14)  ; 37
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+          (   76.64    49.51   -20.65     1.14)  ; 40
+          (   73.00    46.63   -25.75     1.14)  ; 41
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+          (   74.14    41.75   -23.47     1.14)  ; 45
+          (   77.32    42.04   -23.50     1.14)  ; 46
+          (   77.09    43.47   -24.92     1.14)  ; 47
+          (   75.50    41.75   -19.75     1.14)  ; 48
+          (   74.82    39.16   -21.48     1.14)  ; 49
+          (   63.89    89.40   -26.30     0.45)  ; 50
+          (   66.39    89.69   -25.25     0.45)  ; 51
+          (   65.03    90.83   -22.95     0.45)  ; 52
+          (   65.71    91.98   -26.42     0.45)  ; 53
+          (   68.44    91.12   -23.10     0.45)  ; 54
+          (   69.35    88.25   -26.28     0.45)  ; 55
+          (   71.62    87.96   -22.65     0.45)  ; 56
+          (   72.30    89.97   -22.22     0.45)  ; 57
+          (   74.57    89.69   -23.55     0.45)  ; 58
+          (   74.35    86.52   -23.13     0.45)  ; 59
+          (   73.89    86.81   -24.52     0.45)  ; 60
+          (   75.25    85.66   -25.25     0.45)  ; 61
+          (   75.71    86.24   -22.70     0.45)  ; 62
+          (   76.85    87.96   -23.57     0.45)  ; 63
+          (   76.62    85.09   -25.65     0.45)  ; 64
+          (   77.30    84.80   -25.92     0.45)  ; 65
+          (   79.35    87.67   -23.90     0.45)  ; 66
+          (   78.21    87.10   -23.27     0.45)  ; 67
+          (   79.35    85.09   -22.40     0.45)  ; 68
+          (   79.35    83.65   -22.85     0.45)  ; 69
+          (   81.85    84.80   -22.92     0.45)  ; 70
+          (   80.94    86.81   -25.70     0.45)  ; 71
+          (   82.98    82.79   -24.92     0.45)  ; 72
+          (   83.21    81.93   -23.00     0.45)  ; 73
+          (   81.16    80.78   -24.60     0.45)  ; 74
+          (   81.16    83.36   -22.12     0.45)  ; 75
+          (   84.35    80.78   -26.22     0.45)  ; 76
+          (   80.71    85.66   -26.05     0.45)  ; 77
+        )  ;  End of markers
+         Normal
+      )  ;  End of split
+    |
+      (  -11.15     4.97   -16.00     0.91)  ; 1, R-1-2
+      (  -10.70     3.82   -14.85     0.91)  ; 2
+      (  -10.47     2.96   -13.55     0.91)  ; 3
+      (   -9.56     2.96   -12.57     0.91)  ; 4
+      (   -9.10     3.53   -12.22     0.91)  ; 5
+      (   -7.51     4.40   -11.68     0.91)  ; 6
+      (   -5.92     4.97   -12.07     0.91)  ; 7
+      (   -4.33     5.83   -11.65     0.91)  ; 8
+      (   -3.65     5.83   -11.02     0.91)  ; 9
+      (   -3.42     5.83   -10.35     0.91)  ; 10
+      (   -3.42     4.97   -10.07     1.14)  ; 11
+      (   -3.88     3.82    -9.35     1.36)  ; 12
+      (   -4.33     2.67    -9.27     1.14)  ; 13
+      (   -5.01     1.23    -8.97     0.91)  ; 14
+      (   -4.79    -0.49    -8.42     0.91)  ; 15
+      (   -2.74    -1.64    -8.00     0.91)  ; 16
+      (   -1.38    -1.06    -7.30     0.91)  ; 17
+      (   -0.24    -1.35    -7.38     1.36)  ; 18
+      (    0.67    -0.78    -7.38     0.91)  ; 19
+      (    2.26    -0.78    -6.73     0.68)  ; 20
+      (    2.71    -1.35    -6.65     0.68)  ; 21
+      (    2.49    -2.21    -5.82     0.68)  ; 22
+      (    2.03    -2.79    -5.03     0.68)  ; 23
+      (    1.80    -3.36    -4.20     0.68)  ; 24
+      (    2.49    -3.94    -6.60     0.68)  ; 25
+      (    3.62    -4.22    -5.37     0.68)  ; 26
+
+      (FilledCircle
+        (Color Yellow)
+        (Name "Marker 11")
+        (    4.08    -1.93    -7.77     0.68)  ; 1
+        (   -2.97    -2.50    -7.40     0.68)  ; 2
+        (   -2.97     1.52   -11.85     0.68)  ; 3
+        (   -1.83     2.38   -11.05     0.68)  ; 4
+        (   -6.60     6.69   -12.70     0.68)  ; 5
+        (   -2.74     3.25    -8.68     0.68)  ; 6
+        (   -3.20     1.81    -8.20     0.68)  ; 7
+        (   -7.74     3.53   -13.50     0.68)  ; 8
+      )  ;  End of markers
+      (
+        (    4.08    -4.80    -4.72     0.68)  ; 1, R-1-2-1
+        (    4.08    -5.37    -3.62     0.68)  ; 2
+        (    3.17    -5.37    -3.10     0.68)  ; 3
+        (    1.35    -4.51    -2.65     0.45)  ; 4
+        (    1.35    -3.65    -2.38     0.45)  ; 5
+        (    0.67    -3.08    -1.65     0.45)  ; 6
+        (    0.21    -0.78    -1.67     0.23)  ; 7
+        (    0.21    -0.49    -0.82     0.23)  ; 8
+        (    0.21     0.66     0.00     0.23)  ; 9
+         Normal
+      |
+        (    3.17    -4.51    -3.45     0.68)  ; 1, R-1-2-2
+        (    3.62    -5.37    -2.38     0.68)  ; 2
+        (    4.76    -5.66    -1.58     0.68)  ; 3
+        (    6.80    -5.66    -0.85     0.68)  ; 4
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+
+        (FilledCircle
+          (Color Yellow)
+          (Name "Marker 11")
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+        )  ;  End of markers
+         High
+      )  ;  End of split
+    )  ;  End of split
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+    (  -12.46     2.39   -17.90     1.59)  ; 3
+    (
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+
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+      )  ;  End of markers
+      (
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+
+        (FilledCircle
+          (Color Yellow)
+          (Name "Marker 11")
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+        )  ;  End of markers
+         High
+      |
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+
+        (FilledCircle
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+          (Name "Marker 11")
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+        )  ;  End of markers
+         High
+      )  ;  End of split
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+      (
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+
+        (FilledCircle
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+        )  ;  End of markers
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+
+          (FilledCircle
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+            (   11.56  -152.66   -48.72     0.68)  ; 91
+
+            (FilledCircle
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+              (   24.97  -135.99   -41.42     0.68)  ; 156
+            )  ;  End of markers
+             Normal
+          |
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+              (   43.08   -50.50   -39.22     0.45)  ; 70
+              (   38.53   -49.92   -37.38     0.45)  ; 71
+              (   42.85   -49.06   -38.05     0.45)  ; 72
+              (   40.80   -49.35   -39.63     0.45)  ; 73
+              (   38.53   -43.89   -37.22     0.45)  ; 74
+              (   46.71   -55.96   -42.57     0.45)  ; 75
+            )  ;  End of markers
+             Normal
+          )  ;  End of split
+        |
+          (   10.65   -12.52   -23.05     0.68)  ; 1, R-2-2-1-2
+          (   12.47   -12.81   -21.95     0.68)  ; 2
+          (   13.84   -13.09   -21.55     0.68)  ; 3
+          (   15.43   -13.67   -21.07     0.68)  ; 4
+          (   16.34   -14.82   -20.75     0.91)  ; 5
+          (   18.38   -16.26   -20.75     0.91)  ; 6
+          (   19.52   -16.54   -19.92     1.14)  ; 7
+          (   21.11   -17.40   -19.17     1.36)  ; 8
+          (   22.70   -18.55   -18.82     1.14)  ; 9
+          (   24.75   -19.42   -19.90     1.14)  ; 10
+          (   26.34   -19.99   -20.97     0.91)  ; 11
+          (   28.15   -20.28   -21.70     1.14)  ; 12
+          (   29.75   -20.85   -22.83     1.14)  ; 13
+          (   31.79   -22.29   -23.42     1.14)  ; 14
+          (   33.15   -22.86   -23.82     1.14)  ; 15
+          (   35.20   -23.15   -23.95     1.14)  ; 16
+          (   37.25   -24.01   -23.92     1.14)  ; 17
+          (   39.75   -25.74   -24.48     1.14)  ; 18
+          (   42.02   -26.60   -25.07     1.14)  ; 19
+          (   44.29   -27.75   -24.55     1.14)  ; 20
+          (   46.56   -29.47   -25.38     1.14)  ; 21
+          (   48.61   -30.62   -26.15     1.14)  ; 22
+          (   49.97   -31.20   -26.72     1.14)  ; 23
+          (   52.02   -32.06   -26.05     0.91)  ; 24
+          (   52.70   -33.78   -26.98     0.91)  ; 25
+          (   53.84   -35.51   -26.50     1.14)  ; 26
+          (   55.43   -36.37   -27.27     1.14)  ; 27
+          (   56.34   -37.52   -28.33     1.14)  ; 28
+          (   57.25   -38.38   -29.32     1.14)  ; 29
+          (   57.70   -40.10   -29.17     1.36)  ; 30
+          (   59.06   -40.68   -30.60     1.59)  ; 31
+          (   60.43   -42.40   -31.38     1.36)  ; 32
+          (   62.02   -43.26   -32.22     1.36)  ; 33
+          (   63.84   -43.84   -33.05     1.36)  ; 34
+          (   64.90   -44.94   -31.38     1.59)  ; 35
+          (   66.04   -45.52   -31.58     2.05)  ; 36
+          (   66.50   -46.38   -32.65     2.05)  ; 37
+          (   68.09   -47.81   -32.13     1.36)  ; 38
+          (   69.45   -49.25   -32.67     0.91)  ; 39
+          (   69.90   -50.11   -33.38     1.14)  ; 40
+          (   69.90   -51.26   -34.02     1.59)  ; 41
+          (   70.36   -52.99   -35.02     1.36)  ; 42
+          (   70.59   -53.85   -35.55     1.36)  ; 43
+          (   72.40   -55.00   -36.00     1.36)  ; 44
+          (   74.22   -56.43   -36.85     1.36)  ; 45
+          (   74.68   -57.58   -37.30     1.82)  ; 46
+          (   75.36   -58.45   -37.45     2.05)  ; 47
+          (   76.04   -60.17   -38.25     2.05)  ; 48
+          (   77.40   -62.47   -39.20     1.82)  ; 49
+          (   79.22   -64.77   -40.00     1.82)  ; 50
+          (   81.04   -67.07   -39.78     1.59)  ; 51
+          (   83.31   -69.65   -39.97     1.59)  ; 52
+          (   85.13   -71.38   -40.25     1.36)  ; 53
+          (   86.27   -71.95   -39.30     1.82)  ; 54
+          (   86.95   -72.24   -38.10     2.05)  ; 55
+          (   87.40   -73.39   -36.82     1.59)  ; 56
+          (   88.31   -74.82   -36.20     1.36)  ; 57
+          (   90.13   -76.55   -35.70     1.14)  ; 58
+          (   92.18   -77.70   -35.33     1.36)  ; 59
+          (   94.00   -79.13   -34.38     1.36)  ; 60
+          (   95.13   -80.57   -33.92     1.14)  ; 61
+          (   96.72   -82.29   -33.92     0.91)  ; 62
+          (   97.63   -83.44   -34.47     1.59)  ; 63
+          (   97.76   -84.31   -33.07     1.59)  ; 64
+          (   99.12   -85.75   -33.07     1.36)  ; 65
+          (  100.26   -87.76   -33.07     1.14)  ; 66
+          (  100.49   -89.20   -32.13     1.14)  ; 67
+          (  100.94   -91.21   -31.52     0.91)  ; 68
+          (  101.62   -92.93   -30.95     0.91)  ; 69
+          (  101.85   -94.66   -30.95     0.91)  ; 70
+          (  102.08   -95.81   -30.95     0.91)  ; 71
+          (  103.90   -98.10   -30.77     0.91)  ; 72
+          (  105.03   -99.83   -30.70     0.91)  ; 73
+          (  106.17  -101.26   -30.70     1.14)  ; 74
+          (  106.85  -103.56   -31.17     0.91)  ; 75
+          (  108.44  -104.71   -31.27     0.91)  ; 76
+          (  109.35  -106.15   -31.82     0.91)  ; 77
+          (  109.58  -107.59   -32.30     0.91)  ; 78
+          (  110.26  -108.45   -32.38     1.14)  ; 79
+          (  112.99  -109.31   -33.17     0.68)  ; 80
+          (  113.90  -111.03   -33.30     0.68)  ; 81
+          (  114.12  -112.18   -33.57     0.68)  ; 82
+          (  114.58  -113.91   -33.88     0.68)  ; 83
+          (  115.26  -115.63   -32.67     0.45)  ; 84
+          (  115.26  -116.49   -30.92     0.45)  ; 85
+          (  115.26  -117.64   -29.80     0.45)  ; 86
+          (  115.71  -119.08   -28.35     0.45)  ; 87
+
+          (FilledCircle
+            (Color Yellow)
+            (Name "Marker 11")
+            (   61.79   -41.25   -31.82     1.36)  ; 1
+            (   63.61   -42.98   -33.27     1.36)  ; 2
+            (   61.79   -42.69   -33.27     1.36)  ; 3
+            (   63.38   -41.83   -32.58     1.36)  ; 4
+            (   63.15   -44.99   -33.33     1.36)  ; 5
+            (   61.11   -44.99   -31.55     1.36)  ; 6
+            (   59.97   -43.84   -29.65     1.36)  ; 7
+            (   63.15   -44.41   -30.00     1.36)  ; 8
+            (   61.56   -40.97   -31.55     1.36)  ; 9
+            (   59.52   -41.83   -29.08     1.36)  ; 10
+            (   56.34   -41.54   -29.17     1.36)  ; 11
+            (   57.70   -40.97   -29.25     1.36)  ; 12
+            (   57.25   -39.82   -26.58     1.36)  ; 13
+            (   58.38   -37.80   -29.32     1.36)  ; 14
+            (   55.88   -39.53   -28.82     1.36)  ; 15
+            (   55.43   -38.67   -27.97     1.36)  ; 16
+            (   54.29   -37.80   -26.52     1.36)  ; 17
+            (   57.02   -36.66   -27.12     1.36)  ; 18
+            (   54.75   -35.22   -25.97     1.36)  ; 19
+            (   55.43   -36.08   -29.80     1.36)  ; 20
+            (   51.56   -34.64   -24.65     1.36)  ; 21
+            (   51.34   -33.21   -24.02     1.36)  ; 22
+            (   51.34   -29.76   -25.55     1.36)  ; 23
+            (   50.43   -29.76   -25.57     1.36)  ; 24
+            (   49.75   -29.18   -25.73     1.36)  ; 25
+            (   48.38   -28.90   -25.77     1.36)  ; 26
+            (   49.29   -32.35   -25.30     1.36)  ; 27
+            (   47.70   -31.48   -26.70     1.36)  ; 28
+            (   51.56   -31.48   -24.40     1.36)  ; 29
+            (   45.88   -30.91   -24.72     1.36)  ; 30
+            (   47.02   -31.48   -25.10     1.36)  ; 31
+            (   45.20   -30.05   -24.15     1.36)  ; 32
+            (   46.34   -28.04   -23.63     1.36)  ; 33
+            (   46.11   -27.17   -23.33     1.36)  ; 34
+            (   42.93   -27.75   -21.52     1.36)  ; 35
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+            (   39.75   -27.17   -22.10     1.36)  ; 37
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+            (   33.84   -24.59   -21.28     1.36)  ; 39
+            (   32.93   -23.73   -21.28     1.36)  ; 40
+            (   34.29   -24.30   -23.10     1.36)  ; 41
+            (   35.20   -24.88   -22.73     1.36)  ; 42
+            (   34.52   -21.14   -24.97     1.36)  ; 43
+            (   35.43   -22.00   -22.40     1.36)  ; 44
+            (   37.25   -25.16   -23.10     1.36)  ; 45
+            (   33.15   -20.57   -22.73     1.36)  ; 46
+            (   32.70   -19.99   -22.73     1.36)  ; 47
+            (   32.02   -20.57   -23.17     1.36)  ; 48
+            (   31.56   -24.30   -23.02     1.36)  ; 49
+            (   31.34   -23.15   -23.95     1.36)  ; 50
+            (   28.84   -21.71   -21.15     1.36)  ; 51
+            (   30.43   -22.29   -21.63     1.36)  ; 52
+            (   27.02   -21.71   -20.52     1.36)  ; 53
+            (   27.70   -18.84   -20.52     1.36)  ; 54
+            (   29.75   -20.28   -22.97     1.36)  ; 55
+            (   26.79   -19.99   -23.70     1.36)  ; 56
+            (   25.88   -18.27   -19.92     1.36)  ; 57
+            (   22.25   -19.42   -18.88     1.36)  ; 58
+            (   24.06   -17.40   -19.13     1.36)  ; 59
+            (   23.38   -17.98   -19.92     1.36)  ; 60
+            (   19.06   -17.40   -16.98     1.36)  ; 61
+            (   19.06   -18.27   -16.98     1.36)  ; 62
+            (   12.93   -14.24   -22.85     1.36)  ; 63
+            (    9.75   -11.66   -23.33     1.36)  ; 64
+            (   11.79   -13.38   -24.00     1.36)  ; 65
+            (   11.11   -11.95   -22.90     1.36)  ; 66
+            (   13.15   -11.95   -23.07     1.36)  ; 67
+            (   15.20   -13.09   -19.27     1.36)  ; 68
+            (   15.65   -15.11   -21.92     1.36)  ; 69
+            (   65.59   -43.22   -30.52     1.59)  ; 70
+            (   66.95   -44.08   -32.90     1.59)  ; 71
+            (   64.90   -45.52   -30.07     1.59)  ; 72
+            (   69.00   -46.67   -30.80     1.59)  ; 73
+            (   68.09   -46.38   -34.63     1.59)  ; 74
+            (   67.40   -47.81   -31.35     1.59)  ; 75
+            (   70.59   -48.96   -31.40     1.59)  ; 76
+            (   71.50   -50.69   -32.77     1.59)  ; 77
+            (   71.27   -51.55   -33.70     1.59)  ; 78
+            (   69.22   -51.55   -34.05     1.59)  ; 79
+            (   69.22   -53.27   -32.77     1.59)  ; 80
+            (   70.13   -53.85   -33.45     1.59)  ; 81
+            (   69.45   -55.57   -35.13     1.59)  ; 82
+            (   71.27   -57.01   -35.05     1.59)  ; 83
+            (   71.95   -52.70   -35.15     1.59)  ; 84
+            (   73.09   -54.14   -35.30     1.59)  ; 85
+            (   75.36   -56.15   -35.80     1.59)  ; 86
+            (   74.22   -58.16   -34.85     1.59)  ; 87
+            (   75.36   -60.17   -37.08     1.59)  ; 88
+            (   75.13   -61.03   -39.35     1.59)  ; 89
+            (   76.04   -61.89   -38.60     1.59)  ; 90
+            (   78.09   -59.88   -39.30     1.59)  ; 91
+            (   76.72   -59.02   -39.32     1.59)  ; 92
+            (   76.50   -57.30   -38.45     1.59)  ; 93
+            (   77.40   -59.31   -38.47     1.59)  ; 94
+            (   78.09   -61.32   -39.00     1.59)  ; 95
+            (   76.95   -67.93   -36.10     1.59)  ; 96
+            (   78.77   -67.07   -36.05     1.59)  ; 97
+            (   77.18   -62.76   -37.72     1.59)  ; 98
+            (   79.22   -63.04   -38.80     1.59)  ; 99
+            (   80.59   -64.19   -38.97     1.59)  ; 100
+            (   78.09   -65.63   -39.50     1.59)  ; 101
+            (   82.63   -67.07   -38.72     1.59)  ; 102
+            (   81.95   -69.94   -38.77     1.59)  ; 103
+            (   81.50   -68.50   -38.77     1.59)  ; 104
+            (   84.68   -67.93   -40.92     1.59)  ; 105
+            (   85.36   -69.65   -39.47     1.59)  ; 106
+            (   84.45   -68.50   -39.47     1.59)  ; 107
+            (   83.31   -71.09   -38.72     1.59)  ; 108
+            (   87.40   -70.51   -39.38     1.59)  ; 109
+            (   89.00   -72.24   -34.90     1.59)  ; 110
+            (   86.95   -75.40   -35.50     1.59)  ; 111
+            (   85.59   -72.53   -37.17     1.59)  ; 112
+            (   90.36   -74.25   -35.22     1.59)  ; 113
+            (   89.22   -75.40   -34.42     1.59)  ; 114
+            (   90.13   -77.70   -33.75     1.59)  ; 115
+            (   91.72   -78.85   -32.92     1.59)  ; 116
+            (   93.09   -76.26   -33.57     1.59)  ; 117
+            (   91.04   -78.27   -37.40     1.59)  ; 118
+            (   94.90   -77.12   -33.03     1.59)  ; 119
+            (   97.63   -80.28   -34.20     1.59)  ; 120
+            (   95.13   -81.43   -33.75     1.59)  ; 121
+            (   97.63   -81.72   -36.10     1.59)  ; 122
+            (  100.81   -83.16   -33.40     1.59)  ; 123
+            (   99.68   -84.59   -33.40     1.59)  ; 124
+            (   99.22   -83.73   -33.40     1.59)  ; 125
+            (   98.54   -82.58   -34.08     1.59)  ; 126
+            (  117.08  -119.08   -28.40     0.45)  ; 127
+            (  116.62  -118.79   -33.03     0.45)  ; 128
+            (  116.85  -117.93   -32.13     0.45)  ; 129
+            (  117.30  -115.06   -34.15     0.45)  ; 130
+            (  116.17  -113.33   -33.33     0.45)  ; 131
+            (  112.30  -115.34   -33.25     0.45)  ; 132
+            (  112.76  -113.33   -33.40     0.45)  ; 133
+            (  115.26  -110.46   -33.60     0.45)  ; 134
+            (  113.21  -111.32   -33.07     0.45)  ; 135
+            (  111.17  -110.46   -33.55     0.45)  ; 136
+            (  111.17  -109.31   -33.35     0.45)  ; 137
+            (  112.76  -107.87   -32.10     0.45)  ; 138
+            (  114.58  -109.02   -32.35     0.45)  ; 139
+            (  113.90  -109.31   -32.38     0.45)  ; 140
+            (  111.40  -107.59   -32.42     0.45)  ; 141
+            (  109.35  -109.02   -30.00     0.45)  ; 142
+            (  108.21  -108.74   -30.00     0.45)  ; 143
+            (  107.99  -107.01   -29.77     0.45)  ; 144
+            (  108.67  -108.74   -32.52     0.45)  ; 145
+            (  110.26  -107.01   -30.02     0.45)  ; 146
+            (  108.90  -104.71   -30.40     0.45)  ; 147
+            (  108.90  -103.56   -32.05     0.45)  ; 148
+            (  106.40  -104.14   -30.10     0.45)  ; 149
+            (  105.26  -102.99   -29.97     0.45)  ; 150
+            (  107.76  -102.41   -29.62     0.45)  ; 151
+            (  107.99  -101.55   -31.17     0.45)  ; 152
+            (  106.62  -100.40   -30.63     0.45)  ; 153
+            (  105.03  -101.26   -30.63     0.45)  ; 154
+            (  105.03  -100.69   -30.63     0.45)  ; 155
+            (  104.58   -98.68   -30.63     0.45)  ; 156
+            (  104.80   -97.82   -33.30     0.45)  ; 157
+            (  103.44   -96.38   -30.63     0.45)  ; 158
+            (  100.94   -95.23   -33.00     0.45)  ; 159
+            (  103.67   -93.51   -33.03     0.45)  ; 160
+            (  100.26   -94.66   -30.15     0.45)  ; 161
+            (   99.80   -92.93   -32.92     0.45)  ; 162
+            (  102.30   -93.51   -32.88     0.45)  ; 163
+            (   98.90   -91.21   -31.15     0.45)  ; 164
+            (   97.76   -90.35   -31.17     0.45)  ; 165
+            (   99.35   -90.06   -33.67     0.45)  ; 166
+            (  102.53   -92.07   -30.65     0.45)  ; 167
+            (  101.40   -87.47   -34.13     0.45)  ; 168
+            (  100.26   -85.17   -34.70     0.45)  ; 169
+            (   99.58   -89.48   -31.35     0.45)  ; 170
+            (   93.21   -80.29   -31.98     0.45)  ; 171
+          )  ;  End of markers
+           Normal
+        )  ;  End of split
+      |
+        (   -4.74    -6.51   -19.42     0.91)  ; 1, R-2-2-2
+        (   -3.15    -7.38   -19.23     0.68)  ; 2
+        (   -1.55    -7.95   -19.97     0.91)  ; 3
+        (    0.26    -8.53   -20.70     0.91)  ; 4
+        (    1.85    -8.53   -21.38     0.91)  ; 5
+        (    3.67    -8.24   -21.92     0.91)  ; 6
+        (    5.04    -8.53   -22.20     0.91)  ; 7
+        (    6.85    -8.81   -22.32     0.91)  ; 8
+        (    8.90    -9.10   -22.57     0.91)  ; 9
+        (   10.72   -10.25   -21.28     0.91)  ; 10
+        (   12.76   -10.54   -20.73     0.91)  ; 11
+        (   14.58    -9.68   -20.73     0.91)  ; 12
+        (   16.17    -9.39   -21.00     1.14)  ; 13
+        (   18.90    -9.68   -20.47     1.14)  ; 14
+        (   21.85   -10.82   -20.20     1.14)  ; 15
+        (   24.81   -11.40   -20.25     1.14)  ; 16
+
+        (FilledCircle
+          (Color Yellow)
+          (Name "Marker 11")
+          (   -3.15    -5.65   -20.83     1.14)  ; 1
+          (    1.40    -9.68   -20.92     1.14)  ; 2
+          (    3.45    -7.09   -20.92     1.14)  ; 3
+          (    4.35    -9.10   -23.40     1.14)  ; 4
+          (    4.81    -9.10   -21.07     1.14)  ; 5
+          (   10.49   -10.82   -23.65     1.14)  ; 6
+          (   12.76   -10.82   -22.57     1.14)  ; 7
+          (   11.40    -8.24   -22.57     1.14)  ; 8
+          (   13.90    -8.24   -19.52     1.14)  ; 9
+          (   13.67   -11.40   -19.92     1.14)  ; 10
+          (   13.67    -8.81   -22.43     1.14)  ; 11
+          (   16.63    -8.81   -19.02     1.14)  ; 12
+          (   16.85   -11.69   -20.35     1.14)  ; 13
+          (   17.76   -10.25   -17.92     1.14)  ; 14
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+          (   18.90   -11.11   -20.45     1.14)  ; 16
+          (   19.58    -8.53   -19.65     1.14)  ; 17
+          (   18.67    -8.24   -19.67     1.14)  ; 18
+          (   22.99    -9.68   -19.60     1.14)  ; 19
+          (   22.54   -11.97   -20.00     1.14)  ; 20
+          (   23.90    -9.96   -19.30     1.14)  ; 21
+          (    7.76   -10.25   -22.38     1.14)  ; 22
+          (   -1.55    -6.80   -20.27     1.14)  ; 23
+        )  ;  End of markers
+        (
+          (   26.14   -12.36   -20.25     1.14)  ; 1, R-2-2-2-1
+          (   27.73   -12.64   -20.65     1.14)  ; 2
+          (   29.32   -13.50   -21.45     1.14)  ; 3
+          (   31.82   -14.08   -22.65     0.91)  ; 4
+          (   34.55   -14.65   -23.07     0.91)  ; 5
+          (   35.91   -15.52   -23.23     0.91)  ; 6
+          (   37.27   -16.38   -23.30     0.91)  ; 7
+          (   38.41   -16.95   -23.88     0.91)  ; 8
+          (   40.23   -17.81   -23.90     0.91)  ; 9
+          (   41.82   -18.68   -24.40     0.91)  ; 10
+          (   42.95   -19.54   -25.20     0.91)  ; 11
+          (   44.09   -20.40   -25.87     0.91)  ; 12
+          (   45.91   -20.98   -26.02     0.91)  ; 13
+          (   46.59   -21.55   -26.55     0.91)  ; 14
+          (   46.59   -22.41   -26.55     0.91)  ; 15
+          (   47.73   -23.27   -26.70     0.91)  ; 16
+          (   49.09   -23.27   -27.25     0.91)  ; 17
+          (   50.91   -23.56   -26.90     0.91)  ; 18
+          (   51.82   -25.00   -27.63     1.14)  ; 19
+          (   53.86   -26.43   -28.05     1.14)  ; 20
+          (   54.55   -28.45   -28.65     1.14)  ; 21
+          (   54.77   -31.32   -28.45     0.91)  ; 22
+          (   55.45   -32.47   -29.65     0.91)  ; 23
+          (   56.82   -33.90   -29.72     0.91)  ; 24
+          (   58.18   -34.77   -30.90     1.14)  ; 25
+          (   60.91   -35.92   -31.67     1.14)  ; 26
+          (   62.50   -36.78   -32.67     0.91)  ; 27
+          (   64.77   -37.35   -32.88     1.14)  ; 28
+          (   67.05   -38.50   -33.55     1.14)  ; 29
+          (   69.77   -39.36   -34.28     1.14)  ; 30
+          (   71.82   -40.23   -34.75     1.36)  ; 31
+          (   73.41   -41.38   -35.22     1.36)  ; 32
+          (   75.23   -42.81   -35.90     1.14)  ; 33
+          (   76.36   -44.54   -36.92     1.14)  ; 34
+          (   78.64   -45.97   -37.25     0.91)  ; 35
+          (   79.77   -47.12   -38.17     0.91)  ; 36
+          (   81.36   -47.98   -38.77     1.36)  ; 37
+          (   83.18   -49.71   -39.42     1.14)  ; 38
+          (   84.55   -50.28   -40.30     1.36)  ; 39
+          (   86.59   -50.57   -40.88     1.36)  ; 40
+          (   88.86   -51.43   -41.45     1.14)  ; 41
+          (   90.91   -52.58   -41.70     1.14)  ; 42
+          (   92.95   -53.16   -42.30     1.14)  ; 43
+          (   94.61   -54.27   -38.85     1.14)  ; 44
+          (   95.75   -55.71   -39.67     1.14)  ; 45
+          (   97.34   -56.86   -40.68     1.14)  ; 46
+          (   99.15   -58.58   -41.42     1.36)  ; 47
+          (  101.20   -60.02   -42.15     1.36)  ; 48
+          (  103.47   -61.17   -42.47     0.91)  ; 49
+          (  104.84   -62.03   -42.55     0.91)  ; 50
+          (  106.88   -62.89   -42.47     1.14)  ; 51
+          (  108.47   -64.04   -43.62     1.14)  ; 52
+          (  110.97   -65.19   -44.35     0.91)  ; 53
+          (  113.02   -66.05   -45.35     0.68)  ; 54
+          (  114.61   -66.63   -45.92     0.91)  ; 55
+          (  115.52   -67.20   -46.97     0.91)  ; 56
+          (  117.11   -68.06   -47.90     1.36)  ; 57
+          (  117.79   -69.21   -48.13     0.91)  ; 58
+          (  118.70   -69.50   -49.00     0.91)  ; 59
+          (  120.29   -69.21   -49.40     1.14)  ; 60
+          (  121.43   -68.35   -50.40     1.14)  ; 61
+          (  122.56   -68.06   -51.82     0.91)  ; 62
+          (  123.25   -68.06   -52.65     0.91)  ; 63
+          (  124.15   -68.06   -53.07     0.68)  ; 64
+          (  124.15   -68.93   -53.85     0.68)  ; 65
+          (  123.25   -69.21   -54.07     0.68)  ; 66
+          (  123.47   -68.35   -55.38     0.68)  ; 67
+          (  124.84   -67.78   -56.63     0.68)  ; 68
+          (  125.97   -68.64   -57.63     0.91)  ; 69
+          (  126.43   -69.50   -58.00     1.14)  ; 70
+          (  127.79   -70.94   -59.42     0.91)  ; 71
+          (  129.15   -72.66   -60.70     0.91)  ; 72
+          (  130.06   -74.38   -62.40     0.91)  ; 73
+          (  130.29   -75.25   -62.82     0.91)  ; 74
+          (  128.70   -77.26   -62.88     0.91)  ; 75
+          (  126.65   -77.26   -63.38     0.68)  ; 76
+          (  125.97   -78.41   -63.55     0.68)  ; 77
+          (  124.38   -79.56   -63.75     0.68)  ; 78
+          (  124.38   -80.71   -64.50     0.68)  ; 79
+          (  124.84   -82.43   -64.82     0.45)  ; 80
+          (  125.75   -84.15   -66.90     0.45)  ; 81
+          (  126.65   -85.30   -67.68     0.45)  ; 82
+          (  127.11   -86.74   -67.72     0.91)  ; 83
+          (  127.11   -89.61   -69.00     0.45)  ; 84
+          (  126.88   -90.76   -70.05     0.45)  ; 85
+          (  126.65   -91.91   -70.05     0.68)  ; 86
+
+          (FilledCircle
+            (Color Yellow)
+            (Name "Marker 11")
+            (   26.36   -13.79   -18.23     1.14)  ; 1
+            (   24.32   -12.64   -17.95     1.14)  ; 2
+            (   25.45   -12.93   -18.42     1.14)  ; 3
+            (   27.73   -13.50   -21.80     1.14)  ; 4
+            (   27.05   -14.37   -20.00     1.14)  ; 5
+            (   25.91   -14.37   -17.88     1.14)  ; 6
+            (   30.68   -15.52   -22.60     1.14)  ; 7
+            (   29.32   -14.08   -19.23     1.14)  ; 8
+            (   31.14   -12.64   -21.77     1.14)  ; 9
+            (   32.05   -14.94   -22.05     1.14)  ; 10
+            (   33.64   -12.93   -21.42     1.14)  ; 11
+            (   35.00   -16.95   -22.15     1.14)  ; 12
+            (   37.50   -15.52   -21.48     1.14)  ; 13
+            (   35.45   -14.08   -22.55     1.14)  ; 14
+            (   36.82   -14.94   -22.60     1.14)  ; 15
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+            (   38.18   -18.96   -22.15     1.14)  ; 18
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+            (   67.05   -39.94   -33.90     1.14)  ; 60
+            (   65.68   -38.79   -32.92     1.14)  ; 61
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+            (   70.23   -42.52   -33.65     1.14)  ; 68
+            (   70.00   -40.51   -36.00     1.14)  ; 69
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+            (   73.41   -42.81   -34.40     1.14)  ; 71
+            (   74.09   -40.80   -34.42     1.14)  ; 72
+            (   75.45   -41.09   -33.92     1.14)  ; 73
+            (   75.45   -41.95   -32.20     1.14)  ; 74
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+            (  126.88   -78.41   -59.35     0.68)  ; 106
+            (  128.47   -77.83   -62.45     0.68)  ; 107
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+            (  130.06   -75.82   -64.90     0.68)  ; 109
+            (  131.65   -74.10   -62.05     0.68)  ; 110
+            (  133.02   -72.09   -61.92     0.68)  ; 111
+            (  129.84   -70.36   -58.07     0.68)  ; 112
+            (  128.70   -70.08   -56.28     0.68)  ; 113
+            (  127.56   -67.49   -55.30     0.68)  ; 114
+            (  123.47   -66.63   -52.92     0.68)  ; 115
+            (  119.84   -68.64   -48.80     0.68)  ; 116
+            (  115.52   -68.64   -47.17     0.68)  ; 117
+            (  116.88   -66.91   -43.53     0.68)  ; 118
+            (  112.34   -67.20   -44.95     0.68)  ; 119
+            (  110.06   -66.05   -44.27     0.68)  ; 120
+            (  107.34   -65.19   -42.35     0.68)  ; 121
+            (  109.84   -63.47   -42.17     0.68)  ; 122
+            (  106.65   -61.74   -41.63     0.68)  ; 123
+            (  107.79   -62.60   -41.50     0.68)  ; 124
+            (  104.61   -63.47   -41.30     0.68)  ; 125
+            (  105.06   -60.88   -41.17     0.68)  ; 126
+            (  100.97   -62.03   -41.30     0.68)  ; 127
+            (  100.97   -57.43   -41.40     0.68)  ; 128
+            (   99.84   -56.28   -42.10     0.68)  ; 129
+            (   98.02   -55.71   -40.80     0.68)  ; 130
+            (   93.25   -52.55   -37.77     0.68)  ; 131
+            (   94.15   -52.26   -38.00     0.68)  ; 132
+            (   94.84   -53.41   -38.17     0.68)  ; 133
+            (   96.43   -53.70   -39.47     0.68)  ; 134
+            (   97.34   -54.56   -38.60     0.68)  ; 135
+            (   95.52   -55.13   -41.77     0.68)  ; 136
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+            (   96.88   -58.01   -40.95     0.68)  ; 138
+            (   99.38   -59.73   -41.25     0.68)  ; 139
+            (  102.34   -59.44   -41.25     0.68)  ; 140
+          )  ;  End of markers
+           Normal
+        |
+          (   25.60   -10.25   -20.50     0.91)  ; 1, R-2-2-2-2
+          (   26.97    -9.96   -21.18     0.91)  ; 2
+          (   28.56    -9.96   -21.70     0.91)  ; 3
+          (   30.38    -9.10   -22.17     0.91)  ; 4
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+          (   34.92    -4.79   -25.60     1.14)  ; 9
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+          (   38.56    -4.50   -27.42     0.91)  ; 11
+          (   40.60    -4.50   -28.23     0.91)  ; 12
+          (   41.97    -4.50   -29.08     1.14)  ; 13
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+          (   46.74    -3.93   -28.77     1.14)  ; 16
+          (   48.33    -3.64   -29.17     1.14)  ; 17
+          (   49.92    -2.20   -29.85     1.14)  ; 18
+          (   51.51    -1.63   -30.63     1.14)  ; 19
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+          (   54.92    -2.49   -33.88     1.36)  ; 22
+          (   55.15    -3.07   -35.47     1.36)  ; 23
+          (   55.83    -3.64   -37.05     1.36)  ; 24
+          (   56.97    -3.93   -38.38     1.36)  ; 25
+          (   58.10    -3.07   -39.88     1.36)  ; 26
+          (   59.70    -2.78   -41.15     1.14)  ; 27
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+          (   66.51    -1.92   -41.97     1.14)  ; 30
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+          (   95.40     0.06   -48.58     1.14)  ; 44
+          (   97.22     0.35   -49.72     1.14)  ; 45
+          (   98.35     0.92   -50.55     1.14)  ; 46
+          (   99.49     1.79   -50.57     1.36)  ; 47
+          (  100.40     2.36   -50.85     1.36)  ; 48
+          (  101.54     2.07   -50.85     1.36)  ; 49
+          (  104.04     2.36   -51.45     1.36)  ; 50
+          (  105.40     2.94   -51.42     1.36)  ; 51
+          (  107.45     3.80   -52.08     1.14)  ; 52
+          (  108.35     3.80   -52.42     1.14)  ; 53
+          (  109.26     3.80   -52.65     1.14)  ; 54
+          (  111.76     3.51   -52.72     1.14)  ; 55
+          (  113.58     3.80   -53.40     1.14)  ; 56
+          (  115.85     4.08   -54.25     1.14)  ; 57
+          (  117.45     4.08   -54.80     1.14)  ; 58
+          (  118.81     4.95   -55.97     1.14)  ; 59
+          (  119.49     5.52   -57.35     1.14)  ; 60
+          (  119.95     7.25   -58.33     1.14)  ; 61
+          (  121.08     8.11   -59.22     1.14)  ; 62
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+          (  121.08    12.70   -60.22     1.14)  ; 64
+          (  121.76    14.43   -60.57     1.14)  ; 65
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+
+          (FilledCircle
+            (Color Yellow)
+            (Name "Marker 11")
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+          )  ;  End of markers
+           Normal
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color Green)
+  (Dendrite)
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+  (  -15.84    10.22   -38.57     2.05)  ; 11
+  (
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+    (   34.10    -9.89   -43.00     1.59)  ; 29
+
+    (FilledCircle
+      (Color Green)
+      (Name "Marker 11")
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+      (  -11.52     7.34   -39.05     1.59)  ; 16
+      (   -8.11     7.92   -39.15     1.59)  ; 17
+    )  ;  End of markers
+    (
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+      (   39.55   -10.76   -47.05     1.14)  ; 4
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+      (   51.37   -14.20   -56.40     1.14)  ; 17
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+      (  150.38   -54.70   -99.63     1.14)  ; 92
+
+      (FilledCircle
+        (Color Yellow)
+        (Name "Marker 11")
+        (   41.82   -10.18   -46.75     0.91)  ; 1
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+        (   77.96   -21.68   -71.20     0.91)  ; 24
+        (   77.50   -24.26   -71.55     0.91)  ; 25
+        (   76.60   -23.40   -70.72     0.91)  ; 26
+        (   79.78   -24.26   -70.75     0.91)  ; 27
+        (   79.78   -21.96   -73.17     0.91)  ; 28
+        (   83.19   -23.11   -75.30     0.91)  ; 29
+        (   84.10   -22.25   -71.72     0.91)  ; 30
+        (   84.32   -28.28   -74.27     0.91)  ; 31
+        (   83.64   -26.56   -74.25     0.91)  ; 32
+        (   88.64   -25.70   -75.92     0.91)  ; 33
+        (   89.10   -28.57   -76.80     0.91)  ; 34
+        (   92.50   -29.72   -78.78     0.91)  ; 35
+        (   91.14   -27.13   -77.82     0.91)  ; 36
+        (   93.62   -27.41   -76.10     1.14)  ; 37
+        (   95.44   -29.42   -77.40     1.14)  ; 38
+        (   97.26   -30.28   -77.63     1.14)  ; 39
+        (   96.35   -28.56   -79.60     1.14)  ; 40
+        (  100.44   -27.69   -78.30     1.14)  ; 41
+        (   99.76   -30.57   -78.02     1.14)  ; 42
+        (  104.08   -30.57   -79.27     1.14)  ; 43
+        (  101.80   -27.98   -79.45     1.14)  ; 44
+        (  103.62   -27.41   -81.07     1.14)  ; 45
+        (  106.12   -28.27   -78.78     1.14)  ; 46
+        (  104.99   -28.56   -79.97     1.14)  ; 47
+        (  106.35   -29.99   -79.90     1.14)  ; 48
+        (  112.49   -32.00   -80.63     1.14)  ; 49
+        (  111.80   -28.84   -79.53     1.14)  ; 50
+        (  113.62   -30.57   -81.30     1.14)  ; 51
+        (  108.17   -29.99   -81.30     1.14)  ; 52
+        (  117.49   -32.58   -83.42     1.14)  ; 53
+        (  115.67   -31.72   -83.50     1.14)  ; 54
+        (  120.67   -30.85   -85.18     1.14)  ; 55
+        (  122.49   -35.16   -85.37     1.14)  ; 56
+        (  120.21   -34.30   -85.95     1.14)  ; 57
+        (  125.21   -33.44   -87.57     1.14)  ; 58
+        (  127.03   -35.16   -87.30     1.14)  ; 59
+        (  124.99   -35.45   -89.75     1.14)  ; 60
+        (  126.12   -33.73   -89.80     1.14)  ; 61
+        (  127.94   -39.47   -89.75     1.14)  ; 62
+        (  129.99   -39.76   -90.40     1.14)  ; 63
+        (  131.12   -38.32   -89.97     1.14)  ; 64
+        (  132.94   -38.90   -91.55     1.14)  ; 65
+        (  133.62   -38.32   -93.50     1.14)  ; 66
+        (  133.85   -42.06   -90.85     1.14)  ; 67
+        (  152.65   -55.85   -97.38     1.14)  ; 68
+        (  151.06   -53.84   -97.38     1.14)  ; 69
+        (  148.79   -49.82   -97.15     1.14)  ; 70
+        (  149.24   -48.96   -93.07     1.14)  ; 71
+        (  148.33   -47.23   -93.42     1.14)  ; 72
+        (  145.15   -45.22   -93.15     1.14)  ; 73
+        (  142.65   -45.51   -91.45     1.14)  ; 74
+        (  140.83   -45.22   -93.47     1.14)  ; 75
+        (  139.70   -44.07   -92.15     1.14)  ; 76
+        (  137.42   -42.92   -94.92     1.14)  ; 77
+        (  137.42   -40.62   -91.67     1.14)  ; 78
+        (  141.06   -43.78   -93.47     1.14)  ; 79
+      )  ;  End of markers
+       Normal
+    |
+      (   35.91   -11.04   -43.00     1.14)  ; 1, R-1-2
+      (   37.96   -12.77   -43.85     1.14)  ; 2
+      (   40.23   -13.63   -43.55     1.14)  ; 3
+      (   42.28   -14.49   -45.35     1.14)  ; 4
+      (   44.10   -15.35   -45.68     1.14)  ; 5
+      (   45.91   -16.22   -46.03     1.14)  ; 6
+      (   48.19   -17.94   -46.45     1.14)  ; 7
+      (   50.46   -18.51   -46.95     1.14)  ; 8
+      (   52.96   -19.66   -47.77     1.14)  ; 9
+      (   54.55   -20.53   -48.60     1.36)  ; 10
+      (   56.14   -21.39   -49.32     1.59)  ; 11
+      (   57.50   -22.25   -50.13     1.82)  ; 12
+      (   59.10   -23.11   -50.17     1.82)  ; 13
+
+      (FilledCircle
+        (Color Green)
+        (Name "Marker 11")
+        (   33.87   -12.19   -43.35     1.82)  ; 1
+        (   35.46   -12.48   -43.35     1.82)  ; 2
+        (   37.73   -15.07   -44.38     1.82)  ; 3
+        (   42.50   -16.22   -45.03     1.82)  ; 4
+        (   39.10   -12.19   -45.85     1.82)  ; 5
+        (   46.14   -14.49   -45.92     1.82)  ; 6
+        (   45.23   -15.07   -43.85     1.82)  ; 7
+        (   48.19   -18.80   -43.62     1.82)  ; 8
+        (   47.28   -18.23   -45.75     1.82)  ; 9
+        (   46.37   -18.80   -46.28     1.82)  ; 10
+        (   45.91   -17.94   -45.60     1.82)  ; 11
+        (   49.55   -19.95   -45.45     1.82)  ; 12
+        (   51.82   -17.65   -45.68     1.82)  ; 13
+        (   52.73   -18.51   -47.28     1.82)  ; 14
+        (   54.78   -18.80   -48.75     1.82)  ; 15
+        (   56.82   -19.95   -47.60     1.82)  ; 16
+        (   55.69   -22.25   -47.33     1.82)  ; 17
+        (   53.19   -21.68   -47.30     1.82)  ; 18
+        (   50.00   -17.94   -45.03     1.82)  ; 19
+        (   37.50   -13.06   -43.97     1.82)  ; 20
+        (   58.19   -21.68   -50.75     1.82)  ; 21
+      )  ;  End of markers
+      (
+        (   60.68   -22.32   -50.30     0.91)  ; 1, R-1-2-1
+        (   62.72   -22.60   -50.68     0.91)  ; 2
+        (   64.31   -23.47   -50.75     0.91)  ; 3
+        (   66.59   -24.04   -51.47     0.91)  ; 4
+        (   69.31   -24.33   -51.97     0.91)  ; 5
+        (   71.81   -25.19   -52.17     0.91)  ; 6
+        (   73.40   -25.48   -52.47     0.91)  ; 7
+        (   75.45   -26.63   -52.92     1.14)  ; 8
+        (   77.72   -27.20   -53.40     0.91)  ; 9
+        (   78.86   -27.49   -53.90     0.91)  ; 10
+        (   80.00   -28.35   -54.30     1.14)  ; 11
+        (   81.59   -29.21   -54.40     1.36)  ; 12
+        (   83.63   -30.36   -55.20     1.14)  ; 13
+        (   85.45   -31.22   -56.00     1.36)  ; 14
+        (   87.50   -31.51   -57.20     0.91)  ; 15
+        (   90.00   -32.08   -57.57     0.91)  ; 16
+        (   92.04   -32.66   -57.57     0.91)  ; 17
+        (   93.40   -33.23   -57.57     0.91)  ; 18
+        (   96.13   -34.38   -57.65     0.68)  ; 19
+        (   98.86   -35.25   -57.67     0.68)  ; 20
+        (  101.13   -36.11   -58.10     0.91)  ; 21
+        (  102.50   -36.68   -58.10     0.91)  ; 22
+        (  104.31   -36.97   -58.10     0.91)  ; 23
+        (  106.81   -37.54   -58.10     0.68)  ; 24
+        (  108.63   -38.12   -57.28     0.91)  ; 25
+        (  110.90   -38.41   -57.30     0.91)  ; 26
+        (  113.86   -38.98   -57.13     0.68)  ; 27
+        (  116.36   -38.12   -56.97     0.91)  ; 28
+        (  118.18   -37.28   -57.65     0.68)  ; 29
+        (  120.45   -36.70   -59.22     0.68)  ; 30
+        (  122.05   -36.13   -59.20     0.91)  ; 31
+        (  123.64   -34.98   -59.87     1.14)  ; 32
+        (  125.23   -34.41   -60.72     0.91)  ; 33
+        (  126.59   -33.26   -60.72     0.91)  ; 34
+        (  127.95   -31.82   -61.35     0.91)  ; 35
+        (  129.55   -30.67   -60.38     0.91)  ; 36
+        (  130.68   -30.10   -60.35     0.91)  ; 37
+        (  132.27   -29.52   -60.35     1.14)  ; 38
+        (  133.41   -28.37   -60.35     1.36)  ; 39
+        (  135.45   -26.65   -60.57     0.91)  ; 40
+        (  137.27   -24.92   -60.57     0.45)  ; 41
+        (  140.23   -23.77   -60.25     0.45)  ; 42
+        (  142.50   -23.77   -61.03     0.68)  ; 43
+        (  144.32   -24.35   -60.90     0.91)  ; 44
+        (  146.36   -25.21   -61.60     0.45)  ; 45
+        (  147.05   -24.92   -61.60     0.45)  ; 46
+        (  148.18   -24.64   -62.55     0.91)  ; 47
+        (  149.32   -24.92   -62.57     0.91)  ; 48
+        (  150.91   -25.50   -63.80     0.91)  ; 49
+        (  152.73   -25.50   -64.97     0.91)  ; 50
+        (  153.41   -25.21   -66.50     0.68)  ; 51
+        (  154.09   -26.07   -67.05     0.45)  ; 52
+
+        (FilledCircle
+          (Color Yellow)
+          (Name "Marker 11")
+          (   61.59   -21.45   -47.40     0.91)  ; 1
+          (   62.50   -23.47   -48.78     0.91)  ; 2
+          (   63.63   -22.32   -48.85     0.91)  ; 3
+          (   67.04   -23.18   -49.17     0.91)  ; 4
+          (   68.63   -25.19   -50.22     0.91)  ; 5
+          (   67.04   -24.90   -49.78     0.91)  ; 6
+          (   69.31   -25.76   -50.40     0.91)  ; 7
+          (   70.22   -24.04   -50.40     0.91)  ; 8
+          (   72.72   -24.04   -51.28     0.91)  ; 9
+          (   75.90   -24.90   -51.30     0.91)  ; 10
+          (   74.54   -24.90   -48.82     0.91)  ; 11
+          (   73.86   -26.63   -52.47     0.91)  ; 12
+          (   77.95   -25.76   -53.25     0.91)  ; 13
+          (   76.13   -25.48   -49.97     0.91)  ; 14
+          (   75.90   -28.06   -51.93     0.91)  ; 15
+          (   77.95   -27.78   -50.35     0.91)  ; 16
+          (   80.68   -29.79   -54.80     0.91)  ; 17
+          (   81.59   -28.06   -53.20     0.91)  ; 18
+          (   81.59   -30.36   -52.60     0.91)  ; 19
+          (   79.54   -26.91   -52.67     0.91)  ; 20
+          (   84.31   -28.92   -53.15     0.91)  ; 21
+          (   84.77   -32.37   -53.18     0.91)  ; 22
+          (   85.00   -32.08   -55.90     0.91)  ; 23
+          (   86.13   -32.66   -55.90     0.91)  ; 24
+          (   83.63   -31.22   -55.75     0.91)  ; 25
+          (   87.04   -30.36   -56.80     0.91)  ; 26
+          (   85.68   -30.07   -55.50     0.91)  ; 27
+          (   90.45   -30.36   -55.70     0.91)  ; 28
+          (   88.86   -32.95   -55.70     0.91)  ; 29
+          (   93.63   -31.80   -55.47     0.91)  ; 30
+          (   92.04   -33.81   -55.57     0.91)  ; 31
+          (   95.68   -34.67   -56.82     0.91)  ; 32
+          (   98.40   -33.81   -56.85     0.91)  ; 33
+          (   96.81   -33.23   -56.85     0.91)  ; 34
+          (   94.31   -30.36   -57.08     0.91)  ; 35
+          (  101.13   -34.38   -58.65     0.91)  ; 36
+          (  101.36   -35.53   -57.22     0.91)  ; 37
+          (  100.68   -36.39   -56.45     0.91)  ; 38
+          (  102.72   -38.41   -57.77     0.91)  ; 39
+          (  104.31   -35.82   -58.30     0.91)  ; 40
+          (  105.68   -38.69   -56.03     0.91)  ; 41
+          (  109.09   -36.68   -58.25     0.91)  ; 42
+          (  106.36   -36.97   -58.62     0.91)  ; 43
+          (  109.09   -38.69   -57.05     0.91)  ; 44
+          (  111.59   -36.39   -57.53     0.91)  ; 45
+          (  111.36   -37.83   -56.22     0.91)  ; 46
+          (  114.54   -40.99   -56.40     0.91)  ; 47
+          (  115.00   -36.97   -57.20     0.91)  ; 48
+          (  116.13   -36.68   -58.82     0.91)  ; 49
+          (  154.77   -27.51   -65.85     0.45)  ; 50
+          (  156.14   -26.65   -65.85     0.45)  ; 51
+          (  155.68   -24.64   -64.57     0.45)  ; 52
+          (  155.00   -26.36   -64.50     0.45)  ; 53
+          (  152.27   -24.06   -64.18     0.45)  ; 54
+          (  149.09   -23.49   -60.17     0.45)  ; 55
+          (  147.27   -27.51   -60.70     0.45)  ; 56
+          (  146.82   -25.21   -63.00     0.45)  ; 57
+          (  147.95   -24.92   -64.78     0.45)  ; 58
+          (  149.09   -23.49   -64.47     0.45)  ; 59
+          (  144.55   -24.92   -59.63     0.45)  ; 60
+          (  140.00   -24.92   -58.38     0.45)  ; 61
+          (  140.45   -24.35   -58.38     0.45)  ; 62
+          (  142.05   -24.35   -58.38     0.45)  ; 63
+          (  142.27   -22.63   -60.15     0.45)  ; 64
+          (  135.91   -24.35   -59.85     0.45)  ; 65
+          (  137.27   -26.36   -58.95     0.45)  ; 66
+          (  131.59   -28.08   -57.00     0.45)  ; 67
+          (  132.73   -27.22   -59.02     0.45)  ; 68
+          (  133.18   -29.52   -62.17     0.45)  ; 69
+          (  135.68   -28.95   -57.82     0.45)  ; 70
+          (  128.18   -30.67   -57.17     0.45)  ; 71
+          (  128.64   -31.25   -59.35     0.45)  ; 72
+          (  131.14   -31.53   -60.25     0.45)  ; 73
+          (  129.77   -32.11   -60.27     0.45)  ; 74
+          (  132.27   -30.96   -60.27     0.45)  ; 75
+          (  128.18   -34.12   -58.95     0.45)  ; 76
+          (  124.32   -33.26   -59.38     0.45)  ; 77
+          (  125.00   -32.39   -60.77     0.45)  ; 78
+          (  126.36   -32.97   -59.07     0.45)  ; 79
+          (  129.77   -33.26   -59.83     0.45)  ; 80
+          (  119.09   -35.56   -59.52     0.45)  ; 81
+          (  118.18   -35.84   -57.25     0.45)  ; 82
+          (  120.45   -37.85   -57.70     0.45)  ; 83
+          (  120.68   -34.98   -57.97     0.45)  ; 84
+          (  122.50   -34.41   -58.00     0.45)  ; 85
+          (  124.32   -35.84   -60.42     0.45)  ; 86
+          (  126.36   -35.84   -60.22     0.45)  ; 87
+        )  ;  End of markers
+         Normal
+      |
+        (   60.23   -24.26   -50.75     1.14)  ; 1, R-1-2-2
+        (   62.05   -25.70   -50.97     1.14)  ; 2
+        (   64.10   -26.56   -51.50     1.14)  ; 3
+        (   66.60   -28.00   -51.93     1.14)  ; 4
+        (   68.41   -29.15   -51.93     0.91)  ; 5
+        (   70.00   -30.58   -52.20     0.91)  ; 6
+        (   72.28   -31.73   -52.55     1.14)  ; 7
+        (   74.32   -33.46   -52.97     1.14)  ; 8
+        (   76.82   -35.75   -53.02     1.14)  ; 9
+        (   78.87   -38.05   -53.53     1.14)  ; 10
+        (   80.46   -39.49   -53.15     1.14)  ; 11
+        (   82.73   -40.93   -53.30     1.14)  ; 12
+        (   84.32   -42.08   -54.13     0.91)  ; 13
+        (   85.85   -42.67   -52.85     1.14)  ; 14
+        (   87.67   -43.82   -53.50     1.14)  ; 15
+        (   89.03   -44.97   -53.90     0.91)  ; 16
+        (   91.30   -46.12   -53.90     0.91)  ; 17
+        (   92.67   -46.98   -54.80     1.14)  ; 18
+        (   93.80   -47.84   -55.57     1.59)  ; 19
+        (   94.71   -48.42   -55.27     1.59)  ; 20
+
+        (FilledCircle
+          (Color Green)
+          (Name "Marker 11")
+          (   64.55   -25.70   -48.80     0.91)  ; 1
+          (   66.60   -26.56   -53.62     0.91)  ; 2
+          (   67.28   -30.01   -52.55     0.91)  ; 3
+          (   68.19   -27.71   -52.20     0.91)  ; 4
+          (   63.87   -27.71   -51.30     0.91)  ; 5
+          (   62.73   -27.42   -51.30     0.91)  ; 6
+          (   69.32   -31.73   -51.25     0.91)  ; 7
+          (   73.41   -30.01   -50.90     0.91)  ; 8
+          (   72.96   -31.44   -50.07     0.91)  ; 9
+          (   72.73   -32.88   -51.08     0.91)  ; 10
+          (   73.64   -33.46   -51.08     0.91)  ; 11
+          (   77.50   -33.46   -50.83     0.91)  ; 12
+          (   78.64   -34.89   -49.70     0.91)  ; 13
+          (   75.91   -36.33   -52.17     0.91)  ; 14
+          (   74.32   -32.02   -52.63     0.91)  ; 15
+          (   75.91   -33.17   -52.65     0.91)  ; 16
+          (   77.05   -34.32   -52.65     0.91)  ; 17
+          (   80.00   -36.04   -52.75     0.91)  ; 18
+          (   77.96   -39.78   -51.90     0.91)  ; 19
+          (   78.87   -37.19   -50.27     0.91)  ; 20
+          (   84.55   -39.78   -50.95     0.91)  ; 21
+          (   85.00   -40.93   -51.57     0.91)  ; 22
+          (   84.10   -42.94   -51.63     0.91)  ; 23
+          (   83.19   -42.36   -51.95     0.91)  ; 24
+          (   80.69   -40.06   -51.40     0.91)  ; 25
+          (   80.69   -41.21   -54.22     0.91)  ; 26
+          (   88.35   -43.82   -55.03     1.59)  ; 27
+          (   85.17   -43.53   -52.85     1.59)  ; 28
+          (   88.80   -46.12   -53.62     1.59)  ; 29
+          (   87.90   -42.67   -51.97     1.59)  ; 30
+          (   93.12   -46.12   -54.70     1.59)  ; 31
+          (   97.44   -47.27   -54.95     1.59)  ; 32
+          (   94.03   -50.43   -54.60     1.59)  ; 33
+          (   94.94   -51.58   -55.03     1.59)  ; 34
+          (   93.12   -49.57   -54.80     1.59)  ; 35
+          (   90.85   -44.68   -53.45     1.59)  ; 36
+        )  ;  End of markers
+        (
+          (   95.90   -49.89   -54.67     0.68)  ; 1, R-1-2-2-1
+          (   97.72   -51.04   -54.67     0.45)  ; 2
+          (   98.40   -52.76   -54.70     0.45)  ; 3
+          (   99.31   -53.62   -55.70     0.68)  ; 4
+          (  100.22   -55.06   -56.20     0.91)  ; 5
+          (  100.90   -55.35   -56.20     0.91)  ; 6
+          (  102.49   -55.63   -56.80     0.68)  ; 7
+          (  104.76   -56.78   -57.22     0.68)  ; 8
+          (  106.58   -57.93   -57.22     0.91)  ; 9
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+
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+            (Color Green)
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+          )  ;  End of markers
+           Normal
+        |
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+          (   99.71   -50.14   -55.75     0.68)  ; 2
+          (  100.85   -49.86   -55.77     0.68)  ; 3
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+
+          (FilledCircle
+            (Color Green)
+            (Name "Marker 11")
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+          )  ;  End of markers
+           Normal
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
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+      (Name "Marker 11")
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+    )  ;  End of markers
+    (
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+
+      (FilledCircle
+        (Color Green)
+        (Name "Marker 11")
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+        (  121.59    31.14   -57.35     1.36)  ; 35
+      )  ;  End of markers
+      (
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+         Normal
+      |
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+        (FilledCircle
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+          (Name "Marker 11")
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+        )  ;  End of markers
+         Normal
+      )  ;  End of split
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+
+      (FilledCircle
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+        (  109.03    72.46   -50.85     0.91)  ; 5
+        (  104.26    72.75   -52.75     0.91)  ; 6
+        (  102.44    70.16   -52.35     0.91)  ; 7
+        (  105.62    68.44   -53.53     0.91)  ; 8
+        (  107.21    69.59   -52.82     0.91)  ; 9
+        (  103.80    69.30   -52.17     0.91)  ; 10
+        (  104.71    70.45   -52.17     0.91)  ; 11
+        (  104.26    67.87   -54.75     0.91)  ; 12
+        (  103.12    66.43   -53.97     0.91)  ; 13
+        (  101.99    64.42   -53.92     0.91)  ; 14
+        (  101.08    66.72   -54.35     0.91)  ; 15
+        (   99.03    64.99   -53.42     0.91)  ; 16
+        (  100.62    65.85   -53.40     0.91)  ; 17
+        (   97.67    62.98   -54.10     0.91)  ; 18
+        (   99.03    63.56   -52.95     0.91)  ; 19
+        (   99.71    60.97   -53.00     0.91)  ; 20
+        (  101.30    61.83   -53.00     0.91)  ; 21
+        (   96.30    61.26   -52.45     0.91)  ; 22
+        (   95.17    59.82   -55.70     0.91)  ; 23
+        (   98.35    59.25   -56.38     0.91)  ; 24
+        (   97.44    58.38   -53.80     0.91)  ; 25
+        (   92.44    57.52   -55.97     0.91)  ; 26
+        (   89.26    53.50   -58.65     0.91)  ; 27
+        (   91.30    54.94   -58.97     0.91)  ; 28
+        (   93.12    53.21   -57.28     0.91)  ; 29
+        (   94.03    54.94   -57.25     0.91)  ; 30
+        (   87.67    48.33   -58.00     0.91)  ; 31
+        (   86.99    46.03   -57.85     0.91)  ; 32
+        (   89.26    45.45   -58.65     0.91)  ; 33
+        (   90.17    47.18   -58.60     0.91)  ; 34
+        (   88.35    44.30   -57.85     0.91)  ; 35
+        (   85.62    39.13   -55.90     0.91)  ; 36
+        (   83.12    42.58   -56.10     0.91)  ; 37
+        (   81.76    32.24   -53.58     0.91)  ; 38
+        (   79.71    31.38   -53.95     0.91)  ; 39
+        (   80.17    31.95   -54.00     0.91)  ; 40
+        (   78.58    30.23   -53.15     0.91)  ; 41
+        (   76.08    32.81   -52.00     0.91)  ; 42
+        (   77.44    31.38   -51.47     0.91)  ; 43
+        (   76.08    31.09   -53.70     0.91)  ; 44
+        (   79.03    33.67   -52.63     0.91)  ; 45
+        (  118.35   107.26   -53.62     0.68)  ; 46
+        (  118.80   108.12   -53.92     0.68)  ; 47
+        (  122.66   108.70   -54.50     0.68)  ; 48
+        (  122.44   107.55   -53.40     0.68)  ; 49
+        (  121.53   108.99   -53.45     0.68)  ; 50
+        (  122.44   106.97   -54.15     0.68)  ; 51
+        (  121.53   105.25   -53.60     0.68)  ; 52
+        (  119.71   104.68   -54.65     0.68)  ; 53
+        (  121.75   102.38   -53.40     0.68)  ; 54
+        (  121.98   101.80   -53.88     0.68)  ; 55
+        (  119.48   100.94   -54.07     0.68)  ; 56
+        (  121.30   107.84   -53.42     0.68)  ; 57
+        (  121.75    99.50   -53.88     0.68)  ; 58
+        (  121.75    98.07   -54.05     0.68)  ; 59
+        (  117.21    96.34   -50.65     0.68)  ; 60
+        (  120.62    95.77   -51.17     0.68)  ; 61
+        (  119.48    99.22   -52.45     0.68)  ; 62
+        (  119.03    92.90   -50.22     0.68)  ; 63
+        (  118.80    91.46   -49.27     0.68)  ; 64
+        (  120.62    92.03   -51.30     0.68)  ; 65
+        (  118.80    90.02   -49.97     0.68)  ; 66
+        (  120.16    90.60   -50.80     0.68)  ; 67
+        (  119.94    86.29   -50.10     0.68)  ; 68
+        (  118.35    87.15   -49.85     0.68)  ; 69
+        (  117.44    86.00   -51.38     0.68)  ; 70
+        (  113.57    81.11   -50.92     0.68)  ; 71
+        (  114.71    77.67   -51.70     0.68)  ; 72
+        (  114.48    77.09   -52.90     0.68)  ; 73
+        (  112.21    78.24   -52.08     0.68)  ; 74
+        (  114.25    80.83   -54.40     0.68)  ; 75
+        (  118.35    83.99   -51.85     0.68)  ; 76
+        (  117.21    82.26   -52.90     0.68)  ; 77
+        (  124.71   112.47   -52.92     0.91)  ; 78
+        (  121.98   112.75   -51.82     0.91)  ; 79
+        (  122.66   110.74   -51.88     0.91)  ; 80
+        (  121.07   110.45   -52.90     0.91)  ; 81
+      )  ;  End of markers
+       Normal
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color Cyan)
+  (Dendrite)
+  (  -38.18     3.45   -40.27     2.95)  ; Root
+  (  -38.18     3.45   -40.27     2.95)  ; 1, R
+  (  -37.50     2.87   -40.25     2.95)  ; 2
+  (  -36.36     1.44   -39.25     2.95)  ; 3
+  (  -36.14     0.86   -39.00     2.95)  ; 4
+  (
+    (  -34.55     0.29   -39.00     1.36)  ; 1, R-1
+    (  -32.95     0.29   -39.60     1.36)  ; 2
+    (  -30.91     0.86   -40.63     1.36)  ; 3
+    (  -28.64     1.44   -41.70     1.36)  ; 4
+    (  -27.05     2.30   -41.77     1.36)  ; 5
+    (  -27.27     3.74   -41.90     1.36)  ; 6
+    (
+      (  -25.45     3.74   -41.90     1.14)  ; 1, R-1-1
+      (  -23.41     3.45   -43.25     1.14)  ; 2
+      (  -21.59     2.59   -43.25     0.91)  ; 3
+      (  -20.00     1.72   -43.70     0.91)  ; 4
+      (  -17.27     1.44   -44.32     0.91)  ; 5
+      (  -13.86    -0.29   -44.60     0.91)  ; 6
+      (  -10.91    -1.44   -45.20     0.91)  ; 7
+      (   -8.41    -3.16   -45.20     0.91)  ; 8
+      (   -7.05    -3.45   -45.30     0.91)  ; 9
+      (   -5.45    -5.17   -45.70     0.91)  ; 10
+      (   -3.64    -5.17   -46.12     0.91)  ; 11
+      (   -1.82    -6.61   -46.12     1.14)  ; 12
+      (    0.68    -8.91   -46.45     1.36)  ; 13
+      (    3.64   -11.21   -46.95     1.14)  ; 14
+      (    5.45   -12.36   -47.63     1.14)  ; 15
+      (    7.50   -12.93   -47.33     1.36)  ; 16
+      (   10.00   -13.50   -48.22     1.36)  ; 17
+      (   12.19   -14.37   -49.32     1.36)  ; 18
+      (   14.00   -15.52   -50.65     1.36)  ; 19
+      (   16.28   -15.52   -51.32     1.36)  ; 20
+      (   17.87   -15.81   -51.35     1.36)  ; 21
+      (   19.46   -15.81   -51.85     1.36)  ; 22
+      (   21.73   -15.52   -52.45     1.14)  ; 23
+      (   24.00   -15.52   -53.85     1.14)  ; 24
+      (   26.28   -14.95   -53.90     1.36)  ; 25
+      (   28.32   -14.95   -55.07     1.14)  ; 26
+      (   30.37   -14.37   -56.17     1.14)  ; 27
+      (   31.96   -15.23   -57.33     1.14)  ; 28
+      (   33.10   -14.66   -58.30     1.14)  ; 29
+      (   33.78   -14.37   -59.60     1.14)  ; 30
+      (   36.05   -14.66   -60.52     1.14)  ; 31
+      (   37.64   -14.95   -61.30     1.14)  ; 32
+      (   39.46   -14.37   -62.22     1.14)  ; 33
+      (   40.60   -13.51   -63.60     1.14)  ; 34
+      (   42.64   -13.22   -65.18     1.36)  ; 35
+      (   45.14   -14.37   -66.20     1.36)  ; 36
+      (   46.73   -14.08   -66.63     1.36)  ; 37
+      (   48.78   -14.95   -67.45     1.36)  ; 38
+      (   49.69   -14.95   -69.27     1.36)  ; 39
+      (   51.05   -14.95   -70.10     1.36)  ; 40
+      (   53.10   -15.81   -70.43     1.36)  ; 41
+      (   54.90   -15.27   -68.93     1.36)  ; 42
+      (   56.72   -14.98   -70.50     1.36)  ; 43
+      (   58.08   -14.40   -70.57     1.36)  ; 44
+      (   58.76   -14.40   -71.00     1.14)  ; 45
+      (   61.26   -15.27   -72.25     1.14)  ; 46
+      (   62.63   -14.98   -73.25     1.14)  ; 47
+      (   63.08   -14.12   -73.97     1.14)  ; 48
+      (   63.31   -13.25   -75.00     1.36)  ; 49
+      (   64.22   -12.97   -76.00     1.36)  ; 50
+      (   65.81   -12.97   -76.70     1.36)  ; 51
+      (   68.08   -12.68   -77.55     1.14)  ; 52
+      (   71.04   -12.97   -76.57     1.14)  ; 53
+      (   73.54   -13.83   -78.90     1.14)  ; 54
+      (   75.81   -14.98   -79.50     1.14)  ; 55
+      (   78.31   -16.42   -79.67     1.14)  ; 56
+      (   80.13   -17.85   -80.57     1.14)  ; 57
+      (   81.95   -18.43   -81.00     1.14)  ; 58
+      (   84.45   -18.71   -81.58     1.14)  ; 59
+      (   87.63   -18.43   -82.40     1.14)  ; 60
+      (   89.74   -17.88   -81.93     1.14)  ; 61
+      (   92.47   -17.59   -83.13     1.14)  ; 62
+      (   95.20   -17.01   -83.30     1.14)  ; 63
+      (   98.38   -17.30   -83.88     0.91)  ; 64
+      (  101.10   -17.88   -82.63     0.91)  ; 65
+      (  104.29   -17.59   -81.67     0.91)  ; 66
+      (  105.88   -17.01   -80.82     0.91)  ; 67
+      (  107.01   -16.73   -80.15     0.91)  ; 68
+      (  109.51   -17.30   -80.18     0.91)  ; 69
+      (  112.01   -17.30   -80.18     0.91)  ; 70
+      (  114.06   -17.30   -80.18     0.91)  ; 71
+      (  116.33   -17.30   -80.18     0.68)  ; 72
+      (  120.20   -17.88   -81.07     0.68)  ; 73
+      (  122.47   -18.45   -81.15     1.14)  ; 74
+      (  124.97   -19.31   -80.25     0.68)  ; 75
+      (  127.01   -21.32   -79.22     0.68)  ; 76
+      (  129.51   -22.19   -78.67     0.45)  ; 77
+
+      (FilledCircle
+        (Color Yellow)
+        (Name "Marker 11")
+        (   10.45   -14.65   -47.70     1.36)  ; 1
+        (    4.32   -12.64   -45.52     1.36)  ; 2
+        (    2.27    -8.62   -45.55     1.36)  ; 3
+        (   -0.91    -5.75   -45.70     1.36)  ; 4
+        (   -0.45    -9.48   -46.55     1.36)  ; 5
+        (    2.73    -8.33   -45.45     1.36)  ; 6
+        (  -11.14    -0.57   -44.07     1.36)  ; 7
+        (   50.37   -13.80   -66.82     1.36)  ; 8
+        (   48.10   -17.53   -64.25     1.36)  ; 9
+        (   43.32   -14.95   -64.38     1.36)  ; 10
+        (   36.96   -13.22   -59.63     1.36)  ; 11
+        (   38.32   -16.10   -59.42     1.36)  ; 12
+        (   34.46   -13.51   -58.60     1.36)  ; 13
+        (   32.19   -16.38   -57.60     1.36)  ; 14
+        (   31.05   -16.38   -54.65     1.36)  ; 15
+        (   24.69   -14.37   -51.38     1.36)  ; 16
+        (   26.50   -16.67   -53.95     1.36)  ; 17
+        (   24.00   -16.67   -53.90     1.36)  ; 18
+        (   21.73   -14.66   -50.10     1.36)  ; 19
+        (   19.00   -17.82   -50.90     1.36)  ; 20
+        (   20.82   -16.38   -50.90     1.36)  ; 21
+        (   15.14   -17.25   -49.90     1.36)  ; 22
+        (    9.69   -14.37   -47.20     1.36)  ; 23
+        (   85.35   -19.29   -80.85     1.14)  ; 24
+        (   82.40   -17.28   -78.85     1.14)  ; 25
+        (   79.22   -16.42   -80.70     1.14)  ; 26
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+        (   74.90   -15.55   -78.90     1.14)  ; 28
+        (   73.08   -15.55   -78.90     1.14)  ; 29
+        (   77.17   -17.28   -78.42     1.14)  ; 30
+        (   80.35   -18.43   -78.42     1.14)  ; 31
+        (   73.08   -12.97   -78.20     1.14)  ; 32
+        (   70.81   -11.82   -78.95     1.14)  ; 33
+        (   68.08   -13.54   -75.95     1.14)  ; 34
+        (   63.76   -11.53   -74.05     1.14)  ; 35
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+        (   60.35   -15.55   -70.32     1.14)  ; 38
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+        (   66.49   -12.39   -74.95     1.14)  ; 40
+        (   63.76   -13.54   -74.97     1.14)  ; 41
+        (   65.35   -13.25   -74.97     1.14)  ; 42
+        (  128.83   -22.19   -79.50     0.45)  ; 43
+        (  127.24   -21.32   -81.05     0.45)  ; 44
+        (  122.70   -17.01   -82.40     0.45)  ; 45
+        (  122.47   -19.31   -82.42     0.45)  ; 46
+        (  121.56   -18.16   -82.57     0.45)  ; 47
+        (  116.79   -16.15   -79.92     0.45)  ; 48
+        (  111.79   -17.88   -80.15     0.45)  ; 49
+        (  113.83   -17.30   -80.15     0.45)  ; 50
+        (  108.15   -17.01   -81.75     0.45)  ; 51
+        (  105.42   -15.58   -81.07     0.45)  ; 52
+        (  107.24   -18.45   -81.40     0.45)  ; 53
+        (  103.15   -17.88   -83.53     0.45)  ; 54
+        (   99.97   -17.01   -82.92     0.45)  ; 55
+        (  100.20   -17.88   -79.55     0.45)  ; 56
+        (   98.15   -15.29   -83.35     0.45)  ; 57
+        (   89.74   -17.01   -82.95     0.45)  ; 58
+        (   88.15   -18.16   -81.50     0.45)  ; 59
+        (   94.06   -17.01   -82.68     0.45)  ; 60
+        (   95.88   -15.86   -82.65     0.45)  ; 61
+        (  103.38   -16.44   -81.85     0.45)  ; 62
+        (  107.24   -16.15   -81.32     0.45)  ; 63
+        (  109.74   -18.74   -80.52     0.45)  ; 64
+        (   99.29   -18.45   -83.60     0.45)  ; 65
+        (   89.51   -19.03   -82.45     0.45)  ; 66
+        (   90.65   -18.16   -83.95     0.45)  ; 67
+        (   97.24   -16.73   -82.70     0.45)  ; 68
+        (  120.65   -17.01   -80.50     0.45)  ; 69
+      )  ;  End of markers
+       Normal
+    |
+      (  -28.41     4.02   -43.53     1.36)  ; 1, R-1-2
+      (  -30.00     4.60   -44.60     1.36)  ; 2
+      (  -32.05     4.02   -45.50     1.36)  ; 3
+      (
+        (  -32.73     4.60   -47.90     0.91)  ; 1, R-1-2-1
+        (  -34.09     6.03   -50.00     0.91)  ; 2
+        (  -35.23     6.32   -51.52     0.91)  ; 3
+        (  -37.05     8.91   -53.25     0.91)  ; 4
+        (  -40.23    11.21   -55.07     0.91)  ; 5
+        (  -42.05    13.50   -56.38     0.91)  ; 6
+        (  -43.86    15.23   -57.88     1.14)  ; 7
+        (  -45.23    17.53   -58.62     1.14)  ; 8
+        (  -47.73    18.10   -59.07     1.14)  ; 9
+        (  -49.32    18.68   -59.72     1.14)  ; 10
+        (  -51.14    20.40   -59.87     1.36)  ; 11
+        (  -52.05    22.99   -60.42     1.36)  ; 12
+        (  -53.41    24.42   -61.17     1.36)  ; 13
+        (  -55.45    25.86   -61.65     1.59)  ; 14
+        (  -56.36    27.30   -62.53     1.59)  ; 15
+        (  -58.64    28.73   -63.10     1.59)  ; 16
+        (  -59.77    29.88   -64.05     1.59)  ; 17
+        (  -61.14    30.74   -65.00     1.59)  ; 18
+        (  -62.27    32.76   -65.82     1.59)  ; 19
+        (  -62.50    34.19   -67.13     1.59)  ; 20
+        (  -62.95    35.34   -68.00     1.59)  ; 21
+        (  -63.86    36.49   -68.85     1.59)  ; 22
+        (  -65.23    36.78   -69.88     1.59)  ; 23
+        (  -67.27    37.35   -71.05     1.36)  ; 24
+        (  -69.09    38.21   -72.15     1.36)  ; 25
+        (  -70.00    39.36   -73.15     1.36)  ; 26
+        (  -71.14    39.94   -74.82     1.36)  ; 27
+        (  -72.73    41.09   -76.35     1.36)  ; 28
+        (  -73.86    39.94   -76.63     1.36)  ; 29
+        (  -72.95    39.36   -77.57     1.36)  ; 30
+        (  -72.27    39.65   -77.93     1.36)  ; 31
+        (  -72.27    40.80   -78.85     1.36)  ; 32
+        (  -73.64    41.95   -79.32     1.36)  ; 33
+        (  -74.77    41.66   -80.33     1.36)  ; 34
+        (  -76.82    41.95   -81.98     1.36)  ; 35
+        (  -77.95    42.52   -83.50     1.36)  ; 36
+        (  -78.18    43.96   -83.77     1.36)  ; 37
+        (  -79.77    46.26   -84.25     1.14)  ; 38
+        (  -80.80    46.84   -84.22     1.14)  ; 39
+        (  -82.84    47.13   -85.47     1.14)  ; 40
+        (  -83.98    47.42   -87.22     1.36)  ; 41
+        (  -85.57    49.14   -88.42     1.36)  ; 42
+        (  -86.93    49.43   -89.72     1.36)  ; 43
+        (  -88.07    49.71   -91.22     1.36)  ; 44
+        (  -88.52    50.58   -92.47     1.36)  ; 45
+        (  -88.30    51.44   -94.75     1.36)  ; 46
+        (  -87.39    52.30   -96.07     1.36)  ; 47
+        (  -87.84    52.88   -97.28     1.36)  ; 48
+        (  -88.75    52.88   -97.72     1.36)  ; 49
+        (  -89.89    52.59   -98.82     1.36)  ; 50
+        (  -90.57    53.16   -99.65     1.36)  ; 51
+        (  -91.48    55.75  -100.00     1.14)  ; 52
+        (  -92.61    57.47  -100.88     1.14)  ; 53
+        (  -94.89    58.91  -100.02     1.14)  ; 54
+        (  -97.61    60.35  -101.27     1.14)  ; 55
+        (  -98.98    61.78  -102.65     1.36)  ; 56
+        ( -100.57    62.07  -103.38     1.36)  ; 57
+        ( -101.25    64.08  -104.52     1.36)  ; 58
+        ( -101.25    65.52  -105.63     1.36)  ; 59
+        ( -102.16    66.67  -105.95     1.36)  ; 60
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+        )  ;  End of markers
+         Normal
+      |
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+          (Color Cyan)
+          (Name "Marker 11")
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+        )  ;  End of markers
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+
+          (FilledCircle
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+          )  ;  End of markers
+           Normal
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+          )  ;  End of markers
+           Normal
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  |
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+    (
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+      (
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+        (  -35.91   -22.70   -42.42     0.91)  ; 4
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+
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+        )  ;  End of markers
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+
+          (FilledCircle
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+          )  ;  End of markers
+           Normal
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+            (  -23.09  -126.13   -33.00     0.68)  ; 99
+            (  -21.95  -128.72   -33.53     0.68)  ; 100
+            (  -24.68  -124.41   -33.38     0.68)  ; 101
+            (  -25.36  -127.85   -29.82     0.68)  ; 102
+            (  -24.23  -130.73   -33.05     0.68)  ; 103
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+            (  -26.27   -93.37   -32.65     1.14)  ; 112
+          )  ;  End of markers
+           Normal
+        )  ;  End of split
+      |
+        (  -33.86   -18.68   -44.13     1.36)  ; 1, R-2-1-2
+        (  -33.64   -20.69   -44.83     1.14)  ; 2
+        (  -34.55   -21.84   -45.20     1.14)  ; 3
+        (  -36.14   -22.70   -45.20     1.14)  ; 4
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+        (  -36.36   -33.90   -47.88     1.36)  ; 10
+        (  -35.91   -35.63   -47.88     1.36)  ; 11
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+        (  -37.73   -41.66   -48.80     1.59)  ; 14
+        (  -39.09   -43.67   -49.40     1.59)  ; 15
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+        (  -40.45   -47.70   -50.65     1.82)  ; 17
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+
+        (FilledCircle
+          (Color Cyan)
+          (Name "Marker 11")
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+        )  ;  End of markers
+        (
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+
+          (FilledCircle
+            (Color Cyan)
+            (Name "Marker 11")
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+          )  ;  End of markers
+           Normal
+        |
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+          (FilledCircle
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+          )  ;  End of markers
+           Normal
+        )  ;  End of split
+      )  ;  End of split
+    |
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+
+      (FilledCircle
+        (Color Cyan)
+        (Name "Marker 11")
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+      )  ;  End of markers
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+
+        (FilledCircle
+          (Color Cyan)
+          (Name "Marker 11")
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+        )  ;  End of markers
+         Normal
+      |
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+          (   23.64    30.37   -97.60     0.91)  ; 28
+        )  ;  End of markers
+         Normal
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
+
+( (Color Yellow)
+  (Apical)
+  (  -39.77    29.88   -24.97     9.55)  ; Root
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+  (  -37.05    45.69   -29.02     7.73)  ; 6
+  (
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+    (  -40.04    48.60   -34.30     1.59)  ; 4
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+    (  -44.35    70.72   -45.97     1.36)  ; 25
+    (  -45.72    71.30   -47.10     1.59)  ; 26
+    (  -47.31    71.30   -48.18     1.59)  ; 27
+    (  -48.67    71.01   -48.40     1.36)  ; 28
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+    (  -50.26    73.02   -50.75     1.36)  ; 31
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+    (  -54.81    77.04   -52.28     1.82)  ; 34
+    (  -56.40    78.19   -52.28     1.82)  ; 35
+    (  -57.31    78.77   -52.30     1.82)  ; 36
+
+    (FilledCircle
+      (Color Yellow)
+      (Name "Marker 11")
+      (  -49.81    75.32   -51.00     1.82)  ; 1
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+      (  -54.58    78.77   -53.25     1.82)  ; 3
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+      (  -42.54    66.99   -43.07     1.82)  ; 8
+      (  -36.17    57.51   -39.82     1.82)  ; 9
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+      (  -38.22    51.76   -34.25     1.82)  ; 12
+      (  -36.40    64.69   -44.13     1.82)  ; 13
+    )  ;  End of markers
+    (
+      (  -58.56    78.77   -53.35     1.36)  ; 1, R-1-1
+      (  -60.15    79.06   -54.17     1.36)  ; 2
+      (  -61.29    80.20   -54.43     1.36)  ; 3
+      (  -62.65    80.78   -54.97     1.36)  ; 4
+      (  -63.10    81.64   -55.57     1.36)  ; 5
+      (  -64.70    82.50   -56.57     1.36)  ; 6
+
+      (FilledCircle
+        (Color Yellow)
+        (Name "Marker 11")
+        (  -63.56    79.34   -54.95     1.36)  ; 1
+        (  -64.70    80.78   -54.92     1.36)  ; 2
+        (  -59.47    77.91   -54.50     1.36)  ; 3
+      )  ;  End of markers
+      (
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+        (  -67.65    82.73   -57.00     1.14)  ; 2
+        (  -68.33    83.01   -57.88     1.14)  ; 3
+        (  -69.01    83.30   -58.50     1.14)  ; 4
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+
+        (FilledCircle
+          (Color Yellow)
+          (Name "Marker 11")
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+          (  -76.28    85.60   -60.88     0.23)  ; 19
+        )  ;  End of markers
+         Normal
+      |
+        (  -65.83    84.51   -55.95     1.14)  ; 1, R-1-1-2
+        (  -67.65    85.38   -56.90     1.14)  ; 2
+        (  -70.15    85.66   -58.05     0.91)  ; 3
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+
+        (FilledCircle
+          (Color Yellow)
+          (Name "Marker 11")
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+          (  -80.60   120.08  -112.70     0.45)  ; 41
+        )  ;  End of markers
+         Normal
+      )  ;  End of split
+    |
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+
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+        (Color Yellow)
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+      )  ;  End of markers
+       Normal
+    )  ;  End of split
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+    (
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+
+      (FilledCircle
+        (Color Yellow)
+        (Name "Marker 11")
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+      )  ;  End of markers
+      (
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+
+        (FilledCircle
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+        )  ;  End of markers
+         Normal
+      |
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+        (  -50.02   137.46    -2.20     0.45)  ; 8
+         Normal
+      )  ;  End of split
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+      (
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+        (   29.07   143.90   -60.95     1.36)  ; 43
+        (   30.89   146.20   -61.72     1.36)  ; 44
+        (   33.16   147.64   -62.75     1.36)  ; 45
+        (   34.98   149.94   -63.67     1.36)  ; 46
+        (   35.55   150.80   -63.20     1.36)  ; 47
+        (   37.14   151.95   -64.13     1.36)  ; 48
+        (   38.28   152.52   -65.38     1.36)  ; 49
+        (   40.32   154.54   -66.10     1.36)  ; 50
+        (   42.14   155.40   -67.17     1.36)  ; 51
+        (   43.05   156.83   -67.72     1.14)  ; 52
+        (   43.96   157.41   -68.32     1.14)  ; 53
+        (   46.69   158.56   -69.05     1.36)  ; 54
+        (   48.50   159.71   -69.88     1.36)  ; 55
+        (   50.78   160.86   -70.97     1.14)  ; 56
+        (   52.60   161.14   -72.00     1.14)  ; 57
+        (   54.19   161.14   -72.97     1.14)  ; 58
+        (   55.78   161.43   -73.02     1.14)  ; 59
+        (   57.14   162.58   -73.75     1.14)  ; 60
+        (   58.96   163.16   -74.80     0.91)  ; 61
+        (   60.78   163.44   -75.57     0.91)  ; 62
+        (   62.14   164.59   -76.45     1.14)  ; 63
+        (   62.60   166.03   -77.15     1.14)  ; 64
+        (   62.60   167.18   -77.45     1.14)  ; 65
+        (   62.82   168.04   -78.32     1.14)  ; 66
+        (   63.50   169.76   -78.53     0.91)  ; 67
+        (   64.19   170.05   -79.35     0.91)  ; 68
+        (   65.10   170.63   -79.57     0.91)  ; 69
+        (   66.00   172.35   -80.07     0.91)  ; 70
+        (   66.91   173.21   -81.03     0.91)  ; 71
+        (   68.05   173.50   -81.80     0.91)  ; 72
+        (   69.41   174.36   -81.98     0.91)  ; 73
+        (   71.23   175.22   -81.98     1.36)  ; 74
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+        (   77.82   176.66   -84.70     0.91)  ; 77
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+        (   87.72   180.65   -87.57     1.59)  ; 83
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+        (   92.04   181.22   -89.00     0.91)  ; 85
+        (   92.72   182.08   -89.50     0.91)  ; 86
+        (   94.31   182.94   -89.97     0.91)  ; 87
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+
+        (FilledCircle
+          (Color Yellow)
+          (Name "Marker 11")
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+          (   84.87   177.81   -86.98     1.14)  ; 3
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+          (   86.81   180.93   -86.72     0.45)  ; 21
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+          (  -13.88    97.93   -36.22     1.36)  ; 40
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+          (    7.25   120.63   -46.22     1.36)  ; 42
+          (    3.16   121.78   -43.82     1.36)  ; 43
+          (    5.21   119.19   -44.85     1.36)  ; 44
+          (    4.30   118.33   -42.85     1.36)  ; 45
+          (    3.85   117.18   -42.47     1.36)  ; 46
+          (    1.35   119.48   -42.65     1.36)  ; 47
+          (    0.21   115.75   -44.07     1.36)  ; 48
+          (   -1.61   112.30   -44.25     1.36)  ; 49
+          (   -2.52   113.73   -41.85     1.36)  ; 50
+          (   -6.38   115.17   -42.33     1.36)  ; 51
+          (   -4.11   113.73   -41.70     1.36)  ; 52
+          (   -5.25   112.87   -39.65     1.36)  ; 53
+          (   -5.93   112.01   -39.25     1.36)  ; 54
+          (   -6.84   110.00   -39.10     1.36)  ; 55
+          (   -7.29   107.41   -38.30     1.36)  ; 56
+          (   -8.43   106.55   -38.30     1.36)  ; 57
+          (   -9.34   112.87   -40.95     1.36)  ; 58
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+          (  -10.47   106.55   -41.17     1.36)  ; 60
+          (   -2.75   117.76   -43.38     1.36)  ; 61
+          (   -2.29   114.60   -44.92     1.36)  ; 62
+          (   -8.20   104.54   -40.17     1.36)  ; 63
+          (   -8.65   100.81   -39.78     1.36)  ; 64
+          (   26.57   141.89   -62.08     1.36)  ; 65
+          (   26.12   140.17   -59.02     1.36)  ; 66
+          (   20.44   139.31   -56.05     1.36)  ; 67
+          (   23.39   139.59   -56.45     1.36)  ; 68
+          (   21.35   134.42   -53.15     1.36)  ; 69
+          (   19.07   137.87   -53.18     1.36)  ; 70
+          (   26.12   137.01   -58.72     1.36)  ; 71
+          (   24.75   138.45   -56.42     1.36)  ; 72
+          (   17.03   134.71   -53.20     1.36)  ; 73
+          (   19.98   132.99   -51.52     1.36)  ; 74
+          (   17.03   132.70   -50.97     1.36)  ; 75
+          (   17.25   129.83   -50.27     1.36)  ; 76
+          (   18.39   134.14   -50.32     1.36)  ; 77
+          (   17.71   130.97   -48.47     1.36)  ; 78
+          (   11.35   127.24   -49.78     1.36)  ; 79
+          (   15.44   129.25   -49.00     1.36)  ; 80
+          (   15.21   125.23   -48.62     1.36)  ; 81
+          (   11.12   126.09   -47.25     1.36)  ; 82
+          (    8.62   125.52   -48.47     1.36)  ; 83
+          (    9.53   122.35   -48.02     1.36)  ; 84
+          (    5.66   123.79   -44.10     1.36)  ; 85
+          (    4.30   122.35   -44.32     1.36)  ; 86
+          (   32.71   150.23   -61.88     1.36)  ; 87
+          (   32.03   147.93   -61.75     1.36)  ; 88
+          (   33.96   150.23   -64.45     1.14)  ; 89
+          (   34.19   151.37   -64.38     1.14)  ; 90
+          (   38.05   153.39   -65.88     1.14)  ; 91
+          (   36.00   151.95   -63.02     1.14)  ; 92
+          (   38.28   151.95   -66.25     1.14)  ; 93
+          (   41.23   155.68   -64.53     1.14)  ; 94
+          (   42.14   154.54   -68.13     1.14)  ; 95
+          (   49.64   158.85   -67.50     1.14)  ; 96
+          (   48.28   158.27   -68.17     1.14)  ; 97
+          (   45.78   158.27   -66.35     1.14)  ; 98
+          (  -25.02    88.16   -32.47     1.36)  ; 99
+          (  -20.02    89.31   -33.60     1.36)  ; 100
+          (  -22.06    86.73   -32.67     1.36)  ; 101
+          (  -22.75    88.45   -34.90     1.36)  ; 102
+          (  -23.65    88.45   -34.90     1.36)  ; 103
+          (  -23.20    86.15   -33.72     1.36)  ; 104
+          (  -16.61    89.31   -36.55     1.36)  ; 105
+          (  -15.93    91.04   -34.97     1.36)  ; 106
+          (  -14.79    92.19   -35.33     1.36)  ; 107
+          (  -19.56    90.75   -34.90     1.36)  ; 108
+        )  ;  End of markers
+         Normal
+      |
+        (  -32.27    84.47   -29.02     5.45)  ; 1, R-2-2-2
+        (  -32.50    86.49   -30.17     5.23)  ; 2
+        (  -32.27    88.21   -31.22     4.77)  ; 3
+        (  -31.82    89.93   -31.22     4.77)  ; 4
+        (
+          (  -34.34    90.91   -31.22     2.73)  ; 1, R-2-2-2-1
+          (  -35.70    91.48   -31.22     2.27)  ; 2
+          (  -37.29    92.35   -32.08     1.59)  ; 3
+          (  -39.56    94.07   -32.02     1.59)  ; 4
+          (  -42.06    94.36   -33.10     1.36)  ; 5
+          (  -44.11    94.64   -33.15     1.36)  ; 6
+          (  -45.47    94.36   -34.08     1.36)  ; 7
+          (  -47.06    94.36   -34.45     1.36)  ; 8
+          (  -48.43    94.07   -34.97     1.36)  ; 9
+          (  -48.88    93.49   -35.72     1.36)  ; 10
+          (  -49.34    93.21   -36.78     1.36)  ; 11
+          (  -49.34    92.06   -37.65     1.36)  ; 12
+          (  -49.56    91.48   -38.50     1.36)  ; 13
+          (  -49.56    90.33   -38.85     1.36)  ; 14
+          (  -49.79    89.18   -39.17     1.36)  ; 15
+          (  -51.15    88.04   -39.67     1.36)  ; 16
+          (  -52.29    87.75   -40.17     1.59)  ; 17
+          (  -53.43    87.75   -40.32     1.59)  ; 18
+          (  -55.25    88.90   -41.30     1.36)  ; 19
+          (  -55.93    89.47   -41.30     1.36)  ; 20
+          (  -57.97    90.33   -41.30     1.59)  ; 21
+          (  -59.56    91.48   -41.90     1.59)  ; 22
+          (  -60.47    92.63   -41.93     1.82)  ; 23
+          (  -62.06    94.36   -42.60     1.82)  ; 24
+          (  -63.88    95.51   -43.45     1.82)  ; 25
+          (  -65.70    96.66   -44.27     1.59)  ; 26
+          (  -67.06    97.23   -45.40     1.59)  ; 27
+          (  -67.97    96.66   -46.80     1.59)  ; 28
+          (  -68.65    96.37   -48.65     1.59)  ; 29
+          (  -68.65    95.22   -47.97     2.05)  ; 30
+          (  -69.11    94.64   -49.43     2.05)  ; 31
+
+          (FilledCircle
+            (Color Yellow)
+            (Name "Marker 11")
+            (  -65.47    97.80   -45.25     2.05)  ; 1
+            (  -63.43    96.94   -43.27     2.05)  ; 2
+            (  -62.29    96.37   -41.35     2.05)  ; 3
+            (  -62.75    92.63   -41.08     2.05)  ; 4
+            (  -61.15    91.77   -39.80     2.05)  ; 5
+            (  -60.25    94.93   -41.63     2.05)  ; 6
+            (  -65.25    95.51   -41.57     2.05)  ; 7
+            (  -58.43    92.63   -40.50     2.05)  ; 8
+            (  -57.29    88.61   -41.73     2.05)  ; 9
+            (  -51.61    86.31   -39.80     2.05)  ; 10
+            (  -53.20    86.60   -39.82     2.05)  ; 11
+            (  -54.11    90.33   -40.03     2.05)  ; 12
+            (  -51.38    90.33   -38.03     2.05)  ; 13
+            (  -48.20    95.79   -34.25     2.05)  ; 14
+            (  -46.38    92.63   -33.80     2.05)  ; 15
+            (  -45.02    92.92   -33.80     2.05)  ; 16
+            (  -46.61    95.51   -32.88     2.05)  ; 17
+            (  -36.61    94.07   -29.85     2.05)  ; 18
+            (  -40.47    92.63   -29.92     2.05)  ; 19
+            (  -45.02    95.51   -33.00     2.05)  ; 20
+          )  ;  End of markers
+          (
+            (  -68.88    94.07   -49.97     1.14)  ; 1, R-2-2-2-1-1
+            (  -70.25    93.21   -51.20     1.14)  ; 2
+            (  -70.70    93.78   -51.72     1.14)  ; 3
+            (  -70.02    95.51   -52.70     1.14)  ; 4
+            (  -70.93    95.51   -52.72     1.14)  ; 5
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+            (  -72.75    96.08   -53.50     1.14)  ; 7
+            (  -73.65    97.23   -53.50     1.36)  ; 8
+            (  -74.11    97.52   -54.45     1.82)  ; 9
+            (  -74.79    98.38   -54.47     2.05)  ; 10
+            (  -75.25    99.24   -55.67     2.05)  ; 11
+            (  -76.61    99.82   -55.97     1.82)  ; 12
+            (  -77.52    99.82   -58.40     1.82)  ; 13
+            (  -77.97    98.95   -58.95     1.82)  ; 14
+            (  -78.20    98.38   -59.02     1.59)  ; 15
+            (  -79.79    98.09   -60.15     1.59)  ; 16
+            (  -81.38    98.38   -61.03     1.59)  ; 17
+            (  -82.52    99.53   -62.37     1.59)  ; 18
+            (  -84.56   100.10   -63.72     1.59)  ; 19
+            (  -86.61   101.25   -65.00     1.59)  ; 20
+            (  -88.65   101.54   -66.00     1.59)  ; 21
+            (  -90.47   101.54   -67.53     1.59)  ; 22
+            (  -92.29   101.83   -69.15     1.59)  ; 23
+            (  -93.65   102.69   -70.82     1.59)  ; 24
+            (  -95.25   104.41   -70.47     1.59)  ; 25
+            (  -97.29   105.56   -71.70     1.59)  ; 26
+            (  -98.88   106.42   -72.82     1.59)  ; 27
+            ( -102.52   109.30   -74.15     1.59)  ; 28
+            ( -103.65   111.02   -74.15     1.59)  ; 29
+            ( -105.02   113.03   -75.72     1.59)  ; 30
+            ( -106.38   114.18   -77.30     1.59)  ; 31
+            ( -108.20   115.91   -78.42     1.59)  ; 32
+            ( -110.47   116.77   -79.53     1.59)  ; 33
+            ( -111.84   117.63   -79.92     1.59)  ; 34
+            ( -113.20   118.20   -80.42     1.59)  ; 35
+            ( -115.02   117.92   -80.47     1.36)  ; 36
+            ( -116.61   118.20   -80.68     1.36)  ; 37
+            ( -117.75   119.07   -81.25     1.36)  ; 38
+            ( -119.34   120.22   -81.58     1.36)  ; 39
+            ( -120.93   120.50   -82.55     1.36)  ; 40
+            ( -122.97   120.79   -83.63     1.36)  ; 41
+            ( -124.34   121.08   -84.40     1.36)  ; 42
+            ( -126.38   122.23   -84.57     1.36)  ; 43
+            ( -129.11   123.09   -84.95     1.36)  ; 44
+            ( -130.70   122.80   -85.75     1.36)  ; 45
+            ( -132.97   123.09   -85.80     1.36)  ; 46
+            ( -134.56   123.66   -86.35     1.36)  ; 47
+            ( -136.38   125.10   -86.45     1.36)  ; 48
+            ( -138.20   125.68   -86.58     1.36)  ; 49
+            ( -139.56   126.54   -86.88     1.36)  ; 50
+            ( -140.93   127.69   -87.02     1.36)  ; 51
+            ( -142.52   128.26   -87.15     1.36)  ; 52
+            ( -145.25   128.84   -87.15     1.36)  ; 53
+            ( -147.52   129.70   -87.72     1.36)  ; 54
+            ( -150.25   130.85   -88.05     1.36)  ; 55
+            ( -152.06   130.85   -89.30     1.14)  ; 56
+            ( -155.25   131.42   -90.02     0.91)  ; 57
+            ( -157.75   132.28   -90.28     1.14)  ; 58
+            ( -160.02   133.15   -91.53     1.14)  ; 59
+            ( -162.29   133.15   -92.63     1.14)  ; 60
+            ( -164.11   133.15   -93.67     1.14)  ; 61
+            ( -167.97   132.86   -93.75     1.14)  ; 62
+            ( -170.25   133.15   -94.38     1.14)  ; 63
+            ( -172.29   134.01   -94.38     1.14)  ; 64
+            ( -174.79   134.58   -93.53     1.14)  ; 65
+            ( -177.97   134.58   -93.55     0.91)  ; 66
+            ( -180.47   134.01   -93.55     0.91)  ; 67
+            ( -182.29   134.58   -92.60     0.91)  ; 68
+            ( -183.65   134.30   -91.22     0.91)  ; 69
+            ( -185.47   134.58   -90.52     0.91)  ; 70
+            ( -187.28   134.61   -90.55     0.91)  ; 71
+            ( -189.10   135.19   -90.68     0.91)  ; 72
+            ( -190.46   135.48   -90.33     0.91)  ; 73
+            ( -192.96   134.33   -90.33     0.91)  ; 74
+            ( -194.78   134.33   -90.68     0.68)  ; 75
+            ( -196.37   134.33   -90.68     0.68)  ; 76
+            ( -198.19   134.33   -91.13     0.91)  ; 77
+            ( -199.78   134.61   -90.75     0.91)  ; 78
+            ( -201.37   135.19   -90.82     0.68)  ; 79
+            ( -202.96   135.19   -90.82     0.68)  ; 80
+            ( -203.87   135.19   -90.88     0.68)  ; 81
+            ( -206.37   136.05   -90.92     0.68)  ; 82
+            ( -208.65   136.34   -90.92     1.14)  ; 83
+            ( -210.24   136.63   -90.92     0.91)  ; 84
+            ( -212.74   136.91   -90.97     0.68)  ; 85
+            ( -215.46   137.78   -91.03     0.68)  ; 86
+            ( -217.28   137.49   -91.22     0.68)  ; 87
+            ( -219.78   137.49   -91.22     0.68)  ; 88
+            ( -221.37   137.20   -91.45     0.68)  ; 89
+            ( -222.96   137.20   -92.17     0.68)  ; 90
+            ( -225.01   137.49   -92.17     0.68)  ; 91
+            ( -227.28   138.06   -92.42     0.68)  ; 92
+            ( -229.78   137.78   -92.42     0.68)  ; 93
+            ( -232.28   138.35   -92.72     0.68)  ; 94
+            ( -235.01   138.06   -91.67     0.68)  ; 95
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+
+            (FilledCircle
+              (Color Yellow)
+              (Name "Marker 11")
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+              ( -228.87   137.20   -92.35     0.45)  ; 72
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+              ( -214.33   138.35   -91.98     0.45)  ; 78
+              ( -212.96   136.05   -91.47     0.45)  ; 79
+              ( -207.51   134.90   -88.05     0.45)  ; 80
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+              ( -205.01   134.33   -90.97     0.45)  ; 82
+              ( -203.42   135.76   -91.50     0.45)  ; 83
+              ( -200.46   136.63   -88.75     0.45)  ; 84
+              ( -198.42   136.05   -90.33     0.45)  ; 85
+              ( -198.42   132.32   -91.43     0.45)  ; 86
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+              ( -194.10   132.60   -89.75     0.45)  ; 88
+              ( -189.78   134.04   -89.90     0.45)  ; 89
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+              ( -193.65   136.05   -92.05     0.45)  ; 91
+              ( -193.42   133.75   -87.97     0.45)  ; 92
+              ( -191.83   134.04   -89.38     0.45)  ; 93
+            )  ;  End of markers
+             Normal
+          |
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+            (  -68.43    90.91   -51.52     1.14)  ; 3
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+            (  -90.70    46.09  -122.70     1.14)  ; 73
+
+            (FilledCircle
+              (Color Yellow)
+              (Name "Marker 11")
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+              (  -94.34    50.11  -108.35     1.14)  ; 19
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+              (  -91.38    54.13  -105.37     1.14)  ; 23
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+              (  -96.38    60.74  -100.68     1.14)  ; 25
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+              (  -92.06    70.80   -95.70     1.14)  ; 28
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+              (  -87.97    78.84   -90.95     1.14)  ; 33
+            )  ;  End of markers
+             Normal
+          )  ;  End of split
+        |
+          (  -31.36    92.52   -31.22     5.45)  ; 1, R-2-2-2-2
+          (  -30.68    95.68   -31.22     5.23)  ; 2
+          (  -30.23    97.98   -30.27     5.68)  ; 3
+          (  -29.55   101.14   -30.25     5.91)  ; 4
+          (
+            (  -27.49   102.29   -30.25     1.82)  ; 1, R-2-2-2-2-1
+            (  -25.90   103.73   -28.50     1.36)  ; 2
+            (  -24.76   104.59   -27.27     1.36)  ; 3
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+            (  -24.54   104.30   -22.32     1.36)  ; 11
+            (  -24.31   105.16   -21.58     1.36)  ; 12
+            (  -23.85   105.74   -19.63     1.36)  ; 13
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+            (  -24.76   108.32   -16.77     1.59)  ; 16
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+
+            (FilledCircle
+              (Color Yellow)
+              (Name "Marker 11")
+              (  -27.04   108.61   -16.85     1.59)  ; 1
+              (  -26.13   107.75   -16.85     1.59)  ; 2
+              (  -23.85   110.05   -16.17     1.59)  ; 3
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+              (  -27.04   104.59   -28.82     1.59)  ; 10
+              (  -26.58   115.51   -16.63     1.59)  ; 11
+            )  ;  End of markers
+            (
+              (  -24.31   113.50   -15.32     1.14)  ; 1, R-2-2-2-2-1-1
+              (  -23.86   112.63   -13.50     1.14)  ; 2
+              (  -23.63   111.20   -11.70     1.14)  ; 3
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+              (  -29.09   121.25    -3.20     0.68)  ; 16
+              (  -30.68   121.25    -2.40     0.68)  ; 17
+              (  -32.27   121.54    -1.90     0.68)  ; 18
+              (  -33.40   121.54    -1.20     0.68)  ; 19
+              (  -34.31   123.26    -0.72     0.45)  ; 20
+              (  -35.45   124.70    -0.28     0.45)  ; 21
+              (  -35.68   126.71     0.05     0.45)  ; 22
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+              (  -37.72   125.85     1.53     0.23)  ; 24
+              (  -39.09   125.28     1.90     0.23)  ; 25
+              (  -42.04   127.00     1.90     0.23)  ; 26
+
+              (FilledCircle
+                (Color Yellow)
+                (Name "Marker 11")
+                (  -36.81   123.84     1.90     0.23)  ; 1
+                (  -36.13   124.13    -1.30     0.23)  ; 2
+                (  -35.00   126.42    -0.10     0.23)  ; 3
+                (  -32.95   124.13    -4.10     0.23)  ; 4
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+                (  -30.45   120.10    -3.60     0.23)  ; 7
+                (  -29.31   122.11    -4.90     0.23)  ; 8
+                (  -27.72   122.40    -4.88     0.23)  ; 9
+                (  -30.22   118.67     0.05     0.23)  ; 10
+                (  -27.95   119.24    -4.70     0.23)  ; 11
+                (  -28.86   120.10    -4.70     0.23)  ; 12
+                (  -23.63   119.24    -6.30     0.23)  ; 13
+                (  -24.77   118.38    -6.45     0.23)  ; 14
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+                (  -27.27   119.53    -8.50     0.23)  ; 16
+                (  -27.04   115.79    -6.47     0.23)  ; 17
+                (  -25.90   114.93    -6.20     0.23)  ; 18
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+                (  -20.68   111.20   -10.22     0.23)  ; 20
+                (  -26.81   112.35    -6.80     0.23)  ; 21
+                (  -22.27   114.36    -6.02     0.23)  ; 22
+              )  ;  End of markers
+               Normal
+            |
+              (  -24.76   115.51   -15.92     1.36)  ; 1, R-2-2-2-2-1-2
+              (  -22.95   116.08   -14.97     1.14)  ; 2
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+                (  123.36   167.25   -12.62     0.91)  ; 190
+                (  126.55   169.26   -12.72     0.91)  ; 191
+                (  127.45   170.70   -13.40     0.91)  ; 192
+                (  129.05   169.26   -16.05     0.91)  ; 193
+                (  128.14   170.13   -14.40     0.91)  ; 194
+                (  129.50   173.00   -16.32     0.91)  ; 195
+                (  133.14   171.85   -13.67     0.91)  ; 196
+                (  134.05   174.15   -16.45     0.91)  ; 197
+                (  136.55   173.57   -16.60     0.91)  ; 198
+                (  136.09   171.56   -15.17     0.91)  ; 199
+                (  139.27   170.41   -14.95     0.91)  ; 200
+                (  138.82   171.28   -13.15     0.91)  ; 201
+                (  140.41   172.71   -15.12     0.91)  ; 202
+                (  140.86   170.99   -15.45     0.91)  ; 203
+                (  141.77   170.99   -15.48     0.91)  ; 204
+                (  121.55   168.69   -15.60     0.91)  ; 205
+                (  131.32   173.29   -14.85     0.91)  ; 206
+                (  142.23   173.00   -14.05     0.91)  ; 207
+                (  143.59   171.28   -14.40     0.91)  ; 208
+                (  145.41   171.56   -15.38     0.91)  ; 209
+                (  145.18   173.57   -13.05     0.91)  ; 210
+                (  149.73   173.57   -13.85     0.91)  ; 211
+                (  151.32   171.85   -13.95     0.91)  ; 212
+                (  153.82   171.56   -16.35     0.91)  ; 213
+                (  148.14   171.56   -13.20     0.91)  ; 214
+                (  152.45   169.55   -15.35     0.91)  ; 215
+                (  150.86   170.13   -15.55     0.91)  ; 216
+                (  154.95   169.26   -15.00     0.91)  ; 217
+                (  155.64   169.26   -15.00     0.91)  ; 218
+                (  154.50   170.70   -14.50     0.91)  ; 219
+                (  155.86   171.56   -16.30     0.91)  ; 220
+                (  157.23   169.26   -14.20     0.91)  ; 221
+                (  158.82   173.00   -16.40     0.91)  ; 222
+                (  174.62   186.50   -18.48     0.45)  ; 223
+                (  172.12   184.77   -19.80     0.45)  ; 224
+                (  169.62   183.34   -20.90     0.45)  ; 225
+                (  170.08   182.19   -20.35     0.45)  ; 226
+                (  171.21   180.46   -19.10     0.45)  ; 227
+                (  167.12   181.04   -19.42     0.45)  ; 228
+                (  163.03   178.17   -17.25     0.45)  ; 229
+                (  166.67   179.03   -17.40     0.45)  ; 230
+                (  166.21   176.44   -19.25     0.45)  ; 231
+                (  163.94   177.59   -19.20     0.45)  ; 232
+                (  161.90   176.44   -18.35     0.45)  ; 233
+                (  160.53   174.43   -18.67     0.45)  ; 234
+                (  162.35   172.71   -18.82     0.45)  ; 235
+              )  ;  End of markers
+               Normal
+            )  ;  End of split
+          |
+            (  -29.77   102.58   -30.25     5.68)  ; 1, R-2-2-2-2-2
+            (  -30.45   106.31   -30.25     4.77)  ; 2
+            (  -30.68   108.90   -30.55     4.32)  ; 3
+            (  -30.91   111.77   -30.55     4.32)  ; 4
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+            (  -28.86   116.08   -32.25     5.23)  ; 6
+            (  -28.64   117.52   -32.25     5.00)  ; 7
+            (  -29.32   120.68   -31.27     5.23)  ; 8
+            (  -30.45   124.99   -31.27     5.68)  ; 9
+            (  -30.91   127.29   -31.27     5.23)  ; 10
+            (  -31.14   130.73   -31.27     4.77)  ; 11
+            (  -30.68   134.18   -31.27     4.55)  ; 12
+            (  -30.23   135.62   -30.10     4.77)  ; 13
+            (  -28.64   138.78   -30.05     4.77)  ; 14
+            (  -28.41   140.22   -30.05     4.77)  ; 15
+            (  -29.32   143.09   -31.07     4.55)  ; 16
+
+            (FilledCircle
+              (Color Yellow)
+              (Name "Marker 11")
+              (  -26.36   123.84   -30.07     4.55)  ; 1
+              (  -26.36   125.28   -31.20     4.55)  ; 2
+              (  -27.27   127.00   -30.97     4.55)  ; 3
+              (  -33.64   128.72   -30.63     4.55)  ; 4
+              (  -34.32   129.87   -30.63     4.55)  ; 5
+            )  ;  End of markers
+            (
+              (  -30.45   142.86   -32.55     1.36)  ; 1, R-2-2-2-2-2-1
+              (  -31.36   142.86   -33.60     1.36)  ; 2
+              (  -32.73   143.73   -35.47     1.14)  ; 3
+              (  -32.73   144.30   -37.52     1.14)  ; 4
+              (  -31.82   144.88   -39.58     1.14)  ; 5
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+              (  -32.05   149.76   -41.55     1.36)  ; 10
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+              (  -37.27   150.91   -46.32     1.36)  ; 15
+              (  -37.27   150.05   -47.20     1.36)  ; 16
+              (  -36.59   149.76   -48.00     1.36)  ; 17
+              (  -35.45   149.76   -48.35     1.36)  ; 18
+              (  -35.23   150.33   -49.52     1.36)  ; 19
+              (  -35.23   151.20   -50.20     1.36)  ; 20
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+              (  -40.45   155.51   -52.65     1.59)  ; 24
+              (  -42.27   154.64   -53.97     1.59)  ; 25
+              (  -44.55   154.36   -54.05     1.82)  ; 26
+              (  -46.59   155.22   -55.15     1.82)  ; 27
+              (  -47.05   156.08   -56.52     1.82)  ; 28
+              (  -47.05   158.38   -57.15     1.82)  ; 29
+              (  -47.05   160.39   -58.22     1.82)  ; 30
+              (  -46.59   162.12   -59.95     1.82)  ; 31
+              (  -45.23   163.26   -61.40     1.59)  ; 32
+              (  -42.95   164.13   -61.90     1.59)  ; 33
+              (  -41.59   165.28   -63.05     1.82)  ; 34
+              (  -40.91   167.86   -64.63     1.82)  ; 35
+              (  -40.45   169.01   -64.90     1.82)  ; 36
+              (  -39.77   170.16   -65.70     1.82)  ; 37
+              (  -39.55   171.88   -66.85     1.82)  ; 38
+              (  -39.55   172.75   -68.65     1.82)  ; 39
+              (  -39.09   173.90   -70.30     1.82)  ; 40
+              (  -37.95   175.04   -71.70     1.82)  ; 41
+              (  -37.27   177.06   -72.25     1.82)  ; 42
+              (  -36.82   178.78   -73.30     1.82)  ; 43
+              (  -37.05   180.50   -74.45     1.82)  ; 44
+              (  -37.73   181.65   -75.38     1.82)  ; 45
+              (  -37.95   183.38   -75.80     1.82)  ; 46
+              (  -39.32   184.81   -76.20     1.82)  ; 47
+              (  -40.23   185.96   -76.20     2.05)  ; 48
+              (  -40.91   188.26   -76.20     2.05)  ; 49
+              (  -41.14   189.99   -76.63     1.82)  ; 50
+              (  -41.59   192.28   -76.63     1.59)  ; 51
+              (  -42.27   194.01   -77.68     1.59)  ; 52
+              (  -42.95   195.45   -78.25     1.59)  ; 53
+              (  -44.32   198.03   -78.25     1.36)  ; 54
+              (  -45.00   199.76   -78.78     1.36)  ; 55
+              (  -45.00   201.19   -79.55     1.36)  ; 56
+              (  -45.00   203.20   -79.63     1.36)  ; 57
+              (  -44.77   204.07   -80.10     1.36)  ; 58
+              (  -44.77   206.08   -80.45     1.36)  ; 59
+              (  -45.91   208.66   -80.82     1.36)  ; 60
+              (  -47.27   211.25   -81.03     1.36)  ; 61
+              (  -49.55   214.70   -81.15     1.14)  ; 62
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+              (  -52.95   218.72   -82.72     1.14)  ; 64
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+              (  -55.00   222.45   -83.57     1.14)  ; 66
+
+              (FilledCircle
+                (Color Yellow)
+                (Name "Marker 11")
+                (  -38.18   187.69   -74.80     2.05)  ; 1
+                (  -40.45   185.68   -75.40     2.05)  ; 2
+                (  -37.95   185.10   -74.18     2.05)  ; 3
+                (  -40.00   183.95   -75.10     2.05)  ; 4
+                (  -37.73   180.22   -71.77     2.05)  ; 5
+                (  -41.14   173.90   -66.80     2.05)  ; 6
+                (  -40.00   166.14   -61.30     2.05)  ; 7
+                (  -40.91   163.55   -61.22     2.05)  ; 8
+                (  -49.09   161.25   -57.72     2.05)  ; 9
+                (  -46.59   160.39   -56.77     2.05)  ; 10
+                (  -45.45   156.66   -53.22     2.05)  ; 11
+                (  -48.64   154.93   -53.42     2.05)  ; 12
+                (  -46.36   153.50   -53.60     2.05)  ; 13
+                (  -41.36   152.92   -53.60     2.05)  ; 14
+                (  -40.68   153.50   -49.78     2.05)  ; 15
+                (  -37.50   156.37   -48.72     2.05)  ; 16
+                (  -34.77   155.51   -48.58     2.05)  ; 17
+                (  -38.64   152.92   -48.92     2.05)  ; 18
+                (  -37.27   148.61   -45.22     2.05)  ; 19
+                (  -39.09   149.47   -43.67     2.05)  ; 20
+                (  -33.86   152.63   -42.28     2.05)  ; 21
+                (  -27.73   147.75   -39.20     2.05)  ; 22
+                (  -32.73   142.58   -33.63     2.05)  ; 23
+                (  -51.36   219.01   -83.60     1.14)  ; 24
+                (  -55.91   219.29   -81.95     1.14)  ; 25
+                (  -47.73   213.26   -80.07     1.14)  ; 26
+                (  -44.77   208.95   -79.65     1.14)  ; 27
+                (  -47.95   209.81   -81.82     1.14)  ; 28
+                (  -43.64   206.36   -79.72     1.14)  ; 29
+                (  -46.36   205.79   -77.38     1.14)  ; 30
+                (  -43.18   195.73   -76.45     1.14)  ; 31
+                (  -38.18   187.40   -74.82     1.14)  ; 32
+                (  -37.95   184.53   -74.27     1.14)  ; 33
+                (  -40.68   183.66   -75.92     1.14)  ; 34
+                (  -40.45   185.39   -75.92     1.14)  ; 35
+                (  -37.50   179.93   -71.85     1.14)  ; 36
+                (  -35.45   177.92   -70.15     1.14)  ; 37
+              )  ;  End of markers
+               Normal
+            |
+              (  -30.00   145.39   -31.55     4.77)  ; 1, R-2-2-2-2-2-2
+              (  -30.23   147.40   -31.15     4.77)  ; 2
+              (  -30.45   150.27   -31.82     4.77)  ; 3
+              (  -30.45   152.86   -31.82     4.77)  ; 4
+              (
+                (  -28.64   153.43   -31.82     1.36)  ; 1, R-2-2-2-2-2-2-1
+                (  -27.73   153.14   -30.00     1.36)  ; 2
+                (  -26.59   152.86   -28.47     1.14)  ; 3
+                (  -25.45   153.14   -27.35     1.14)  ; 4
+                (  -24.32   153.43   -25.40     1.14)  ; 5
+                (  -23.41   154.58   -23.57     1.14)  ; 6
+                (  -23.86   155.16   -22.47     1.14)  ; 7
+                (  -24.55   155.44   -21.82     1.14)  ; 8
+                (  -25.23   156.02   -21.42     1.14)  ; 9
+                (  -25.00   156.88   -20.85     1.14)  ; 10
+                (  -24.09   158.32   -19.75     1.14)  ; 11
+                (  -22.50   158.89   -20.90     1.36)  ; 12
+                (  -20.91   158.89   -20.67     1.36)  ; 13
+                (  -18.86   158.89   -21.48     1.36)  ; 14
+                (  -16.59   159.18   -21.02     1.36)  ; 15
+                (  -15.45   160.04   -20.47     1.36)  ; 16
+                (  -15.00   160.04   -19.90     1.36)  ; 17
+                (  -13.64   160.90   -17.85     1.36)  ; 18
+                (  -12.95   162.34   -16.42     1.36)  ; 19
+                (  -12.95   163.78   -15.75     1.36)  ; 20
+                (  -13.64   164.64   -15.17     1.36)  ; 21
+                (  -14.55   164.64   -14.38     1.36)  ; 22
+                (  -14.55   163.49   -14.20     1.36)  ; 23
+                (  -14.55   162.05   -13.65     1.36)  ; 24
+                (  -15.91   162.05   -12.83     1.36)  ; 25
+                (  -16.14   162.34   -12.83     1.36)  ; 26
+
+                (FilledCircle
+                  (Color Yellow)
+                  (Name "Marker 11")
+                  (  -11.14   163.49   -13.00     1.36)  ; 1
+                  (  -17.05   160.61   -14.02     1.36)  ; 2
+                  (  -17.05   161.19   -19.05     1.36)  ; 3
+                  (  -14.77   158.03   -21.72     1.36)  ; 4
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+                  (  -20.91   158.03   -20.47     1.36)  ; 7
+                  (  -18.86   158.03   -22.90     1.36)  ; 8
+                  (  -22.27   160.33   -22.90     1.36)  ; 9
+                  (  -20.68   160.33   -20.47     1.36)  ; 10
+                  (  -25.45   158.03   -20.30     1.36)  ; 11
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+                  (  -22.05   154.87   -26.15     1.36)  ; 16
+                  (  -26.14   151.42   -28.65     1.36)  ; 17
+                  (  -24.55   151.71   -31.82     1.36)  ; 18
+                )  ;  End of markers
+                (
+                  (  -15.00   163.49   -11.13     0.91)  ; 1, R-2-2-2-2-2-2-1-1
+                  (  -15.45   164.35   -10.48     0.91)  ; 2
+                  (  -16.36   164.92   -10.33     0.91)  ; 3
+                  (  -17.73   165.21    -9.88     0.91)  ; 4
+                  (  -18.86   165.79    -9.82     0.91)  ; 5
+                  (  -19.09   166.65    -9.40     0.91)  ; 6
+                  (  -18.86   167.80    -9.35     0.91)  ; 7
+                  (  -19.77   169.52    -8.82     0.91)  ; 8
+                  (  -19.32   170.38    -8.82     0.91)  ; 9
+                  (  -19.32   170.96    -8.82     0.91)  ; 10
+                  (  -20.23   171.82    -8.07     0.91)  ; 11
+                  (  -20.45   172.68    -7.92     0.91)  ; 12
+                  (  -19.55   173.54    -7.40     0.91)  ; 13
+                  (  -17.50   174.12    -7.40     0.68)  ; 14
+                  (  -15.91   173.26    -6.35     0.68)  ; 15
+                  (  -16.36   172.11    -5.20     0.68)  ; 16
+                  (  -16.59   170.67    -4.72     0.68)  ; 17
+                  (  -16.36   169.52    -3.27     0.68)  ; 18
+
+                  (FilledCircle
+                    (Color Yellow)
+                    (Name "Marker 11")
+                    (  -17.27   172.68    -6.95     0.68)  ; 1
+                    (  -17.50   171.82    -6.05     0.68)  ; 2
+                    (  -19.55   174.69    -7.75     0.68)  ; 3
+                    (  -21.36   173.83    -9.77     0.68)  ; 4
+                    (  -18.41   172.11    -9.15     0.68)  ; 5
+                    (  -20.45   171.82    -8.93     0.68)  ; 6
+                    (  -19.55   168.09    -9.55     0.68)  ; 7
+                    (  -20.00   166.65   -10.20     0.68)  ; 8
+                    (  -16.14   166.94    -9.95     0.68)  ; 9
+                    (  -16.82   166.36   -12.75     0.68)  ; 10
+                    (  -15.23   165.79   -12.35     0.68)  ; 11
+                    (  -17.73   164.92   -12.35     0.68)  ; 12
+                  )  ;  End of markers
+                  (
+                    (  -16.59   169.52    -2.80     0.91)  ; 1, R-2-2-2-2-2-2-1-1-1
+                    (  -15.45   171.25    -1.38     0.91)  ; 2
+                    (  -14.77   172.68    -1.32     0.91)  ; 3
+                    (  -14.09   173.54    -0.50     0.68)  ; 4
+                    (  -13.86   174.69     0.28     0.45)  ; 5
+                    (  -14.77   176.13     1.42     0.23)  ; 6
+                    (  -14.77   177.85     1.42     0.23)  ; 7
+                    (  -15.45   181.30     1.42     0.23)  ; 8
+                    (  -14.77   183.31     1.42     0.23)  ; 9
+
+                    (FilledCircle
+                      (Color Yellow)
+                      (Name "Marker 11")
+                      (  -15.00   174.98    -0.75     0.23)  ; 1
+                      (   -9.32   171.82    -4.25     0.23)  ; 2
+                    )  ;  End of markers
+                     Normal
+                  |
+                    (  -15.45   168.66    -3.38     0.91)  ; 1, R-2-2-2-2-2-2-1-1-2
+                    (  -13.86   168.95    -3.00     0.91)  ; 2
+                    (  -12.05   169.23    -3.57     0.91)  ; 3
+                    (  -10.00   168.95    -2.80     0.91)  ; 4
+                    (   -8.64   168.66    -1.65     0.91)  ; 5
+                    (   -6.82   168.09    -1.25     0.68)  ; 6
+                    (   -4.32   166.65    -0.72     0.68)  ; 7
+                    (   -2.27   166.94    -0.70     0.68)  ; 8
+                    (   -0.68   165.50     0.07     0.68)  ; 9
+                    (    0.68   164.35     0.88     0.45)  ; 10
+                    (    0.00   162.05     1.00     0.45)  ; 11
+                    (   -1.82   161.48     0.55     0.45)  ; 12
+                    (   -2.73   160.90     0.97     0.45)  ; 13
+                    (   -2.05   159.47     0.28     0.23)  ; 14
+                    (   -1.82   158.32     1.22     0.23)  ; 15
+                    (   -0.68   158.60     1.22     0.23)  ; 16
+                    (    0.68   157.74     2.13     0.23)  ; 17
+                    (    2.05   156.88     2.10     0.23)  ; 18
+
+                    (FilledCircle
+                      (Color Yellow)
+                      (Name "Marker 11")
+                      (   -0.68   164.06    -1.10     0.23)  ; 1
+                      (   -4.77   165.79     0.00     0.23)  ; 2
+                      (   -3.64   167.80    -1.67     0.23)  ; 3
+                      (    2.95   171.25    -0.82     0.23)  ; 4
+                      (   -6.14   167.22    -1.58     0.23)  ; 5
+                      (   -9.09   167.80    -4.07     0.23)  ; 6
+                      (   -7.50   170.10    -0.75     0.23)  ; 7
+                      (  -12.05   168.95    -5.42     0.23)  ; 8
+                      (  -12.50   170.67    -7.32     0.23)  ; 9
+                      (  -15.68   167.80    -4.27     0.23)  ; 10
+                    )  ;  End of markers
+                     Normal
+                  )  ;  End of split
+                |
+                  (  -17.50   162.05   -12.32     0.91)  ; 1, R-2-2-2-2-2-2-1-2
+                  (  -19.55   162.34   -12.32     0.91)  ; 2
+                  (  -20.00   162.63   -12.30     0.91)  ; 3
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+                  (  -30.45   161.48    -5.90     0.91)  ; 14
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+                  (  -35.68   160.61    -1.53     0.68)  ; 23
+                  (  -36.14   161.76    -1.40     0.68)  ; 24
+                  (  -36.82   162.63    -0.97     0.68)  ; 25
+                  (  -37.73   162.34    -0.95     0.68)  ; 26
+                  (  -38.18   162.34    -0.43     0.68)  ; 27
+                  (  -40.23   162.91     0.52     0.68)  ; 28
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+                  (  -42.05   162.34     1.38     0.23)  ; 30
+                  (  -42.50   161.19     1.82     0.23)  ; 31
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+                  (  -44.09   159.18     1.97     0.23)  ; 33
+                  (  -42.95   159.18     2.75     0.23)  ; 34
+                  (  -41.59   159.47     2.75     0.23)  ; 35
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+                  (  -40.23   162.34     1.45     0.23)  ; 37
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+                  (  -42.95   164.06     2.00     0.23)  ; 40
+
+                  (FilledCircle
+                    (Color Yellow)
+                    (Name "Marker 11")
+                    (  -37.50   163.49    -0.32     0.23)  ; 1
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+                    (  -26.59   161.48    -7.95     0.23)  ; 14
+                    (  -26.36   165.50    -8.38     0.23)  ; 15
+                    (  -28.18   162.34    -8.38     0.23)  ; 16
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+                    (  -23.86   164.06   -11.58     0.23)  ; 20
+                    (  -25.00   167.80   -11.63     0.23)  ; 21
+                    (  -23.64   167.22    -9.93     0.23)  ; 22
+                    (  -25.45   166.65    -9.95     0.23)  ; 23
+                    (  -22.50   164.64   -10.80     0.23)  ; 24
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+                    (  -20.91   162.34   -12.70     0.23)  ; 31
+                    (  -20.00   162.05   -12.70     0.23)  ; 32
+                    (  -19.32   161.19   -14.85     0.23)  ; 33
+                    (  -19.09   164.06   -13.87     0.23)  ; 34
+                  )  ;  End of markers
+                   Normal
+                )  ;  End of split
+              |
+                (  -30.91   155.16   -32.45     4.55)  ; 1, R-2-2-2-2-2-2-2
+                (  -30.68   158.61   -33.38     4.77)  ; 2
+                (  -30.00   160.33   -33.38     5.00)  ; 3
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+
+                (FilledCircle
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+                  (Name "Marker 11")
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+                  (  -34.77   154.01   -33.00     4.77)  ; 16
+                  (  -33.86   155.16   -33.00     4.77)  ; 17
+                )  ;  End of markers
+                (
+                  (  -32.73   182.55   -31.42     1.82)  ; 1, R-2-2-2-2-2-2-2-1
+                  (  -32.05   183.12   -33.40     1.82)  ; 2
+                  (  -31.82   184.27   -36.03     1.59)  ; 3
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+                  (  -25.91   187.43   -49.20     1.36)  ; 18
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+                  (  -27.27   186.00   -56.70     1.36)  ; 25
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+                  (  -33.64   242.57  -106.90     0.45)  ; 79
+
+                  (FilledCircle
+                    (Color Yellow)
+                    (Name "Marker 11")
+                    (  -30.00   187.43   -37.75     1.36)  ; 1
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+                    (  -27.05   181.40   -39.17     1.36)  ; 3
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+                    (  -30.68   238.26  -106.90     0.45)  ; 19
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+                    (  -33.18   237.68  -109.60     0.45)  ; 21
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+                    (  -30.23   225.90   -98.55     0.45)  ; 23
+                    (  -26.82   222.17   -99.22     0.45)  ; 24
+                  )  ;  End of markers
+                   Normal
+                |
+                  (  -34.09   184.18   -30.50     4.77)  ; 1, R-2-2-2-2-2-2-2-2
+                  (  -34.32   187.91   -30.50     4.55)  ; 2
+                  (  -34.55   190.50   -30.50     4.55)  ; 3
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+                  (  -35.91   197.11   -30.90     5.00)  ; 6
+
+                  (FilledCircle
+                    (Color Yellow)
+                    (Name "Marker 11")
+                    (  -38.86   194.23   -30.45     5.00)  ; 1
+                    (  -38.64   192.51   -30.45     5.00)  ; 2
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+                    (  -31.82   189.06   -30.40     5.00)  ; 7
+                    (  -36.82   185.61   -32.17     5.00)  ; 8
+                    (  -31.82   189.64   -35.75     5.00)  ; 9
+                  )  ;  End of markers
+                  (
+                    (  -34.77   198.54   -31.22     3.86)  ; 1, R-2-2-2-2-2-2-2-2-1
+                    (  -33.41   200.27   -32.55     3.41)  ; 2
+                    (  -30.91   202.28   -33.95     3.41)  ; 3
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+                    (  -26.82   207.45   -34.25     3.41)  ; 5
+
+                    (FilledCircle
+                      (Color Yellow)
+                      (Name "Marker 11")
+                      (  -25.91   203.72   -34.63     3.41)  ; 1
+                      (  -25.00   204.58   -37.63     3.41)  ; 2
+                      (  -28.18   201.42   -32.28     3.41)  ; 3
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+                      (  -30.68   198.54   -29.65     3.41)  ; 9
+                      (  -32.27   197.40   -29.67     3.41)  ; 10
+                    )  ;  End of markers
+                    (
+                      (  -25.36   207.86   -33.17     1.36)  ; 1, R-2-2-2-2-2-2-2-2-1-1
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+                      (    2.14   217.06   -24.70     1.36)  ; 18
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+                      (   46.78   221.34   -10.07     0.91)  ; 50
+                      (   49.28   221.63   -10.07     0.91)  ; 51
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+                      (   54.28   221.34    -8.52     0.68)  ; 54
+                      (   56.55   221.91    -8.45     0.68)  ; 55
+                      (   58.82   222.20    -7.80     0.91)  ; 56
+                      (   60.41   222.20    -7.02     0.68)  ; 57
+                      (   62.00   221.05    -7.07     0.68)  ; 58
+                      (   64.50   220.19    -7.07     0.91)  ; 59
+                      (   67.00   219.62    -7.80     0.68)  ; 60
+                      (   69.05   219.04    -8.02     0.68)  ; 61
+                      (   70.87   219.04    -7.97     0.68)  ; 62
+                      (   72.91   219.90    -7.97     0.68)  ; 63
+                      (   74.05   219.90    -8.80     0.68)  ; 64
+                      (   74.96   219.33    -9.35     0.68)  ; 65
+                      (   76.25   218.44    -9.43     0.91)  ; 66
+                      (   77.39   218.16   -10.43     0.91)  ; 67
+                      (   78.52   217.58   -10.77     0.91)  ; 68
+                      (   79.66   216.15   -10.80     0.91)  ; 69
+                      (   81.48   215.00   -10.82     0.91)  ; 70
+                      (   83.98   214.42   -10.00     0.91)  ; 71
+                      (   85.80   213.56   -10.70     0.91)  ; 72
+                      (   86.93   212.41   -11.32     0.91)  ; 73
+                      (   88.52   211.84   -11.05     0.91)  ; 74
+                      (   90.34   210.97   -11.25     0.91)  ; 75
+                      (   91.70   210.11   -12.27     0.91)  ; 76
+                      (   92.84   209.54   -12.40     0.91)  ; 77
+                      (   94.89   208.96   -12.45     0.91)  ; 78
+                      (   97.39   208.39   -12.47     0.91)  ; 79
+                      (  100.80   207.81   -11.00     0.91)  ; 80
+                      (  102.84   206.95   -11.00     1.14)  ; 81
+                      (  105.80   205.80   -11.00     0.91)  ; 82
+                      (  108.30   204.08   -10.75     0.91)  ; 83
+                      (  111.70   201.78   -10.75     0.91)  ; 84
+                      (  114.43   200.92   -10.77     0.91)  ; 85
+                      (  117.27   200.06   -11.82     0.91)  ; 86
+                      (  119.54   199.48   -11.88     0.91)  ; 87
+                      (  122.04   198.91   -11.88     0.68)  ; 88
+                      (  123.63   199.19   -11.47     0.91)  ; 89
+                      (  125.90   198.33   -10.57     0.91)  ; 90
+                      (  127.72   198.91   -10.63     0.91)  ; 91
+                      (  129.54   198.62   -10.63     0.91)  ; 92
+                      (  131.36   198.33   -10.63     0.91)  ; 93
+                      (  132.95   198.33   -11.15     1.14)  ; 94
+                      (  134.31   198.04   -11.15     1.14)  ; 95
+                      (  137.04   198.04   -11.15     0.91)  ; 96
+                      (  140.22   197.76   -10.97     0.91)  ; 97
+                      (  142.50   196.61   -10.45     0.68)  ; 98
+                      (  144.54   194.88    -9.75     0.68)  ; 99
+                      (  145.45   194.88    -9.82     0.68)  ; 100
+                      (  146.13   193.73    -9.38     0.68)  ; 101
+                      (  148.18   193.45    -9.00     0.68)  ; 102
+                      (  149.31   192.87    -8.60     0.68)  ; 103
+                      (  151.36   191.72    -8.47     0.45)  ; 104
+                      (  152.95   190.00    -7.38     0.45)  ; 105
+                      (  155.45   189.42    -7.22     0.45)  ; 106
+
+                      (FilledCircle
+                        (Color Yellow)
+                        (Name "Marker 11")
+                        (   24.41   219.93   -16.40     1.36)  ; 1
+                        (   25.77   216.77   -15.32     1.36)  ; 2
+                        (   24.64   216.77   -18.27     1.36)  ; 3
+                        (   23.05   216.20   -18.30     1.36)  ; 4
+                        (   23.05   220.79   -18.95     1.36)  ; 5
+                        (   22.59   221.37   -21.20     1.36)  ; 6
+                        (   19.86   221.37   -20.47     1.36)  ; 7
+                        (   21.23   221.66   -20.50     1.36)  ; 8
+                        (   19.86   218.49   -22.30     1.36)  ; 9
+                        (   18.05   218.21   -22.85     1.36)  ; 10
+                        (   22.14   218.49   -20.15     1.36)  ; 11
+                        (   21.00   220.79   -17.77     1.36)  ; 12
+                        (   22.82   218.49   -18.35     1.36)  ; 13
+                        (   16.91   219.07   -21.55     1.36)  ; 14
+                        (   15.55   219.36   -22.17     1.36)  ; 15
+                        (   15.09   220.22   -19.80     1.36)  ; 16
+                        (   17.36   222.52   -22.75     1.36)  ; 17
+                        (   15.55   221.94   -22.20     1.36)  ; 18
+                        (   13.73   221.94   -21.95     1.36)  ; 19
+                        (   13.73   219.07   -22.55     1.36)  ; 20
+                        (   11.00   218.49   -23.95     1.36)  ; 21
+                        (   12.36   218.49   -22.25     1.36)  ; 22
+                        (   11.91   221.94   -22.70     1.36)  ; 23
+                        (   10.09   221.08   -23.47     1.36)  ; 24
+                        (    9.86   222.23   -23.52     1.36)  ; 25
+                        (    6.91   219.93   -23.88     1.36)  ; 26
+                        (    8.27   220.79   -24.38     1.36)  ; 27
+                        (    9.18   218.21   -24.48     1.36)  ; 28
+                        (    8.50   217.35   -26.00     1.36)  ; 29
+                        (    7.14   217.06   -25.60     1.36)  ; 30
+                        (    6.23   216.77   -24.65     1.36)  ; 31
+                        (    6.00   217.63   -23.27     1.36)  ; 32
+                        (    4.64   219.93   -23.82     1.36)  ; 33
+                        (    5.32   220.79   -25.85     1.36)  ; 34
+                        (    3.27   219.07   -25.30     1.36)  ; 35
+                        (    5.09   217.06   -24.92     1.36)  ; 36
+                        (    4.41   215.91   -25.77     1.36)  ; 37
+                        (    3.27   215.91   -25.80     1.36)  ; 38
+                        (    1.91   215.05   -25.97     1.36)  ; 39
+                        (    1.23   215.91   -26.77     1.36)  ; 40
+                        (    1.68   218.49   -23.82     1.36)  ; 41
+                        (    0.32   217.63   -23.75     1.36)  ; 42
+                        (   -2.18   218.49   -24.22     1.36)  ; 43
+                        (   -1.27   217.92   -24.30     1.36)  ; 44
+                        (   -1.05   214.76   -27.25     1.36)  ; 45
+                        (   -1.05   215.91   -24.65     1.36)  ; 46
+                        (   -4.00   214.47   -24.85     1.36)  ; 47
+                        (   -3.32   218.21   -25.63     1.36)  ; 48
+                        (   -4.00   218.21   -25.65     1.36)  ; 49
+                        (   -5.36   217.35   -25.25     1.36)  ; 50
+                        (   -3.09   215.91   -25.80     1.36)  ; 51
+                        (   -6.27   214.47   -27.27     1.36)  ; 52
+                        (   -5.59   213.90   -27.67     1.36)  ; 53
+                        (   -7.41   213.32   -29.27     1.36)  ; 54
+                        (   -7.41   217.06   -28.90     1.36)  ; 55
+                        (   -8.32   216.77   -27.38     1.36)  ; 56
+                        (  -10.82   217.06   -26.28     1.36)  ; 57
+                        (   -9.91   213.90   -28.27     1.36)  ; 58
+                        (  -11.27   213.90   -29.52     1.36)  ; 59
+                        (  -12.41   213.61   -30.70     1.36)  ; 60
+                        (  -13.09   216.77   -28.63     1.36)  ; 61
+                        (  -16.05   216.77   -30.00     1.36)  ; 62
+                        (  -14.45   216.77   -28.42     1.36)  ; 63
+                        (  -17.41   215.91   -28.75     1.36)  ; 64
+                        (  -14.68   215.62   -27.85     1.36)  ; 65
+                        (  -14.23   212.75   -28.88     1.36)  ; 66
+                        (  -16.73   212.46   -28.67     1.36)  ; 67
+                        (  -18.09   210.16   -32.15     1.36)  ; 68
+                        (  -18.32   214.76   -29.50     1.36)  ; 69
+                        (  -21.73   211.89   -29.52     1.36)  ; 70
+                        (  -20.59   212.46   -31.72     1.36)  ; 71
+                        (  -19.23   212.75   -29.22     1.36)  ; 72
+                        (  -21.50   207.86   -32.77     1.36)  ; 73
+                        (  -19.68   209.01   -32.77     1.36)  ; 74
+                        (  -22.41   208.44   -29.80     1.36)  ; 75
+                        (  -20.36   209.30   -29.77     1.36)  ; 76
+                        (  -22.64   211.60   -31.70     1.36)  ; 77
+                        (  -24.23   207.86   -31.40     1.36)  ; 78
+                        (   17.82   220.51   -19.77     1.36)  ; 79
+                        (   26.78   219.62   -16.38     0.68)  ; 80
+                        (   26.78   220.48   -17.90     0.68)  ; 81
+                        (   28.14   217.60   -18.45     0.68)  ; 82
+                        (   29.73   218.47   -18.65     0.68)  ; 83
+                        (   28.82   220.76   -18.60     0.68)  ; 84
+                        (   29.73   222.20   -16.80     0.68)  ; 85
+                        (   31.10   219.90   -18.20     0.68)  ; 86
+                        (   31.32   218.75   -15.70     0.68)  ; 87
+                        (   28.82   219.90   -14.77     0.68)  ; 88
+                        (   32.46   222.49   -16.38     0.68)  ; 89
+                        (   34.96   222.78   -16.73     0.68)  ; 90
+                        (   34.28   221.63   -15.15     0.68)  ; 91
+                        (   32.91   219.90   -15.38     0.68)  ; 92
+                        (   32.91   219.04   -17.17     0.68)  ; 93
+                        (   34.05   219.33   -17.90     0.68)  ; 94
+                        (   37.46   221.05   -17.72     0.68)  ; 95
+                        (   38.14   219.62   -15.55     0.68)  ; 96
+                        (   35.19   221.63   -16.27     0.68)  ; 97
+                        (   35.87   216.17   -13.20     0.68)  ; 98
+                        (   37.91   216.17    -9.90     0.68)  ; 99
+                        (   38.82   217.03    -8.02     0.68)  ; 100
+                        (   39.96   220.19    -9.48     0.68)  ; 101
+                        (   39.28   219.62    -9.50     0.68)  ; 102
+                        (   41.10   217.89    -8.55     0.68)  ; 103
+                        (   40.19   217.89   -11.00     0.68)  ; 104
+                        (   37.00   220.19   -11.13     0.68)  ; 105
+                        (   39.05   215.59   -12.07     0.68)  ; 106
+                        (   41.10   220.19    -9.72     0.68)  ; 107
+                        (   41.78   219.33    -8.57     0.68)  ; 108
+                        (   42.23   221.34   -10.30     0.68)  ; 109
+                        (   43.60   220.48    -9.67     0.68)  ; 110
+                        (   43.14   217.89    -9.45     0.68)  ; 111
+                        (   44.50   218.47    -9.50     0.68)  ; 112
+                        (   42.69   219.62    -9.50     0.68)  ; 113
+                        (   44.96   220.76    -8.88     0.68)  ; 114
+                        (   45.87   221.34    -8.95     0.68)  ; 115
+                        (   47.00   222.20    -8.95     0.68)  ; 116
+                        (   46.32   219.04    -9.38     0.68)  ; 117
+                        (   47.91   220.19    -9.45     0.68)  ; 118
+                        (   48.14   222.20    -9.35     0.68)  ; 119
+                        (   49.05   221.91    -9.40     0.68)  ; 120
+                        (   43.37   218.47   -11.82     0.68)  ; 121
+                        (   42.46   217.89   -11.82     0.68)  ; 122
+                        (   49.28   219.62   -12.07     0.68)  ; 123
+                        (   50.19   221.05   -12.17     0.68)  ; 124
+                        (   51.32   220.19    -9.88     0.68)  ; 125
+                        (   52.69   222.49    -8.32     0.68)  ; 126
+                        (   52.46   223.35    -9.75     0.68)  ; 127
+                        (   51.55   222.20    -9.88     0.68)  ; 128
+                        (   52.69   219.62   -10.97     0.68)  ; 129
+                        (   50.19   222.20   -10.43     0.68)  ; 130
+                        (   54.50   220.48    -8.60     0.68)  ; 131
+                        (   55.87   219.33   -10.20     0.68)  ; 132
+                        (   57.00   223.35    -9.00     0.68)  ; 133
+                        (   54.28   222.49    -9.07     0.68)  ; 134
+                        (   56.78   220.48    -9.72     0.68)  ; 135
+                        (   57.91   223.93    -9.82     0.68)  ; 136
+                        (   59.28   223.64    -9.17     0.68)  ; 137
+                        (   62.00   223.06    -8.27     0.68)  ; 138
+                        (   58.37   220.76    -6.55     0.68)  ; 139
+                        (   60.64   221.34    -5.90     0.68)  ; 140
+                        (   64.50   222.20    -8.85     0.68)  ; 141
+                        (   66.10   221.05    -8.60     0.68)  ; 142
+                        (   67.46   220.76    -5.37     0.68)  ; 143
+                        (   68.37   221.91    -7.13     0.68)  ; 144
+                        (   67.00   221.34    -7.15     0.68)  ; 145
+                        (   63.82   221.34    -8.07     0.68)  ; 146
+                        (   62.46   220.76    -9.17     0.68)  ; 147
+                        (   65.64   219.04    -5.95     0.68)  ; 148
+                        (   64.50   219.62    -5.95     0.68)  ; 149
+                        (   68.82   218.75    -6.25     0.68)  ; 150
+                        (   69.96   219.90    -6.22     0.68)  ; 151
+                        (   72.91   217.60    -8.52     0.68)  ; 152
+                        (   73.37   218.75    -8.82     0.68)  ; 153
+                        (   71.55   220.48    -7.82     0.68)  ; 154
+                        (   72.69   221.91    -7.82     0.68)  ; 155
+                        (   74.05   221.63    -8.85     0.68)  ; 156
+                        (   72.91   220.48    -8.85     0.68)  ; 157
+                        (   71.55   218.75    -5.88     0.68)  ; 158
+                        (   74.28   219.04    -6.85     0.68)  ; 159
+                        (   75.19   220.76    -9.52     0.68)  ; 160
+                        (   74.73   217.32   -10.05     0.68)  ; 161
+                        (   75.64   217.32   -10.92     0.68)  ; 162
+                        (   77.61   218.73   -10.35     0.91)  ; 163
+                        (   78.98   219.02   -11.37     0.91)  ; 164
+                        (   79.20   216.43   -10.10     0.91)  ; 165
+                        (   79.89   214.71   -10.28     0.91)  ; 166
+                        (   81.48   213.56   -11.17     0.91)  ; 167
+                        (   84.20   215.86    -9.63     0.91)  ; 168
+                        (   82.39   215.28    -8.60     0.91)  ; 169
+                        (   83.07   213.85    -8.60     0.91)  ; 170
+                        (   86.25   214.71    -8.80     0.91)  ; 171
+                        (   86.25   213.85    -8.07     0.91)  ; 172
+                        (   84.20   213.85    -8.97     0.91)  ; 173
+                        (   88.52   212.99    -8.75     0.91)  ; 174
+                        (   87.16   211.84    -8.82     0.91)  ; 175
+                        (   89.89   212.99   -10.30     0.91)  ; 176
+                        (   87.61   213.85   -11.75     0.91)  ; 177
+                        (   85.11   215.28   -10.22     0.91)  ; 178
+                        (   87.39   210.11   -12.10     0.91)  ; 179
+                        (   88.52   210.11   -10.92     0.91)  ; 180
+                        (   89.89   209.54   -10.92     0.91)  ; 181
+                        (   93.07   208.10   -12.35     0.91)  ; 182
+                        (   92.39   210.69   -11.10     0.91)  ; 183
+                        (   95.34   209.54    -9.82     0.91)  ; 184
+                        (   94.20   210.11   -12.93     0.91)  ; 185
+                        (   92.84   210.11   -12.42     0.91)  ; 186
+                        (   97.61   210.11   -12.67     0.91)  ; 187
+                        (   96.48   209.82   -13.07     0.91)  ; 188
+                        (   94.66   207.81   -14.45     0.91)  ; 189
+                        (   96.48   207.53   -11.45     0.91)  ; 190
+                        (  100.11   209.82    -9.27     0.91)  ; 191
+                        (   97.84   207.24   -10.60     0.91)  ; 192
+                        (   98.98   206.09   -11.37     0.91)  ; 193
+                        (  100.57   206.38   -11.40     0.91)  ; 194
+                        (  103.52   208.39   -11.10     0.91)  ; 195
+                        (  104.20   208.10   -10.02     0.91)  ; 196
+                        (  101.48   206.95   -10.25     0.91)  ; 197
+                        (  102.84   205.52   -10.88     0.91)  ; 198
+                        (  103.75   205.80    -9.93     0.91)  ; 199
+                        (  105.34   207.24   -10.92     0.91)  ; 200
+                        (  105.34   204.94   -12.05     0.91)  ; 201
+                        (  106.02   204.08   -10.55     0.91)  ; 202
+                        (  107.39   203.50    -9.22     0.91)  ; 203
+                        (  108.30   206.38   -11.93     0.91)  ; 204
+                        (  111.48   204.37   -12.07     0.91)  ; 205
+                        (  109.43   204.08   -12.13     0.91)  ; 206
+                        (  108.52   202.93   -11.73     0.91)  ; 207
+                        (  107.61   202.07   -10.97     0.91)  ; 208
+                        (  111.93   202.64    -9.77     0.91)  ; 209
+                        (  114.89   200.06   -10.25     0.91)  ; 210
+                        (  112.61   203.22   -12.40     0.91)  ; 211
+                        (  114.20   203.50   -12.35     0.91)  ; 212
+                        (  115.80   202.35   -12.67     0.91)  ; 213
+                        (  114.20   202.07   -12.50     0.91)  ; 214
+                        (  112.16   200.92   -12.50     0.91)  ; 215
+                        (  151.59   189.14    -7.25     0.45)  ; 216
+                        (  153.63   189.71    -7.10     0.45)  ; 217
+                        (  152.50   189.71    -8.20     0.45)  ; 218
+                        (  151.81   190.86    -7.85     0.45)  ; 219
+                        (  152.50   192.01    -8.18     0.45)  ; 220
+                        (  151.36   192.87    -6.65     0.45)  ; 221
+                        (  147.72   192.30    -6.70     0.45)  ; 222
+                        (  149.77   191.72    -9.02     0.45)  ; 223
+                        (  148.86   194.02   -10.28     0.45)  ; 224
+                        (  145.90   192.87   -10.02     0.45)  ; 225
+                        (  145.68   196.61   -11.22     0.45)  ; 226
+                        (  144.54   196.03   -12.38     0.45)  ; 227
+                        (  143.40   194.60    -9.25     0.45)  ; 228
+                        (  145.22   194.31    -9.63     0.45)  ; 229
+                        (  143.86   198.04   -10.97     0.45)  ; 230
+                        (  142.04   195.46   -11.35     0.45)  ; 231
+                        (  139.54   196.61   -12.52     0.45)  ; 232
+                        (  133.40   196.61   -12.88     0.45)  ; 233
+                        (  136.59   198.33   -10.07     0.45)  ; 234
+                        (  132.72   199.19    -8.60     0.45)  ; 235
+                        (  131.81   196.90   -10.35     0.45)  ; 236
+                        (  130.90   196.90    -9.77     0.45)  ; 237
+                        (  129.77   197.47   -10.77     0.45)  ; 238
+                        (  130.22   200.06   -10.77     0.45)  ; 239
+                        (  128.63   199.48    -9.48     0.45)  ; 240
+                        (  135.45   198.91   -12.60     0.45)  ; 241
+                        (  134.31   199.19   -12.60     0.45)  ; 242
+                        (  125.68   200.06   -11.58     0.45)  ; 243
+                        (  120.68   200.34   -12.10     0.45)  ; 244
+                        (  121.36   197.18   -11.70     0.45)  ; 245
+                        (  119.54   197.76   -10.60     0.45)  ; 246
+                        (  120.22   198.04   -12.27     0.45)  ; 247
+                        (  125.45   196.90   -11.93     0.45)  ; 248
+                        (  126.59   197.76   -10.33     0.45)  ; 249
+                        (  123.40   199.48   -10.77     0.45)  ; 250
+                        (  116.81   198.33   -12.27     0.45)  ; 251
+                        (  117.72   200.63   -12.45     0.45)  ; 252
+                      )  ;  End of markers
+                       Normal
+                    |
+                      (  -26.36   208.60   -34.60     4.09)  ; 1, R-2-2-2-2-2-2-2-2-1-2
+                      (  -25.91   210.32   -36.47     4.09)  ; 2
+                      (
+                        (  -24.82   209.97   -37.32     1.36)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1
+                        (  -23.23   209.97   -38.35     1.36)  ; 2
+                        (  -20.73   209.68   -39.28     1.14)  ; 3
+                        (  -19.37   209.39   -40.13     1.36)  ; 4
+                        (  -17.32   208.53   -40.92     1.36)  ; 5
+                        (  -15.05   208.24   -40.92     1.59)  ; 6
+                        (  -12.78   207.96   -41.22     1.59)  ; 7
+                        (  -10.73   207.38   -41.45     1.59)  ; 8
+                        (   -8.46   207.09   -41.57     1.59)  ; 9
+                        (   -5.50   206.52   -41.28     1.59)  ; 10
+                        (   -3.69   206.81   -41.28     1.59)  ; 11
+
+                        (FilledCircle
+                          (Color Yellow)
+                          (Name "Marker 11")
+                          (   -5.50   208.53   -41.17     1.59)  ; 1
+                          (   -7.55   208.24   -40.52     1.59)  ; 2
+                          (   -8.91   208.24   -40.03     1.59)  ; 3
+                          (  -10.73   205.37   -40.77     1.59)  ; 4
+                          (   -7.55   206.52   -39.13     1.59)  ; 5
+                          (  -11.64   206.23   -39.90     1.59)  ; 6
+                          (  -11.87   206.23   -42.47     1.59)  ; 7
+                          (  -13.46   209.39   -39.47     1.59)  ; 8
+                          (  -16.41   209.97   -39.47     1.59)  ; 9
+                          (  -18.69   207.38   -39.38     1.59)  ; 10
+                          (  -17.32   207.09   -39.30     1.59)  ; 11
+                          (  -15.50   206.52   -39.38     1.59)  ; 12
+                          (  -13.91   206.52   -39.72     1.59)  ; 13
+                        )  ;  End of markers
+                        (
+                          (   -2.52   206.14   -42.37     1.36)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1-1
+                          (   -0.47   205.85   -43.22     1.36)  ; 2
+                          (    2.03   206.14   -43.53     1.14)  ; 3
+                          (    4.07   205.85   -43.82     1.14)  ; 4
+                          (    5.89   205.28   -43.45     1.14)  ; 5
+                          (    7.94   204.99   -43.82     0.91)  ; 6
+                          (    9.75   205.28   -43.82     0.91)  ; 7
+                          (   11.57   205.28   -43.82     1.14)  ; 8
+                          (   13.16   205.56   -44.67     1.14)  ; 9
+                          (   15.44   204.99   -44.67     1.14)  ; 10
+                          (   17.48   204.99   -44.67     1.36)  ; 11
+                          (   20.21   205.28   -44.67     1.14)  ; 12
+                          (   22.25   205.85   -45.68     1.14)  ; 13
+                          (   24.98   205.85   -45.32     0.91)  ; 14
+                          (   27.25   206.14   -45.32     0.91)  ; 15
+                          (   29.98   206.71   -45.32     0.91)  ; 16
+                          (   32.94   208.15   -45.32     1.14)  ; 17
+                          (   33.73   208.74   -45.88     1.14)  ; 18
+                          (   36.00   209.32   -45.27     1.14)  ; 19
+                          (   38.50   210.46   -45.30     0.91)  ; 20
+                          (   41.00   211.33   -45.30     0.91)  ; 21
+                          (   43.05   212.19   -45.75     1.14)  ; 22
+                          (   44.87   212.19   -44.83     1.14)  ; 23
+                          (   47.14   211.90   -44.78     1.14)  ; 24
+                          (   48.96   211.90   -45.55     1.59)  ; 25
+                          (   50.78   211.90   -46.15     1.59)  ; 26
+                          (   52.82   211.61   -47.00     1.36)  ; 27
+                          (   55.10   212.19   -47.47     1.14)  ; 28
+                          (   56.69   212.19   -47.60     1.14)  ; 29
+                          (   57.82   212.48   -48.58     1.14)  ; 30
+                          (   59.64   211.90   -48.65     1.14)  ; 31
+                          (   61.91   212.48   -49.17     1.14)  ; 32
+                          (   63.96   213.34   -47.33     1.36)  ; 33
+                          (   65.55   213.91   -47.95     1.14)  ; 34
+                          (   67.82   214.20   -49.07     0.68)  ; 35
+                          (   68.73   213.91   -49.72     0.68)  ; 36
+                          (   69.87   212.48   -50.38     0.91)  ; 37
+                          (   69.87   211.04   -51.65     1.14)  ; 38
+                          (   69.64   210.46   -52.22     1.14)  ; 39
+                          (   69.87   209.60   -52.47     1.14)  ; 40
+                          (   70.78   209.03   -53.05     1.14)  ; 41
+                          (   72.60   208.17   -53.02     1.14)  ; 42
+                          (   75.10   208.45   -53.02     1.14)  ; 43
+                          (   76.91   207.88   -53.10     1.14)  ; 44
+                          (   78.28   207.59   -50.92     1.14)  ; 45
+                          (   79.64   207.88   -52.25     1.14)  ; 46
+                          (   81.46   208.45   -53.07     1.14)  ; 47
+                          (   82.82   208.45   -54.10     1.14)  ; 48
+                          (   84.41   207.88   -54.43     1.14)  ; 49
+                          (   86.00   207.59   -54.43     1.14)  ; 50
+                          (   87.14   208.17   -54.72     1.14)  ; 51
+                          (   88.96   207.59   -54.78     1.14)  ; 52
+                          (   91.23   207.88   -55.42     0.91)  ; 53
+                          (   93.50   207.88   -55.65     0.91)  ; 54
+                          (   96.00   207.02   -56.17     0.91)  ; 55
+                          (   96.91   206.73   -57.10     0.91)  ; 56
+                          (   98.96   206.15   -57.28     0.91)  ; 57
+                          (  101.00   206.44   -57.88     1.14)  ; 58
+                          (  102.37   206.44   -58.38     1.14)  ; 59
+                          (  102.82   206.15   -58.90     1.14)  ; 60
+                          (  103.73   206.44   -59.02     1.14)  ; 61
+                          (  105.55   206.73   -59.87     0.91)  ; 62
+                          (  107.14   206.44   -60.05     0.91)  ; 63
+                          (  108.28   206.15   -61.10     0.91)  ; 64
+                          (  109.87   207.02   -61.97     0.91)  ; 65
+                          (  111.46   207.30   -62.37     0.91)  ; 66
+                          (  112.60   207.30   -62.97     0.91)  ; 67
+                          (  113.50   207.30   -63.97     0.91)  ; 68
+                          (  114.87   207.59   -64.72     0.91)  ; 69
+                          (  116.00   208.17   -65.35     0.91)  ; 70
+                          (  116.69   208.17   -65.82     0.91)  ; 71
+                          (  116.69   207.30   -66.75     0.91)  ; 72
+                          (  117.37   206.44   -67.03     0.91)  ; 73
+                          (  117.82   207.02   -67.82     0.91)  ; 74
+                          (  117.82   207.30   -69.18     0.91)  ; 75
+                          (  118.50   208.17   -69.85     0.91)  ; 76
+                          (  119.41   208.74   -70.60     0.91)  ; 77
+                          (  120.55   208.74   -70.65     0.91)  ; 78
+                          (  121.46   210.46   -70.65     0.91)  ; 79
+                          (  123.73   210.46   -71.28     0.68)  ; 80
+                          (  125.32   210.46   -71.92     0.68)  ; 81
+                          (  126.23   211.04   -72.22     0.68)  ; 82
+                          (  127.37   210.75   -73.42     0.68)  ; 83
+                          (  128.73   210.75   -73.57     0.68)  ; 84
+                          (  131.00   211.61   -74.35     0.68)  ; 85
+                          (  132.14   211.04   -76.13     0.68)  ; 86
+                          (  132.60   211.33   -77.03     0.68)  ; 87
+                          (  133.28   211.90   -77.82     0.68)  ; 88
+                          (  134.19   212.19   -78.38     0.68)  ; 89
+                          (  135.10   211.90   -79.07     0.68)  ; 90
+                          (  136.69   211.90   -79.57     0.68)  ; 91
+                          (  137.60   212.48   -80.10     0.68)  ; 92
+                          (  139.41   212.76   -80.55     0.68)  ; 93
+                          (  140.10   211.90   -81.30     0.68)  ; 94
+                          (  141.23   211.61   -82.83     0.68)  ; 95
+                          (  142.60   211.33   -83.42     0.68)  ; 96
+                          (  144.64   209.89   -84.55     0.68)  ; 97
+                          (  146.00   209.03   -85.25     0.68)  ; 98
+                          (  149.41   209.03   -85.73     0.45)  ; 99
+                          (  151.23   208.74   -86.45     0.68)  ; 100
+                          (  153.96   207.59   -87.28     0.68)  ; 101
+                          (  156.46   206.73   -88.00     0.68)  ; 102
+                          (  158.73   205.58   -88.70     0.68)  ; 103
+                          (  160.10   204.14   -88.97     0.68)  ; 104
+                          (  161.33   203.28   -88.85     0.91)  ; 105
+                          (  164.06   202.71   -89.50     0.91)  ; 106
+                          (  166.10   202.99   -90.28     0.68)  ; 107
+                          (  168.60   203.28   -91.32     0.68)  ; 108
+                          (  169.51   202.99   -92.38     0.68)  ; 109
+                          (  171.10   203.28   -93.65     0.68)  ; 110
+                          (  172.92   202.71   -94.78     0.68)  ; 111
+                          (  174.06   202.71   -96.20     0.68)  ; 112
+
+                          (FilledCircle
+                            (Color Yellow)
+                            (Name "Marker 11")
+                            (   30.89   205.56   -43.07     1.14)  ; 1
+                            (   29.07   207.86   -43.90     1.14)  ; 2
+                            (   28.16   207.00   -48.02     1.14)  ; 3
+                            (   23.62   207.29   -46.95     1.14)  ; 4
+                            (   20.89   207.00   -45.90     1.14)  ; 5
+                            (   28.16   204.13   -45.07     1.14)  ; 6
+                            (   28.62   205.56   -43.53     1.14)  ; 7
+                            (   24.98   204.99   -43.00     1.14)  ; 8
+                            (   27.03   204.70   -45.13     1.14)  ; 9
+                            (   29.75   205.56   -44.85     1.14)  ; 10
+                            (   25.21   207.58   -44.90     1.14)  ; 11
+                            (   18.39   204.13   -43.97     1.14)  ; 12
+                            (   15.21   203.84   -46.20     1.14)  ; 13
+                            (   16.57   202.98   -44.38     1.14)  ; 14
+                            (   17.48   204.13   -44.47     1.14)  ; 15
+                            (   17.25   206.43   -43.70     1.14)  ; 16
+                            (   13.85   203.55   -44.63     1.14)  ; 17
+                            (   14.30   206.71   -43.58     1.14)  ; 18
+                            (   15.66   207.00   -43.33     1.14)  ; 19
+                            (   12.03   203.84   -43.72     1.14)  ; 20
+                            (   13.85   205.28   -41.12     1.14)  ; 21
+                            (    8.85   203.27   -41.63     1.14)  ; 22
+                            (    9.98   204.41   -41.65     1.14)  ; 23
+                            (   11.35   205.56   -42.37     1.14)  ; 24
+                            (    7.03   203.84   -40.32     1.14)  ; 25
+                            (    7.25   204.41   -44.58     1.14)  ; 26
+                            (    5.21   204.13   -41.55     1.14)  ; 27
+                            (    6.12   206.43   -41.75     1.14)  ; 28
+                            (    4.53   207.00   -43.92     1.14)  ; 29
+                            (    3.62   204.70   -43.40     1.14)  ; 30
+                            (    1.12   205.28   -44.38     1.14)  ; 31
+                            (    0.21   207.00   -41.22     1.14)  ; 32
+                            (    1.80   206.71   -41.38     1.14)  ; 33
+                            (   -1.15   207.58   -42.17     1.14)  ; 34
+                            (   31.57   209.30   -46.00     1.14)  ; 35
+                            (   31.35   207.86   -45.72     1.14)  ; 36
+                            (   32.25   206.71   -45.88     1.14)  ; 37
+                            (   74.87   205.87   -51.80     1.14)  ; 38
+                            (   72.82   210.46   -51.05     1.14)  ; 39
+                            (   71.23   207.88   -54.02     1.14)  ; 40
+                            (   69.19   207.88   -50.83     1.14)  ; 41
+                            (   69.64   209.32   -52.28     1.14)  ; 42
+                            (   77.37   207.02   -51.55     1.14)  ; 43
+                            (   68.73   214.77   -48.62     1.14)  ; 44
+                            (   69.64   213.91   -51.28     1.14)  ; 45
+                            (   67.14   212.48   -45.83     1.14)  ; 46
+                            (   65.55   212.48   -45.50     1.14)  ; 47
+                            (   61.23   211.04   -45.15     1.14)  ; 48
+                            (   62.37   211.61   -45.17     1.14)  ; 49
+                            (   63.05   210.75   -45.97     1.14)  ; 50
+                            (   64.41   213.63   -45.35     1.14)  ; 51
+                            (   64.87   215.06   -48.10     1.14)  ; 52
+                            (   61.91   214.20   -46.28     1.14)  ; 53
+                            (   60.78   213.34   -48.40     1.14)  ; 54
+                            (   58.96   214.20   -49.70     1.14)  ; 55
+                            (   57.14   213.63   -49.55     1.14)  ; 56
+                            (   57.14   209.89   -46.50     1.14)  ; 57
+                            (   59.64   211.04   -48.30     1.14)  ; 58
+                            (   57.60   211.04   -48.02     1.14)  ; 59
+                            (   53.50   213.34   -46.10     1.14)  ; 60
+                            (   51.91   213.05   -44.92     1.14)  ; 61
+                            (   52.82   211.04   -47.08     1.14)  ; 62
+                            (   50.55   210.46   -45.00     1.14)  ; 63
+                            (   48.05   209.89   -45.00     1.14)  ; 64
+                            (   49.41   210.46   -44.90     1.14)  ; 65
+                            (   48.05   213.34   -45.50     1.14)  ; 66
+                            (   45.10   214.20   -45.22     1.14)  ; 67
+                            (   46.69   213.91   -45.88     1.14)  ; 68
+                            (   46.91   211.33   -43.30     1.14)  ; 69
+                            (   43.96   213.63   -44.75     1.14)  ; 70
+                            (   38.96   211.61   -42.82     1.14)  ; 71
+                            (   39.87   211.61   -43.55     1.14)  ; 72
+                            (   40.55   209.89   -43.78     1.14)  ; 73
+                            (   36.91   211.33   -44.67     1.14)  ; 74
+                            (   35.10   210.46   -45.35     1.14)  ; 75
+                            (   38.28   208.45   -44.10     1.14)  ; 76
+                            (   34.87   208.45   -45.80     1.14)  ; 77
+                            (   71.00   213.05   -51.55     1.14)  ; 78
+                            (   70.78   211.61   -50.13     1.14)  ; 79
+                            (  157.60   204.43   -87.72     0.68)  ; 80
+                            (  156.23   205.87   -87.35     0.68)  ; 81
+                            (  153.73   206.44   -85.33     0.68)  ; 82
+                            (  153.73   207.30   -87.90     0.68)  ; 83
+                            (  154.64   208.45   -85.80     0.68)  ; 84
+                            (  153.50   209.32   -86.00     0.68)  ; 85
+                            (  151.00   209.89   -83.27     0.68)  ; 86
+                            (  147.82   209.89   -84.80     0.68)  ; 87
+                            (  146.46   208.74   -83.15     0.68)  ; 88
+                            (  144.87   209.89   -81.60     0.68)  ; 89
+                            (  144.87   208.45   -81.77     0.68)  ; 90
+                            (  141.23   210.46   -81.88     0.68)  ; 91
+                            (  141.91   213.05   -79.80     0.68)  ; 92
+                            (  140.32   213.34   -79.92     0.68)  ; 93
+                            (  139.19   211.33   -77.03     0.68)  ; 94
+                            (  136.91   211.04   -77.60     0.68)  ; 95
+                            (  134.19   213.34   -77.13     0.68)  ; 96
+                            (  133.28   213.05   -74.72     0.68)  ; 97
+                            (  132.37   210.18   -72.20     0.68)  ; 98
+                            (  133.28   210.75   -76.25     0.68)  ; 99
+                            (  129.19   212.19   -72.32     0.68)  ; 100
+                            (  128.73   210.75   -71.97     0.68)  ; 101
+                            (  127.14   210.18   -71.15     0.68)  ; 102
+                            (  123.73   209.32   -69.18     0.68)  ; 103
+                            (  121.00   211.61   -68.88     0.68)  ; 104
+                            (  121.91   208.74   -68.95     0.68)  ; 105
+                            (  119.87   207.02   -69.35     0.68)  ; 106
+                            (  118.50   209.32   -68.78     0.68)  ; 107
+                            (  119.87   207.59   -66.85     0.68)  ; 108
+                            (  117.37   206.15   -66.68     0.68)  ; 109
+                            (  116.00   206.73   -62.88     0.68)  ; 110
+                            (  112.82   208.74   -61.80     0.68)  ; 111
+                            (  113.50   207.02   -61.97     0.68)  ; 112
+                            (  111.69   206.44   -59.17     0.68)  ; 113
+                            (  109.19   204.14   -59.80     0.68)  ; 114
+                            (  107.60   204.14   -59.83     0.68)  ; 115
+                            (  105.55   205.87   -57.30     0.68)  ; 116
+                            (  104.41   205.29   -58.02     0.68)  ; 117
+                            (  102.60   204.72   -56.90     0.68)  ; 118
+                            (   99.41   205.29   -55.45     0.68)  ; 119
+                            (  101.91   205.58   -55.47     0.68)  ; 120
+                            (  100.10   205.29   -58.00     0.68)  ; 121
+                            (  106.69   207.59   -58.35     0.68)  ; 122
+                            (   81.91   207.02   -52.77     0.68)  ; 123
+                            (   83.50   206.73   -53.85     0.68)  ; 124
+                            (   83.28   209.03   -53.25     0.68)  ; 125
+                            (   80.32   207.02   -52.15     0.68)  ; 126
+                            (   81.23   207.30   -49.83     0.68)  ; 127
+                            (   85.10   208.74   -53.27     0.68)  ; 128
+                            (   90.78   206.73   -52.45     0.68)  ; 129
+                            (   92.37   209.32   -56.25     0.68)  ; 130
+                            (   94.19   206.73   -54.05     0.68)  ; 131
+                            (   94.87   208.45   -55.75     0.68)  ; 132
+                            (   96.91   205.58   -55.47     0.68)  ; 133
+                            (   78.28   206.73   -52.35     0.68)  ; 134
+                            (   73.50   210.18   -52.47     0.68)  ; 135
+                            (  175.20   204.72   -93.90     0.68)  ; 136
+                            (  172.70   201.84   -92.05     0.68)  ; 137
+                            (  169.51   201.84   -91.70     0.68)  ; 138
+                            (  167.24   203.86   -88.65     0.68)  ; 139
+                            (  165.20   202.99   -89.72     0.68)  ; 140
+                            (  162.24   202.13   -89.25     0.68)  ; 141
+                          )  ;  End of markers
+                           Normal
+                        |
+                          (   -3.00   206.52   -40.55     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1-2
+                          (   -2.32   205.08   -39.75     0.91)  ; 2
+                          (   -1.64   203.65   -38.27     1.14)  ; 3
+                          (   -0.28   202.50   -38.47     1.14)  ; 4
+                          (    1.54   201.35   -37.47     1.36)  ; 5
+                          (    2.68   199.62   -36.55     1.36)  ; 6
+                          (    3.81   197.32   -35.80     1.36)  ; 7
+                          (    5.18   195.31   -35.38     1.36)  ; 8
+                          (    6.77   193.59   -35.40     1.36)  ; 9
+                          (    9.04   192.73   -35.77     1.36)  ; 10
+                          (   12.22   191.29   -36.03     1.36)  ; 11
+                          (   13.45   190.76   -35.70     1.36)  ; 12
+                          (   14.36   189.61   -34.88     1.36)  ; 13
+                          (   15.05   188.46   -34.00     1.14)  ; 14
+                          (   15.05   187.60   -33.38     1.14)  ; 15
+                          (   16.41   186.45   -33.38     1.14)  ; 16
+                          (   17.09   185.58   -32.97     1.14)  ; 17
+                          (   18.00   184.44   -32.67     1.14)  ; 18
+                          (   18.68   183.00   -32.50     1.14)  ; 19
+                          (   18.68   181.27   -32.35     1.14)  ; 20
+                          (   19.59   180.13   -32.35     1.14)  ; 21
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+                          (   93.10    87.89   -10.92     0.45)  ; 82
+
+                          (FilledCircle
+                            (Color Yellow)
+                            (Name "Marker 11")
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+                            (   76.51   132.71   -26.42     0.45)  ; 178
+                            (   75.38   134.44   -24.45     0.45)  ; 179
+                            (   75.60   132.14   -22.73     0.45)  ; 180
+                            (   74.24   132.71   -22.77     0.45)  ; 181
+                            (   70.38   135.30   -22.97     0.45)  ; 182
+                            (   69.24   136.45   -23.10     0.45)  ; 183
+                            (   67.20   137.60   -24.65     0.45)  ; 184
+                            (   67.88   137.31   -21.63     0.45)  ; 185
+                            (   69.47   139.61   -21.63     0.45)  ; 186
+                            (   68.33   141.91   -23.23     0.45)  ; 187
+                            (   68.33   140.76   -21.67     0.45)  ; 188
+                            (   72.65   137.60   -24.10     0.45)  ; 189
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+                            (   70.83   138.75   -23.45     0.45)  ; 191
+                            (    2.67   197.04   -36.35     0.68)  ; 192
+                          )  ;  End of markers
+                           Normal
+                        )  ;  End of split
+                      |
+                        (  -25.23   213.20   -36.47     4.09)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2
+                        (  -24.09   216.36   -37.17     4.09)  ; 2
+                        (  -23.41   218.37   -38.20     4.09)  ; 3
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+                        (  -20.68   223.25   -39.20     4.09)  ; 5
+
+                        (FilledCircle
+                          (Color Yellow)
+                          (Name "Marker 11")
+                          (  -20.68   218.08   -38.15     4.09)  ; 1
+                          (  -27.05   219.23   -37.02     4.09)  ; 2
+                          (  -21.14   218.66   -34.97     4.09)  ; 3
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+                          (  -24.09   224.69   -40.22     4.09)  ; 7
+                          (  -23.18   223.54   -36.05     4.09)  ; 8
+                        )  ;  End of markers
+                        (
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+                          (  -19.37   222.61   -42.45     2.05)  ; 2
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+                          (  -17.78   218.01   -53.35     2.05)  ; 11
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+                          (  -12.10   213.13   -57.20     2.05)  ; 16
+                          (  -12.10   213.99   -58.50     2.05)  ; 17
+                          (  -12.55   215.14   -59.67     2.05)  ; 18
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+                          (  -16.19   214.28   -71.32     2.05)  ; 24
+                          (  -16.42   213.99   -73.93     2.05)  ; 25
+                          (  -17.33   213.42   -75.72     2.05)  ; 26
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+
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+                            (Color Yellow)
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+                            (    5.63   195.31  -114.38     1.36)  ; 16
+                          )  ;  End of markers
+                           Normal
+                        |
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+                            (   -5.45   361.17   -43.75     3.64)  ; 160
+                            (   -6.14   364.62   -44.83     3.64)  ; 161
+                            (   -6.14   368.07   -44.85     3.64)  ; 162
+                            (   -5.91   370.08   -45.27     3.64)  ; 163
+                            (  -12.95   367.49   -44.15     3.64)  ; 164
+                            (  -11.59   368.36   -44.02     3.64)  ; 165
+                            (  -11.36   366.34   -44.67     3.64)  ; 166
+                            (   -5.45   372.38   -47.82     3.64)  ; 167
+                            (   -6.82   373.82   -47.30     3.64)  ; 168
+                            (   -6.14   375.83   -45.70     3.64)  ; 169
+                            (   -4.77   374.10   -43.55     3.64)  ; 170
+                            (  -11.14   369.79   -44.90     3.64)  ; 171
+                            (  -12.05   371.80   -47.47     3.64)  ; 172
+                            (  -10.91   373.24   -43.07     3.64)  ; 173
+                            (  -12.05   375.25   -43.35     3.64)  ; 174
+                            (  -12.05   376.98   -44.58     3.64)  ; 175
+                            (   -7.05   377.55   -44.50     3.64)  ; 176
+                            (   -2.50   408.87   -53.18     3.41)  ; 177
+                            (   -1.59   407.43   -53.18     3.41)  ; 178
+                            (   -2.50   404.56   -49.70     3.41)  ; 179
+                            (   -2.73   406.00   -48.50     3.41)  ; 180
+                            (   -2.95   402.26   -49.55     3.41)  ; 181
+                            (   -1.82   401.11   -50.40     3.41)  ; 182
+                            (   -2.95   399.39   -49.45     3.41)  ; 183
+                            (   -2.95   401.11   -50.70     3.41)  ; 184
+                            (   -2.73   398.53   -48.90     3.41)  ; 185
+                            (   -3.41   395.94   -52.88     3.41)  ; 186
+                            (   -3.41   394.79   -52.90     3.41)  ; 187
+                            (   -2.50   390.19   -48.95     3.41)  ; 188
+                            (   -3.41   391.05   -48.53     3.41)  ; 189
+                            (   -5.23   389.62   -50.45     3.41)  ; 190
+                            (   -5.68   387.32   -47.65     3.41)  ; 191
+                            (   -6.14   384.73   -46.38     3.41)  ; 192
+                            (   -6.82   383.01   -46.80     3.41)  ; 193
+                            (   -6.36   379.56   -45.75     3.41)  ; 194
+                            (   -7.05   381.00   -47.42     3.41)  ; 195
+                            (  -12.05   378.99   -42.22     3.41)  ; 196
+                            (  -11.82   380.71   -46.65     3.41)  ; 197
+                            (  -12.05   382.44   -48.10     3.41)  ; 198
+                            (  -11.59   384.45   -45.38     3.41)  ; 199
+                            (  -11.59   386.17   -49.83     3.41)  ; 200
+                            (  -11.14   387.89   -48.27     3.41)  ; 201
+                            (  -10.68   389.62   -46.65     3.41)  ; 202
+                            (  -10.23   390.77   -51.00     3.41)  ; 203
+                            (   -9.55   391.92   -50.88     3.41)  ; 204
+                            (   -9.32   393.07   -50.88     3.41)  ; 205
+                            (   -8.64   394.79   -49.97     3.41)  ; 206
+                            (   -8.64   396.80   -49.70     3.41)  ; 207
+                            (   -7.50   398.53   -48.47     3.41)  ; 208
+                            (   -8.86   399.10   -50.50     3.41)  ; 209
+                            (   -7.73   402.26   -49.02     3.41)  ; 210
+                            (   -8.64   404.27   -49.27     3.41)  ; 211
+                            (   -8.41   407.15   -52.70     3.41)  ; 212
+                            (   -8.86   406.28   -49.92     3.41)  ; 213
+                            (   -7.95   408.29   -49.97     3.41)  ; 214
+                            (   -7.50   409.16   -49.75     3.41)  ; 215
+                            (   -2.50   408.58   -50.85     3.41)  ; 216
+                            (   -2.05   411.17   -51.20     3.41)  ; 217
+                            (   -1.59   410.02   -52.10     3.41)  ; 218
+                            (   -3.86   403.41   -54.32     3.41)  ; 219
+                            (   -8.64   403.12   -53.67     3.41)  ; 220
+                            (   -5.08   460.61   -59.85     3.41)  ; 221
+                            (   -4.85   459.75   -59.95     3.41)  ; 222
+                            (    1.51   457.17   -60.15     3.41)  ; 223
+                            (    1.28   458.60   -60.17     3.41)  ; 224
+                            (    0.15   456.59   -59.13     3.41)  ; 225
+                            (   -5.54   455.15   -58.35     3.41)  ; 226
+                            (    0.37   453.72   -58.27     3.41)  ; 227
+                            (   -0.31   450.56   -60.50     3.41)  ; 228
+                            (   -0.54   448.83   -57.85     3.41)  ; 229
+                            (   -6.67   446.54   -57.13     3.41)  ; 230
+                            (   -7.58   444.52   -58.00     3.41)  ; 231
+                            (   -0.99   442.80   -57.02     3.41)  ; 232
+                            (   -0.54   446.54   -60.42     3.41)  ; 233
+                            (   -0.76   445.39   -60.05     3.41)  ; 234
+                            (   -5.54   451.42   -61.67     3.41)  ; 235
+                            (   -5.76   452.86   -61.70     3.41)  ; 236
+                            (   -8.26   441.08   -56.30     3.41)  ; 237
+                            (   -3.26   439.35   -57.57     3.41)  ; 238
+                            (   -2.81   435.90   -57.10     3.41)  ; 239
+                            (   -3.04   433.03   -57.70     3.41)  ; 240
+                            (   -3.72   437.92   -59.20     3.41)  ; 241
+                            (   -8.26   439.06   -59.20     3.41)  ; 242
+                            (   -9.40   436.19   -55.60     3.41)  ; 243
+                            (   -8.26   437.92   -56.42     3.41)  ; 244
+                            (   -7.58   430.16   -54.15     3.41)  ; 245
+                            (   -7.35   427.86   -52.08     3.41)  ; 246
+                            (   -8.26   425.27   -52.50     3.41)  ; 247
+                            (   -6.67   423.84   -50.75     3.41)  ; 248
+                            (   -7.13   419.24   -52.77     3.41)  ; 249
+                            (   -8.04   417.23   -50.70     3.41)  ; 250
+                            (   -7.81   416.37   -51.67     3.41)  ; 251
+                            (   -2.35   413.78   -52.95     3.41)  ; 252
+                            (   -2.58   420.39   -53.13     3.41)  ; 253
+                            (   -1.67   425.56   -52.88     3.41)  ; 254
+                            (   -2.81   423.55   -52.88     3.41)  ; 255
+                            (   -2.35   427.57   -54.97     3.41)  ; 256
+                            (   -2.58   429.01   -54.97     3.41)  ; 257
+                            (   -2.81   430.73   -54.97     3.41)  ; 258
+                            (   -2.58   424.99   -56.75     3.41)  ; 259
+                            (   -2.81   415.79   -55.85     3.41)  ; 260
+                            (   -2.58   418.09   -53.75     3.41)  ; 261
+                            (   -4.40   462.08   -58.20     3.41)  ; 262
+                            (    0.60   461.22   -60.80     3.41)  ; 263
+                            (    1.28   462.94   -61.45     3.41)  ; 264
+                            (   -0.31   455.18   -59.45     3.41)  ; 265
+                          )  ;  End of markers
+                          (
+                            (   -1.45   464.95   -61.17     3.18)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1
+                            (   -0.31   467.54   -60.75     2.73)  ; 2
+                            (    0.15   470.13   -60.75     2.27)  ; 3
+                            (   -0.54   473.57   -60.75     2.27)  ; 4
+                            (   -0.54   476.16   -60.10     2.27)  ; 5
+                            (   -0.31   478.46   -59.35     2.50)  ; 6
+                            (    0.60   480.76   -58.88     2.50)  ; 7
+                            (    0.60   483.63   -58.92     2.50)  ; 8
+                            (    1.74   488.52   -58.65     2.27)  ; 9
+                            (    3.10   491.68   -57.75     2.50)  ; 10
+                            (    4.24   495.12   -57.77     2.50)  ; 11
+                            (    5.37   497.71   -58.30     2.50)  ; 12
+                            (    6.05   501.16   -58.30     2.50)  ; 13
+                            (    6.05   504.61   -58.72     2.50)  ; 14
+                            (    5.60   507.19   -58.72     2.50)  ; 15
+                            (    5.15   509.49   -58.72     2.50)  ; 16
+                            (    6.05   512.08   -57.88     2.50)  ; 17
+                            (    7.87   514.95   -58.75     2.50)  ; 18
+                            (    8.10   517.82   -58.80     2.50)  ; 19
+                            (    8.33   522.99   -59.07     2.50)  ; 20
+                            (    9.01   527.30   -59.07     2.50)  ; 21
+                            (    9.46   530.75   -58.50     2.27)  ; 22
+                            (    9.69   533.05   -60.05     2.27)  ; 23
+                            (    9.69   535.35   -61.52     2.27)  ; 24
+                            (    9.69   538.51   -61.57     2.50)  ; 25
+                            (    9.69   540.81   -60.03     2.50)  ; 26
+                            (    8.78   544.26   -60.50     2.27)  ; 27
+                            (    8.33   547.42   -60.50     2.27)  ; 28
+                            (    8.55   550.58   -60.55     2.27)  ; 29
+                            (    9.01   552.59   -60.67     2.27)  ; 30
+                            (    8.55   554.60   -60.70     2.50)  ; 31
+                            (    8.33   556.90   -60.70     2.50)  ; 32
+                            (    9.46   559.77   -61.22     2.50)  ; 33
+                            (   10.15   563.22   -61.25     2.27)  ; 34
+                            (   10.15   567.24   -62.25     2.27)  ; 35
+                            (   10.37   571.27   -62.42     2.27)  ; 36
+                            (   10.83   575.29   -62.45     2.27)  ; 37
+                            (   11.05   579.89   -62.45     2.27)  ; 38
+                            (   11.28   583.05   -61.97     2.05)  ; 39
+                            (   12.65   584.77   -62.67     1.82)  ; 40
+                            (   13.33   587.07   -62.95     1.82)  ; 41
+                            (   12.87   587.93   -63.05     2.27)  ; 42
+                            (   11.74   590.52   -63.05     2.50)  ; 43
+                            (   11.05   592.82   -62.50     2.50)  ; 44
+                            (   11.05   595.11   -62.75     2.50)  ; 45
+                            (   11.74   597.41   -62.75     2.27)  ; 46
+                            (   12.42   599.42   -62.75     2.27)  ; 47
+                            (   12.42   602.01   -62.75     2.27)  ; 48
+                            (   11.96   604.60   -62.67     2.27)  ; 49
+                            (   11.74   606.61   -62.57     2.27)  ; 50
+                            (   12.65   609.19   -62.37     2.27)  ; 51
+                            (   13.55   611.49   -61.40     2.50)  ; 52
+                            (   13.78   614.08   -60.70     2.50)  ; 53
+                            (   14.01   616.09   -60.42     2.50)  ; 54
+                            (   14.01   619.54   -60.42     2.50)  ; 55
+                            (   14.46   623.27   -60.00     2.50)  ; 56
+                            (   15.37   626.43   -60.52     2.50)  ; 57
+                            (   15.15   629.02   -60.55     2.50)  ; 58
+                            (   15.15   632.75   -60.55     2.50)  ; 59
+                            (   16.51   635.34   -60.88     2.27)  ; 60
+                            (   17.19   637.06   -60.90     2.27)  ; 61
+                            (   16.96   639.65   -60.90     2.27)  ; 62
+                            (   15.83   643.39   -60.90     2.05)  ; 63
+                            (   15.60   646.83   -59.72     2.27)  ; 64
+                            (   14.69   650.57   -59.13     2.27)  ; 65
+                            (   14.23   651.75   -58.92     2.50)  ; 66
+                            (   14.23   654.33   -58.92     2.50)  ; 67
+                            (   14.23   656.63   -58.92     2.50)  ; 68
+                            (   14.23   658.07   -58.92     2.50)  ; 69
+                            (   13.78   661.52   -59.78     2.27)  ; 70
+                            (   13.55   664.96   -60.07     2.27)  ; 71
+                            (   13.10   668.13   -60.65     2.05)  ; 72
+                            (   13.55   671.00   -61.03     2.50)  ; 73
+                            (   13.32   675.02   -61.67     2.50)  ; 74
+                            (   13.78   678.76   -61.30     2.27)  ; 75
+                            (   14.91   681.63   -61.40     2.27)  ; 76
+                            (   15.37   685.08   -61.38     2.27)  ; 77
+                            (   15.37   688.81   -61.38     2.27)  ; 78
+                            (   15.87   691.14   -62.37     2.50)  ; 79
+                            (   15.87   693.15   -62.37     2.50)  ; 80
+                            (   15.65   695.74   -62.37     2.27)  ; 81
+                            (   15.42   697.75   -63.00     2.27)  ; 82
+                            (   15.87   699.19   -63.90     2.27)  ; 83
+                            (   16.33   700.91   -64.55     2.27)  ; 84
+                            (   16.33   702.06   -64.55     2.27)  ; 85
+                            (   15.87   704.65   -64.55     2.27)  ; 86
+                            (   15.42   708.10   -64.65     2.27)  ; 87
+                            (   15.65   710.97   -63.97     2.27)  ; 88
+                            (   15.87   712.98   -63.97     2.27)  ; 89
+                            (   15.42   714.70   -64.60     2.27)  ; 90
+                            (   15.42   716.14   -65.40     2.27)  ; 91
+                            (   15.42   719.01   -65.97     2.27)  ; 92
+                            (   15.65   722.46   -66.40     2.27)  ; 93
+                            (   15.65   725.05   -67.10     2.27)  ; 94
+                            (   16.33   728.50   -67.35     2.27)  ; 95
+                            (   17.01   731.37   -67.70     2.27)  ; 96
+                            (   17.46   734.24   -68.32     2.27)  ; 97
+                            (   17.92   736.83   -68.78     2.27)  ; 98
+                            (   17.24   739.13   -67.68     2.27)  ; 99
+                            (   16.33   742.29   -67.68     2.27)  ; 100
+                            (   16.33   744.59   -67.77     2.27)  ; 101
+                            (   16.55   746.60   -68.07     2.27)  ; 102
+                            (   17.69   748.32   -68.75     2.27)  ; 103
+                            (   18.83   749.76   -69.07     2.27)  ; 104
+                            (   19.74   752.63   -68.57     2.27)  ; 105
+                            (   19.96   756.37   -68.60     2.05)  ; 106
+                            (   20.19   758.73   -67.95     2.05)  ; 107
+                            (   20.87   761.03   -67.97     2.27)  ; 108
+                            (   20.19   763.33   -67.97     2.27)  ; 109
+                            (   18.83   766.20   -68.75     2.05)  ; 110
+                            (   18.60   768.21   -68.75     2.05)  ; 111
+                            (   19.05   769.93   -67.82     2.05)  ; 112
+                            (   20.19   771.95   -69.35     2.05)  ; 113
+                            (   21.10   774.82   -70.05     2.27)  ; 114
+                            (   21.33   778.27   -70.10     2.27)  ; 115
+                            (   21.10   781.72   -70.10     2.27)  ; 116
+                            (   20.87   784.59   -70.10     2.27)  ; 117
+                            (   21.33   787.17   -70.10     2.27)  ; 118
+                            (   22.69   789.76   -70.90     2.27)  ; 119
+                            (   23.37   792.35   -70.90     2.05)  ; 120
+                            (   23.83   795.51   -70.88     2.05)  ; 121
+                            (   24.51   798.09   -70.90     2.05)  ; 122
+                            (   25.87   800.68   -71.82     1.82)  ; 123
+                            (   26.78   801.83   -71.82     1.82)  ; 124
+                            (   27.01   803.55   -71.82     1.82)  ; 125
+                            (   27.01   806.14   -70.35     2.27)  ; 126
+                            (   27.01   808.44   -70.35     2.27)  ; 127
+                            (   27.01   811.88   -70.35     2.27)  ; 128
+                            (   28.15   815.05   -69.63     2.05)  ; 129
+                            (   29.28   818.21   -70.70     2.05)  ; 130
+                            (   29.96   821.65   -70.90     2.05)  ; 131
+                            (   30.19   823.38   -70.65     2.27)  ; 132
+                            (   29.74   825.68   -71.10     2.27)  ; 133
+                            (   29.28   827.69   -71.13     2.27)  ; 134
+                            (   29.28   829.70   -71.13     2.27)  ; 135
+                            (   28.60   832.00   -71.72     2.27)  ; 136
+                            (   28.37   833.72   -71.72     2.27)  ; 137
+                            (   28.60   836.31   -71.72     2.05)  ; 138
+                            (   29.96   838.89   -71.72     2.27)  ; 139
+                            (   30.87   841.77   -70.63     2.27)  ; 140
+                            (   32.46   844.64   -70.67     2.27)  ; 141
+                            (   32.69   846.65   -71.47     2.50)  ; 142
+                            (   32.69   849.24   -71.47     2.27)  ; 143
+                            (   32.92   852.69   -71.47     2.05)  ; 144
+                            (   33.15   855.56   -72.15     2.27)  ; 145
+                            (   32.69   857.86   -72.15     2.50)  ; 146
+                            (   32.92   861.59   -72.95     2.50)  ; 147
+                            (   32.92   863.03   -72.95     2.50)  ; 148
+                            (   32.24   864.75   -72.95     2.50)  ; 149
+                            (   31.33   868.49   -72.97     2.50)  ; 150
+                            (   31.78   871.36   -72.93     2.27)  ; 151
+                            (   32.92   874.81   -73.02     2.50)  ; 152
+                            (   32.92   877.11   -72.97     2.50)  ; 153
+                            (   32.46   878.83   -73.35     2.50)  ; 154
+                            (   31.78   880.56   -73.45     2.50)  ; 155
+                            (   32.24   883.14   -73.47     2.73)  ; 156
+                            (   31.78   886.59   -73.47     2.73)  ; 157
+                            (   31.78   888.03   -73.20     2.95)  ; 158
+                            (   31.78   890.61   -73.20     2.27)  ; 159
+                            (   32.24   894.06   -73.20     2.27)  ; 160
+                            (   32.69   896.07   -73.93     2.27)  ; 161
+                            (   33.60   898.95   -73.63     2.27)  ; 162
+                            (   33.15   902.68   -74.35     2.27)  ; 163
+                            (   32.92   906.42   -74.70     2.27)  ; 164
+                            (   33.15   909.86   -74.70     2.50)  ; 165
+                            (   33.37   913.02   -74.70     2.50)  ; 166
+                            (   34.62   915.32   -74.53     2.50)  ; 167
+                            (   36.44   917.33   -75.70     2.27)  ; 168
+                            (   38.26   919.35   -76.40     2.05)  ; 169
+                            (   39.85   922.22   -76.40     2.05)  ; 170
+                            (   40.76   925.95   -75.50     2.05)  ; 171
+                            (   41.21   929.12   -75.18     2.27)  ; 172
+                            (   41.44   932.85   -76.05     2.27)  ; 173
+                            (   42.58   937.16   -76.07     2.27)  ; 174
+                            (   43.94   940.03   -76.60     2.27)  ; 175
+                            (   45.76   942.62   -76.60     2.27)  ; 176
+                            (   47.58   945.49   -76.60     2.27)  ; 177
+                            (   48.94   949.52   -76.38     2.27)  ; 178
+                            (   49.40   952.68   -76.38     2.27)  ; 179
+                            (   50.53   955.84   -75.38     2.27)  ; 180
+                            (   51.90   958.71   -75.03     2.27)  ; 181
+                            (   53.03   962.45   -74.20     2.27)  ; 182
+                            (   53.71   966.47   -74.22     2.27)  ; 183
+                            (   54.85   970.78   -74.07     2.50)  ; 184
+                            (   55.53   973.65   -74.07     2.27)  ; 185
+                            (   55.53   976.81   -73.13     2.05)  ; 186
+                            (   55.53   979.11   -73.02     2.05)  ; 187
+                            (   56.90   982.56   -72.28     2.05)  ; 188
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+                              (   22.01   759.30   -64.75     2.05)  ; 290
+                              (   18.83   762.75   -70.05     2.05)  ; 291
+                              (   20.87   766.49   -67.77     2.05)  ; 292
+                              (   21.78   765.34   -67.88     2.05)  ; 293
+                              (   20.65   768.50   -66.68     2.05)  ; 294
+                              (   18.60   764.48   -66.95     2.05)  ; 295
+                              (   18.60   771.95   -68.02     2.05)  ; 296
+                              (   17.69   771.37   -68.02     2.05)  ; 297
+                              (   21.78   770.51   -69.25     2.05)  ; 298
+                              (   17.92   775.11   -71.38     2.05)  ; 299
+                              (   19.51   775.11   -69.13     2.05)  ; 300
+                              (   19.96   774.24   -66.97     2.05)  ; 301
+                              (   22.92   775.11   -71.70     2.05)  ; 302
+                              (   23.37   775.97   -69.57     2.05)  ; 303
+                              (   23.60   777.12   -70.63     2.05)  ; 304
+                              (   23.37   777.98   -70.13     2.05)  ; 305
+                              (   19.74   777.41   -68.65     2.05)  ; 306
+                              (   19.74   779.70   -68.93     2.05)  ; 307
+                              (   19.28   781.72   -68.97     2.05)  ; 308
+                              (   22.69   781.14   -66.05     2.05)  ; 309
+                              (   22.24   778.84   -66.75     2.05)  ; 310
+                              (   24.05   782.29   -70.20     2.05)  ; 311
+                              (   23.60   783.44   -70.20     2.05)  ; 312
+                              (   23.37   784.30   -69.42     2.05)  ; 313
+                              (   20.42   783.44   -71.88     2.05)  ; 314
+                              (   19.05   784.88   -70.20     2.05)  ; 315
+                              (   22.92   782.29   -66.90     2.05)  ; 316
+                              (   19.51   788.04   -67.68     2.05)  ; 317
+                              (   20.65   789.47   -69.10     2.05)  ; 318
+                              (   21.78   791.20   -69.10     2.05)  ; 319
+                              (   24.05   789.19   -68.80     2.05)  ; 320
+                              (   26.10   792.63   -71.20     2.05)  ; 321
+                              (   26.33   794.36   -70.78     2.05)  ; 322
+                              (   21.55   796.37   -72.10     2.05)  ; 323
+                              (   21.33   793.78   -72.70     2.05)  ; 324
+                              (   22.01   794.36   -70.55     2.05)  ; 325
+                              (   27.24   797.52   -70.80     2.05)  ; 326
+                              (   27.24   798.67   -70.43     2.05)  ; 327
+                              (   23.83   800.39   -71.47     2.05)  ; 328
+                              (   28.83   802.40   -72.15     2.05)  ; 329
+                              (   25.19   803.26   -70.47     2.05)  ; 330
+                              (   24.51   802.40   -72.50     2.05)  ; 331
+                              (   28.37   801.25   -71.95     2.05)  ; 332
+                              (   29.05   806.14   -70.00     2.05)  ; 333
+                              (   29.28   807.86   -69.95     2.05)  ; 334
+                              (   28.60   804.70   -70.15     2.05)  ; 335
+                              (   25.42   804.70   -70.20     2.05)  ; 336
+                              (   25.19   806.14   -70.25     2.05)  ; 337
+                              (   22.92   787.46   -73.13     2.05)  ; 338
+                              (   24.74   808.72   -70.67     2.05)  ; 339
+                              (   25.42   810.74   -70.30     2.05)  ; 340
+                              (   25.65   815.91   -71.80     2.05)  ; 341
+                              (   26.10   816.48   -70.27     2.05)  ; 342
+                              (   27.69   819.07   -69.50     2.05)  ; 343
+                              (   27.46   819.64   -71.38     2.05)  ; 344
+                              (   32.24   820.79   -70.78     2.05)  ; 345
+                              (   32.01   819.07   -70.52     2.05)  ; 346
+                              (   31.33   817.34   -72.53     2.05)  ; 347
+                              (   31.33   815.91   -70.52     2.05)  ; 348
+                              (   26.55   814.47   -70.43     2.05)  ; 349
+                              (   26.78   815.62   -70.45     2.05)  ; 350
+                              (   29.28   814.18   -71.07     2.05)  ; 351
+                              (   30.19   815.05   -71.10     2.05)  ; 352
+                              (   29.05   809.87   -70.80     2.05)  ; 353
+                              (   28.15   821.94   -69.38     2.05)  ; 354
+                              (   29.28   821.37   -67.45     2.05)  ; 355
+                              (   25.42   812.17   -73.17     2.05)  ; 356
+                              (   27.24   817.63   -70.97     2.05)  ; 357
+                              (   32.24   819.93   -71.75     2.05)  ; 358
+                              (   27.69   824.53   -72.95     2.73)  ; 359
+                              (   27.46   827.11   -72.85     2.73)  ; 360
+                              (   26.78   829.12   -71.60     2.73)  ; 361
+                              (   32.92   822.80   -70.45     2.73)  ; 362
+                              (   32.01   823.95   -71.30     2.73)  ; 363
+                              (   32.01   825.68   -71.60     2.73)  ; 364
+                              (   31.55   825.96   -69.63     2.73)  ; 365
+                              (   28.60   827.98   -69.65     2.73)  ; 366
+                              (   32.46   826.83   -72.50     2.73)  ; 367
+                              (   32.24   830.27   -73.50     2.73)  ; 368
+                              (   31.55   828.84   -72.60     2.73)  ; 369
+                              (   27.46   831.14   -71.70     2.73)  ; 370
+                              (   26.33   833.15   -72.05     2.73)  ; 371
+                              (   31.10   831.14   -70.97     2.73)  ; 372
+                              (   31.10   832.29   -70.97     2.73)  ; 373
+                              (   32.01   834.01   -72.95     2.73)  ; 374
+                              (   30.42   833.43   -70.03     2.73)  ; 375
+                              (   27.69   834.30   -69.35     2.73)  ; 376
+                              (   27.69   836.60   -72.25     2.73)  ; 377
+                              (   27.46   836.02   -74.30     2.73)  ; 378
+                              (   28.37   840.62   -73.70     2.73)  ; 379
+                              (   28.60   839.18   -71.60     2.73)  ; 380
+                              (   31.78   837.46   -70.10     2.73)  ; 381
+                              (   31.55   836.02   -71.22     2.73)  ; 382
+                              (   32.01   838.03   -73.15     2.73)  ; 383
+                              (   27.92   837.46   -72.88     2.73)  ; 384
+                              (   34.05   841.48   -69.70     2.73)  ; 385
+                              (   34.05   844.07   -69.97     2.73)  ; 386
+                              (   30.87   844.35   -69.97     2.73)  ; 387
+                              (   34.51   848.66   -71.92     2.73)  ; 388
+                              (   30.19   848.66   -73.15     2.73)  ; 389
+                              (   28.83   848.09   -72.40     2.73)  ; 390
+                              (   34.96   850.39   -70.88     2.73)  ; 391
+                              (   31.33   850.39   -72.00     2.73)  ; 392
+                              (   31.33   852.40   -72.22     2.73)  ; 393
+                              (   34.74   851.25   -74.40     2.73)  ; 394
+                              (   35.65   852.97   -74.10     2.73)  ; 395
+                              (   35.87   856.42   -73.55     2.73)  ; 396
+                              (   35.42   854.41   -71.47     2.73)  ; 397
+                              (   30.65   854.70   -72.88     2.73)  ; 398
+                              (   31.10   858.14   -72.68     2.73)  ; 399
+                              (   35.19   858.43   -73.57     2.73)  ; 400
+                              (   35.65   859.87   -72.97     2.73)  ; 401
+                              (   30.65   859.87   -75.65     2.73)  ; 402
+                              (   30.65   860.16   -73.45     2.73)  ; 403
+                              (   35.19   861.59   -72.72     2.73)  ; 404
+                              (   34.96   864.75   -73.10     2.73)  ; 405
+                              (   33.60   866.48   -71.15     2.73)  ; 406
+                              (   30.65   867.05   -71.45     2.73)  ; 407
+                              (   34.74   866.19   -74.53     2.73)  ; 408
+                              (   34.28   867.63   -73.00     2.73)  ; 409
+                              (   33.37   868.49   -74.92     2.73)  ; 410
+                              (   29.51   870.79   -73.28     2.73)  ; 411
+                              (   29.74   871.94   -73.30     2.73)  ; 412
+                              (   29.51   869.35   -72.75     2.73)  ; 413
+                              (   35.19   871.94   -73.97     2.73)  ; 414
+                              (   35.87   875.10   -72.90     2.73)  ; 415
+                              (   34.74   873.95   -73.45     2.73)  ; 416
+                              (   30.87   875.67   -71.88     2.73)  ; 417
+                              (   31.33   877.11   -73.10     2.73)  ; 418
+                              (   31.10   880.56   -72.55     2.73)  ; 419
+                              (   30.65   881.71   -74.90     2.73)  ; 420
+                              (   30.87   878.55   -74.18     2.73)  ; 421
+                              (   34.96   878.83   -74.30     2.73)  ; 422
+                              (   34.96   877.40   -71.60     2.73)  ; 423
+                              (   35.19   883.72   -74.70     2.73)  ; 424
+                              (   34.51   881.71   -73.25     2.73)  ; 425
+                              (   34.74   884.58   -72.03     2.73)  ; 426
+                              (   34.51   886.02   -72.35     2.73)  ; 427
+                              (   31.10   910.15   -75.05     2.50)  ; 428
+                              (   31.55   913.02   -75.40     2.50)  ; 429
+                              (   34.96   909.58   -77.13     2.50)  ; 430
+                              (   35.19   911.30   -72.65     2.50)  ; 431
+                              (   34.51   906.42   -73.60     2.50)  ; 432
+                              (   34.96   904.69   -74.45     2.50)  ; 433
+                              (   31.55   905.84   -76.05     2.50)  ; 434
+                              (   31.33   909.00   -74.72     2.50)  ; 435
+                              (   31.10   902.11   -74.80     2.50)  ; 436
+                              (   31.55   903.83   -75.70     2.50)  ; 437
+                              (   35.42   901.24   -72.93     2.50)  ; 438
+                              (   31.78   899.52   -75.45     2.50)  ; 439
+                              (   35.87   899.52   -73.90     2.50)  ; 440
+                              (   30.87   897.80   -73.38     2.50)  ; 441
+                              (   30.87   896.36   -72.25     2.50)  ; 442
+                              (   30.42   894.64   -72.65     2.50)  ; 443
+                              (   34.96   902.39   -73.78     2.50)  ; 444
+                              (   34.28   894.35   -72.68     2.50)  ; 445
+                              (   35.65   894.92   -74.15     2.50)  ; 446
+                              (   35.65   896.36   -73.65     2.50)  ; 447
+                              (   35.42   898.37   -74.20     2.50)  ; 448
+                              (   30.65   892.34   -71.60     2.50)  ; 449
+                              (   29.74   890.33   -71.40     2.50)  ; 450
+                              (   29.74   888.89   -75.05     2.50)  ; 451
+                              (   38.49   916.19   -76.82     2.05)  ; 452
+                              (   40.08   917.91   -75.52     2.05)  ; 453
+                              (   41.21   918.20   -76.95     2.05)  ; 454
+                              (   41.21   919.35   -75.38     2.05)  ; 455
+                              (   42.12   920.50   -74.50     2.05)  ; 456
+                              (   35.99   919.06   -73.55     2.05)  ; 457
+                              (   38.26   921.64   -73.60     2.05)  ; 458
+                              (   37.80   923.08   -74.75     2.05)  ; 459
+                              (   41.90   922.51   -77.25     2.05)  ; 460
+                              (   42.80   925.67   -74.47     2.05)  ; 461
+                              (   42.58   927.39   -74.35     2.05)  ; 462
+                              (   43.03   929.12   -75.05     2.05)  ; 463
+                              (   38.49   928.54   -76.03     2.05)  ; 464
+                              (   39.40   926.82   -74.40     2.05)  ; 465
+                              (   40.30   929.12   -74.40     2.05)  ; 466
+                              (   39.85   931.70   -74.27     2.05)  ; 467
+                              (   45.99   931.41   -75.47     2.05)  ; 468
+                              (   43.03   931.70   -76.65     2.05)  ; 469
+                              (   42.80   930.26   -76.68     2.05)  ; 470
+                              (   39.40   936.87   -74.67     2.05)  ; 471
+                              (   41.90   939.75   -75.52     2.05)  ; 472
+                              (   45.08   935.44   -77.38     2.05)  ; 473
+                              (   45.08   934.00   -73.82     2.05)  ; 474
+                              (   43.49   933.71   -75.20     2.05)  ; 475
+                              (   40.76   936.01   -78.10     2.05)  ; 476
+                              (   45.30   937.45   -76.38     2.05)  ; 477
+                              (   45.76   938.88   -74.53     2.05)  ; 478
+                              (   49.40   941.47   -75.10     2.05)  ; 479
+                              (   47.80   941.47   -77.80     2.05)  ; 480
+                              (   48.94   943.19   -76.13     2.05)  ; 481
+                              (   45.53   946.35   -77.40     2.05)  ; 482
+                              (   45.76   948.08   -77.22     2.05)  ; 483
+                              (   44.62   944.06   -76.30     2.05)  ; 484
+                              (   46.90   949.80   -78.60     2.05)  ; 485
+                              (   51.67   948.94   -74.25     2.05)  ; 486
+                              (   51.44   948.08   -77.07     2.05)  ; 487
+                              (   51.21   950.95   -76.15     2.05)  ; 488
+                              (   52.35   954.40   -74.05     2.05)  ; 489
+                              (   52.12   953.25   -74.30     2.05)  ; 490
+                              (   53.03   955.84   -72.57     2.05)  ; 491
+                              (   49.85   958.71   -77.13     2.05)  ; 492
+                              (   53.49   957.85   -77.15     2.05)  ; 493
+                              (   55.99   961.58   -73.02     2.05)  ; 494
+                              (   56.21   963.31   -74.02     2.05)  ; 495
+                              (   55.08   963.31   -72.22     2.05)  ; 496
+                              (   55.53   964.46   -72.45     2.05)  ; 497
+                              (   50.53   961.58   -75.27     2.05)  ; 498
+                              (   50.99   963.59   -76.95     2.05)  ; 499
+                              (   51.90   965.03   -74.67     2.05)  ; 500
+                              (   51.67   967.33   -74.42     2.05)  ; 501
+                              (   55.76   965.03   -74.07     2.05)  ; 502
+                              (   53.03   968.19   -72.15     2.05)  ; 503
+                              (   53.49   972.50   -75.57     2.05)  ; 504
+                              (   55.76   966.76   -75.95     2.05)  ; 505
+                              (   55.76   967.90   -75.95     2.05)  ; 506
+                              (   50.53   960.43   -75.15     2.05)  ; 507
+                              (   56.44   968.77   -72.95     2.05)  ; 508
+                              (   56.67   970.20   -73.22     2.05)  ; 509
+                              (   57.58   971.64   -73.32     2.05)  ; 510
+                              (   58.03   973.36   -75.00     2.05)  ; 511
+                              (   57.80   974.80   -73.65     2.05)  ; 512
+                              (   53.49   973.65   -72.90     2.05)  ; 513
+                              (   53.94   976.24   -74.45     2.05)  ; 514
+                              (   53.94   979.97   -73.63     2.05)  ; 515
+                              (   53.94   978.82   -73.70     2.05)  ; 516
+                              (   57.58   977.10   -74.42     2.05)  ; 517
+                              (   57.35   978.54   -74.63     2.05)  ; 518
+                              (   58.94   979.11   -72.95     2.05)  ; 519
+                              (   54.40   983.13   -71.55     2.05)  ; 520
+                              (   57.58   979.97   -75.18     2.05)  ; 521
+                              (   57.58   975.95   -74.72     2.05)  ; 522
+                              (   54.85   981.41   -71.70     2.05)  ; 523
+                              (   56.48   985.65   -71.57     2.05)  ; 524
+                              (   58.07   989.68   -72.25     2.05)  ; 525
+                              (   55.80   984.22   -74.00     2.05)  ; 526
+                              (   58.53   987.67   -69.45     2.05)  ; 527
+                              (   63.53   989.10   -70.60     2.05)  ; 528
+                              (   62.62   985.37   -73.78     2.05)  ; 529
+                              (   61.71   986.52   -70.72     2.05)  ; 530
+                              (   61.48   983.64   -70.67     2.05)  ; 531
+                              (   61.03   985.37   -74.65     2.05)  ; 532
+                              (   58.53   991.98   -74.27     2.05)  ; 533
+                              (   60.12   992.55   -71.57     2.05)  ; 534
+                              (   60.57   993.99   -74.42     2.05)  ; 535
+                              (   59.89   991.40   -74.53     2.05)  ; 536
+                              (   64.66   993.99   -69.67     2.05)  ; 537
+                              (   65.12   992.84   -71.85     2.05)  ; 538
+                              (   63.53   992.26   -72.70     2.05)  ; 539
+                              (   61.71   996.57   -73.05     2.05)  ; 540
+                              (   66.03   994.27   -71.10     2.05)  ; 541
+                              (   67.62   995.71   -71.43     2.05)  ; 542
+                              (   63.98   998.87   -71.25     2.05)  ; 543
+                              (   67.62   997.72   -71.77     2.05)  ; 544
+                              (   65.80   995.42   -72.70     2.05)  ; 545
+                            )  ;  End of markers
+                            (
+                              (   68.00  1000.38   -72.22     1.82)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-1
+                              (   69.59  1001.25   -71.15     1.59)  ; 2
+                              (   71.86  1002.40   -70.78     1.36)  ; 3
+                              (   73.91  1003.55   -70.05     1.36)  ; 4
+                              (   76.18  1004.69   -69.63     1.36)  ; 5
+                              (   78.00  1004.98   -69.10     1.36)  ; 6
+                              (   80.05  1005.27   -68.42     1.14)  ; 7
+                              (   81.64  1004.98   -68.07     1.14)  ; 8
+                              (   84.14  1004.69   -67.88     0.91)  ; 9
+                              (   86.86  1005.56   -67.63     0.91)  ; 10
+                              (   89.14  1006.42   -67.63     1.14)  ; 11
+                              (   91.41  1007.28   -67.63     1.14)  ; 12
+                              (   93.68  1007.57   -66.90     1.14)  ; 13
+                              (   95.95  1008.14   -66.22     1.14)  ; 14
+                              (   98.23  1008.43   -65.90     1.14)  ; 15
+                              (  100.73  1008.43   -66.30     1.14)  ; 16
+                              (  103.00  1009.58   -66.30     1.14)  ; 17
+                              (  105.05  1010.73   -67.38     1.14)  ; 18
+                              (  107.55  1011.59   -67.35     1.14)  ; 19
+                              (  110.05  1012.17   -67.95     1.14)  ; 20
+                              (  112.77  1013.03   -67.88     1.14)  ; 21
+                              (  114.36  1014.18   -67.88     1.14)  ; 22
+                              (  116.64  1014.75   -67.88     1.14)  ; 23
+                              (  118.14  1015.23   -67.05     1.36)  ; 24
+                              (  119.96  1015.52   -67.05     1.14)  ; 25
+                              (  121.78  1015.81   -67.22     1.14)  ; 26
+                              (  123.37  1017.53   -67.22     1.14)  ; 27
+                              (  124.50  1017.82   -67.50     1.14)  ; 28
+                              (  126.78  1016.96   -67.82     1.14)  ; 29
+                              (  128.60  1017.82   -68.02     1.14)  ; 30
+                              (  130.41  1018.97   -68.07     1.14)  ; 31
+                              (  132.46  1020.12   -67.57     1.14)  ; 32
+                              (  133.82  1020.98   -67.57     1.14)  ; 33
+                              (  136.32  1021.27   -67.65     1.36)  ; 34
+                              (  137.91  1021.55   -67.65     1.36)  ; 35
+                              (  140.41  1021.84   -68.10     1.14)  ; 36
+                              (  141.78  1022.42   -68.10     1.14)  ; 37
+                              (  144.28  1022.42   -68.53     1.14)  ; 38
+                              (  147.00  1023.57   -68.80     1.36)  ; 39
+                              (  150.41  1024.72   -68.82     1.36)  ; 40
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+
+                              (FilledCircle
+                                (Color Yellow)
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+                                (  169.27  1035.06   -67.35     1.36)  ; 112
+                              )  ;  End of markers
+                              (
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+
+                                (FilledCircle
+                                  (Color Yellow)
+                                  (Name "Marker 11")
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+                                  (  213.17  1080.74   -54.43     1.14)  ; 67
+                                )  ;  End of markers
+                                (
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+                                  (  216.35  1083.38   -52.92     0.91)  ; 2
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+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
+                                    (  224.31  1085.68   -47.82     0.91)  ; 1
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+                                    (  225.45  1086.25   -49.60     0.91)  ; 16
+                                  )  ;  End of markers
+                                  (
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+                                    (  226.33  1092.01   -51.00     0.68)  ; 2
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+                                    (  225.87  1117.01   -71.32     0.68)  ; 30
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+                                    (  224.05  1117.87   -72.38     0.68)  ; 32
+                                    (  222.24  1119.88   -74.38     0.68)  ; 33
+                                    (  221.78  1119.59   -76.40     0.68)  ; 34
+                                    (  221.55  1120.17   -77.03     0.68)  ; 35
+                                    (  221.10  1120.46   -80.50     0.68)  ; 36
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (  223.37  1119.31   -70.18     0.68)  ; 1
+                                      (  222.24  1117.87   -70.18     0.68)  ; 2
+                                      (  223.60  1117.01   -70.15     0.68)  ; 3
+                                      (  229.96  1115.86   -65.85     0.68)  ; 4
+                                      (  232.46  1113.85   -66.85     0.68)  ; 5
+                                      (  225.42  1112.70   -65.13     0.68)  ; 6
+                                      (  226.78  1110.40   -59.42     0.68)  ; 7
+                                      (  230.19  1114.71   -54.92     0.68)  ; 8
+                                      (  230.19  1113.85   -53.62     0.68)  ; 9
+                                      (  226.78  1111.84   -54.05     0.68)  ; 10
+                                      (  232.24  1111.55   -52.75     0.68)  ; 11
+                                      (  231.55  1110.69   -52.85     0.68)  ; 12
+                                      (  227.92  1110.11   -51.85     0.68)  ; 13
+                                      (  227.92  1106.38   -49.75     0.68)  ; 14
+                                      (  226.55  1104.37   -49.75     0.68)  ; 15
+                                      (  232.46  1106.09   -52.22     0.68)  ; 16
+                                      (  228.83  1105.23   -52.25     0.68)  ; 17
+                                      (  229.05  1104.08   -51.52     0.68)  ; 18
+                                      (  228.60  1102.93   -50.10     0.68)  ; 19
+                                      (  231.55  1104.94   -48.88     0.68)  ; 20
+                                      (  231.10  1108.10   -53.45     0.68)  ; 21
+                                      (  227.46  1108.10   -53.60     0.68)  ; 22
+                                      (  231.10  1100.92   -51.15     0.68)  ; 23
+                                      (  232.24  1098.05   -52.47     0.68)  ; 24
+                                      (  228.60  1098.62   -52.65     0.68)  ; 25
+                                      (  229.28  1097.76   -50.13     0.68)  ; 26
+                                      (  230.65  1096.32   -49.50     0.68)  ; 27
+                                      (  228.60  1096.03   -47.80     0.68)  ; 28
+                                      (  224.51  1090.86   -51.30     0.68)  ; 29
+                                      (  226.55  1094.02   -49.67     0.68)  ; 30
+                                      (  227.46  1091.44   -51.20     0.68)  ; 31
+                                      (  227.01  1090.57   -50.30     0.68)  ; 32
+                                    )  ;  End of markers
+                                     Normal
+                                  |
+                                    (  226.81  1088.55   -49.45     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-1-1-1-2
+                                    (  228.40  1089.13   -49.45     0.91)  ; 2
+                                    (  230.90  1089.70   -48.62     0.68)  ; 3
+                                    (  232.26  1090.27   -48.15     0.68)  ; 4
+                                    (  234.08  1091.42   -48.20     0.68)  ; 5
+                                    (  235.67  1092.00   -48.20     0.68)  ; 6
+                                    (  237.04  1092.57   -48.20     0.68)  ; 7
+                                    (  239.99  1093.15   -47.95     0.91)  ; 8
+                                    (  241.81  1094.30   -47.97     0.68)  ; 9
+                                    (  244.08  1095.16   -47.72     0.91)  ; 10
+                                    (  245.45  1096.31   -47.82     0.68)  ; 11
+                                    (  247.72  1097.46   -47.60     0.68)  ; 12
+                                    (  250.22  1097.75   -47.33     0.68)  ; 13
+                                    (  251.58  1098.89   -47.28     0.68)  ; 14
+                                    (  254.31  1099.76   -47.65     0.68)  ; 15
+                                    (  255.22  1100.33   -46.93     0.68)  ; 16
+                                    (  256.81  1100.33   -46.60     0.68)  ; 17
+                                    (  257.12  1100.63   -47.63     0.68)  ; 18
+                                    (  258.94  1100.63   -47.63     0.68)  ; 19
+                                    (  260.30  1101.49   -47.63     0.68)  ; 20
+                                    (  262.58  1102.36   -46.77     0.68)  ; 21
+                                    (  264.40  1103.79   -45.52     0.91)  ; 22
+                                    (  265.76  1104.65   -45.55     0.68)  ; 23
+                                    (  267.58  1104.94   -45.03     0.68)  ; 24
+                                    (  268.94  1106.67   -45.05     0.68)  ; 25
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+                                    (  271.21  1108.39   -44.23     0.68)  ; 27
+                                    (  271.90  1109.83   -44.23     0.68)  ; 28
+                                    (  273.26  1109.83   -43.40     0.68)  ; 29
+                                    (  275.30  1109.83   -42.95     0.91)  ; 30
+                                    (  277.35  1110.40   -42.17     0.91)  ; 31
+                                    (  278.71  1110.97   -41.82     0.68)  ; 32
+                                    (  279.85  1111.84   -41.82     0.68)  ; 33
+                                    (  281.90  1112.41   -41.25     0.45)  ; 34
+                                    (  284.85  1112.41   -40.40     0.45)  ; 35
+                                    (  285.76  1112.99   -39.58     0.45)  ; 36
+                                    (  287.58  1112.99   -39.63     0.45)  ; 37
+                                    (  289.17  1113.56   -39.05     0.23)  ; 38
+                                    (  290.99  1113.56   -38.85     0.23)  ; 39
+                                    (  291.90  1113.85   -38.85     0.23)  ; 40
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (  258.63  1098.89   -46.60     0.68)  ; 1
+                                      (  258.85  1102.92   -45.42     0.68)  ; 2
+                                      (  260.45  1103.20   -47.28     0.68)  ; 3
+                                      (  259.99  1100.91   -45.05     0.68)  ; 4
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+                                      (  252.95  1100.62   -48.80     0.68)  ; 9
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+                                      (  251.81  1097.46   -46.77     0.68)  ; 11
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+                                      (  242.95  1093.72   -49.45     0.68)  ; 21
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+                                      (  232.95  1092.29   -48.70     0.68)  ; 25
+                                      (  236.13  1091.14   -47.57     0.68)  ; 26
+                                      (  236.35  1089.99   -48.95     0.68)  ; 27
+                                      (  234.54  1089.99   -48.42     0.68)  ; 28
+                                      (  232.04  1091.14   -48.85     0.68)  ; 29
+                                      (  231.35  1090.56   -48.80     0.68)  ; 30
+                                      (  227.95  1086.83   -49.85     0.68)  ; 31
+                                      (  227.26  1089.41   -50.03     0.68)  ; 32
+                                      (  228.85  1089.41   -49.67     0.68)  ; 33
+                                      (  229.76  1089.99   -49.67     0.68)  ; 34
+                                      (  287.12  1112.12   -39.13     0.23)  ; 35
+                                      (  282.12  1109.83   -42.10     0.23)  ; 36
+                                      (  283.49  1113.56   -42.17     0.23)  ; 37
+                                      (  279.62  1112.99   -41.95     0.23)  ; 38
+                                      (  282.12  1111.26   -41.08     0.23)  ; 39
+                                      (  280.99  1112.41   -40.97     0.23)  ; 40
+                                      (  284.40  1113.27   -40.72     0.23)  ; 41
+                                      (  281.44  1111.26   -42.77     0.23)  ; 42
+                                      (  280.08  1109.54   -41.00     0.23)  ; 43
+                                      (  278.94  1108.39   -43.45     0.23)  ; 44
+                                      (  279.40  1108.10   -44.67     0.23)  ; 45
+                                      (  277.80  1111.84   -44.67     0.23)  ; 46
+                                      (  275.76  1108.39   -44.83     0.23)  ; 47
+                                      (  272.80  1108.96   -43.05     0.23)  ; 48
+                                      (  273.71  1108.39   -43.67     0.23)  ; 49
+                                      (  270.53  1106.09   -44.87     0.23)  ; 50
+                                      (  271.90  1107.53   -44.02     0.23)  ; 51
+                                      (  267.35  1106.38   -46.38     0.23)  ; 52
+                                      (  262.35  1100.63   -47.63     0.23)  ; 53
+                                      (  263.49  1101.49   -49.25     0.23)  ; 54
+                                      (  263.71  1105.23   -45.97     0.23)  ; 55
+                                      (  266.44  1103.79   -46.52     0.23)  ; 56
+                                      (  265.53  1102.07   -46.82     0.23)  ; 57
+                                      (  265.53  1101.21   -46.93     0.23)  ; 58
+                                      (  264.40  1101.49   -47.35     0.23)  ; 59
+                                      (  261.21  1102.93   -48.60     0.23)  ; 60
+                                    )  ;  End of markers
+                                     Normal
+                                  )  ;  End of split
+                                |
+                                  (  213.62  1083.90   -55.32     0.68)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-1-1-2
+                                  (  213.62  1084.76   -55.25     0.68)  ; 2
+                                  (  213.40  1086.20   -55.25     0.68)  ; 3
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+                                  (  213.85  1094.24   -56.35     0.91)  ; 10
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+                                  (  218.62  1097.41   -57.42     0.91)  ; 15
+                                  (  217.03  1098.84   -58.40     1.14)  ; 16
+                                  (  215.67  1099.70   -59.35     0.91)  ; 17
+                                  (  215.90  1100.85   -59.35     0.91)  ; 18
+                                  (  214.99  1101.71   -60.35     1.14)  ; 19
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+                                  (  214.99  1105.16   -61.05     0.91)  ; 21
+                                  (  214.99  1106.89   -61.60     0.91)  ; 22
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+                                  (  217.72  1113.84   -70.27     0.91)  ; 31
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+                                  (  222.26  1114.13   -76.28     0.91)  ; 37
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+                                  (  221.35  1117.58   -79.32     0.91)  ; 40
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+                                  (  219.76  1121.02   -81.30     0.91)  ; 44
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+                                  (  219.08  1123.90   -82.57     0.91)  ; 47
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+                                  (  218.17  1125.33   -84.17     0.91)  ; 49
+                                  (  218.85  1125.91   -85.18     0.91)  ; 50
+                                  (  219.08  1126.77   -86.35     0.91)  ; 51
+                                  (  218.63  1127.92   -87.80     0.91)  ; 52
+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
+                                    (  221.35  1110.62   -67.10     1.14)  ; 1
+                                    (  219.53  1106.60   -62.57     1.14)  ; 2
+                                    (  217.49  1106.02   -63.22     1.14)  ; 3
+                                    (  218.17  1108.61   -62.57     1.14)  ; 4
+                                    (  216.80  1108.61   -62.05     1.14)  ; 5
+                                    (  213.85  1107.75   -60.20     1.14)  ; 6
+                                    (  216.35  1104.01   -61.15     1.14)  ; 7
+                                    (  215.67  1105.74   -59.32     1.14)  ; 8
+                                    (  212.71  1103.73   -60.88     1.14)  ; 9
+                                    (  213.17  1100.28   -60.07     1.14)  ; 10
+                                    (  213.40  1101.71   -60.07     1.14)  ; 11
+                                    (  217.71  1102.58   -57.02     1.14)  ; 12
+                                    (  216.35  1100.85   -59.83     1.14)  ; 13
+                                    (  217.03  1099.42   -57.28     1.14)  ; 14
+                                    (  214.99  1096.54   -56.38     1.14)  ; 15
+                                    (  212.94  1093.67   -56.70     1.14)  ; 16
+                                    (  215.21  1093.38   -56.28     1.14)  ; 17
+                                    (  216.12  1092.81   -56.28     1.14)  ; 18
+                                    (  212.94  1092.52   -55.47     1.14)  ; 19
+                                    (  210.67  1090.51   -53.82     1.14)  ; 20
+                                    (  213.40  1089.93   -51.38     1.14)  ; 21
+                                    (  214.08  1091.08   -54.95     1.14)  ; 22
+                                    (  211.35  1087.35   -54.85     1.14)  ; 23
+                                    (  215.44  1087.64   -52.82     1.14)  ; 24
+                                    (  212.71  1085.05   -53.90     1.14)  ; 25
+                                    (  212.26  1084.19   -52.28     1.14)  ; 26
+                                    (  214.76  1084.76   -52.80     1.14)  ; 27
+                                    (  220.22  1115.56   -68.50     0.91)  ; 28
+                                    (  223.40  1114.41   -70.95     0.91)  ; 29
+                                    (  223.17  1121.60   -78.45     0.91)  ; 30
+                                    (  221.81  1123.03   -79.65     0.91)  ; 31
+                                    (  217.49  1119.87   -80.37     0.91)  ; 32
+                                    (  218.40  1121.60   -81.40     0.91)  ; 33
+                                    (  220.45  1124.76   -80.02     0.91)  ; 34
+                                    (  218.17  1123.90   -80.60     0.91)  ; 35
+                                  )  ;  End of markers
+                                   Normal
+                                )  ;  End of split
+                              |
+                                (  180.86  1037.93   -64.78     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-1-2
+                                (  181.77  1039.37   -65.82     1.14)  ; 2
+                                (  182.45  1040.81   -65.82     1.36)  ; 3
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+                                (  192.68  1062.64   -71.80     1.14)  ; 16
+                                (  193.81  1063.22   -71.85     1.14)  ; 17
+                                (  194.04  1063.79   -71.95     1.14)  ; 18
+                                (  194.04  1065.52   -71.95     1.14)  ; 19
+                                (  194.50  1066.38   -72.28     1.14)  ; 20
+                                (  195.18  1067.81   -72.32     1.14)  ; 21
+                                (  196.09  1068.96   -72.50     1.14)  ; 22
+                                (  196.54  1070.98   -72.07     1.14)  ; 23
+                                (  197.22  1072.41   -72.07     1.14)  ; 24
+                                (  197.22  1073.56   -72.45     1.14)  ; 25
+                                (  197.90  1074.42   -72.77     1.14)  ; 26
+                                (  198.81  1075.57   -72.77     1.14)  ; 27
+                                (  199.04  1076.43   -72.77     1.14)  ; 28
+                                (  199.04  1077.58   -73.07     1.14)  ; 29
+                                (  199.04  1079.31   -73.17     1.14)  ; 30
+                                (  199.27  1080.17   -73.50     1.14)  ; 31
+                                (  200.18  1081.32   -73.65     1.14)  ; 32
+                                (  200.40  1082.76   -73.67     1.14)  ; 33
+                                (  200.18  1084.48   -74.00     1.14)  ; 34
+                                (  199.95  1085.34   -74.10     1.14)  ; 35
+                                (  200.86  1086.20   -74.32     1.14)  ; 36
+                                (  201.77  1086.78   -72.65     1.14)  ; 37
+                                (  202.00  1088.22   -71.95     1.36)  ; 38
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+                                (  200.86  1091.66   -71.15     1.14)  ; 40
+                                (  200.40  1092.53   -71.03     1.14)  ; 41
+                                (  200.40  1093.39   -70.78     1.14)  ; 42
+                                (  201.09  1093.67   -70.20     1.14)  ; 43
+                                (  201.31  1095.11   -70.05     1.14)  ; 44
+                                (  201.31  1096.83   -69.90     1.14)  ; 45
+                                (  202.22  1097.41   -70.95     0.68)  ; 46
+                                (  202.68  1098.85   -70.95     1.14)  ; 47
+                                (  202.00  1100.28   -71.22     1.14)  ; 48
+                                (  202.90  1101.43   -71.28     1.14)  ; 49
+                                (  203.81  1102.58   -71.28     1.14)  ; 50
+                                (  203.59  1104.31   -71.50     1.14)  ; 51
+                                (  204.27  1105.74   -71.50     1.14)  ; 52
+                                (  204.04  1106.89   -70.43     1.14)  ; 53
+                                (  204.04  1108.90   -71.22     1.14)  ; 54
+                                (  205.18  1110.34   -73.22     1.14)  ; 55
+                                (  205.86  1111.20   -75.50     1.14)  ; 56
+                                (  206.31  1112.06   -76.17     1.14)  ; 57
+                                (  207.22  1112.64   -77.05     1.14)  ; 58
+                                (  207.68  1114.36   -76.88     1.14)  ; 59
+
+                                (FilledCircle
+                                  (Color Yellow)
+                                  (Name "Marker 11")
+                                  (  198.81  1095.97   -72.77     1.14)  ; 1
+                                  (  200.40  1095.40   -71.60     1.14)  ; 2
+                                  (  203.13  1095.97   -68.47     1.14)  ; 3
+                                  (  203.59  1094.82   -69.70     1.14)  ; 4
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+                                  (  198.59  1080.74   -72.60     1.14)  ; 11
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+                                  (  194.72  1068.96   -70.90     1.14)  ; 22
+                                  (  193.36  1067.53   -71.20     1.14)  ; 23
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+                                  (  198.59  1069.83   -71.47     1.14)  ; 25
+                                  (  195.63  1069.83   -73.95     1.14)  ; 26
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+                                  (  192.90  1061.78   -68.28     1.14)  ; 33
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+                                  (  188.59  1054.60   -68.05     1.14)  ; 35
+                                  (  189.27  1055.17   -64.95     1.14)  ; 36
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+                                  (  184.50  1047.99   -68.00     1.14)  ; 41
+                                  (  185.40  1049.71   -68.82     1.14)  ; 42
+                                  (  186.31  1045.40   -66.28     1.14)  ; 43
+                                  (  186.31  1044.54   -65.32     1.14)  ; 44
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+                                  (  182.68  1037.93   -64.72     1.14)  ; 47
+                                  (  178.59  1038.51   -65.03     1.14)  ; 48
+                                  (  180.40  1040.52   -67.90     1.14)  ; 49
+                                  (  181.54  1040.81   -62.70     1.14)  ; 50
+                                  (  201.54  1085.34   -74.40     1.14)  ; 51
+                                  (  210.63  1111.20   -74.20     1.14)  ; 52
+                                  (  207.00  1109.76   -71.95     1.14)  ; 53
+                                  (  203.36  1109.19   -70.05     1.14)  ; 54
+                                  (  206.09  1108.62   -70.57     1.14)  ; 55
+                                  (  203.13  1113.21   -72.32     1.14)  ; 56
+                                  (  202.68  1107.18   -70.88     1.14)  ; 57
+                                  (  205.63  1106.89   -68.42     1.14)  ; 58
+                                  (  206.09  1104.31   -72.85     1.14)  ; 59
+                                  (  207.90  1107.18   -70.35     1.14)  ; 60
+                                  (  206.77  1106.03   -70.38     1.14)  ; 61
+                                  (  200.86  1102.01   -69.55     1.14)  ; 62
+                                  (  202.00  1102.58   -72.47     1.14)  ; 63
+                                  (  204.04  1100.28   -71.75     1.14)  ; 64
+                                  (  204.72  1101.14   -68.85     1.14)  ; 65
+                                  (  204.04  1099.13   -68.90     1.14)  ; 66
+                                  (  200.63  1097.98   -71.65     1.14)  ; 67
+                                )  ;  End of markers
+                                (
+                                  (  206.99  1115.29   -78.32     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-1-2-1
+                                  (  206.76  1116.44   -79.63     0.91)  ; 2
+                                  (  206.99  1117.59   -80.97     0.91)  ; 3
+                                  (  207.67  1119.02   -84.45     0.91)  ; 4
+                                  (  206.76  1120.17   -84.82     0.91)  ; 5
+                                  (
+                                    (  206.76  1119.02   -86.82     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-1-2-1-1
+                                    (  206.76  1118.16   -88.88     0.91)  ; 2
+                                    (  205.85  1116.72   -89.85     0.91)  ; 3
+                                    (  204.72  1115.86   -90.50     0.91)  ; 4
+                                    (  203.13  1115.29   -91.22     0.91)  ; 5
+                                    (  201.54  1114.71   -92.25     0.91)  ; 6
+                                    (  200.17  1114.14   -93.05     0.91)  ; 7
+                                    (  199.26  1114.71   -93.95     0.91)  ; 8
+                                    (  200.40  1115.86   -94.85     0.68)  ; 9
+                                    (  201.54  1116.72   -96.10     0.68)  ; 10
+                                    (  202.67  1118.16   -96.62     0.68)  ; 11
+                                    (  204.26  1120.17   -97.42     0.68)  ; 12
+                                    (  204.72  1122.47   -98.45     0.68)  ; 13
+                                    (  205.40  1124.77   -99.22     0.68)  ; 14
+                                    (  204.26  1127.07  -100.77     0.68)  ; 15
+                                    (  203.13  1127.36  -100.88     0.68)  ; 16
+                                    (  201.08  1127.36  -102.47     0.45)  ; 17
+                                    (  198.13  1126.78  -103.30     0.45)  ; 18
+                                    (  196.76  1126.21  -103.67     0.45)  ; 19
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (  202.67  1125.92   -96.45     0.45)  ; 1
+                                      (  201.99  1119.31   -93.65     0.45)  ; 2
+                                      (  204.95  1123.62   -93.65     0.45)  ; 3
+                                      (  200.63  1117.01   -93.82     0.45)  ; 4
+                                      (  201.31  1113.85   -88.42     0.45)  ; 5
+                                      (  204.95  1117.30   -84.00     0.45)  ; 6
+                                    )  ;  End of markers
+                                     Normal
+                                  |
+                                    (  205.17  1120.17   -86.55     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-1-2-1-2
+                                    (  203.13  1120.46   -86.25     0.91)  ; 2
+                                    (  201.99  1121.61   -87.35     0.68)  ; 3
+                                    (  201.08  1123.62   -88.72     0.68)  ; 4
+                                     Normal
+                                  )  ;  End of split
+                                |
+                                  (  209.72  1116.15   -76.90     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-1-2-2
+                                  (  209.95  1118.45   -77.60     0.91)  ; 2
+                                  (  210.63  1119.60   -78.93     1.14)  ; 3
+                                  (  210.40  1121.03   -79.13     1.36)  ; 4
+                                  (  209.95  1122.18   -80.15     1.14)  ; 5
+                                  (  210.85  1123.33   -80.97     0.68)  ; 6
+                                  (  212.45  1122.76   -81.88     0.68)  ; 7
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+                                  (  213.81  1125.34   -80.30     0.68)  ; 9
+                                  (  215.63  1125.63   -80.85     0.68)  ; 10
+                                  (  216.54  1127.36   -82.30     0.68)  ; 11
+                                  (  216.76  1128.22   -83.70     0.68)  ; 12
+                                  (  216.76  1129.08   -86.80     0.68)  ; 13
+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
+                                    (  214.49  1126.49   -79.70     0.68)  ; 1
+                                    (  213.13  1124.19   -79.82     0.68)  ; 2
+                                    (  210.63  1124.19   -79.25     0.68)  ; 3
+                                    (  212.22  1120.46   -78.15     0.68)  ; 4
+                                    (  211.99  1118.45   -76.30     0.68)  ; 5
+                                  )  ;  End of markers
+                                   Normal
+                                )  ;  End of split
+                              )  ;  End of split
+                            |
+                              (   65.57  1002.89   -72.22     2.05)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2
+                              (   66.25  1005.77   -72.42     2.05)  ; 2
+                              (   66.03  1008.64   -73.67     2.05)  ; 3
+                              (   65.35  1010.08   -73.67     2.05)  ; 4
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+                              (   63.07  1025.59   -69.65     2.05)  ; 11
+
+                              (FilledCircle
+                                (Color Yellow)
+                                (Name "Marker 11")
+                                (   65.35  1023.58   -67.82     2.05)  ; 1
+                                (   65.57  1024.73   -69.82     2.05)  ; 2
+                                (   61.94  1023.29   -71.43     2.05)  ; 3
+                                (   62.39  1021.57   -69.50     2.05)  ; 4
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+                                (   62.39  1018.70   -69.88     2.05)  ; 9
+                                (   62.16  1018.12   -69.63     2.05)  ; 10
+                                (   63.07  1016.69   -71.10     2.05)  ; 11
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+                                (   62.62  1015.25   -71.57     2.05)  ; 13
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+                                (   66.25  1015.54   -68.95     2.05)  ; 15
+                                (   68.30  1013.81   -73.65     2.05)  ; 16
+                                (   67.62  1013.24   -73.65     2.05)  ; 17
+                                (   63.75  1012.09   -72.45     2.05)  ; 18
+                                (   64.66  1011.51   -74.45     2.05)  ; 19
+                                (   67.85  1009.50   -74.92     2.05)  ; 20
+                                (   64.44  1006.63   -71.47     2.05)  ; 21
+                                (   63.98  1007.20   -75.70     2.05)  ; 22
+                                (   68.75  1005.77   -70.20     2.05)  ; 23
+                                (   68.98  1004.62   -71.75     2.05)  ; 24
+                                (   67.62  1006.92   -71.75     2.05)  ; 25
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+                                (   67.39  1003.76   -73.10     2.05)  ; 27
+                                (   64.21  1000.88   -72.82     2.05)  ; 28
+                                (   62.62  1001.46   -72.97     2.05)  ; 29
+                              )  ;  End of markers
+                              (
+                                (   63.30  1027.60   -71.90     1.36)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-1
+                                (   63.30  1028.75   -72.82     1.36)  ; 2
+                                (   63.75  1031.05   -72.82     1.14)  ; 3
+                                (   64.21  1032.78   -73.93     1.14)  ; 4
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+                                (   63.07  1037.09   -75.00     1.14)  ; 7
+                                (   63.07  1038.24   -75.50     1.14)  ; 8
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+                                (   62.16  1041.11   -75.03     1.14)  ; 10
+                                (   62.16  1042.55   -75.92     1.14)  ; 11
+                                (   62.39  1044.27   -77.05     1.14)  ; 12
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+                                (   64.44  1068.41   -78.65     1.36)  ; 22
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+                                (   63.53  1077.60   -79.35     1.36)  ; 27
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+                                (   62.16  1082.77   -79.35     1.36)  ; 29
+                                (   60.80  1084.78   -76.72     1.36)  ; 30
+                                (   59.89  1085.64   -78.00     1.36)  ; 31
+
+                                (FilledCircle
+                                  (Color Yellow)
+                                  (Name "Marker 11")
+                                  (   63.98  1049.44   -75.30     1.14)  ; 1
+                                  (   64.21  1046.57   -75.63     1.14)  ; 2
+                                  (   60.80  1045.99   -75.88     1.14)  ; 3
+                                  (   63.75  1045.99   -73.50     1.14)  ; 4
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+                                  (   61.48  1041.40   -74.75     1.14)  ; 7
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+                                  (   65.12  1032.49   -68.88     1.14)  ; 13
+                                  (   65.35  1032.49   -73.05     1.14)  ; 14
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+                                  (   60.57  1081.91   -78.95     1.36)  ; 16
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+                                  (   63.07  1082.48   -75.72     1.36)  ; 18
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+                                  (   65.80  1078.75   -78.25     1.36)  ; 21
+                                  (   66.48  1076.74   -79.30     1.36)  ; 22
+                                  (   66.25  1075.30   -78.20     1.36)  ; 23
+                                  (   66.03  1073.58   -78.95     1.36)  ; 24
+                                  (   63.07  1074.44   -78.90     1.36)  ; 25
+                                  (   66.48  1071.28   -76.92     1.36)  ; 26
+                                  (   63.53  1073.00   -76.55     1.36)  ; 27
+                                  (   62.39  1069.84   -78.38     1.36)  ; 28
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+                                  (   66.48  1069.55   -77.15     1.36)  ; 30
+                                  (   66.48  1068.41   -77.17     1.36)  ; 31
+                                  (   63.07  1068.12   -78.22     1.36)  ; 32
+                                  (   66.03  1066.39   -78.72     1.36)  ; 33
+                                  (   66.03  1065.82   -78.70     1.36)  ; 34
+                                  (   62.62  1066.68   -79.02     1.36)  ; 35
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+                                  (   67.62  1065.53   -79.40     1.36)  ; 37
+                                  (   66.03  1064.10   -77.13     1.36)  ; 38
+                                  (   64.66  1063.52   -77.90     1.36)  ; 39
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+                                  (   62.16  1060.93   -78.40     1.36)  ; 44
+                                  (   64.89  1058.92   -79.13     1.36)  ; 45
+                                  (   58.75  1084.78   -75.85     1.36)  ; 46
+                                )  ;  End of markers
+                                (
+                                  (   60.57  1087.37   -77.77     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-1-1
+                                  (   60.57  1089.67   -76.97     1.14)  ; 2
+                                  (   61.94  1091.97   -76.95     1.14)  ; 3
+                                  (   61.94  1093.98   -77.20     1.14)  ; 4
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+                                  (   63.75  1108.63   -77.07     1.14)  ; 14
+                                  (   64.21  1111.22   -77.15     1.14)  ; 15
+                                  (   64.21  1112.65   -77.42     1.14)  ; 16
+                                  (   63.30  1114.95   -78.75     1.14)  ; 17
+                                  (   63.98  1117.25   -79.70     1.36)  ; 18
+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
+                                    (   62.62  1116.68   -77.88     1.36)  ; 1
+                                    (   61.94  1113.52   -78.55     1.36)  ; 2
+                                    (   65.35  1113.80   -76.77     1.36)  ; 3
+                                    (   68.75  1113.23   -77.17     1.36)  ; 4
+                                    (   65.57  1111.50   -77.47     1.36)  ; 5
+                                    (   63.07  1112.37   -76.52     1.36)  ; 6
+                                    (   65.57  1109.49   -76.38     1.36)  ; 7
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+                                    (   65.12  1108.34   -78.13     1.36)  ; 10
+                                    (   62.39  1107.19   -74.10     1.36)  ; 11
+                                    (   62.62  1106.04   -75.15     1.36)  ; 12
+                                    (   65.57  1104.61   -78.70     1.36)  ; 13
+                                    (   62.62  1103.17   -77.03     1.36)  ; 14
+                                    (   61.71  1102.60   -76.88     1.36)  ; 15
+                                    (   64.44  1101.73   -76.32     1.36)  ; 16
+                                    (   64.21  1099.72   -76.47     1.36)  ; 17
+                                    (   60.12  1098.00   -78.10     1.36)  ; 18
+                                    (   60.80  1095.13   -76.25     1.36)  ; 19
+                                    (   63.30  1097.71   -76.92     1.36)  ; 20
+                                    (   62.39  1095.70   -76.82     1.36)  ; 21
+                                    (   65.12  1092.25   -75.92     1.36)  ; 22
+                                    (   62.62  1090.24   -76.72     1.36)  ; 23
+                                    (   62.85  1087.66   -74.67     1.36)  ; 24
+                                    (   59.66  1087.94   -75.47     1.36)  ; 25
+                                    (   60.57  1090.53   -78.10     1.36)  ; 26
+                                    (   63.07  1093.11   -78.10     1.36)  ; 27
+                                    (   63.30  1094.84   -78.15     1.36)  ; 28
+                                  )  ;  End of markers
+                                  (
+                                    (   62.85  1118.11   -80.22     0.68)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-1-1-1
+                                    (   62.62  1119.55   -79.22     0.68)  ; 2
+                                    (   61.71  1120.41   -79.22     0.68)  ; 3
+                                    (   61.25  1121.56   -78.60     0.68)  ; 4
+                                    (   61.94  1121.56   -78.10     0.68)  ; 5
+                                    (   63.75  1121.27   -77.47     0.68)  ; 6
+                                    (   64.44  1122.14   -76.77     0.45)  ; 7
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+                                    (   66.94  1124.15   -75.20     0.68)  ; 9
+                                    (   68.07  1124.43   -73.88     0.68)  ; 10
+                                    (   68.98  1125.58   -72.07     0.68)  ; 11
+                                    (   69.89  1126.45   -70.25     0.68)  ; 12
+                                    (   71.48  1127.31   -68.90     0.45)  ; 13
+                                    (   72.39  1128.17   -67.68     0.45)  ; 14
+                                    (   73.98  1128.74   -66.85     0.45)  ; 15
+                                    (   74.89  1130.18   -65.85     0.45)  ; 16
+                                    (   76.25  1130.18   -65.10     0.45)  ; 17
+                                    (   76.71  1129.89   -64.27     0.45)  ; 18
+                                    (   77.39  1129.03   -63.50     0.45)  ; 19
+                                    (   79.21  1127.59   -61.52     0.45)  ; 20
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (   80.35  1131.04   -65.32     0.45)  ; 1
+                                      (   77.39  1128.46   -66.20     0.45)  ; 2
+                                      (   75.35  1127.31   -66.92     0.45)  ; 3
+                                      (   74.21  1130.18   -68.25     0.45)  ; 4
+                                      (   74.21  1125.01   -73.38     0.45)  ; 5
+                                      (   73.30  1125.30   -73.42     0.45)  ; 6
+                                      (   70.57  1127.59   -69.65     0.45)  ; 7
+                                      (   69.21  1126.45   -70.40     0.45)  ; 8
+                                      (   66.48  1125.58   -75.25     0.45)  ; 9
+                                      (   67.16  1124.15   -76.28     0.45)  ; 10
+                                      (   69.66  1123.86   -76.35     0.45)  ; 11
+                                      (   66.03  1122.71   -76.55     0.45)  ; 12
+                                      (   64.44  1124.15   -76.80     0.45)  ; 13
+                                      (   66.03  1124.15   -76.85     0.45)  ; 14
+                                      (   61.94  1123.86   -80.28     0.45)  ; 15
+                                      (   62.85  1119.84   -78.13     0.45)  ; 16
+                                    )  ;  End of markers
+                                     Normal
+                                  |
+                                    (   64.44  1118.97   -79.70     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-1-1-2
+                                    (   65.35  1119.26   -82.90     0.91)  ; 2
+                                    (   67.62  1118.69   -84.08     0.91)  ; 3
+                                    (   68.75  1118.97   -84.08     0.91)  ; 4
+                                    (   69.44  1118.11   -84.08     0.91)  ; 5
+                                    (   71.03  1117.25   -84.65     0.91)  ; 6
+                                    (   72.39  1116.96   -85.28     0.91)  ; 7
+                                    (   74.21  1118.11   -85.82     0.91)  ; 8
+                                    (   75.57  1118.40   -86.27     0.91)  ; 9
+                                    (   77.39  1118.97   -86.38     1.14)  ; 10
+                                    (   78.75  1119.55   -87.87     1.14)  ; 11
+                                    (   80.35  1118.69   -87.97     0.91)  ; 12
+                                    (   81.94  1119.55   -88.65     1.14)  ; 13
+                                    (   83.07  1119.26   -88.72     1.14)  ; 14
+                                    (   84.44  1119.26   -89.60     0.91)  ; 15
+                                    (   86.25  1120.41   -89.63     0.91)  ; 16
+                                    (   88.30  1121.56   -91.47     1.14)  ; 17
+                                    (   89.21  1122.14   -93.63     1.14)  ; 18
+                                    (   91.94  1122.42   -95.57     0.91)  ; 19
+                                    (   95.57  1123.57   -96.80     0.91)  ; 20
+                                    (   96.94  1123.00   -97.87     0.91)  ; 21
+                                    (   98.41  1122.14   -94.70     0.91)  ; 22
+                                    (  101.60  1123.28   -95.13     0.91)  ; 23
+                                    (  104.10  1122.71   -95.15     1.14)  ; 24
+                                    (  105.69  1123.00   -95.20     1.14)  ; 25
+                                    (  106.82  1124.15   -95.20     0.91)  ; 26
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+                                    (  118.41  1124.43  -100.15     0.91)  ; 30
+                                    (  120.69  1125.01  -100.70     0.91)  ; 31
+                                    (  123.87  1125.01  -101.00     0.91)  ; 32
+                                    (  127.50  1124.72  -101.55     0.68)  ; 33
+                                    (  130.00  1124.72  -101.62     0.45)  ; 34
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (   92.85  1123.86   -92.97     0.91)  ; 1
+                                      (   89.21  1118.40   -90.00     0.91)  ; 2
+                                      (   86.03  1118.69   -89.97     0.91)  ; 3
+                                      (   84.66  1120.70   -88.15     0.91)  ; 4
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+                                      (   75.12  1119.55   -83.18     0.91)  ; 9
+                                      (   75.80  1116.68   -82.45     0.91)  ; 10
+                                      (   71.03  1115.53   -83.55     0.91)  ; 11
+                                      (   71.25  1118.11   -82.70     0.91)  ; 12
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+                                      (   67.39  1120.41   -84.70     0.91)  ; 14
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+                                      (   67.39  1117.54   -82.80     0.91)  ; 16
+                                      (   64.66  1119.84   -81.43     0.91)  ; 17
+                                      (   66.25  1120.12   -81.53     0.91)  ; 18
+                                      (  119.10  1125.87   -98.57     0.45)  ; 19
+                                      (  116.60  1123.86   -97.95     0.45)  ; 20
+                                      (  124.78  1125.30   -98.60     0.45)  ; 21
+                                      (  111.37  1125.30   -95.63     0.45)  ; 22
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+                                      (  100.23  1121.27   -92.55     0.45)  ; 28
+                                      (   96.60  1121.27   -92.83     0.45)  ; 29
+                                      (   96.14  1124.15   -93.00     0.45)  ; 30
+                                    )  ;  End of markers
+                                     Normal
+                                  )  ;  End of split
+                                |
+                                  (   58.53  1086.79   -79.47     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-1-2
+                                  (   58.07  1087.37   -79.50     0.91)  ; 2
+                                  (   58.75  1088.52   -80.52     0.91)  ; 3
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+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
+                                    (   57.62  1089.09   -79.32     0.45)  ; 1
+                                    (   58.07  1091.10   -79.75     0.45)  ; 2
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+                                    (   69.44  1111.22   -89.03     0.45)  ; 17
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+                                    (   71.71  1113.52   -89.95     0.45)  ; 21
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+                                    (   74.89  1114.09   -89.82     0.45)  ; 23
+                                    (   73.07  1114.95   -89.85     0.45)  ; 24
+                                    (   73.53  1117.54   -93.20     0.45)  ; 25
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+                                    (   70.12  1120.41   -94.43     0.45)  ; 27
+                                    (   68.53  1122.42   -94.52     0.45)  ; 28
+                                    (   69.89  1129.32   -98.07     0.45)  ; 29
+                                  )  ;  End of markers
+                                   Normal
+                                )  ;  End of split
+                              |
+                                (   62.44  1026.61   -69.27     1.59)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2
+                                (   61.75  1028.05   -68.32     1.59)  ; 2
+                                (   60.16  1029.77   -67.55     1.59)  ; 3
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+                                (   59.48  1032.07   -66.63     1.59)  ; 5
+
+                                (FilledCircle
+                                  (Color Yellow)
+                                  (Name "Marker 11")
+                                  (   57.89  1029.77   -68.47     1.59)  ; 1
+                                  (   62.21  1030.35   -68.80     1.59)  ; 2
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+                                  (   60.85  1026.61   -68.50     1.59)  ; 4
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+                                  (   58.12  1032.36   -66.60     1.59)  ; 7
+                                )  ;  End of markers
+                                (
+                                  (   59.27  1033.00   -67.50     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2-1
+                                  (   59.96  1034.72   -68.35     1.14)  ; 2
+                                  (   61.32  1036.16   -68.28     1.36)  ; 3
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+                                  (   64.73  1042.19   -66.47     1.36)  ; 7
+                                  (   64.27  1044.20   -65.50     1.59)  ; 8
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+                                  (   63.36  1057.13   -62.97     1.59)  ; 15
+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
+                                    (   60.86  1056.84   -65.00     1.59)  ; 1
+                                    (   60.64  1056.27   -66.13     1.59)  ; 2
+                                    (   60.86  1053.97   -66.28     1.59)  ; 3
+                                    (   61.55  1051.39   -63.82     1.59)  ; 4
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+                                    (   61.09  1037.59   -68.90     1.59)  ; 21
+                                    (   59.96  1037.02   -68.95     1.59)  ; 22
+                                    (   62.23  1035.58   -66.90     1.59)  ; 23
+                                  )  ;  End of markers
+                                  (
+                                    (   63.78  1058.25   -61.12     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2-1-1
+                                    (   63.55  1060.26   -59.25     0.91)  ; 2
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+                                    (   69.01  1081.24   -56.08     0.91)  ; 12
+                                    (   71.73  1082.67   -55.45     0.68)  ; 13
+                                    (   74.23  1083.82   -55.45     0.91)  ; 14
+                                    (   75.14  1083.82   -54.35     1.14)  ; 15
+                                    (   76.96  1083.53   -53.25     0.91)  ; 16
+                                    (   79.23  1083.82   -52.67     0.91)  ; 17
+                                    (   80.60  1084.11   -51.85     0.68)  ; 18
+                                    (   82.64  1084.97   -51.42     0.68)  ; 19
+                                    (   84.91  1086.12   -50.63     0.91)  ; 20
+                                    (   86.28  1087.84   -50.22     0.91)  ; 21
+                                    (   87.64  1088.71   -49.65     0.68)  ; 22
+                                    (   88.78  1089.57   -48.90     1.14)  ; 23
+                                    (   89.91  1089.28   -49.75     1.14)  ; 24
+                                    (   91.20  1089.06   -50.00     1.14)  ; 25
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (   90.14  1088.13   -52.88     1.14)  ; 1
+                                      (   84.46  1088.42   -52.20     1.14)  ; 2
+                                      (   87.41  1086.70   -52.55     1.14)  ; 3
+                                      (   88.78  1090.14   -49.20     1.14)  ; 4
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+                                      (   82.87  1083.53   -51.03     1.14)  ; 6
+                                      (   81.73  1083.53   -52.57     1.14)  ; 7
+                                      (   80.37  1082.67   -51.65     1.14)  ; 8
+                                      (   85.37  1085.55   -49.22     1.14)  ; 9
+                                      (   79.69  1084.68   -52.82     1.14)  ; 10
+                                      (   76.05  1083.25   -52.70     1.14)  ; 11
+                                      (   75.60  1085.26   -57.35     1.14)  ; 12
+                                      (   74.69  1084.68   -54.00     1.14)  ; 13
+                                      (   72.19  1084.11   -55.88     1.14)  ; 14
+                                      (   69.91  1084.40   -57.55     1.14)  ; 15
+                                      (   70.37  1080.09   -56.17     1.14)  ; 16
+                                      (   68.78  1081.52   -56.17     1.14)  ; 17
+                                      (   67.64  1080.95   -56.20     1.14)  ; 18
+                                      (   69.23  1082.67   -56.72     1.14)  ; 19
+                                      (   66.51  1080.66   -58.72     1.14)  ; 20
+                                      (   68.78  1078.94   -58.38     1.14)  ; 21
+                                      (   63.78  1076.64   -58.67     1.14)  ; 22
+                                      (   65.37  1073.77   -57.42     1.14)  ; 23
+                                      (   60.37  1071.18   -58.70     1.14)  ; 24
+                                      (   62.87  1072.33   -59.25     1.14)  ; 25
+                                      (   65.37  1069.74   -58.65     1.14)  ; 26
+                                      (   62.87  1068.02   -58.65     1.14)  ; 27
+                                      (   63.10  1064.00   -57.92     1.14)  ; 28
+                                      (   64.01  1062.85   -60.32     1.14)  ; 29
+                                      (   62.64  1061.12   -59.63     1.14)  ; 30
+                                      (   64.46  1060.55   -61.77     1.14)  ; 31
+                                    )  ;  End of markers
+                                    (
+                                      (   93.02  1088.48   -49.97     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2-1-1-1
+                                      (   94.39  1088.20   -50.90     0.91)  ; 2
+                                      (   95.75  1087.62   -50.90     0.68)  ; 3
+                                      (   97.34  1086.76   -51.38     0.68)  ; 4
+                                      (   98.70  1086.47   -51.35     0.68)  ; 5
+                                      (  100.07  1086.19   -51.63     0.91)  ; 6
+                                      (  101.89  1085.90   -51.65     0.68)  ; 7
+                                      (  103.48  1085.32   -51.97     0.68)  ; 8
+                                      (  104.84  1085.04   -50.83     0.68)  ; 9
+                                      (  105.52  1085.04   -50.83     0.68)  ; 10
+                                      (  106.89  1084.46   -50.83     0.68)  ; 11
+                                      (  108.48  1084.46   -50.83     0.91)  ; 12
+                                      (  110.75  1084.18   -50.83     0.91)  ; 13
+                                      (  113.25  1083.89   -51.15     0.68)  ; 14
+                                      (  115.52  1083.31   -50.47     0.68)  ; 15
+                                      (  117.11  1082.74   -50.52     0.45)  ; 16
+                                      (  117.80  1082.74   -49.83     0.45)  ; 17
+                                      (  119.39  1082.45   -49.83     0.45)  ; 18
+                                      (  121.20  1082.45   -49.45     0.45)  ; 19
+                                      (  122.57  1082.16   -49.47     0.91)  ; 20
+                                      (  123.70  1081.88   -50.52     0.91)  ; 21
+                                      (  125.30  1081.88   -51.12     0.45)  ; 22
+                                      (  126.66  1081.30   -51.70     0.45)  ; 23
+                                      (  127.80  1081.01   -51.77     1.14)  ; 24
+                                      (  129.16  1080.44   -52.08     0.68)  ; 25
+                                      (  130.98  1079.87   -52.60     0.45)  ; 26
+                                      (  132.11  1079.87   -52.80     0.45)  ; 27
+                                      (  133.02  1079.58   -53.75     0.45)  ; 28
+                                      (  134.84  1079.29   -54.30     0.45)  ; 29
+
+                                      (FilledCircle
+                                        (Color Yellow)
+                                        (Name "Marker 11")
+                                        (  134.16  1077.85   -53.13     0.45)  ; 1
+                                        (  133.25  1077.85   -53.00     0.45)  ; 2
+                                        (  133.48  1080.15   -53.15     0.45)  ; 3
+                                        (  130.52  1081.88   -51.50     0.45)  ; 4
+                                        (  126.66  1083.03   -51.45     0.45)  ; 5
+                                        (  124.61  1080.73   -50.97     0.45)  ; 6
+                                        (  121.43  1081.30   -51.08     0.45)  ; 7
+                                        (  121.43  1083.60   -49.80     0.45)  ; 8
+                                        (  120.07  1083.89   -49.80     0.45)  ; 9
+                                        (  118.02  1082.74   -48.27     0.45)  ; 10
+                                        (  123.48  1081.30   -48.97     0.45)  ; 11
+                                        (  115.30  1084.46   -50.30     0.45)  ; 12
+                                        (  110.07  1086.47   -50.77     0.45)  ; 13
+                                        (  110.30  1081.88   -51.50     0.45)  ; 14
+                                        (  109.84  1083.03   -52.47     0.45)  ; 15
+                                        (  104.61  1083.89   -52.20     0.45)  ; 16
+                                        (  106.43  1086.19   -52.00     0.45)  ; 17
+                                        (   97.57  1087.91   -50.75     0.45)  ; 18
+                                        (   95.98  1088.48   -49.47     0.45)  ; 19
+                                        (   97.34  1086.19   -49.92     0.45)  ; 20
+                                        (   95.75  1086.47   -50.13     0.45)  ; 21
+                                        (  100.98  1087.34   -51.45     0.45)  ; 22
+                                        (  100.98  1084.46   -51.45     0.45)  ; 23
+                                        (  102.34  1085.04   -50.88     0.45)  ; 24
+                                      )  ;  End of markers
+                                       Normal
+                                    |
+                                      (   92.11  1088.48   -47.85     0.68)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2-1-1-2
+                                      (   93.48  1088.48   -47.70     0.45)  ; 2
+                                      (   93.93  1087.91   -47.53     0.45)  ; 3
+                                      (   93.93  1087.05   -47.53     0.45)  ; 4
+                                      (   93.93  1086.47   -47.10     0.45)  ; 5
+                                      (   93.93  1085.90   -48.02     0.45)  ; 6
+                                      (   94.16  1085.32   -48.05     0.91)  ; 7
+                                      (   94.84  1085.04   -46.95     1.14)  ; 8
+                                      (   96.89  1084.46   -46.32     0.68)  ; 9
+                                      (   98.70  1084.75   -45.48     0.68)  ; 10
+                                      (  100.52  1085.61   -44.63     0.68)  ; 11
+                                      (  102.57  1087.05   -43.97     0.68)  ; 12
+                                      (  103.70  1088.48   -44.07     0.68)  ; 13
+                                      (  105.30  1089.06   -44.07     0.45)  ; 14
+                                      (  106.43  1089.35   -43.02     0.45)  ; 15
+                                      (  108.02  1089.92   -42.10     0.45)  ; 16
+                                      (  108.93  1090.50   -40.68     0.45)  ; 17
+                                      (  108.25  1091.07   -39.80     0.45)  ; 18
+                                      (  107.34  1091.07   -39.28     0.23)  ; 19
+                                      (  107.11  1092.22   -38.70     0.23)  ; 20
+                                      (  105.52  1092.51   -38.72     0.23)  ; 21
+
+                                      (FilledCircle
+                                        (Color Yellow)
+                                        (Name "Marker 11")
+                                        (  109.61  1090.21   -42.70     0.23)  ; 1
+                                        (  106.43  1087.91   -45.77     0.23)  ; 2
+                                        (  105.98  1089.35   -44.78     0.23)  ; 3
+                                        (  104.16  1089.63   -44.85     0.23)  ; 4
+                                        (  105.30  1090.21   -44.10     0.23)  ; 5
+                                        (  105.07  1087.91   -44.67     0.23)  ; 6
+                                        (  103.02  1088.48   -43.53     0.23)  ; 7
+                                        (  100.75  1086.47   -44.65     0.23)  ; 8
+                                        (  101.89  1087.34   -44.65     0.23)  ; 9
+                                        (  101.89  1083.31   -45.72     0.23)  ; 10
+                                        (   92.34  1084.46   -49.63     0.23)  ; 11
+                                        (   95.07  1085.61   -46.70     0.23)  ; 12
+                                        (   97.57  1083.31   -48.07     0.23)  ; 13
+                                      )  ;  End of markers
+                                       Normal
+                                    )  ;  End of split
+                                  |
+                                    (   62.91  1058.57   -63.25     1.59)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2-1-2
+                                    (   62.23  1060.29   -63.25     1.59)  ; 2
+                                    (   61.32  1061.73   -62.80     1.59)  ; 3
+                                    (   59.96  1063.17   -61.97     1.59)  ; 4
+                                    (   59.27  1064.31   -61.55     1.59)  ; 5
+                                    (   58.82  1066.04   -61.35     1.59)  ; 6
+                                    (   57.23  1067.76   -60.60     1.59)  ; 7
+                                    (   55.41  1069.49   -60.13     1.36)  ; 8
+                                    (   54.27  1071.50   -60.13     1.59)  ; 9
+                                    (   52.68  1072.93   -60.13     1.59)  ; 10
+                                    (   50.64  1073.51   -60.13     1.36)  ; 11
+                                    (   48.59  1075.23   -59.67     1.36)  ; 12
+                                    (   45.86  1076.38   -59.67     1.14)  ; 13
+                                    (   44.96  1077.14   -59.22     1.14)  ; 14
+                                    (   44.51  1078.58   -58.65     1.59)  ; 15
+                                    (   44.28  1080.59   -58.95     1.59)  ; 16
+                                    (   43.15  1082.31   -58.20     1.59)  ; 17
+                                    (   40.42  1084.04   -58.00     1.36)  ; 18
+                                    (   39.05  1084.90   -57.00     1.36)  ; 19
+                                    (   37.46  1086.05   -56.12     1.59)  ; 20
+                                    (   35.65  1087.20   -55.50     1.59)  ; 21
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (   52.23  1074.95   -61.15     1.14)  ; 1
+                                      (   54.50  1074.08   -61.40     1.14)  ; 2
+                                      (   55.41  1072.36   -63.05     1.14)  ; 3
+                                      (   54.73  1072.93   -59.20     1.14)  ; 4
+                                      (   58.36  1072.93   -60.32     1.14)  ; 5
+                                      (   56.55  1071.50   -61.40     1.14)  ; 6
+                                      (   57.23  1070.92   -60.25     1.14)  ; 7
+                                      (   49.73  1070.35   -60.00     1.14)  ; 8
+                                      (   50.18  1075.81   -59.22     1.14)  ; 9
+                                      (   47.23  1074.37   -59.38     1.14)  ; 10
+                                      (   48.14  1073.51   -60.38     1.14)  ; 11
+                                      (   49.27  1073.22   -60.22     1.14)  ; 12
+                                      (   51.09  1072.65   -59.42     1.14)  ; 13
+                                      (   51.32  1074.66   -58.05     1.14)  ; 14
+                                      (   52.68  1069.20   -61.08     1.14)  ; 15
+                                      (   58.14  1070.06   -64.22     1.14)  ; 16
+                                      (   55.18  1067.19   -63.17     1.14)  ; 17
+                                      (   54.05  1068.62   -62.82     1.14)  ; 18
+                                      (   54.50  1069.49   -63.45     1.14)  ; 19
+                                      (   58.36  1068.62   -61.08     1.14)  ; 20
+                                      (   57.00  1069.49   -61.15     1.14)  ; 21
+                                      (   60.86  1066.33   -61.97     1.14)  ; 22
+                                      (   59.50  1067.19   -62.95     1.14)  ; 23
+                                      (   55.64  1065.18   -62.33     1.14)  ; 24
+                                      (   55.86  1066.04   -61.70     1.14)  ; 25
+                                      (   57.46  1066.04   -63.67     1.14)  ; 26
+                                      (   57.46  1064.31   -62.72     1.14)  ; 27
+                                      (   58.14  1061.73   -63.90     1.14)  ; 28
+                                      (   58.59  1062.88   -63.92     1.14)  ; 29
+                                      (   59.50  1059.43   -62.60     1.14)  ; 30
+                                      (   60.86  1058.57   -62.85     1.14)  ; 31
+                                      (   60.64  1064.31   -61.10     1.14)  ; 32
+                                      (   62.91  1060.87   -59.65     1.14)  ; 33
+                                      (   62.68  1061.73   -63.05     1.14)  ; 34
+                                      (   37.01  1088.35   -53.67     1.59)  ; 35
+                                      (   39.28  1086.91   -53.58     1.59)  ; 36
+                                      (   39.96  1086.91   -58.62     1.59)  ; 37
+                                      (   41.55  1086.91   -58.62     1.59)  ; 38
+                                      (   42.01  1085.47   -58.67     1.59)  ; 39
+                                      (   42.46  1087.49   -55.45     1.59)  ; 40
+                                      (   39.28  1083.18   -57.28     1.59)  ; 41
+                                      (   43.37  1085.19   -58.45     1.59)  ; 42
+                                      (   44.74  1084.90   -58.85     1.59)  ; 43
+                                      (   44.74  1083.75   -57.57     1.59)  ; 44
+                                      (   46.10  1082.03   -59.60     1.59)  ; 45
+                                      (   42.24  1080.01   -59.70     1.59)  ; 46
+                                      (   46.78  1083.46   -58.53     1.59)  ; 47
+                                      (   48.15  1083.46   -56.42     1.59)  ; 48
+                                      (   46.33  1080.30   -58.45     1.59)  ; 49
+                                      (   47.24  1078.87   -59.85     1.59)  ; 50
+                                      (   38.15  1084.61   -55.85     1.59)  ; 51
+                                      (   36.55  1085.19   -55.80     1.59)  ; 52
+                                      (   34.51  1085.76   -53.45     1.59)  ; 53
+                                      (   38.15  1087.49   -58.10     1.59)  ; 54
+                                    )  ;  End of markers
+                                    (
+                                      (   35.53  1088.67   -55.50     0.68)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2-1-2-1
+                                      (   35.08  1089.82   -54.55     0.68)  ; 2
+                                      (   33.94  1090.10   -54.47     0.68)  ; 3
+                                      (   32.58  1091.54   -53.92     0.91)  ; 4
+                                      (   31.67  1093.26   -53.50     0.68)  ; 5
+                                      (   32.12  1094.99   -53.10     0.68)  ; 6
+                                      (   32.58  1096.42   -52.77     0.68)  ; 7
+                                      (   33.03  1097.57   -52.13     0.68)  ; 8
+                                      (   32.35  1098.72   -52.13     0.68)  ; 9
+                                      (   32.58  1099.87   -51.55     0.68)  ; 10
+                                      (   33.26  1101.02   -51.55     0.91)  ; 11
+                                      (   33.26  1102.75   -51.55     0.68)  ; 12
+                                      (   34.17  1104.47   -52.08     0.68)  ; 13
+                                      (   33.94  1106.19   -52.53     0.68)  ; 14
+                                      (   34.17  1107.34   -52.10     0.68)  ; 15
+                                      (   34.62  1109.35   -52.40     0.68)  ; 16
+                                      (   35.30  1110.79   -51.35     0.68)  ; 17
+                                      (   36.90  1112.51   -50.17     0.91)  ; 18
+                                      (   36.90  1113.95   -50.17     0.91)  ; 19
+                                      (   37.12  1115.39   -50.75     0.68)  ; 20
+                                      (   37.35  1117.11   -51.15     0.68)  ; 21
+                                      (   36.90  1118.26   -49.90     0.68)  ; 22
+                                      (   35.30  1119.70   -49.15     0.68)  ; 23
+                                      (   35.53  1120.27   -49.05     0.68)  ; 24
+                                      (   37.12  1121.13   -49.05     0.68)  ; 25
+                                      (   37.80  1122.28   -48.92     0.68)  ; 26
+                                      (   38.49  1123.43   -48.90     0.68)  ; 27
+                                      (   40.53  1124.58   -48.27     0.91)  ; 28
+                                      (   40.53  1126.31   -49.55     0.68)  ; 29
+                                      (   40.76  1128.32   -49.02     0.68)  ; 30
+                                      (   41.67  1129.47   -48.10     0.68)  ; 31
+                                      (   43.49  1130.62   -47.60     0.68)  ; 32
+                                      (   43.71  1132.05   -46.88     0.91)  ; 33
+                                      (   43.71  1132.91   -46.82     0.91)  ; 34
+
+                                      (FilledCircle
+                                        (Color Yellow)
+                                        (Name "Marker 11")
+                                        (   42.12  1132.34   -47.47     0.91)  ; 1
+                                        (   45.08  1130.90   -48.45     0.91)  ; 2
+                                        (   47.80  1130.90   -47.33     0.91)  ; 3
+                                        (   48.26  1132.63   -48.18     0.91)  ; 4
+                                        (   40.08  1128.60   -48.80     0.91)  ; 5
+                                        (   39.62  1126.31   -50.07     0.91)  ; 6
+                                        (   40.99  1123.72   -47.53     0.91)  ; 7
+                                        (   34.85  1120.85   -51.32     0.91)  ; 8
+                                        (   37.80  1119.41   -48.97     0.91)  ; 9
+                                        (   34.40  1119.41   -50.13     0.91)  ; 10
+                                        (   36.44  1117.69   -51.45     0.91)  ; 11
+                                        (   35.76  1115.96   -52.55     0.91)  ; 12
+                                        (   38.94  1115.96   -50.60     0.91)  ; 13
+                                        (   36.67  1117.11   -49.17     0.91)  ; 14
+                                        (   38.71  1114.24   -50.83     0.91)  ; 15
+                                        (   40.53  1113.09   -50.97     0.91)  ; 16
+                                        (   39.17  1112.51   -50.97     0.91)  ; 17
+                                        (   33.71  1110.50   -54.40     0.91)  ; 18
+                                        (   36.44  1109.07   -51.12     0.91)  ; 19
+                                        (   36.67  1110.50   -50.32     0.91)  ; 20
+                                        (   35.99  1114.53   -51.97     0.91)  ; 21
+                                        (   33.49  1108.20   -51.90     0.91)  ; 22
+                                        (   36.21  1104.76   -51.42     0.91)  ; 23
+                                        (   34.85  1103.32   -53.72     0.91)  ; 24
+                                        (   34.40  1101.60   -53.78     0.91)  ; 25
+                                        (   34.40  1097.57   -53.75     0.91)  ; 26
+                                        (   31.67  1096.71   -52.65     0.91)  ; 27
+                                        (   30.99  1094.70   -53.65     0.91)  ; 28
+                                        (   33.49  1093.26   -55.57     0.91)  ; 29
+                                        (   30.53  1091.54   -55.05     0.91)  ; 30
+                                        (   34.17  1091.25   -51.97     0.91)  ; 31
+                                        (   35.08  1091.25   -56.28     0.91)  ; 32
+                                        (   35.76  1089.82   -54.25     0.91)  ; 33
+                                        (   46.21  1131.77   -47.42     0.91)  ; 34
+                                      )  ;  End of markers
+                                       Normal
+                                    |
+                                      (   33.37  1088.06   -56.03     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2-1-2-2
+                                      (   31.33  1088.63   -54.43     1.14)  ; 2
+                                      (   29.96  1088.92   -53.70     1.14)  ; 3
+                                      (   28.60  1088.63   -52.65     1.36)  ; 4
+                                      (   27.24  1088.63   -51.82     1.59)  ; 5
+                                      (   25.65  1089.78   -51.85     1.14)  ; 6
+                                      (   24.51  1090.65   -51.85     1.14)  ; 7
+                                      (   23.15  1090.93   -51.10     1.14)  ; 8
+                                      (   21.33  1090.36   -50.42     1.14)  ; 9
+                                      (   20.19  1090.07   -50.30     1.14)  ; 10
+                                      (   18.60  1090.65   -49.65     1.14)  ; 11
+                                      (   17.46  1091.22   -48.92     1.59)  ; 12
+                                      (   15.42  1091.22   -47.97     1.82)  ; 13
+                                      (   13.49  1092.43   -47.70     1.14)  ; 14
+                                      (   11.67  1093.58   -47.10     1.14)  ; 15
+                                      (    9.62  1094.44   -46.50     1.14)  ; 16
+                                      (    8.03  1096.46   -45.90     1.14)  ; 17
+                                      (    6.21  1098.47   -45.48     0.91)  ; 18
+                                      (    5.08  1100.77   -44.95     0.91)  ; 19
+                                      (    3.49  1102.20   -45.05     1.14)  ; 20
+                                      (    2.58  1103.35   -44.60     0.91)  ; 21
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+                                      )  ;  End of markers
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+
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+                                          (Name "Marker 11")
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+                                          (  -90.83  1117.43   -57.57     0.45)  ; 5
+                                        )  ;  End of markers
+                                         Normal
+                                      |
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+
+                                        (FilledCircle
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+                                         Normal
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+                                  (   69.71  1043.85   -55.42     1.36)  ; 18
+                                  (   70.16  1045.29   -54.52     1.36)  ; 19
+                                  (   70.85  1045.58   -54.07     1.36)  ; 20
+                                  (   71.75  1045.29   -53.10     1.36)  ; 21
+                                  (   71.75  1044.43   -52.40     1.36)  ; 22
+                                  (   70.85  1044.43   -51.77     1.36)  ; 23
+                                  (   70.39  1046.15   -50.77     1.36)  ; 24
+                                  (   68.80  1046.73   -50.55     1.36)  ; 25
+                                  (   68.35  1047.59   -50.27     1.36)  ; 26
+                                  (   67.89  1048.74   -49.83     1.36)  ; 27
+                                  (   67.66  1049.60   -49.05     1.36)  ; 28
+                                  (   67.21  1050.75   -48.78     1.36)  ; 29
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+                                  (   68.12  1055.63   -48.18     1.36)  ; 31
+                                  (   68.35  1056.21   -46.90     1.36)  ; 32
+                                  (   69.03  1056.78   -46.52     1.36)  ; 33
+                                  (   69.48  1057.93   -46.15     1.36)  ; 34
+                                  (   69.25  1059.08   -45.55     1.36)  ; 35
+                                  (   68.35  1059.66   -45.03     1.36)  ; 36
+                                  (   67.44  1059.08   -44.52     1.36)  ; 37
+                                  (   66.07  1059.37   -44.55     1.36)  ; 38
+                                  (   65.85  1060.52   -44.00     1.36)  ; 39
+                                  (   64.94  1061.96   -43.25     1.36)  ; 40
+                                  (   64.48  1062.82   -42.47     1.36)  ; 41
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+                                  (   65.39  1064.25   -41.25     1.36)  ; 43
+                                  (   66.07  1065.12   -40.45     1.36)  ; 44
+                                  (   66.78  1064.81   -41.70     1.14)  ; 45
+                                  (   67.69  1064.81   -41.20     1.14)  ; 46
+                                  (   67.69  1065.67   -39.85     1.14)  ; 47
+                                  (   66.78  1065.96   -38.92     1.14)  ; 48
+                                  (   67.01  1066.82   -38.13     1.14)  ; 49
+                                  (   67.92  1066.53   -37.45     1.14)  ; 50
+                                  (   68.60  1065.67   -36.88     1.14)  ; 51
+                                  (   68.60  1066.53   -36.33     1.14)  ; 52
+                                  (   67.24  1067.97   -35.50     1.14)  ; 53
+                                  (   67.24  1069.98   -36.13     1.14)  ; 54
+                                  (   67.12  1072.60   -35.42     1.14)  ; 55
+                                  (   67.80  1074.03   -33.97     1.14)  ; 56
+                                  (   69.40  1074.61   -32.50     1.36)  ; 57
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+                                  (   72.12  1075.47   -29.90     1.36)  ; 59
+                                  (   72.80  1076.04   -28.72     1.36)  ; 60
+                                  (   72.58  1076.91   -31.45     1.36)  ; 61
+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
+                                    (   62.21  1034.37   -64.80     1.36)  ; 1
+                                    (   64.48  1032.36   -62.33     1.36)  ; 2
+                                    (   64.71  1034.66   -63.13     1.36)  ; 3
+                                    (   65.16  1032.94   -66.50     1.36)  ; 4
+                                    (   68.80  1034.66   -61.30     1.36)  ; 5
+                                    (   64.71  1038.11   -57.90     1.36)  ; 6
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+                                    (   70.62  1038.11   -56.67     1.36)  ; 10
+                                    (   71.98  1040.12   -56.82     1.36)  ; 11
+                                    (   68.12  1041.84   -54.90     1.36)  ; 12
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+                                    (   67.66  1045.58   -51.88     1.36)  ; 18
+                                    (   68.35  1046.15   -49.97     1.36)  ; 19
+                                    (   67.21  1047.88   -52.10     1.36)  ; 20
+                                    (   66.53  1050.18   -49.63     1.36)  ; 21
+                                    (   68.12  1050.46   -46.73     1.36)  ; 22
+                                    (   69.71  1051.04   -48.92     1.36)  ; 23
+                                    (   69.94  1053.05   -49.00     1.36)  ; 24
+                                    (   68.57  1052.76   -49.92     1.36)  ; 25
+                                    (   67.21  1053.62   -47.77     1.36)  ; 26
+                                    (   69.48  1055.06   -48.67     1.36)  ; 27
+                                    (   70.39  1056.50   -50.45     1.36)  ; 28
+                                    (   66.53  1057.07   -45.60     1.36)  ; 29
+                                    (   70.85  1059.08   -47.22     1.36)  ; 30
+                                    (   69.03  1057.65   -46.40     1.36)  ; 31
+                                    (   70.62  1059.94   -44.55     1.36)  ; 32
+                                    (   68.57  1061.38   -42.55     1.36)  ; 33
+                                    (   66.53  1062.53   -45.57     1.36)  ; 34
+                                    (   65.39  1060.23   -45.57     1.36)  ; 35
+                                    (   66.07  1059.37   -45.57     1.36)  ; 36
+                                    (   74.40  1076.91   -30.20     1.36)  ; 37
+                                    (   74.62  1075.76   -32.35     1.36)  ; 38
+                                    (   74.17  1075.18   -32.35     1.36)  ; 39
+                                    (   72.35  1073.46   -31.38     1.36)  ; 40
+                                    (   71.90  1074.32   -31.50     1.36)  ; 41
+                                    (   70.76  1074.03   -31.95     1.36)  ; 42
+                                    (   70.30  1076.04   -28.35     1.36)  ; 43
+                                    (   66.21  1074.32   -37.95     1.36)  ; 44
+                                    (   66.21  1075.47   -34.38     1.36)  ; 45
+                                    (   68.26  1072.88   -33.53     1.36)  ; 46
+                                    (   66.21  1071.16   -37.77     1.36)  ; 47
+                                    (   68.03  1069.15   -35.67     1.36)  ; 48
+                                    (   65.53  1067.71   -35.55     1.36)  ; 49
+                                    (   69.62  1068.57   -37.83     1.36)  ; 50
+                                    (   70.76  1068.00   -35.50     1.36)  ; 51
+                                    (   67.12  1064.84   -36.10     1.36)  ; 52
+                                  )  ;  End of markers
+                                  (
+                                    (   73.94  1078.06   -30.15     0.45)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2-2-1
+                                    (   73.71  1079.49   -30.15     0.45)  ; 2
+                                    (   73.94  1080.93   -30.13     0.45)  ; 3
+                                    (   73.71  1082.08   -29.22     0.45)  ; 4
+                                    (   74.40  1083.51   -29.05     0.45)  ; 5
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+                                    (   73.71  1085.81   -28.52     0.45)  ; 7
+                                    (   74.40  1086.96   -27.65     0.45)  ; 8
+                                    (   74.40  1088.40   -27.20     0.45)  ; 9
+                                    (   73.94  1089.26   -26.35     0.45)  ; 10
+                                    (   73.26  1090.41   -24.45     0.45)  ; 11
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (   73.26  1080.35   -29.72     0.45)  ; 1
+                                      (   74.62  1084.38   -28.23     0.45)  ; 2
+                                      (   74.17  1078.06   -33.33     0.45)  ; 3
+                                    )  ;  End of markers
+                                     Normal
+                                  |
+                                    (   72.12  1077.19   -31.00     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-1-2-2-2-2
+                                    (   70.99  1077.48   -29.15     0.91)  ; 2
+                                    (   71.44  1078.63   -28.72     0.91)  ; 3
+                                    (   71.90  1080.07   -28.72     0.91)  ; 4
+                                    (   71.21  1082.65   -28.72     0.91)  ; 5
+                                    (   72.35  1083.51   -27.77     0.91)  ; 6
+                                    (   72.12  1085.24   -26.48     0.91)  ; 7
+                                    (   72.12  1087.25   -25.83     0.91)  ; 8
+                                    (   71.21  1089.55   -25.83     0.91)  ; 9
+                                    (   71.90  1091.56   -25.10     0.91)  ; 10
+                                    (   73.49  1092.71   -24.48     0.91)  ; 11
+                                    (   75.08  1093.57   -24.67     0.91)  ; 12
+                                    (   75.08  1094.72   -23.47     0.91)  ; 13
+                                    (   74.62  1095.58   -22.38     0.91)  ; 14
+                                    (   74.40  1096.73   -21.70     0.91)  ; 15
+                                    (   73.94  1097.31   -21.05     0.91)  ; 16
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+                                    (   71.67  1097.31   -20.67     0.91)  ; 18
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+                                    (   73.26  1101.33   -21.65     0.68)  ; 20
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+                                    (   74.17  1105.35   -19.67     1.14)  ; 22
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+                                    (   76.21  1107.94   -18.55     0.68)  ; 24
+                                    (   75.30  1108.80   -18.55     0.68)  ; 25
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+                                    (   75.30  1113.11   -13.82     0.68)  ; 30
+                                    (   74.40  1113.40   -13.50     0.68)  ; 31
+                                    (   73.03  1113.11   -12.80     0.68)  ; 32
+                                    (   71.44  1112.53   -14.75     0.68)  ; 33
+                                    (   70.53  1111.96   -13.47     0.68)  ; 34
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (   70.53  1110.81   -14.75     0.68)  ; 1
+                                      (   69.17  1112.25   -15.22     0.68)  ; 2
+                                      (   74.17  1114.83   -14.95     0.68)  ; 3
+                                      (   75.30  1110.81   -16.73     0.68)  ; 4
+                                      (   72.80  1107.94   -18.38     0.68)  ; 5
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+                                      (   76.21  1109.66   -13.90     0.68)  ; 7
+                                      (   72.12  1108.80   -16.27     0.68)  ; 8
+                                      (   77.58  1107.94   -17.40     0.68)  ; 9
+                                      (   72.12  1104.49   -20.73     0.68)  ; 10
+                                      (   75.30  1103.63   -19.33     0.68)  ; 11
+                                      (   73.26  1105.35   -20.85     0.68)  ; 12
+                                      (   72.80  1102.77   -24.32     0.68)  ; 13
+                                      (   74.62  1101.33   -24.15     0.68)  ; 14
+                                      (   71.90  1099.60   -21.52     0.68)  ; 15
+                                      (   71.90  1097.88   -21.72     0.68)  ; 16
+                                      (   74.40  1098.46   -20.83     0.68)  ; 17
+                                      (   76.44  1097.02   -23.52     0.68)  ; 18
+                                      (   76.21  1096.16   -22.97     0.68)  ; 19
+                                      (   73.71  1096.16   -23.72     0.68)  ; 20
+                                      (   77.35  1105.93   -22.25     0.68)  ; 21
+                                      (   75.99  1093.86   -23.80     0.68)  ; 22
+                                      (   75.99  1092.42   -23.55     0.68)  ; 23
+                                      (   70.76  1092.42   -25.80     0.68)  ; 24
+                                      (   72.12  1093.28   -25.80     0.68)  ; 25
+                                      (   68.94  1088.69   -27.12     0.68)  ; 26
+                                      (   73.03  1088.97   -26.88     0.68)  ; 27
+                                      (   73.26  1090.41   -26.80     0.68)  ; 28
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+                                      (   71.21  1085.81   -26.77     0.68)  ; 30
+                                      (   71.44  1084.66   -26.72     0.68)  ; 31
+                                      (   70.53  1083.51   -27.73     0.68)  ; 32
+                                      (   73.71  1082.08   -27.85     0.68)  ; 33
+                                      (   71.21  1080.07   -29.52     0.68)  ; 34
+                                      (   70.53  1079.20   -29.52     0.68)  ; 35
+                                      (   70.30  1082.08   -29.55     0.68)  ; 36
+                                      (   73.26  1079.49   -30.57     0.68)  ; 37
+                                    )  ;  End of markers
+                                     Normal
+                                  )  ;  End of split
+                                )  ;  End of split
+                              )  ;  End of split
+                            )  ;  End of split
+                          |
+                            (   -1.91   466.05   -61.42     2.50)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2
+                            (   -1.91   468.34   -62.90     2.50)  ; 2
+                            (   -1.68   470.64   -64.20     2.27)  ; 3
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+                            (   -5.55   492.77   -62.90     2.27)  ; 12
+                            (   -5.09   495.93   -63.47     2.27)  ; 13
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+                            (   -5.77   502.54   -64.57     2.27)  ; 15
+                            (   -6.68   505.98   -65.15     2.50)  ; 16
+                            (   -6.23   508.57   -65.27     2.50)  ; 17
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+                            (   -5.35   525.83   -67.20     2.27)  ; 24
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+                            (   -4.21   612.09   -74.70     1.82)  ; 53
+                            (   -4.44   613.81   -74.22     2.05)  ; 54
+                            (   -4.44   615.25   -74.25     2.05)  ; 55
+
+                            (FilledCircle
+                              (Color Yellow)
+                              (Name "Marker 11")
+                              (   -3.73   515.47   -64.72     2.27)  ; 1
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+                              (   -5.32   475.24   -60.60     2.27)  ; 37
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+                              (   -2.36   480.41   -60.97     2.27)  ; 41
+                              (   -3.05   483.28   -61.67     2.27)  ; 42
+                              (   -3.05   486.73   -61.25     2.27)  ; 43
+                              (   -3.98   579.27   -69.60     2.27)  ; 44
+                              (   -0.57   578.69   -70.38     2.27)  ; 45
+                              (   -4.21   573.24   -68.82     2.27)  ; 46
+                              (   -0.57   572.09   -71.05     2.27)  ; 47
+                              (   -1.25   570.07   -69.13     2.27)  ; 48
+                              (   -1.48   566.63   -68.78     2.27)  ; 49
+                              (   -4.89   568.93   -68.25     2.27)  ; 50
+                              (   -5.12   567.20   -67.40     2.27)  ; 51
+                              (   -5.57   566.63   -69.22     2.27)  ; 52
+                              (   -6.71   565.19   -66.57     2.27)  ; 53
+                              (   -2.39   564.33   -66.28     2.27)  ; 54
+                              (   -2.62   561.45   -65.80     2.27)  ; 55
+                              (   -0.57   574.10   -68.97     2.27)  ; 56
+                              (   -5.80   560.88   -66.17     2.27)  ; 57
+                              (   -6.25   559.44   -66.90     2.27)  ; 58
+                              (   -6.71   558.29   -67.17     2.27)  ; 59
+                              (   -6.71   553.12   -66.92     2.27)  ; 60
+                              (   -6.48   551.97   -66.28     2.27)  ; 61
+                              (   -2.16   552.84   -66.50     2.27)  ; 62
+                              (   -2.39   555.42   -66.52     2.27)  ; 63
+                              (   -1.94   549.96   -65.45     2.27)  ; 64
+                              (   -2.62   547.09   -66.38     2.27)  ; 65
+                              (   -6.25   549.39   -67.35     2.27)  ; 66
+                              (   -6.48   547.95   -67.35     2.27)  ; 67
+                              (   -8.53   541.05   -66.68     2.27)  ; 68
+                              (   -7.16   541.34   -63.60     2.27)  ; 69
+                              (   -3.98   541.63   -68.13     2.27)  ; 70
+                              (   -4.44   540.19   -66.07     2.27)  ; 71
+                              (   -7.62   538.18   -66.17     2.27)  ; 72
+                              (   -6.48   533.87   -66.90     2.27)  ; 73
+                              (   -3.30   534.16   -68.22     2.27)  ; 74
+                              (   -5.35   528.70   -69.07     2.27)  ; 75
+                              (   -8.98   522.38   -65.30     2.27)  ; 76
+                              (   -9.44   517.21   -65.32     2.27)  ; 77
+                              (   -7.39   524.10   -69.30     2.27)  ; 78
+                              (   -4.21   522.67   -67.57     2.27)  ; 79
+                              (   -3.98   524.10   -65.52     2.27)  ; 80
+                              (   -3.30   524.68   -67.85     2.27)  ; 81
+                              (   -6.25   531.00   -66.68     2.27)  ; 82
+                              (   -3.07   528.12   -65.25     2.27)  ; 83
+                              (   -3.07   530.71   -66.25     2.27)  ; 84
+                              (   -5.57   612.09   -71.80     2.05)  ; 85
+                              (   -6.25   614.10   -71.82     2.05)  ; 86
+                              (   -1.25   611.51   -71.90     2.05)  ; 87
+                              (   -4.89   609.22   -74.25     2.05)  ; 88
+                              (   -1.03   608.93   -74.60     2.05)  ; 89
+                              (   -0.57   606.63   -71.03     2.05)  ; 90
+                              (   -3.98   604.62   -72.55     2.05)  ; 91
+                              (   -3.07   603.47   -71.13     2.05)  ; 92
+                              (   -3.30   599.73   -70.90     2.05)  ; 93
+                              (   -3.30   592.84   -70.95     2.05)  ; 94
+                              (    0.11   584.79   -69.55     2.05)  ; 95
+                              (    0.11   587.09   -69.85     2.05)  ; 96
+                              (   -0.35   582.21   -69.63     2.05)  ; 97
+                              (   -3.75   582.78   -70.03     2.05)  ; 98
+                              (   -3.53   585.37   -71.13     2.05)  ; 99
+                              (   -3.30   587.67   -71.15     2.05)  ; 100
+                              (    0.34   588.81   -70.30     2.05)  ; 101
+                              (    0.34   593.99   -72.70     2.05)  ; 102
+                              (   -0.12   603.47   -73.38     2.05)  ; 103
+                              (   -2.85   596.57   -73.97     2.05)  ; 104
+                              (    0.11   597.72   -71.20     2.05)  ; 105
+                              (   -1.48   613.81   -72.35     2.05)  ; 106
+                            )  ;  End of markers
+                            (
+                              (   -2.85   616.97   -73.42     1.82)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-1
+                              (   -1.48   618.98   -74.47     1.59)  ; 2
+                              (   -0.57   621.57   -75.10     1.59)  ; 3
+                              (    0.56   624.44   -75.95     1.36)  ; 4
+                              (    1.47   626.45   -76.70     1.36)  ; 5
+                              (    2.61   627.89   -77.15     1.36)  ; 6
+                              (    4.20   629.04   -77.25     1.36)  ; 7
+                              (    4.88   631.05   -77.25     1.36)  ; 8
+                              (    6.02   633.93   -77.85     1.36)  ; 9
+                              (    6.70   636.80   -77.82     1.59)  ; 10
+                              (    7.84   639.67   -78.80     1.36)  ; 11
+                              (    8.29   641.68   -77.50     1.36)  ; 12
+                              (    8.29   643.69   -76.45     1.36)  ; 13
+                              (    8.06   645.13   -75.27     1.36)  ; 14
+                              (    8.06   645.99   -74.60     1.36)  ; 15
+                              (    8.52   647.72   -74.22     1.36)  ; 16
+                              (    8.75   648.87   -75.18     1.36)  ; 17
+                              (    9.65   650.88   -76.25     1.36)  ; 18
+                              (   10.56   652.31   -76.40     1.36)  ; 19
+                              (   10.56   653.18   -76.50     1.36)  ; 20
+                              (   10.34   654.61   -76.50     1.36)  ; 21
+                              (   10.79   656.05   -76.55     1.36)  ; 22
+                              (   11.93   658.06   -76.05     1.36)  ; 23
+                              (   11.47   659.50   -76.05     1.36)  ; 24
+                              (   11.93   661.22   -76.05     1.36)  ; 25
+                              (   12.61   663.23   -76.05     1.14)  ; 26
+                              (   13.06   665.24   -76.05     1.14)  ; 27
+                              (   12.84   667.54   -76.75     1.14)  ; 28
+                              (   13.52   668.69   -77.05     1.14)  ; 29
+                              (   13.75   669.84   -77.45     1.14)  ; 30
+                              (   14.65   671.85   -78.00     1.14)  ; 31
+                              (   15.11   673.86   -78.00     1.36)  ; 32
+                              (   14.65   676.16   -77.75     1.36)  ; 33
+                              (   13.97   677.89   -77.75     1.36)  ; 34
+                              (   14.43   679.61   -78.00     1.36)  ; 35
+                              (   14.88   681.62   -78.07     1.36)  ; 36
+                              (   14.43   683.63   -76.90     1.59)  ; 37
+                              (   14.43   685.93   -77.82     1.59)  ; 38
+                              (   15.34   688.23   -77.82     1.36)  ; 39
+                              (   15.79   690.82   -77.82     1.59)  ; 40
+                              (   15.56   692.83   -77.60     1.59)  ; 41
+                              (   15.34   694.55   -77.70     1.59)  ; 42
+                              (   15.79   695.70   -77.70     1.59)  ; 43
+                              (   15.56   697.71   -77.70     1.36)  ; 44
+                              (   15.34   700.30   -77.05     1.36)  ; 45
+                              (   16.02   703.17   -77.07     1.36)  ; 46
+                              (   17.38   705.76   -76.55     1.36)  ; 47
+                              (   17.15   708.92   -76.77     1.14)  ; 48
+                              (   17.84   711.22   -75.50     1.14)  ; 49
+                              (   18.75   713.80   -76.97     1.14)  ; 50
+                              (   18.97   716.96   -76.97     1.14)  ; 51
+                              (   18.52   720.41   -76.97     1.14)  ; 52
+                              (   18.52   723.57   -78.40     1.14)  ; 53
+                              (   19.20   726.16   -78.53     1.36)  ; 54
+                              (   20.34   729.32   -78.70     1.14)  ; 55
+                              (   21.25   732.19   -78.63     1.14)  ; 56
+                              (   22.38   735.07   -78.82     1.14)  ; 57
+                              (   22.38   736.79   -78.82     1.14)  ; 58
+                              (   23.29   738.23   -79.18     1.14)  ; 59
+                              (   23.52   741.39   -79.30     1.14)  ; 60
+                              (   23.75   743.69   -80.10     1.14)  ; 61
+                              (   24.65   745.70   -80.10     1.14)  ; 62
+                              (   25.11   748.15   -80.02     1.36)  ; 63
+                              (   25.34   749.88   -80.52     1.36)  ; 64
+                              (   25.11   751.89   -81.30     1.36)  ; 65
+                              (   25.56   753.90   -81.90     1.36)  ; 66
+                              (   26.25   755.62   -81.98     1.36)  ; 67
+                              (   26.47   756.77   -81.85     1.36)  ; 68
+                              (   26.47   759.07   -81.90     1.36)  ; 69
+                              (   26.70   761.37   -82.10     1.36)  ; 70
+                              (   27.15   762.81   -82.15     1.36)  ; 71
+                              (   27.84   764.53   -82.47     1.36)  ; 72
+                              (   27.84   766.26   -82.63     1.36)  ; 73
+                              (   28.06   767.98   -83.15     1.36)  ; 74
+                              (   29.43   770.28   -82.52     1.36)  ; 75
+                              (   29.88   772.29   -82.55     1.36)  ; 76
+                              (   28.52   774.88   -82.75     1.36)  ; 77
+                              (   28.06   776.60   -83.60     1.36)  ; 78
+                              (   27.84   778.32   -84.67     1.36)  ; 79
+                              (   28.06   781.20   -84.65     1.36)  ; 80
+                              (   28.97   783.50   -83.40     1.36)  ; 81
+                              (   29.43   785.79   -83.42     1.36)  ; 82
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+                              (   29.65   793.26   -83.15     1.36)  ; 85
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+                              (   28.97   806.19   -83.25     1.36)  ; 90
+                              (   28.52   807.92   -84.97     1.36)  ; 91
+                              (   28.75   809.36   -85.15     1.36)  ; 92
+                              (   28.75   810.79   -85.33     1.36)  ; 93
+                              (   28.52   812.52   -85.80     1.36)  ; 94
+                              (   28.75   814.53   -86.03     1.36)  ; 95
+                              (   29.20   816.54   -85.60     1.36)  ; 96
+                              (   30.11   818.84   -85.68     1.36)  ; 97
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+                              (   29.65   827.17   -85.57     1.36)  ; 101
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+                              (   31.02   838.38   -85.68     1.14)  ; 105
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+                              (   31.25   847.28   -85.55     1.36)  ; 108
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+
+                              (FilledCircle
+                                (Color Yellow)
+                                (Name "Marker 11")
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+                                (   14.65   669.84   -79.05     1.36)  ; 50
+                                (   13.06   672.14   -76.72     1.36)  ; 51
+                                (   16.70   673.00   -76.50     1.36)  ; 52
+                                (   15.79   677.02   -77.80     1.36)  ; 53
+                                (   15.79   675.30   -77.82     1.36)  ; 54
+                                (   13.06   676.16   -77.40     1.36)  ; 55
+                                (   13.06   678.46   -77.95     1.36)  ; 56
+                                (   13.75   680.47   -76.80     1.36)  ; 57
+                                (   26.93   745.12   -80.28     1.14)  ; 58
+                                (   25.11   741.10   -80.22     1.14)  ; 59
+                                (   22.84   742.82   -79.00     1.14)  ; 60
+                                (   22.15   740.81   -79.47     1.14)  ; 61
+                                (   25.11   739.95   -77.50     1.14)  ; 62
+                                (   24.88   738.23   -79.80     1.14)  ; 63
+                                (   22.38   739.09   -77.60     1.14)  ; 64
+                                (   22.15   737.36   -77.60     1.14)  ; 65
+                                (   23.97   736.21   -78.35     1.14)  ; 66
+                                (   23.29   733.92   -78.88     1.14)  ; 67
+                                (   21.25   736.21   -79.97     1.14)  ; 68
+                                (   23.29   732.77   -78.30     1.14)  ; 69
+                                (   22.61   731.33   -78.30     1.14)  ; 70
+                                (   22.38   728.74   -78.57     1.14)  ; 71
+                                (   21.93   727.59   -76.55     1.14)  ; 72
+                                (   19.43   728.46   -78.25     1.14)  ; 73
+                                (   19.88   721.85   -78.80     1.14)  ; 74
+                                (   19.88   723.86   -80.35     1.14)  ; 75
+                                (   19.88   725.58   -79.22     1.14)  ; 76
+                                (   28.06   746.27   -80.75     1.14)  ; 77
+                                (   26.93   746.85   -80.77     1.14)  ; 78
+                                (   18.06   719.55   -75.43     1.14)  ; 79
+                                (   20.34   717.83   -77.53     1.14)  ; 80
+                                (   15.79   708.34   -76.92     1.14)  ; 81
+                                (   15.56   707.19   -76.95     1.14)  ; 82
+                                (   18.97   707.48   -76.97     1.14)  ; 83
+                                (   18.06   704.61   -77.10     1.14)  ; 84
+                                (   18.29   706.05   -77.10     1.14)  ; 85
+                                (   18.75   710.64   -77.13     1.14)  ; 86
+                                (   18.29   709.21   -77.13     1.14)  ; 87
+                                (   15.56   707.48   -77.55     1.14)  ; 88
+                                (   15.56   708.63   -77.55     1.14)  ; 89
+                                (   15.79   709.78   -77.55     1.14)  ; 90
+                                (   17.15   702.60   -77.53     1.14)  ; 91
+                                (   17.15   700.30   -77.53     1.14)  ; 92
+                                (   15.11   699.72   -79.78     1.14)  ; 93
+                                (   14.88   702.60   -76.45     1.14)  ; 94
+                                (   14.43   698.29   -75.67     1.14)  ; 95
+                                (   16.47   698.29   -75.70     1.14)  ; 96
+                                (   17.15   695.70   -75.72     1.14)  ; 97
+                                (   16.70   692.83   -77.20     1.14)  ; 98
+                                (   14.65   691.10   -77.17     1.14)  ; 99
+                                (   14.20   689.38   -77.95     1.14)  ; 100
+                                (   17.38   688.81   -78.15     1.14)  ; 101
+                                (   16.70   691.10   -78.70     1.14)  ; 102
+                                (   12.84   685.07   -76.00     1.14)  ; 103
+                                (   32.38   802.46   -84.05     1.36)  ; 104
+                                (   31.93   801.02   -84.10     1.36)  ; 105
+                                (   32.38   797.29   -82.57     1.36)  ; 106
+                                (   28.75   795.85   -83.15     1.36)  ; 107
+                                (   31.70   794.13   -84.48     1.36)  ; 108
+                                (   29.88   799.01   -84.48     1.36)  ; 109
+                                (   28.52   793.26   -82.70     1.36)  ; 110
+                                (   30.56   792.40   -83.95     1.36)  ; 111
+                                (   28.29   791.25   -82.55     1.36)  ; 112
+                                (   30.79   788.67   -83.55     1.36)  ; 113
+                                (   27.61   787.81   -83.65     1.36)  ; 114
+                                (   31.02   786.66   -83.45     1.36)  ; 115
+                                (   31.02   787.23   -84.52     1.36)  ; 116
+                                (   28.75   784.65   -80.55     1.36)  ; 117
+                                (   27.61   786.37   -82.22     1.36)  ; 118
+                                (   29.43   779.47   -84.85     1.36)  ; 119
+                                (   26.93   780.91   -83.15     1.36)  ; 120
+                                (   26.70   777.46   -83.42     1.36)  ; 121
+                                (   29.65   775.74   -82.02     1.36)  ; 122
+                                (   27.38   773.73   -81.32     1.36)  ; 123
+                                (   28.29   772.00   -80.00     1.36)  ; 124
+                                (   27.15   774.88   -82.47     1.36)  ; 125
+                                (   30.11   769.42   -83.30     1.36)  ; 126
+                                (   29.43   768.27   -83.30     1.36)  ; 127
+                                (   26.93   767.12   -80.92     1.36)  ; 128
+                                (   29.43   762.52   -81.93     1.36)  ; 129
+                                (   26.93   768.55   -83.90     1.36)  ; 130
+                                (   26.70   764.24   -82.87     1.36)  ; 131
+                                (   27.84   759.93   -83.13     1.36)  ; 132
+                                (   28.06   762.23   -83.07     1.36)  ; 133
+                                (   24.65   757.64   -80.88     1.36)  ; 134
+                                (   25.79   758.50   -84.55     1.36)  ; 135
+                                (   23.97   753.90   -84.08     1.36)  ; 136
+                                (   26.02   753.04   -81.53     1.36)  ; 137
+                                (   26.25   751.31   -79.92     1.36)  ; 138
+                                (   23.52   751.03   -80.45     1.36)  ; 139
+                                (   26.70   749.30   -80.30     1.36)  ; 140
+                                (   23.97   747.58   -79.57     1.36)  ; 141
+                                (   24.20   748.73   -79.57     1.36)  ; 142
+                                (   29.43   777.75   -84.22     1.36)  ; 143
+                                (   30.79   803.90   -82.25     1.14)  ; 144
+                                (   28.06   804.76   -82.50     1.14)  ; 145
+                                (   27.84   808.21   -83.10     1.14)  ; 146
+                                (   27.15   810.22   -85.45     1.14)  ; 147
+                                (   27.84   809.07   -84.97     1.14)  ; 148
+                                (   26.93   812.52   -84.30     1.14)  ; 149
+                                (   29.43   811.08   -84.10     1.14)  ; 150
+                                (   30.56   812.52   -82.72     1.14)  ; 151
+                                (   30.56   815.10   -82.70     1.14)  ; 152
+                                (   27.38   815.39   -84.78     1.14)  ; 153
+                                (   28.97   817.69   -83.40     1.14)  ; 154
+                                (   31.02   819.41   -83.90     1.14)  ; 155
+                                (   31.70   821.71   -84.12     1.14)  ; 156
+                                (   28.75   825.16   -85.90     1.14)  ; 157
+                                (   29.43   823.15   -84.72     1.14)  ; 158
+                                (   28.97   826.88   -82.78     1.14)  ; 159
+                                (   32.15   831.19   -84.35     1.14)  ; 160
+                                (   28.97   829.47   -84.80     1.14)  ; 161
+                                (   28.97   832.34   -84.10     1.14)  ; 162
+                                (   32.15   834.07   -84.10     1.14)  ; 163
+                                (   32.61   835.21   -84.90     1.14)  ; 164
+                                (   33.06   836.65   -85.42     1.14)  ; 165
+                                (   28.97   842.40   -84.63     1.14)  ; 166
+                                (   26.25   841.82   -85.47     1.14)  ; 167
+                                (   31.47   841.82   -84.60     1.14)  ; 168
+                                (   29.43   843.55   -84.30     1.14)  ; 169
+                                (   29.65   844.98   -83.95     1.14)  ; 170
+                                (   30.11   847.57   -85.97     1.14)  ; 171
+                                (   30.56   848.72   -85.97     1.14)  ; 172
+                                (   32.61   849.01   -86.77     1.14)  ; 173
+                                (   33.29   850.44   -84.78     1.14)  ; 174
+                                (   33.75   851.88   -85.33     1.14)  ; 175
+                                (   34.88   853.32   -86.75     1.14)  ; 176
+                                (   31.02   854.47   -85.68     1.14)  ; 177
+                                (   34.65   855.90   -85.25     1.14)  ; 178
+                                (   31.47   857.05   -85.05     1.14)  ; 179
+                                (   31.70   855.90   -85.02     1.14)  ; 180
+                                (   33.75   859.06   -84.63     1.14)  ; 181
+                                (   31.02   863.09   -84.92     1.14)  ; 182
+                                (   33.29   861.65   -84.97     1.14)  ; 183
+                                (   33.75   863.95   -85.00     1.14)  ; 184
+                                (   31.02   864.81   -85.00     1.14)  ; 185
+                                (   31.25   867.11   -85.68     1.14)  ; 186
+                                (   31.70   868.83   -85.68     1.14)  ; 187
+                                (   33.75   868.55   -85.95     1.14)  ; 188
+                                (   34.20   869.98   -86.05     1.14)  ; 189
+                                (   31.02   870.56   -85.50     1.14)  ; 190
+                                (   33.75   877.16   -85.73     1.14)  ; 191
+                                (   30.34   874.87   -86.60     1.14)  ; 192
+                                (   43.52   939.36   -88.30     1.14)  ; 193
+                                (   41.93   937.92   -90.50     1.14)  ; 194
+                                (   45.34   936.77   -89.25     1.14)  ; 195
+                                (   43.06   933.61   -88.72     1.14)  ; 196
+                                (   41.70   935.91   -89.45     1.14)  ; 197
+                                (   38.52   929.30   -87.85     1.14)  ; 198
+                                (   37.38   930.74   -89.80     1.14)  ; 199
+                                (   35.56   927.29   -88.38     1.14)  ; 200
+                                (   34.43   922.12   -89.57     1.14)  ; 201
+                                (   35.79   920.97   -86.98     1.14)  ; 202
+                                (   35.34   919.24   -87.60     1.14)  ; 203
+                                (   34.65   914.93   -88.18     1.14)  ; 204
+                                (   31.47   914.93   -88.18     1.14)  ; 205
+                                (   32.15   916.66   -88.63     1.14)  ; 206
+                                (   32.61   918.09   -88.88     1.14)  ; 207
+                                (   33.06   881.03   -86.17     1.14)  ; 208
+                                (   33.06   879.30   -86.17     1.14)  ; 209
+                                (   30.34   882.46   -87.28     1.14)  ; 210
+                                (   30.11   883.90   -86.88     1.14)  ; 211
+                                (   29.65   887.35   -86.20     1.14)  ; 212
+                                (   30.79   886.49   -85.20     1.14)  ; 213
+                                (   32.84   885.91   -86.77     1.14)  ; 214
+                                (   33.06   889.65   -87.65     1.14)  ; 215
+                                (   34.65   894.53   -86.65     1.14)  ; 216
+                                (   33.97   900.28   -88.40     1.14)  ; 217
+                                (   31.47   899.70   -88.42     1.14)  ; 218
+                                (   33.97   897.69   -87.35     1.14)  ; 219
+                                (   31.47   903.44   -90.07     1.14)  ; 220
+                                (   34.88   903.15   -86.72     1.14)  ; 221
+                                (   34.20   905.45   -86.77     1.14)  ; 222
+                                (   31.47   906.60   -88.35     1.14)  ; 223
+                                (   31.25   905.45   -88.35     1.14)  ; 224
+                                (   30.34   908.61   -89.10     1.14)  ; 225
+                                (   33.29   908.61   -87.25     1.14)  ; 226
+                                (   32.84   910.62   -87.30     1.14)  ; 227
+                                (   29.88   911.20   -87.95     1.14)  ; 228
+                                (   30.56   912.63   -87.65     1.14)  ; 229
+                                (   29.65   914.36   -87.68     1.14)  ; 230
+                                (   33.97   912.92   -87.07     1.14)  ; 231
+                                (   58.63   972.40   -89.25     1.14)  ; 232
+                                (   57.04   971.25   -88.67     1.14)  ; 233
+                                (   60.68   970.39   -89.38     1.14)  ; 234
+                                (   61.81   972.11   -89.43     1.14)  ; 235
+                                (   60.00   974.12   -90.30     1.14)  ; 236
+                                (   55.45   964.93   -91.15     1.14)  ; 237
+                                (   56.81   961.19   -88.18     1.14)  ; 238
+                                (   52.95   961.19   -92.38     1.14)  ; 239
+                                (   55.22   958.32   -91.67     1.14)  ; 240
+                                (   54.54   957.17   -91.70     1.14)  ; 241
+                                (   51.59   957.74   -91.20     1.14)  ; 242
+                                (   54.09   956.02   -92.42     1.14)  ; 243
+                                (   49.31   952.86   -90.15     1.14)  ; 244
+                                (   51.81   952.29   -89.80     1.14)  ; 245
+                                (   50.00   947.98   -92.25     1.14)  ; 246
+                                (   48.40   950.56   -91.82     1.14)  ; 247
+                                (   45.90   946.54   -90.42     1.14)  ; 248
+                                (   45.68   943.95   -90.92     1.14)  ; 249
+                                (   48.40   943.38   -90.97     1.14)  ; 250
+                                (   47.04   941.65   -92.22     1.14)  ; 251
+                                (   46.59   940.22   -92.22     1.14)  ; 252
+                                (   72.27   993.66   -88.50     1.14)  ; 253
+                                (   70.22   992.51   -88.80     1.14)  ; 254
+                                (   73.18   990.50   -85.73     1.14)  ; 255
+                                (   74.31   992.22   -86.75     1.14)  ; 256
+                                (   69.77   990.79   -86.80     1.14)  ; 257
+                                (   71.59   987.34   -86.80     1.14)  ; 258
+                                (   69.54   984.47   -86.62     1.14)  ; 259
+                                (   65.90   985.04   -86.90     1.14)  ; 260
+                                (   65.00   983.32   -88.20     1.14)  ; 261
+                                (   62.50   982.17   -86.60     1.14)  ; 262
+                                (   68.18   982.74   -87.05     1.14)  ; 263
+                                (   68.63   982.45   -89.85     1.14)  ; 264
+                                (   68.18   981.02   -89.85     1.14)  ; 265
+                                (   67.04   980.73   -89.22     1.14)  ; 266
+                                (   62.72   974.12   -87.80     1.14)  ; 267
+                                (   61.81   976.42   -87.83     1.14)  ; 268
+                                (   70.00   986.48   -88.07     1.14)  ; 269
+                              )  ;  End of markers
+                              (
+                                (   74.42   996.98   -87.60     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-1-1
+                                (   74.42   998.99   -86.15     0.91)  ; 2
+                                (   74.88  1000.72   -85.25     0.91)  ; 3
+                                (   74.20  1002.73   -84.82     0.91)  ; 4
+                                (   73.97  1005.60   -84.40     0.91)  ; 5
+                                (   73.97  1007.04   -84.25     0.91)  ; 6
+                                (   74.42  1008.19   -84.25     0.91)  ; 7
+                                (   74.88  1009.05   -84.25     0.91)  ; 8
+                                (   75.10  1010.20   -83.90     0.91)  ; 9
+                                (   75.10  1011.06   -83.88     0.91)  ; 10
+                                (   74.88  1011.92   -83.63     0.91)  ; 11
+                                (   74.65  1013.07   -83.55     0.91)  ; 12
+                                (   74.88  1014.79   -83.40     0.68)  ; 13
+                                (   75.56  1016.52   -83.35     0.68)  ; 14
+                                (   76.24  1018.24   -82.75     0.91)  ; 15
+                                (   76.01  1019.39   -82.42     0.91)  ; 16
+                                (   75.79  1020.25   -82.05     0.91)  ; 17
+                                (   75.10  1021.69   -82.05     0.91)  ; 18
+                                (   74.88  1022.27   -81.82     0.91)  ; 19
+                                (   74.88  1023.41   -81.82     0.91)  ; 20
+                                (   74.65  1024.85   -81.47     0.91)  ; 21
+                                (   74.20  1026.29   -80.95     0.91)  ; 22
+                                (   73.97  1027.72   -80.97     0.91)  ; 23
+                                (   73.51  1029.74   -80.97     0.68)  ; 24
+                                (   72.83  1032.03   -81.05     0.68)  ; 25
+                                (   73.74  1033.76   -80.80     0.91)  ; 26
+                                (   75.33  1034.62   -80.02     0.68)  ; 27
+                                (   75.56  1036.06   -79.27     0.91)  ; 28
+                                (   76.24  1038.64   -78.78     0.68)  ; 29
+                                (   76.24  1040.08   -79.25     0.68)  ; 30
+                                (   76.69  1041.23   -79.27     0.68)  ; 31
+                                (   76.69  1042.38   -79.27     0.91)  ; 32
+                                (   76.01  1043.24   -79.27     0.91)  ; 33
+                                (   75.33  1044.10   -78.13     0.68)  ; 34
+                                (   75.33  1045.25   -77.55     0.91)  ; 35
+                                (   75.10  1045.83   -77.60     1.36)  ; 36
+                                (   73.96  1046.69   -77.60     1.36)  ; 37
+                                (   73.05  1048.70   -78.38     0.91)  ; 38
+                                (   73.51  1050.71   -78.07     0.91)  ; 39
+                                (   75.10  1053.01   -77.50     0.68)  ; 40
+                                (   76.24  1054.45   -77.00     0.68)  ; 41
+                                (   76.69  1056.46   -76.70     0.91)  ; 42
+                                (   76.46  1057.61   -76.57     0.91)  ; 43
+                                (   77.37  1059.33   -75.10     0.91)  ; 44
+                                (   77.83  1061.05   -74.42     0.68)  ; 45
+                                (   77.60  1063.07   -73.93     0.68)  ; 46
+                                (   77.83  1063.64   -73.45     0.68)  ; 47
+                                (   78.74  1064.79   -72.80     0.91)  ; 48
+                                (   80.10  1065.65   -71.72     0.91)  ; 49
+                                (   81.92  1065.94   -70.95     0.68)  ; 50
+                                (   81.92  1066.51   -70.05     0.68)  ; 51
+                                (   82.15  1067.38   -69.53     0.91)  ; 52
+                                (   82.15  1067.95   -69.10     0.91)  ; 53
+                                (   82.15  1068.81   -69.00     0.91)  ; 54
+                                (   83.28  1069.96   -68.45     0.91)  ; 55
+                                (   83.74  1071.11   -68.00     0.91)  ; 56
+                                (   83.96  1073.12   -66.90     0.91)  ; 57
+                                (   85.33  1074.27   -65.88     0.91)  ; 58
+                                (   86.24  1075.42   -65.38     0.91)  ; 59
+                                (   85.78  1076.86   -65.32     0.68)  ; 60
+                                (   85.78  1077.72   -64.80     0.68)  ; 61
+                                (   86.46  1078.01   -64.57     0.68)  ; 62
+                                (   86.46  1078.87   -64.53     0.68)  ; 63
+                                (   86.46  1079.73   -63.40     0.91)  ; 64
+                                (   85.55  1080.02   -62.37     0.91)  ; 65
+                                (   84.65  1080.31   -61.57     0.91)  ; 66
+                                (   85.10  1080.59   -61.00     0.91)  ; 67
+                                (   85.78  1080.88   -60.47     0.91)  ; 68
+                                (   86.24  1081.74   -59.78     0.91)  ; 69
+                                (   87.54  1082.65   -60.13     0.91)  ; 70
+                                (   87.99  1083.23   -58.70     1.14)  ; 71
+                                (   88.22  1083.80   -57.63     1.36)  ; 72
+                                (   88.45  1084.67   -57.15     1.59)  ; 73
+                                (   88.90  1086.10   -57.10     1.14)  ; 74
+                                (   89.35  1088.11   -56.12     1.14)  ; 75
+                                (   89.58  1088.69   -55.47     1.14)  ; 76
+                                (   90.26  1090.70   -55.25     1.14)  ; 77
+                                (   91.40  1091.56   -54.20     1.14)  ; 78
+                                (   92.99  1091.56   -53.35     1.14)  ; 79
+                                (   93.90  1092.71   -52.63     0.68)  ; 80
+                                (   95.04  1094.15   -51.88     0.68)  ; 81
+                                (   95.26  1095.30   -51.25     0.68)  ; 82
+                                (   95.04  1096.16   -51.25     0.68)  ; 83
+                                (   95.04  1097.02   -50.88     0.68)  ; 84
+                                (   95.72  1097.60   -51.32     0.68)  ; 85
+                                (   97.31  1098.17   -51.32     0.68)  ; 86
+                                (   97.76  1099.61   -50.80     0.68)  ; 87
+                                (   97.54  1100.18   -50.00     0.68)  ; 88
+                                (   98.45  1100.76   -49.05     0.68)  ; 89
+                                (   98.90  1102.19   -48.35     1.14)  ; 90
+                                (   98.90  1103.92   -47.40     0.91)  ; 91
+                                (   97.76  1105.35   -46.47     0.68)  ; 92
+                                (   97.99  1106.21   -45.55     0.68)  ; 93
+                                (   98.45  1107.36   -44.67     0.68)  ; 94
+                                (   98.22  1107.65   -43.75     0.68)  ; 95
+                                (   96.85  1108.51   -43.30     0.68)  ; 96
+                                (   96.85  1109.38   -42.72     0.68)  ; 97
+                                (   97.31  1109.95   -41.32     0.68)  ; 98
+                                (   96.40  1109.95   -40.88     0.68)  ; 99
+                                (   95.95  1110.24   -40.48     0.68)  ; 100
+                                (   95.95  1111.67   -40.10     0.68)  ; 101
+                                (   96.17  1112.54   -40.15     0.68)  ; 102
+                                (   96.17  1114.26   -40.15     0.68)  ; 103
+                                (   94.58  1116.27   -40.15     0.68)  ; 104
+                                (   95.04  1117.42   -39.78     0.68)  ; 105
+                                (   95.04  1118.28   -39.82     0.68)  ; 106
+                                (   96.63  1120.58   -39.82     0.45)  ; 107
+                                (   97.31  1122.02   -39.00     0.45)  ; 108
+                                (   97.31  1124.03   -39.05     0.45)  ; 109
+
+                                (FilledCircle
+                                  (Color Yellow)
+                                  (Name "Marker 11")
+                                  (   74.42  1039.50   -80.05     0.68)  ; 1
+                                  (   76.70  1038.07   -77.47     0.68)  ; 2
+                                  (   76.70  1036.63   -79.72     0.68)  ; 3
+                                  (   76.92  1037.78   -80.95     0.68)  ; 4
+                                  (   73.97  1034.33   -79.47     0.68)  ; 5
+                                  (   72.60  1032.90   -82.20     0.68)  ; 6
+                                  (   75.10  1028.59   -81.43     0.68)  ; 7
+                                  (   72.83  1028.59   -81.80     0.68)  ; 8
+                                  (   72.15  1029.16   -81.40     0.68)  ; 9
+                                  (   75.10  1026.86   -82.15     0.68)  ; 10
+                                  (   75.10  1024.28   -80.33     0.68)  ; 11
+                                  (   75.56  1023.41   -83.05     0.68)  ; 12
+                                  (   76.01  1021.69   -80.65     0.68)  ; 13
+                                  (   75.10  1017.38   -80.55     0.68)  ; 14
+                                  (   76.24  1019.97   -83.47     0.68)  ; 15
+                                  (   75.79  1015.08   -83.72     0.68)  ; 16
+                                  (   75.33  1014.22   -84.67     0.68)  ; 17
+                                  (   73.97  1013.36   -84.50     0.68)  ; 18
+                                  (   76.01  1011.35   -81.77     0.68)  ; 19
+                                  (   74.65  1010.77   -84.10     0.68)  ; 20
+                                  (   74.20  1009.62   -85.00     0.68)  ; 21
+                                  (   73.51  1008.19   -85.22     0.68)  ; 22
+                                  (   73.06  1007.32   -87.10     0.68)  ; 23
+                                  (   75.79  1008.19   -83.82     0.68)  ; 24
+                                  (   74.88  1007.90   -83.82     0.68)  ; 25
+                                  (   73.97   998.99   -84.15     0.68)  ; 26
+                                  (   75.56   999.57   -85.70     0.68)  ; 27
+                                  (   75.33  1000.43   -83.13     0.68)  ; 28
+                                  (   73.29  1002.44   -83.95     0.68)  ; 29
+                                  (   72.83   997.27   -86.90     0.68)  ; 30
+                                  (   75.33   997.55   -88.07     0.68)  ; 31
+                                  (   87.83  1079.73   -64.27     0.91)  ; 32
+                                  (   84.65  1078.29   -65.78     0.91)  ; 33
+                                  (   85.33  1076.28   -66.77     0.91)  ; 34
+                                  (   87.60  1077.14   -64.80     0.91)  ; 35
+                                  (   87.60  1076.57   -65.22     0.91)  ; 36
+                                  (   85.33  1075.13   -66.00     0.91)  ; 37
+                                  (   82.37  1070.54   -69.27     0.91)  ; 38
+                                  (   80.78  1069.96   -71.05     0.91)  ; 39
+                                  (   81.01  1068.53   -70.90     0.91)  ; 40
+                                  (   82.37  1065.65   -72.77     0.91)  ; 41
+                                  (   81.24  1063.93   -70.80     0.91)  ; 42
+                                  (   80.10  1063.35   -73.47     0.91)  ; 43
+                                  (   77.37  1061.92   -76.68     0.91)  ; 44
+                                  (   79.87  1061.05   -75.15     0.91)  ; 45
+                                  (   79.19  1059.91   -75.22     0.91)  ; 46
+                                  (   77.83  1058.47   -77.88     0.91)  ; 47
+                                  (   75.33  1057.89   -77.93     0.91)  ; 48
+                                  (   78.74  1055.60   -77.38     0.91)  ; 49
+                                  (   75.55  1054.16   -80.33     0.91)  ; 50
+                                  (   73.28  1050.42   -80.90     0.91)  ; 51
+                                  (   72.83  1048.41   -80.90     0.91)  ; 52
+                                  (   76.46  1045.25   -77.20     0.91)  ; 53
+                                  (   74.19  1043.81   -77.53     0.91)  ; 54
+                                  (   77.37  1044.10   -77.60     0.91)  ; 55
+                                  (   77.83  1042.67   -80.95     0.91)  ; 56
+                                  (   78.51  1041.23   -78.42     0.91)  ; 57
+                                  (   96.63  1122.59   -39.05     0.45)  ; 58
+                                  (   96.85  1118.00   -39.30     0.45)  ; 59
+                                  (   93.90  1116.85   -41.40     0.45)  ; 60
+                                  (   96.63  1120.58   -41.15     0.45)  ; 61
+                                  (   95.95  1115.98   -39.72     0.45)  ; 62
+                                  (   93.90  1114.55   -41.32     0.45)  ; 63
+                                  (   94.81  1107.08   -44.02     0.45)  ; 64
+                                  (  100.26  1109.38   -41.70     0.45)  ; 65
+                                  (   97.76  1111.67   -41.70     0.45)  ; 66
+                                  (   94.81  1113.97   -41.82     0.45)  ; 67
+                                  (   99.58  1110.52   -41.97     0.45)  ; 68
+                                  (   95.72  1109.09   -46.40     0.45)  ; 69
+                                  (   96.63  1106.50   -48.13     0.45)  ; 70
+                                  (   96.17  1104.78   -47.63     0.45)  ; 71
+                                  (   99.13  1108.23   -43.07     0.45)  ; 72
+                                  (   99.13  1107.36   -45.32     0.45)  ; 73
+                                  (   97.31  1102.48   -50.97     0.45)  ; 74
+                                  (   96.17  1100.76   -50.95     0.45)  ; 75
+                                  (  100.26  1098.46   -50.57     0.45)  ; 76
+                                  (   96.17  1098.46   -51.32     0.45)  ; 77
+                                  (   94.13  1097.31   -51.03     0.45)  ; 78
+                                  (   91.85  1095.58   -53.22     0.45)  ; 79
+                                  (   95.72  1092.42   -54.90     0.45)  ; 80
+                                  (   92.54  1093.00   -54.95     0.45)  ; 81
+                                  (   94.35  1094.43   -51.55     0.45)  ; 82
+                                  (   93.45  1094.15   -52.92     0.45)  ; 83
+                                  (   99.81  1103.05   -48.70     0.45)  ; 84
+                                  (   99.58  1101.04   -48.70     0.45)  ; 85
+                                  (   93.22  1090.41   -53.82     0.45)  ; 86
+                                  (   84.81  1082.08   -62.55     0.45)  ; 87
+                                  (   88.45  1082.65   -58.95     0.45)  ; 88
+                                  (   89.81  1082.08   -59.40     0.45)  ; 89
+                                  (   90.26  1085.24   -55.80     0.45)  ; 90
+                                  (   88.45  1087.25   -55.83     0.45)  ; 91
+                                  (   88.90  1089.84   -55.90     0.45)  ; 92
+                                  (   89.35  1088.69   -55.95     0.45)  ; 93
+                                )  ;  End of markers
+                                 Normal
+                              |
+                                (   75.68   996.25   -86.93     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-1-2
+                                (   76.81   997.68   -87.90     1.14)  ; 2
+                                (   77.72   998.83   -87.90     1.14)  ; 3
+                                (   78.40  1000.84   -87.90     1.14)  ; 4
+                                (   78.86  1002.28   -88.50     1.14)  ; 5
+                                (   79.54  1003.72   -88.53     1.14)  ; 6
+                                (   81.13  1006.02   -88.55     1.36)  ; 7
+                                (   82.27  1007.74   -88.57     1.36)  ; 8
+                                (   82.95  1009.75   -88.57     1.36)  ; 9
+                                (   83.40  1011.76   -87.60     1.36)  ; 10
+                                (   84.31  1014.06   -86.98     1.14)  ; 11
+                                (   85.00  1016.65   -86.98     1.14)  ; 12
+                                (   85.45  1018.95   -86.98     1.14)  ; 13
+                                (   87.04  1021.24   -87.45     1.14)  ; 14
+                                (   88.40  1023.54   -88.13     1.14)  ; 15
+                                (   89.54  1025.84   -88.13     1.14)  ; 16
+                                (   90.90  1028.14   -88.42     1.14)  ; 17
+                                (   91.59  1029.86   -88.45     1.14)  ; 18
+                                (   92.72  1031.88   -87.35     1.36)  ; 19
+                                (   93.40  1033.31   -86.58     1.14)  ; 20
+                                (   95.45  1034.75   -86.75     1.14)  ; 21
+                                (   96.11  1036.22   -87.20     1.14)  ; 22
+                                (   96.56  1039.09   -87.20     1.36)  ; 23
+                                (   97.25  1041.68   -87.95     1.36)  ; 24
+                                (   98.15  1044.26   -88.80     1.36)  ; 25
+                                (   99.29  1046.27   -89.75     1.36)  ; 26
+                                (   99.75  1047.42   -89.75     1.36)  ; 27
+                                (   99.52  1048.86   -89.75     1.36)  ; 28
+                                (   98.84  1050.30   -89.75     1.36)  ; 29
+                                (   98.72  1052.08   -89.88     1.36)  ; 30
+                                (   98.72  1053.81   -89.88     1.36)  ; 31
+                                (   98.50  1055.24   -89.92     1.36)  ; 32
+                                (   97.81  1056.39   -90.15     1.36)  ; 33
+                                (   96.68  1058.69   -90.30     1.36)  ; 34
+                                (   96.90  1060.99   -90.52     1.36)  ; 35
+                                (   96.00  1062.72   -90.68     1.36)  ; 36
+                                (   95.31  1064.15   -90.10     1.59)  ; 37
+                                (   94.86  1065.59   -90.10     2.05)  ; 38
+                                (   95.31  1066.74   -90.10     2.05)  ; 39
+                                (   96.00  1068.46   -90.10     1.59)  ; 40
+                                (   96.22  1070.47   -90.10     1.36)  ; 41
+                                (   95.54  1073.06   -90.45     1.36)  ; 42
+                                (   96.00  1075.65   -91.13     1.36)  ; 43
+                                (   97.13  1077.37   -91.13     1.59)  ; 44
+                                (   99.40  1079.38   -89.90     1.36)  ; 45
+                                (   99.86  1080.24   -89.90     1.59)  ; 46
+                                (  100.09  1081.39   -89.90     1.82)  ; 47
+                                (  100.31  1082.25   -89.90     2.50)  ; 48
+                                (   99.40  1083.12   -90.02     0.68)  ; 49
+                                (   97.81  1083.69   -90.00     0.68)  ; 50
+                                (   97.59  1084.27   -90.15     0.91)  ; 51
+                                (   97.13  1085.70   -90.92     1.14)  ; 52
+                                (   96.22  1087.14   -91.95     1.14)  ; 53
+                                (   96.00  1088.29   -91.98     1.14)  ; 54
+                                (   95.31  1089.15   -92.00     0.91)  ; 55
+                                (   94.86  1089.44   -93.05     0.91)  ; 56
+                                (   94.18  1089.44   -94.03     0.91)  ; 57
+                                (   93.27  1089.44   -94.75     0.91)  ; 58
+                                (   92.81  1089.44   -95.02     0.91)  ; 59
+                                (   92.36  1090.01   -95.73     0.91)  ; 60
+                                (   91.90  1090.87   -95.70     1.14)  ; 61
+                                (   91.90  1091.74   -96.27     1.14)  ; 62
+                                (   91.45  1092.31   -97.30     1.14)  ; 63
+                                (   90.77  1093.17   -98.47     1.14)  ; 64
+                                (   90.31  1093.17   -98.67     1.14)  ; 65
+                                (   90.09  1094.03   -99.40     1.14)  ; 66
+                                (   90.31  1095.47   -99.55     1.59)  ; 67
+                                (   89.86  1096.62   -99.55     1.59)  ; 68
+                                (   88.72  1098.92  -100.30     1.36)  ; 69
+
+                                (FilledCircle
+                                  (Color Yellow)
+                                  (Name "Marker 11")
+                                  (   91.81  1034.46   -86.50     1.14)  ; 1
+                                  (   97.72  1031.30   -84.00     1.14)  ; 2
+                                  (   96.13  1031.30   -85.25     1.14)  ; 3
+                                  (   93.63  1031.01   -88.75     1.14)  ; 4
+                                  (   90.22  1029.86   -87.75     1.14)  ; 5
+                                  (   89.77  1029.00   -88.63     1.14)  ; 6
+                                  (   89.09  1027.57   -88.20     1.14)  ; 7
+                                  (   93.40  1028.43   -88.07     1.14)  ; 8
+                                  (   91.13  1026.99   -89.65     1.14)  ; 9
+                                  (   87.27  1025.27   -87.28     1.14)  ; 10
+                                  (   90.68  1025.55   -89.60     1.14)  ; 11
+                                  (   90.68  1024.40   -87.52     1.14)  ; 12
+                                  (   88.40  1021.82   -90.50     1.14)  ; 13
+                                  (   86.81  1023.26   -87.28     1.14)  ; 14
+                                  (   85.00  1022.39   -85.40     1.14)  ; 15
+                                  (   82.95  1018.66   -90.37     1.14)  ; 16
+                                  (   84.09  1017.22   -86.93     1.14)  ; 17
+                                  (   86.36  1016.65   -89.27     1.14)  ; 18
+                                  (   86.36  1014.35   -85.75     1.14)  ; 19
+                                  (   85.00  1014.92   -85.75     1.14)  ; 20
+                                  (   85.68  1015.21   -87.72     1.14)  ; 21
+                                  (   84.77  1012.91   -88.80     1.14)  ; 22
+                                  (   82.72  1013.49   -86.67     1.14)  ; 23
+                                  (   82.27  1010.33   -85.20     1.14)  ; 24
+                                  (   83.18  1004.87   -88.07     1.14)  ; 25
+                                  (   79.31  1005.73   -88.82     1.14)  ; 26
+                                  (   83.40  1007.74   -88.42     1.14)  ; 27
+                                  (   81.81  1004.00   -87.60     1.14)  ; 28
+                                  (   80.90  1003.14   -87.32     1.14)  ; 29
+                                  (   81.59  1002.86   -88.77     1.14)  ; 30
+                                  (   77.50  1004.87   -88.23     1.14)  ; 31
+                                  (   78.63  1004.29   -87.07     1.14)  ; 32
+                                  (   76.13   998.55   -87.02     1.14)  ; 33
+                                  (   79.31  1000.27   -87.25     1.14)  ; 34
+                                  (   82.04   999.98   -87.15     1.14)  ; 35
+                                  (   78.63   997.68   -88.88     1.14)  ; 36
+                                  (   76.36   995.38   -88.32     1.14)  ; 37
+                                  (   79.09   998.83   -87.30     1.14)  ; 38
+                                  (   96.00  1034.56   -85.07     2.50)  ; 39
+                                  (   96.90  1036.28   -87.45     2.50)  ; 40
+                                  (   94.86  1040.02   -88.82     2.50)  ; 41
+                                  (   94.86  1041.74   -87.22     2.50)  ; 42
+                                  (   96.00  1039.44   -85.95     2.50)  ; 43
+                                  (   98.27  1038.87   -85.75     2.50)  ; 44
+                                  (   99.40  1044.04   -87.75     2.50)  ; 45
+                                  (   97.36  1046.91   -90.25     2.50)  ; 46
+                                  (  100.31  1046.91   -87.90     2.50)  ; 47
+                                  (  100.54  1051.22   -89.03     2.50)  ; 48
+                                  (   98.04  1049.21   -87.05     2.50)  ; 49
+                                  (   99.86  1050.07   -87.97     2.50)  ; 50
+                                  (   97.36  1050.36   -89.80     2.50)  ; 51
+                                  (   97.59  1052.66   -90.33     2.50)  ; 52
+                                  (   97.13  1055.53   -88.25     2.50)  ; 53
+                                  (   97.81  1054.10   -90.28     2.50)  ; 54
+                                  (   96.45  1057.54   -89.75     2.50)  ; 55
+                                  (   99.18  1056.97   -89.00     2.50)  ; 56
+                                  (   99.18  1058.12   -89.65     2.50)  ; 57
+                                  (   98.50  1058.98   -90.57     2.50)  ; 58
+                                  (   95.54  1060.42   -88.18     2.50)  ; 59
+                                  (   98.27  1062.14   -88.23     2.50)  ; 60
+                                  (   95.31  1061.85   -90.33     2.50)  ; 61
+                                  (   98.50  1061.28   -89.12     2.50)  ; 62
+                                  (   98.72  1060.13   -89.12     2.50)  ; 63
+                                  (   96.90  1064.15   -88.27     2.50)  ; 64
+                                  (   96.45  1064.73   -88.27     2.50)  ; 65
+                                  (   93.50  1065.30   -88.75     2.50)  ; 66
+                                  (   98.27  1066.45   -89.03     2.50)  ; 67
+                                  (   97.36  1067.89   -89.05     2.50)  ; 68
+                                  (   95.09  1069.61   -88.88     2.50)  ; 69
+                                  (   95.31  1071.34   -88.93     2.50)  ; 70
+                                  (   98.04  1071.34   -89.48     2.50)  ; 71
+                                  (   93.95  1073.35   -89.40     2.50)  ; 72
+                                  (   94.18  1075.07   -90.65     2.50)  ; 73
+                                  (   97.13  1072.20   -86.22     2.50)  ; 74
+                                  (   97.59  1073.35   -88.40     2.50)  ; 75
+                                  (   97.81  1075.65   -90.52     2.50)  ; 76
+                                  (   96.00  1077.94   -90.13     2.50)  ; 77
+                                  (   99.63  1077.66   -89.72     2.50)  ; 78
+                                  (   98.72  1081.97   -87.92     2.50)  ; 79
+                                  (   91.45  1096.33  -100.55     1.36)  ; 80
+                                  (   89.40  1096.05  -100.20     1.36)  ; 81
+                                  (   88.72  1095.18   -98.50     1.36)  ; 82
+                                  (   88.04  1094.03   -98.90     1.36)  ; 83
+                                  (   93.50  1092.31   -96.53     1.36)  ; 84
+                                  (   92.36  1094.03   -98.27     1.36)  ; 85
+                                  (   90.77  1090.01   -93.75     1.36)  ; 86
+                                  (   90.31  1091.16   -93.75     1.36)  ; 87
+                                  (   91.45  1090.01   -91.82     1.36)  ; 88
+                                  (   93.72  1090.87   -91.38     1.36)  ; 89
+                                  (   92.36  1088.86   -92.30     1.36)  ; 90
+                                  (   95.77  1089.72   -90.50     1.36)  ; 91
+                                  (   96.45  1089.15   -91.40     1.36)  ; 92
+                                  (   94.86  1088.29   -89.85     1.36)  ; 93
+                                  (   95.09  1086.85   -91.05     1.36)  ; 94
+                                  (   98.50  1085.13   -86.88     1.36)  ; 95
+                                  (   96.90  1083.98   -87.65     1.36)  ; 96
+                                  (   98.95  1081.68   -87.28     1.36)  ; 97
+                                )  ;  End of markers
+                                (
+                                  (   87.13  1099.78  -100.42     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-1-2-1
+                                  (   87.13  1101.22  -100.37     0.91)  ; 2
+                                  (   87.36  1102.65  -100.75     0.91)  ; 3
+                                  (   86.90  1103.23  -100.75     0.91)  ; 4
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+                                  (   84.86  1106.68  -102.85     0.91)  ; 8
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+                                  (   83.04  1107.54  -104.00     0.91)  ; 10
+                                  (   82.59  1108.11  -104.27     0.91)  ; 11
+                                  (   82.36  1108.98  -104.75     0.91)  ; 12
+                                  (   82.36  1110.99  -104.80     0.91)  ; 13
+                                  (   82.36  1112.42  -104.80     1.14)  ; 14
+                                  (   81.68  1112.71  -105.00     1.14)  ; 15
+                                  (   80.54  1113.29  -105.13     1.14)  ; 16
+                                  (   79.86  1114.15  -105.42     1.14)  ; 17
+                                  (   79.63  1115.58  -105.82     0.91)  ; 18
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+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
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+                                    (   85.09  1103.23  -101.50     0.91)  ; 22
+                                  )  ;  End of markers
+                                   Normal
+                                |
+                                  (   88.95  1101.50  -100.57     0.68)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-1-2-2
+                                  (   89.63  1102.65  -100.37     0.68)  ; 2
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+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
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+                                    (   90.31  1099.78   -99.95     0.68)  ; 20
+                                  )  ;  End of markers
+                                   Normal
+                                )  ;  End of split
+                              )  ;  End of split
+                            |
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+
+                              (FilledCircle
+                                (Color Yellow)
+                                (Name "Marker 11")
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+                                (  -45.25   948.60  -102.63     1.82)  ; 300
+                                (  -43.20   949.17  -107.80     1.82)  ; 301
+                                (  -45.02   949.75  -104.80     1.82)  ; 302
+                                (  -48.20   947.16  -104.45     1.82)  ; 303
+                                (  -43.89   947.74  -102.55     1.82)  ; 304
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+                                (  -50.48   944.86  -102.30     1.82)  ; 306
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+                                (  -49.80   942.56  -102.65     1.82)  ; 308
+                                (  -43.89   943.71  -102.82     1.82)  ; 309
+                                (  -43.43   941.99  -102.00     1.82)  ; 310
+                                (  -47.98   941.42  -103.47     1.82)  ; 311
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+                                (  -41.84   938.83  -103.00     1.82)  ; 314
+                                (  -42.07   933.94  -100.55     1.82)  ; 315
+                                (  -44.80   935.09  -104.40     1.82)  ; 316
+                                (  -41.84   931.93  -101.53     1.82)  ; 317
+                                (  -41.84   930.50  -100.28     1.82)  ; 318
+                                (  -44.80   933.08  -102.70     1.82)  ; 319
+                                (  -45.70   931.36  -102.72     1.82)  ; 320
+                                (  -44.57   929.35  -103.05     1.82)  ; 321
+                                (  -44.57   930.78  -104.25     1.82)  ; 322
+                                (  -41.61   927.62  -103.67     1.82)  ; 323
+                                (  -40.25   928.49  -101.25     1.82)  ; 324
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+                                (  -40.70   919.58  -102.07     1.82)  ; 327
+                                (  -41.16   919.00  -105.22     1.82)  ; 328
+                                (  -41.16   920.73  -104.22     1.82)  ; 329
+                              )  ;  End of markers
+                              (
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+                                (  -51.05   967.08  -109.97     1.14)  ; 2
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+                                (  -50.37   980.01  -116.75     1.14)  ; 11
+                                (  -49.69   981.44  -117.20     1.14)  ; 12
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+                                (  -50.37   983.17  -117.95     1.14)  ; 14
+                                (  -50.37   984.32  -118.35     1.14)  ; 15
+                                (  -49.46   984.89  -118.65     1.14)  ; 16
+                                (  -48.33   986.90  -118.80     1.36)  ; 17
+                                (  -47.87   988.63  -119.63     1.36)  ; 18
+                                (  -49.01   990.06  -120.70     1.36)  ; 19
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+                                (  -48.55   995.52  -122.63     1.36)  ; 24
+                                (  -47.87   996.96  -122.65     1.36)  ; 25
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+                                (  -48.33  1005.00  -127.63     1.59)  ; 31
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+                                (  -52.19  1005.58  -130.35     1.36)  ; 35
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+                                (  -51.51  1017.65  -133.67     1.36)  ; 41
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+
+                                (FilledCircle
+                                  (Color Yellow)
+                                  (Name "Marker 11")
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+                                  (  -45.83  1074.83  -152.15     1.36)  ; 89
+                                )  ;  End of markers
+                                (
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+                                  (  -45.60  1115.63  -173.60     0.45)  ; 48
+                                  (  -48.10  1115.91  -173.68     0.45)  ; 49
+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
+                                    (  -46.28  1108.44  -173.25     0.45)  ; 1
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+                                    (  -44.46  1080.86  -155.88     0.45)  ; 25
+                                  )  ;  End of markers
+                                   Normal
+                                |
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+                                  (  -41.74  1080.86  -153.27     0.91)  ; 2
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+
+                                  (FilledCircle
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+                                  )  ;  End of markers
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+
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+                                    )  ;  End of markers
+                                     Normal
+                                  |
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+                                    (  -55.36  1048.54   -87.87     1.36)  ; 15
+                                    (  -57.64  1047.96   -88.82     1.36)  ; 16
+                                    (  -55.36  1047.68   -89.67     1.36)  ; 17
+                                    (  -58.09  1045.38   -88.57     1.36)  ; 18
+                                    (  -54.91  1046.24   -91.00     1.36)  ; 19
+                                    (  -57.86  1044.80   -91.00     1.36)  ; 20
+                                    (  -57.41  1045.38   -90.82     1.36)  ; 21
+                                    (  -54.45  1044.23   -91.27     1.36)  ; 22
+                                    (  -54.68  1042.79   -90.52     1.36)  ; 23
+                                    (  -57.18  1042.79   -90.52     1.36)  ; 24
+                                    (  -57.41  1041.07   -92.17     1.36)  ; 25
+                                    (  -54.68  1041.64   -94.27     1.36)  ; 26
+                                    (  -56.05  1039.34   -92.15     1.36)  ; 27
+                                    (  -55.82  1037.91   -90.25     1.36)  ; 28
+                                    (  -51.50  1040.20   -93.10     1.36)  ; 29
+                                    (  -51.95  1039.06   -93.55     1.36)  ; 30
+                                    (  -53.09  1037.04   -94.43     1.36)  ; 31
+                                    (  -52.86  1034.75   -95.15     1.36)  ; 32
+                                    (  -55.59  1036.47   -93.25     1.36)  ; 33
+                                    (  -55.36  1032.73   -95.65     1.36)  ; 34
+                                    (  -54.00  1033.60   -92.97     1.36)  ; 35
+                                    (  -55.59  1030.15   -94.05     1.36)  ; 36
+                                    (  -53.09  1031.01   -95.95     1.36)  ; 37
+                                    (  -55.36  1027.85   -95.32     1.36)  ; 38
+                                    (  -54.91  1029.29   -95.25     1.36)  ; 39
+                                    (  -52.41  1027.56   -97.57     1.36)  ; 40
+                                    (  -52.64  1027.27   -93.20     1.36)  ; 41
+                                    (  -56.27  1023.54   -93.53     1.36)  ; 42
+                                    (  -55.14  1022.96   -97.22     1.36)  ; 43
+                                    (  -54.68  1018.94   -95.82     1.36)  ; 44
+                                    (  -58.07  1088.20   -69.75     1.59)  ; 45
+                                    (  -55.12  1087.34   -71.57     1.59)  ; 46
+                                    (  -60.12  1086.48   -71.80     1.59)  ; 47
+                                    (  -55.35  1085.33   -74.32     1.59)  ; 48
+                                    (  -60.80  1084.75   -74.78     1.59)  ; 49
+                                    (  -60.80  1083.03   -74.42     1.59)  ; 50
+                                    (  -57.39  1085.33   -70.67     1.59)  ; 51
+                                    (  -53.75  1087.05   -70.03     1.59)  ; 52
+                                    (  -56.94  1083.03   -73.80     1.59)  ; 53
+                                    (  -56.94  1083.89   -73.80     1.59)  ; 54
+                                    (  -59.44  1083.03   -77.03     1.59)  ; 55
+                                    (  -59.89  1080.73   -77.05     1.59)  ; 56
+                                    (  -59.44  1081.02   -74.65     1.59)  ; 57
+                                    (  -55.80  1081.59   -76.28     1.59)  ; 58
+                                    (  -56.48  1080.16   -73.78     1.59)  ; 59
+                                    (  -60.35  1077.86   -77.50     1.59)  ; 60
+                                    (  -59.44  1078.72   -75.22     1.59)  ; 61
+                                    (  -55.80  1079.87   -77.45     1.59)  ; 62
+                                    (  -57.39  1077.86   -77.45     1.59)  ; 63
+                                    (  -60.57  1076.42   -78.02     1.59)  ; 64
+                                    (  -61.48  1075.27   -80.60     1.59)  ; 65
+                                    (  -61.94  1073.26   -80.20     1.59)  ; 66
+                                    (  -61.48  1069.53   -79.20     1.59)  ; 67
+                                    (  -60.35  1069.81   -80.15     1.59)  ; 68
+                                    (  -57.85  1073.84   -78.35     1.59)  ; 69
+                                    (  -58.30  1075.85   -79.18     1.59)  ; 70
+                                    (  -59.66  1073.84   -78.32     1.59)  ; 71
+                                    (  -65.12  1070.68   -79.88     1.59)  ; 72
+                                    (  -66.94  1068.66   -79.65     1.59)  ; 73
+                                    (  -65.57  1068.38   -79.40     1.59)  ; 74
+                                    (  -62.62  1068.09   -79.53     1.59)  ; 75
+                                    (  -65.12  1066.65   -81.40     1.59)  ; 76
+                                    (  -64.89  1066.08   -78.93     1.59)  ; 77
+                                    (  -65.12  1064.93   -82.07     1.59)  ; 78
+                                    (  -64.21  1063.49   -80.40     1.59)  ; 79
+                                    (  -65.12  1063.49   -83.27     1.59)  ; 80
+                                    (  -62.39  1064.93   -85.00     1.59)  ; 81
+                                  )  ;  End of markers
+                                  (
+                                    (  -56.03  1089.70   -70.85     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-2-2-1-1
+                                    (  -55.57  1091.14   -70.07     0.91)  ; 2
+                                    (  -56.03  1092.58   -69.40     1.14)  ; 3
+                                    (  -56.25  1093.73   -67.82     0.91)  ; 4
+                                    (  -56.94  1094.01   -67.05     0.91)  ; 5
+                                    (  -57.62  1092.86   -66.72     0.91)  ; 6
+                                    (  -56.71  1092.58   -66.55     0.91)  ; 7
+                                    (  -55.57  1092.86   -66.05     0.91)  ; 8
+                                    (  -55.35  1093.73   -66.07     0.91)  ; 9
+                                    (  -54.66  1094.01   -66.07     0.91)  ; 10
+                                    (  -53.30  1094.87   -65.20     0.91)  ; 11
+                                    (  -52.39  1094.87   -66.50     0.91)  ; 12
+                                    (  -51.25  1095.45   -64.85     0.91)  ; 13
+                                    (  -50.80  1097.17   -63.25     0.91)  ; 14
+                                    (  -51.94  1097.75   -61.92     0.91)  ; 15
+                                    (  -52.62  1097.46   -61.25     0.91)  ; 16
+                                    (  -52.62  1096.02   -60.15     0.91)  ; 17
+                                    (  -52.16  1094.87   -59.70     0.91)  ; 18
+                                    (  -51.48  1094.30   -59.32     0.91)  ; 19
+                                    (  -51.25  1094.01   -58.17     0.91)  ; 20
+                                    (  -49.89  1093.73   -58.07     0.91)  ; 21
+                                    (  -49.21  1094.30   -56.77     0.91)  ; 22
+                                    (  -49.66  1095.16   -56.03     0.91)  ; 23
+                                    (  -49.66  1096.02   -55.32     0.91)  ; 24
+                                    (  -49.21  1096.60   -54.05     0.91)  ; 25
+                                    (  -48.98  1097.17   -53.53     0.91)  ; 26
+                                    (  -48.07  1097.75   -52.97     0.91)  ; 27
+                                    (  -47.85  1098.61   -52.17     0.91)  ; 28
+                                    (  -47.62  1100.05   -52.50     0.91)  ; 29
+                                    (  -48.30  1101.48   -50.17     0.91)  ; 30
+                                    (  -49.44  1102.06   -49.27     0.91)  ; 31
+                                    (  -50.57  1101.48   -48.30     0.91)  ; 32
+                                    (  -51.25  1100.33   -47.45     0.91)  ; 33
+                                    (  -51.03  1099.18   -46.80     0.91)  ; 34
+                                    (  -50.12  1099.18   -46.20     0.91)  ; 35
+                                    (  -49.66  1099.18   -45.05     0.91)  ; 36
+                                    (  -48.30  1099.18   -44.58     0.91)  ; 37
+                                    (  -47.85  1099.18   -43.60     0.91)  ; 38
+                                    (  -46.71  1099.18   -42.57     0.91)  ; 39
+                                    (  -46.03  1099.18   -41.70     0.91)  ; 40
+                                    (  -45.35  1099.76   -41.38     0.91)  ; 41
+                                    (  -45.35  1100.33   -40.63     0.91)  ; 42
+                                    (  -45.35  1100.62   -39.38     0.91)  ; 43
+                                    (  -46.25  1101.48   -38.85     0.91)  ; 44
+                                    (  -46.48  1103.49   -38.38     1.14)  ; 45
+                                    (  -46.48  1104.36   -37.35     1.14)  ; 46
+                                    (  -45.35  1104.93   -36.78     1.14)  ; 47
+                                    (  -44.44  1104.93   -36.47     1.14)  ; 48
+                                    (  -43.53  1105.22   -36.00     1.14)  ; 49
+                                    (  -42.62  1105.51   -35.30     1.14)  ; 50
+                                    (  -41.94  1106.65   -34.20     1.14)  ; 51
+                                    (  -41.94  1107.52   -32.85     1.14)  ; 52
+                                    (  -42.39  1108.67   -36.78     1.14)  ; 53
+                                    (  -42.39  1109.53   -36.60     1.14)  ; 54
+                                    (  -43.30  1110.68   -33.97     1.14)  ; 55
+                                    (  -43.07  1111.83   -33.15     1.14)  ; 56
+                                    (  -41.71  1112.40   -31.48     1.14)  ; 57
+                                    (  -41.03  1111.83   -29.75     1.14)  ; 58
+                                    (  -42.16  1109.24   -28.35     1.14)  ; 59
+                                    (  -42.85  1109.53   -28.35     1.14)  ; 60
+                                    (  -41.48  1108.38   -26.60     1.14)  ; 61
+                                    (  -40.80  1107.52   -26.30     1.14)  ; 62
+                                    (  -40.80  1106.08   -25.38     0.91)  ; 63
+                                    (  -41.48  1105.79   -24.32     0.91)  ; 64
+                                    (  -43.30  1106.37   -24.25     0.91)  ; 65
+                                    (  -42.85  1107.23   -24.22     0.91)  ; 66
+                                    (  -40.57  1108.38   -23.90     0.68)  ; 67
+                                    (  -38.75  1109.53   -23.27     0.68)  ; 68
+                                    (  -38.53  1111.25   -23.27     0.68)  ; 69
+                                    (  -40.12  1112.11   -22.40     0.68)  ; 70
+                                    (  -41.48  1112.72   -22.43     0.68)  ; 71
+                                    (  -41.03  1113.58   -21.35     0.68)  ; 72
+                                    (  -40.80  1114.44   -21.13     0.68)  ; 73
+                                    (  -41.48  1114.44   -20.52     0.68)  ; 74
+                                    (  -42.85  1114.44   -20.50     0.68)  ; 75
+                                    (  -44.21  1115.02   -19.63     0.68)  ; 76
+                                    (  -44.89  1116.74   -18.50     0.68)  ; 77
+                                    (  -44.21  1119.33   -18.50     0.45)  ; 78
+                                    (  -42.62  1119.62   -16.92     0.45)  ; 79
+                                    (  -41.25  1119.62   -14.55     0.45)  ; 80
+                                    (  -40.57  1118.75   -13.47     0.45)  ; 81
+                                    (  -40.35  1117.03   -12.57     0.45)  ; 82
+                                    (  -38.75  1115.59   -11.68     0.45)  ; 83
+                                    (  -38.07  1116.46   -10.88     0.45)  ; 84
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (  -41.25  1105.22   -40.07     1.14)  ; 1
+                                      (  -41.48  1104.64   -40.10     1.14)  ; 2
+                                      (  -43.30  1104.36   -40.22     1.14)  ; 3
+                                      (  -45.80  1106.94   -40.55     1.14)  ; 4
+                                      (  -44.44  1103.78   -39.92     1.14)  ; 5
+                                      (  -44.21  1101.77   -39.92     1.14)  ; 6
+                                      (  -45.80  1102.06   -39.92     1.14)  ; 7
+                                      (  -47.62  1104.64   -39.38     1.14)  ; 8
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+                                      (  -46.48  1100.91   -43.80     1.14)  ; 11
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+                                      (  -49.89  1098.04   -56.32     1.14)  ; 21
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+                                      (  -51.71  1093.15   -58.75     1.14)  ; 24
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+                                      (  -58.75  1093.44   -67.93     1.14)  ; 27
+                                      (  -58.07  1092.00   -69.65     1.14)  ; 28
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+                                      (  -54.44  1092.00   -71.10     1.14)  ; 30
+                                      (  -56.94  1090.56   -71.05     1.14)  ; 31
+                                      (  -42.16  1115.88   -14.77     0.45)  ; 32
+                                      (  -38.98  1117.61   -14.77     0.45)  ; 33
+                                      (  -38.30  1114.44   -14.77     0.45)  ; 34
+                                      (  -41.48  1117.89   -16.63     0.45)  ; 35
+                                      (  -43.07  1119.90   -18.65     0.45)  ; 36
+                                      (  -44.66  1119.90   -20.33     0.45)  ; 37
+                                      (  -42.85  1115.31   -18.40     0.45)  ; 38
+                                      (  -43.07  1117.03   -18.42     0.45)  ; 39
+                                      (  -45.12  1115.59   -19.80     0.45)  ; 40
+                                      (  -45.57  1113.01   -20.97     0.45)  ; 41
+                                      (  -43.98  1113.30   -24.05     0.45)  ; 42
+                                      (  -39.44  1114.73   -24.32     0.45)  ; 43
+                                      (  -38.98  1115.59   -21.75     0.45)  ; 44
+                                      (  -42.39  1113.01   -24.62     0.45)  ; 45
+                                      (  -37.62  1111.86   -23.65     0.45)  ; 46
+                                      (  -37.39  1111.00   -24.52     0.45)  ; 47
+                                      (  -37.39  1111.28   -24.62     0.45)  ; 48
+                                      (  -39.89  1108.12   -24.58     0.45)  ; 49
+                                      (  -38.75  1108.70   -25.45     0.45)  ; 50
+                                      (  -44.21  1107.26   -26.25     0.45)  ; 51
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+                                      (  -43.07  1105.25   -26.32     0.45)  ; 53
+                                      (  -43.75  1109.27   -28.72     0.45)  ; 54
+                                      (  -43.75  1110.14   -32.67     0.45)  ; 55
+                                    )  ;  End of markers
+                                     Normal
+                                  |
+                                    (  -54.66  1089.35   -72.22     1.14)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-2-2-1-2
+                                    (  -53.75  1090.50   -71.77     1.14)  ; 2
+                                    (  -52.62  1091.08   -71.50     1.14)  ; 3
+                                    (  -50.80  1091.65   -70.80     0.91)  ; 4
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+                                    (  -46.71  1095.10   -67.22     0.91)  ; 8
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+                                    (  -44.44  1098.55   -65.72     0.91)  ; 10
+                                    (  -41.94  1099.41   -64.72     0.91)  ; 11
+                                    (  -41.94  1099.98   -64.65     0.91)  ; 12
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+                                    (  -41.94  1105.73   -63.22     0.91)  ; 16
+                                    (  -41.71  1107.45   -62.70     0.91)  ; 17
+                                    (  -41.25  1109.75   -62.15     0.91)  ; 18
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+                                    (  -40.57  1112.05   -61.50     1.14)  ; 20
+                                    (  -38.98  1112.63   -61.17     0.91)  ; 21
+                                    (  -38.75  1113.49   -61.20     0.91)  ; 22
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      (  -54.66  1090.79   -73.05     0.91)  ; 1
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+                                      (  -48.75  1092.22   -72.10     0.91)  ; 3
+                                      (  -49.44  1091.08   -69.95     0.91)  ; 4
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+                                      (  -46.03  1094.24   -68.50     0.91)  ; 7
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+                                      (  -40.80  1103.72   -63.53     0.91)  ; 18
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+                                      (  -43.53  1106.88   -63.88     0.91)  ; 21
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+                                      (  -40.12  1109.75   -63.95     0.91)  ; 24
+                                      (  -38.75  1112.05   -62.20     0.91)  ; 25
+                                      (  -41.94  1110.33   -63.17     0.91)  ; 26
+                                    )  ;  End of markers
+                                    (
+                                      (  -39.66  1114.99   -61.20     0.68)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-2-2-1-2-1
+                                      (  -41.25  1115.56   -61.20     0.68)  ; 2
+                                      (  -41.94  1117.29   -60.25     0.68)  ; 3
+                                      (  -40.80  1119.01   -59.75     0.68)  ; 4
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+                                      (  -42.16  1121.02   -58.38     0.68)  ; 7
+                                      (  -42.16  1122.17   -58.38     0.68)  ; 8
+                                      (  -42.39  1122.75   -58.38     0.91)  ; 9
+                                      (  -43.30  1123.03   -58.38     0.91)  ; 10
+                                      (  -43.53  1123.89   -58.38     0.91)  ; 11
+                                      (  -43.07  1125.33   -57.47     0.68)  ; 12
+                                      (  -43.75  1125.91   -57.50     0.68)  ; 13
+                                      (  -44.89  1125.91   -57.50     0.68)  ; 14
+                                      (  -45.12  1126.77   -57.42     0.68)  ; 15
+                                      (  -44.89  1127.63   -56.80     0.68)  ; 16
+                                      (  -44.89  1129.35   -56.85     0.68)  ; 17
+                                      (  -43.98  1130.79   -56.28     0.45)  ; 18
+                                      (  -44.44  1132.23   -56.00     0.45)  ; 19
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+
+                                      (FilledCircle
+                                        (Color Yellow)
+                                        (Name "Marker 11")
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+                                      )  ;  End of markers
+                                       Normal
+                                    |
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+                                      (  -38.98  1116.42   -62.15     0.91)  ; 2
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+
+                                      (FilledCircle
+                                        (Color Yellow)
+                                        (Name "Marker 11")
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+                                        (  -39.66  1117.00   -60.85     0.68)  ; 16
+                                      )  ;  End of markers
+                                       Normal
+                                    )  ;  End of split
+                                  )  ;  End of split
+                                |
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+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
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+                                    ( -112.54  1121.90   -94.57     1.14)  ; 97
+                                  )  ;  End of markers
+                                  (
+                                    ( -114.13  1122.47   -94.17     0.68)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-2-2-2-1
+                                    ( -114.13  1123.91   -94.17     0.68)  ; 2
+                                    ( -114.81  1125.34   -94.17     0.68)  ; 3
+                                    ( -114.13  1125.92   -94.65     0.68)  ; 4
+                                    ( -113.67  1127.36   -94.72     0.68)  ; 5
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+                                    ( -114.35  1129.08   -95.75     0.68)  ; 7
+                                    ( -115.26  1130.52   -97.40     0.45)  ; 8
+                                    ( -114.81  1131.67   -98.38     0.45)  ; 9
+                                    ( -115.26  1132.82   -99.82     0.45)  ; 10
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      ( -114.81  1127.93   -93.50     0.45)  ; 1
+                                      ( -115.26  1129.65   -93.27     0.45)  ; 2
+                                      ( -113.67  1129.65   -93.27     0.45)  ; 3
+                                      ( -113.90  1126.49   -95.13     0.45)  ; 4
+                                    )  ;  End of markers
+                                     Normal
+                                  |
+                                    ( -116.63  1123.05   -93.38     0.91)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2-2-2-2-2-2
+                                    ( -117.54  1124.48   -92.68     0.91)  ; 2
+                                    ( -119.13  1125.34   -92.38     0.91)  ; 3
+                                    ( -119.58  1125.92   -92.38     0.91)  ; 4
+                                    ( -119.81  1127.36   -92.17     0.68)  ; 5
+                                    ( -121.63  1129.65   -92.17     0.45)  ; 6
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+                                    ( -125.49  1132.82   -89.85     0.45)  ; 9
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      ( -123.22  1129.37   -93.00     0.45)  ; 1
+                                      ( -121.17  1130.52   -92.38     0.45)  ; 2
+                                      ( -121.40  1128.22   -92.85     0.45)  ; 3
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+                                      ( -117.76  1125.92   -89.75     0.45)  ; 5
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+                                      ( -115.26  1123.91   -92.50     0.45)  ; 10
+                                    )  ;  End of markers
+                                     Normal
+                                  )  ;  End of split
+                                )  ;  End of split
+                              )  ;  End of split
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  |
+                    (  -37.50   197.68   -30.90     4.09)  ; 1, R-2-2-2-2-2-2-2-2-2
+                    (  -39.77   199.12   -31.02     3.41)  ; 2
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+
+                    (FilledCircle
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+                      (Name "Marker 11")
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+                    )  ;  End of markers
+                    (
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+
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+                        (Color Yellow)
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+                       Normal
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+                      (FilledCircle
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+                      )  ;  End of markers
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+
+                        (FilledCircle
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+                        )  ;  End of markers
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+                            ( -101.89   180.63   -44.32     1.14)  ; 24
+                            ( -101.44   179.19   -42.05     1.14)  ; 25
+                            (  -98.48   178.33   -42.08     1.14)  ; 26
+                            (  -98.48   180.34   -42.10     1.14)  ; 27
+                            (  -92.12   182.64   -40.83     1.14)  ; 28
+                            (  -94.16   181.21   -41.47     1.14)  ; 29
+                            (  -93.48   187.24   -40.48     1.14)  ; 30
+                            (  -94.16   185.23   -40.50     1.14)  ; 31
+                            (  -95.53   183.22   -41.03     1.14)  ; 32
+                            (  -91.66   187.24   -40.13     1.14)  ; 33
+                            (  -91.21   188.39   -40.10     1.14)  ; 34
+                            (  -90.53   189.54   -42.92     1.14)  ; 35
+                            (  -89.39   186.66   -43.72     1.14)  ; 36
+                            (  -87.35   189.83   -42.47     1.14)  ; 37
+                            (  -89.62   189.25   -42.37     1.14)  ; 38
+                            (  -83.48   189.83   -42.22     1.14)  ; 39
+                            (  -81.21   190.11   -42.57     1.14)  ; 40
+                            (  -80.07   187.81   -45.05     1.14)  ; 41
+                            (  -74.39   189.25   -41.05     1.14)  ; 42
+                            (  -76.89   192.12   -41.70     1.14)  ; 43
+                            (  -75.53   189.83   -41.70     1.14)  ; 44
+                            (  -75.53   191.26   -39.28     1.14)  ; 45
+                            (  -73.03   191.55   -38.57     1.14)  ; 46
+                            (  -72.12   194.42   -39.20     1.14)  ; 47
+                            (  -73.03   190.11   -39.80     1.14)  ; 48
+                            (  -70.30   192.12   -41.22     1.14)  ; 49
+                            (  -69.62   196.15   -38.67     1.14)  ; 50
+                            (  -70.75   196.43   -38.75     1.14)  ; 51
+                            (  -68.94   197.58   -38.83     1.14)  ; 52
+                            (  -64.85   197.01   -38.72     1.14)  ; 53
+                            (  -64.39   199.59   -36.95     1.14)  ; 54
+                            (  -68.03   194.42   -40.32     1.14)  ; 55
+                            ( -123.10   156.20   -52.02     0.68)  ; 56
+                            ( -121.51   152.46   -49.87     0.68)  ; 57
+                            ( -124.46   154.48   -54.22     0.68)  ; 58
+                            ( -125.37   147.58   -51.55     0.68)  ; 59
+                            ( -122.42   155.05   -50.15     0.68)  ; 60
+                            ( -128.33   145.28   -51.93     0.68)  ; 61
+                            ( -127.65   147.01   -51.95     0.68)  ; 62
+                            ( -131.05   140.68   -52.45     0.68)  ; 63
+                            ( -132.87   140.11   -52.88     0.68)  ; 64
+                            ( -131.05   138.96   -53.40     0.68)  ; 65
+                            ( -134.69   136.66   -55.05     0.68)  ; 66
+                            ( -135.37   134.94   -54.85     0.68)  ; 67
+                            ( -133.33   135.80   -54.87     0.68)  ; 68
+                            ( -136.05   131.78   -56.10     0.68)  ; 69
+                            ( -134.69   132.64   -54.72     0.68)  ; 70
+                            ( -135.83   129.19   -57.67     0.68)  ; 71
+                            ( -136.28   118.27   -58.78     0.68)  ; 72
+                            ( -135.60   115.69   -58.42     0.68)  ; 73
+                            ( -137.65   109.65   -60.05     0.68)  ; 74
+                            ( -136.96   111.09   -60.20     0.68)  ; 75
+                            ( -135.37   107.93   -61.22     0.68)  ; 76
+                            ( -136.51   108.50   -61.20     0.68)  ; 77
+                            ( -137.19   105.06   -61.95     0.68)  ; 78
+                            ( -136.28   105.34   -62.97     0.68)  ; 79
+                            ( -136.74   103.91   -61.12     0.68)  ; 80
+                            ( -157.65    69.14   -73.90     0.45)  ; 81
+                            ( -156.74    70.58   -74.75     0.45)  ; 82
+                            ( -148.33    78.91   -73.22     0.45)  ; 83
+                            ( -144.92    81.49   -70.60     0.45)  ; 84
+                            ( -146.28    82.36   -70.47     0.45)  ; 85
+                            ( -139.92    91.26   -65.22     0.45)  ; 86
+                            ( -141.05    85.80   -65.27     0.45)  ; 87
+                            ( -139.92    91.84   -62.08     0.45)  ; 88
+                            ( -138.78    93.56   -60.77     0.45)  ; 89
+                            ( -137.65    99.60   -61.12     0.45)  ; 90
+                            ( -136.28   117.98   -57.65     0.45)  ; 91
+                            ( -137.42   120.57   -57.95     0.45)  ; 92
+                          )  ;  End of markers
+                           Normal
+                        |
+                          (  -65.70   201.63   -36.97     1.59)  ; 1, R-2-2-2-2-2-2-2-2-2-2-1-2
+                          (  -67.75   201.06   -35.30     1.36)  ; 2
+                          (  -69.79   199.91   -34.82     1.14)  ; 3
+                          (  -71.61   198.47   -33.88     1.36)  ; 4
+                          (  -73.43   197.32   -34.28     1.59)  ; 5
+                          (  -75.47   196.17   -33.13     1.36)  ; 6
+                          (  -77.06   196.17   -31.67     1.36)  ; 7
+                          (  -78.65   196.17   -31.52     1.59)  ; 8
+                          (  -80.25   195.89   -30.90     1.59)  ; 9
+                          (  -82.52   195.60   -30.42     1.36)  ; 10
+                          (  -84.34   196.17   -29.72     1.36)  ; 11
+                          (  -87.06   195.60   -29.48     1.36)  ; 12
+                          (  -88.65   195.89   -29.22     1.36)  ; 13
+                          (  -90.25   195.60   -28.82     1.36)  ; 14
+                          (  -92.29   194.74   -28.70     1.36)  ; 15
+                          (  -94.11   194.45   -28.17     1.36)  ; 16
+                          (  -97.29   195.60   -28.33     1.14)  ; 17
+                          (  -99.11   195.89   -27.47     1.14)  ; 18
+                          ( -100.70   195.31   -26.55     1.14)  ; 19
+                          ( -103.43   195.02   -26.07     1.14)  ; 20
+                          ( -105.25   194.16   -25.47     1.14)  ; 21
+                          ( -106.61   194.16   -24.52     1.14)  ; 22
+                          ( -107.52   194.45   -23.88     1.14)  ; 23
+                          ( -108.88   193.87   -23.88     1.14)  ; 24
+                          ( -110.02   193.59   -23.88     1.14)  ; 25
+                          ( -111.38   193.59   -23.88     1.14)  ; 26
+                          ( -112.75   194.45   -23.65     1.14)  ; 27
+                          ( -114.56   194.45   -23.50     1.14)  ; 28
+                          ( -116.84   194.16   -23.07     1.14)  ; 29
+                          ( -119.63   193.47   -23.23     1.14)  ; 30
+                          ( -121.68   194.05   -23.27     0.91)  ; 31
+                          ( -123.04   193.76   -23.27     0.91)  ; 32
+                          ( -124.18   194.34   -23.27     0.91)  ; 33
+                          ( -126.00   195.20   -23.27     1.14)  ; 34
+                          ( -128.50   196.06   -23.27     1.14)  ; 35
+                          ( -131.22   196.92   -22.92     1.14)  ; 36
+                          ( -133.95   197.21   -22.95     1.14)  ; 37
+                          ( -135.54   196.35   -22.75     1.14)  ; 38
+                          ( -138.27   196.35   -23.15     1.14)  ; 39
+                          ( -139.40   195.77   -23.20     1.14)  ; 40
+                          ( -141.00   196.06   -23.85     1.14)  ; 41
+                          ( -142.59   196.92   -23.95     1.14)  ; 42
+                          ( -144.40   197.50   -23.95     1.14)  ; 43
+                          ( -146.45   197.50   -24.00     1.14)  ; 44
+                          ( -148.27   197.21   -24.45     1.14)  ; 45
+                          ( -150.31   196.63   -24.45     1.14)  ; 46
+                          ( -152.13   196.06   -25.15     1.14)  ; 47
+                          ( -154.40   195.20   -24.95     1.14)  ; 48
+                          ( -156.45   194.62   -25.80     1.14)  ; 49
+                          ( -159.18   194.05   -26.50     1.14)  ; 50
+                          ( -160.54   194.34   -27.12     0.91)  ; 51
+                          ( -162.13   194.05   -27.12     1.14)  ; 52
+                          ( -163.04   194.34   -27.12     1.14)  ; 53
+                          ( -165.31   195.48   -26.10     0.91)  ; 54
+                          ( -167.58   195.77   -25.55     0.91)  ; 55
+                          ( -169.17   195.48   -24.82     0.91)  ; 56
+                          ( -170.08   196.06   -24.82     0.91)  ; 57
+                          ( -171.67   195.77   -24.20     0.91)  ; 58
+                          ( -171.67   194.91   -24.22     0.91)  ; 59
+                          ( -173.26   194.62   -23.52     0.91)  ; 60
+                          ( -174.63   194.91   -22.90     0.91)  ; 61
+                          ( -175.54   194.91   -22.38     0.91)  ; 62
+                          ( -176.90   195.20   -21.98     0.91)  ; 63
+                          ( -177.81   194.91   -21.38     0.91)  ; 64
+                          ( -178.26   194.05   -20.52     0.91)  ; 65
+                          ( -179.17   193.76   -20.07     0.91)  ; 66
+                          ( -180.54   194.34   -19.25     0.91)  ; 67
+                          ( -180.99   194.62   -18.75     0.91)  ; 68
+                          ( -183.04   194.62   -18.72     0.91)  ; 69
+                          ( -184.63   194.34   -17.98     0.91)  ; 70
+                          ( -187.35   194.05   -17.30     0.68)  ; 71
+                          ( -189.17   194.62   -15.92     0.68)  ; 72
+                          ( -189.63   195.20   -15.45     0.68)  ; 73
+                          ( -191.90   196.35   -15.48     0.68)  ; 74
+                          ( -194.63   196.06   -15.48     0.68)  ; 75
+                          ( -197.13   196.92   -16.05     0.68)  ; 76
+                          ( -198.49   198.65   -17.40     0.45)  ; 77
+                          ( -200.08   200.66   -17.80     0.45)  ; 78
+                          ( -200.31   201.52   -17.82     0.45)  ; 79
+
+                          (FilledCircle
+                            (Color Yellow)
+                            (Name "Marker 11")
+                            ( -115.93   193.30   -22.20     1.14)  ; 1
+                            ( -112.97   195.02   -24.55     1.14)  ; 2
+                            ( -113.43   193.59   -25.60     1.14)  ; 3
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+                            ( -168.26   197.21   -24.88     0.45)  ; 145
+                            ( -168.72   194.05   -24.70     0.45)  ; 146
+                            ( -169.63   194.05   -24.72     0.45)  ; 147
+                            ( -169.17   194.91   -24.72     0.45)  ; 148
+                            ( -166.67   196.92   -24.95     0.45)  ; 149
+                            ( -165.08   197.21   -26.98     0.45)  ; 150
+                            ( -161.45   195.48   -26.75     0.45)  ; 151
+                            ( -159.63   195.77   -23.88     0.45)  ; 152
+                            ( -158.72   195.20   -24.75     0.45)  ; 153
+                            ( -159.40   193.47   -27.53     0.45)  ; 154
+                            ( -163.26   195.77   -27.80     0.45)  ; 155
+                            ( -162.13   193.47   -25.95     0.45)  ; 156
+                            ( -165.76   193.76   -26.00     0.45)  ; 157
+                            ( -169.17   197.21   -26.05     0.45)  ; 158
+                            ( -174.17   194.91   -21.65     0.45)  ; 159
+                            ( -174.63   193.47   -23.82     0.45)  ; 160
+                            ( -172.35   193.47   -23.78     0.45)  ; 161
+                            ( -173.49   193.76   -23.80     0.45)  ; 162
+                          )  ;  End of markers
+                           Normal
+                        )  ;  End of split
+                      |
+                        (  -46.59   208.89   -33.38     3.18)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2
+                        (  -47.50   212.05   -33.38     3.18)  ; 2
+                        (  -47.50   214.63   -34.17     3.18)  ; 3
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+                        (  -52.50   229.58   -38.40     3.64)  ; 11
+                        (  -53.64   231.59   -38.10     4.09)  ; 12
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+                        (  -54.55   235.32   -37.05     3.64)  ; 14
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+                        (  -58.86   245.09   -34.58     3.18)  ; 17
+                        (  -60.45   247.39   -34.55     3.18)  ; 18
+                        (  -60.70   248.18   -34.88     3.18)  ; 19
+
+                        (FilledCircle
+                          (Color Yellow)
+                          (Name "Marker 11")
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+                          (  -49.32   208.89   -34.02     3.18)  ; 3
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+                          (  -52.05   234.75   -38.00     3.18)  ; 21
+                          (  -52.05   235.90   -38.07     3.18)  ; 22
+                          (  -56.82   231.87   -37.40     3.18)  ; 23
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+                          (  -54.32   226.70   -39.02     3.18)  ; 25
+                          (  -52.50   223.25   -36.75     3.18)  ; 26
+                          (  -51.82   219.81   -33.20     3.18)  ; 27
+                          (  -52.05   221.53   -33.63     3.18)  ; 28
+                          (  -56.36   234.17   -39.15     3.18)  ; 29
+                          (  -52.73   237.05   -33.83     3.18)  ; 30
+                          (  -52.05   238.48   -36.15     3.18)  ; 31
+                          (  -58.41   237.62   -34.25     3.18)  ; 32
+                          (  -57.05   237.33   -33.40     3.18)  ; 33
+                          (  -56.36   236.47   -34.17     3.18)  ; 34
+                          (  -57.50   235.32   -35.38     3.18)  ; 35
+                          (  -58.41   239.06   -32.15     3.18)  ; 36
+                          (  -58.86   239.63   -33.77     3.18)  ; 37
+                          (  -56.82   239.35   -32.75     3.18)  ; 38
+                          (  -56.59   245.38   -31.52     3.18)  ; 39
+                          (  -54.77   241.93   -33.03     3.18)  ; 40
+                          (  -57.05   246.53   -33.20     3.18)  ; 41
+                          (  -53.18   239.63   -34.78     3.18)  ; 42
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+                          (  -62.73   246.53   -33.95     3.18)  ; 47
+                          (  -57.95   247.97   -33.07     3.18)  ; 48
+                        )  ;  End of markers
+                        (
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+                          (  -65.22   249.76   -34.13     1.14)  ; 2
+                          (  -67.27   251.20   -33.60     1.14)  ; 3
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+                          (  -80.22   256.37   -31.95     1.36)  ; 10
+                          (  -81.36   256.95   -31.95     1.36)  ; 11
+                          (  -82.27   256.66   -31.70     1.36)  ; 12
+                          (  -84.31   256.95   -31.70     1.36)  ; 13
+                          (  -85.22   258.10   -31.70     1.36)  ; 14
+                          (  -86.59   258.67   -31.07     1.36)  ; 15
+                          (  -89.09   259.53   -30.92     1.36)  ; 16
+                          (  -91.36   260.40   -30.45     1.36)  ; 17
+                          (  -92.95   260.97   -29.92     1.36)  ; 18
+                          (  -94.77   261.55   -29.95     1.36)  ; 19
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+                          (  -99.09   262.41   -29.55     1.36)  ; 22
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+                          ( -102.50   262.98   -29.32     1.36)  ; 24
+                          ( -103.86   262.98   -29.30     1.36)  ; 25
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+                          ( -109.54   262.69   -30.63     1.36)  ; 28
+                          ( -111.59   263.27   -30.63     1.36)  ; 29
+                          ( -112.95   263.56   -30.63     1.36)  ; 30
+                          ( -114.31   266.14   -30.97     1.14)  ; 31
+                          ( -115.45   267.58   -31.32     1.14)  ; 32
+                          ( -117.50   269.02   -31.32     1.14)  ; 33
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+                          ( -158.44   279.35   -30.55     1.14)  ; 52
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+                          ( -185.03   273.60   -35.88     0.91)  ; 65
+                          ( -187.75   273.60   -36.35     0.91)  ; 66
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+                          ( -193.66   271.30   -36.90     0.91)  ; 69
+                          ( -195.25   271.30   -37.42     0.91)  ; 70
+                          ( -196.85   269.87   -37.97     0.68)  ; 71
+                          ( -198.44   269.58   -38.05     0.68)  ; 72
+                          ( -200.25   269.58   -38.65     1.14)  ; 73
+                          ( -202.07   269.00   -40.45     0.68)  ; 74
+                          ( -202.98   268.14   -41.90     0.68)  ; 75
+
+                          (FilledCircle
+                            (Color Yellow)
+                            (Name "Marker 11")
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+                            ( -161.62   279.35   -31.02     0.68)  ; 131
+                            ( -163.44   276.19   -31.20     0.68)  ; 132
+                            ( -158.44   281.07   -29.88     0.68)  ; 133
+                            ( -158.44   278.48   -31.52     0.68)  ; 134
+                            ( -156.62   281.07   -30.38     0.68)  ; 135
+                            ( -153.21   281.36   -27.75     0.68)  ; 136
+                            ( -151.16   281.36   -30.15     0.68)  ; 137
+                            ( -153.89   280.50   -31.27     0.68)  ; 138
+                            ( -158.89   279.92   -31.05     0.68)  ; 139
+                            ( -157.30   280.21   -31.05     0.68)  ; 140
+                            ( -153.89   278.48   -28.13     0.68)  ; 141
+                            ( -151.62   278.48   -28.17     0.68)  ; 142
+                            ( -154.57   277.91   -30.80     0.68)  ; 143
+                            ( -155.25   281.07   -29.60     0.68)  ; 144
+                            ( -150.25   281.07   -29.13     0.68)  ; 145
+                            ( -148.89   277.91   -30.05     0.68)  ; 146
+                            ( -147.30   278.20   -29.67     0.68)  ; 147
+                            ( -147.98   278.77   -28.98     0.68)  ; 148
+                            ( -152.98   279.63   -29.10     0.68)  ; 149
+                            ( -147.30   279.92   -31.15     0.68)  ; 150
+                            ( -145.48   277.91   -27.73     0.68)  ; 151
+                            ( -145.48   280.21   -27.85     0.68)  ; 152
+                            ( -144.57   279.92   -27.85     0.68)  ; 153
+                            ( -142.75   279.92   -28.27     0.68)  ; 154
+                            ( -141.16   279.35   -26.77     0.68)  ; 155
+                            ( -143.44   277.62   -26.82     0.68)  ; 156
+                            ( -142.53   278.48   -27.53     0.68)  ; 157
+                            ( -139.35   279.06   -28.52     0.68)  ; 158
+                            ( -140.71   276.19   -29.02     0.68)  ; 159
+                            ( -138.21   275.90   -29.67     0.68)  ; 160
+                            ( -136.85   277.91   -29.22     0.68)  ; 161
+                            ( -135.48   277.05   -27.08     0.68)  ; 162
+                            ( -134.35   277.34   -29.00     0.68)  ; 163
+                            ( -136.85   277.34   -27.15     0.68)  ; 164
+                            ( -136.85   275.04   -28.17     0.68)  ; 165
+                            ( -136.16   273.89   -28.20     0.68)  ; 166
+                            ( -134.57   273.31   -29.45     0.68)  ; 167
+                            ( -132.07   272.74   -27.50     0.68)  ; 168
+                            ( -132.53   274.75   -31.42     0.68)  ; 169
+                          )  ;  End of markers
+                           Normal
+                        |
+                          (  -60.93   249.90   -34.88     3.41)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2
+                          (  -60.93   253.06   -35.00     3.41)  ; 2
+                          (  -61.38   256.22   -34.97     3.41)  ; 3
+                          (  -62.29   258.81   -35.97     3.18)  ; 4
+                          (  -63.20   260.82   -36.50     3.18)  ; 5
+                          (  -63.65   262.83   -37.40     3.18)  ; 6
+                          (  -63.88   264.56   -36.42     3.18)  ; 7
+                          (  -63.88   265.71   -36.42     3.18)  ; 8
+                          (  -63.65   266.28   -36.42     3.18)  ; 9
+
+                          (FilledCircle
+                            (Color Yellow)
+                            (Name "Marker 11")
+                            (  -66.15   263.70   -36.65     3.18)  ; 1
+                            (  -65.70   259.67   -33.72     3.18)  ; 2
+                            (  -65.70   261.11   -36.10     3.18)  ; 3
+                            (  -61.15   263.12   -37.17     3.18)  ; 4
+                            (  -60.70   261.11   -34.92     3.18)  ; 5
+                            (  -60.47   260.53   -37.85     3.18)  ; 6
+                            (  -59.34   257.09   -38.05     3.18)  ; 7
+                            (  -58.20   254.79   -36.20     3.18)  ; 8
+                            (  -64.34   257.37   -35.65     3.18)  ; 9
+                            (  -63.43   252.78   -33.38     3.18)  ; 10
+                            (  -63.43   253.06   -35.65     3.18)  ; 11
+                            (  -63.65   254.79   -35.47     3.18)  ; 12
+                            (  -57.97   253.35   -35.25     3.18)  ; 13
+                            (  -58.20   252.20   -35.95     3.18)  ; 14
+                            (  -58.20   251.34   -33.40     3.18)  ; 15
+                            (  -58.43   249.90   -31.98     3.18)  ; 16
+                            (  -62.52   252.49   -30.60     3.18)  ; 17
+                            (  -66.15   265.99   -36.65     3.18)  ; 18
+                          )  ;  End of markers
+                          (
+                            (  -62.71   266.55   -34.20     1.82)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-1
+                            (  -61.58   267.42   -32.22     1.82)  ; 2
+                            (  -60.90   269.14   -30.33     1.82)  ; 3
+                            (  -60.90   270.86   -28.42     1.82)  ; 4
+                            (  -61.80   271.44   -27.45     1.82)  ; 5
+                            (  -62.71   271.73   -26.92     1.82)  ; 6
+                            (  -62.71   270.58   -26.38     1.82)  ; 7
+                            (  -62.26   270.29   -25.38     1.82)  ; 8
+                            (  -60.90   270.86   -24.80     1.82)  ; 9
+                            (  -60.90   272.01   -23.75     1.82)  ; 10
+                            (  -60.90   273.16   -23.75     1.82)  ; 11
+                            (  -60.67   274.89   -23.70     1.82)  ; 12
+                            (  -60.67   276.61   -22.95     1.59)  ; 13
+                            (  -61.80   277.76   -21.82     1.59)  ; 14
+                            (  -63.40   279.48   -20.85     1.59)  ; 15
+                            (  -64.30   279.77   -19.95     1.59)  ; 16
+                            (  -64.99   280.06   -19.42     1.59)  ; 17
+                            (  -66.35   280.35   -19.15     1.59)  ; 18
+                            (  -67.26   280.92   -18.95     1.59)  ; 19
+                            (  -67.26   281.50   -18.25     1.59)  ; 20
+                            (  -67.26   282.36   -17.45     1.59)  ; 21
+                            (  -67.03   283.51   -15.10     1.59)  ; 22
+                            (  -65.67   284.08   -13.90     1.59)  ; 23
+                            (  -64.08   283.79   -12.95     1.59)  ; 24
+                            (  -64.08   283.22   -11.60     1.59)  ; 25
+                            (  -64.76   282.07   -11.35     1.59)  ; 26
+                            (  -65.21   282.36   -10.85     1.59)  ; 27
+                            (  -65.44   283.22   -10.28     1.59)  ; 28
+                            (  -64.53   283.22    -9.93     1.59)  ; 29
+                            (  -63.62   281.78    -9.32     1.36)  ; 30
+                            (  -62.26   280.92    -8.57     1.14)  ; 31
+                            (  -60.21   280.06    -7.95     1.14)  ; 32
+                            (  -58.17   281.21    -8.90     1.14)  ; 33
+                            (  -56.80   282.65    -8.30     1.14)  ; 34
+                            (  -56.80   284.08    -8.32     1.14)  ; 35
+                            (  -55.67   285.81    -8.23     1.14)  ; 36
+                            (  -55.67   287.24    -7.60     1.14)  ; 37
+                            (  -55.44   288.39    -6.95     1.14)  ; 38
+                            (  -55.44   289.83    -5.35     1.14)  ; 39
+                            (  -55.44   291.27    -4.70     1.14)  ; 40
+                            (  -55.21   293.28    -3.82     1.14)  ; 41
+                            (  -54.53   293.85    -3.35     1.14)  ; 42
+                            (  -53.85   292.99    -2.55     1.14)  ; 43
+                            (  -54.30   292.13    -1.60     1.14)  ; 44
+                            (  -53.85   291.27    -1.53     1.14)  ; 45
+                            (  -52.49   292.13    -1.22     0.91)  ; 46
+                            (  -50.90   293.56    -0.65     0.68)  ; 47
+                            (  -50.90   295.00    -0.20     0.68)  ; 48
+                            (  -50.90   297.59    -0.15     0.68)  ; 49
+                            (  -49.76   298.45    -0.63     0.45)  ; 50
+                            (  -48.62   298.45    -1.65     0.45)  ; 51
+                            (  -47.94   297.59    -1.13     0.45)  ; 52
+                            (  -47.71   295.86    -1.17     0.23)  ; 53
+                            (  -46.80   295.00    -1.17     0.23)  ; 54
+
+                            (FilledCircle
+                              (Color Yellow)
+                              (Name "Marker 11")
+                              (  -48.85   293.85    -1.50     0.23)  ; 1
+                              (  -49.53   295.29    -1.53     0.23)  ; 2
+                              (  -47.26   299.31    -1.92     0.23)  ; 3
+                              (  -45.21   300.46    -0.28     0.23)  ; 4
+                              (  -51.58   298.16    -2.33     0.23)  ; 5
+                              (  -48.85   297.01    -2.60     0.23)  ; 6
+                              (  -52.94   295.00    -0.70     0.23)  ; 7
+                              (  -51.80   296.15    -0.50     0.23)  ; 8
+                              (  -51.58   295.00    -1.15     0.23)  ; 9
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+                              (  -50.44   292.99    -4.15     0.23)  ; 11
+                              (  -52.26   293.85    -0.60     0.23)  ; 12
+                              (  -53.17   293.85    -4.70     0.23)  ; 13
+                              (  -56.58   293.56    -6.22     0.23)  ; 14
+                              (  -55.90   292.13    -6.22     0.23)  ; 15
+                              (  -55.44   291.84    -9.02     0.23)  ; 16
+                              (  -55.90   290.69    -9.02     0.23)  ; 17
+                              (  -52.71   290.98    -8.47     0.23)  ; 18
+                              (  -57.26   290.69   -11.80     0.23)  ; 19
+                              (  -53.17   290.40   -11.90     0.23)  ; 20
+                              (  -57.49   287.53    -8.50     0.23)  ; 21
+                              (  -53.85   287.53    -8.55     0.23)  ; 22
+                              (  -53.85   285.23    -9.30     0.23)  ; 23
+                              (  -55.44   284.08    -8.88     0.23)  ; 24
+                              (  -57.94   284.94   -12.55     0.23)  ; 25
+                              (  -57.49   286.67   -12.75     0.23)  ; 26
+                              (  -54.99   282.65   -10.97     0.23)  ; 27
+                              (  -57.94   282.93   -11.60     0.23)  ; 28
+                              (  -58.85   283.79   -13.40     0.23)  ; 29
+                              (  -59.53   282.65   -12.60     0.23)  ; 30
+                              (  -55.67   281.50   -13.60     0.23)  ; 31
+                              (  -56.80   280.63   -13.75     0.23)  ; 32
+                              (  -59.08   279.48   -12.02     0.23)  ; 33
+                              (  -59.99   279.48   -12.02     0.23)  ; 34
+                              (  -61.80   279.20   -11.77     0.23)  ; 35
+                              (  -62.71   279.77   -11.77     0.23)  ; 36
+                              (  -60.90   282.07   -11.70     0.23)  ; 37
+                              (  -62.26   282.36   -11.35     0.23)  ; 38
+                              (  -61.58   284.08   -11.37     0.23)  ; 39
+                              (  -63.17   282.93   -11.00     0.23)  ; 40
+                              (  -69.53   280.92   -20.97     0.23)  ; 41
+                              (  -68.62   281.50   -22.55     0.23)  ; 42
+                              (  -68.40   280.06   -22.55     0.23)  ; 43
+                              (  -64.99   278.91   -22.50     0.23)  ; 44
+                              (  -63.62   281.21   -21.58     0.23)  ; 45
+                              (  -60.67   280.06   -22.85     0.23)  ; 46
+                              (  -64.08   284.08   -22.75     0.23)  ; 47
+                              (  -63.17   278.05   -25.17     0.23)  ; 48
+                              (  -62.26   277.19   -24.40     0.23)  ; 49
+                              (  -61.80   276.04   -24.32     0.23)  ; 50
+                              (  -62.71   276.04   -22.60     0.23)  ; 51
+                              (  -62.26   274.89   -23.67     0.23)  ; 52
+                              (  -62.71   273.45   -23.67     0.23)  ; 53
+                              (  -59.08   273.45   -25.05     0.23)  ; 54
+                              (  -60.44   270.29   -24.35     0.23)  ; 55
+                              (  -61.58   269.14   -24.38     0.23)  ; 56
+                              (  -59.53   274.31   -24.13     0.23)  ; 57
+                              (  -58.62   275.46   -27.05     0.23)  ; 58
+                              (  -58.62   276.90   -26.80     0.23)  ; 59
+                              (  -59.30   278.05   -26.15     0.23)  ; 60
+                              (  -63.85   272.88   -25.30     0.23)  ; 61
+                              (  -63.40   269.72   -30.13     0.23)  ; 62
+                              (  -59.76   268.85   -30.75     0.23)  ; 63
+                              (  -60.67   267.42   -31.35     0.23)  ; 64
+                              (  -61.12   266.84   -32.47     0.23)  ; 65
+                            )  ;  End of markers
+                             Normal
+                          |
+                            (  -63.88   267.72   -36.42     2.95)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2
+                            (  -64.79   269.73   -36.22     2.95)  ; 2
+                            (  -66.61   271.45   -35.83     2.95)  ; 3
+                            (  -67.52   272.89   -35.17     2.95)  ; 4
+                            (  -67.52   274.61   -34.80     2.95)  ; 5
+                            (  -66.84   277.77   -36.17     3.18)  ; 6
+                            (  -66.54   279.26   -36.30     3.41)  ; 7
+                            (  -66.76   281.56   -36.30     3.41)  ; 8
+                            (  -67.67   284.15   -36.30     3.18)  ; 9
+                            (  -68.58   286.73   -36.30     2.95)  ; 10
+                            (  -68.81   290.18   -37.42     3.18)  ; 11
+                            (  -69.26   293.05   -37.42     3.18)  ; 12
+                            (  -70.85   297.08   -37.65     2.95)  ; 13
+                            (  -72.22   300.52   -38.40     2.95)  ; 14
+                            (  -74.26   304.26   -39.40     2.95)  ; 15
+                            (  -76.08   307.99   -40.00     2.73)  ; 16
+                            (  -77.45   310.29   -40.72     2.73)  ; 17
+                            (  -77.67   311.44   -40.72     2.95)  ; 18
+                            (  -77.45   313.17   -40.72     2.95)  ; 19
+                            (  -76.08   315.47   -41.47     2.73)  ; 20
+                            (  -75.40   317.76   -42.08     2.73)  ; 21
+                            (  -75.85   319.78   -42.08     2.95)  ; 22
+                            (  -76.08   322.94   -42.08     3.18)  ; 23
+                            (  -76.54   325.52   -42.92     3.18)  ; 24
+                            (  -76.99   327.53   -42.92     3.41)  ; 25
+                            (  -77.90   330.69   -43.80     3.18)  ; 26
+                            (  -78.13   331.56   -42.53     3.18)  ; 27
+                            (  -78.35   333.57   -43.40     3.18)  ; 28
+                            (  -78.13   336.44   -44.55     3.18)  ; 29
+                            (  -78.13   338.16   -45.48     3.18)  ; 30
+                            (  -78.13   340.75   -46.17     3.18)  ; 31
+                            (  -78.13   343.62   -46.67     3.18)  ; 32
+                            (  -78.81   345.63   -47.35     3.41)  ; 33
+                            (  -80.17   349.37   -48.15     3.41)  ; 34
+                            (  -80.85   353.68   -49.15     3.41)  ; 35
+                            (  -81.76   357.99   -49.87     3.18)  ; 36
+                            (  -83.81   361.73   -49.60     2.95)  ; 37
+                            (  -84.95   365.46   -48.60     2.95)  ; 38
+                            (  -85.63   369.20   -49.45     2.73)  ; 39
+                            (  -85.85   370.63   -52.00     2.95)  ; 40
+                            (  -86.31   372.64   -54.13     3.18)  ; 41
+                            (  -87.45   375.23   -53.60     3.64)  ; 42
+                            (  -88.13   380.40   -53.62     3.64)  ; 43
+                            (  -89.26   385.00   -53.97     3.18)  ; 44
+                            (  -90.17   390.17   -54.07     2.95)  ; 45
+                            (  -91.08   395.06   -54.15     2.95)  ; 46
+                            (  -91.54   396.49   -53.07     2.95)  ; 47
+                            (  -92.67   398.79   -54.32     2.95)  ; 48
+                            (  -93.58   401.09   -55.03     3.18)  ; 49
+                            (  -93.58   403.10   -55.03     2.95)  ; 50
+                            (  -92.45   405.40   -56.15     2.95)  ; 51
+                            (  -91.76   407.99   -56.52     2.95)  ; 52
+                            (  -92.22   409.71   -56.57     2.73)  ; 53
+                            (  -93.13   412.58   -56.57     2.73)  ; 54
+                            (  -93.58   415.17   -57.47     2.73)  ; 55
+                            (  -94.04   418.33   -57.47     2.95)  ; 56
+                            (  -94.72   420.91   -57.47     2.73)  ; 57
+                            (  -95.40   424.36   -58.13     2.73)  ; 58
+                            (  -95.17   427.81   -58.10     2.95)  ; 59
+                            (  -94.49   430.97   -58.13     2.95)  ; 60
+                            (  -94.49   433.56   -58.75     2.73)  ; 61
+                            (  -95.17   436.43   -59.32     2.73)  ; 62
+                            (  -94.92   438.01   -61.28     3.18)  ; 63
+                            (  -94.46   441.17   -62.08     3.18)  ; 64
+                            (  -93.78   444.61   -62.15     2.95)  ; 65
+                            (  -93.78   447.78   -62.92     2.95)  ; 66
+                            (  -94.01   450.94   -63.58     2.95)  ; 67
+                            (  -93.55   453.52   -64.65     2.73)  ; 68
+                            (  -92.65   456.97   -65.25     2.73)  ; 69
+                            (  -92.42   458.69   -65.70     2.73)  ; 70
+                            (  -92.87   460.42   -65.75     2.73)  ; 71
+                            (  -92.42   462.43   -66.10     2.73)  ; 72
+                            (  -91.96   465.02   -66.45     2.73)  ; 73
+                            (  -91.96   467.31   -66.45     2.73)  ; 74
+                            (  -92.65   469.90   -66.43     2.73)  ; 75
+                            (  -92.65   471.34   -67.53     2.73)  ; 76
+                            (  -93.55   474.50   -68.07     2.73)  ; 77
+                            (  -94.01   477.66   -68.67     2.73)  ; 78
+                            (  -93.55   480.82   -68.93     2.73)  ; 79
+                            (  -93.33   483.98   -69.13     2.73)  ; 80
+                            (  -92.87   488.86   -69.40     2.73)  ; 81
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+                            (  -93.33   503.23   -70.35     3.18)  ; 85
+                            (  -93.33   507.25   -70.35     2.73)  ; 86
+                            (  -94.01   511.28   -70.88     2.73)  ; 87
+                            (  -95.15   514.72   -70.88     2.73)  ; 88
+                            (  -95.60   516.16   -71.77     2.73)  ; 89
+                            (  -95.83   518.17   -71.88     2.73)  ; 90
+                            (  -95.83   520.18   -71.88     2.73)  ; 91
+                            (  -96.74   522.19   -72.53     2.73)  ; 92
+                            (  -97.65   523.63   -71.47     2.73)  ; 93
+                            (  -98.55   525.35   -71.50     3.18)  ; 94
+                            (  -98.55   526.50   -71.50     2.95)  ; 95
+                            (  -97.65   529.38   -71.50     2.73)  ; 96
+                            (  -97.19   531.96   -71.80     2.73)  ; 97
+                            (  -97.42   535.41   -71.80     2.73)  ; 98
+                            (  -97.19   538.86   -71.80     2.73)  ; 99
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+                              ( -110.83   717.19   -84.43     2.27)  ; 430
+                              ( -109.46   722.94   -85.47     2.27)  ; 431
+                              ( -113.33   719.49   -84.60     2.27)  ; 432
+                              ( -114.46   720.93   -84.90     2.27)  ; 433
+                              ( -115.15   722.65   -85.47     2.27)  ; 434
+                              ( -114.01   721.79   -87.80     2.27)  ; 435
+                              ( -112.19   726.96   -85.33     2.27)  ; 436
+                              ( -116.05   724.66   -86.13     2.27)  ; 437
+                              ( -111.74   724.95   -86.00     2.27)  ; 438
+                              ( -109.46   721.22   -84.25     2.27)  ; 439
+                              ( -116.96   727.25   -87.25     2.27)  ; 440
+                              ( -117.19   726.39   -86.77     2.27)  ; 441
+                              ( -116.96   728.69   -86.30     2.27)  ; 442
+                              ( -112.87   728.11   -85.57     2.27)  ; 443
+                              ( -112.87   729.84   -86.47     2.27)  ; 444
+                              ( -112.87   731.27   -86.77     2.27)  ; 445
+                              ( -117.65   730.99   -85.68     2.27)  ; 446
+                              ( -112.87   733.57   -87.25     2.27)  ; 447
+                              ( -114.46   733.28   -87.25     2.27)  ; 448
+                              ( -114.69   735.30   -85.75     2.27)  ; 449
+                              ( -115.60   735.58   -83.85     2.27)  ; 450
+                              ( -115.37   736.73   -83.70     2.27)  ; 451
+                              ( -119.92   738.46   -87.22     2.27)  ; 452
+                              ( -116.51   739.32   -88.30     2.27)  ; 453
+                              ( -118.78   736.73   -88.23     2.27)  ; 454
+                              ( -117.65   732.71   -84.78     2.27)  ; 455
+                              ( -118.33   733.86   -86.75     2.27)  ; 456
+                              ( -117.65   742.48   -87.92     2.27)  ; 457
+                              ( -123.33   745.06   -86.72     2.27)  ; 458
+                              ( -123.10   748.80   -86.00     2.27)  ; 459
+                              ( -119.69   747.36   -88.40     2.27)  ; 460
+                              ( -121.96   744.20   -89.08     2.27)  ; 461
+                              ( -122.42   745.64   -83.63     2.27)  ; 462
+                              ( -118.78   748.51   -85.88     2.27)  ; 463
+                              ( -119.69   750.24   -82.92     2.27)  ; 464
+                              ( -123.55   750.81   -88.05     2.27)  ; 465
+                              ( -122.42   751.39   -85.60     2.27)  ; 466
+                              ( -119.01   752.82   -85.05     2.27)  ; 467
+                              ( -119.01   751.39   -86.45     2.27)  ; 468
+                              ( -119.46   755.98   -87.83     2.27)  ; 469
+                              ( -122.87   752.82   -87.15     2.27)  ; 470
+                              ( -123.55   754.55   -88.02     2.27)  ; 471
+                              ( -123.78   755.41   -88.02     2.27)  ; 472
+                              ( -124.24   756.56   -90.30     2.27)  ; 473
+                              ( -123.33   755.12   -89.90     2.27)  ; 474
+                              ( -120.15   756.85   -86.35     2.27)  ; 475
+                              ( -121.05   757.99   -88.53     2.27)  ; 476
+                              ( -121.28   759.43   -88.18     2.27)  ; 477
+                              ( -124.01   757.99   -89.95     2.27)  ; 478
+                              ( -125.83   759.43   -89.22     2.27)  ; 479
+                              ( -122.42   762.88   -86.00     2.27)  ; 480
+                              ( -121.96   761.44   -87.42     2.27)  ; 481
+                              ( -127.19   762.02   -85.88     2.27)  ; 482
+                              ( -126.96   762.88   -88.60     2.27)  ; 483
+                              ( -123.33   763.74   -90.13     2.27)  ; 484
+                              ( -122.19   760.01   -90.45     2.27)  ; 485
+                              ( -125.03   768.63   -84.65     2.05)  ; 486
+                              ( -123.90   766.33   -86.93     2.05)  ; 487
+                              ( -124.12   765.47   -88.42     2.05)  ; 488
+                              ( -127.99   765.75   -86.27     2.05)  ; 489
+                              ( -128.21   767.48   -86.58     2.05)  ; 490
+                              ( -125.03   772.36   -85.40     2.05)  ; 491
+                              ( -130.03   773.22   -88.02     2.05)  ; 492
+                              ( -128.67   770.64   -85.42     2.05)  ; 493
+                              ( -128.90   771.79   -85.68     2.05)  ; 494
+                              ( -125.94   776.86   -88.47     2.05)  ; 495
+                              ( -130.03   775.14   -86.93     2.05)  ; 496
+                              ( -130.03   777.15   -86.60     2.05)  ; 497
+                              ( -126.62   779.73   -85.02     2.05)  ; 498
+                              ( -126.16   780.88   -87.45     2.05)  ; 499
+                              ( -125.48   778.30   -89.57     2.05)  ; 500
+                              ( -126.85   777.72   -89.55     2.05)  ; 501
+                              ( -126.62   775.71   -89.55     2.05)  ; 502
+                              ( -130.03   780.31   -86.47     2.05)  ; 503
+                              ( -130.94   782.03   -86.98     2.05)  ; 504
+                              ( -129.80   778.87   -89.82     2.05)  ; 505
+                              ( -127.07   783.18   -90.25     2.05)  ; 506
+                              ( -127.30   785.19   -88.05     2.05)  ; 507
+                              ( -127.75   788.35   -85.42     2.05)  ; 508
+                              ( -126.62   788.07   -88.10     2.05)  ; 509
+                              ( -127.75   786.92   -88.10     2.05)  ; 510
+                              ( -127.98   791.80   -87.68     2.05)  ; 511
+                              ( -128.21   790.65   -87.75     2.05)  ; 512
+                              ( -127.98   794.10   -88.38     2.05)  ; 513
+                              ( -133.21   792.66   -85.75     2.05)  ; 514
+                              ( -131.85   792.66   -87.80     2.05)  ; 515
+                              ( -131.85   789.22   -89.00     2.05)  ; 516
+                              ( -131.85   790.08   -87.45     2.05)  ; 517
+                              ( -132.07   791.23   -84.82     2.05)  ; 518
+                              ( -130.25   788.07   -85.57     2.05)  ; 519
+                              ( -129.35   796.40   -89.20     2.05)  ; 520
+                              ( -133.44   798.70   -87.68     2.05)  ; 521
+                              ( -132.53   797.55   -85.33     2.05)  ; 522
+                              ( -132.07   794.96   -85.97     2.05)  ; 523
+                              ( -129.12   800.71   -90.18     2.05)  ; 524
+                              ( -129.12   803.58   -88.38     2.05)  ; 525
+                              ( -129.57   801.86   -86.47     2.05)  ; 526
+                              ( -131.16   803.58   -86.47     2.05)  ; 527
+                              ( -129.80   798.70   -85.07     2.05)  ; 528
+                              ( -128.66   798.99   -87.83     2.05)  ; 529
+                              ( -132.98   802.15   -85.70     2.05)  ; 530
+                              ( -132.98   801.57   -87.15     2.05)  ; 531
+                              ( -132.07   805.02   -87.63     2.05)  ; 532
+                              ( -136.39   810.77   -87.60     2.05)  ; 533
+                              ( -135.48   811.34   -86.10     2.05)  ; 534
+                              ( -135.25   812.78   -87.65     2.05)  ; 535
+                              ( -135.71   814.21   -88.85     2.05)  ; 536
+                              ( -132.53   809.33   -88.75     2.05)  ; 537
+                              ( -130.94   811.63   -88.07     2.05)  ; 538
+                              ( -131.39   815.08   -85.75     2.05)  ; 539
+                              ( -132.30   816.51   -85.37     2.05)  ; 540
+                              ( -132.07   819.67   -89.30     2.05)  ; 541
+                              ( -129.57   819.96   -86.45     2.05)  ; 542
+                              ( -132.30   821.40   -86.62     2.05)  ; 543
+                              ( -132.75   823.12   -88.57     2.05)  ; 544
+                              ( -132.53   819.96   -88.13     2.05)  ; 545
+                              ( -135.94   814.50   -88.30     2.05)  ; 546
+                              ( -135.48   818.52   -84.92     2.05)  ; 547
+                              ( -136.62   818.24   -86.98     2.05)  ; 548
+                              ( -139.12   825.99   -87.17     2.05)  ; 549
+                              ( -136.85   824.56   -86.22     2.05)  ; 550
+                              ( -137.98   826.86   -86.22     2.05)  ; 551
+                              ( -137.07   825.71   -86.22     2.05)  ; 552
+                              ( -137.53   823.41   -87.92     2.05)  ; 553
+                              ( -134.57   824.85   -84.88     2.05)  ; 554
+                              ( -135.03   827.43   -84.88     2.05)  ; 555
+                              ( -135.03   829.16   -85.70     2.05)  ; 556
+                              ( -132.98   827.72   -87.17     2.05)  ; 557
+                              ( -132.98   826.57   -87.17     2.05)  ; 558
+                              ( -137.98   828.01   -88.72     2.05)  ; 559
+                              ( -152.53   895.59   -90.30     2.05)  ; 560
+                              ( -152.30   892.43   -91.47     2.05)  ; 561
+                              ( -152.53   894.44   -87.10     2.05)  ; 562
+                              ( -156.85   894.44   -89.15     2.05)  ; 563
+                              ( -155.71   890.71   -86.93     2.05)  ; 564
+                              ( -155.48   891.57   -87.25     2.05)  ; 565
+                              ( -155.03   888.70   -90.20     2.05)  ; 566
+                              ( -151.62   887.55   -86.82     2.05)  ; 567
+                              ( -152.30   884.10   -83.30     2.05)  ; 568
+                              ( -154.35   881.51   -86.38     2.05)  ; 569
+                              ( -155.03   883.24   -86.43     2.05)  ; 570
+                              ( -153.66   880.08   -90.05     2.05)  ; 571
+                              ( -151.39   884.39   -87.63     2.05)  ; 572
+                              ( -151.16   882.66   -89.25     2.05)  ; 573
+                              ( -148.89   879.50   -88.18     2.05)  ; 574
+                              ( -148.89   877.78   -85.68     2.05)  ; 575
+                              ( -152.30   878.93   -89.55     2.05)  ; 576
+                              ( -151.85   877.20   -88.60     2.05)  ; 577
+                              ( -150.94   876.05   -89.57     2.05)  ; 578
+                              ( -152.75   874.33   -87.20     2.05)  ; 579
+                              ( -151.16   872.61   -87.65     2.05)  ; 580
+                              ( -147.98   875.77   -87.92     2.05)  ; 581
+                              ( -146.16   874.33   -89.03     2.05)  ; 582
+                              ( -147.07   873.18   -88.93     2.05)  ; 583
+                              ( -150.71   870.59   -88.45     2.05)  ; 584
+                              ( -149.12   869.73   -87.02     2.05)  ; 585
+                              ( -148.44   868.01   -87.07     2.05)  ; 586
+                              ( -147.30   867.72   -84.82     2.05)  ; 587
+                              ( -148.21   872.32   -85.40     2.05)  ; 588
+                              ( -147.30   869.73   -85.40     2.05)  ; 589
+                              ( -146.16   871.74   -90.25     2.05)  ; 590
+                              ( -144.80   872.32   -89.75     2.05)  ; 591
+                              ( -144.12   870.59   -88.10     2.05)  ; 592
+                              ( -143.21   868.87   -88.20     2.05)  ; 593
+                              ( -147.53   866.57   -86.90     2.05)  ; 594
+                              ( -145.71   865.14   -85.07     2.05)  ; 595
+                              ( -142.98   865.14   -85.92     2.05)  ; 596
+                              ( -141.62   866.00   -87.20     2.05)  ; 597
+                              ( -142.53   866.86   -87.25     2.05)  ; 598
+                              ( -145.71   859.96   -88.10     2.05)  ; 599
+                              ( -146.85   863.70   -88.55     2.05)  ; 600
+                              ( -142.30   861.11   -85.85     2.05)  ; 601
+                              ( -141.39   862.55   -89.55     2.05)  ; 602
+                              ( -141.16   858.81   -87.95     2.05)  ; 603
+                              ( -141.39   857.09   -88.47     2.05)  ; 604
+                              ( -140.03   855.94   -90.02     2.05)  ; 605
+                              ( -141.16   855.94   -86.90     2.05)  ; 606
+                              ( -144.35   860.54   -84.78     2.05)  ; 607
+                              ( -144.12   856.52   -85.47     2.05)  ; 608
+                              ( -145.48   856.23   -85.73     2.05)  ; 609
+                              ( -144.57   855.37   -89.15     2.05)  ; 610
+                              ( -144.80   858.53   -89.43     2.05)  ; 611
+                              ( -144.80   853.64   -86.77     2.05)  ; 612
+                              ( -144.35   852.21   -88.00     2.05)  ; 613
+                              ( -140.03   853.93   -88.00     2.05)  ; 614
+                              ( -140.03   852.78   -88.35     2.05)  ; 615
+                              ( -140.25   852.21   -89.17     2.05)  ; 616
+                              ( -144.12   849.62   -88.67     2.05)  ; 617
+                              ( -143.44   851.34   -85.33     2.05)  ; 618
+                              ( -139.80   850.19   -87.00     2.05)  ; 619
+                              ( -139.80   849.33   -87.00     2.05)  ; 620
+                              ( -140.03   845.60   -90.20     2.05)  ; 621
+                              ( -139.80   846.46   -88.10     2.05)  ; 622
+                              ( -140.03   847.90   -88.63     2.05)  ; 623
+                              ( -144.12   847.32   -88.63     2.05)  ; 624
+                              ( -144.12   845.88   -88.63     2.05)  ; 625
+                              ( -142.53   843.59   -87.40     2.05)  ; 626
+                              ( -138.89   844.16   -88.95     2.05)  ; 627
+                              ( -138.21   843.30   -89.17     2.05)  ; 628
+                              ( -137.30   841.86   -87.87     2.05)  ; 629
+                              ( -141.39   841.29   -89.95     2.05)  ; 630
+                              ( -140.48   837.26   -87.83     2.05)  ; 631
+                              ( -139.57   833.24   -84.80     2.05)  ; 632
+                              ( -139.57   834.10   -84.85     2.05)  ; 633
+                              ( -139.80   835.54   -89.48     2.05)  ; 634
+                              ( -140.25   832.09   -89.03     2.05)  ; 635
+                              ( -140.94   832.38   -89.05     2.05)  ; 636
+                              ( -137.53   840.42   -89.03     2.05)  ; 637
+                              ( -136.39   836.12   -89.78     2.05)  ; 638
+                              ( -135.48   830.94   -85.92     2.05)  ; 639
+                              ( -135.71   833.53   -89.22     2.05)  ; 640
+                              ( -136.16   832.09   -87.42     2.05)  ; 641
+                              ( -164.23   938.69   -85.55     2.50)  ; 642
+                              ( -160.82   941.85   -87.85     2.50)  ; 643
+                              ( -156.96   934.67   -89.72     2.50)  ; 644
+                              ( -157.19   928.64   -87.28     2.50)  ; 645
+                              ( -156.28   930.93   -90.15     2.50)  ; 646
+                              ( -159.91   927.49   -83.67     2.50)  ; 647
+                              ( -161.28   927.77   -87.50     2.50)  ; 648
+                              ( -157.64   924.61   -88.10     2.50)  ; 649
+                              ( -157.87   921.74   -85.42     2.50)  ; 650
+                              ( -157.19   920.02   -86.88     2.50)  ; 651
+                              ( -156.96   918.58   -85.28     2.50)  ; 652
+                              ( -156.50   917.43   -86.55     2.50)  ; 653
+                              ( -161.28   918.29   -87.38     2.50)  ; 654
+                              ( -160.82   916.28   -85.33     2.50)  ; 655
+                              ( -159.46   915.42   -88.02     2.50)  ; 656
+                              ( -159.46   918.29   -88.50     2.50)  ; 657
+                              ( -160.60   912.83   -85.97     2.50)  ; 658
+                              ( -159.46   913.69   -87.60     2.50)  ; 659
+                              ( -155.60   915.42   -87.17     2.50)  ; 660
+                              ( -159.00   910.82   -84.17     2.50)  ; 661
+                              ( -154.91   913.41   -86.38     2.50)  ; 662
+                              ( -154.23   921.74   -86.35     2.50)  ; 663
+                              ( -155.14   911.68   -87.22     2.50)  ; 664
+                              ( -161.73   907.66   -87.92     2.50)  ; 665
+                              ( -159.23   908.52   -84.45     2.50)  ; 666
+                              ( -159.91   907.09   -88.18     2.50)  ; 667
+                              ( -154.91   907.09   -88.00     2.50)  ; 668
+                              ( -155.37   907.95   -85.30     2.50)  ; 669
+                              ( -156.05   903.64   -85.18     2.50)  ; 670
+                              ( -159.00   904.21   -85.18     2.50)  ; 671
+                              ( -159.46   905.36   -85.15     2.50)  ; 672
+                              ( -155.82   905.65   -89.67     2.50)  ; 673
+                              ( -154.46   902.49   -88.45     2.50)  ; 674
+                              ( -155.60   902.49   -85.88     2.50)  ; 675
+                              ( -154.91   901.63   -86.25     2.50)  ; 676
+                              ( -159.46   901.05   -86.30     2.50)  ; 677
+                              ( -158.32   900.48   -84.92     2.50)  ; 678
+                              ( -157.87   899.04   -87.75     2.50)  ; 679
+                              ( -156.50   896.17   -85.22     2.50)  ; 680
+                              ( -159.00   897.89   -87.87     2.50)  ; 681
+                              ( -157.41   897.32   -85.25     2.50)  ; 682
+                            )  ;  End of markers
+                            (
+                              ( -161.73   945.08   -87.30     1.82)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-1
+                              ( -160.82   946.23   -85.30     1.82)  ; 2
+                              ( -161.05   947.09   -83.77     1.82)  ; 3
+                              ( -161.95   947.66   -82.75     1.82)  ; 4
+                              ( -163.55   947.95   -82.17     1.82)  ; 5
+                              ( -165.59   949.10   -82.13     1.59)  ; 6
+                              ( -167.64   951.97   -81.88     1.59)  ; 7
+                              ( -168.09   953.70   -81.40     1.59)  ; 8
+                              ( -168.32   954.85   -80.28     1.59)  ; 9
+                              ( -168.32   955.71   -79.47     1.59)  ; 10
+                              ( -169.00   956.57   -78.75     1.59)  ; 11
+                              ( -169.68   956.86   -78.15     1.59)  ; 12
+                              ( -171.27   958.01   -78.00     1.36)  ; 13
+                              ( -172.18   958.87   -77.93     1.36)  ; 14
+                              ( -172.64   960.88   -77.63     1.36)  ; 15
+                              ( -172.41   962.03   -77.38     1.36)  ; 16
+                              ( -171.73   963.18   -76.70     1.36)  ; 17
+                              ( -171.50   964.90   -76.55     1.36)  ; 18
+                              ( -172.18   965.76   -76.22     1.36)  ; 19
+                              ( -173.09   966.34   -76.20     1.36)  ; 20
+                              ( -175.59   967.49   -75.82     1.36)  ; 21
+                              ( -176.05   968.06   -77.25     1.36)  ; 22
+
+                              (FilledCircle
+                                (Color Yellow)
+                                (Name "Marker 11")
+                                ( -175.59   965.48   -75.82     1.36)  ; 1
+                                ( -170.36   966.63   -79.32     1.36)  ; 2
+                                ( -170.14   962.89   -79.42     1.36)  ; 3
+                                ( -173.55   962.03   -81.72     1.36)  ; 4
+                                ( -172.86   963.47   -79.10     1.36)  ; 5
+                                ( -173.32   959.44   -80.60     1.36)  ; 6
+                                ( -172.86   956.57   -78.25     1.36)  ; 7
+                                ( -170.36   961.17   -78.38     1.36)  ; 8
+                                ( -169.91   959.16   -76.55     1.36)  ; 9
+                                ( -170.14   959.73   -78.88     1.36)  ; 10
+                                ( -171.27   956.57   -80.05     1.36)  ; 11
+                                ( -169.68   958.29   -80.57     1.36)  ; 12
+                                ( -167.18   955.71   -81.07     1.36)  ; 13
+                                ( -168.77   953.12   -82.07     1.36)  ; 14
+                                ( -168.77   950.25   -82.50     1.36)  ; 15
+                                ( -166.50   949.10   -80.28     1.36)  ; 16
+                                ( -164.45   945.65   -83.05     1.36)  ; 17
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+                                ( -173.55   968.06   -74.88     1.36)  ; 19
+                                ( -176.27   966.91   -77.50     1.36)  ; 20
+                              )  ;  End of markers
+                              (
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+                                  ( -241.84  1091.13   -24.17     0.68)  ; 129
+                                  ( -239.79  1089.99   -25.07     0.68)  ; 130
+                                  ( -239.56  1089.12   -25.10     0.68)  ; 131
+                                  ( -243.43  1089.70   -24.32     0.68)  ; 132
+                                  ( -241.84  1089.12   -24.92     0.68)  ; 133
+                                  ( -238.20  1087.40   -26.07     0.68)  ; 134
+                                  ( -240.25  1086.82   -25.13     0.68)  ; 135
+                                  ( -242.06  1086.25   -24.52     0.68)  ; 136
+                                  ( -241.15  1087.69   -24.60     0.68)  ; 137
+                                  ( -236.15  1085.39   -24.22     0.68)  ; 138
+                                  ( -235.93  1082.80   -24.58     0.68)  ; 139
+                                  ( -240.02  1085.10   -25.33     0.68)  ; 140
+                                  ( -238.20  1084.24   -23.33     0.68)  ; 141
+                                  ( -238.43  1082.23   -25.67     0.68)  ; 142
+                                  ( -235.70  1080.50   -23.50     0.68)  ; 143
+                                  ( -237.29  1078.78   -25.80     0.68)  ; 144
+                                  ( -235.93  1077.92   -26.15     0.68)  ; 145
+                                  ( -232.06  1076.77   -26.28     0.68)  ; 146
+                                  ( -233.20  1075.33   -26.10     0.68)  ; 147
+                                  ( -235.70  1075.62   -26.40     0.68)  ; 148
+                                  ( -235.47  1071.88   -30.05     0.68)  ; 149
+                                  ( -231.38  1073.03   -26.77     0.68)  ; 150
+                                  ( -232.97  1072.75   -30.55     0.68)  ; 151
+                                  ( -233.65  1074.47   -28.00     0.68)  ; 152
+                                  ( -235.47  1073.61   -28.72     0.68)  ; 153
+                                  ( -236.84  1068.72   -33.83     0.68)  ; 154
+                                  ( -233.88  1068.44   -32.47     0.68)  ; 155
+                                  ( -231.15  1071.31   -31.67     0.68)  ; 156
+                                  ( -232.75  1068.72   -34.10     0.68)  ; 157
+                                  ( -231.38  1068.72   -35.47     0.68)  ; 158
+                                  ( -228.88  1065.56   -33.88     0.68)  ; 159
+                                  ( -228.65  1070.73   -31.45     0.68)  ; 160
+                                  ( -227.52  1069.59   -32.52     0.68)  ; 161
+                                  ( -225.47  1068.72   -33.25     0.68)  ; 162
+                                  ( -229.56  1068.44   -35.77     0.68)  ; 163
+                                  ( -227.29  1066.71   -36.45     0.68)  ; 164
+                                  ( -227.29  1067.86   -34.67     0.68)  ; 165
+                                  ( -226.15  1065.85   -33.97     0.68)  ; 166
+                                  ( -225.25  1064.70   -36.80     0.68)  ; 167
+                                  ( -224.11  1063.55   -35.08     0.68)  ; 168
+                                  ( -220.70  1063.55   -33.20     0.68)  ; 169
+                                  ( -220.02  1061.83   -35.63     0.68)  ; 170
+                                  ( -223.43  1062.40   -35.30     0.68)  ; 171
+                                  ( -222.75  1062.11   -35.33     0.68)  ; 172
+                                  ( -221.15  1058.95   -37.22     0.68)  ; 173
+                                  ( -220.93  1057.23   -37.32     0.68)  ; 174
+                                  ( -224.34  1063.84   -32.25     0.68)  ; 175
+                                  ( -222.75  1064.41   -34.35     0.68)  ; 176
+                                  ( -276.72  1111.54   -13.85     0.45)  ; 177
+                                  ( -280.81  1111.54   -14.15     0.45)  ; 178
+                                  ( -279.68  1110.96   -13.52     0.45)  ; 179
+                                  ( -276.95  1108.09   -15.25     0.45)  ; 180
+                                  ( -274.22  1110.10   -15.63     0.45)  ; 181
+                                  ( -273.77  1107.80   -14.57     0.45)  ; 182
+                                  ( -276.72  1106.65   -15.63     0.45)  ; 183
+                                  ( -276.72  1105.21   -16.52     0.45)  ; 184
+                                  ( -274.90  1104.35   -16.55     0.45)  ; 185
+                                  ( -272.40  1104.93   -15.10     0.45)  ; 186
+                                  ( -271.50  1105.50   -15.73     0.45)  ; 187
+                                  ( -270.13  1106.94   -14.92     0.45)  ; 188
+                                  ( -270.13  1105.50   -16.85     0.45)  ; 189
+                                  ( -268.31  1105.79   -16.22     0.45)  ; 190
+                                  ( -269.90  1102.92   -18.80     0.45)  ; 191
+                                  ( -267.86  1102.63   -18.25     0.45)  ; 192
+                                  ( -266.95  1104.64   -16.57     0.45)  ; 193
+                                  ( -272.40  1102.63   -16.63     0.45)  ; 194
+                                  ( -264.68  1101.48   -19.97     0.45)  ; 195
+                                  ( -260.13  1104.35   -17.77     0.45)  ; 196
+                                  ( -261.50  1103.20   -19.02     0.45)  ; 197
+                                  ( -265.59  1105.21   -18.77     0.45)  ; 198
+                                  ( -263.54  1104.35   -17.92     0.45)  ; 199
+                                  ( -264.68  1105.21   -17.15     0.45)  ; 200
+                                  ( -265.36  1103.49   -17.25     0.45)  ; 201
+                                )  ;  End of markers
+                                 Normal
+                              |
+                                ( -175.57   969.04   -74.70     0.91)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-1-2
+                                ( -175.11   970.48   -75.35     0.91)  ; 2
+                                ( -175.34   971.34   -74.60     0.91)  ; 3
+                                ( -176.25   972.78   -73.25     0.91)  ; 4
+                                ( -175.80   973.64   -72.25     1.14)  ; 5
+                                ( -174.89   974.50   -71.45     1.14)  ; 6
+                                ( -174.66   976.80   -71.28     0.91)  ; 7
+                                ( -174.43   978.53   -71.28     0.91)  ; 8
+                                ( -173.98   980.25   -70.35     0.91)  ; 9
+                                ( -173.30   980.82   -69.30     1.14)  ; 10
+                                ( -172.16   981.11   -68.15     1.59)  ; 11
+                                ( -170.34   981.97   -67.28     1.14)  ; 12
+                                ( -168.52   983.98   -66.95     0.91)  ; 13
+                                ( -167.84   986.57   -66.22     0.91)  ; 14
+                                ( -167.16   987.72   -65.38     1.14)  ; 15
+                                ( -166.93   989.73   -64.85     1.14)  ; 16
+                                ( -166.93   992.03   -64.82     1.14)  ; 17
+                                ( -166.25   994.90   -64.30     0.91)  ; 18
+                                ( -165.34   996.91   -64.10     0.91)  ; 19
+                                ( -164.89   998.64   -64.10     0.91)  ; 20
+                                ( -165.57  1001.22   -64.10     0.91)  ; 21
+                                ( -165.34  1002.66   -63.72     0.91)  ; 22
+                                ( -164.20  1003.81   -64.30     0.91)  ; 23
+                                ( -163.52  1004.38   -63.58     0.91)  ; 24
+                                ( -163.30  1005.82   -62.57     0.91)  ; 25
+                                ( -162.39  1007.26   -61.57     0.91)  ; 26
+                                ( -161.48  1008.41   -61.30     0.91)  ; 27
+                                ( -160.83  1010.18   -62.35     0.91)  ; 28
+                                ( -160.37  1011.04   -62.50     0.91)  ; 29
+                                ( -159.01  1012.19   -62.65     1.14)  ; 30
+                                ( -157.87  1013.34   -62.65     1.14)  ; 31
+                                ( -157.19  1014.49   -63.40     1.14)  ; 32
+                                ( -156.96  1016.50   -63.97     1.14)  ; 33
+                                ( -156.96  1017.94   -63.42     1.14)  ; 34
+                                ( -156.96  1018.51   -62.40     1.14)  ; 35
+                                ( -156.96  1019.37   -61.50     1.14)  ; 36
+                                ( -156.74  1019.95   -60.55     1.14)  ; 37
+                                ( -156.51  1020.81   -59.70     1.14)  ; 38
+                                ( -155.83  1021.10   -58.82     1.14)  ; 39
+                                ( -155.37  1021.39   -58.22     1.14)  ; 40
+                                ( -154.92  1021.96   -57.77     1.14)  ; 41
+                                ( -154.69  1022.82   -57.33     1.14)  ; 42
+                                ( -154.69  1023.68   -57.02     1.14)  ; 43
+                                ( -154.46  1024.83   -56.82     1.14)  ; 44
+                                ( -154.24  1025.70   -56.50     1.14)  ; 45
+                                ( -154.24  1026.27   -56.50     1.14)  ; 46
+                                ( -154.01  1027.42   -56.35     1.14)  ; 47
+                                ( -153.10  1027.99   -56.35     1.14)  ; 48
+                                ( -151.96  1028.86   -56.22     1.14)  ; 49
+                                ( -151.51  1029.14   -56.00     1.14)  ; 50
+                                ( -151.05  1030.58   -55.77     1.14)  ; 51
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+                                ( -148.33  1034.03   -55.75     1.14)  ; 53
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+                                ( -146.05  1037.76   -54.32     1.14)  ; 55
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+                                ( -144.24  1041.21   -52.53     1.14)  ; 57
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+                                ( -143.44  1044.08   -51.03     1.14)  ; 59
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+                                ( -144.12  1045.52   -50.40     1.14)  ; 61
+                                ( -143.67  1046.38   -50.32     1.36)  ; 62
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+                                ( -122.53  1081.72   -41.32     1.36)  ; 88
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+                                ( -119.58  1090.34   -36.58     1.36)  ; 93
+                                ( -119.80  1091.78   -36.58     1.36)  ; 94
+
+                                (FilledCircle
+                                  (Color Yellow)
+                                  (Name "Marker 11")
+                                  ( -161.48  1004.96   -65.95     0.91)  ; 1
+                                  ( -162.16  1004.96   -62.30     0.91)  ; 2
+                                  ( -164.66  1004.67   -64.78     0.91)  ; 3
+                                  ( -164.20  1004.96   -62.90     0.91)  ; 4
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+                                  ( -158.78  1013.63   -62.40     1.14)  ; 68
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+                                  ( -132.99  1061.04   -42.88     1.36)  ; 94
+                                  ( -132.53  1063.62   -43.40     1.36)  ; 95
+                                  ( -132.76  1067.07   -44.45     1.36)  ; 96
+                                  ( -131.62  1066.21   -43.22     1.36)  ; 97
+                                  ( -130.26  1063.34   -43.80     1.36)  ; 98
+                                  ( -129.58  1064.77   -43.82     1.36)  ; 99
+                                  ( -128.90  1066.78   -44.20     1.36)  ; 100
+                                  ( -129.12  1070.52   -43.15     1.36)  ; 101
+                                  ( -124.35  1071.96   -43.67     1.36)  ; 102
+                                  ( -124.35  1073.68   -43.18     1.36)  ; 103
+                                  ( -123.21  1076.84   -44.00     1.36)  ; 104
+                                  ( -122.30  1078.28   -44.45     1.36)  ; 105
+                                  ( -123.44  1079.43   -44.45     1.36)  ; 106
+                                  ( -125.71  1077.13   -45.05     1.36)  ; 107
+                                  ( -124.58  1081.44   -44.20     1.36)  ; 108
+                                  ( -121.62  1083.45   -39.70     1.36)  ; 109
+                                  ( -119.80  1082.01   -39.70     1.36)  ; 110
+                                  ( -118.44  1082.87   -41.63     1.36)  ; 111
+                                  ( -118.90  1086.03   -40.03     1.36)  ; 112
+                                  ( -121.17  1084.89   -37.85     1.36)  ; 113
+                                  ( -121.62  1089.19   -38.60     1.36)  ; 114
+                                  ( -120.49  1089.19   -35.95     1.36)  ; 115
+                                  ( -120.26  1090.92   -37.10     1.36)  ; 116
+                                  ( -117.76  1090.92   -38.45     1.36)  ; 117
+                                )  ;  End of markers
+                                (
+                                  ( -120.38  1093.03   -38.27     0.91)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-1-2-1
+                                  ( -120.15  1094.17   -37.97     0.91)  ; 2
+                                  ( -119.24  1095.32   -37.77     0.91)  ; 3
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+
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+                                  )  ;  End of markers
+                                   Normal
+                                |
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+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
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+                                  )  ;  End of markers
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+                                    ( -107.24  1117.81   -27.50     0.91)  ; 2
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+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
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+                                    )  ;  End of markers
+                                    (
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+                                      ( -102.69  1121.26   -26.45     0.45)  ; 2
+                                      ( -102.46  1122.40   -26.45     0.45)  ; 3
+                                      ( -100.65  1123.84   -26.05     0.45)  ; 4
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+
+                                      (FilledCircle
+                                        (Color Yellow)
+                                        (Name "Marker 11")
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+                                        (  -99.96  1123.55   -26.85     0.23)  ; 2
+                                      )  ;  End of markers
+                                       Normal
+                                    |
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+                                      ( -105.65  1120.68   -24.02     0.91)  ; 2
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+
+                                      (FilledCircle
+                                        (Color Yellow)
+                                        (Name "Marker 11")
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+                                      )  ;  End of markers
+                                       Normal
+                                    )  ;  End of split
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+                                    (FilledCircle
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+                                    )  ;  End of markers
+                                     Normal
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+                              (FilledCircle
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+
+                                  (FilledCircle
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+                                  )  ;  End of markers
+                                   Normal
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+
+                                  (FilledCircle
+                                    (Color Yellow)
+                                    (Name "Marker 11")
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+                                  )  ;  End of markers
+                                   Incomplete
+                                )  ;  End of split
+                              |
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+
+                                (FilledCircle
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+                                )  ;  End of markers
+                                (
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+
+                                  (FilledCircle
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+                                    ( -178.86   979.79   -96.40     1.59)  ; 40
+                                  )  ;  End of markers
+                                  (
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+
+                                    (FilledCircle
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+                                      ( -165.00  1111.73  -117.25     1.36)  ; 98
+                                    )  ;  End of markers
+                                    (
+                                      ( -163.80  1115.27  -122.42     0.91)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-1-1-1
+                                      ( -161.53  1116.42  -122.45     0.91)  ; 2
+                                      ( -159.71  1117.57  -122.45     0.91)  ; 3
+                                      ( -157.67  1118.72  -122.45     0.68)  ; 4
+                                      ( -156.30  1119.30  -122.45     0.68)  ; 5
+                                      ( -154.49  1119.30  -122.63     0.68)  ; 6
+                                      ( -152.21  1119.87  -122.70     0.68)  ; 7
+                                      ( -149.71  1121.02  -121.90     0.68)  ; 8
+                                      ( -147.67  1122.17  -120.55     0.68)  ; 9
+                                      ( -144.26  1123.61  -120.55     0.91)  ; 10
+                                      ( -141.53  1124.18  -119.38     0.68)  ; 11
+                                      ( -139.71  1124.18  -118.65     0.68)  ; 12
+                                      ( -137.67  1123.61  -118.72     0.68)  ; 13
+                                      ( -135.40  1123.89  -118.72     0.68)  ; 14
+                                      ( -131.30  1124.47  -118.72     0.45)  ; 15
+                                      ( -128.58  1124.47  -118.70     0.45)  ; 16
+                                      ( -126.99  1124.18  -118.27     0.45)  ; 17
+                                      ( -124.26  1123.32  -117.75     0.45)  ; 18
+                                      ( -120.40  1122.17  -119.25     0.45)  ; 19
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+                                      ( -115.06  1121.02  -120.90     0.45)  ; 21
+                                      ( -114.38  1121.31  -120.88     0.45)  ; 22
+                                      ( -112.56  1120.45  -122.42     0.45)  ; 23
+                                      ( -110.51  1121.02  -123.13     0.45)  ; 24
+                                      ( -108.47  1121.02  -123.13     0.45)  ; 25
+                                      ( -105.29  1120.45  -123.15     0.45)  ; 26
+
+                                      (FilledCircle
+                                        (Color Yellow)
+                                        (Name "Marker 11")
+                                        ( -120.40  1121.31  -119.90     0.45)  ; 1
+                                        ( -120.62  1125.91  -119.88     0.45)  ; 2
+                                        ( -120.17  1123.32  -119.88     0.45)  ; 3
+                                        ( -125.17  1122.75  -119.97     0.45)  ; 4
+                                        ( -124.26  1124.76  -120.02     0.45)  ; 5
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+                                        ( -128.58  1122.46  -117.20     0.45)  ; 7
+                                        ( -131.08  1125.33  -119.25     0.45)  ; 8
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+                                        ( -134.71  1125.62  -120.25     0.45)  ; 10
+                                        ( -138.12  1126.19  -117.87     0.45)  ; 11
+                                        ( -136.08  1126.48  -119.05     0.45)  ; 12
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+                                        ( -142.21  1123.03  -118.15     0.45)  ; 14
+                                        ( -146.76  1124.18  -118.65     0.45)  ; 15
+                                        ( -147.44  1123.03  -118.65     0.45)  ; 16
+                                        ( -150.40  1119.01  -121.80     0.45)  ; 17
+                                        ( -151.99  1118.15  -121.77     0.45)  ; 18
+                                        ( -155.62  1120.45  -121.77     0.45)  ; 19
+                                        ( -159.71  1118.72  -121.88     0.45)  ; 20
+                                        ( -160.85  1118.15  -123.67     0.45)  ; 21
+                                        ( -159.71  1116.14  -122.38     0.45)  ; 22
+                                        ( -161.99  1114.99  -121.67     0.45)  ; 23
+                                        ( -163.12  1116.14  -120.70     0.45)  ; 24
+                                        ( -107.10  1121.60  -123.50     0.45)  ; 25
+                                        ( -108.70  1119.30  -123.50     0.45)  ; 26
+                                        ( -114.15  1119.01  -122.28     0.45)  ; 27
+                                        ( -116.65  1122.46  -120.50     0.45)  ; 28
+                                      )  ;  End of markers
+                                       Normal
+                                    |
+                                      ( -166.03  1114.89  -122.52     1.36)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-1-1-2
+                                      ( -166.94  1114.89  -122.90     1.36)  ; 2
+                                      ( -167.16  1113.74  -123.55     1.36)  ; 3
+                                      ( -167.85  1113.16  -124.00     1.36)  ; 4
+                                      ( -168.98  1113.16  -124.90     1.36)  ; 5
+                                      ( -169.44  1114.02  -125.77     1.36)  ; 6
+                                      ( -169.44  1115.17  -125.77     1.36)  ; 7
+                                      ( -168.98  1116.61  -125.77     1.36)  ; 8
+                                      (
+                                        ( -171.48  1116.90  -125.77     0.68)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-1-1-2-1
+                                        ( -172.39  1117.47  -125.77     0.68)  ; 2
+                                        ( -173.30  1118.91  -125.77     0.68)  ; 3
+                                        ( -175.57  1119.77  -125.77     0.68)  ; 4
+                                        ( -177.16  1119.48  -127.68     0.68)  ; 5
+                                        ( -178.98  1119.77  -127.65     0.68)  ; 6
+                                        ( -180.57  1120.92  -128.27     0.68)  ; 7
+                                        ( -182.62  1121.49  -128.32     0.68)  ; 8
+                                        ( -184.21  1122.07  -128.43     0.68)  ; 9
+                                        ( -185.35  1121.78  -128.50     0.68)  ; 10
+                                        ( -188.30  1122.07  -129.05     0.68)  ; 11
+                                        ( -189.44  1122.07  -129.15     0.68)  ; 12
+                                        ( -190.57  1121.78  -130.13     0.68)  ; 13
+                                        ( -192.16  1121.78  -130.40     0.68)  ; 14
+                                        ( -193.98  1122.36  -131.22     0.68)  ; 15
+                                        ( -194.89  1122.07  -131.95     0.68)  ; 16
+                                        ( -196.03  1121.49  -132.35     0.68)  ; 17
+                                        ( -197.39  1120.92  -133.32     0.68)  ; 18
+                                        ( -198.53  1120.63  -134.00     0.68)  ; 19
+                                        ( -198.98  1121.49  -134.52     0.68)  ; 20
+                                        ( -200.57  1122.93  -135.10     0.68)  ; 21
+                                        ( -203.53  1123.22  -136.20     0.68)  ; 22
+                                        ( -205.35  1124.08  -136.77     0.68)  ; 23
+                                        ( -207.39  1124.94  -137.38     0.68)  ; 24
+                                        ( -208.75  1125.23  -138.20     0.68)  ; 25
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+                                        ( -224.60  1141.71  -144.57     0.68)  ; 37
+                                        ( -223.92  1142.86  -145.13     0.68)  ; 38
+                                        ( -223.92  1145.73  -145.65     0.68)  ; 39
+
+                                        (FilledCircle
+                                          (Color Yellow)
+                                          (Name "Marker 11")
+                                          ( -209.66  1124.37  -137.10     0.68)  ; 1
+                                          ( -205.57  1124.94  -136.82     0.68)  ; 2
+                                          ( -203.53  1122.64  -134.30     0.68)  ; 3
+                                          ( -208.98  1123.22  -134.25     0.68)  ; 4
+                                          ( -198.75  1119.77  -133.32     0.68)  ; 5
+                                          ( -192.39  1120.92  -131.13     0.68)  ; 6
+                                          ( -196.48  1122.07  -131.90     0.68)  ; 7
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+                                          ( -223.24  1134.53  -140.65     0.68)  ; 20
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+                                          ( -211.20  1125.91  -135.65     0.68)  ; 26
+                                          ( -206.65  1123.32  -134.32     0.68)  ; 27
+                                        )  ;  End of markers
+                                         Incomplete
+                                      |
+                                        ( -168.75  1118.33  -128.25     1.36)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-1-1-2-2
+                                        ( -168.75  1118.62  -129.90     1.36)  ; 2
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+                                        ( -122.62  1121.78  -165.07     0.45)  ; 50
+
+                                        (FilledCircle
+                                          (Color Yellow)
+                                          (Name "Marker 11")
+                                          ( -167.39  1122.64  -130.27     1.36)  ; 1
+                                          ( -136.71  1120.06  -161.85     0.45)  ; 2
+                                          ( -138.53  1114.89  -161.72     0.45)  ; 3
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+                                          ( -170.12  1119.77  -131.32     0.45)  ; 22
+                                        )  ;  End of markers
+                                         Normal
+                                      )  ;  End of split
+                                    )  ;  End of split
+                                  |
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+                                        ( -382.19  1095.51  -129.38     1.14)  ; 4
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+                                        ( -358.55  1093.50  -125.68     1.14)  ; 10
+                                        ( -359.46  1093.50  -127.50     1.14)  ; 11
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+                                        ( -375.37  1094.07  -128.38     1.14)  ; 19
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+                                        ( -373.10  1096.37  -128.85     1.14)  ; 21
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+                                        ( -371.50  1092.35  -129.10     1.14)  ; 23
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+                                        ( -356.96  1090.05  -125.30     1.14)  ; 30
+                                        ( -358.32  1090.05  -127.38     1.14)  ; 31
+                                      )  ;  End of markers
+                                      (
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+                                        ( -395.94  1101.89  -126.27     0.91)  ; 2
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+                                        ( -409.35  1108.22  -123.13     0.91)  ; 11
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+                                        ( -410.94  1111.38  -122.13     0.68)  ; 13
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+
+                                        (FilledCircle
+                                          (Color Yellow)
+                                          (Name "Marker 11")
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+                                          ( -412.75  1111.38  -124.20     0.68)  ; 3
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+                                        )  ;  End of markers
+                                         Incomplete
+                                      |
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+                                        (FilledCircle
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+                                        )  ;  End of markers
+                                         Normal
+                                      )  ;  End of split
+                                    )  ;  End of split
+                                  )  ;  End of split
+                                |
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+                                    ( -175.97   983.51   -94.43     1.14)  ; 63
+                                    ( -175.75   981.50   -93.75     1.14)  ; 64
+                                    ( -208.36  1085.51   -86.10     1.14)  ; 65
+                                    ( -211.77  1086.09   -86.10     1.14)  ; 66
+                                    ( -211.77  1084.65   -84.38     1.14)  ; 67
+                                    ( -212.68  1082.35   -86.75     1.14)  ; 68
+                                    ( -212.00  1083.50   -85.42     1.14)  ; 69
+                                    ( -213.36  1081.49   -87.87     1.14)  ; 70
+                                    ( -213.59  1076.03   -88.35     1.14)  ; 71
+                                    ( -211.09  1076.60   -88.65     1.14)  ; 72
+                                    ( -210.18  1072.29   -88.57     1.14)  ; 73
+                                    ( -212.45  1073.73   -85.88     1.14)  ; 74
+                                    ( -210.63  1075.45   -87.05     1.14)  ; 75
+                                    ( -213.59  1071.43   -91.82     1.14)  ; 76
+                                    ( -210.63  1069.42   -89.43     1.14)  ; 77
+                                    ( -213.36  1069.71   -89.43     1.14)  ; 78
+                                    ( -210.86  1067.41   -88.45     1.14)  ; 79
+                                    ( -209.50  1065.11   -88.42     1.14)  ; 80
+                                    ( -212.22  1064.54   -88.77     1.14)  ; 81
+                                    ( -211.31  1062.52   -89.12     1.14)  ; 82
+                                    ( -209.04  1063.67   -90.15     1.14)  ; 83
+                                    ( -208.59  1061.95   -90.10     1.14)  ; 84
+                                    ( -211.09  1059.65   -90.95     1.14)  ; 85
+                                    ( -205.18  1060.51   -91.20     1.14)  ; 86
+                                    ( -207.90  1058.50   -86.40     1.14)  ; 87
+                                    ( -205.63  1055.92   -89.27     1.14)  ; 88
+                                    ( -204.27  1058.21   -88.57     1.14)  ; 89
+                                    ( -202.90  1057.64   -88.63     1.14)  ; 90
+                                    ( -203.36  1056.78   -90.05     1.14)  ; 91
+                                    ( -206.08  1088.48   -85.25     1.14)  ; 92
+                                    ( -206.76  1089.05   -82.10     1.14)  ; 93
+                                    ( -205.17  1092.50   -82.65     1.14)  ; 94
+                                    ( -209.49  1090.78   -82.95     1.14)  ; 95
+                                    ( -209.26  1091.64   -83.13     1.14)  ; 96
+                                    ( -206.99  1097.67   -82.83     1.14)  ; 97
+                                    ( -203.13  1098.25   -83.02     1.14)  ; 98
+                                    ( -203.81  1097.10   -83.63     1.14)  ; 99
+                                    ( -204.95  1097.96   -80.42     1.14)  ; 100
+                                    ( -208.58  1099.40   -82.47     1.14)  ; 101
+                                    ( -206.08  1099.40   -81.20     1.14)  ; 102
+                                  )  ;  End of markers
+                                  (
+                                    ( -204.04  1102.27   -80.68     0.91)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-1
+                                    ( -202.90  1102.85   -80.18     0.91)  ; 2
+                                    ( -200.85  1103.13   -79.47     0.91)  ; 3
+                                    ( -199.04  1104.28   -79.00     0.91)  ; 4
+                                    ( -197.45  1105.43   -78.70     1.14)  ; 5
+                                    ( -195.85  1106.01   -77.93     1.14)  ; 6
+                                    ( -192.90  1106.29   -77.30     0.91)  ; 7
+                                    ( -191.54  1106.29   -76.60     0.91)  ; 8
+                                    ( -189.95  1106.29   -75.82     0.91)  ; 9
+                                    ( -187.67  1106.58   -75.38     0.68)  ; 10
+                                    ( -185.63  1106.87   -74.53     0.91)  ; 11
+                                    ( -184.26  1106.29   -73.78     0.91)  ; 12
+                                    ( -181.54  1106.87   -72.88     0.91)  ; 13
+                                    ( -179.26  1106.87   -71.63     0.91)  ; 14
+                                    ( -176.54  1106.58   -70.82     0.91)  ; 15
+                                    ( -174.26  1106.58   -70.65     0.91)  ; 16
+                                    ( -172.22  1108.02   -69.78     0.91)  ; 17
+                                    ( -169.95  1109.17   -68.53     0.91)  ; 18
+                                    ( -169.49  1109.45   -67.22     0.91)  ; 19
+                                    ( -168.58  1109.45   -66.20     0.91)  ; 20
+                                    ( -166.99  1109.45   -68.00     0.91)  ; 21
+                                    ( -165.40  1108.59   -67.17     0.91)  ; 22
+                                    ( -164.49  1108.02   -66.43     0.91)  ; 23
+                                    ( -163.35  1107.73   -65.90     0.91)  ; 24
+                                    ( -162.22  1107.73   -64.95     0.91)  ; 25
+                                    ( -161.08  1108.02   -63.90     0.91)  ; 26
+                                    ( -159.49  1109.17   -63.58     0.91)  ; 27
+                                    ( -158.70  1111.18   -62.17     0.91)  ; 28
+                                    ( -156.88  1112.33   -61.28     0.91)  ; 29
+                                    ( -155.51  1112.04   -60.83     0.91)  ; 30
+                                    ( -153.70  1113.19   -59.50     0.91)  ; 31
+                                    ( -152.33  1113.19   -58.27     0.91)  ; 32
+                                    ( -150.74  1112.61   -57.47     0.91)  ; 33
+                                    ( -148.92  1112.61   -56.40     0.91)  ; 34
+                                    ( -148.47  1113.48   -55.27     0.91)  ; 35
+                                    ( -148.92  1114.63   -54.22     0.91)  ; 36
+                                    ( -148.47  1115.78   -52.33     0.91)  ; 37
+                                    ( -148.01  1116.06   -51.72     0.91)  ; 38
+                                    ( -147.56  1116.06   -50.97     0.91)  ; 39
+                                    ( -146.20  1115.20   -50.70     0.91)  ; 40
+                                    ( -144.38  1114.91   -50.70     0.91)  ; 41
+                                    ( -143.70  1115.20   -49.50     0.91)  ; 42
+                                    ( -142.79  1115.20   -48.97     0.91)  ; 43
+                                    ( -143.47  1116.35   -47.60     0.91)  ; 44
+                                    ( -144.83  1117.50   -47.20     0.91)  ; 45
+                                    ( -145.29  1118.07   -47.08     0.91)  ; 46
+                                    ( -145.74  1119.51   -47.08     0.91)  ; 47
+                                    ( -144.83  1120.66   -47.02     0.68)  ; 48
+                                    ( -143.70  1120.37   -46.25     0.68)  ; 49
+                                    ( -142.33  1119.22   -45.10     0.91)  ; 50
+                                    ( -140.97  1119.80   -44.00     0.91)  ; 51
+                                    ( -140.29  1121.23   -43.25     1.14)  ; 52
+                                    ( -140.06  1122.96   -42.55     0.91)  ; 53
+                                    ( -140.51  1124.11   -41.57     0.91)  ; 54
+                                    ( -141.20  1124.40   -40.15     0.91)  ; 55
+                                    ( -141.88  1124.40   -39.10     0.91)  ; 56
+                                    ( -142.56  1124.11   -38.22     0.91)  ; 57
+                                    ( -143.47  1124.40   -38.25     0.91)  ; 58
+                                    ( -144.60  1123.53   -37.63     0.91)  ; 59
+                                    ( -146.65  1124.40   -37.38     0.68)  ; 60
+                                    ( -147.10  1125.54   -36.82     0.68)  ; 61
+                                    ( -147.10  1126.69   -36.38     0.68)  ; 62
+                                    ( -146.88  1128.42   -35.75     0.68)  ; 63
+                                    ( -147.33  1129.28   -34.92     0.68)  ; 64
+                                    ( -148.01  1129.85   -34.92     0.68)  ; 65
+                                    ( -147.10  1129.85   -34.92     0.45)  ; 66
+                                    ( -146.65  1131.87   -34.22     0.45)  ; 67
+                                    ( -145.74  1133.02   -33.22     0.45)  ; 68
+                                    ( -146.20  1133.59   -32.63     0.23)  ; 69
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      ( -162.22  1109.17   -67.07     0.91)  ; 1
+                                      ( -165.17  1106.58   -66.50     0.91)  ; 2
+                                      ( -164.04  1109.45   -66.72     0.91)  ; 3
+                                      ( -165.17  1109.74   -68.05     0.91)  ; 4
+                                      ( -169.95  1110.60   -67.95     0.91)  ; 5
+                                      ( -166.99  1110.32   -69.38     0.91)  ; 6
+                                      ( -169.49  1108.02   -70.13     0.91)  ; 7
+                                      ( -170.17  1107.44   -70.07     0.91)  ; 8
+                                      ( -172.22  1108.88   -72.35     0.91)  ; 9
+                                      ( -175.85  1106.01   -71.90     0.91)  ; 10
+                                      ( -181.99  1104.86   -73.42     0.91)  ; 11
+                                      ( -181.99  1108.31   -74.88     0.91)  ; 12
+                                      ( -182.90  1108.88   -76.05     0.91)  ; 13
+                                      ( -178.35  1105.14   -73.82     0.91)  ; 14
+                                      ( -179.95  1106.01   -70.72     0.91)  ; 15
+                                      ( -176.99  1105.72   -70.18     0.91)  ; 16
+                                      ( -184.04  1107.73   -75.72     0.91)  ; 17
+                                      ( -185.85  1108.02   -75.63     0.91)  ; 18
+                                      ( -187.67  1108.02   -75.82     0.91)  ; 19
+                                      ( -188.81  1108.02   -78.02     0.91)  ; 20
+                                      ( -188.13  1105.14   -75.88     0.91)  ; 21
+                                      ( -189.49  1107.44   -75.72     0.91)  ; 22
+                                      ( -189.95  1105.43   -77.42     0.91)  ; 23
+                                      ( -190.85  1108.02   -76.07     0.91)  ; 24
+                                      ( -193.35  1107.44   -78.47     0.91)  ; 25
+                                      ( -202.67  1103.71   -79.97     0.91)  ; 26
+                                      ( -200.85  1104.28   -79.60     0.91)  ; 27
+                                      ( -200.17  1102.27   -81.53     0.91)  ; 28
+                                      ( -199.26  1102.56   -81.60     0.91)  ; 29
+                                      ( -198.13  1103.42   -81.85     0.91)  ; 30
+                                      ( -159.95  1107.44   -63.20     0.91)  ; 31
+                                      ( -148.70  1129.28   -32.63     0.23)  ; 32
+                                      ( -144.60  1128.13   -38.47     0.23)  ; 33
+                                      ( -144.15  1128.71   -39.25     0.23)  ; 34
+                                      ( -144.15  1126.98   -35.83     0.23)  ; 35
+                                      ( -145.97  1125.83   -38.92     0.23)  ; 36
+                                      ( -148.24  1126.41   -38.95     0.23)  ; 37
+                                      ( -148.47  1124.68   -39.70     0.23)  ; 38
+                                      ( -145.74  1123.25   -38.65     0.23)  ; 39
+                                      ( -142.33  1125.83   -40.52     0.23)  ; 40
+                                      ( -140.97  1126.12   -42.33     0.23)  ; 41
+                                      ( -143.47  1123.25   -41.47     0.23)  ; 42
+                                      ( -141.20  1123.25   -43.42     0.23)  ; 43
+                                      ( -139.38  1124.68   -45.45     0.23)  ; 44
+                                      ( -139.15  1123.25   -44.58     0.23)  ; 45
+                                      ( -139.38  1120.95   -45.27     0.23)  ; 46
+                                      ( -140.06  1118.65   -45.25     0.23)  ; 47
+                                      ( -142.33  1120.37   -45.07     0.23)  ; 48
+                                      ( -147.56  1118.94   -46.52     0.23)  ; 49
+                                      ( -145.06  1115.49   -50.03     0.23)  ; 50
+                                      ( -143.70  1117.79   -48.20     0.23)  ; 51
+                                      ( -142.79  1117.79   -45.85     0.23)  ; 52
+                                      ( -141.88  1118.07   -53.07     0.23)  ; 53
+                                      ( -158.70  1108.31   -63.40     0.23)  ; 54
+                                      ( -159.60  1111.18   -63.13     0.23)  ; 55
+                                      ( -157.33  1111.18   -61.67     0.23)  ; 56
+                                      ( -154.83  1110.89   -60.50     0.23)  ; 57
+                                      ( -153.24  1111.75   -57.28     0.23)  ; 58
+                                      ( -151.65  1111.47   -58.65     0.23)  ; 59
+                                      ( -153.47  1114.05   -59.67     0.23)  ; 60
+                                      ( -150.06  1114.34   -57.97     0.23)  ; 61
+                                      ( -150.51  1111.75   -57.50     0.23)  ; 62
+                                      ( -148.01  1112.61   -56.38     0.23)  ; 63
+                                      ( -149.83  1116.35   -54.58     0.23)  ; 64
+                                      ( -146.20  1113.76   -52.22     0.23)  ; 65
+                                      ( -147.10  1114.05   -53.58     0.23)  ; 66
+                                      ( -146.42  1117.21   -53.75     0.23)  ; 67
+                                      ( -203.36  1100.90   -83.70     0.23)  ; 68
+                                    )  ;  End of markers
+                                     Normal
+                                  |
+                                    ( -206.09  1101.19   -81.10     0.91)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2
+                                    ( -206.31  1102.33   -81.00     0.91)  ; 2
+                                    ( -205.63  1104.06   -81.00     0.91)  ; 3
+                                    ( -205.18  1106.07   -81.00     0.91)  ; 4
+                                    ( -205.18  1107.51   -81.55     0.91)  ; 5
+                                    ( -205.18  1108.37   -81.72     0.91)  ; 6
+                                    ( -206.09  1109.23   -81.88     0.91)  ; 7
+                                    ( -207.22  1110.38   -81.90     1.14)  ; 8
+                                    ( -207.22  1110.95   -82.68     0.91)  ; 9
+                                    ( -207.22  1112.10   -82.70     0.91)  ; 10
+                                    ( -206.77  1112.39   -83.47     0.91)  ; 11
+                                    ( -205.86  1112.10   -83.67     0.91)  ; 12
+                                    ( -205.40  1112.68   -84.50     0.91)  ; 13
+                                    ( -206.54  1113.83   -85.37     0.91)  ; 14
+                                    ( -207.45  1114.69   -85.52     0.91)  ; 15
+                                    ( -206.77  1114.98   -86.17     0.91)  ; 16
+                                    ( -206.09  1115.55   -86.32     0.91)  ; 17
+                                    ( -205.63  1115.55   -87.02     0.91)  ; 18
+                                    ( -204.95  1116.13   -88.05     0.91)  ; 19
+                                    ( -204.27  1116.70   -88.38     0.91)  ; 20
+                                    ( -203.59  1116.99   -89.25     0.91)  ; 21
+                                    ( -202.22  1117.56   -90.37     0.91)  ; 22
+                                    ( -201.31  1116.99   -90.80     0.91)  ; 23
+                                    ( -202.00  1116.13   -91.55     0.91)  ; 24
+                                    ( -202.68  1116.41   -92.05     0.91)  ; 25
+                                    ( -202.90  1118.14   -94.00     0.91)  ; 26
+                                    ( -202.22  1119.29   -94.95     0.91)  ; 27
+                                    ( -203.13  1121.59   -96.90     0.91)  ; 28
+                                    ( -203.36  1123.88   -99.20     0.91)  ; 29
+                                    ( -203.13  1124.75   -99.57     0.91)  ; 30
+                                    ( -203.13  1126.76  -101.50     0.91)  ; 31
+                                    ( -204.50  1127.91  -103.63     0.91)  ; 32
+                                    ( -205.40  1129.06  -105.50     0.91)  ; 33
+                                    ( -205.86  1130.49  -107.42     0.91)  ; 34
+
+                                    (FilledCircle
+                                      (Color Yellow)
+                                      (Name "Marker 11")
+                                      ( -204.50  1124.17   -96.40     0.91)  ; 1
+                                      ( -202.00  1122.45   -94.25     0.91)  ; 2
+                                      ( -204.04  1122.74   -94.30     0.91)  ; 3
+                                      ( -204.50  1121.87   -93.95     0.91)  ; 4
+                                      ( -204.72  1118.43   -92.02     0.91)  ; 5
+                                      ( -200.63  1118.14   -91.47     0.91)  ; 6
+                                      ( -201.09  1116.41   -90.90     0.91)  ; 7
+                                      ( -203.59  1115.55   -87.60     0.91)  ; 8
+                                      ( -198.81  1116.99   -87.60     0.91)  ; 9
+                                      ( -201.54  1117.56   -87.38     0.91)  ; 10
+                                      ( -206.09  1116.13   -83.60     0.91)  ; 11
+                                      ( -208.36  1114.40   -82.87     0.91)  ; 12
+                                      ( -205.63  1113.83   -85.05     0.91)  ; 13
+                                      ( -208.36  1111.24   -80.73     0.91)  ; 14
+                                      ( -203.36  1110.09   -86.35     0.91)  ; 15
+                                      ( -205.18  1110.09   -78.35     0.91)  ; 16
+                                      ( -204.27  1109.81   -81.15     0.91)  ; 17
+                                      ( -206.09  1107.79   -77.90     0.91)  ; 18
+                                      ( -207.45  1106.36   -79.60     0.91)  ; 19
+                                      ( -206.09  1105.78   -79.65     0.91)  ; 20
+                                      ( -203.36  1106.93   -80.95     0.91)  ; 21
+                                      ( -204.04  1105.78   -80.82     0.91)  ; 22
+                                      ( -207.22  1102.05   -80.40     0.91)  ; 23
+                                      ( -204.27  1103.77   -77.15     0.91)  ; 24
+                                      ( -207.68  1100.61   -79.85     0.91)  ; 25
+                                      ( -207.00  1099.75   -79.88     0.91)  ; 26
+                                    )  ;  End of markers
+                                     Incomplete
+                                  )  ;  End of split
+                                )  ;  End of split
+                              )  ;  End of split
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  )  ;  End of split
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          )  ;  End of split
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
diff --git a/docs/tutorial/01_opt_external_models/components/synaptic_models/AMPA_ExcToExc.json b/docs/tutorial/01_opt_external_models/components/synaptic_models/AMPA_ExcToExc.json
new file mode 100755
index 00000000..c7585403
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/synaptic_models/AMPA_ExcToExc.json
@@ -0,0 +1,6 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 1.0,
+  "tau2": 3.0,
+  "erev": 0.0
+}
diff --git a/docs/tutorial/01_opt_external_models/components/synaptic_models/AMPA_ExcToInh.json b/docs/tutorial/01_opt_external_models/components/synaptic_models/AMPA_ExcToInh.json
new file mode 100755
index 00000000..43887996
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/synaptic_models/AMPA_ExcToInh.json
@@ -0,0 +1,6 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 0.1,
+  "tau2": 0.5,
+  "erev": 0.0
+}
diff --git a/docs/tutorial/01_opt_external_models/components/synaptic_models/GABA_InhToExc.json b/docs/tutorial/01_opt_external_models/components/synaptic_models/GABA_InhToExc.json
new file mode 100755
index 00000000..702ce9b4
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/synaptic_models/GABA_InhToExc.json
@@ -0,0 +1,7 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 2.7,
+  "tau2": 15.0,
+  "erev": -70.0
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/synaptic_models/GABA_InhToInh.json b/docs/tutorial/01_opt_external_models/components/synaptic_models/GABA_InhToInh.json
new file mode 100755
index 00000000..ed4130ab
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/synaptic_models/GABA_InhToInh.json
@@ -0,0 +1,7 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 0.2,
+  "tau2": 8.0,
+  "erev": -70.0
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/synaptic_models/instantaneousExc.json b/docs/tutorial/01_opt_external_models/components/synaptic_models/instantaneousExc.json
new file mode 100755
index 00000000..062e44e8
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/synaptic_models/instantaneousExc.json
@@ -0,0 +1,5 @@
+{
+  "level_of_detail": "instantaneous",
+  "sign": 1
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/synaptic_models/instantaneousInh.json b/docs/tutorial/01_opt_external_models/components/synaptic_models/instantaneousInh.json
new file mode 100755
index 00000000..1fc714cd
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/synaptic_models/instantaneousInh.json
@@ -0,0 +1,5 @@
+{
+  "level_of_detail": "instantaneous",
+  "sign": -1
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/synaptic_models/instanteneousExc.json b/docs/tutorial/01_opt_external_models/components/synaptic_models/instanteneousExc.json
new file mode 100755
index 00000000..062e44e8
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/synaptic_models/instanteneousExc.json
@@ -0,0 +1,5 @@
+{
+  "level_of_detail": "instantaneous",
+  "sign": 1
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/synaptic_models/instanteneousInh.json b/docs/tutorial/01_opt_external_models/components/synaptic_models/instanteneousInh.json
new file mode 100755
index 00000000..1fc714cd
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/synaptic_models/instanteneousInh.json
@@ -0,0 +1,5 @@
+{
+  "level_of_detail": "instantaneous",
+  "sign": -1
+}
+
diff --git a/docs/tutorial/01_opt_external_models/components/templates/Biophys.hoc b/docs/tutorial/01_opt_external_models/components/templates/Biophys.hoc
new file mode 100644
index 00000000..5eb3717d
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/templates/Biophys.hoc
@@ -0,0 +1,479 @@
+begintemplate Biophys
+
+public biophys
+
+proc biophys(){
+	// Hay lab
+	if (strcmp($s2, "HL23PN1") == 0){
+		forsec $o1.all {
+			insert pas
+			Ra = 100
+			cm = 1
+			e_pas = -80
+			g_pas = 5e-5
+			insert Ih
+			gbar_Ih = 1e-4
+		}
+		forsec $o1.somatic {
+			insert SK
+			insert CaDynamics
+			insert Ca_LVA
+			insert Ca_HVA
+			insert K_T
+			insert K_P
+			insert Kv3_1
+			insert NaTg
+			ek = -85
+			ena = 50
+			gamma_CaDynamics_E2 = 0.0005
+			vshiftm_NaTg = 13
+			vshifth_NaTg = 15
+			slopem_NaTg = 7
+		}
+
+		forsec $o1.apical {
+			cm = 2
+		}
+		forsec $o1.basal {
+			cm = 2
+		}
+		$o1.distribute_channels("apic","gbar_Ih",2,-0.8696,3.6161,0.0,2.0870,$o1.soma.gbar_Ih)
+
+		forsec $o1.axonal {
+			insert SK
+			insert Ca_LVA
+			insert Ca_HVA
+			insert K_T
+			insert K_P
+			insert Nap
+			insert Kv3_1
+			insert NaTg
+			insert CaDynamics
+			ek = -85
+			ena = 50
+			vshifth_NaTg = 10
+			slopem_NaTg = 9
+			gamma_CaDynamics_E2 = 0.0005
+		}
+
+		$o1.distribute_channels("axon","decay_CaDynamics",0,1.000000,0.000000,0.000000,0.000000,79.1000000000)
+		$o1.distribute_channels("axon","gbar_SK",0,1.000000,0.000000,0.000000,0.000000,0.0346000000)
+		$o1.distribute_channels("axon","gbar_Ca_LVA",0,1.000000,0.000000,0.000000,0.000000,0.0002120000)
+		$o1.distribute_channels("axon","gbar_Ca_HVA",0,1.000000,0.000000,0.000000,0.000000,0.0000305000)
+		$o1.distribute_channels("axon","gbar_Kv3_1",0,1.000000,0.000000,0.000000,0.000000,0.8270000000)
+		$o1.distribute_channels("axon","gbar_K_T",0,1.000000,0.000000,0.000000,0.000000,0.0900000000)
+		$o1.distribute_channels("axon","gbar_K_P",0,1.000000,0.000000,0.000000,0.000000,0.2790000000)
+		$o1.distribute_channels("axon","gbar_Nap",0,1.000000,0.000000,0.000000,0.000000,0.0013800000)
+		$o1.distribute_channels("axon","gbar_NaTg",0,1.000000,0.000000,0.000000,0.000000,0.4860000000)
+		$o1.distribute_channels("soma","decay_CaDynamics",0,1.000000,0.000000,0.000000,0.000000,510.0000000000)
+		$o1.distribute_channels("soma","gbar_Ca_LVA",0,1.000000,0.000000,0.000000,0.000000,0.0000000000)
+		$o1.distribute_channels("soma","gbar_Ca_HVA",0,1.000000,0.000000,0.000000,0.000000,0.0005640000)
+		$o1.distribute_channels("soma","gbar_Kv3_1",0,1.000000,0.000000,0.000000,0.000000,0.0635000000)
+		$o1.distribute_channels("soma","gbar_SK",0,1.000000,0.000000,0.000000,0.000000,0.0000000000)
+		$o1.distribute_channels("soma","gbar_K_T",0,1.000000,0.000000,0.000000,0.000000,0.0508000000)
+		$o1.distribute_channels("soma","gbar_K_P",0,1.000000,0.000000,0.000000,0.000000,0.0001870000)
+		$o1.distribute_channels("soma","gbar_NaTg",0,1.000000,0.000000,0.000000,0.000000,0.2390000000)
+	}
+	if (strcmp($s2, "HL23MN1") == 0){
+		forsec $o1.all {
+			insert pas
+			Ra = 133.859093627
+			cm = 1
+			e_pas = -84.73198852539
+			g_pas = 2.25e-5
+			insert Ih
+			gbar_Ih = 1.2e-4
+		}
+		forsec $o1.somatic {
+			insert SK
+			insert CaDynamics
+			insert Ca_LVA
+			insert Ca_HVA
+			insert K_T
+			insert K_P
+			insert Kv3_1
+			insert NaTg
+			ek = -85
+			ena = 50
+			gamma_CaDynamics_E2 = 0.0005
+			vshiftm_NaTg = 13
+			vshifth_NaTg = 15
+			slopem_NaTg = 7
+		}
+
+		forsec $o1.axonal {
+			insert SK
+			insert Ca_LVA
+			insert Ca_HVA
+			insert K_T
+			insert K_P
+			insert Nap
+			insert Kv3_1
+			insert NaTg
+			insert CaDynamics
+			ek = -85
+			ena = 50
+			vshifth_NaTg = 10
+			slopem_NaTg = 9
+			gamma_CaDynamics_E2 = 0.0005
+		}
+
+		$o1.distribute_channels("axon","decay_CaDynamics",0,1.000000,0.000000,0.000000,0.000000,20.0000000000)
+		$o1.distribute_channels("axon","gbar_SK",0,1.000000,0.000000,0.000000,0.000000,0.0002220000)
+		$o1.distribute_channels("axon","gbar_Ca_LVA",0,1.000000,0.000000,0.000000,0.000000,0.0329000000)
+		$o1.distribute_channels("axon","gbar_Ca_HVA",0,1.000000,0.000000,0.000000,0.000000,0.0006260000)
+		$o1.distribute_channels("axon","gbar_Kv3_1",0,1.000000,0.000000,0.000000,0.000000,0.9390000000)
+		$o1.distribute_channels("axon","gbar_K_T",0,1.000000,0.000000,0.000000,0.000000,0.0679000000)
+		$o1.distribute_channels("axon","gbar_K_P",0,1.000000,0.000000,0.000000,0.000000,0.0356000000)
+		$o1.distribute_channels("axon","gbar_Nap",0,1.000000,0.000000,0.000000,0.000000,0.0068700000)
+		$o1.distribute_channels("axon","gbar_NaTg",0,1.000000,0.000000,0.000000,0.000000,1.0000000000)
+		$o1.distribute_channels("soma","decay_CaDynamics",0,1.000000,0.000000,0.000000,0.000000,21.7000000000)
+		$o1.distribute_channels("soma","gbar_Ca_LVA",0,1.000000,0.000000,0.000000,0.000000,0.0003520000)
+		$o1.distribute_channels("soma","gbar_Ca_HVA",0,1.000000,0.000000,0.000000,0.000000,0.0073200000)
+		$o1.distribute_channels("soma","gbar_Kv3_1",0,1.000000,0.000000,0.000000,0.000000,0.7110000000)
+		$o1.distribute_channels("soma","gbar_SK",0,1.000000,0.000000,0.000000,0.000000,0.0003360000)
+		$o1.distribute_channels("soma","gbar_K_T",0,1.000000,0.000000,0.000000,0.000000,0.0402000000)
+		$o1.distribute_channels("soma","gbar_K_P",0,1.000000,0.000000,0.000000,0.000000,0.0197000000)
+		$o1.distribute_channels("soma","gbar_NaTg",0,1.000000,0.000000,0.000000,0.000000,0.2620000000)
+	}
+	// Allen ID 626170661
+	if (strcmp($s2, "HL23BN1") == 0){
+		forsec $o1.all {
+			insert pas
+			insert Ih
+			Ra = 100
+			cm = 2
+			e_pas = -83.85905159083714
+			g_pas = 0.00013276715388485768
+			gbar_Ih = 4.0286355749662496e-05
+		}
+		
+		forsec $o1.somatic {
+			insert NaTg
+			insert Nap
+			insert K_P
+			insert K_T
+			insert Kv3_1
+			insert Im
+			insert SK
+			insert Ca_HVA
+			insert Ca_LVA
+			insert CaDynamics
+			ek = -85
+			ena = 50
+			gbar_NaTg = 0.4999668678729633
+			vshiftm_NaTg = 0
+			vshifth_NaTg = 10
+			slopem_NaTg = 9
+			slopeh_NaTg = 6
+			gbar_Nap = 0.0005315169096865464
+			gbar_K_P = 0.01713385484501281
+			gbar_K_T = 0.0639088696383371
+			gbar_Kv3_1 = 2.9998799002509644
+			vshift_Kv3_1 = 0
+			gbar_Im = 0.0032868613326996676
+			gbar_SK = 2.9074984128489475e-06
+			gbar_Ca_HVA = 0.0005963580477926297
+			gbar_Ca_LVA = 0.04068051219830349
+			gamma_CaDynamics = 0.0005
+			decay_CaDynamics = 477.52284259122615
+		}
+		
+		forsec $o1.axonal {
+			insert NaTg
+			insert Nap
+			insert K_P
+			insert K_T
+			insert Kv3_1
+			insert Im
+			insert SK
+			insert Ca_HVA
+			insert Ca_LVA
+			insert CaDynamics
+			ek = -85
+			ena = 50
+			gbar_NaTg = 0.06497772772932814
+			vshiftm_NaTg = 0
+			vshifth_NaTg = 10
+			slopem_NaTg = 9
+			slopeh_NaTg = 6
+			gbar_Nap = 0.0004227598793218445
+			gbar_K_P = 0.01348368226376475
+			gbar_K_T = 0.053430438020626844
+			gbar_Kv3_1 = 0.894628255182179
+			vshift_Kv3_1 = 0
+			gbar_Im = 0.0032433844107431437
+			gbar_SK = 0.07857804528458547
+			gbar_Ca_HVA = 6.976985998831502e-05
+			gbar_Ca_LVA = 0.0026754479897141132
+			gamma_CaDynamics = 0.0005
+			decay_CaDynamics = 21.082144088397
+		}
+
+		// forsec $o1.basal {
+		// 	insert NaTg
+		// 	insert Nap
+		// 	insert K_P
+		// 	insert K_T
+		// 	insert Kv3_1
+		// 	insert Im
+		// 	insert SK
+		// 	insert Ca_HVA
+		// 	insert Ca_LVA
+		// 	insert CaDynamics
+		// }
+	}
+	if (strcmp($s2, "HL23VN1") == 0){
+		forsec $o1.all {
+			insert pas
+			insert Ih
+			Ra = 100
+			cm = 2
+			e_pas = -81.64099928563398
+			g_pas = 5.640407332265837e-05
+			gbar_Ih = 7.937538666539732e-05
+			shift1_Ih = 117.54696999889302
+			shift2_Ih = 3.460797910265395
+			shift3_Ih = -49.69676238671805
+			shift4_Ih = 58.27114333073568
+			shift5_Ih = 86.63729662000578
+			shift6_Ih = 281.49007535744454
+		}
+	
+		// forsec $o1.somatic {
+		// 	insert NaTg
+		// 	insert Nap
+		// 	insert K_P
+		// 	insert K_T
+		// 	insert Kv3_1
+		// 	insert SK
+		// 	insert Im
+		// 	insert Ca_HVA
+		// 	insert Ca_LVA
+		// 	insert CaDynamics
+		// 	ek = -85
+		// 	ena = 50
+		// 	gbar_NaTg = 0.11474659824436195
+		// 	vshiftm_NaTg = 13
+		// 	vshifth_NaTg = 15
+		// 	slopem_NaTg = 7
+		// 	slopeh_NaTg = 6
+		// 	gbar_Nap = 0.00047681727902698157
+		// 	gbar_K_P = 0.055957749184639055
+		// 	gbar_K_T = 0.09996880674736379
+		// 	gbar_Kv3_1 = 0.3788563067742772
+		// 	vshift_Kv3_1 = 0
+		// 	gbar_SK = 0.010560196535257488
+		// 	gbar_Im = 0.00034301521472746954
+		// 	gbar_Ca_HVA = 9.018554611915845e-05
+		// 	gbar_Ca_LVA = 0.0541616355609249
+		// 	gamma_CaDynamics = 0.0005
+		// 	decay_CaDynamics = 20.08804065219189
+		// }
+		//
+		// forsec $o1.axonal {
+		// 	insert NaTg
+		// 	insert Nap
+		// 	insert K_P
+		// 	insert K_T
+		// 	insert Kv3_1
+		// 	insert SK
+		// 	insert Im
+		// 	insert Ca_HVA
+		// 	insert Ca_LVA
+		// 	insert CaDynamics
+		// 	ek = -85
+		// 	ena = 50
+		// 	gbar_NaTg = 0.22734023408743798
+		// 	vshiftm_NaTg = 0
+		// 	vshifth_NaTg = 10
+		// 	slopem_NaTg = 9
+		// 	slopeh_NaTg = 6
+		// 	gbar_Nap = 0.006541044566273077
+		// 	gbar_K_P = 0.00421820957878577
+		// 	gbar_K_T = 0.037928705443776765
+		// 	gbar_Kv3_1 = 0.3196733124005582
+		// 	vshift_Kv3_1 = 0
+		// 	gbar_SK = 0.3804947699033776
+		// 	gbar_Im = 0.00017885126314180088
+		// 	gbar_Ca_HVA = 0.00024547511717151337
+		// 	gbar_Ca_LVA = 0.04299507068179599
+		// 	gamma_CaDynamics = 0.0005
+		// 	decay_CaDynamics = 25.229936800309066
+		// }
+	}
+	if (strcmp($s2, "HL4PN1") == 0){
+		forsec $o1.all {
+			insert pas
+			insert Ih
+			Ra = 100
+			cm = 1
+			e_pas = -92.20988602082443
+			g_pas = 2.496019938803455e-05
+			gbar_Ih = 3.923425401401172e-05
+			shift1_Ih = 224.81524109817627
+			shift2_Ih = 15.549405048102342
+			shift3_Ih = 51.004970487634765
+			shift4_Ih = 34.58507073356797
+			shift5_Ih = 92.39602997332304
+			shift6_Ih = 38.603169245772854
+		}
+		forsec $o1.apical {
+			cm = 1.75
+		}
+		forsec $o1.basal {
+			cm = 1.75
+		}
+		$o1.distribute_channels("apic","gbar_Ih",4,-0.8696,0.0031,0.0,2.0870,$o1.soma.gbar_Ih)
+		$o1.distribute_channels("dend","gbar_Ih",4,-0.8696,0.0031,0.0,2.0870,$o1.soma.gbar_Ih)
+		$o1.distribute_channels("axon","gbar_Ih",4,-0.8696,0.0031,0.0,2.0870,$o1.soma.gbar_Ih)
+
+		forsec $o1.somatic {
+			insert NaTg
+			insert Nap
+			insert K_P
+			insert K_T
+			insert Kv3_1
+			insert SK
+			insert Im
+			insert Ca_HVA
+			insert Ca_LVA
+			insert CaDynamics
+			ek = -85
+			ena = 50
+			gbar_NaTg = 0.45162251179862545
+			vshiftm_NaTg = 0
+			vshifth_NaTg = 10
+			slopem_NaTg = 9
+			slopeh_NaTg = 6
+			gbar_Nap = 0.0015800320564183347
+			gbar_K_P = 0.09857157410308227
+			gbar_K_T = 0.00022137399530109607
+			gbar_Kv3_1 = 0.277107453007135
+			vshift_Kv3_1 = 0
+			gbar_SK = 0.3566622775104453
+			gbar_Im = 0.0002993987916613973
+			gbar_Ca_HVA = 1.1501967667916403e-08
+			gbar_Ca_LVA = 0.004357365263342773
+			gamma_CaDynamics = 0.0005
+			decay_CaDynamics = 435.1670601322996
+		}
+		
+		forsec $o1.axonal {
+			insert NaTg
+			insert Nap
+			insert K_P
+			insert K_T
+			insert Kv3_1
+			insert SK
+			insert Im
+			insert Ca_HVA
+			insert Ca_LVA
+			insert CaDynamics
+			ek = -85
+			ena = 50
+			gbar_NaTg = 0.032257472930859954
+			vshiftm_NaTg = 0
+			vshifth_NaTg = 10
+			slopem_NaTg = 9
+			slopeh_NaTg = 6
+			gbar_Nap = 0.0006895353184589968
+			gbar_K_P = 0.08697896141698211
+			gbar_K_T = 0.04046361467898627
+			gbar_Kv3_1 = 0.7886318280246498
+			vshift_Kv3_1 = 0
+			gbar_SK = 0.00157409272881637
+			gbar_Im = 0.00022399456776878458
+			gbar_Ca_HVA = 1.1973335394266724e-05
+			gbar_Ca_LVA = 0.06346837616023718
+			gamma_CaDynamics = 0.0005
+			decay_CaDynamics = 134.26668638182747
+		}
+	}
+	
+	if (strcmp($s2, "HL5PN1") == 0){
+		forsec $o1.all {
+			insert pas
+			insert Ih
+			Ra = 100
+			cm = 0.9
+			e_pas = -88.05900508094575
+			g_pas = 1.082202245504852e-06
+			gbar_Ih = 1.737556184697235e-05
+			shift1_Ih = 144.76545935424588
+			shift2_Ih = 14.382865335237211
+			shift3_Ih = -28.179477866349245
+			shift4_Ih = 99.18311385307702
+			shift5_Ih = 16.42000098505615
+			shift6_Ih = 26.699880497099517
+		}
+		$o1.distribute_channels("apic","gbar_Ih",5,0.5,24,950,-285,$o1.soma.gbar_Ih)
+		$o1.distribute_channels("dend","gbar_Ih",5,0.5,24,950,-285,$o1.soma.gbar_Ih)
+		$o1.distribute_channels("axon","gbar_Ih",5,0.5,24,950,-285,$o1.soma.gbar_Ih)
+
+		forsec $o1.somatic {
+			insert NaTg
+			insert Nap
+			insert K_P
+			insert K_T
+			insert Kv3_1
+			insert SK
+			insert Im
+			insert Ca_HVA
+			insert Ca_LVA
+			insert CaDynamics
+			ek = -85
+			ena = 50
+			gbar_NaTg = 0.2868981428991897
+			vshiftm_NaTg = 0
+			vshifth_NaTg = 10
+			slopem_NaTg = 9
+			slopeh_NaTg = 6
+			gbar_Nap = 0.0005928501660669944
+			gbar_K_P = 0.630442269948701
+			gbar_K_T = 0.7534865864927842
+			gbar_Kv3_1 = 0.4595039202419757
+			vshift_Kv3_1 = 0
+			gbar_SK = 1.0429209585502295
+			gbar_Im = 0.00043980640140570256
+			gbar_Ca_HVA = 4.590237477358571e-06
+			gbar_Ca_LVA = 0.004922323805158312
+			gamma_CaDynamics = 0.0005
+			decay_CaDynamics = 424.5119756515562
+		}
+		
+		forsec $o1.axonal {
+			insert NaTg
+			insert Nap
+			insert K_P
+			insert K_T
+			insert Kv3_1
+			insert SK
+			insert Im
+			insert Ca_HVA
+			insert Ca_LVA
+			insert CaDynamics
+			ek = -85
+			ena = 50
+			gbar_NaTg = 0.0020817650993738114
+			vshiftm_NaTg = 0
+			vshifth_NaTg = 10
+			slopem_NaTg = 9
+			slopeh_NaTg = 6
+			gbar_Nap = 0.0030669969011709527
+			gbar_K_P = 0.10640803057846296
+			gbar_K_T = 0.6887341085216281
+			gbar_Kv3_1 = 1.4723945773672162
+			vshift_Kv3_1 = 0
+			gbar_SK = 0.018607376942477858
+			gbar_Im = 5.422509445418661e-06
+			gbar_Ca_HVA = 6.899898046124077e-06
+			gbar_Ca_LVA = 0.007967297071061932
+			gamma_CaDynamics = 0.0005
+			decay_CaDynamics = 447.5127627121552
+		}
+	}
+}
+
+
+endtemplate Biophys
diff --git a/docs/tutorial/01_opt_external_models/components/templates/HNTemplate.hoc b/docs/tutorial/01_opt_external_models/components/templates/HNTemplate.hoc
new file mode 100644
index 00000000..edf40ba0
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/templates/HNTemplate.hoc
@@ -0,0 +1,506 @@
+begintemplate HNTemplate
+
+public init, delete_axon, insertChannel, distribute, geom_nseg, geom_nsec
+public set_parameters, locateSites, getLongestBranch, distribute_channels
+public distributeSyn, connect2target, createArtificialSyn, InitConnections
+public initRand, indexSections, cell_name
+public all, apical, basal, somatic, axonal,  nSecAll, nSecSoma, nSecApical, nSecBasal, cell_name
+public soma, dend, apic, axon, myelin, rList, cons, synlist, OUprocess, fih, rslist
+public position, xoffset, yoffset, zoffset, xloc, yloc, zloc, diamval
+
+objref synlist, cons, rList, rd1, sref, this, segCounts, sf, OUprocess, fih, rslist
+objref all, somatic, apical, axonal, basal
+strdef tstr, cell_name
+
+proc init() { localobj nl,imprt, bp
+	all     = new SectionList()
+		somatic = new SectionList()
+		basal   = new SectionList()
+		apical  = new SectionList()
+		axonal  = new SectionList()
+		forall delete_section()
+	cell_name = $s2
+	stimThreshold = 0
+	synlist = new List()
+	OUprocess = new List()
+	rslist = new List()
+	cons = new List()
+
+	//load morphology
+	sf = new StringFunctions()
+	if (sf.substr($s1, ".asc") != -1){
+		nl = new Import3d_Neurolucida3()
+	} else{
+		nl = new Import3d_SWC_read()
+	}
+		nl.quiet = 1
+		nl.input($s1)
+		imprt = new Import3d_GUI(nl, 0)
+		imprt.instantiate(this)
+
+		geom_nseg()
+		// delete_axon(3,1.75,1,1)
+		delete_axon() // For plotting network shape plot only
+	bp = new Biophys()
+	bp.biophys(this, $s2)
+	initRand(1005)
+	forsec this.all {
+		if(diam == 0){
+			diam =  1
+			printf("Error : Morphology problem with section [%s] 0 diam \n", secname())
+		}
+		}
+	lengthA = 0
+	lengthB = 0
+	forsec "apic" {
+		lengthA = lengthA + L
+	}
+	forsec "dend" {
+		lengthB = lengthB + L
+	}
+	pA = lengthA/(lengthA + lengthB)
+}
+
+create soma[1], dend[1], apic[1], axon[1], myelin[1]
+
+proc geom_nseg() {local nSec, L1, L2, D1, D2, nSeg1, nSeg2
+	soma area(.5) // make sure diam reflects 3d points
+	nSec = 0
+	forsec all {
+		nseg = 1 + 2*int(L/40)
+		nSec = nSec + 1
+	}
+
+	nSecAll = nSec
+	nSec = 0
+	forsec somatic { nSec = nSec + 1}
+	nSecSoma	= 	nSec
+	nSec = 0
+	forsec apical { nSec = nSec + 1}
+	nSecApical= 	nSec
+	nSec = 0
+	forsec basal { nSec = nSec + 1}
+	nSecBasal	= 	nSec
+	nSec = 0
+	forsec axonal { nSec = nSec + 1}
+	nSecAxonalOrig = nSecAxonal	= 	nSec
+}
+
+proc delete_axon(){
+	nsec = 0
+	forsec axonal{
+		nsec = nsec + 1
+	}
+	if (nsec == 0){
+		ais_diams1 = 1
+		ais_diams2 = 1
+	} else if (nsec == 1){
+		ais_diams1 = axon[0].diam
+		ais_diams2 = axon[0].diam
+	} else {
+		ais_diams1 = axon[0].diam
+		ais_diams2 = axon[0].diam
+		soma distance(0,0.5)
+		forsec axonal{
+			if (distance(1,0.5) > 60){
+				ais_diams2 = diam
+				break
+			}
+		}
+	}
+	
+	forsec axonal{delete_section()}
+	create axon[2]
+	access axon[0]{
+		L= 30
+		nseg = 1//+2*int(L/10)
+		diam = ais_diams1
+		all.append()
+		axonal.append()
+	}
+	access axon[1]{
+		L= 30
+		nseg = 1//+2*int(L/10)
+		diam = ais_diams2
+		all.append()
+		axonal.append()
+	}
+
+	nSecAxonal = 2
+	connect axon[0](0), soma[0](1)
+	connect axon[1](0), axon[0](1)
+	access soma
+}
+
+func getLongestBranch(){local maxL,d localobj distallist,sref
+		sprint(tstr,"%s distance()",$s1)
+		execute(tstr,this)
+
+		if(0==strcmp($s1,"axon")){
+		sprint(tstr,"%s[0] distance(1)",$s1)
+		execute(tstr,this)
+		}
+
+	maxL = 0
+	d = 0
+	distallist = new SectionList()
+	forsec $s1 {
+		sref = new SectionRef()
+		if (sref.nchild==0) distallist.append()
+	}
+	forsec distallist{
+		d = distance(1)
+		if(maxL<d) maxL = d
+	}
+	// for the soma case
+	if (maxL == 0) {
+		$s1 {
+			maxL = L
+		}
+		}
+	return maxL
+}
+
+obfunc locateSites() {local maxL,site,d0,d1,siteX,i localobj vv,ll
+	ll = new List()
+
+	sprint(tstr,"%s distance()",$s1)
+	execute(tstr,this)
+
+	if(0==strcmp($s1,"axon")){
+		sprint(tstr,"%s[0] distance(1)",$s1)
+		execute(tstr,this)
+	}
+
+	maxL = getLongestBranch($s1)
+	site = $2
+	i = 0
+	forsec $s1 {
+		if (distance(0) < distance(1)) {
+			d0 = distance(0)
+			d1 = distance(1)
+		} else {
+			d1 = distance(0)
+			d0 = distance(1)
+		}
+
+		if (site <= d1 && site >= d0) {
+		siteX = (site-d0)/(d1-d0)
+		secNum = i
+		vv = new Vector()
+		ll.append(vv.append(secNum,siteX))
+		}
+		i = i+1
+	}
+	return ll
+}
+
+proc distribute_channels()	{local dist,val,base,maxLength
+	base = $8
+	soma distance()
+	maxLength = getLongestBranch($s1)
+
+	forsec $s1		{
+		if(0==strcmp($s2,"Ra")){
+			Ra = $8
+		} else {
+			for(x) {
+				if (($3==3) || ($3==4) || ($3==5)) {
+					dist = distance(x)
+				} else {
+					dist = distance(x)/maxLength
+				}
+				val = calculate_distribution($3,dist,$4,$5,$6,$7,$8)
+				sprint(tstr,"%s(%-5.10f) = %-5.10f",$s2,x,val)
+				execute(tstr)
+			}
+		}
+	}
+}
+
+// $1 is the distribution type:
+//     0 linear, 1 sigmoid, 2 exponential
+//     3 step for absolute distance (in microns)
+//		 4 exponential with absolute distance (compatible with bluepyopt)
+//		 5 sigmoidal with absolute distance
+func calculate_distribution()	{local value
+	if ($1==0)	{value = $3 + $2*$4}
+	if ($1==1) {value = $3 + ($4/(1+exp(($2-$5)/$6)))}
+	if ($1==2) {value = $3 + $6*exp($4*($2-$5))}
+	if ($1==3) {
+		if (($2 > $5) && ($2 < $6)) {
+			value = $3
+		} else {
+			value = $4
+		}
+	}
+	if ($1==4) {value = $3 + $6*exp($4*($2-$5))}
+	if ($1==5) {value = $3 + ($4/(1+exp(($2-$5)/$6)))}
+	value = value*$7
+	return value
+}
+
+// shift cell location - Random
+// proc position(){ local i
+// 	xoffset = rd1.repick()*600 - 300 //int($1/10)*60 - 300// Option for grid placement
+// 	yoffset = rd1.repick()*600 - 300 //($1%10)*60 - 300// Option for grid placement
+// 	zoffset = 0
+// 	// Find first coordinate to first subtract it to a somatic coordinate of (0,0,0)
+// 	soma x = x3d(0)
+// 	soma y = y3d(0)
+// 	soma z = z3d(0)
+// 	soma for i=0,n3d()-1 {
+// 		// fprint("\nCoordinates: (%g,%g,%g)",x3d(i), y3d(i), z3d(i))
+// 		xloc = x3d(i)+xoffset-x
+// 		yloc = y3d(i)+yoffset-y
+// 		zloc = z3d(i)+zoffset-z
+// 		diamval = diam3d(i)
+// 		pt3dchange(i, xloc, yloc, zloc, diamval)
+// 	}
+// 	define_shape() // shifts all the other sections in line with somatic section
+// }
+
+// Shift Cell Location - Manual
+
+proc position() { local i
+	soma for i = 0, n3d()-1 { // ith point of number of 3d locations stored in the currently accessed section
+		pt3dchange(i, $1+x3d(i), $2+y3d(i), $3+z3d(i), diam3d(i)) // Change the ith 3-d point info, Returns the x/y/z coordinate of the ith point in the 3-d list of the currently accessed section.
+	}
+	define_shape()
+}
+// pt3dstyle() // use if visualization gets wee-woo
+
+
+//========================================================================================
+//============================== synapse related functions ===============================
+//========================================================================================
+
+// $1 some number that is function of the cell index
+// Have each cell with unique sites, but certain portion of inputs identical to root cell
+proc initRand() {
+	rList = new List() //for stochastic synapses
+	rd1 = new Random($1) // unique to this cell
+	rd1.uniform(0,1)
+}
+
+proc connect2target() { //$o1 target point process, $o2 returned NetCon
+	soma $o2 = new NetCon(&v(1), $o1)
+	$o2.threshold = -30
+}
+
+double siteVec[2]
+proc createArtificialSyn() {local sitenum,OUni,i localobj sl
+	strdef treename,cmd2
+	PYR = $2
+	for(i=0;i<10;i+=1){
+
+		if (i<5){
+			treename = "dend"
+			relpos = 0.5
+			sl = locateSites(treename,relpos*getLongestBranch(treename))
+			siteVec[0] = sl.o[i].x[0]
+			siteVec[1] = sl.o[i].x[1]
+		}else{
+			if (PYR==0){
+				// If not a pyramidal cell, stop at 5 OU processes
+				break
+			}
+			treename = "apic"
+			relpos = (i-5)*0.2 + 0.1 // [0.1, 0.3, 0.5, 0.7, 0.9]
+			sl = locateSites(treename,relpos*getLongestBranch(treename))
+			sitenum = int((sl.count()-1))
+			siteVec[0] = sl.o[sitenum].x[0]
+			siteVec[1] = sl.o[sitenum].x[1]
+		}
+
+		sprint(cmd2,"access %s[siteVec[0]]",treename)
+		execute(cmd2,this)
+
+		sprint(cmd2,"%s[siteVec[0]] sref = new SectionRef()",treename)
+		execute(cmd2,this)
+
+		sref {
+			OUprocess.append(new Gfluct2(siteVec[1]))
+			OUni = OUprocess.count()-1 // OU object index
+
+			// Set OU parameters
+			OUprocess.o[OUni].E_e = 0// time constant of excitatory conductance
+			OUprocess.o[OUni].E_i = -80 // time constant of inhibitory conductance
+			OUprocess.o[OUni].g_e0 = 0.001*exp(relpos) //60 // average excitatory conductance
+			OUprocess.o[OUni].g_i0 = 0.005*exp(relpos) // average inhibitory conductance
+			OUprocess.o[OUni].tau_e = 65 // time constant of excitatory conductance
+			OUprocess.o[OUni].tau_i = 20 // time constant of inhibitory conductance
+			OUprocess.o[OUni].std_e = 0.001*exp(relpos) // standard dev of excitatory conductance
+			OUprocess.o[OUni].std_i = 0.005*exp(relpos) // standard dev of inhibitory conductance
+			// OUprocess.o[OUni].new_seed($1*10+i) // This appears to not be threadsafe
+				 rslist.append(new Random($1*10+i))
+				 rslist.o[OUni].normal(0,1)
+				 OUprocess.o[OUni].noiseFromRandom(rslist.o[OUni])
+		}
+		// fprint("\nOU Process #%g Set",$1*10+i)
+	}
+}
+
+obfunc distributeSyn() {local sitenum,syni,preconi,i localobj sl,nilstim
+	if ((strcmp($o1.cell_name, "HL23PN1") == 0)){
+		EsynConductance = 0.00047
+		NsynE = 5
+		NsynI = 0
+		if ((strcmp(cell_name, "HL23MN1") == 0)){
+			EsynConductance = 0.00032
+			NsynE = 8
+			NsynI = 0
+		}
+	}
+	if (strcmp($o1.cell_name, "HL23MN1") == 0){
+		IsynConductance = 0.028
+		NsynE = 0
+		NsynI = 12
+	}
+	strdef treename,cmd2
+	for(i=0;i<(NsynE+NsynI);i+=1){
+		if (rd1.repick()<pA){
+			treename = "apic"
+		} else {
+			treename = "dend"
+		}
+		if (strcmp($o1.cell_name, "HL23MN1") == 0){
+			treename = "apic"
+		}
+		sl = locateSites(treename,rd1.repick()*getLongestBranch(treename))
+
+		sitenum = int((sl.count()-1)*rd1.repick())
+		siteVec[0] = sl.o[sitenum].x[0]
+		siteVec[1] = sl.o[sitenum].x[1]
+		//print siteVec[0]
+
+		sprint(cmd2,"access %s[siteVec[0]]",treename)
+		execute(cmd2,this)
+		sprint(cmd2,"%s[siteVec[0]] sref = new SectionRef()",treename)
+		execute(cmd2,this)
+
+		if (i<NsynE){
+			sref {
+				synlist.append(new ProbAMPANMDA2(siteVec[1]))
+				syni = synlist.count()-1 //synapse index
+				rList.append(new Random(int(1000000*rd1.repick())))
+				rList.o[syni].negexp(1)
+				synlist.o[syni].setRNG(rList.o[syni])
+				synlist.o[syni].tau_r_AMPA = 0.3
+				synlist.o[syni].tau_d_AMPA = 3
+				synlist.o[syni].tau_r_NMDA = 2
+				synlist.o[syni].tau_d_NMDA = 65
+				synlist.o[syni].e = 0
+				synlist.o[syni].Dep = 25
+				synlist.o[syni].Fac = 100
+				synlist.o[syni].Use = 0.6
+				synlist.o[syni].u0 = 0
+				synlist.o[syni].gmax = EsynConductance
+
+				access $o1.soma
+				$o1.cons.append(new NetCon(&v(1), synlist.o[syni]))
+				preconi = $o1.cons.count()-1 //connection index
+				$o1.cons.o[preconi].threshold = $2
+				$o1.cons.o[preconi].delay = $3
+				$o1.cons.o[preconi].weight = $4
+			}
+		} else {
+			sref {
+				synlist.append(new ProbUDFsyn2(siteVec[1]))
+				syni = synlist.count()-1 //synapse index
+				rList.append(new Random(int(1000000*rd1.repick())))
+				rList.o[syni].negexp(1)
+				synlist.o[syni].setRNG(rList.o[syni])
+				synlist.o[syni].tau_r = 1
+				synlist.o[syni].tau_d = 2
+				synlist.o[syni].e = -80
+				synlist.o[syni].Dep = 100
+				synlist.o[syni].Fac = 0
+				synlist.o[syni].Use = 0.25
+				synlist.o[syni].u0 = 0
+				synlist.o[syni].gmax = IsynConductance
+
+				access $o1.soma
+				$o1.cons.append(new NetCon(&v(1), synlist.o[syni]))
+				preconi = $o1.cons.count()-1 //connection index
+				$o1.cons.o[preconi].threshold = $2
+				$o1.cons.o[preconi].delay = $3
+				$o1.cons.o[preconi].weight = $4
+			}
+		}
+	}
+	return synlist
+}
+
+double siteVec[2]
+proc InitConnections(){local sitenum,syni,jj,preconi localobj sl, nilstim
+	strdef cmd2,treename,SynType,Target
+
+	NumSyns = $1
+	SynType = $s2
+	Target = $s3
+	synConductance = $4
+
+	for(jj=0;jj<NumSyns;jj+=1){
+		if (strcmp("both",Target)==0){
+			if (rd1.repick()<pA){
+				treename = "apic"
+			} else {
+				treename = "dend"
+			}
+		} else {
+			treename = Target
+		}
+
+		sl = locateSites(treename,rd1.repick()*getLongestBranch(treename))
+
+		sitenum = int((sl.count()-1)*rd1.repick())
+		siteVec[0] = sl.o[sitenum].x[0]
+		siteVec[1] = sl.o[sitenum].x[1]
+
+		sprint(cmd2,"access %s[siteVec[0]]",treename)
+		execute(cmd2,this)
+
+		sprint(cmd2,"%s[siteVec[0]] sref = new SectionRef()",treename)
+		execute(cmd2,this)
+
+		if (strcmp("E",SynType)==0){
+			sref {
+				synlist.append(new ProbAMPANMDA2(siteVec[1]))
+				syni = synlist.count()-1 //synapse index
+				rslist.append(new Random(int(1000000*rd1.repick())))
+				rslist.o[syni].negexp(1)
+				synlist.o[syni].setRNG(rslist.o[syni])
+				synlist.o[syni].tau_r_AMPA = 0.3
+				synlist.o[syni].tau_d_AMPA = 3
+				synlist.o[syni].tau_r_NMDA = 2
+				synlist.o[syni].tau_d_NMDA = 65
+				synlist.o[syni].e = 0
+				synlist.o[syni].Dep = 670
+				synlist.o[syni].Fac = 17
+				synlist.o[syni].Use = 0.46
+				synlist.o[syni].u0 = 0
+				synlist.o[syni].gmax = synConductance
+			}
+		}
+		if  (strcmp("I",SynType)==0){
+			sref {
+				synlist.append(new ProbUDFsyn2(siteVec[1]))
+				syni = synlist.count()-1 //synapse index
+				rslist.append(new Random(int(1000000*rd1.repick())))
+				rslist.o[syni].negexp(1)
+				synlist.o[syni].setRNG(rslist.o[syni])
+				synlist.o[syni].tau_r = 1
+				synlist.o[syni].tau_d = 20
+				synlist.o[syni].e = -80
+				synlist.o[syni].Dep = 100
+				synlist.o[syni].Fac = 0
+				synlist.o[syni].Use = 0.25
+				synlist.o[syni].u0 = 0
+				synlist.o[syni].gmax = synConductance
+			}
+		}
+	}
+}
+
+endtemplate HNTemplate
diff --git a/docs/tutorial/01_opt_external_models/components/templates/L5PCbiophys4.hoc b/docs/tutorial/01_opt_external_models/components/templates/L5PCbiophys4.hoc
new file mode 100755
index 00000000..c4dba5af
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/templates/L5PCbiophys4.hoc
@@ -0,0 +1,106 @@
+// Author: Etay Hay, 2011
+//    Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of
+//    Dendritic and Perisomatic Active Properties
+//    (Hay et al., PLoS Computational Biology, 2011) 
+//
+// Model of L5 Pyramidal Cell, constrained both for BAC firing and Current Step Firing
+//    with AP initiation in the axon
+
+
+begintemplate L5PCbiophys
+public biophys
+
+proc biophys() {
+	forsec $o1.all {
+	  insert pas
+		cm = 1
+		Ra = 100
+		e_pas = -90
+	}
+
+  forsec $o1.axonal {
+  	insert Im 
+  	insert Ca_LVAst 
+  	insert Ca_HVA
+  	insert CaDynamics_E2 
+  	insert SKv3_1 
+  	insert SK_E2 
+  	insert K_Tst 
+  	insert K_Pst 
+  	insert Nap_Et2 
+  	insert NaTa_t 
+		ek = -85
+		ena = 50
+    insert Ih
+  	gbar_Ih = 0.0001 
+		g_pas = 3e-5
+  	gImbar_Im = 0.013322 
+  	decay_CaDynamics_E2 = 277.300774 
+  	gamma_CaDynamics_E2 = 0.000525 
+  	gCa_LVAstbar_Ca_LVAst = 0.000813 
+  	gCa_HVAbar_Ca_HVA = 0.000222 
+  	gSKv3_1bar_SKv3_1 = 0.473799 
+  	gSK_E2bar_SK_E2 = 0.000047 
+  	gK_Tstbar_K_Tst = 0.077274 
+  	gK_Pstbar_K_Pst = 0.188851 
+  	gNap_Et2bar_Nap_Et2 = 0.005834 
+  	gNaTa_tbar_NaTa_t = 3.89618 
+	}
+
+  forsec $o1.somatic {
+  	insert Im 
+  	insert Ca_LVAst 
+  	insert Ca_HVA
+  	insert CaDynamics_E2 
+  	insert SK_E2 
+  	insert SKv3_1 
+  	insert NaTs2_t 
+		ek = -85
+		ena = 50
+    insert Ih
+  	gbar_Ih = 0.0001 
+		g_pas = 3e-5
+  	gImbar_Im = 0.000008 
+  	decay_CaDynamics_E2 = 294.679571 
+  	gamma_CaDynamics_E2 = 0.000509 
+  	gCa_LVAstbar_Ca_LVAst = 0.000557 
+  	gCa_HVAbar_Ca_HVA = 0.000644 
+  	gSK_E2bar_SK_E2 = 0.09965 
+  	gSKv3_1bar_SKv3_1 = 0.338029 
+  	gNaTs2_tbar_NaTs2_t = 0.998912 
+  }
+
+	forsec $o1.apical {
+    insert CaDynamics_E2 
+  	insert SK_E2 
+  	insert Ca_LVAst 
+  	insert Ca_HVA 
+  	insert SKv3_1 
+  	insert NaTs2_t 
+  	insert Im 
+    insert Ih
+		ek = -85
+		ena = 50
+		cm = 2
+		g_pas = 6e-5
+  	decay_CaDynamics_E2 = 35.725651 
+  	gamma_CaDynamics_E2 = 0.000637 
+  	gSK_E2bar_SK_E2 = 0.000002 
+  	gCa_HVAbar_Ca_HVA = 0.000701 
+  	gSKv3_1bar_SKv3_1 = 0.001808 
+  	gNaTs2_tbar_NaTs2_t = 0.021489 
+  	gImbar_Im = 0.00099 
+	}
+
+	$o1.distribute_channels("apic","gbar_Ih",2,-0.8696,3.6161,0.0,2.0870,0.00010000000) 
+  $o1.distribute_channels("apic","gCa_LVAstbar_Ca_LVAst",3,1.000000,0.010000,700.000000,900.000000,0.1419540000) 
+	
+  forsec $o1.basal {
+    insert Ih
+  	gbar_Ih = 0.0001 
+		cm = 2
+		g_pas = 6e-5
+	}
+}
+
+endtemplate L5PCbiophys
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/components/templates/L5PCtemplate.hoc b/docs/tutorial/01_opt_external_models/components/templates/L5PCtemplate.hoc
new file mode 100755
index 00000000..de074d34
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/components/templates/L5PCtemplate.hoc
@@ -0,0 +1,246 @@
+// Author: Etay Hay, 2011
+//    Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of
+//    Dendritic and Perisomatic Active Properties
+//    (Hay et al., PLoS Computational Biology, 2011) 
+//
+// Template for models of L5 Pyramidal Cell
+
+begintemplate L5PCtemplate
+  public init
+  public locateSites, getLongestBranch
+  public soma, dend, apic, axon, getAbsSecIndex
+  public all, somatic, apical, axonal, basal, nSecSoma, nSecApical, nSecBasal, nSecAxonal, nSecAll, nSecAxonalOrig, SecSyn, distribute_channels
+  objref SecSyn, this
+  objref all, somatic, apical, axonal, basal
+  strdef tstr
+
+//$s1 - morphology file name
+proc init() {localobj nl,import
+	all = new SectionList()
+	somatic = new SectionList()
+	basal = new SectionList()
+	apical = new SectionList()
+	axonal = new SectionList()
+	forall delete_section()
+
+  nl = new Import3d_Neurolucida3()
+  nl.quiet = 1
+  nl.input($s1)
+  import = new Import3d_GUI(nl, 0)
+  import.instantiate(this)
+  geom_nseg()
+  biophys()
+	forsec this.all {
+		if(diam == 0){
+	    diam =  1
+	    printf("Error : Morphology problem with section [%s] 0 diam \n", secname())
+		}
+  }
+}
+
+create soma[1], dend[1], apic[1], axon[1]
+
+proc geom() {
+}
+
+proc geom_nseg() {local nSec, L1, L2, D1, D2, nSeg1, nSeg2
+  soma area(.5) // make sure diam reflects 3d points
+  nSec = 0
+  forsec all {
+    nseg = 1 + 2*int(L/40)
+    nSec = nSec + 1
+  }
+
+  nSecAll = nSec
+  nSec = 0
+  forsec somatic { nSec = nSec + 1}
+  nSecSoma	= 	nSec
+  nSec = 0
+  forsec apical { nSec = nSec + 1}
+  nSecApical= 	nSec
+  nSec = 0
+  forsec basal { nSec = nSec + 1}
+  nSecBasal	= 	nSec
+  nSec = 0
+  forsec axonal { nSec = nSec + 1}
+  nSecAxonalOrig = nSecAxonal	= 	nSec
+}
+
+proc biophys() {localobj bp
+	delete_axon()
+	area(0.5)
+	distance()
+	access soma
+
+  bp = new L5PCbiophys()
+  bp.biophys(this)
+}
+
+// deleting axon, keeping only first 60 micrometers
+proc delete_axon(){
+    forsec axonal{delete_section()}
+    create axon[2]
+    access axon[0]{
+      L= 30
+      diam = 1
+      nseg = 1+2*int(L/40)
+      all.append()
+      axonal.append()
+    }
+    access axon[1]{
+      L= 30
+      diam = 1
+      nseg = 1+2*int(L/40)
+      all.append()
+      axonal.append()
+    }
+
+  nSecAxonal = 2
+  connect axon(0), soma(0.5)
+  connect axon[1](0), axon[0](1) 
+  access soma
+}
+
+proc distribute_channels()	{local dist,val,base,maxLength
+	base = $8
+	soma distance()
+	maxLength = getLongestBranch($s1)
+
+	forsec $s1		{
+		if(0==strcmp($s2,"Ra")){
+			Ra = $8
+		} else {
+			for(x) {
+				if ($3==3) {
+					dist = distance(x)
+				} else {
+					dist = distance(x)/maxLength
+				}
+				val = calculate_distribution($3,dist,$4,$5,$6,$7,$8)
+				sprint(tstr,"%s(%-5.10f) = %-5.10f",$s2,x,val)
+				execute(tstr)
+			}
+		}
+	}
+}
+
+// $1 is the distribution type:
+//     0 linear, 1 sigmoid, 2 exponential
+//     3 step for absolute distance (in microns)
+func calculate_distribution()	{local value
+	if ($1==0)	{value = $3 + $2*$4}
+	if ($1==1) {value = $3 + ($4/(1+exp(($2-$5)/$6)))}
+  	if ($1==2) {value = $3 + $6*exp($4*($2-$5))}
+	if ($1==3) {
+		if (($2 > $5) && ($2 < $6)) {
+			value = $3
+		} else {
+			value = $4
+		}
+	}
+	value = value*$7
+	return value
+}
+
+// $s1 section
+func getLongestBranch(){local maxL,d localobj distallist,sref
+    sprint(tstr,"%s distance()",$s1)
+    execute(tstr,this)    
+    
+  	if(0==strcmp($s1,"axon")){
+      sprint(tstr,"%s[0] distance(1)",$s1)
+      execute(tstr,this)    
+  	}
+
+		maxL = 0
+		d = 0
+		distallist = new SectionList()
+		forsec $s1 {
+			sref = new SectionRef()
+			if (sref.nchild==0) distallist.append()
+		}
+		forsec distallist{
+			d = distance(1)
+			if(maxL<d) maxL = d
+		}
+		// for the soma case
+		if (maxL == 0) {
+      $s1 {
+        maxL = L
+      }
+    }
+		return maxL
+	}
+
+// $s1 section
+// $2 distance x in micrometers
+// return list of [1,2] vectors  - of the appropriate section and the location in each vector
+obfunc locateSites() {local maxL,site,d0,d1,siteX,i localobj vv,ll
+	ll = new List()
+
+  sprint(tstr,"%s distance()",$s1)
+  execute(tstr,this)    
+    
+	if(0==strcmp($s1,"axon")){
+    sprint(tstr,"%s[0] distance(1)",$s1)
+    execute(tstr,this)    
+	}
+
+	maxL = getLongestBranch($s1)
+	site = $2
+	i = 0
+	forsec $s1 {
+    if (distance(0) < distance(1)) {
+  		d0 = distance(0)
+  		d1 = distance(1)
+  	} else {
+  		d1 = distance(0)
+  		d0 = distance(1)
+  	}
+
+    if (site <= d1 && site >= d0) {
+      siteX = (site-d0)/(d1-d0)
+      secNum = i
+      vv = new Vector()
+      ll.append(vv.append(secNum,siteX))
+		}
+		i = i+1
+	}
+  return ll
+}
+
+func getAbsSecIndex(){ local nAbsInd, index  localobj str,strObj
+    strObj  =  new StringFunctions()
+    str     =  new String()
+    nAbsInd = 0
+    index   = 0
+    if(strObj.substr($s1, "soma") > 0) {
+        strObj.tail($s1, "soma", str.s)
+        if(sscanf(str.s, "%*c%d", &index) < 0) {
+            index = 0
+        }
+        nAbsInd = index
+    }else if (strObj.substr($s1, "axon") >0) {
+        strObj.tail($s1, "axon", str.s)
+        if(sscanf(str.s, "%*c%d", &index) < 0) {
+            index = 0
+        }
+        nAbsInd = nSecSoma + index
+    }else if (strObj.substr($s1, "dend") >0) {
+        strObj.tail($s1, "dend", str.s)
+        if(sscanf(str.s, "%*c%d", &index) < 0) {
+            index = 0
+        }
+        nAbsInd = nSecSoma + nSecAxonalOrig + index
+    }else if (strObj.substr($s1, "apic") > 0) {
+        strObj.tail($s1, "apic", str.s)
+        if(sscanf(str.s, "%*c%d", &index) < 0) {
+            index = 0
+        }
+        nAbsInd = nSecSoma + nSecAxonalOrig + nSecBasal + index
+    }
+    return nAbsInd
+}
+
+
+endtemplate L5PCtemplate
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/config.L5.json b/docs/tutorial/01_opt_external_models/config.L5.json
new file mode 100755
index 00000000..0c218e8d
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/config.L5.json
@@ -0,0 +1,70 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_L5",
+    "$NETWORK_DIR": "$BASE_DIR/network_L5",
+    "$COMPONENTS_DIR": "$BASE_DIR/components"
+  },
+  "target_simulator": "NEURON",
+  "run": {
+    "tstart": 0.0,
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15.0,
+    "nsteps_block": 5000
+  },
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80.0
+  },
+  "inputs": {
+    "virt_exc_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$BASE_DIR/inputs/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+  "components": {
+    "filter_models_dir": "$COMPONENTS_DIR/filter_models",
+    "templates_dir": ["$COMPONENTS_DIR/templates/L5PCbiophys4.hoc", "$COMPONENTS_DIR/templates/L5PCtemplate.hoc"],
+    "biophysical_neuron_models_dir": "$COMPONENTS_DIR/biophysical_neuron_models",
+    "mechanisms_dir": "$COMPONENTS_DIR/mechanisms",
+    "synaptic_models_dir": "$COMPONENTS_DIR/synaptic_models",
+    "morphologies_dir": "$COMPONENTS_DIR/morphologies",
+    "point_neuron_models_dir": "$COMPONENTS_DIR/point_neuron_models"
+  },
+  "output": {
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+  "reports": {
+    "v_report": {
+      "variable_name": "v",
+      "cells": "all",
+      "module": "membrane_report",
+      "sections": "soma"
+    }
+  },
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/L5_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/L5_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edge_types_file": "$NETWORK_DIR/virt_exc_L5_edge_types.csv",
+        "edges_file": "$NETWORK_DIR/virt_exc_L5_edges.h5"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/config.L5_updated.json b/docs/tutorial/01_opt_external_models/config.L5_updated.json
new file mode 100755
index 00000000..aabab93b
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/config.L5_updated.json
@@ -0,0 +1,75 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_L5_updated",
+    "$NETWORK_DIR": "$BASE_DIR/network_L5_updated",
+    "$COMPONENTS_DIR": "$BASE_DIR/components"
+  },
+  "target_simulator": "NEURON",
+  "run": {
+    "tstart": 0.0,
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15.0,
+    "nsteps_block": 5000
+  },
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80.0
+  },
+  "inputs": {
+    "virt_exc_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$BASE_DIR/inputs/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+  "components": {
+    "filter_models_dir": "$COMPONENTS_DIR/filter_models",
+    "templates_dir": [
+      "$COMPONENTS_DIR/templates/L5PCbiophys4.hoc", 
+      "$COMPONENTS_DIR/templates/Biophys.hoc", 
+      "$COMPONENTS_DIR/templates/HNTemplate.hoc", 
+      "$COMPONENTS_DIR/templates/L5PCtemplate.hoc"
+    ],
+    "biophysical_neuron_models_dir": "$COMPONENTS_DIR/biophysical_neuron_models",
+    "mechanisms_dir": "$COMPONENTS_DIR/mechanisms",
+    "synaptic_models_dir": "$COMPONENTS_DIR/synaptic_models",
+    "morphologies_dir": "$COMPONENTS_DIR/morphologies",
+    "point_neuron_models_dir": "$COMPONENTS_DIR/point_neuron_models"
+  },
+  "output": {
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+  "reports": {
+    "v_report": {
+      "variable_name": "v",
+      "cells": "all",
+      "module": "membrane_report",
+      "sections": "soma"
+    }
+  },
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/L5_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/L5_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edge_types_file": "$NETWORK_DIR/virt_exc_L5_edge_types.csv",
+        "edges_file": "$NETWORK_DIR/virt_exc_L5_edges.h5"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/config.added_channels.json b/docs/tutorial/01_opt_external_models/config.added_channels.json
new file mode 100755
index 00000000..e12a460c
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/config.added_channels.json
@@ -0,0 +1,70 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_added_channels",
+    "$NETWORK_DIR": "$BASE_DIR/network_added_channels",
+    "$COMPONENTS_DIR": "$BASE_DIR/components"
+  },
+  "target_simulator": "NEURON",
+  "run": {
+    "tstart": 0.0,
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15.0,
+    "nsteps_block": 5000
+  },
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80.0
+  },
+  "inputs": {
+    "virt_exc_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$BASE_DIR/inputs/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+  "components": {
+    "filter_models_dir": "$COMPONENTS_DIR/filter_models",
+    "templates_dir": "$COMPONENTS_DIR/templates",
+    "biophysical_neuron_models_dir": "$COMPONENTS_DIR/biophysical_neuron_models",
+    "mechanisms_dir": ["$COMPONENTS_DIR/mechanisms", "$COMPONENTS_DIR/dLGN_mechanisms"],
+    "synaptic_models_dir": "$COMPONENTS_DIR/synaptic_models",
+    "morphologies_dir": "$COMPONENTS_DIR/morphologies",
+    "point_neuron_models_dir": "$COMPONENTS_DIR/point_neuron_models"
+  },
+  "output": {
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+  "reports": {
+    "v_report": {
+      "variable_name": "v",
+      "cells": "all",
+      "module": "membrane_report",
+      "sections": "soma"
+    }
+  },
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/L5_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/L5_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edge_types_file": "$NETWORK_DIR/virt_exc_L5_edge_types.csv",
+        "edges_file": "$NETWORK_DIR/virt_exc_L5_edges.h5"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/config.ball_and_stick.json b/docs/tutorial/01_opt_external_models/config.ball_and_stick.json
new file mode 100755
index 00000000..2986eab7
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/config.ball_and_stick.json
@@ -0,0 +1,70 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_BAS",
+    "$NETWORK_DIR": "$BASE_DIR/network_BAS",
+    "$COMPONENTS_DIR": "$BASE_DIR/components"
+  },
+  "target_simulator": "NEURON",
+  "run": {
+    "tstart": 0.0,
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15.0,
+    "nsteps_block": 5000
+  },
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80.0
+  },
+  "inputs": {
+    "virt_exc_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$BASE_DIR/inputs/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+  "components": {
+    "filter_models_dir": "$COMPONENTS_DIR/filter_models",
+    "templates_dir": "$COMPONENTS_DIR/templates",
+    "biophysical_neuron_models_dir": "$COMPONENTS_DIR/biophysical_neuron_models",
+    "mechanisms_dir": "$COMPONENTS_DIR/mechanisms",
+    "synaptic_models_dir": "$COMPONENTS_DIR/synaptic_models",
+    "morphologies_dir": "$COMPONENTS_DIR/morphologies",
+    "point_neuron_models_dir": "$COMPONENTS_DIR/point_neuron_models"
+  },
+  "output": {
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+  "reports": {
+    "v_report": {
+      "variable_name": "v",
+      "cells": "all",
+      "module": "membrane_report",
+      "sections": "soma"
+    }
+  },
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/BAS_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/BAS_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edge_types_file": "$NETWORK_DIR/virt_exc_BAS_edge_types.csv",
+        "edges_file": "$NETWORK_DIR/virt_exc_BAS_edges.h5"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/config.modified_densities.json b/docs/tutorial/01_opt_external_models/config.modified_densities.json
new file mode 100755
index 00000000..c8e24f35
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/config.modified_densities.json
@@ -0,0 +1,70 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_modified_densities",
+    "$NETWORK_DIR": "$BASE_DIR/network_modified_densities",
+    "$COMPONENTS_DIR": "$BASE_DIR/components"
+  },
+  "target_simulator": "NEURON",
+  "run": {
+    "tstart": 0.0,
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15.0,
+    "nsteps_block": 5000
+  },
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80.0
+  },
+  "inputs": {
+    "virt_exc_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$BASE_DIR/inputs/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+  "components": {
+    "filter_models_dir": "$COMPONENTS_DIR/filter_models",
+    "templates_dir": "$COMPONENTS_DIR/templates",
+    "biophysical_neuron_models_dir": "$COMPONENTS_DIR/biophysical_neuron_models",
+    "mechanisms_dir": "$COMPONENTS_DIR/mechanisms",
+    "synaptic_models_dir": "$COMPONENTS_DIR/synaptic_models",
+    "morphologies_dir": "$COMPONENTS_DIR/morphologies",
+    "point_neuron_models_dir": "$COMPONENTS_DIR/point_neuron_models"
+  },
+  "output": {
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+  "reports": {
+    "v_report": {
+      "variable_name": "v",
+      "cells": "all",
+      "module": "membrane_report",
+      "sections": "soma"
+    }
+  },
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/L5_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/L5_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edge_types_file": "$NETWORK_DIR/virt_exc_L5_edge_types.csv",
+        "edges_file": "$NETWORK_DIR/virt_exc_L5_edges.h5"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/config.purkinje.json b/docs/tutorial/01_opt_external_models/config.purkinje.json
new file mode 100644
index 00000000..89ae7501
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/config.purkinje.json
@@ -0,0 +1,73 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_Purkinje",
+    "$INPUT_DIR": "$BASE_DIR/inputs",
+    "$NETWORK_DIR": "$BASE_DIR/network_Purkinje",
+    "$COMPONENT_DIR": "$BASE_DIR/components"
+  },
+
+  "run": {
+    "tstop": 1000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15,
+    "nsteps_block": 5000
+  },
+
+  "target_simulator":"NEURON",
+
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80
+  },
+
+  "inputs": {
+    "virt_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$INPUT_DIR/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+
+  "output":{
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv",
+    "spikes_sort_order": "time",
+    "overwrite_output_dir": true
+  },
+
+  "reports": {
+  },
+
+  "components": {
+    "morphologies_dir": "components/morphologies",
+    "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+    "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+    "biophysical_neuron_models_dir": "components/biophysical_neuron_templates",
+    "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/purkinje_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/purkinje_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+
+    "edges": [
+      {
+        "edges_file": "$NETWORK_DIR/virt_exc_purkinje_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/virt_exc_purkinje_edge_types.csv"
+      }
+    ]
+  }
+}
diff --git a/docs/tutorial/01_opt_external_models/config.with_syns.json b/docs/tutorial/01_opt_external_models/config.with_syns.json
new file mode 100755
index 00000000..73b875f5
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/config.with_syns.json
@@ -0,0 +1,70 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_syns",
+    "$NETWORK_DIR": "$BASE_DIR/network",
+    "$COMPONENTS_DIR": "$BASE_DIR/components"
+  },
+  "target_simulator": "NEURON",
+  "run": {
+    "tstart": 0.0,
+    "tstop": 3000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15.0,
+    "nsteps_block": 5000
+  },
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80.0
+  },
+  "inputs": {
+    "virt_exc_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$BASE_DIR/inputs/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+  "components": {
+    "filter_models_dir": "$COMPONENTS_DIR/filter_models",
+    "templates_dir": "$COMPONENTS_DIR/templates",
+    "biophysical_neuron_models_dir": "$COMPONENTS_DIR/biophysical_neuron_models",
+    "mechanisms_dir": "$COMPONENTS_DIR/mechanisms",
+    "synaptic_models_dir": "$COMPONENTS_DIR/synaptic_models",
+    "morphologies_dir": "$COMPONENTS_DIR/morphologies",
+    "point_neuron_models_dir": "$COMPONENTS_DIR/point_neuron_models"
+  },
+  "output": {
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+  "reports": {
+    "v_report": {
+      "variable_name": "v",
+      "cells": "all",
+      "module": "membrane_report",
+      "sections": "soma"
+    }
+  },
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/cell_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/cell_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edge_types_file": "$NETWORK_DIR/virt_exc_cell_edge_types.csv",
+        "edges_file": "$NETWORK_DIR/virt_exc_cell_edges.h5"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/01_opt_external_models/inputs/virt_exc_spikes.h5 b/docs/tutorial/01_opt_external_models/inputs/virt_exc_spikes.h5
new file mode 100755
index 00000000..8b605ad6
Binary files /dev/null and b/docs/tutorial/01_opt_external_models/inputs/virt_exc_spikes.h5 differ
diff --git a/docs/tutorial/01_opt_external_models/morphology/soma_10c.asc b/docs/tutorial/01_opt_external_models/morphology/soma_10c.asc
new file mode 100644
index 00000000..84a16bce
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/morphology/soma_10c.asc
@@ -0,0 +1,3856 @@
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+                ( -312.19  -928.75   -23.00     1.01)  ; 4
+                ( -314.09  -928.62   -23.00     1.01)  ; 5
+                ( -314.22  -928.62   -23.00     1.01)  ; 6
+                ( -314.35  -928.50   -23.00     1.01)  ; 7
+                ( -316.88  -927.48   -23.00     1.01)  ; 8
+                ( -319.16  -925.71   -23.00     1.01)  ; 9
+                (
+                  ( -320.04  -925.58   -23.00     1.01)  ; 1, R-1-1-2-1-1-1-2-1
+                  ( -320.17  -925.58   -23.00     1.01)  ; 2
+                  ( -321.69  -924.45   -23.00     1.01)  ; 3
+                  ( -322.32  -923.43   -23.00     1.01)  ; 4
+                  ( -323.46  -922.80   -23.00     1.01)  ; 5
+                   Normal
+                |
+                  ( -318.78  -924.19   -23.00     1.01)  ; 1, R-1-1-2-1-1-1-2-2
+                  ( -318.78  -921.66   -23.00     1.01)  ; 2
+                  ( -318.78  -921.03   -23.00     1.01)  ; 3
+                   Normal
+                )  ;  End of split
+              )  ;  End of split
+            |
+              ( -300.04  -932.04   -23.00     1.65)  ; 1, R-1-1-2-1-1-2
+              ( -302.95  -933.18   -23.00     1.65)  ; 2
+              (
+                ( -304.75  -932.40   -23.00     1.01)  ; 1, R-1-1-2-1-1-2-1
+                ( -307.79  -931.77   -23.00     1.01)  ; 2
+                ( -310.20  -931.77   -23.00     1.01)  ; 3
+                ( -313.62  -931.64   -23.00     1.01)  ; 4
+                ( -316.78  -931.90   -23.00     1.01)  ; 5
+                (
+                  ( -321.46  -928.98   -23.00     1.01)  ; 1, R-1-1-2-1-1-2-1-1
+                  ( -321.59  -928.98   -23.00     1.01)  ; 2
+                  ( -324.37  -926.58   -23.00     0.89)  ; 3
+                  ( -326.40  -925.06   -23.00     0.89)  ; 4
+                  ( -327.54  -924.17   -23.00     0.89)  ; 5
+                  (
+                    ( -331.21  -924.68   -23.00     0.89)  ; 1, R-1-1-2-1-1-2-1-1-1
+                    ( -332.48  -923.29   -25.75     0.89)  ; 2
+                    ( -332.73  -923.16   -25.75     0.89)  ; 3
+                    ( -334.25  -921.52   -25.75     0.89)  ; 4
+                    ( -334.25  -921.26   -25.75     0.89)  ; 5
+                    ( -334.88  -918.48   -25.75     0.89)  ; 6
+                    ( -334.88  -918.10   -25.75     0.89)  ; 7
+                    ( -335.01  -916.71   -25.75     0.89)  ; 8
+                     Normal
+                  |
+                    ( -328.81  -920.88   -23.00     0.89)  ; 1, R-1-1-2-1-1-2-1-1-2
+                    ( -328.55  -919.62   -23.00     0.89)  ; 2
+                    ( -328.43  -919.36   -23.00     0.89)  ; 3
+                    ( -327.54  -917.59   -23.00     0.89)  ; 4
+                    ( -327.41  -917.46   -23.00     0.89)  ; 5
+                    ( -323.74  -916.07   -23.00     0.89)  ; 6
+                    ( -322.22  -916.07   -23.00     0.89)  ; 7
+                     Normal
+                  )  ;  End of split
+                |
+                  ( -319.06  -932.28   -23.00     0.89)  ; 1, R-1-1-2-1-1-2-1-2
+                  ( -323.36  -932.28   -23.75     0.89)  ; 2
+                  ( -326.40  -932.53   -24.50     0.89)  ; 3
+                  ( -329.56  -933.41   -24.50     0.89)  ; 4
+                  ( -331.08  -934.81   -24.50     0.89)  ; 5
+                  ( -331.21  -934.81   -24.50     0.89)  ; 6
+                  ( -332.86  -935.44   -24.50     0.89)  ; 7
+                  ( -333.11  -935.44   -24.50     0.89)  ; 8
+                  ( -335.64  -936.07   -24.50     0.89)  ; 9
+                  (
+                    ( -337.92  -935.31   -24.50     0.89)  ; 1, R-1-1-2-1-1-2-1-2-1
+                    ( -339.56  -934.81   -24.50     0.89)  ; 2
+                    ( -339.82  -934.81   -24.50     0.89)  ; 3
+                    ( -342.60  -934.30   -24.50     0.89)  ; 4
+                    ( -344.63  -934.30   -24.50     0.89)  ; 5
+                    ( -345.01  -934.30   -24.50     0.89)  ; 6
+                    ( -347.16  -934.43   -24.50     0.89)  ; 7
+                    ( -347.54  -934.43   -24.50     0.89)  ; 8
+                    ( -349.94  -934.43   -24.50     0.89)  ; 9
+                    ( -350.20  -934.43   -24.50     0.89)  ; 10
+                    ( -350.58  -934.43   -24.50     0.89)  ; 11
+                     Normal
+                  |
+                    ( -337.92  -938.10   -24.50     0.89)  ; 1, R-1-1-2-1-1-2-1-2-2
+                    ( -339.94  -939.36   -24.50     0.89)  ; 2
+                    ( -340.07  -939.49   -24.50     0.89)  ; 3
+                    ( -341.84  -940.63   -24.50     0.89)  ; 4
+                    ( -343.74  -941.01   -24.50     0.89)  ; 5
+                    ( -343.87  -941.01   -24.50     0.89)  ; 6
+                    ( -345.26  -941.52   -24.50     0.89)  ; 7
+                    ( -346.91  -941.52   -24.50     0.89)  ; 8
+                    ( -347.03  -941.52   -24.50     0.89)  ; 9
+                    ( -348.68  -941.64   -24.50     0.89)  ; 10
+                     Normal
+                  )  ;  End of split
+                )  ;  End of split
+              |
+                ( -303.99  -933.92   -23.50     1.27)  ; 1, R-1-1-2-1-1-2-2
+                (
+                  ( -303.62  -936.58   -23.50     1.01)  ; 1, R-1-1-2-1-1-2-2-1
+                  ( -303.74  -939.11   -23.50     1.01)  ; 2
+                  ( -303.62  -941.39   -23.50     1.01)  ; 3
+                  ( -304.12  -941.39   -23.50     0.89)  ; 4
+                  (
+                    ( -306.53  -942.28   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-1
+                    ( -308.17  -943.16   -23.50     0.89)  ; 2
+                    ( -309.69  -944.93   -23.50     0.89)  ; 3
+                    ( -311.34  -946.71   -23.50     0.89)  ; 4
+                    ( -312.35  -949.11   -23.50     0.89)  ; 5
+                    (
+                      ( -311.08  -951.26   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-1-1
+                      ( -311.08  -951.39   -23.50     0.89)  ; 2
+                      ( -311.08  -951.77   -23.50     0.89)  ; 3
+                       Normal
+                    |
+                      ( -314.50  -950.50   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-1-2
+                      ( -316.27  -953.79   -23.50     0.89)  ; 2
+                      ( -316.40  -953.92   -23.50     0.89)  ; 3
+                      ( -317.67  -954.93   -23.50     0.89)  ; 4
+                      ( -317.67  -955.06   -23.50     0.89)  ; 5
+                      ( -317.79  -955.19   -23.50     0.89)  ; 6
+                      (
+                        ( -318.30  -958.22   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-1-2-1
+                        ( -318.17  -958.60   -23.50     0.89)  ; 2
+                        ( -317.67  -960.63   -23.50     0.89)  ; 3
+                        ( -317.67  -960.88   -23.50     0.89)  ; 4
+                        ( -317.67  -961.39   -23.50     0.89)  ; 5
+                        ( -317.67  -961.52   -23.50     0.89)  ; 6
+                        ( -317.79  -961.77   -23.50     0.89)  ; 7
+                         Normal
+                      |
+                        ( -320.32  -955.69   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-1-2-2
+                        ( -320.70  -955.69   -23.50     0.89)  ; 2
+                        ( -322.10  -956.71   -23.50     0.89)  ; 3
+                        ( -322.48  -957.09   -23.50     0.89)  ; 4
+                         Normal
+                      )  ;  End of split
+                    )  ;  End of split
+                  |
+                    ( -304.50  -943.79   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-2
+                    (
+                      ( -302.35  -945.69   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-2-1
+                      ( -301.34  -947.59   -23.50     0.89)  ; 2
+                      ( -301.21  -947.72   -23.50     0.89)  ; 3
+                      ( -299.31  -950.00   -23.50     0.89)  ; 4
+                      ( -298.93  -951.77   -23.50     0.89)  ; 5
+                      ( -298.55  -951.77   -23.50     0.89)  ; 6
+                      ( -297.54  -952.02   -23.50     0.89)  ; 7
+                      ( -297.41  -952.15   -23.50     0.89)  ; 8
+                      ( -296.91  -952.40   -23.50     0.89)  ; 9
+                      (
+                        ( -293.36  -954.05   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-2-1-1
+                        ( -293.24  -954.17   -23.50     0.89)  ; 2
+                        ( -291.08  -954.30   -23.50     0.89)  ; 3
+                        ( -290.83  -954.05   -23.50     0.89)  ; 4
+                        ( -290.70  -954.05   -23.50     0.89)  ; 5
+                        ( -289.06  -952.65   -23.50     0.89)  ; 6
+                        ( -288.43  -952.40   -23.50     0.89)  ; 7
+                        ( -286.65  -951.26   -23.50     0.89)  ; 8
+                        ( -286.02  -951.26   -23.50     0.89)  ; 9
+                        ( -284.63  -950.76   -23.50     0.89)  ; 10
+                        ( -284.12  -950.76   -23.50     0.89)  ; 11
+                         Normal
+                      |
+                        ( -295.89  -957.34   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-2-1-2
+                        ( -295.77  -958.60   -23.50     0.89)  ; 2
+                        ( -295.64  -958.86   -23.50     0.89)  ; 3
+                        ( -295.64  -958.98   -23.50     0.89)  ; 4
+                        ( -295.64  -960.25   -23.50     0.89)  ; 5
+                        ( -295.64  -960.50   -23.50     0.89)  ; 6
+                        ( -295.64  -960.50   -23.50     0.89)  ; 7
+                         Normal
+                      )  ;  End of split
+                    |
+                      ( -305.01  -947.97   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-1-2-2
+                      ( -306.27  -950.12   -23.50     0.89)  ; 2
+                      ( -307.67  -952.15   -23.50     0.89)  ; 3
+                      (
+                        ( -309.69  -955.57   -23.50     0.76)  ; 1, R-1-1-2-1-1-2-2-1-2-2-1
+                        ( -310.58  -957.34   -23.50     0.76)  ; 2
+                        ( -310.70  -957.59   -23.50     0.76)  ; 3
+                        ( -311.72  -959.11   -23.50     0.76)  ; 4
+                        ( -311.97  -959.24   -23.50     0.76)  ; 5
+                        ( -313.36  -960.76   -23.50     0.76)  ; 6
+                        ( -313.74  -962.02   -23.50     0.76)  ; 7
+                        ( -313.74  -962.40   -23.50     0.76)  ; 8
+                        ( -314.12  -963.16   -23.50     0.76)  ; 9
+                         Normal
+                      |
+                        ( -305.77  -954.30   -23.50     0.76)  ; 1, R-1-1-2-1-1-2-2-1-2-2-2
+                        ( -305.77  -954.43   -23.50     0.76)  ; 2
+                        ( -304.25  -955.44   -23.50     0.76)  ; 3
+                        ( -303.99  -955.69   -23.50     0.76)  ; 4
+                        ( -303.49  -956.33   -23.50     0.76)  ; 5
+                        ( -302.98  -956.71   -23.50     0.76)  ; 6
+                        ( -302.86  -956.96   -23.50     0.76)  ; 7
+                        ( -301.59  -957.59   -23.50     0.76)  ; 8
+                        ( -301.34  -957.59   -23.50     0.76)  ; 9
+                        ( -300.45  -958.98   -23.50     0.76)  ; 10
+                        ( -300.20  -959.36   -23.50     0.76)  ; 11
+                        ( -299.94  -960.00   -23.50     0.76)  ; 12
+                        ( -299.69  -960.25   -23.50     0.76)  ; 13
+                        ( -299.18  -960.88   -23.50     0.76)  ; 14
+                        ( -298.93  -961.52   -23.50     0.76)  ; 15
+                        ( -298.43  -961.77   -23.50     0.76)  ; 16
+                        ( -298.05  -961.90   -23.50     0.76)  ; 17
+                        ( -297.54  -962.15   -23.50     0.76)  ; 18
+                        ( -297.29  -962.15   -23.50     0.76)  ; 19
+                        ( -297.16  -962.28   -23.50     0.76)  ; 20
+                        ( -296.91  -962.28   -23.50     0.76)  ; 21
+                         Normal
+                      )  ;  End of split
+                    )  ;  End of split
+                  )  ;  End of split
+                |
+                  ( -307.16  -934.93   -23.50     1.65)  ; 1, R-1-1-2-1-1-2-2-2
+                  ( -310.32  -935.82   -23.50     1.65)  ; 2
+                  (
+                    ( -312.86  -935.69   -23.50     1.14)  ; 1, R-1-1-2-1-1-2-2-2-1
+                    ( -314.88  -935.31   -22.25     1.14)  ; 2
+                    ( -319.18  -936.07   -22.25     1.01)  ; 3
+                    ( -320.83  -936.45   -22.25     1.01)  ; 4
+                    ( -321.30  -936.68   -22.25     1.01)  ; 5
+                    (
+                      ( -323.10  -935.11   -22.25     1.01)  ; 1, R-1-1-2-1-1-2-2-2-1-1
+                      ( -325.54  -934.26   -22.25     1.01)  ; 2
+                      ( -328.67  -935.64   -21.75     1.01)  ; 3
+                       Normal
+                    |
+                      ( -324.34  -939.21   -22.75     1.01)  ; 1, R-1-1-2-1-1-2-2-2-1-2
+                      ( -324.59  -939.21   -22.75     1.01)  ; 2
+                      ( -330.41  -940.23   -22.75     1.01)  ; 3
+                       Normal
+                    )  ;  End of split
+                  |
+                    ( -311.84  -938.10   -23.50     1.27)  ; 1, R-1-1-2-1-1-2-2-2-2
+                    ( -311.97  -937.97   -23.50     1.27)  ; 2
+                    (
+                      ( -313.11  -940.25   -23.50     1.01)  ; 1, R-1-1-2-1-1-2-2-2-2-1
+                      ( -313.74  -941.64   -23.50     1.01)  ; 2
+                      ( -315.77  -944.93   -23.50     1.01)  ; 3
+                      ( -318.17  -947.09   -23.50     1.01)  ; 4
+                      (
+                        ( -321.97  -950.76   -23.50     1.01)  ; 1, R-1-1-2-1-1-2-2-2-2-1-1
+                        ( -322.98  -952.40   -23.50     1.01)  ; 2
+                        ( -323.62  -953.67   -23.50     1.01)  ; 3
+                        (
+                          ( -323.74  -955.95   -23.50     0.76)  ; 1, R-1-1-2-1-1-2-2-2-2-1-1-1
+                          ( -322.98  -958.35   -23.50     0.76)  ; 2
+                          ( -322.86  -959.49   -23.50     0.76)  ; 3
+                          ( -322.86  -959.74   -23.50     0.76)  ; 4
+                          ( -322.22  -961.52   -23.50     0.76)  ; 5
+                           Normal
+                        |
+                          ( -325.51  -955.19   -23.50     0.76)  ; 1, R-1-1-2-1-1-2-2-2-2-1-1-2
+                          ( -326.02  -956.71   -23.50     0.76)  ; 2
+                          ( -325.77  -957.97   -23.50     0.76)  ; 3
+                          ( -325.64  -958.10   -23.50     0.76)  ; 4
+                          ( -325.64  -959.36   -23.50     0.76)  ; 5
+                          ( -325.77  -959.62   -23.50     0.76)  ; 6
+                          ( -325.89  -959.74   -23.50     0.76)  ; 7
+                           Normal
+                        )  ;  End of split
+                      )  ;  End of split
+                    |
+                      ( -313.99  -938.86   -23.50     1.27)  ; 1, R-1-1-2-1-1-2-2-2-2-2
+                      ( -315.64  -939.74   -23.50     1.27)  ; 2
+                      ( -317.92  -941.39   -23.50     1.27)  ; 3
+                      ( -319.69  -942.65   -23.50     1.27)  ; 4
+                      ( -321.21  -944.30   -23.50     1.27)  ; 5
+                      ( -321.34  -944.43   -23.50     1.27)  ; 6
+                      ( -323.74  -944.68   -23.50     1.27)  ; 7
+                      ( -323.87  -944.68   -23.50     1.27)  ; 8
+                      (
+                        ( -330.20  -948.10   -23.75     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-1
+                        ( -330.45  -948.10   -23.75     0.63)  ; 2
+                        (
+                          ( -332.86  -951.39   -23.75     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-1-1
+                          ( -335.13  -953.03   -23.75     0.63)  ; 2
+                          ( -335.39  -953.03   -23.75     0.63)  ; 3
+                          ( -337.92  -953.54   -23.75     0.63)  ; 4
+                          ( -338.05  -953.54   -23.75     0.63)  ; 5
+                          ( -341.21  -954.17   -23.75     0.63)  ; 6
+                          ( -341.46  -954.05   -23.75     0.63)  ; 7
+                          ( -343.62  -954.17   -23.75     0.63)  ; 8
+                          ( -344.00  -954.17   -23.75     0.63)  ; 9
+                          ( -344.00  -954.30   -23.75     0.63)  ; 10
+                          ( -345.13  -954.43   -23.75     0.63)  ; 11
+                          ( -345.39  -954.43   -23.75     0.63)  ; 12
+                           Normal
+                        |
+                          ( -333.99  -949.11   -23.75     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-1-2
+                          ( -334.25  -949.24   -23.75     0.63)  ; 2
+                          ( -335.77  -949.24   -23.75     0.63)  ; 3
+                          ( -336.27  -949.24   -23.75     0.63)  ; 4
+                          ( -338.81  -949.24   -23.75     0.63)  ; 5
+                          ( -338.93  -949.36   -23.75     0.63)  ; 6
+                          ( -340.83  -950.00   -23.75     0.63)  ; 7
+                          ( -340.96  -950.00   -23.75     0.63)  ; 8
+                          ( -343.49  -950.88   -23.75     0.63)  ; 9
+                          ( -343.87  -951.01   -23.75     0.63)  ; 10
+                          ( -346.40  -950.76   -23.75     0.63)  ; 11
+                          ( -346.78  -950.76   -23.75     0.63)  ; 12
+                          ( -349.44  -951.90   -23.75     0.63)  ; 13
+                          ( -349.69  -952.28   -23.75     0.63)  ; 14
+                          ( -351.08  -953.41   -23.75     0.63)  ; 15
+                          ( -351.34  -953.79   -23.75     0.63)  ; 16
+                          ( -352.48  -954.43   -23.75     0.63)  ; 17
+                          ( -352.73  -954.55   -23.75     0.63)  ; 18
+                          ( -352.86  -954.55   -23.75     0.63)  ; 19
+                          ( -353.24  -954.68   -23.75     0.63)  ; 20
+                           Normal
+                        )  ;  End of split
+                      |
+                        ( -326.78  -944.17   -23.50     1.01)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2
+                        ( -329.94  -943.67   -23.50     1.01)  ; 2
+                        ( -332.35  -943.03   -23.50     1.01)  ; 3
+                        ( -332.48  -943.03   -23.50     1.01)  ; 4
+                        ( -334.63  -943.03   -23.50     1.01)  ; 5
+                        ( -334.88  -943.03   -23.50     1.01)  ; 6
+                        ( -337.54  -943.16   -23.50     1.01)  ; 7
+                        (
+                          ( -339.31  -945.19   -23.75     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-1
+                          ( -341.21  -946.71   -23.75     0.63)  ; 2
+                          ( -343.36  -947.46   -23.75     0.63)  ; 3
+                          ( -343.62  -947.46   -23.75     0.63)  ; 4
+                          ( -346.40  -947.97   -23.75     0.63)  ; 5
+                           Normal
+                        |
+                          ( -340.32  -943.03   -23.50     1.01)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2
+                          ( -342.98  -942.65   -23.50     1.01)  ; 2
+                          ( -343.36  -942.65   -23.50     1.01)  ; 3
+                          ( -343.62  -942.65   -23.50     1.01)  ; 4
+                          (
+                            ( -345.64  -944.05   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-1
+                            ( -347.16  -945.19   -23.50     0.63)  ; 2
+                            ( -350.32  -945.57   -23.50     0.63)  ; 3
+                            ( -350.70  -945.57   -23.50     0.63)  ; 4
+                            ( -352.60  -945.95   -23.50     0.63)  ; 5
+                            ( -352.73  -945.95   -23.50     0.63)  ; 6
+                            ( -354.12  -946.45   -23.50     0.63)  ; 7
+                            ( -354.37  -946.71   -23.50     0.63)  ; 8
+                            ( -354.37  -946.71   -23.50     0.63)  ; 9
+                            ( -354.50  -946.71   -23.50     0.63)  ; 10
+                             Normal
+                          |
+                            ( -345.77  -942.28   -23.50     0.89)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2
+                            ( -348.05  -942.28   -23.50     0.89)  ; 2
+                            ( -350.96  -942.40   -23.50     0.89)  ; 3
+                            ( -351.21  -942.40   -23.50     0.89)  ; 4
+                            ( -353.49  -943.03   -23.50     0.89)  ; 5
+                            (
+                              ( -353.49  -941.64   -23.50     0.76)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-1
+                              ( -353.62  -941.64   -23.50     0.76)  ; 2
+                              ( -355.26  -940.50   -23.50     0.76)  ; 3
+                              ( -355.51  -940.50   -23.50     0.76)  ; 4
+                              ( -357.16  -939.87   -23.50     0.76)  ; 5
+                              ( -359.06  -940.12   -23.50     0.76)  ; 6
+                              ( -359.31  -940.12   -23.50     0.76)  ; 7
+                              ( -360.96  -940.12   -23.50     0.76)  ; 8
+                              ( -361.08  -940.12   -23.50     0.76)  ; 9
+                              ( -361.34  -939.87   -23.50     0.76)  ; 10
+                              ( -361.34  -939.74   -23.50     0.76)  ; 11
+                               Normal
+                            |
+                              ( -356.15  -943.79   -23.50     1.01)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2
+                              ( -356.27  -943.79   -23.50     1.01)  ; 2
+                              ( -357.29  -943.92   -23.50     1.01)  ; 3
+                              (
+                                ( -357.03  -946.58   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-1
+                                ( -357.03  -946.71   -23.50     0.63)  ; 2
+                                ( -358.68  -948.73   -23.50     0.63)  ; 3
+                                ( -358.81  -948.73   -23.50     0.63)  ; 4
+                                ( -360.07  -949.62   -23.50     0.63)  ; 5
+                                ( -360.20  -949.74   -23.50     0.63)  ; 6
+                                ( -362.22  -951.01   -23.50     0.63)  ; 7
+                                ( -362.35  -951.01   -23.50     0.63)  ; 8
+                                ( -364.25  -952.02   -23.50     0.63)  ; 9
+                                ( -368.05  -953.67   -23.50     0.63)  ; 10
+                                ( -368.43  -953.79   -23.50     0.63)  ; 11
+                                ( -368.55  -953.92   -23.50     0.63)  ; 12
+                                ( -370.20  -954.93   -23.50     0.63)  ; 13
+                                ( -370.58  -955.06   -23.50     0.63)  ; 14
+                                ( -371.72  -956.58   -23.50     0.63)  ; 15
+                                ( -371.97  -956.83   -23.50     0.63)  ; 16
+                                ( -372.60  -958.10   -23.50     0.63)  ; 17
+                                ( -372.60  -959.49   -23.50     0.63)  ; 18
+                                ( -372.60  -959.87   -23.50     0.63)  ; 19
+                                ( -372.98  -960.63   -23.50     0.63)  ; 20
+                                 Normal
+                              |
+                                ( -358.30  -944.17   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2
+                                (
+                                  ( -360.20  -942.40   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-1
+                                  ( -360.32  -942.40   -23.50     0.63)  ; 2
+                                  ( -362.73  -941.64   -23.50     0.63)  ; 3
+                                  ( -362.98  -941.64   -23.50     0.63)  ; 4
+                                  ( -366.53  -941.90   -23.50     0.63)  ; 5
+                                  ( -366.78  -941.90   -23.50     0.63)  ; 6
+                                  ( -368.30  -941.14   -23.50     0.63)  ; 7
+                                  ( -368.68  -941.14   -23.50     0.63)  ; 8
+                                  ( -368.81  -941.01   -23.50     0.63)  ; 9
+                                  ( -369.69  -940.25   -23.50     0.63)  ; 10
+                                  (
+                                    ( -371.59  -939.74   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-1-1
+                                    ( -371.72  -939.74   -23.50     0.63)  ; 2
+                                    ( -372.35  -939.36   -23.50     0.63)  ; 3
+                                     Normal
+                                  |
+                                    ( -369.31  -937.72   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-1-2
+                                    ( -369.31  -937.59   -23.50     0.63)  ; 2
+                                    ( -369.69  -936.07   -23.50     0.63)  ; 3
+                                    ( -369.82  -935.57   -23.50     0.63)  ; 4
+                                     Normal
+                                  )  ;  End of split
+                                |
+                                  ( -360.20  -944.81   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-2
+                                  (
+                                    ( -362.10  -944.05   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-2-1
+                                    ( -362.22  -944.05   -23.50     0.63)  ; 2
+                                    ( -364.50  -943.92   -23.50     0.63)  ; 3
+                                    ( -364.63  -943.92   -23.50     0.63)  ; 4
+                                    ( -366.40  -944.05   -23.50     0.63)  ; 5
+                                    ( -369.06  -944.05   -23.50     0.63)  ; 6
+                                    (
+                                      ( -369.56  -943.54   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-2-1-1
+                                      ( -369.82  -943.29   -23.50     0.63)  ; 2
+                                      ( -370.96  -942.28   -23.50     0.63)  ; 3
+                                      ( -371.46  -942.28   -23.50     0.63)  ; 4
+                                      ( -371.72  -942.02   -23.50     0.63)  ; 5
+                                       Normal
+                                    |
+                                      ( -370.58  -944.93   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-2-1-2
+                                      ( -370.70  -944.93   -23.50     0.63)  ; 2
+                                      ( -371.97  -945.06   -23.50     0.63)  ; 3
+                                      ( -372.10  -945.06   -23.50     0.63)  ; 4
+                                      ( -372.35  -945.19   -23.50     0.63)  ; 5
+                                      ( -372.48  -945.19   -23.50     0.63)  ; 6
+                                       Normal
+                                    )  ;  End of split
+                                  |
+                                    ( -362.60  -947.21   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-2-2
+                                    ( -362.73  -947.34   -23.50     0.63)  ; 2
+                                    ( -363.36  -947.34   -23.50     0.63)  ; 3
+                                    ( -363.62  -947.34   -23.50     0.63)  ; 4
+                                    (
+                                      ( -365.13  -946.83   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-2-2-1
+                                      ( -366.40  -946.83   -23.50     0.63)  ; 2
+                                      ( -366.78  -946.83   -23.50     0.63)  ; 3
+                                      ( -367.79  -946.83   -23.50     0.63)  ; 4
+                                      ( -368.55  -946.83   -23.50     0.63)  ; 5
+                                      ( -369.18  -946.96   -23.50     0.63)  ; 6
+                                      ( -369.44  -947.09   -23.50     0.63)  ; 7
+                                      ( -369.69  -947.09   -23.50     0.63)  ; 8
+                                      ( -370.20  -947.34   -23.50     0.63)  ; 9
+                                      ( -370.32  -947.34   -23.50     0.63)  ; 10
+                                      ( -371.21  -947.84   -23.50     0.63)  ; 11
+                                      ( -371.34  -947.84   -23.50     0.63)  ; 12
+                                      ( -371.97  -948.22   -23.50     0.63)  ; 13
+                                      ( -372.10  -948.35   -23.50     0.63)  ; 14
+                                       Normal
+                                    |
+                                      ( -366.15  -949.36   -23.50     0.63)  ; 1, R-1-1-2-1-1-2-2-2-2-2-2-2-2-2-2-2-2-2
+                                      ( -366.27  -949.36   -23.50     0.63)  ; 2
+                                      ( -367.54  -950.63   -23.50     0.63)  ; 3
+                                      ( -367.67  -950.76   -23.50     0.63)  ; 4
+                                      ( -368.55  -950.88   -23.50     0.63)  ; 5
+                                      ( -369.31  -950.88   -23.50     0.63)  ; 6
+                                      ( -369.94  -951.52   -23.50     0.63)  ; 7
+                                      ( -370.07  -951.64   -23.50     0.63)  ; 8
+                                      ( -370.96  -952.28   -23.50     0.63)  ; 9
+                                      ( -371.21  -952.53   -23.50     0.63)  ; 10
+                                      ( -371.46  -952.78   -23.50     0.63)  ; 11
+                                      ( -371.72  -953.03   -23.50     0.63)  ; 12
+                                      ( -372.48  -953.92   -23.50     0.63)  ; 13
+                                      ( -372.60  -954.05   -23.50     0.63)  ; 14
+                                      ( -372.73  -954.17   -23.50     0.63)  ; 15
+                                      ( -372.98  -954.30   -23.50     0.63)  ; 16
+                                      ( -373.24  -954.43   -23.50     0.63)  ; 17
+                                      ( -373.49  -954.81   -23.50     0.63)  ; 18
+                                      ( -373.62  -954.81   -23.50     0.63)  ; 19
+                                       Normal
+                                    )  ;  End of split
+                                  )  ;  End of split
+                                )  ;  End of split
+                              )  ;  End of split
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  )  ;  End of split
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          |
+            ( -284.35  -935.16   -24.00     1.01)  ; 1, R-1-1-2-1-2
+            ( -284.61  -935.16   -24.00     1.01)  ; 2
+            ( -286.63  -938.96   -24.75     1.01)  ; 3
+            ( -286.63  -939.47   -24.75     1.01)  ; 4
+            ( -288.91  -943.01   -25.75     1.01)  ; 5
+            ( -290.94  -947.82   -26.25     1.01)  ; 6
+            ( -291.95  -951.62   -27.00     1.01)  ; 7
+            ( -293.21  -953.90   -27.75     1.01)  ; 8
+            ( -292.71  -953.90   -27.75     1.01)  ; 9
+            (
+              ( -297.77  -955.16   -28.00     1.01)  ; 1, R-1-1-2-1-2-1
+              ( -298.28  -955.16   -28.00     1.01)  ; 2
+              ( -306.88  -955.67   -28.00     1.01)  ; 3
+              ( -307.14  -955.67   -28.00     1.01)  ; 4
+              ( -310.43  -953.64   -28.00     1.01)  ; 5
+              ( -310.68  -953.64   -28.00     1.01)  ; 6
+               Normal
+            |
+              ( -294.23  -958.71   -28.75     1.01)  ; 1, R-1-1-2-1-2-2
+              (
+                ( -299.04  -962.25   -28.75     1.01)  ; 1, R-1-1-2-1-2-2-1
+                 Normal
+              |
+                ( -291.95  -961.75   -28.50     1.01)  ; 1, R-1-1-2-1-2-2-2
+                ( -292.20  -961.75   -28.50     1.01)  ; 2
+                (
+                  ( -288.15  -961.49   -28.50     1.01)  ; 1, R-1-1-2-1-2-2-2-1
+                   Normal
+                |
+                  ( -290.68  -965.04   -28.50     1.01)  ; 1, R-1-1-2-1-2-2-2-2
+                  ( -290.68  -965.29   -28.50     1.01)  ; 2
+                   Normal
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          )  ;  End of split
+        |
+          ( -239.31  -919.73   -25.25     2.15)  ; 1, R-1-1-2-2
+          ( -240.19  -917.33   -25.25     2.15)  ; 2
+          ( -241.20  -915.93   -24.00     2.15)  ; 3
+          ( -242.73  -913.66   -24.00     2.15)  ; 4
+          (
+            ( -240.70  -912.26   -24.00     1.52)  ; 1, R-1-1-2-2-1
+            ( -237.53  -911.13   -24.00     1.52)  ; 2
+            ( -233.92  -909.95   -24.00     1.52)  ; 3
+            (
+              ( -231.33  -910.75   -24.00     0.76)  ; 1, R-1-1-2-2-1-1
+              ( -229.69  -911.88   -24.00     0.76)  ; 2
+              ( -229.56  -911.88   -24.00     0.76)  ; 3
+              ( -228.17  -916.44   -23.50     0.76)  ; 4
+              ( -228.17  -917.45   -23.50     0.76)  ; 5
+              (
+                ( -226.02  -919.35   -24.00     0.76)  ; 1, R-1-1-2-2-1-1-1
+                ( -225.51  -919.35   -24.00     0.76)  ; 2
+                 Normal
+              |
+                ( -228.29  -918.59   -23.50     0.76)  ; 1, R-1-1-2-2-1-1-2
+                (
+                  ( -227.66  -921.38   -23.50     0.76)  ; 1, R-1-1-2-2-1-1-2-1
+                  ( -227.53  -921.51   -23.50     0.76)  ; 2
+                  ( -227.28  -922.39   -23.50     0.76)  ; 3
+                  ( -227.15  -922.64   -23.50     0.76)  ; 4
+                  ( -227.15  -922.64   -23.50     0.76)  ; 5
+                   Normal
+                |
+                  ( -230.19  -921.00   -23.50     0.76)  ; 1, R-1-1-2-2-1-1-2-2
+                  ( -230.95  -921.51   -23.50     0.76)  ; 2
+                  ( -230.95  -921.63   -23.50     0.76)  ; 3
+                  ( -230.95  -922.52   -23.50     0.76)  ; 4
+                  ( -230.45  -923.28   -23.50     0.76)  ; 5
+                   Normal
+                )  ;  End of split
+              )  ;  End of split
+            |
+              ( -232.48  -908.97   -23.50     1.39)  ; 1, R-1-1-2-2-1-2
+              ( -231.08  -906.95   -23.50     1.14)  ; 2
+              ( -229.69  -905.05   -23.50     1.01)  ; 3
+              ( -228.42  -903.78   -23.50     1.01)  ; 4
+              ( -226.14  -901.63   -23.50     1.01)  ; 5
+              ( -224.50  -901.00   -23.50     1.01)  ; 6
+              ( -224.37  -901.00   -23.50     1.01)  ; 7
+              ( -222.22  -897.33   -24.25     0.76)  ; 8
+              (
+                ( -222.15  -895.09   -23.75     0.96)  ; 1, R-1-1-2-2-1-2-1
+                ( -221.84  -892.06   -23.75     0.96)  ; 2
+                ( -221.52  -890.63   -23.75     0.96)  ; 3
+                ( -221.52  -890.15   -23.75     0.96)  ; 4
+                ( -221.20  -889.67   -23.75     0.96)  ; 5
+                ( -221.04  -889.36   -23.75     0.96)  ; 6
+                ( -220.88  -888.88   -23.75     0.96)  ; 7
+                ( -220.56  -888.56   -23.75     0.96)  ; 8
+                ( -220.24  -888.08   -23.75     0.96)  ; 9
+                ( -220.08  -887.60   -23.75     0.96)  ; 10
+                ( -219.45  -886.97   -23.75     0.96)  ; 11
+                ( -219.13  -886.49   -23.75     0.96)  ; 12
+                ( -218.01  -885.38   -23.75     0.96)  ; 13
+                ( -217.70  -885.06   -23.75     0.96)  ; 14
+                ( -217.38  -884.90   -23.75     0.96)  ; 15
+                ( -217.06  -884.74   -23.75     0.96)  ; 16
+                ( -216.74  -884.74   -23.75     0.96)  ; 17
+                 Normal
+              |
+                ( -219.29  -895.72   -23.75     0.96)  ; 1, R-1-1-2-2-1-2-2
+                (
+                  ( -215.47  -895.25   -23.75     0.96)  ; 1, R-1-1-2-2-1-2-2-1
+                  ( -215.63  -895.25   -23.75     0.96)  ; 2
+                  (
+                    ( -212.28  -894.77   -23.75     0.96)  ; 1, R-1-1-2-2-1-2-2-1-1
+                    ( -210.37  -893.18   -23.75     0.96)  ; 2
+                    ( -210.05  -893.02   -23.75     0.96)  ; 3
+                     Normal
+                  |
+                    ( -214.83  -892.22   -23.75     0.96)  ; 1, R-1-1-2-2-1-2-2-1-2
+                    ( -214.67  -891.90   -23.75     0.96)  ; 2
+                    ( -213.56  -889.36   -23.75     0.96)  ; 3
+                     Normal
+                  )  ;  End of split
+                |
+                  ( -218.81  -893.18   -23.75     0.96)  ; 1, R-1-1-2-2-1-2-2-2
+                  ( -218.65  -892.86   -23.75     0.96)  ; 2
+                  ( -217.38  -889.83   -23.75     0.96)  ; 3
+                  ( -217.22  -889.67   -23.75     0.96)  ; 4
+                  ( -214.99  -888.56   -23.75     0.96)  ; 5
+                  ( -215.15  -888.40   -23.75     0.96)  ; 6
+                   Normal
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          |
+            ( -244.12  -912.39   -24.00     2.5)  ; 1, R-1-1-2-2-2
+            (
+              ( -242.22  -909.73   -24.00     1.90)  ; 1, R-1-1-2-2-2-1
+              ( -241.58  -906.57   -24.00     1.77)  ; 2
+              ( -241.33  -904.92   -24.00     1.77)  ; 3
+              (
+                ( -242.47  -903.02   -24.00     0.89)  ; 1, R-1-1-2-2-2-1-1
+                ( -243.74  -901.38   -24.00     0.89)  ; 2
+                ( -245.00  -898.72   -24.00     0.89)  ; 3
+                ( -246.65  -895.81   -24.00     0.89)  ; 4
+                ( -247.28  -893.02   -24.00     0.89)  ; 5
+                ( -248.04  -890.75   -24.00     0.89)  ; 6
+                ( -248.80  -887.83   -24.00     0.89)  ; 7
+                (
+                  ( -248.17  -881.13   -23.75     0.89)  ; 1, R-1-1-2-2-2-1-1-1
+                  (
+                    ( -245.00  -879.61   -23.75     0.89)  ; 1, R-1-1-2-2-2-1-1-1-1
+                    ( -243.99  -878.59   -23.75     0.89)  ; 2
+                    ( -241.96  -877.33   -23.75     0.89)  ; 3
+                    ( -241.71  -877.33   -23.75     0.89)  ; 4
+                    ( -239.31  -876.19   -23.75     0.89)  ; 5
+                    ( -238.80  -874.92   -23.75     0.89)  ; 6
+                    ( -238.80  -874.54   -23.75     0.89)  ; 7
+                    ( -238.80  -872.39   -23.75     0.89)  ; 8
+                    ( -238.93  -872.01   -23.75     0.89)  ; 9
+                    ( -240.19  -870.11   -23.75     0.89)  ; 10
+                    ( -240.19  -869.73   -23.75     0.89)  ; 11
+                    ( -240.45  -868.47   -23.75     0.89)  ; 12
+                     Normal
+                  |
+                    ( -247.66  -876.19   -23.75     0.89)  ; 1, R-1-1-2-2-2-1-1-1-2
+                    ( -246.52  -873.28   -23.75     0.89)  ; 2
+                    (
+                      ( -245.00  -869.73   -23.75     0.89)  ; 1, R-1-1-2-2-2-1-1-1-2-1
+                      ( -243.61  -867.33   -23.75     0.89)  ; 2
+                      ( -242.60  -866.06   -23.75     0.89)  ; 3
+                       Normal
+                    |
+                      ( -248.17  -871.38   -23.75     0.89)  ; 1, R-1-1-2-2-2-1-1-1-2-2
+                      ( -248.29  -871.38   -23.75     0.89)  ; 2
+                      ( -249.18  -869.23   -23.75     0.89)  ; 3
+                      ( -249.31  -868.97   -23.75     0.89)  ; 4
+                      ( -250.19  -867.20   -23.75     0.89)  ; 5
+                      ( -250.32  -866.95   -23.75     0.89)  ; 6
+                      ( -251.33  -865.68   -23.75     0.89)  ; 7
+                       Normal
+                    )  ;  End of split
+                  )  ;  End of split
+                |
+                  ( -251.21  -885.94   -24.00     1.14)  ; 1, R-1-1-2-2-2-1-1-2
+                  ( -253.36  -884.16   -24.00     1.14)  ; 2
+                  ( -253.99  -883.53   -24.00     1.14)  ; 3
+                  (
+                    ( -254.75  -882.39   -24.00     0.89)  ; 1, R-1-1-2-2-2-1-1-2-1
+                    (
+                      ( -254.62  -880.24   -24.00     0.89)  ; 1, R-1-1-2-2-2-1-1-2-1-1
+                      ( -254.62  -876.19   -24.00     0.89)  ; 2
+                      ( -254.62  -875.68   -24.00     0.89)  ; 3
+                      (
+                        ( -255.89  -874.04   -24.00     0.89)  ; 1, R-1-1-2-2-2-1-1-2-1-1-1
+                        ( -257.03  -871.88   -24.00     0.89)  ; 2
+                        ( -256.90  -870.11   -24.00     0.89)  ; 3
+                        ( -256.90  -869.86   -24.00     0.89)  ; 4
+                        ( -255.89  -867.58   -24.00     0.89)  ; 5
+                         Normal
+                      |
+                        ( -253.61  -872.77   -24.00     0.89)  ; 1, R-1-1-2-2-2-1-1-2-1-1-2
+                        ( -253.61  -872.52   -24.00     0.89)  ; 2
+                        ( -253.36  -869.86   -24.00     0.89)  ; 3
+                        ( -253.23  -869.86   -24.00     0.89)  ; 4
+                         Normal
+                      )  ;  End of split
+                    |
+                      ( -256.27  -881.63   -24.00     0.89)  ; 1, R-1-1-2-2-2-1-1-2-1-2
+                      ( -257.53  -880.62   -24.00     0.89)  ; 2
+                      ( -258.29  -879.86   -24.00     0.89)  ; 3
+                      ( -259.43  -877.96   -24.00     0.89)  ; 4
+                      ( -259.56  -876.44   -24.00     0.89)  ; 5
+                      ( -259.56  -874.67   -24.00     0.89)  ; 6
+                      ( -259.56  -874.29   -24.00     0.89)  ; 7
+                      ( -260.95  -871.13   -24.00     0.89)  ; 8
+                      ( -261.96  -869.61   -24.00     0.89)  ; 9
+                       Normal
+                    )  ;  End of split
+                  |
+                    ( -256.39  -883.40   -24.00     0.89)  ; 1, R-1-1-2-2-2-1-1-2-2
+                    ( -256.65  -883.40   -24.00     0.89)  ; 2
+                    ( -258.29  -882.64   -24.00     0.89)  ; 3
+                    ( -258.55  -882.64   -24.00     0.89)  ; 4
+                    ( -260.32  -881.76   -24.00     0.89)  ; 5
+                    ( -261.96  -880.24   -24.00     0.89)  ; 6
+                    ( -263.86  -878.59   -24.00     0.89)  ; 7
+                    ( -264.88  -877.45   -24.00     0.89)  ; 8
+                    (
+                      ( -265.64  -875.68   -24.00     0.89)  ; 1, R-1-1-2-2-2-1-1-2-2-1
+                      ( -267.03  -873.40   -24.00     0.89)  ; 2
+                      ( -268.80  -870.87   -24.00     0.89)  ; 3
+                      ( -268.93  -870.75   -24.00     0.89)  ; 4
+                      ( -270.45  -869.61   -24.00     0.89)  ; 5
+                       Normal
+                    |
+                      ( -266.77  -877.20   -24.00     0.89)  ; 1, R-1-1-2-2-2-1-1-2-2-2
+                      ( -267.53  -876.69   -24.00     0.89)  ; 2
+                      ( -269.18  -875.94   -24.00     0.89)  ; 3
+                      ( -269.31  -875.94   -24.00     0.89)  ; 4
+                      ( -271.08  -874.80   -24.00     0.89)  ; 5
+                      ( -271.33  -874.67   -24.00     0.89)  ; 6
+                      ( -272.47  -873.78   -24.00     0.89)  ; 7
+                      ( -272.72  -873.40   -24.00     0.89)  ; 8
+                      ( -273.86  -872.26   -24.00     0.89)  ; 9
+                      ( -273.99  -872.14   -24.00     0.89)  ; 10
+                      ( -274.75  -871.13   -24.00     0.89)  ; 11
+                       Normal
+                    )  ;  End of split
+                  )  ;  End of split
+                )  ;  End of split
+              |
+                ( -240.19  -904.04   -24.00     2.15)  ; 1, R-1-1-2-2-2-1-2
+                (
+                  ( -237.28  -903.68   -23.50     1.43)  ; 1, R-1-1-2-2-2-1-2-1
+                  ( -237.44  -903.68   -23.50     1.43)  ; 2
+                  ( -234.57  -903.21   -23.50     1.27)  ; 3
+                  ( -234.57  -903.05   -23.50     1.27)  ; 4
+                  ( -232.34  -903.05   -23.50     1.11)  ; 5
+                  (
+                    ( -228.52  -903.37   -22.50     0.96)  ; 1, R-1-1-2-2-2-1-2-1-1
+                    ( -228.68  -903.68   -22.50     0.96)  ; 2
+                    (
+                      ( -222.63  -907.19   -22.00     0.96)  ; 1, R-1-1-2-2-2-1-2-1-1-1
+                      ( -219.77  -907.82   -21.75     0.96)  ; 2
+                      ( -217.06  -908.14   -22.00     0.96)  ; 3
+                      ( -214.51  -908.94   -22.00     0.96)  ; 4
+                      ( -214.51  -908.78   -22.00     0.96)  ; 5
+                      ( -212.92  -909.42   -22.50     0.96)  ; 6
+                      ( -213.08  -909.42   -22.50     0.96)  ; 7
+                      (
+                        ( -210.37  -911.01   -23.25     0.96)  ; 1, R-1-1-2-2-2-1-2-1-1-1-1
+                        ( -210.05  -910.85   -23.25     0.96)  ; 2
+                        ( -207.83  -911.17   -23.25     0.96)  ; 3
+                        ( -207.51  -911.01   -23.25     0.96)  ; 4
+                        ( -204.16  -909.89   -23.25     0.96)  ; 5
+                        ( -203.85  -909.73   -23.25     0.96)  ; 6
+                         Normal
+                      |
+                        ( -210.69  -906.87   -22.50     0.96)  ; 1, R-1-1-2-2-2-1-2-1-1-1-2
+                        ( -210.37  -906.55   -22.50     0.96)  ; 2
+                        ( -207.99  -904.80   -22.50     0.96)  ; 3
+                        ( -207.67  -904.64   -22.50     0.96)  ; 4
+                         Normal
+                      )  ;  End of split
+                    |
+                      ( -226.77  -902.25   -22.25     0.96)  ; 1, R-1-1-2-2-2-1-2-1-1-2
+                      ( -226.45  -901.93   -22.25     0.96)  ; 2
+                      ( -224.22  -901.30   -22.25     0.96)  ; 3
+                      ( -224.06  -901.14   -22.25     0.96)  ; 4
+                      ( -221.20  -900.02   -22.25     0.96)  ; 5
+                      ( -221.20  -899.86   -22.25     0.96)  ; 6
+                      (
+                        ( -219.29  -898.43   -22.75     0.96)  ; 1, R-1-1-2-2-2-1-2-1-1-2-1
+                        ( -219.29  -898.27   -22.75     0.96)  ; 2
+                        (
+                          ( -216.42  -898.75   -22.50     0.96)  ; 1, R-1-1-2-2-2-1-2-1-1-2-1-1
+                          ( -216.26  -898.59   -22.50     0.96)  ; 2
+                          ( -212.28  -899.07   -22.50     0.96)  ; 3
+                          ( -212.44  -899.07   -22.50     0.96)  ; 4
+                           Normal
+                        )  ;  End of split
+                      |
+                        ( -219.29  -901.77   -21.75     0.96)  ; 1, R-1-1-2-2-2-1-2-1-1-2-2
+                        ( -219.29  -901.93   -21.75     0.96)  ; 2
+                         Normal
+                      )  ;  End of split
+                    )  ;  End of split
+                  |
+                    ( -232.02  -900.66   -23.75     0.96)  ; 1, R-1-1-2-2-2-1-2-1-2
+                    ( -231.87  -900.34   -23.75     0.96)  ; 2
+                    ( -230.91  -897.63   -23.75     0.96)  ; 3
+                    ( -230.75  -897.32   -23.75     0.96)  ; 4
+                    ( -230.11  -895.57   -23.75     0.96)  ; 5
+                    ( -229.95  -895.57   -23.75     0.96)  ; 6
+                     Normal
+                  )  ;  End of split
+                |
+                  ( -239.31  -901.51   -24.00     1.01)  ; 1, R-1-1-2-2-2-1-2-2
+                  ( -238.29  -897.96   -24.00     1.01)  ; 2
+                  ( -236.39  -892.77   -23.50     1.01)  ; 3
+                  ( -234.50  -888.47   -23.50     1.01)  ; 4
+                  ( -232.22  -886.19   -23.50     1.01)  ; 5
+                  (
+                    ( -229.69  -885.56   -23.50     1.01)  ; 1, R-1-1-2-2-2-1-2-2-1
+                    ( -229.43  -885.30   -23.50     1.01)  ; 2
+                    ( -227.03  -884.04   -23.50     1.01)  ; 3
+                    ( -227.03  -883.91   -23.50     1.01)  ; 4
+                    (
+                      ( -223.36  -883.40   -23.50     0.76)  ; 1, R-1-1-2-2-2-1-2-2-1-1
+                      ( -222.15  -882.51   -24.75     0.96)  ; 2
+                      ( -221.99  -882.19   -24.75     0.96)  ; 3
+                      ( -219.93  -879.17   -24.75     0.96)  ; 4
+                      ( -219.77  -879.17   -24.75     0.96)  ; 5
+                       Normal
+                    |
+                      ( -225.50  -881.56   -24.50     0.96)  ; 1, R-1-1-2-2-2-1-2-2-1-2
+                      ( -225.50  -881.24   -24.50     0.96)  ; 2
+                      ( -223.43  -879.17   -24.50     0.96)  ; 3
+                      ( -221.68  -877.26   -25.50     0.96)  ; 4
+                      ( -221.68  -877.42   -25.50     0.96)  ; 5
+                      ( -218.81  -874.07   -24.50     0.96)  ; 6
+                       Normal
+                    )  ;  End of split
+                  |
+                    ( -232.09  -883.62   -23.50     0.76)  ; 1, R-1-1-2-2-2-1-2-2-2
+                    ( -231.45  -881.47   -23.50     0.76)  ; 2
+                    (
+                      ( -229.68  -877.55   -23.50     0.76)  ; 1, R-1-1-2-2-2-1-2-2-2-1
+                      ( -229.30  -875.27   -23.50     0.76)  ; 2
+                      ( -229.30  -874.76   -23.50     0.76)  ; 3
+                      ( -229.18  -872.74   -23.50     0.76)  ; 4
+                      ( -229.05  -871.98   -23.50     0.76)  ; 5
+                      ( -228.54  -870.84   -23.50     0.76)  ; 6
+                       Normal
+                    |
+                      ( -232.34  -878.43   -23.50     0.76)  ; 1, R-1-1-2-2-2-1-2-2-2-2
+                      ( -232.47  -876.54   -23.50     0.76)  ; 2
+                      ( -232.47  -876.28   -23.50     0.76)  ; 3
+                      ( -233.23  -874.13   -23.50     0.76)  ; 4
+                      (
+                        ( -235.00  -872.49   -23.50     0.76)  ; 1, R-1-1-2-2-2-1-2-2-2-2-1
+                        ( -236.01  -870.21   -23.50     0.76)  ; 2
+                        ( -236.01  -870.08   -23.50     0.76)  ; 3
+                        ( -236.52  -868.94   -23.50     0.76)  ; 4
+                        ( -237.15  -867.80   -23.50     0.76)  ; 5
+                         Normal
+                      |
+                        ( -232.59  -871.98   -23.50     0.76)  ; 1, R-1-1-2-2-2-1-2-2-2-2-2
+                        ( -232.34  -869.83   -23.50     0.76)  ; 2
+                        ( -232.34  -869.57   -23.50     0.76)  ; 3
+                        ( -232.85  -868.43   -23.50     0.76)  ; 4
+                        ( -232.85  -868.18   -23.50     0.76)  ; 5
+                        ( -232.85  -867.80   -23.50     0.76)  ; 6
+                         Normal
+                      )  ;  End of split
+                    )  ;  End of split
+                  )  ;  End of split
+                )  ;  End of split
+              )  ;  End of split
+            |
+              ( -245.25  -911.97   -24.00     2.28)  ; 1, R-1-1-2-2-2-2
+              ( -248.93  -909.69   -24.00     2.28)  ; 2
+              ( -252.34  -907.92   -24.00     2.28)  ; 3
+              ( -254.62  -906.28   -24.00     2.28)  ; 4
+              ( -256.14  -905.01   -24.00     2.28)  ; 5
+              ( -258.80  -903.62   -24.00     2.28)  ; 6
+              ( -261.46  -901.72   -24.00     2.28)  ; 7
+              ( -263.36  -900.33   -24.00     2.28)  ; 8
+              ( -263.58  -900.37   -24.00     2.28)  ; 9
+              (
+                ( -266.52  -898.81   -24.00     2.28)  ; 1, R-1-1-2-2-2-2-1
+                ( -270.19  -898.55   -23.75     2.28)  ; 2
+                ( -270.95  -897.92   -23.75     2.28)  ; 3
+                (
+                  ( -271.45  -895.01   -24.00     1.65)  ; 1, R-1-1-2-2-2-2-1-1
+                  ( -274.11  -891.47   -24.00     1.65)  ; 2
+                  ( -276.77  -888.30   -24.00     1.65)  ; 3
+                  ( -278.41  -885.77   -24.00     1.65)  ; 4
+                  (
+                    ( -278.54  -882.98   -24.00     1.01)  ; 1, R-1-1-2-2-2-2-1-1-1
+                    ( -279.05  -881.21   -24.00     1.01)  ; 2
+                    ( -279.17  -880.96   -24.00     1.01)  ; 3
+                    ( -279.81  -879.57   -24.00     1.01)  ; 4
+                    ( -280.95  -878.05   -24.00     1.01)  ; 5
+                    (
+                      ( -278.67  -874.50   -24.00     1.01)  ; 1, R-1-1-2-2-2-2-1-1-1-1
+                      ( -277.40  -872.35   -24.00     0.76)  ; 2
+                      ( -277.40  -870.83   -24.00     0.76)  ; 3
+                      ( -277.40  -870.07   -24.00     0.76)  ; 4
+                      (
+                        ( -277.53  -867.79   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-1-1-1
+                        ( -277.65  -867.67   -24.00     0.76)  ; 2
+                        ( -278.54  -864.88   -24.00     0.76)  ; 3
+                        ( -278.67  -862.48   -24.00     0.76)  ; 4
+                         Normal
+                      |
+                        ( -276.14  -865.77   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-1-1-2
+                        ( -274.24  -864.00   -24.00     0.76)  ; 2
+                        ( -274.11  -864.00   -24.00     0.76)  ; 3
+                        ( -272.46  -862.86   -24.00     0.76)  ; 4
+                        ( -271.96  -862.48   -24.00     0.76)  ; 5
+                        ( -270.95  -861.72   -24.00     0.76)  ; 6
+                        ( -270.69  -861.47   -24.00     0.76)  ; 7
+                        ( -270.44  -859.95   -24.00     0.76)  ; 8
+                         Normal
+                      )  ;  End of split
+                    |
+                      ( -282.21  -877.04   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-1-2
+                      (
+                        ( -281.83  -872.48   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-1-2-1
+                        ( -281.45  -870.20   -24.00     0.76)  ; 2
+                        ( -280.95  -866.78   -24.00     0.76)  ; 3
+                        (
+                          ( -280.44  -864.50   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-1-2-1-1
+                          ( -278.03  -862.73   -24.00     0.76)  ; 2
+                          ( -276.39  -861.34   -24.00     0.76)  ; 3
+                           Normal
+                        |
+                          ( -281.96  -864.63   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-1-2-1-2
+                          ( -282.72  -862.98   -24.00     0.76)  ; 2
+                          ( -283.35  -861.97   -24.00     0.76)  ; 3
+                           Normal
+                        )  ;  End of split
+                      |
+                        ( -284.62  -875.90   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-1-2-2
+                        ( -285.63  -875.01   -24.00     0.76)  ; 2
+                        ( -286.64  -873.24   -24.00     0.76)  ; 3
+                        ( -286.77  -873.11   -24.00     0.76)  ; 4
+                        ( -287.02  -869.06   -24.00     0.76)  ; 5
+                        ( -287.15  -865.52   -24.00     0.76)  ; 6
+                        (
+                          ( -288.03  -864.50   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-1-2-2-1
+                          ( -288.29  -864.38   -24.00     0.76)  ; 2
+                          ( -289.43  -862.60   -24.00     0.76)  ; 3
+                          ( -289.55  -862.23   -24.00     0.76)  ; 4
+                          ( -290.44  -861.34   -24.00     0.76)  ; 5
+                           Normal
+                        |
+                          ( -286.14  -863.36   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-1-2-2-2
+                          ( -284.87  -861.59   -24.00     0.76)  ; 2
+                          ( -284.62  -861.34   -24.00     0.76)  ; 3
+                          ( -283.60  -860.71   -24.00     0.76)  ; 4
+                           Normal
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  |
+                    ( -281.07  -883.87   -24.00     1.01)  ; 1, R-1-1-2-2-2-2-1-1-2
+                    ( -283.35  -881.97   -24.00     1.01)  ; 2
+                    ( -284.62  -880.83   -24.00     1.01)  ; 3
+                    ( -286.14  -880.07   -24.25     1.01)  ; 4
+                    (
+                      ( -288.16  -880.71   -24.25     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-1
+                      ( -292.09  -879.95   -24.25     0.76)  ; 2
+                      ( -294.74  -879.31   -24.25     0.76)  ; 3
+                      ( -297.53  -878.93   -24.25     0.76)  ; 4
+                      (
+                        ( -300.95  -878.55   -24.25     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-1-1
+                        ( -301.07  -878.55   -24.25     0.76)  ; 2
+                        ( -302.84  -878.43   -24.25     0.76)  ; 3
+                        ( -303.60  -878.43   -24.25     0.76)  ; 4
+                        ( -304.62  -878.43   -24.25     0.76)  ; 5
+                        ( -304.87  -878.43   -24.25     0.76)  ; 6
+                        ( -306.01  -877.54   -24.25     0.76)  ; 7
+                         Normal
+                      |
+                        ( -298.92  -877.54   -24.25     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-1-2
+                        ( -300.57  -876.40   -24.25     0.76)  ; 2
+                        ( -300.69  -876.28   -24.25     0.76)  ; 3
+                        ( -301.96  -875.14   -24.25     0.76)  ; 4
+                        ( -302.09  -875.01   -24.25     0.76)  ; 5
+                        ( -303.48  -874.00   -24.25     0.76)  ; 6
+                        ( -304.62  -873.36   -24.25     0.76)  ; 7
+                        ( -306.52  -873.36   -24.25     0.76)  ; 8
+                        ( -307.02  -873.49   -24.25     0.76)  ; 9
+                        ( -307.15  -873.49   -24.25     0.76)  ; 10
+                        ( -307.53  -873.49   -24.25     0.76)  ; 11
+                        ( -307.65  -873.49   -24.25     0.76)  ; 12
+                         Normal
+                      )  ;  End of split
+                    |
+                      ( -288.16  -878.05   -24.25     1.14)  ; 1, R-1-1-2-2-2-2-1-1-2-2
+                      ( -291.96  -875.52   -24.25     1.14)  ; 2
+                      ( -293.60  -873.24   -24.25     1.14)  ; 3
+                      ( -296.01  -871.34   -24.25     1.14)  ; 4
+                      ( -296.14  -871.34   -24.25     1.14)  ; 5
+                      ( -296.52  -871.34   -24.25     1.14)  ; 6
+                      (
+                        ( -298.92  -871.21   -24.25     1.14)  ; 1, R-1-1-2-2-2-2-1-1-2-2-1
+                        ( -301.45  -870.33   -24.25     1.14)  ; 2
+                        ( -301.71  -870.07   -24.25     1.14)  ; 3
+                        ( -303.60  -869.06   -24.25     1.14)  ; 4
+                        ( -306.14  -868.05   -24.25     1.14)  ; 5
+                        ( -309.43  -866.28   -24.25     1.01)  ; 6
+                        ( -311.96  -865.14   -24.25     1.01)  ; 7
+                        ( -312.09  -865.14   -24.25     1.01)  ; 8
+                        ( -315.38  -864.38   -24.25     1.01)  ; 9
+                        ( -315.76  -864.38   -24.25     1.01)  ; 10
+                        ( -318.29  -864.50   -24.25     1.01)  ; 11
+                        ( -318.41  -864.50   -24.25     1.01)  ; 12
+                        ( -319.81  -864.63   -24.25     1.01)  ; 13
+                        (
+                          ( -322.72  -864.88   -24.25     1.01)  ; 1, R-1-1-2-2-2-2-1-1-2-2-1-1
+                          ( -322.97  -864.88   -24.25     1.01)  ; 2
+                          ( -325.00  -864.88   -24.25     1.01)  ; 3
+                          ( -325.38  -864.88   -24.25     1.01)  ; 4
+                          ( -326.90  -864.50   -24.25     1.01)  ; 5
+                          ( -327.28  -864.25   -24.25     1.01)  ; 6
+                          ( -329.68  -863.24   -24.25     1.01)  ; 7
+                          ( -330.06  -863.24   -24.25     1.01)  ; 8
+                          ( -332.09  -862.10   -24.25     1.01)  ; 9
+                          ( -332.21  -862.10   -24.25     1.01)  ; 10
+                          (
+                            ( -336.39  -863.62   -24.25     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-2-1-1-1
+                            ( -336.64  -863.62   -24.25     0.76)  ; 2
+                            ( -339.45  -864.32   -24.25     0.76)  ; 3
+                            ( -342.84  -866.28   -24.50     0.76)  ; 4
+                            ( -345.25  -866.28   -24.50     0.76)  ; 5
+                            ( -345.50  -866.02   -24.50     0.76)  ; 6
+                            ( -345.88  -865.90   -24.50     0.76)  ; 7
+                            ( -346.64  -865.26   -24.50     0.76)  ; 8
+                            ( -347.02  -865.14   -24.50     0.76)  ; 9
+                            ( -348.29  -864.63   -24.50     0.76)  ; 10
+                            ( -348.79  -864.63   -24.50     0.76)  ; 11
+                            ( -350.57  -864.63   -24.50     0.76)  ; 12
+                            ( -353.73  -861.97   -24.50     0.76)  ; 13
+                            ( -353.98  -861.85   -24.50     0.76)  ; 14
+                            ( -354.87  -860.83   -24.50     0.76)  ; 15
+                            ( -355.25  -860.58   -24.50     0.76)  ; 16
+                            ( -355.63  -859.95   -24.50     0.76)  ; 17
+                            ( -356.14  -859.57   -24.50     0.76)  ; 18
+                            ( -357.02  -858.93   -24.50     0.76)  ; 19
+                            ( -357.15  -858.81   -24.50     0.76)  ; 20
+                            ( -357.28  -858.81   -24.50     0.76)  ; 21
+                            ( -357.53  -858.68   -24.50     0.76)  ; 22
+                            ( -357.65  -858.68   -24.50     0.76)  ; 23
+                             Normal
+                          |
+                            ( -333.35  -861.85   -25.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-2-1-1-2
+                            (
+                              ( -335.63  -859.82   -25.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-2-1-1-2-1
+                              ( -336.01  -859.57   -25.00     0.76)  ; 2
+                              (
+                                ( -333.48  -857.41   -25.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-2-1-1-2-1-1
+                                ( -332.21  -856.66   -25.00     0.76)  ; 2
+                                ( -331.45  -856.78   -25.00     0.76)  ; 3
+                                ( -330.57  -856.78   -25.00     0.76)  ; 4
+                                 Normal
+                              |
+                                ( -337.02  -857.79   -25.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-2-1-1-2-1-2
+                                ( -340.44  -856.28   -25.00     0.76)  ; 2
+                                ( -340.57  -856.28   -25.00     0.76)  ; 3
+                                ( -343.22  -855.90   -25.00     0.76)  ; 4
+                                ( -345.00  -855.01   -25.00     0.76)  ; 5
+                                ( -345.25  -855.01   -25.00     0.76)  ; 6
+                                ( -347.28  -855.01   -25.00     0.76)  ; 7
+                                ( -348.03  -854.63   -25.00     0.76)  ; 8
+                                ( -349.05  -854.38   -25.00     0.76)  ; 9
+                                ( -349.30  -854.38   -25.00     0.76)  ; 10
+                                ( -350.19  -854.38   -25.00     0.76)  ; 11
+                                 Normal
+                              )  ;  End of split
+                            |
+                              ( -336.64  -862.48   -25.00     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-2-1-1-2-2
+                              ( -336.64  -862.35   -25.00     0.76)  ; 2
+                              ( -338.54  -860.96   -25.00     0.76)  ; 3
+                              ( -338.79  -860.83   -25.00     0.76)  ; 4
+                              ( -340.31  -859.57   -25.00     0.76)  ; 5
+                              ( -340.82  -859.31   -25.00     0.76)  ; 6
+                              ( -340.95  -859.19   -25.00     0.76)  ; 7
+                              ( -341.96  -858.93   -25.00     0.76)  ; 8
+                              ( -342.72  -858.93   -25.00     0.76)  ; 9
+                              ( -345.25  -858.17   -25.00     0.76)  ; 10
+                              ( -346.14  -858.17   -25.00     0.76)  ; 11
+                              ( -346.90  -857.79   -25.00     0.76)  ; 12
+                              ( -347.28  -857.79   -25.00     0.76)  ; 13
+                              ( -347.65  -857.79   -25.00     0.76)  ; 14
+                              ( -349.05  -857.79   -25.00     0.76)  ; 15
+                              ( -349.55  -857.79   -25.00     0.76)  ; 16
+                              ( -350.57  -857.67   -25.00     0.76)  ; 17
+                              ( -351.07  -857.67   -25.00     0.76)  ; 18
+                              ( -351.20  -857.54   -25.00     0.76)  ; 19
+                              ( -351.83  -857.54   -25.00     0.76)  ; 20
+                              ( -351.96  -857.54   -25.00     0.76)  ; 21
+                              ( -352.34  -857.54   -25.00     0.76)  ; 22
+                              ( -352.72  -857.54   -25.00     0.76)  ; 23
+                              ( -353.48  -857.54   -25.00     0.76)  ; 24
+                              ( -353.60  -857.54   -25.00     0.76)  ; 25
+                               Normal
+                            )  ;  End of split
+                          )  ;  End of split
+                        |
+                          ( -321.96  -860.96   -24.25     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-2-1-2
+                          ( -323.73  -859.19   -24.25     0.76)  ; 2
+                          ( -324.87  -857.04   -24.25     0.76)  ; 3
+                          ( -325.00  -856.78   -24.25     0.76)  ; 4
+                          ( -326.14  -854.88   -24.25     0.76)  ; 5
+                          ( -329.93  -853.49   -24.25     0.76)  ; 6
+                          ( -332.84  -852.86   -24.25     0.76)  ; 7
+                          ( -332.97  -852.86   -24.25     0.76)  ; 8
+                          ( -334.87  -852.60   -24.25     0.76)  ; 9
+                          ( -335.25  -852.60   -24.25     0.76)  ; 10
+                          ( -336.64  -852.60   -24.25     0.76)  ; 11
+                          ( -336.77  -852.60   -24.25     0.76)  ; 12
+                          ( -337.40  -852.48   -24.25     0.76)  ; 13
+                          ( -337.53  -852.35   -24.25     0.76)  ; 14
+                          ( -337.91  -852.35   -24.25     0.76)  ; 15
+                           Normal
+                        )  ;  End of split
+                      |
+                        ( -297.91  -868.43   -24.25     1.39)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2
+                        ( -300.69  -865.26   -24.25     1.39)  ; 2
+                        ( -303.10  -862.35   -24.25     1.39)  ; 3
+                        ( -303.73  -861.59   -24.25     1.39)  ; 4
+                        (
+                          ( -303.35  -859.44   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-1
+                          ( -303.10  -855.52   -24.25     0.89)  ; 2
+                          ( -302.46  -853.74   -24.25     0.89)  ; 3
+                          (
+                            ( -304.13  -852.04   -25.50     0.64)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-1-1
+                            ( -304.29  -851.88   -25.50     0.64)  ; 2
+                            ( -307.63  -851.08   -25.50     0.64)  ; 3
+                            ( -307.95  -851.40   -25.50     0.64)  ; 4
+                            ( -312.25  -851.24   -25.50     0.64)  ; 5
+                             Normal
+                          |
+                            ( -300.41  -851.38   -24.25     0.76)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-1-2
+                            ( -300.29  -851.25   -24.25     0.76)  ; 2
+                            ( -297.76  -848.98   -24.25     0.76)  ; 3
+                            ( -297.63  -848.72   -24.25     0.76)  ; 4
+                            ( -297.38  -846.82   -24.25     0.76)  ; 5
+                            ( -297.38  -846.57   -24.25     0.76)  ; 6
+                            ( -297.25  -842.39   -24.25     0.76)  ; 7
+                            ( -297.25  -842.27   -24.25     0.76)  ; 8
+                             Normal
+                          )  ;  End of split
+                        |
+                          ( -306.25  -860.31   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2
+                          ( -309.16  -858.67   -24.25     0.89)  ; 2
+                          ( -310.43  -858.16   -24.25     0.89)  ; 3
+                          ( -311.19  -857.65   -24.25     0.89)  ; 4
+                          (
+                            ( -314.73  -858.41   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-1
+                            ( -315.11  -858.41   -24.25     0.89)  ; 2
+                            ( -317.01  -858.79   -24.25     0.89)  ; 3
+                            ( -317.65  -858.79   -24.25     0.89)  ; 4
+                            ( -318.41  -858.92   -24.25     0.89)  ; 5
+                            ( -319.16  -859.05   -24.25     0.89)  ; 6
+                            ( -319.67  -859.05   -24.25     0.89)  ; 7
+                             Normal
+                          |
+                            ( -311.19  -857.02   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-2
+                            (
+                              ( -314.35  -856.64   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-2-1
+                              ( -316.00  -855.37   -24.25     0.89)  ; 2
+                              ( -316.38  -855.37   -24.25     0.89)  ; 3
+                              (
+                                ( -319.92  -854.87   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-2-1-1
+                                ( -320.05  -854.87   -24.25     0.89)  ; 2
+                                ( -321.44  -854.74   -24.25     0.89)  ; 3
+                                ( -321.70  -854.49   -24.25     0.89)  ; 4
+                                ( -322.58  -853.86   -24.25     0.89)  ; 5
+                                ( -322.71  -853.60   -24.25     0.89)  ; 6
+                                ( -322.84  -853.60   -24.25     0.89)  ; 7
+                                ( -323.47  -852.97   -24.25     0.89)  ; 8
+                                ( -323.85  -852.72   -24.25     0.89)  ; 9
+                                ( -324.99  -852.08   -24.25     0.89)  ; 10
+                                ( -325.49  -851.96   -24.25     0.89)  ; 11
+                                ( -325.75  -851.96   -24.25     0.89)  ; 12
+                                ( -326.51  -851.58   -24.25     0.89)  ; 13
+                                ( -327.01  -851.45   -24.25     0.89)  ; 14
+                                ( -327.27  -851.45   -24.25     0.89)  ; 15
+                                ( -328.15  -851.32   -24.25     0.89)  ; 16
+                                ( -328.79  -851.32   -24.25     0.89)  ; 17
+                                ( -329.16  -851.32   -24.25     0.89)  ; 18
+                                 Normal
+                              |
+                                ( -318.79  -853.48   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-2-1-2
+                                ( -318.91  -853.48   -24.25     0.89)  ; 2
+                                ( -320.18  -852.34   -24.25     0.89)  ; 3
+                                ( -320.94  -851.58   -24.25     0.89)  ; 4
+                                ( -321.82  -850.69   -24.25     0.89)  ; 5
+                                ( -321.82  -850.56   -24.25     0.89)  ; 6
+                                ( -321.95  -850.44   -24.25     0.89)  ; 7
+                                ( -322.58  -849.93   -24.25     0.89)  ; 8
+                                ( -322.96  -849.68   -24.25     0.89)  ; 9
+                                ( -324.48  -848.92   -24.25     0.89)  ; 10
+                                ( -324.73  -848.67   -24.25     0.89)  ; 11
+                                ( -324.86  -848.67   -24.25     0.89)  ; 12
+                                ( -325.75  -848.41   -24.25     0.89)  ; 13
+                                ( -326.00  -848.41   -24.25     0.89)  ; 14
+                                ( -326.38  -848.29   -24.25     0.89)  ; 15
+                                ( -327.52  -848.29   -24.25     0.89)  ; 16
+                                ( -327.90  -848.29   -24.25     0.89)  ; 17
+                                ( -328.66  -848.29   -24.25     0.89)  ; 18
+                                (
+                                  ( -330.30  -846.39   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-2-1-2-1
+                                  ( -331.82  -845.00   -24.25     0.89)  ; 2
+                                  ( -332.08  -844.74   -24.25     0.89)  ; 3
+                                  ( -332.08  -844.62   -24.25     0.89)  ; 4
+                                  ( -332.71  -843.60   -24.25     0.89)  ; 5
+                                  ( -332.96  -842.97   -24.25     0.89)  ; 6
+                                  ( -333.09  -841.83   -24.25     0.89)  ; 7
+                                   Normal
+                                |
+                                  ( -331.57  -848.79   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-2-1-2-2
+                                  ( -332.96  -848.79   -24.25     0.89)  ; 2
+                                  (
+                                    ( -335.49  -849.30   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-2-1-2-2-1
+                                    ( -335.87  -849.30   -24.25     0.89)  ; 2
+                                    ( -337.65  -849.30   -24.25     0.89)  ; 3
+                                    ( -338.53  -849.30   -24.25     0.89)  ; 4
+                                    ( -339.16  -849.43   -24.25     0.89)  ; 5
+                                    ( -339.42  -849.55   -24.25     0.89)  ; 6
+                                    ( -339.67  -849.55   -24.25     0.89)  ; 7
+                                    ( -339.80  -849.68   -24.25     0.89)  ; 8
+                                    ( -339.92  -849.68   -24.25     0.89)  ; 9
+                                     Normal
+                                  |
+                                    ( -335.75  -846.39   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-2-1-2-2-2
+                                    ( -335.87  -846.26   -24.25     0.89)  ; 2
+                                    ( -336.76  -845.37   -24.25     0.89)  ; 3
+                                    ( -336.76  -845.12   -24.25     0.89)  ; 4
+                                    ( -337.65  -843.73   -24.25     0.89)  ; 5
+                                     Normal
+                                  )  ;  End of split
+                                )  ;  End of split
+                              )  ;  End of split
+                            |
+                              ( -312.08  -853.35   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-1-2-2-2-2-2-2
+                              ( -314.23  -850.94   -24.25     0.89)  ; 2
+                              ( -315.87  -849.43   -24.25     0.89)  ; 3
+                              ( -316.13  -849.17   -24.25     0.89)  ; 4
+                              ( -316.25  -849.17   -24.25     0.89)  ; 5
+                              ( -317.14  -847.91   -24.25     0.89)  ; 6
+                              ( -317.39  -847.53   -24.25     0.89)  ; 7
+                              ( -318.66  -845.75   -24.25     0.89)  ; 8
+                              ( -318.91  -845.50   -24.25     0.89)  ; 9
+                              ( -319.16  -845.25   -24.25     0.89)  ; 10
+                              ( -319.54  -844.62   -24.25     0.89)  ; 11
+                              ( -319.80  -844.24   -24.25     0.89)  ; 12
+                              ( -320.81  -843.48   -24.25     0.89)  ; 13
+                              ( -321.70  -842.84   -24.25     0.89)  ; 14
+                              ( -321.95  -842.72   -24.25     0.89)  ; 15
+                              ( -322.46  -842.72   -24.25     0.89)  ; 16
+                               Normal
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  )  ;  End of split
+                |
+                  ( -274.49  -898.78   -23.75     2.66)  ; 1, R-1-1-2-2-2-2-1-2
+                  (
+                    ( -275.00  -902.33   -23.75     2.15)  ; 1, R-1-1-2-2-2-2-1-2-1
+                    ( -276.01  -904.73   -23.75     2.15)  ; 2
+                    (
+                      ( -275.00  -905.62   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1
+                      ( -273.60  -906.50   -23.75     0.76)  ; 2
+                      ( -271.96  -907.90   -23.75     0.76)  ; 3
+                      ( -269.81  -908.28   -23.75     0.76)  ; 4
+                      ( -269.68  -908.28   -23.75     0.76)  ; 5
+                      ( -269.68  -908.40   -23.75     0.76)  ; 6
+                      ( -268.29  -908.91   -23.75     0.76)  ; 7
+                      (
+                        ( -266.89  -910.43   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-1
+                        ( -266.64  -912.58   -23.75     0.76)  ; 2
+                        ( -266.64  -913.09   -23.75     0.76)  ; 3
+                        (
+                          ( -267.15  -916.00   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-1-1
+                          ( -268.29  -918.28   -23.75     0.76)  ; 2
+                          ( -268.29  -918.66   -23.75     0.76)  ; 3
+                          ( -268.54  -920.55   -23.75     0.76)  ; 4
+                          ( -268.54  -921.06   -23.75     0.76)  ; 5
+                          ( -268.79  -922.45   -23.75     0.76)  ; 6
+                          ( -268.92  -922.58   -23.75     0.76)  ; 7
+                          (
+                            ( -270.31  -925.24   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-1-1-1
+                            ( -271.32  -926.63   -23.75     0.76)  ; 2
+                             Normal
+                          |
+                            ( -267.91  -924.61   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-1-1-2
+                            ( -267.65  -924.61   -23.75     0.76)  ; 2
+                            ( -266.51  -924.73   -23.75     0.76)  ; 3
+                            ( -266.01  -924.73   -23.75     0.76)  ; 4
+                            ( -265.37  -925.36   -23.75     0.76)  ; 5
+                            ( -265.12  -925.36   -23.75     0.76)  ; 6
+                             Normal
+                          )  ;  End of split
+                        |
+                          ( -263.10  -915.87   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-1-2
+                          (
+                            ( -262.21  -920.43   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-1-2-1
+                            ( -262.21  -922.45   -23.75     0.76)  ; 2
+                            ( -262.46  -922.71   -23.75     0.76)  ; 3
+                            ( -263.10  -923.47   -23.75     0.76)  ; 4
+                            ( -263.22  -923.59   -23.75     0.76)  ; 5
+                            ( -263.35  -923.72   -23.75     0.76)  ; 6
+                             Normal
+                          |
+                            ( -259.93  -917.64   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-1-2-2
+                            ( -258.79  -918.15   -23.75     0.76)  ; 2
+                            ( -258.41  -918.40   -23.75     0.76)  ; 3
+                            ( -256.01  -920.05   -23.75     0.76)  ; 4
+                            ( -255.75  -920.17   -23.75     0.76)  ; 5
+                            ( -254.49  -920.81   -23.75     0.76)  ; 6
+                            ( -253.60  -920.93   -23.75     0.76)  ; 7
+                            ( -253.10  -921.31   -23.75     0.76)  ; 8
+                             Normal
+                          )  ;  End of split
+                        )  ;  End of split
+                      |
+                        ( -264.74  -908.78   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-2
+                        (
+                          ( -261.70  -907.26   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-2-1
+                          ( -261.70  -905.87   -23.75     0.76)  ; 2
+                           Normal
+                        |
+                          ( -259.43  -909.92   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-2-2
+                          (
+                            ( -259.30  -912.83   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-2-2-1
+                            ( -259.30  -913.09   -23.75     0.76)  ; 2
+                            ( -259.17  -914.98   -23.75     0.76)  ; 3
+                            ( -259.17  -915.49   -23.75     0.76)  ; 4
+                            ( -259.17  -916.38   -23.75     0.76)  ; 5
+                            ( -259.17  -916.50   -23.75     0.76)  ; 6
+                            ( -259.17  -916.88   -23.75     0.76)  ; 7
+                             Normal
+                          |
+                            ( -257.15  -910.05   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-2-2-2
+                            ( -256.89  -910.30   -23.75     0.76)  ; 2
+                            ( -256.51  -910.55   -23.75     0.76)  ; 3
+                            (
+                              ( -253.35  -913.34   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-2-2-2-1
+                              ( -253.10  -913.72   -23.75     0.76)  ; 2
+                              ( -251.96  -915.49   -23.75     0.76)  ; 3
+                              ( -251.83  -915.62   -23.75     0.76)  ; 4
+                              ( -251.58  -915.87   -23.75     0.76)  ; 5
+                              ( -251.45  -916.12   -23.75     0.76)  ; 6
+                              ( -251.32  -916.38   -23.75     0.76)  ; 7
+                              ( -250.94  -917.39   -23.75     0.76)  ; 8
+                              ( -250.69  -918.02   -23.75     0.76)  ; 9
+                               Normal
+                            |
+                              ( -252.97  -911.06   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-1-2-2-2-2
+                              ( -251.32  -911.95   -23.75     0.76)  ; 2
+                              ( -251.07  -912.45   -23.75     0.76)  ; 3
+                              ( -250.94  -912.58   -23.75     0.76)  ; 4
+                              ( -249.68  -912.83   -23.75     0.76)  ; 5
+                              ( -249.43  -913.34   -23.75     0.76)  ; 6
+                              ( -249.17  -913.59   -23.75     0.76)  ; 7
+                              ( -248.79  -913.97   -23.75     0.76)  ; 8
+                              ( -248.54  -914.10   -23.75     0.76)  ; 9
+                              ( -248.03  -914.23   -23.75     0.76)  ; 10
+                              ( -247.27  -914.35   -23.75     0.76)  ; 11
+                              ( -247.02  -914.61   -23.75     0.76)  ; 12
+                              ( -246.51  -914.86   -23.75     0.76)  ; 13
+                              ( -246.26  -915.11   -23.75     0.76)  ; 14
+                              ( -246.13  -915.24   -23.75     0.76)  ; 15
+                              ( -245.75  -915.62   -23.75     0.76)  ; 16
+                              ( -244.99  -915.87   -23.75     0.76)  ; 17
+                               Normal
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    |
+                      ( -276.77  -904.86   -23.75     1.01)  ; 1, R-1-1-2-2-2-2-1-2-1-2
+                      (
+                        ( -276.64  -907.90   -23.75     1.01)  ; 1, R-1-1-2-2-2-2-1-2-1-2-1
+                        ( -276.64  -909.29   -23.75     1.01)  ; 2
+                        (
+                          ( -279.43  -910.81   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-2-1-1
+                          ( -279.55  -910.81   -23.75     0.76)  ; 2
+                          ( -280.94  -911.44   -23.75     0.76)  ; 3
+                          ( -281.20  -911.69   -23.75     0.76)  ; 4
+                          ( -282.08  -912.20   -23.75     0.76)  ; 5
+                          ( -282.34  -912.33   -23.75     0.76)  ; 6
+                          ( -282.46  -912.33   -23.75     0.76)  ; 7
+                          ( -283.10  -912.71   -23.75     0.76)  ; 8
+                          ( -283.73  -913.09   -23.75     0.76)  ; 9
+                          ( -283.98  -913.09   -23.75     0.76)  ; 10
+                          ( -284.87  -913.34   -23.75     0.76)  ; 11
+                           Normal
+                        |
+                          ( -276.26  -911.95   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-2-1-2
+                          ( -276.13  -911.95   -23.75     0.76)  ; 2
+                          ( -275.37  -912.45   -23.75     0.76)  ; 3
+                          (
+                            ( -277.15  -915.36   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-2-1-2-1
+                            ( -277.40  -915.36   -23.75     0.76)  ; 2
+                            ( -278.03  -916.25   -23.75     0.76)  ; 3
+                            ( -278.03  -916.38   -23.75     0.76)  ; 4
+                            ( -278.79  -917.52   -23.75     0.76)  ; 5
+                            ( -279.05  -917.64   -23.75     0.76)  ; 6
+                            ( -279.17  -917.90   -23.75     0.76)  ; 7
+                            ( -279.43  -918.15   -23.75     0.76)  ; 8
+                            ( -279.68  -918.40   -23.75     0.76)  ; 9
+                            ( -279.93  -918.66   -23.75     0.76)  ; 10
+                            ( -280.06  -918.66   -23.75     0.76)  ; 11
+                             Normal
+                          |
+                            ( -274.62  -913.97   -23.75     0.76)  ; 1, R-1-1-2-2-2-2-1-2-1-2-1-2-2
+                            ( -274.49  -913.97   -23.75     0.76)  ; 2
+                            ( -273.60  -915.24   -23.75     0.76)  ; 3
+                            ( -273.48  -915.49   -23.75     0.76)  ; 4
+                            ( -273.48  -916.25   -23.75     0.76)  ; 5
+                            ( -273.48  -916.63   -23.75     0.76)  ; 6
+                            ( -273.48  -917.14   -23.75     0.76)  ; 7
+                            ( -273.35  -917.52   -23.75     0.76)  ; 8
+                            ( -273.35  -917.64   -23.75     0.76)  ; 9
+                            ( -273.35  -918.28   -23.75     0.76)  ; 10
+                            ( -273.60  -918.53   -23.75     0.76)  ; 11
+                            ( -273.60  -918.78   -23.75     0.76)  ; 12
+                            ( -273.60  -919.16   -23.75     0.76)  ; 13
+                             Normal
+                          )  ;  End of split
+                        )  ;  End of split
+                      |
+                        ( -278.41  -905.49   -23.75     1.27)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2
+                        ( -280.82  -906.63   -23.75     1.27)  ; 2
+                        ( -284.62  -907.77   -23.75     1.27)  ; 3
+                        ( -284.87  -907.77   -23.75     1.27)  ; 4
+                        ( -288.03  -908.53   -23.75     1.27)  ; 5
+                        ( -288.16  -908.53   -23.75     1.27)  ; 6
+                        ( -290.31  -908.78   -23.75     1.27)  ; 7
+                        ( -290.69  -908.78   -23.75     1.27)  ; 8
+                        ( -293.60  -909.04   -23.75     1.27)  ; 9
+                        ( -293.73  -909.04   -23.75     1.27)  ; 10
+                        ( -296.39  -909.29   -23.75     1.14)  ; 11
+                        ( -298.79  -910.05   -23.75     1.14)  ; 12
+                        (
+                          ( -303.60  -911.69   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-1
+                          (
+                            ( -305.75  -913.59   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-1-1
+                            (
+                              ( -311.70  -916.25   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-1-1-1
+                              ( -311.58  -916.25   -23.25     0.89)  ; 2
+                              (
+                                ( -313.35  -918.02   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-1-1-1-1
+                                ( -313.60  -918.15   -23.25     0.89)  ; 2
+                                ( -315.75  -918.66   -23.25     0.89)  ; 3
+                                ( -316.26  -918.66   -23.25     0.89)  ; 4
+                                ( -319.68  -919.04   -23.25     0.89)  ; 5
+                                ( -321.32  -919.54   -23.25     0.89)  ; 6
+                                ( -321.70  -919.92   -23.25     0.89)  ; 7
+                                ( -321.83  -919.92   -23.25     0.89)  ; 8
+                                ( -322.46  -920.05   -23.25     0.89)  ; 9
+                                ( -322.72  -920.05   -23.25     0.89)  ; 10
+                                ( -322.97  -919.92   -23.25     0.89)  ; 11
+                                ( -324.11  -919.29   -23.25     0.89)  ; 12
+                                 Normal
+                              |
+                                ( -313.86  -915.24   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-1-1-1-2
+                                ( -317.02  -914.98   -23.25     0.89)  ; 2
+                                ( -319.55  -913.72   -23.25     0.89)  ; 3
+                                ( -319.68  -913.72   -23.25     0.89)  ; 4
+                                ( -321.07  -913.85   -23.25     0.89)  ; 5
+                                ( -321.45  -913.85   -23.25     0.89)  ; 6
+                                ( -323.48  -913.97   -23.25     0.89)  ; 7
+                                ( -323.86  -914.10   -23.25     0.89)  ; 8
+                                ( -327.53  -914.48   -23.25     0.89)  ; 9
+                                ( -327.65  -914.48   -23.25     0.89)  ; 10
+                                ( -329.05  -914.98   -23.25     0.89)  ; 11
+                                ( -329.43  -915.11   -23.25     0.89)  ; 12
+                                ( -330.94  -916.50   -23.25     0.89)  ; 13
+                                ( -331.20  -916.63   -23.25     0.89)  ; 14
+                                ( -333.98  -916.88   -23.25     0.89)  ; 15
+                                ( -334.24  -916.88   -23.25     0.89)  ; 16
+                                ( -336.26  -917.14   -23.25     0.89)  ; 17
+                                ( -336.51  -917.14   -23.25     0.89)  ; 18
+                                 Normal
+                              )  ;  End of split
+                            |
+                              ( -308.16  -912.71   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-1-1-2
+                              ( -310.69  -912.83   -23.00     0.89)  ; 2
+                              ( -310.94  -912.83   -23.00     0.89)  ; 3
+                              ( -312.34  -912.96   -23.00     0.89)  ; 4
+                              ( -312.84  -913.21   -23.00     0.89)  ; 5
+                              ( -313.60  -913.85   -23.00     0.89)  ; 6
+                               Normal
+                            )  ;  End of split
+                          |
+                            ( -306.01  -910.43   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-1-2
+                            ( -308.16  -909.04   -23.00     0.89)  ; 2
+                            ( -308.41  -908.78   -23.00     0.89)  ; 3
+                            ( -310.18  -907.77   -23.00     0.89)  ; 4
+                            (
+                              ( -311.32  -905.87   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-1-2-1
+                              ( -313.73  -904.23   -23.00     0.89)  ; 2
+                              ( -313.98  -904.23   -23.00     0.89)  ; 3
+                              ( -316.89  -903.85   -23.00     0.89)  ; 4
+                              ( -317.15  -903.97   -23.00     0.89)  ; 5
+                              ( -317.53  -903.97   -23.00     0.89)  ; 6
+                              ( -320.82  -904.35   -23.00     0.89)  ; 7
+                              ( -321.07  -904.35   -23.00     0.89)  ; 8
+                              ( -322.72  -905.24   -23.00     0.89)  ; 9
+                              ( -323.10  -905.49   -23.00     0.89)  ; 10
+                              ( -324.62  -906.50   -23.00     0.89)  ; 11
+                              ( -325.00  -906.63   -23.00     0.89)  ; 12
+                              ( -325.75  -906.88   -23.00     0.89)  ; 13
+                               Normal
+                            |
+                              ( -311.96  -909.29   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-1-2-2
+                              ( -315.00  -909.92   -23.00     0.89)  ; 2
+                              ( -315.75  -909.92   -23.00     0.89)  ; 3
+                              ( -318.41  -909.67   -23.00     0.89)  ; 4
+                              ( -318.92  -909.67   -23.00     0.89)  ; 5
+                              ( -320.31  -909.67   -23.00     0.89)  ; 6
+                              ( -320.56  -909.80   -23.00     0.89)  ; 7
+                              ( -320.82  -909.80   -23.00     0.89)  ; 8
+                              ( -321.32  -909.80   -23.00     0.89)  ; 9
+                              ( -321.96  -909.80   -23.00     0.89)  ; 10
+                              ( -322.08  -909.67   -23.00     0.89)  ; 11
+                              ( -323.60  -910.68   -23.25     0.89)  ; 12
+                              ( -323.73  -910.68   -23.25     0.89)  ; 13
+                              ( -323.73  -910.81   -23.25     0.89)  ; 14
+                              ( -326.51  -911.19   -23.25     0.89)  ; 15
+                               Normal
+                            )  ;  End of split
+                          )  ;  End of split
+                        |
+                          ( -300.18  -906.63   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-2
+                          ( -302.59  -904.48   -23.00     0.89)  ; 2
+                          ( -304.11  -902.58   -23.00     0.89)  ; 3
+                          ( -304.49  -902.07   -23.00     0.89)  ; 4
+                          ( -305.63  -900.43   -23.00     0.89)  ; 5
+                          (
+                            ( -306.77  -899.04   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-2-1
+                            ( -308.16  -898.78   -23.00     0.89)  ; 2
+                             Normal
+                          |
+                            ( -303.86  -897.90   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-1-2-2-2-2
+                            ( -303.73  -897.77   -23.00     0.89)  ; 2
+                            ( -303.73  -897.39   -23.00     0.89)  ; 3
+                             Normal
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  |
+                    ( -278.41  -897.90   -23.75     2.03)  ; 1, R-1-1-2-2-2-2-1-2-2
+                    ( -282.46  -897.39   -23.75     2.03)  ; 2
+                    ( -282.72  -897.39   -23.75     2.03)  ; 3
+                    ( -287.27  -896.50   -23.75     2.03)  ; 4
+                    ( -290.82  -895.87   -23.75     2.03)  ; 5
+                    ( -297.27  -894.48   -23.75     2.03)  ; 6
+                    ( -297.27  -894.48   -24.25     0.89)  ; 7
+                    (
+                      ( -298.79  -891.69   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-1
+                      ( -299.55  -890.43   -24.25     0.89)  ; 2
+                      (
+                        ( -299.43  -886.00   -24.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-1-1
+                        ( -298.92  -883.59   -24.25     0.89)  ; 2
+                         Normal
+                      |
+                        ( -303.73  -888.28   -24.50     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2
+                        ( -304.64  -887.84   -24.50     0.89)  ; 2
+                        ( -306.21  -887.36   -24.50     0.89)  ; 3
+                        ( -308.59  -885.31   -24.50     0.89)  ; 4
+                        (
+                          ( -308.59  -882.44   -24.50     0.64)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-1
+                          ( -308.43  -882.28   -24.50     0.64)  ; 2
+                          ( -308.27  -879.90   -24.50     0.64)  ; 3
+                          (
+                            ( -308.11  -878.14   -24.50     0.64)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-1-1
+                            ( -308.11  -877.51   -24.50     0.64)  ; 2
+                            ( -309.70  -874.80   -24.50     0.64)  ; 3
+                            ( -310.02  -874.64   -24.50     0.64)  ; 4
+                            ( -310.34  -874.48   -24.50     0.64)  ; 5
+                            ( -310.66  -874.16   -24.50     0.64)  ; 6
+                            ( -310.98  -874.01   -24.50     0.64)  ; 7
+                            ( -311.30  -873.85   -24.50     0.64)  ; 8
+                            ( -311.61  -873.85   -24.50     0.64)  ; 9
+                            ( -311.77  -873.69   -24.50     0.64)  ; 10
+                            ( -312.73  -873.69   -24.50     0.64)  ; 11
+                            ( -313.21  -873.53   -24.50     0.64)  ; 12
+                            ( -313.68  -873.37   -24.50     0.64)  ; 13
+                            ( -314.00  -873.21   -24.50     0.64)  ; 14
+                            ( -314.32  -873.05   -24.50     0.64)  ; 15
+                            ( -314.80  -873.05   -24.50     0.64)  ; 16
+                            ( -314.64  -873.37   -24.50     0.64)  ; 17
+                             Normal
+                          |
+                            ( -310.02  -879.26   -24.00     0.64)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-1-2
+                            ( -310.18  -879.10   -24.00     0.64)  ; 2
+                            ( -315.59  -876.39   -24.00     0.64)  ; 3
+                            ( -315.91  -876.39   -24.00     0.64)  ; 4
+                            ( -318.14  -874.96   -24.00     0.64)  ; 5
+                            ( -317.98  -874.64   -24.00     0.64)  ; 6
+                             Normal
+                          )  ;  End of split
+                        |
+                          ( -308.67  -885.62   -24.50     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-2
+                          ( -310.98  -885.15   -24.50     0.89)  ; 2
+                          (
+                            ( -312.73  -882.28   -25.75     0.64)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-2-1
+                            ( -312.89  -882.12   -25.75     0.64)  ; 2
+                            ( -314.96  -879.74   -25.75     0.64)  ; 3
+                            ( -315.12  -879.74   -25.75     0.64)  ; 4
+                             Normal
+                          |
+                            ( -312.01  -885.42   -24.50     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-2-2
+                            ( -314.62  -886.12   -24.50     0.89)  ; 2
+                            ( -314.74  -886.25   -24.50     0.89)  ; 3
+                            ( -316.77  -887.01   -24.50     0.89)  ; 4
+                            (
+                              ( -321.70  -889.92   -24.50     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-2-2-1
+                              ( -322.08  -889.92   -24.50     0.89)  ; 2
+                              ( -324.11  -889.54   -24.50     0.89)  ; 3
+                              ( -324.49  -889.54   -24.50     0.89)  ; 4
+                              ( -325.37  -889.42   -24.50     0.89)  ; 5
+                               Normal
+                            |
+                              ( -321.32  -885.36   -24.50     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-2-2-2
+                              (
+                                ( -323.98  -884.86   -24.50     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-2-2-2-1
+                                ( -324.24  -884.73   -24.50     0.89)  ; 2
+                                ( -324.49  -884.61   -24.50     0.89)  ; 3
+                                ( -325.12  -882.96   -24.50     0.89)  ; 4
+                                ( -325.37  -882.45   -24.50     0.89)  ; 5
+                                 Normal
+                              |
+                                ( -320.82  -882.83   -24.50     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-1-2-2-2-2-2
+                                ( -320.69  -882.83   -24.50     0.89)  ; 2
+                                ( -319.43  -882.58   -24.50     0.89)  ; 3
+                                 Normal
+                              )  ;  End of split
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    |
+                      ( -300.18  -893.72   -23.25     1.77)  ; 1, R-1-1-2-2-2-2-1-2-2-2
+                      ( -302.97  -894.10   -23.25     1.77)  ; 2
+                      ( -303.10  -894.10   -23.25     1.77)  ; 3
+                      ( -305.50  -894.35   -23.25     1.77)  ; 4
+                      (
+                        ( -306.64  -896.00   -23.25     1.52)  ; 1, R-1-1-2-2-2-2-1-2-2-2-1
+                        ( -309.17  -897.14   -23.25     1.52)  ; 2
+                        ( -309.55  -897.14   -23.25     1.52)  ; 3
+                        ( -309.81  -897.26   -23.25     1.52)  ; 4
+                        ( -315.22  -900.73   -24.50     1.52)  ; 5
+                        (
+                          ( -315.98  -904.28   -25.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-1-1
+                          ( -316.24  -904.53   -25.25     1.01)  ; 2
+                          ( -319.28  -907.57   -25.25     1.01)  ; 3
+                          ( -319.53  -907.57   -25.25     1.01)  ; 4
+                           Normal
+                        |
+                          ( -318.77  -900.48   -24.75     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-1-2
+                          ( -319.28  -900.48   -24.75     1.01)  ; 2
+                          ( -324.34  -900.48   -25.25     1.01)  ; 3
+                          ( -324.59  -900.48   -25.25     1.01)  ; 4
+                          ( -329.40  -901.75   -24.75     1.01)  ; 5
+                          ( -332.69  -904.53   -24.50     1.01)  ; 6
+                          ( -334.47  -907.57   -24.50     1.01)  ; 7
+                          ( -334.47  -907.82   -24.50     1.01)  ; 8
+                           Normal
+                        )  ;  End of split
+                      |
+                        ( -308.03  -893.59   -23.25     1.52)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2
+                        ( -308.16  -893.59   -23.25     1.52)  ; 2
+                        ( -311.45  -893.47   -23.25     1.52)  ; 3
+                        ( -314.62  -893.09   -23.25     1.52)  ; 4
+                        (
+                          ( -315.50  -891.57   -23.25     0.63)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-1
+                          ( -316.64  -890.43   -23.25     0.63)  ; 2
+                          ( -318.79  -888.91   -23.25     0.63)  ; 3
+                          ( -320.44  -886.76   -23.25     0.63)  ; 4
+                          ( -321.45  -885.11   -23.25     0.63)  ; 5
+                          ( -321.45  -883.34   -23.25     0.63)  ; 6
+                           Normal
+                        |
+                          ( -315.88  -893.72   -23.25     1.52)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2
+                          ( -318.41  -894.23   -23.25     1.52)  ; 2
+                          ( -318.41  -894.35   -23.25     1.52)  ; 3
+                          ( -318.67  -894.48   -23.25     1.52)  ; 4
+                          ( -319.55  -894.48   -23.25     1.52)  ; 5
+                          ( -319.68  -894.48   -23.25     1.52)  ; 6
+                          (
+                            ( -320.31  -897.52   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-1
+                            ( -321.83  -899.16   -23.25     0.76)  ; 2
+                            ( -323.22  -899.92   -23.25     0.76)  ; 3
+                            ( -323.73  -900.55   -23.25     0.76)  ; 4
+                            (
+                              ( -326.39  -901.44   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-1-1
+                              ( -326.51  -901.44   -23.25     0.76)  ; 2
+                              ( -328.03  -901.57   -23.25     0.76)  ; 3
+                              ( -328.54  -901.69   -23.25     0.76)  ; 4
+                              ( -331.58  -903.85   -23.25     0.76)  ; 5
+                              ( -333.22  -905.49   -23.25     0.76)  ; 6
+                              ( -333.35  -905.62   -23.25     0.76)  ; 7
+                              ( -333.48  -905.74   -23.25     0.76)  ; 8
+                              ( -334.62  -906.88   -23.25     0.76)  ; 9
+                              ( -334.87  -907.14   -23.25     0.76)  ; 10
+                              ( -335.37  -907.90   -23.25     0.76)  ; 11
+                               Normal
+                            |
+                              ( -326.26  -904.35   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-1-2
+                              ( -328.16  -906.88   -23.25     0.76)  ; 2
+                              ( -328.79  -908.66   -23.25     0.76)  ; 3
+                              ( -328.67  -909.54   -23.25     0.76)  ; 4
+                               Normal
+                            )  ;  End of split
+                          |
+                            ( -322.59  -894.35   -23.25     1.39)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2
+                            ( -324.74  -894.35   -23.25     1.39)  ; 2
+                            (
+                              ( -325.37  -892.96   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1
+                              ( -326.77  -891.82   -23.25     0.89)  ; 2
+                              ( -327.65  -890.93   -23.25     0.89)  ; 3
+                              ( -328.16  -890.68   -23.25     0.89)  ; 4
+                              (
+                                ( -328.16  -889.42   -23.75     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1
+                                ( -328.67  -887.90   -23.75     0.89)  ; 2
+                                ( -328.67  -886.12   -23.75     0.89)  ; 3
+                                ( -329.43  -883.97   -23.75     0.89)  ; 4
+                                ( -330.06  -883.09   -23.75     0.89)  ; 5
+                                ( -331.20  -881.82   -23.75     0.89)  ; 6
+                                ( -333.10  -880.81   -23.75     0.76)  ; 7
+                                ( -334.62  -880.30   -23.75     0.76)  ; 8
+                                ( -336.64  -879.04   -23.75     0.76)  ; 9
+                                ( -338.90  -878.33   -25.50     1.01)  ; 10
+                                ( -339.02  -878.07   -25.50     1.01)  ; 11
+                                ( -341.93  -877.06   -25.50     1.01)  ; 12
+                                ( -341.93  -877.19   -25.50     1.01)  ; 13
+                                (
+                                  ( -342.06  -875.54   -25.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-1
+                                  ( -342.06  -875.29   -25.25     1.01)  ; 2
+                                  ( -342.69  -871.49   -25.25     1.01)  ; 3
+                                  (
+                                    ( -340.16  -871.75   -25.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-1-1
+                                    ( -339.91  -871.49   -25.25     1.01)  ; 2
+                                    ( -337.88  -871.87   -25.25     1.01)  ; 3
+                                    ( -337.76  -872.00   -25.25     1.01)  ; 4
+                                    ( -335.22  -873.52   -25.25     1.01)  ; 5
+                                    ( -335.22  -873.64   -25.25     1.01)  ; 6
+                                     Normal
+                                  |
+                                    ( -344.59  -871.11   -25.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-1-2
+                                    ( -345.22  -871.11   -25.25     1.01)  ; 2
+                                    ( -346.74  -870.86   -25.25     1.01)  ; 3
+                                    ( -347.88  -870.61   -25.25     1.01)  ; 4
+                                    ( -350.16  -870.23   -25.25     1.01)  ; 5
+                                    ( -350.41  -870.10   -25.25     1.01)  ; 6
+                                    ( -350.54  -869.97   -25.25     1.01)  ; 7
+                                    ( -351.05  -869.97   -25.25     1.01)  ; 8
+                                    ( -351.30  -869.85   -25.25     1.01)  ; 9
+                                    ( -351.81  -869.85   -25.25     1.01)  ; 10
+                                    ( -351.93  -869.72   -25.25     1.01)  ; 11
+                                    ( -352.06  -869.47   -25.25     1.01)  ; 12
+                                    ( -352.19  -869.34   -25.25     1.01)  ; 13
+                                    ( -352.57  -869.34   -25.25     1.01)  ; 14
+                                    ( -352.95  -869.21   -25.25     1.01)  ; 15
+                                    ( -353.33  -868.96   -25.25     1.01)  ; 16
+                                    ( -353.58  -868.71   -25.25     1.01)  ; 17
+                                    ( -354.09  -868.58   -25.25     1.01)  ; 18
+                                    ( -354.59  -868.33   -25.25     1.01)  ; 19
+                                    ( -355.10  -868.20   -25.25     1.01)  ; 20
+                                    ( -355.73  -867.95   -25.25     1.01)  ; 21
+                                    ( -358.39  -867.95   -25.25     1.01)  ; 22
+                                    ( -358.90  -867.82   -25.25     1.01)  ; 23
+                                    ( -359.53  -867.57   -25.25     1.01)  ; 24
+                                    ( -360.03  -867.57   -25.25     1.01)  ; 25
+                                    ( -360.54  -867.70   -25.25     1.01)  ; 26
+                                    ( -361.05  -867.82   -25.25     1.01)  ; 27
+                                    ( -361.81  -867.82   -25.25     1.01)  ; 28
+                                    ( -362.19  -867.95   -25.25     1.01)  ; 29
+                                    ( -363.20  -867.95   -25.25     1.01)  ; 30
+                                    ( -363.45  -868.07   -25.25     1.01)  ; 31
+                                    ( -363.58  -867.95   -25.25     1.01)  ; 32
+                                    ( -363.45  -867.82   -25.25     1.01)  ; 33
+                                    ( -363.45  -867.95   -25.25     1.01)  ; 34
+                                    (
+                                      ( -364.34  -869.34   -24.75     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-1-2-1
+                                      ( -364.59  -869.47   -24.75     1.01)  ; 2
+                                      ( -366.36  -869.72   -24.75     1.01)  ; 3
+                                       Normal
+                                    |
+                                      ( -364.09  -866.43   -25.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-1-2-2
+                                      ( -364.59  -865.92   -25.25     1.01)  ; 2
+                                      ( -365.98  -863.77   -25.25     1.01)  ; 3
+                                      ( -365.86  -863.77   -25.25     1.01)  ; 4
+                                       Normal
+                                    )  ;  End of split
+                                  )  ;  End of split
+                                |
+                                  ( -344.09  -877.19   -25.50     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-2
+                                  ( -344.09  -877.32   -25.50     1.01)  ; 2
+                                  (
+                                    ( -345.73  -878.71   -25.75     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-2-1
+                                    ( -350.16  -878.83   -25.75     1.01)  ; 2
+                                    ( -350.41  -878.71   -25.75     1.01)  ; 3
+                                    ( -350.67  -878.58   -25.75     1.01)  ; 4
+                                    ( -350.92  -878.45   -25.75     1.01)  ; 5
+                                    ( -351.17  -878.45   -25.75     1.01)  ; 6
+                                    ( -351.30  -878.33   -25.75     1.01)  ; 7
+                                    ( -351.55  -878.33   -25.75     1.01)  ; 8
+                                    ( -351.68  -878.20   -25.75     1.01)  ; 9
+                                    ( -351.93  -878.07   -25.75     1.01)  ; 10
+                                    ( -352.19  -877.95   -25.75     1.01)  ; 11
+                                    ( -352.95  -877.95   -25.75     1.01)  ; 12
+                                    ( -353.20  -877.82   -25.75     1.01)  ; 13
+                                    ( -353.96  -877.82   -25.75     1.01)  ; 14
+                                    ( -354.09  -877.70   -25.75     1.01)  ; 15
+                                    ( -357.12  -877.70   -25.75     1.01)  ; 16
+                                    ( -357.50  -877.57   -25.75     1.01)  ; 17
+                                    ( -357.88  -877.70   -25.75     1.01)  ; 18
+                                    ( -358.52  -877.70   -25.75     1.01)  ; 19
+                                    ( -358.90  -877.57   -25.75     1.01)  ; 20
+                                    ( -359.28  -877.44   -25.75     1.01)  ; 21
+                                    ( -359.53  -877.44   -25.75     1.01)  ; 22
+                                    ( -359.78  -877.32   -25.75     1.01)  ; 23
+                                    ( -360.03  -877.19   -25.75     1.01)  ; 24
+                                    ( -360.29  -877.19   -25.75     1.01)  ; 25
+                                    ( -360.54  -877.06   -25.75     1.01)  ; 26
+                                    ( -360.79  -876.94   -25.75     1.01)  ; 27
+                                    ( -361.05  -876.94   -25.75     1.01)  ; 28
+                                    ( -361.30  -876.81   -25.75     1.01)  ; 29
+                                    ( -361.55  -876.68   -25.75     1.01)  ; 30
+                                    ( -361.93  -876.68   -25.75     1.01)  ; 31
+                                    ( -362.19  -876.56   -25.75     1.01)  ; 32
+                                    ( -362.44  -876.56   -25.75     1.01)  ; 33
+                                    ( -362.69  -876.43   -25.75     1.01)  ; 34
+                                    ( -363.71  -876.43   -25.75     1.01)  ; 35
+                                    ( -364.09  -876.56   -25.75     1.01)  ; 36
+                                    ( -364.72  -876.68   -25.75     1.01)  ; 37
+                                    ( -365.35  -876.68   -25.75     1.01)  ; 38
+                                    ( -365.48  -876.94   -25.75     1.01)  ; 39
+                                     Normal
+                                  |
+                                    ( -346.49  -876.18   -25.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-2-2
+                                    ( -346.74  -875.92   -25.25     1.01)  ; 2
+                                    ( -349.91  -874.78   -25.25     1.01)  ; 3
+                                    (
+                                      ( -351.43  -875.67   -25.75     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-2-2-1
+                                      ( -351.68  -875.54   -25.75     1.01)  ; 2
+                                      ( -355.22  -875.54   -25.75     1.01)  ; 3
+                                      ( -355.35  -875.54   -25.75     1.01)  ; 4
+                                      ( -358.90  -875.16   -25.75     1.01)  ; 5
+                                      ( -359.15  -875.04   -25.75     1.01)  ; 6
+                                      ( -361.55  -874.53   -25.75     1.01)  ; 7
+                                      ( -361.68  -874.66   -25.75     1.01)  ; 8
+                                       Normal
+                                    |
+                                      ( -351.68  -873.26   -25.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-1-2-2-2
+                                       Generated
+                                    )  ;  End of split
+                                  )  ;  End of split
+                                )  ;  End of split
+                              |
+                                ( -331.07  -888.53   -24.00     1.14)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-2
+                                ( -334.11  -887.39   -24.00     1.14)  ; 2
+                                ( -336.13  -886.38   -24.00     1.14)  ; 3
+                                (
+                                  ( -338.67  -887.26   -24.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-2-1
+                                  ( -339.05  -887.26   -24.00     0.89)  ; 2
+                                  ( -341.45  -886.76   -24.00     0.89)  ; 3
+                                  ( -343.22  -886.25   -24.00     0.89)  ; 4
+                                  ( -343.73  -886.25   -24.00     0.89)  ; 5
+                                  ( -346.26  -886.25   -24.00     0.89)  ; 6
+                                  ( -346.77  -886.25   -24.00     0.89)  ; 7
+                                  ( -347.53  -886.25   -24.00     0.89)  ; 8
+                                  ( -347.91  -886.25   -24.00     0.89)  ; 9
+                                  ( -349.55  -885.49   -24.00     0.89)  ; 10
+                                   Normal
+                                |
+                                  ( -338.29  -884.86   -24.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-2-2
+                                  ( -340.31  -883.85   -24.00     0.89)  ; 2
+                                  (
+                                    ( -341.32  -882.58   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-2-2-1
+                                    ( -342.84  -881.19   -24.00     0.76)  ; 2
+                                    ( -344.24  -880.17   -24.00     0.76)  ; 3
+                                    ( -344.49  -879.92   -24.00     0.76)  ; 4
+                                    ( -345.25  -879.42   -24.00     0.76)  ; 5
+                                     Normal
+                                  |
+                                    ( -342.97  -883.09   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-1-2-2-2
+                                    ( -345.75  -882.33   -24.00     0.76)  ; 2
+                                    ( -345.88  -882.20   -24.00     0.76)  ; 3
+                                    ( -347.40  -881.82   -24.00     0.76)  ; 4
+                                    ( -347.65  -881.82   -24.00     0.76)  ; 5
+                                    ( -349.30  -882.07   -24.00     0.76)  ; 6
+                                    ( -349.68  -882.07   -24.00     0.76)  ; 7
+                                    ( -350.94  -882.83   -24.00     0.76)  ; 8
+                                    ( -351.07  -882.96   -24.00     0.76)  ; 9
+                                    ( -351.96  -883.34   -24.00     0.76)  ; 10
+                                    ( -352.46  -883.34   -24.00     0.76)  ; 11
+                                    ( -355.12  -884.86   -24.00     0.76)  ; 12
+                                     Normal
+                                  )  ;  End of split
+                                )  ;  End of split
+                              )  ;  End of split
+                            |
+                              ( -328.54  -895.87   -23.25     1.65)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2
+                              (
+                                ( -330.56  -895.36   -23.25     1.27)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1
+                                ( -331.32  -895.36   -23.25     1.27)  ; 2
+                                ( -331.45  -895.36   -23.25     1.27)  ; 3
+                                (
+                                  ( -333.48  -893.97   -23.25     1.14)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-1
+                                  ( -334.62  -893.59   -23.25     1.14)  ; 2
+                                  ( -335.12  -893.59   -23.25     1.14)  ; 3
+                                  ( -337.91  -893.21   -23.25     1.14)  ; 4
+                                  ( -338.16  -893.21   -23.25     1.14)  ; 5
+                                  ( -340.69  -893.21   -23.25     1.14)  ; 6
+                                  ( -340.82  -893.21   -23.25     1.14)  ; 7
+                                  (
+                                    ( -343.10  -892.33   -23.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-1-1
+                                    ( -345.12  -890.17   -23.25     1.01)  ; 2
+                                    ( -347.78  -889.54   -23.25     1.01)  ; 3
+                                    ( -348.03  -889.54   -23.25     1.01)  ; 4
+                                    ( -351.07  -888.91   -23.25     1.01)  ; 5
+                                    ( -351.20  -888.91   -23.25     1.01)  ; 6
+                                    ( -353.35  -888.91   -23.25     1.01)  ; 7
+                                    ( -353.73  -888.91   -23.25     1.01)  ; 8
+                                    ( -357.65  -888.78   -23.25     1.01)  ; 9
+                                    ( -359.05  -889.04   -23.25     1.01)  ; 10
+                                    ( -359.17  -889.16   -23.25     1.01)  ; 11
+                                     Normal
+                                  |
+                                    ( -345.75  -894.73   -23.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-1-2
+                                    ( -348.79  -895.24   -23.25     1.01)  ; 2
+                                    ( -350.31  -895.24   -23.25     1.01)  ; 3
+                                    (
+                                      ( -351.45  -893.97   -23.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-1-2-1
+                                      ( -351.58  -893.97   -23.25     1.01)  ; 2
+                                      ( -353.60  -892.58   -23.25     1.01)  ; 3
+                                      ( -353.98  -892.58   -23.25     1.01)  ; 4
+                                      ( -355.88  -892.45   -23.25     1.01)  ; 5
+                                      ( -356.13  -892.45   -23.25     1.01)  ; 6
+                                      ( -357.27  -892.45   -23.25     1.01)  ; 7
+                                      ( -357.78  -892.58   -23.25     1.01)  ; 8
+                                      ( -358.54  -892.58   -23.25     1.01)  ; 9
+                                      ( -358.92  -892.58   -23.25     1.01)  ; 10
+                                      ( -358.92  -892.45   -23.25     1.01)  ; 11
+                                      ( -359.68  -892.07   -23.25     1.01)  ; 12
+                                      ( -359.93  -892.07   -23.25     1.01)  ; 13
+                                      ( -359.93  -891.95   -23.25     1.01)  ; 14
+                                      ( -360.69  -891.19   -23.25     1.01)  ; 15
+                                       Normal
+                                    |
+                                      ( -353.73  -895.74   -23.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-1-2-2
+                                      ( -357.27  -895.24   -23.25     1.01)  ; 2
+                                      ( -357.78  -895.24   -23.25     1.01)  ; 3
+                                      ( -358.92  -894.86   -23.25     1.01)  ; 4
+                                      ( -359.30  -894.86   -23.25     1.01)  ; 5
+                                      ( -359.81  -894.86   -23.25     1.01)  ; 6
+                                      ( -360.56  -894.86   -23.25     1.01)  ; 7
+                                      ( -361.32  -894.61   -23.25     1.01)  ; 8
+                                      ( -361.96  -894.23   -23.25     1.01)  ; 9
+                                      ( -362.59  -893.59   -23.25     1.01)  ; 10
+                                      ( -362.97  -893.59   -23.25     1.01)  ; 11
+                                      ( -363.10  -893.47   -23.25     1.01)  ; 12
+                                      ( -363.22  -893.47   -23.25     1.01)  ; 13
+                                      ( -363.48  -893.47   -23.25     1.01)  ; 14
+                                       Normal
+                                    )  ;  End of split
+                                  )  ;  End of split
+                                |
+                                  ( -333.86  -896.25   -23.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-2
+                                  ( -335.12  -896.76   -23.25     1.01)  ; 2
+                                  ( -335.12  -896.88   -23.25     1.01)  ; 3
+                                  (
+                                    ( -337.27  -896.63   -23.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-2-1
+                                    ( -337.53  -896.63   -23.25     1.01)  ; 2
+                                    ( -340.94  -896.25   -23.25     1.01)  ; 3
+                                    ( -342.21  -896.88   -23.25     1.01)  ; 4
+                                    ( -342.46  -897.14   -23.25     1.01)  ; 5
+                                    ( -343.86  -897.77   -23.25     1.01)  ; 6
+                                    ( -344.11  -897.90   -23.25     1.01)  ; 7
+                                    ( -344.49  -898.02   -23.25     1.01)  ; 8
+                                    ( -345.63  -898.15   -23.25     1.01)  ; 9
+                                    ( -346.39  -898.15   -23.25     1.01)  ; 10
+                                    ( -346.77  -898.15   -23.25     1.01)  ; 11
+                                    ( -347.02  -898.28   -23.25     1.01)  ; 12
+                                    ( -348.79  -898.28   -23.25     1.01)  ; 13
+                                    ( -349.93  -898.28   -23.25     1.01)  ; 14
+                                    ( -350.69  -898.28   -23.25     1.01)  ; 15
+                                    ( -351.58  -898.28   -23.25     1.01)  ; 16
+                                    ( -352.59  -898.40   -23.25     1.01)  ; 17
+                                    ( -354.62  -897.90   -23.25     1.01)  ; 18
+                                    ( -354.87  -897.90   -23.25     1.01)  ; 19
+                                    ( -357.65  -897.26   -23.25     1.01)  ; 20
+                                    ( -358.03  -897.26   -23.25     1.01)  ; 21
+                                    ( -359.05  -897.14   -23.25     1.01)  ; 22
+                                    ( -359.81  -897.14   -23.25     1.01)  ; 23
+                                    ( -360.82  -897.26   -23.25     1.01)  ; 24
+                                    ( -361.58  -897.26   -23.25     1.01)  ; 25
+                                    ( -363.73  -897.39   -23.25     1.01)  ; 26
+                                    ( -364.62  -897.39   -23.25     1.01)  ; 27
+                                    ( -365.37  -897.39   -23.25     1.01)  ; 28
+                                    ( -366.01  -897.52   -23.25     1.01)  ; 29
+                                    ( -366.26  -897.52   -23.25     1.01)  ; 30
+                                    ( -367.27  -898.02   -23.25     1.01)  ; 31
+                                    ( -367.53  -898.02   -23.25     1.01)  ; 32
+                                     Normal
+                                  |
+                                    ( -337.78  -898.78   -23.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-2-2
+                                    ( -337.91  -898.78   -23.25     1.01)  ; 2
+                                    ( -340.06  -899.42   -23.25     1.01)  ; 3
+                                    ( -340.44  -899.54   -23.25     1.01)  ; 4
+                                    ( -343.48  -900.30   -23.25     1.01)  ; 5
+                                    ( -343.73  -900.30   -23.25     1.01)  ; 6
+                                    ( -346.51  -900.43   -23.25     1.01)  ; 7
+                                    ( -347.15  -900.55   -23.25     1.01)  ; 8
+                                    ( -350.06  -900.81   -23.25     1.01)  ; 9
+                                    ( -350.44  -900.93   -23.25     1.01)  ; 10
+                                    ( -355.37  -901.31   -23.25     1.01)  ; 11
+                                    ( -355.63  -901.31   -23.25     1.01)  ; 12
+                                    ( -356.51  -901.31   -23.25     1.01)  ; 13
+                                    (
+                                      ( -358.92  -900.05   -23.25     1.01)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-2-2-1
+                                      ( -360.82  -899.92   -23.25     1.01)  ; 2
+                                      ( -361.58  -899.92   -23.25     1.01)  ; 3
+                                      ( -364.74  -897.39   -23.25     1.01)  ; 4
+                                      ( -364.87  -897.01   -23.25     1.01)  ; 5
+                                      ( -366.64  -895.24   -23.25     1.01)  ; 6
+                                      ( -366.64  -895.11   -23.25     1.01)  ; 7
+                                       Normal
+                                    |
+                                      ( -360.31  -902.71   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-2-2-2
+                                      (
+                                        ( -361.70  -904.10   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-2-2-2-1
+                                        ( -362.21  -904.48   -23.25     0.76)  ; 2
+                                        ( -364.62  -904.35   -23.25     0.76)  ; 3
+                                        ( -364.87  -904.48   -23.25     0.76)  ; 4
+                                        ( -365.12  -904.48   -23.25     0.76)  ; 5
+                                        ( -366.77  -904.23   -23.25     0.76)  ; 6
+                                        ( -367.27  -904.23   -23.25     0.76)  ; 7
+                                        ( -368.54  -905.24   -23.25     0.76)  ; 8
+                                        ( -368.79  -905.36   -23.25     0.76)  ; 9
+                                         Normal
+                                      |
+                                        ( -362.21  -901.57   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-1-2-2-2-2
+                                        ( -362.46  -901.95   -23.25     0.76)  ; 2
+                                        ( -364.36  -900.43   -23.25     0.76)  ; 3
+                                        ( -364.62  -900.30   -23.25     0.76)  ; 4
+                                        ( -364.74  -900.30   -23.25     0.76)  ; 5
+                                        ( -365.88  -900.43   -23.25     0.76)  ; 6
+                                        ( -366.51  -900.43   -23.25     0.76)  ; 7
+                                        ( -367.15  -900.68   -23.25     0.76)  ; 8
+                                        ( -367.91  -901.31   -23.25     0.76)  ; 9
+                                        ( -368.29  -901.31   -23.25     0.76)  ; 10
+                                        ( -368.41  -901.57   -23.25     0.76)  ; 11
+                                        ( -368.54  -901.57   -23.25     0.76)  ; 12
+                                        ( -368.67  -901.57   -23.25     0.76)  ; 13
+                                         Normal
+                                      )  ;  End of split
+                                    )  ;  End of split
+                                  )  ;  End of split
+                                )  ;  End of split
+                              |
+                                ( -332.84  -899.54   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2
+                                ( -334.24  -900.68   -23.25     0.89)  ; 2
+                                ( -334.36  -900.81   -23.25     0.89)  ; 3
+                                ( -336.77  -901.82   -23.25     0.89)  ; 4
+                                (
+                                  ( -337.15  -906.00   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-1
+                                  ( -337.40  -907.64   -23.25     0.89)  ; 2
+                                  ( -337.40  -907.90   -23.25     0.89)  ; 3
+                                  ( -337.53  -908.02   -23.25     0.89)  ; 4
+                                  ( -337.78  -909.29   -23.25     0.89)  ; 5
+                                  ( -337.91  -909.54   -23.25     0.89)  ; 6
+                                   Normal
+                                |
+                                  ( -340.94  -903.47   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2
+                                  ( -341.20  -903.47   -23.25     0.89)  ; 2
+                                  ( -344.62  -904.61   -23.25     0.89)  ; 3
+                                  ( -344.74  -904.73   -23.25     0.89)  ; 4
+                                  ( -346.64  -906.38   -23.25     0.89)  ; 5
+                                  (
+                                    ( -351.20  -904.61   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-1
+                                    ( -351.58  -904.61   -23.25     0.89)  ; 2
+                                    ( -355.00  -904.10   -23.25     0.89)  ; 3
+                                    (
+                                      ( -358.79  -907.90   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-1-1
+                                      ( -359.30  -908.91   -23.25     0.89)  ; 2
+                                      ( -359.43  -908.91   -23.25     0.89)  ; 3
+                                       Normal
+                                    |
+                                      ( -357.40  -903.72   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-1-2
+                                      ( -357.65  -903.72   -23.25     0.89)  ; 2
+                                      (
+                                        ( -360.69  -904.61   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-1-2-1
+                                        ( -362.72  -904.10   -23.25     0.89)  ; 2
+                                        ( -364.74  -904.10   -23.25     0.89)  ; 3
+                                        ( -365.25  -904.10   -23.25     0.89)  ; 4
+                                        ( -366.77  -904.23   -23.25     0.89)  ; 5
+                                         Normal
+                                      )  ;  End of split
+                                    )  ;  End of split
+                                  |
+                                    ( -347.02  -907.26   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2
+                                    (
+                                      ( -345.63  -909.04   -23.25     0.63)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-1
+                                      ( -344.74  -910.30   -23.25     0.63)  ; 2
+                                      ( -344.74  -910.43   -23.25     0.63)  ; 3
+                                      ( -344.36  -912.83   -23.25     0.63)  ; 4
+                                      ( -344.36  -912.96   -23.25     0.63)  ; 5
+                                      ( -343.73  -914.86   -23.25     0.63)  ; 6
+                                      ( -343.60  -914.98   -23.25     0.63)  ; 7
+                                      ( -342.59  -915.49   -23.25     0.63)  ; 8
+                                      ( -342.46  -915.62   -23.25     0.63)  ; 9
+                                      ( -341.70  -915.87   -23.25     0.63)  ; 10
+                                       Normal
+                                    |
+                                      ( -349.93  -908.53   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2
+                                      ( -353.60  -910.05   -23.25     0.76)  ; 2
+                                      ( -353.73  -910.05   -23.25     0.76)  ; 3
+                                      ( -356.51  -911.95   -23.25     0.76)  ; 4
+                                      ( -356.64  -912.07   -23.25     0.76)  ; 5
+                                      ( -358.16  -912.83   -23.25     0.76)  ; 6
+                                      (
+                                        ( -355.63  -916.25   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-1
+                                        (
+                                          ( -351.58  -918.53   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-1-1
+                                          ( -351.70  -918.53   -23.00     0.89)  ; 2
+                                          ( -349.43  -919.42   -23.00     0.89)  ; 3
+                                          ( -349.17  -919.29   -23.00     0.89)  ; 4
+                                          ( -349.05  -919.29   -23.00     0.89)  ; 5
+                                          ( -347.65  -919.04   -23.00     0.89)  ; 6
+                                           Normal
+                                        |
+                                          ( -356.89  -920.17   -23.00     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-1-2
+                                          ( -358.16  -921.95   -23.00     0.89)  ; 2
+                                          ( -359.05  -922.45   -23.00     0.89)  ; 3
+                                           Normal
+                                        )  ;  End of split
+                                      |
+                                        ( -359.68  -912.33   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2
+                                        (
+                                          ( -360.82  -911.06   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-1
+                                          ( -360.94  -910.93   -23.25     0.89)  ; 2
+                                          ( -364.24  -909.42   -23.25     0.89)  ; 3
+                                          ( -366.13  -909.42   -23.25     0.89)  ; 4
+                                          ( -366.89  -909.42   -23.25     0.89)  ; 5
+                                          ( -367.53  -909.54   -23.25     0.89)  ; 6
+                                          ( -367.65  -909.54   -23.25     0.89)  ; 7
+                                          ( -367.91  -909.67   -23.25     0.89)  ; 8
+                                           Normal
+                                        |
+                                          ( -361.83  -914.98   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-2
+                                          (
+                                            ( -363.60  -914.10   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-2-1
+                                            ( -366.64  -913.72   -23.25     0.89)  ; 2
+                                            ( -367.40  -913.72   -23.25     0.89)  ; 3
+                                            ( -368.29  -913.85   -23.25     0.89)  ; 4
+                                            ( -368.54  -913.85   -23.25     0.89)  ; 5
+                                            ( -368.67  -913.97   -23.25     0.89)  ; 6
+                                            ( -369.05  -913.97   -23.25     0.89)  ; 7
+                                            ( -369.68  -913.97   -23.25     0.89)  ; 8
+                                            ( -369.93  -913.97   -23.25     0.89)  ; 9
+                                            ( -370.31  -914.10   -23.25     0.89)  ; 10
+                                             Normal
+                                          |
+                                            ( -362.21  -916.76   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2
+                                            (
+                                              ( -360.44  -920.68   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-1
+                                              ( -360.94  -922.07   -23.25     0.89)  ; 2
+                                              ( -360.94  -922.58   -23.25     0.89)  ; 3
+                                              ( -361.07  -923.47   -23.25     0.89)  ; 4
+                                              ( -361.07  -923.72   -23.25     0.89)  ; 5
+                                               Normal
+                                            |
+                                              ( -365.25  -917.90   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2
+                                              ( -365.37  -917.90   -23.25     0.89)  ; 2
+                                              (
+                                                ( -367.78  -918.02   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-1
+                                                ( -369.81  -918.02   -23.25     0.89)  ; 2
+                                                ( -370.82  -917.39   -23.25     0.89)  ; 3
+                                                ( -371.20  -917.01   -23.25     0.89)  ; 4
+                                                ( -371.58  -916.50   -23.25     0.89)  ; 5
+                                                 Normal
+                                              |
+                                                ( -366.51  -919.92   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2
+                                                (
+                                                  ( -362.84  -922.58   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-1
+                                                  ( -362.84  -922.71   -23.25     0.89)  ; 2
+                                                  ( -362.34  -924.35   -23.25     0.89)  ; 3
+                                                  ( -362.21  -924.73   -23.25     0.89)  ; 4
+                                                  ( -362.21  -924.86   -23.25     0.89)  ; 5
+                                                  ( -362.21  -924.86   -23.25     0.89)  ; 6
+                                                   Normal
+                                                |
+                                                  ( -367.53  -922.45   -23.25     0.89)  ; 1, R-1-1-2-2-2-2-1-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2
+                                                  ( -367.91  -922.83   -23.25     0.89)  ; 2
+                                                  ( -368.03  -924.61   -23.25     0.89)  ; 3
+                                                  ( -367.91  -925.11   -23.25     0.89)  ; 4
+                                                  ( -367.91  -925.24   -23.25     0.89)  ; 5
+                                                  ( -367.91  -925.36   -23.25     0.89)  ; 6
+                                                  ( -367.78  -925.62   -23.25     0.89)  ; 7
+                                                   Normal
+                                                )  ;  End of split
+                                              )  ;  End of split
+                                            )  ;  End of split
+                                          )  ;  End of split
+                                        )  ;  End of split
+                                      )  ;  End of split
+                                    )  ;  End of split
+                                  )  ;  End of split
+                                )  ;  End of split
+                              )  ;  End of split
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  )  ;  End of split
+                )  ;  End of split
+              |
+                ( -263.33  -897.96   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-2
+                ( -262.95  -896.19   -23.25     0.76)  ; 2
+                ( -262.82  -895.94   -23.25     0.76)  ; 3
+                ( -262.82  -895.68   -23.25     0.76)  ; 4
+                ( -262.69  -895.56   -23.25     0.76)  ; 5
+                ( -262.69  -893.03   -23.25     0.76)  ; 6
+                ( -262.82  -892.65   -23.25     0.76)  ; 7
+                ( -262.82  -892.14   -23.25     0.76)  ; 8
+                ( -262.95  -891.76   -23.25     0.76)  ; 9
+                ( -262.95  -891.51   -23.25     0.76)  ; 10
+                ( -263.07  -891.25   -23.25     0.76)  ; 11
+                ( -263.07  -890.49   -23.25     0.76)  ; 12
+                (
+                  ( -263.33  -890.87   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-2-1
+                  ( -264.09  -890.75   -22.75     0.76)  ; 2
+                  ( -264.46  -890.24   -22.75     0.76)  ; 3
+                  ( -265.35  -888.98   -22.75     0.76)  ; 4
+                  ( -266.11  -888.47   -22.75     0.76)  ; 5
+                  ( -266.24  -888.34   -22.75     0.76)  ; 6
+                  ( -266.49  -888.34   -22.75     0.76)  ; 7
+                  ( -266.74  -888.22   -22.75     0.76)  ; 8
+                  ( -266.87  -888.09   -22.75     0.76)  ; 9
+                  ( -267.25  -888.09   -22.75     0.76)  ; 10
+                  ( -267.38  -887.96   -22.75     0.76)  ; 11
+                  ( -267.63  -887.96   -22.75     0.76)  ; 12
+                  ( -267.76  -887.84   -22.75     0.76)  ; 13
+                  ( -268.26  -887.84   -22.75     0.76)  ; 14
+                  ( -268.39  -887.71   -22.75     0.76)  ; 15
+                  ( -268.52  -887.58   -22.75     0.76)  ; 16
+                  ( -268.64  -887.46   -22.75     0.76)  ; 17
+                  ( -268.90  -887.46   -22.75     0.76)  ; 18
+                  ( -269.02  -887.33   -22.75     0.76)  ; 19
+                  ( -269.40  -887.33   -22.75     0.76)  ; 20
+                  ( -269.27  -887.33   -22.75     0.76)  ; 21
+                   Normal
+                |
+                  ( -262.19  -888.60   -23.25     0.76)  ; 1, R-1-1-2-2-2-2-2-2
+                  ( -261.93  -888.34   -23.25     0.76)  ; 2
+                  ( -260.41  -887.08   -23.25     0.76)  ; 3
+                  ( -260.16  -886.95   -23.25     0.76)  ; 4
+                  ( -257.50  -886.06   -23.25     0.76)  ; 5
+                  ( -257.25  -886.06   -23.25     0.76)  ; 6
+                  ( -254.84  -887.08   -23.25     0.76)  ; 7
+                  ( -254.72  -887.08   -23.25     0.76)  ; 8
+                  ( -253.58  -889.10   -23.25     0.76)  ; 9
+                  ( -253.45  -889.36   -23.25     0.76)  ; 10
+                  ( -253.07  -891.13   -23.50     0.76)  ; 11
+                  ( -252.06  -894.04   -23.50     0.76)  ; 12
+                  ( -252.06  -894.42   -23.50     0.76)  ; 13
+                  ( -251.93  -894.67   -23.50     0.76)  ; 14
+                  ( -251.93  -894.92   -23.50     0.76)  ; 15
+                  ( -251.81  -894.92   -23.50     0.76)  ; 16
+                  (
+                    ( -252.06  -896.32   -24.00     0.76)  ; 1, R-1-1-2-2-2-2-2-2-1
+                    ( -252.31  -896.70   -24.00     0.76)  ; 2
+                    ( -253.07  -900.37   -24.00     0.76)  ; 3
+                    ( -253.07  -902.14   -24.00     0.76)  ; 4
+                    ( -253.07  -902.01   -24.00     0.76)  ; 5
+                     Normal
+                  |
+                    ( -251.17  -896.32   -22.75     0.76)  ; 1, R-1-1-2-2-2-2-2-2-2
+                    ( -250.16  -898.47   -22.75     0.76)  ; 2
+                    ( -249.40  -899.48   -22.75     0.76)  ; 3
+                    ( -249.15  -899.99   -22.75     0.76)  ; 4
+                    ( -249.02  -900.24   -22.75     0.76)  ; 5
+                    ( -248.64  -900.62   -22.75     0.76)  ; 6
+                    ( -248.52  -900.75   -22.75     0.76)  ; 7
+                    ( -248.39  -900.87   -22.75     0.76)  ; 8
+                    ( -248.26  -901.00   -22.75     0.76)  ; 9
+                    ( -248.14  -901.00   -22.75     0.76)  ; 10
+                     Normal
+                  )  ;  End of split
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          )  ;  End of split
+        )  ;  End of split
+      )  ;  End of split
+    |
+      ( -228.91  -935.16   -25.00     1.01)  ; 1, R-1-2
+      ( -228.91  -935.42   -25.00     1.01)  ; 2
+      ( -224.86  -938.20   -25.00     1.01)  ; 3
+      ( -224.86  -938.45   -25.00     1.01)  ; 4
+      ( -220.56  -940.99   -25.50     1.01)  ; 5
+      ( -220.30  -941.24   -25.50     1.01)  ; 6
+      ( -214.73  -943.26   -25.50     1.01)  ; 7
+      ( -214.48  -943.77   -25.50     1.01)  ; 8
+      (
+        ( -210.43  -944.28   -26.00     1.01)  ; 1, R-1-2-1
+        ( -209.92  -944.53   -26.00     1.01)  ; 2
+        ( -206.63  -942.76   -26.00     1.01)  ; 3
+         Normal
+      |
+        ( -213.97  -947.57   -25.75     1.01)  ; 1, R-1-2-2
+        ( -213.97  -947.82   -25.75     1.01)  ; 2
+        (
+          ( -216.76  -950.35   -25.25     1.01)  ; 1, R-1-2-2-1
+          ( -216.76  -950.86   -25.25     1.01)  ; 2
+           Normal
+        |
+          ( -210.68  -949.85   -26.00     1.01)  ; 1, R-1-2-2-2
+          ( -210.43  -949.59   -26.00     1.01)  ; 2
+          (
+            ( -206.38  -949.09   -26.00     1.01)  ; 1, R-1-2-2-2-1
+            ( -205.87  -948.83   -26.00     1.01)  ; 2
+             Normal
+          |
+            ( -209.92  -952.89   -26.00     1.01)  ; 1, R-1-2-2-2-2
+            ( -209.67  -953.39   -26.00     1.01)  ; 2
+             Normal
+          )  ;  End of split
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  |
+    ( -234.12  -955.36   -25.75     1.90)  ; 1, R-2
+    ( -238.04  -956.49   -25.75     1.90)  ; 2
+    ( -242.35  -957.76   -25.75     1.90)  ; 3
+    ( -245.64  -959.91   -25.75     1.90)  ; 4
+    ( -248.04  -962.06   -25.75     1.90)  ; 5
+    ( -251.21  -963.96   -25.75     1.90)  ; 6
+    ( -253.48  -965.48   -25.75     1.90)  ; 7
+    ( -253.61  -965.61   -25.75     1.90)  ; 8
+    ( -257.54  -967.76   -25.75     1.90)  ; 9
+    ( -263.10  -973.96   -25.75     1.90)  ; 10
+    ( -265.64  -978.27   -25.75     1.90)  ; 11
+    ( -268.55  -983.58   -25.75     1.90)  ; 12
+    ( -268.67  -983.84   -25.75     1.90)  ; 13
+    ( -268.93  -984.22   -25.75     1.90)  ; 14
+    ( -272.85  -987.76   -25.75     1.90)  ; 15
+    ( -272.98  -987.76   -25.75     1.90)  ; 16
+    ( -272.81  -988.88   -24.25     1.90)  ; 17
+    (
+      ( -270.02  -990.14   -24.25     1.01)  ; 1, R-2-1
+      ( -269.52  -990.14   -24.25     1.01)  ; 2
+      ( -269.26  -990.27   -24.25     1.01)  ; 3
+      (
+        ( -264.45  -990.52   -24.25     1.01)  ; 1, R-2-1-1
+        ( -259.01  -990.65   -24.25     1.01)  ; 2
+        (
+          ( -255.97  -987.36   -24.25     1.01)  ; 1, R-2-1-1-1
+          (
+            ( -256.10  -984.70   -24.25     0.76)  ; 1, R-2-1-1-1-1
+            ( -256.73  -982.67   -24.25     0.76)  ; 2
+            ( -257.62  -980.65   -24.25     0.76)  ; 3
+             Normal
+          |
+            ( -252.43  -986.09   -24.25     0.76)  ; 1, R-2-1-1-1-2
+            ( -251.67  -986.22   -24.25     0.76)  ; 2
+            ( -250.91  -986.35   -24.25     0.76)  ; 3
+            ( -249.39  -986.35   -24.25     0.76)  ; 4
+            ( -248.25  -985.97   -24.25     0.76)  ; 5
+             Normal
+          )  ;  End of split
+        |
+          ( -252.05  -991.28   -24.25     0.76)  ; 1, R-2-1-1-2
+          ( -249.26  -991.16   -24.25     0.76)  ; 2
+          (
+            ( -249.64  -989.26   -24.25     0.76)  ; 1, R-2-1-1-2-1
+            ( -250.15  -988.62   -24.25     0.76)  ; 2
+             Normal
+          |
+            ( -244.71  -987.74   -24.25     0.76)  ; 1, R-2-1-1-2-2
+            ( -243.32  -986.98   -24.25     0.76)  ; 2
+            (
+              ( -240.28  -981.16   -24.25     0.76)  ; 1, R-2-1-1-2-2-1
+              ( -240.15  -981.16   -24.25     0.76)  ; 2
+              ( -240.02  -979.00   -24.25     0.76)  ; 3
+              (
+                ( -237.87  -973.43   -24.25     0.76)  ; 1, R-2-1-1-2-2-1-1
+                ( -237.37  -969.51   -24.25     0.76)  ; 2
+                 Normal
+              |
+                ( -237.11  -976.35   -24.25     0.76)  ; 1, R-2-1-1-2-2-1-2
+                ( -234.33  -973.43   -24.25     0.76)  ; 2
+                ( -232.43  -973.69   -24.25     0.76)  ; 3
+                ( -232.43  -973.94   -24.25     0.76)  ; 4
+                 Normal
+              )  ;  End of split
+            |
+              ( -240.53  -989.38   -24.25     0.76)  ; 1, R-2-1-1-2-2-2
+              ( -237.87  -991.28   -24.25     0.76)  ; 2
+               Normal
+            )  ;  End of split
+          )  ;  End of split
+        )  ;  End of split
+      |
+        ( -268.38  -993.43   -24.25     0.89)  ; 1, R-2-1-2
+        (
+          ( -269.90  -996.60   -24.25     0.63)  ; 1, R-2-1-2-1
+          ( -271.42 -1000.65   -24.25     0.63)  ; 2
+          (
+            ( -267.75 -1004.45   -24.25     0.76)  ; 1, R-2-1-2-1-1
+            ( -265.85 -1006.35   -24.25     0.76)  ; 2
+            ( -265.59 -1006.98   -24.25     0.76)  ; 3
+            ( -264.20 -1008.75   -24.25     0.76)  ; 4
+            ( -263.95 -1009.13   -24.25     0.76)  ; 5
+            ( -262.94 -1010.78   -24.25     0.76)  ; 6
+            ( -262.68 -1011.28   -24.25     0.76)  ; 7
+            ( -261.92 -1012.04   -24.25     0.76)  ; 8
+             Normal
+          |
+            ( -272.56 -1004.32   -24.25     0.76)  ; 1, R-2-1-2-1-2
+            (
+              ( -275.09 -1004.57   -24.25     0.76)  ; 1, R-2-1-2-1-2-1
+              ( -275.34 -1004.70   -24.25     0.76)  ; 2
+              ( -276.23 -1005.46   -24.25     0.76)  ; 3
+              ( -276.48 -1005.46   -24.25     0.76)  ; 4
+              ( -276.61 -1005.59   -24.25     0.76)  ; 5
+              (
+                ( -276.73 -1009.26   -24.25     0.76)  ; 1, R-2-1-2-1-2-1-1
+                ( -277.87 -1011.54   -24.25     0.76)  ; 2
+                ( -278.13 -1011.91   -24.25     0.76)  ; 3
+                ( -278.63 -1013.56   -24.25     0.76)  ; 4
+                ( -279.01 -1013.81   -24.25     0.76)  ; 5
+                ( -279.01 -1013.94   -24.25     0.76)  ; 6
+                ( -279.77 -1014.83   -24.25     0.76)  ; 7
+                ( -280.02 -1015.08   -24.25     0.76)  ; 8
+                ( -282.30 -1016.22   -24.25     0.76)  ; 9
+                ( -282.68 -1016.35   -24.25     0.76)  ; 10
+                ( -285.21 -1016.35   -24.25     0.76)  ; 11
+                ( -285.47 -1016.47   -24.25     0.76)  ; 12
+                 Normal
+              |
+                ( -280.28 -1006.73   -24.25     0.76)  ; 1, R-2-1-2-1-2-1-2
+                ( -280.40 -1006.85   -24.25     0.76)  ; 2
+                ( -281.80 -1006.98   -24.25     0.76)  ; 3
+                (
+                  ( -281.67 -1010.02   -24.25     0.76)  ; 1, R-2-1-2-1-2-1-2-1
+                  ( -281.80 -1010.14   -24.25     0.76)  ; 2
+                  ( -283.19 -1011.66   -24.25     0.76)  ; 3
+                  ( -283.44 -1012.04   -24.25     0.76)  ; 4
+                  ( -284.20 -1012.67   -24.25     0.76)  ; 5
+                  ( -284.45 -1012.80   -24.25     0.76)  ; 6
+                  ( -284.83 -1012.93   -24.25     0.76)  ; 7
+                  ( -286.23 -1013.43   -24.25     0.76)  ; 8
+                  ( -286.73 -1013.43   -24.25     0.76)  ; 9
+                  ( -288.76 -1014.45   -24.25     0.76)  ; 10
+                  ( -288.89 -1014.45   -24.25     0.76)  ; 11
+                   Normal
+                |
+                  ( -285.97 -1008.24   -24.25     0.76)  ; 1, R-2-1-2-1-2-1-2-2
+                  (
+                    ( -287.62 -1011.03   -24.25     0.76)  ; 1, R-2-1-2-1-2-1-2-2-1
+                    ( -287.62 -1011.16   -24.25     0.76)  ; 2
+                    ( -288.76 -1012.55   -24.25     0.76)  ; 3
+                    ( -289.01 -1012.67   -24.25     0.76)  ; 4
+                    ( -289.26 -1012.67   -24.25     0.76)  ; 5
+                    ( -289.64 -1012.80   -24.25     0.76)  ; 6
+                    ( -289.77 -1012.80   -24.25     0.76)  ; 7
+                    ( -290.28 -1012.55   -24.25     0.76)  ; 8
+                     Normal
+                  |
+                    ( -288.89 -1007.48   -24.25     0.76)  ; 1, R-2-1-2-1-2-1-2-2-2
+                    ( -289.14 -1007.48   -24.25     0.76)  ; 2
+                    ( -290.28 -1006.98   -24.25     0.76)  ; 3
+                    ( -290.66 -1006.73   -24.25     0.76)  ; 4
+                    ( -290.78 -1006.60   -24.25     0.76)  ; 5
+                    ( -291.42 -1006.22   -24.25     0.76)  ; 6
+                    ( -291.80 -1005.97   -24.25     0.76)  ; 7
+                    ( -292.68 -1005.71   -24.25     0.76)  ; 8
+                    ( -292.81 -1005.71   -24.25     0.76)  ; 9
+                     Normal
+                  )  ;  End of split
+                )  ;  End of split
+              )  ;  End of split
+            |
+              ( -271.16 -1008.62   -24.25     0.76)  ; 1, R-2-1-2-1-2-2
+              (
+                ( -272.18 -1011.66   -24.25     0.76)  ; 1, R-2-1-2-1-2-2-1
+                ( -273.06 -1013.56   -24.25     0.76)  ; 2
+                ( -273.32 -1013.81   -24.25     0.76)  ; 3
+                ( -274.07 -1015.71   -24.25     0.76)  ; 4
+                ( -274.33 -1015.97   -24.25     0.76)  ; 5
+                ( -274.33 -1015.97   -24.25     0.76)  ; 6
+                ( -274.71 -1016.98   -24.25     0.76)  ; 7
+                (
+                  ( -274.71 -1020.52   -24.25     0.76)  ; 1, R-2-1-2-1-2-2-1-1
+                  ( -274.20 -1022.67   -24.25     0.76)  ; 2
+                  ( -274.07 -1023.05   -24.25     0.76)  ; 3
+                  ( -273.95 -1023.18   -24.25     0.76)  ; 4
+                  ( -272.94 -1023.43   -24.25     0.76)  ; 5
+                  ( -272.94 -1023.56   -24.25     0.76)  ; 6
+                   Normal
+                |
+                  ( -277.11 -1017.23   -24.25     0.76)  ; 1, R-2-1-2-1-2-2-1-2
+                  ( -277.24 -1017.23   -24.25     0.76)  ; 2
+                  ( -279.01 -1018.37   -24.25     0.76)  ; 3
+                  ( -280.28 -1018.62   -24.25     0.76)  ; 4
+                  ( -281.04 -1018.62   -24.25     0.76)  ; 5
+                  ( -281.29 -1018.62   -24.25     0.76)  ; 6
+                   Normal
+                )  ;  End of split
+              |
+                ( -270.28 -1008.75   -24.25     0.76)  ; 1, R-2-1-2-1-2-2-2
+                (
+                  ( -269.01 -1011.54   -24.25     0.76)  ; 1, R-2-1-2-1-2-2-2-1
+                  ( -269.01 -1011.91   -24.25     0.76)  ; 2
+                  ( -269.01 -1014.70   -24.25     0.76)  ; 3
+                  ( -269.01 -1015.08   -24.25     0.76)  ; 4
+                  ( -269.14 -1015.08   -24.25     0.76)  ; 5
+                  ( -269.52 -1016.73   -24.25     0.76)  ; 6
+                  ( -269.52 -1017.10   -24.25     0.76)  ; 7
+                  ( -269.39 -1018.24   -24.25     0.76)  ; 8
+                  ( -268.51 -1019.26   -24.25     0.76)  ; 9
+                  ( -268.13 -1019.64   -24.25     0.76)  ; 10
+                  ( -266.99 -1020.27   -24.25     0.76)  ; 11
+                  ( -266.61 -1020.40   -24.25     0.76)  ; 12
+                  ( -266.10 -1020.90   -24.25     0.76)  ; 13
+                  ( -265.85 -1021.41   -24.25     0.76)  ; 14
+                  ( -265.34 -1022.67   -24.25     0.76)  ; 15
+                  ( -265.21 -1022.80   -24.25     0.76)  ; 16
+                  ( -264.96 -1023.05   -24.25     0.76)  ; 17
+                  ( -264.96 -1023.18   -24.25     0.76)  ; 18
+                   Normal
+                |
+                  ( -268.88 -1009.26   -24.25     0.76)  ; 1, R-2-1-2-1-2-2-2-2
+                  ( -267.62 -1011.28   -24.25     0.76)  ; 2
+                  ( -267.37 -1011.91   -24.25     0.76)  ; 3
+                  ( -267.11 -1012.04   -24.25     0.76)  ; 4
+                  ( -265.97 -1012.67   -24.25     0.76)  ; 5
+                  ( -265.85 -1013.18   -24.25     0.76)  ; 6
+                  ( -264.45 -1014.70   -24.25     0.76)  ; 7
+                  ( -264.20 -1014.83   -24.25     0.76)  ; 8
+                  ( -264.07 -1017.48   -24.25     0.76)  ; 9
+                  ( -264.07 -1017.86   -24.25     0.76)  ; 10
+                  ( -263.57 -1018.75   -24.25     0.76)  ; 11
+                  ( -263.32 -1019.38   -24.25     0.76)  ; 12
+                  ( -263.19 -1019.38   -24.25     0.76)  ; 13
+                  ( -262.94 -1020.27   -24.25     0.76)  ; 14
+                  ( -262.68 -1020.52   -24.25     0.76)  ; 15
+                  ( -262.30 -1020.90   -24.25     0.76)  ; 16
+                  ( -262.18 -1021.28   -24.25     0.76)  ; 17
+                  ( -262.18 -1021.54   -24.25     0.76)  ; 18
+                  ( -262.18 -1022.29   -24.25     0.76)  ; 19
+                  ( -262.18 -1022.80   -24.25     0.76)  ; 20
+                  ( -262.18 -1023.56   -24.25     0.76)  ; 21
+                   Normal
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          )  ;  End of split
+        |
+          ( -265.85  -995.71   -24.25     0.76)  ; 1, R-2-1-2-2
+          (
+            ( -263.19 -1002.42   -24.25     0.76)  ; 1, R-2-1-2-2-1
+            ( -261.42 -1004.32   -24.25     0.76)  ; 2
+            ( -261.42 -1004.45   -24.25     0.76)  ; 3
+            ( -260.53 -1005.97   -24.25     0.76)  ; 4
+            ( -260.40 -1006.22   -24.25     0.76)  ; 5
+            ( -260.28 -1006.60   -24.25     0.76)  ; 6
+            ( -260.28 -1007.23   -24.25     0.76)  ; 7
+            ( -260.28 -1007.61   -24.25     0.76)  ; 8
+             Normal
+          |
+            ( -260.53  -996.35   -24.25     0.76)  ; 1, R-2-1-2-2-2
+            ( -260.40  -996.35   -24.25     0.76)  ; 2
+            ( -256.48  -995.21   -24.25     0.76)  ; 3
+            ( -255.85  -995.21   -24.25     0.76)  ; 4
+            ( -252.30  -995.46   -24.25     0.76)  ; 5
+            ( -252.05  -995.46   -24.25     0.76)  ; 6
+            ( -248.76  -996.47   -24.25     0.76)  ; 7
+            ( -248.76  -996.85   -24.25     0.76)  ; 8
+            ( -248.63  -996.98   -24.25     0.76)  ; 9
+            ( -245.21  -997.86   -24.25     0.76)  ; 10
+            ( -245.09  -997.86   -24.25     0.76)  ; 11
+            ( -244.83  -999.00   -23.75     0.76)  ; 12
+            ( -244.83  -999.13   -23.75     0.76)  ; 13
+            ( -244.20 -1000.90   -23.75     0.76)  ; 14
+            ( -244.20 -1001.03   -23.75     0.76)  ; 15
+            ( -245.47 -1004.19   -23.75     0.76)  ; 16
+            ( -245.97 -1005.84   -23.75     0.76)  ; 17
+            ( -246.23 -1006.47   -23.75     0.76)  ; 18
+            ( -246.86 -1007.74   -23.75     0.76)  ; 19
+            ( -246.99 -1007.86   -23.75     0.76)  ; 20
+            ( -246.99 -1007.99   -23.75     0.76)  ; 21
+             Normal
+          )  ;  End of split
+        )  ;  End of split
+      )  ;  End of split
+    |
+      ( -275.21  -989.38   -24.25     2.66)  ; 1, R-2-2
+      ( -277.87  -990.78   -24.25     2.66)  ; 2
+      ( -280.53  -991.41   -24.25     2.66)  ; 3
+      ( -283.06  -991.91   -24.25     2.66)  ; 4
+      ( -283.19  -991.91   -24.25     2.66)  ; 5
+      ( -284.83  -992.55   -24.25     2.66)  ; 6
+      ( -286.10  -993.05   -24.25     2.66)  ; 7
+      (
+        ( -288.51  -996.47   -25.00     1.77)  ; 1, R-2-2-1
+        ( -293.32  -998.62   -25.00     1.77)  ; 2
+        ( -294.83  -999.38   -25.00     1.77)  ; 3
+        (
+          ( -296.86 -1001.79   -25.00     1.14)  ; 1, R-2-2-1-1
+          (
+            ( -295.59 -1004.07   -25.00     1.01)  ; 1, R-2-2-1-1-1
+            ( -295.34 -1006.60   -25.00     1.01)  ; 2
+            ( -295.34 -1006.73   -25.00     1.01)  ; 3
+            ( -295.72 -1008.62   -25.00     1.01)  ; 4
+            ( -295.85 -1008.75   -25.00     1.01)  ; 5
+            ( -295.97 -1009.00   -25.00     1.01)  ; 6
+            ( -296.23 -1009.38   -25.00     1.01)  ; 7
+             Normal
+          |
+            ( -301.16 -1003.31   -25.00     1.01)  ; 1, R-2-2-1-1-2
+            (
+              ( -303.44 -1005.71   -25.00     1.01)  ; 1, R-2-2-1-1-2-1
+              ( -303.95 -1007.99   -25.00     1.01)  ; 2
+              ( -303.95 -1008.24   -25.00     1.01)  ; 3
+              ( -304.20 -1009.38   -25.00     1.01)  ; 4
+               Normal
+            |
+              ( -305.21 -1003.94   -25.00     1.01)  ; 1, R-2-2-1-1-2-2
+              ( -305.59 -1003.94   -25.00     1.01)  ; 2
+              (
+                ( -306.48 -1003.05   -25.00     1.01)  ; 1, R-2-2-1-1-2-2-1
+                ( -308.00 -1001.66   -25.00     1.01)  ; 2
+                ( -309.64 -1002.42   -25.00     1.01)  ; 3
+                ( -310.78 -1002.67   -25.00     1.01)  ; 4
+                ( -311.29 -1002.67   -25.00     1.01)  ; 5
+                ( -313.19 -1002.42   -25.00     1.01)  ; 6
+                ( -313.82 -1002.55   -25.00     1.01)  ; 7
+                ( -314.71 -1002.29   -25.00     1.01)  ; 8
+                ( -315.09 -1002.17   -25.00     1.01)  ; 9
+                 Normal
+              |
+                ( -307.75 -1004.83   -25.00     1.01)  ; 1, R-2-2-1-1-2-2-2
+                ( -310.28 -1005.71   -25.00     1.01)  ; 2
+                ( -310.91 -1005.97   -25.00     1.01)  ; 3
+                ( -311.04 -1005.97   -25.00     1.01)  ; 4
+                ( -312.18 -1005.97   -25.00     1.01)  ; 5
+                ( -312.56 -1005.84   -25.00     1.01)  ; 6
+                ( -313.19 -1005.59   -25.00     1.01)  ; 7
+                ( -314.07 -1005.08   -25.00     1.01)  ; 8
+                ( -314.83 -1004.95   -25.00     1.01)  ; 9
+                ( -315.47 -1004.83   -25.00     1.01)  ; 10
+                ( -316.73 -1004.95   -25.00     1.01)  ; 11
+                ( -317.24 -1004.95   -25.00     1.01)  ; 12
+                ( -318.25 -1005.21   -25.00     1.01)  ; 13
+                ( -318.76 -1005.33   -25.00     1.01)  ; 14
+                ( -319.14 -1005.33   -25.00     1.01)  ; 15
+                 Normal
+              )  ;  End of split
+            )  ;  End of split
+          )  ;  End of split
+        |
+          ( -296.99  -999.00   -25.00     1.14)  ; 1, R-2-2-1-2
+          ( -300.78  -999.26   -25.00     1.14)  ; 2
+          ( -301.04  -999.26   -25.00     1.14)  ; 3
+          ( -303.70  -999.26   -25.00     1.14)  ; 4
+          ( -303.82  -999.26   -25.00     1.14)  ; 5
+          ( -306.61  -998.88   -25.00     1.14)  ; 6
+          ( -310.66  -998.88   -25.00     1.14)  ; 7
+          ( -315.21  -997.36   -25.00     1.14)  ; 8
+          ( -315.59  -997.36   -25.00     1.14)  ; 9
+          (
+            ( -316.35  -994.19   -25.00     0.89)  ; 1, R-2-2-1-2-1
+            ( -317.49  -993.05   -25.00     0.89)  ; 2
+            ( -319.26  -991.66   -25.00     0.89)  ; 3
+            ( -319.77  -991.28   -25.00     0.89)  ; 4
+            ( -321.29  -990.27   -25.00     0.89)  ; 5
+            ( -321.80  -989.89   -25.00     0.89)  ; 6
+            (
+              ( -321.42  -987.36   -25.00     0.89)  ; 1, R-2-2-1-2-1-1
+              ( -321.04  -984.32   -25.00     0.89)  ; 2
+              ( -321.04  -984.19   -25.00     0.89)  ; 3
+              ( -321.42  -981.16   -25.00     0.89)  ; 4
+              ( -321.42  -981.03   -25.00     0.89)  ; 5
+              ( -322.94  -978.50   -25.00     0.89)  ; 6
+              ( -323.06  -978.37   -25.00     0.89)  ; 7
+               Normal
+            |
+              ( -324.58  -990.14   -25.00     0.89)  ; 1, R-2-2-1-2-1-2
+              ( -326.23  -990.78   -25.00     0.89)  ; 2
+              ( -326.48  -990.90   -25.00     0.89)  ; 3
+              ( -327.75  -991.16   -25.00     0.89)  ; 4
+              ( -327.87  -991.16   -25.00     0.89)  ; 5
+              ( -328.51  -991.16   -25.00     0.89)  ; 6
+              ( -328.76  -991.16   -25.00     0.89)  ; 7
+               Normal
+            )  ;  End of split
+          |
+            ( -317.49  -997.48   -25.00     0.89)  ; 1, R-2-2-1-2-2
+            (
+              ( -318.63  -995.46   -25.00     0.89)  ; 1, R-2-2-1-2-2-1
+              ( -321.16  -994.95   -25.00     0.89)  ; 2
+              ( -323.82  -994.95   -25.00     0.89)  ; 3
+              ( -324.07  -994.95   -25.00     0.89)  ; 4
+              ( -325.09  -994.95   -25.00     0.89)  ; 5
+              ( -325.34  -994.95   -25.00     0.89)  ; 6
+              ( -326.23  -994.95   -25.00     0.89)  ; 7
+              ( -326.73  -994.95   -25.00     0.89)  ; 8
+              ( -327.87  -994.70   -25.00     0.89)  ; 9
+              ( -328.25  -994.70   -25.00     0.89)  ; 10
+              ( -328.51  -994.70   -25.00     0.89)  ; 11
+              ( -329.90  -993.94   -25.00     0.89)  ; 12
+              (
+                ( -331.42  -992.42   -25.00     0.89)  ; 1, R-2-2-1-2-2-1-1
+                (
+                  ( -332.81  -991.91   -25.00     0.89)  ; 1, R-2-2-1-2-2-1-1-1
+                  ( -335.59  -991.28   -25.00     0.89)  ; 2
+                  ( -335.85  -991.28   -25.00     0.89)  ; 3
+                  ( -335.97  -991.28   -25.00     0.89)  ; 4
+                  (
+                    ( -338.25  -992.29   -25.00     0.89)  ; 1, R-2-2-1-2-2-1-1-1-1
+                    ( -338.51  -992.42   -25.00     0.89)  ; 2
+                    ( -339.77  -993.05   -25.00     0.89)  ; 3
+                    ( -340.15  -993.31   -25.00     0.89)  ; 4
+                    ( -341.42  -993.43   -25.00     0.89)  ; 5
+                    ( -341.92  -993.56   -25.00     0.89)  ; 6
+                    ( -342.94  -993.81   -25.00     0.89)  ; 7
+                    ( -343.57  -993.94   -25.00     0.89)  ; 8
+                    ( -343.95  -993.94   -25.00     0.89)  ; 9
+                    ( -345.97  -994.19   -25.00     0.89)  ; 10
+                    ( -346.73  -994.19   -25.00     0.89)  ; 11
+                    ( -348.89  -994.07   -25.00     0.89)  ; 12
+                     Normal
+                  |
+                    ( -339.26  -989.89   -25.00     0.89)  ; 1, R-2-2-1-2-2-1-1-1-2
+                    ( -339.52  -990.14   -25.00     0.89)  ; 2
+                    ( -341.80  -989.38   -25.00     0.89)  ; 3
+                    ( -342.56  -989.38   -25.00     0.89)  ; 4
+                    ( -343.82  -989.38   -25.00     0.89)  ; 5
+                    ( -344.96  -989.38   -25.00     0.89)  ; 6
+                    ( -345.85  -989.38   -25.00     0.89)  ; 7
+                    ( -346.23  -989.38   -25.00     0.89)  ; 8
+                    ( -347.75  -989.51   -25.00     0.89)  ; 9
+                    ( -348.25  -989.64   -25.00     0.89)  ; 10
+                    ( -348.51  -989.76   -25.00     0.89)  ; 11
+                    ( -349.39  -990.14   -25.00     0.89)  ; 12
+                    ( -349.90  -990.14   -25.00     0.89)  ; 13
+                    ( -350.91  -990.40   -25.00     0.89)  ; 14
+                    ( -351.04  -990.52   -25.00     0.89)  ; 15
+                     Normal
+                  )  ;  End of split
+                |
+                  ( -332.81  -987.74   -25.00     0.89)  ; 1, R-2-2-1-2-2-1-1-2
+                  ( -334.07  -986.85   -25.00     0.89)  ; 2
+                  ( -334.83  -986.72   -25.00     0.89)  ; 3
+                  ( -335.47  -986.60   -25.00     0.89)  ; 4
+                  ( -335.97  -986.35   -25.00     0.89)  ; 5
+                  ( -336.35  -986.22   -25.00     0.89)  ; 6
+                  ( -336.86  -985.97   -25.00     0.89)  ; 7
+                   Normal
+                )  ;  End of split
+              |
+                ( -332.18  -995.46   -25.00     0.89)  ; 1, R-2-2-1-2-2-1-2
+                ( -332.18  -995.59   -25.00     0.89)  ; 2
+                ( -334.20  -996.98   -25.00     0.89)  ; 3
+                (
+                  ( -335.47  -997.74   -25.00     0.89)  ; 1, R-2-2-1-2-2-1-2-1
+                  ( -335.85  -997.99   -25.00     0.89)  ; 2
+                  ( -336.73  -999.00   -25.00     0.89)  ; 3
+                  ( -337.11  -999.13   -25.00     0.89)  ; 4
+                  ( -337.75  -999.13   -25.00     0.89)  ; 5
+                  ( -338.51  -999.13   -25.00     0.89)  ; 6
+                   Normal
+                |
+                  ( -337.75  -995.97   -25.00     0.89)  ; 1, R-2-2-1-2-2-1-2-2
+                  ( -338.51  -995.97   -25.00     0.89)  ; 2
+                  ( -338.63  -995.97   -25.00     0.89)  ; 3
+                  ( -338.89  -995.97   -25.00     0.89)  ; 4
+                  ( -339.01  -995.97   -25.00     0.89)  ; 5
+                   Normal
+                )  ;  End of split
+              )  ;  End of split
+            |
+              ( -320.02  -997.99   -25.00     0.89)  ; 1, R-2-2-1-2-2-2
+              ( -321.92  -998.50   -25.00     0.89)  ; 2
+              ( -321.92  -998.62   -25.00     0.89)  ; 3
+              ( -322.05  -998.62   -25.00     0.89)  ; 4
+              ( -324.07  -999.38   -25.75     0.89)  ; 5
+              ( -325.85 -1000.14   -25.75     0.89)  ; 6
+              ( -328.00 -1001.28   -25.75     0.89)  ; 7
+              ( -330.78 -1002.55   -25.75     0.89)  ; 8
+              ( -331.16 -1002.80   -25.75     0.89)  ; 9
+              ( -331.29 -1002.93   -25.75     0.89)  ; 10
+              ( -334.45 -1003.31   -25.75     0.89)  ; 11
+              ( -336.86 -1004.83   -25.75     0.89)  ; 12
+              ( -336.99 -1004.83   -25.75     0.89)  ; 13
+              (
+                ( -337.37 -1008.62   -25.75     0.89)  ; 1, R-2-2-1-2-2-2-1
+                ( -338.38 -1011.66   -25.75     0.89)  ; 2
+                ( -338.25 -1013.18   -24.75     0.89)  ; 3
+                ( -339.28 -1014.81   -27.50     1.01)  ; 4
+                ( -338.01 -1018.10   -27.50     1.01)  ; 5
+                ( -338.01 -1020.38   -27.50     1.01)  ; 6
+                ( -338.26 -1020.63   -27.50     1.01)  ; 7
+                ( -338.26 -1021.64   -27.50     1.01)  ; 8
+                ( -338.52 -1021.90   -27.50     1.01)  ; 9
+                ( -338.52 -1022.91   -27.50     1.01)  ; 10
+                ( -338.26 -1022.91   -27.50     1.01)  ; 11
+                 Normal
+              |
+                ( -339.52 -1004.70   -25.75     0.89)  ; 1, R-2-2-1-2-2-2-2
+                ( -341.04 -1004.45   -25.75     0.89)  ; 2
+                ( -344.71 -1003.69   -25.75     0.89)  ; 3
+                ( -344.83 -1003.69   -25.75     0.89)  ; 4
+                ( -346.86 -1003.31   -25.75     0.89)  ; 5
+                ( -348.63 -1002.55   -25.75     0.89)  ; 6
+                ( -349.01 -1002.17   -25.75     0.89)  ; 7
+                ( -351.54 -1000.40   -25.75     0.89)  ; 8
+                ( -351.92 -1000.40   -25.75     0.89)  ; 9
+                ( -354.45 -1000.02   -25.75     0.89)  ; 10
+                ( -354.71 -1000.02   -25.75     0.89)  ; 11
+                ( -355.09 -1000.14   -25.75     0.89)  ; 12
+                (
+                  ( -357.36 -1001.14   -27.00     0.64)  ; 1, R-2-2-1-2-2-2-2-1
+                  ( -358.47 -1001.62   -27.00     0.64)  ; 2
+                  ( -358.95 -1001.94   -27.00     0.64)  ; 3
+                  ( -360.54 -1004.01   -27.00     0.64)  ; 4
+                  ( -360.70 -1004.17   -27.00     0.64)  ; 5
+                  ( -360.86 -1004.32   -27.00     0.64)  ; 6
+                  ( -361.02 -1004.64   -27.00     0.64)  ; 7
+                  ( -361.18 -1004.80   -27.00     0.64)  ; 8
+                  ( -361.50 -1004.96   -27.00     0.64)  ; 9
+                  ( -361.66 -1005.12   -27.00     0.64)  ; 10
+                  ( -361.66 -1005.44   -27.00     0.64)  ; 11
+                  ( -361.82 -1005.60   -27.00     0.64)  ; 12
+                  ( -361.98 -1005.76   -27.00     0.64)  ; 13
+                  ( -362.13 -1006.08   -27.00     0.64)  ; 14
+                  ( -362.29 -1006.23   -27.00     0.64)  ; 15
+                  ( -362.45 -1006.39   -27.00     0.64)  ; 16
+                  ( -362.61 -1006.71   -27.00     0.64)  ; 17
+                  ( -362.77 -1006.87   -27.00     0.64)  ; 18
+                  ( -362.77 -1007.35   -27.00     0.64)  ; 19
+                  ( -362.93 -1007.51   -27.00     0.64)  ; 20
+                  ( -362.93 -1007.83   -27.00     0.64)  ; 21
+                  (
+                    ( -365.64 -1008.62   -27.00     0.64)  ; 1, R-2-2-1-2-2-2-2-1-1
+                    ( -365.96 -1008.78   -27.00     0.64)  ; 2
+                    ( -369.78 -1010.53   -27.00     0.64)  ; 3
+                    ( -369.78 -1010.69   -27.00     0.64)  ; 4
+                    ( -370.04 -1010.64   -27.00     0.64)  ; 5
+                    (
+                      ( -370.84 -1012.07   -26.75     1.11)  ; 1, R-2-2-1-2-2-2-2-1-1-1
+                      ( -371.00 -1012.39   -26.75     1.11)  ; 2
+                      ( -373.54 -1014.94   -26.75     1.11)  ; 3
+                      ( -373.70 -1015.10   -26.75     1.11)  ; 4
+                      ( -377.36 -1017.16   -26.75     1.11)  ; 5
+                      ( -377.52 -1017.48   -26.75     1.11)  ; 6
+                      ( -380.23 -1019.71   -26.75     1.11)  ; 7
+                       Normal
+                    |
+                      ( -371.79 -1010.64   -27.00     0.80)  ; 1, R-2-2-1-2-2-2-2-1-1-2
+                      ( -374.02 -1011.27   -27.00     0.80)  ; 2
+                      ( -375.45 -1011.27   -27.00     0.80)  ; 3
+                      ( -377.04 -1010.32   -27.00     0.80)  ; 4
+                      ( -377.20 -1010.16   -27.00     0.80)  ; 5
+                      ( -377.52 -1010.00   -27.00     0.80)  ; 6
+                      ( -378.16 -1009.36   -27.00     0.80)  ; 7
+                      ( -378.48 -1009.36   -27.00     0.80)  ; 8
+                      ( -378.96 -1009.20   -27.00     0.80)  ; 9
+                      ( -379.43 -1009.05   -27.00     0.80)  ; 10
+                      ( -380.39 -1009.05   -27.00     0.80)  ; 11
+                      ( -380.71 -1009.20   -27.00     0.80)  ; 12
+                       Normal
+                    )  ;  End of split
+                  |
+                    ( -361.50 -1009.10   -27.50     0.64)  ; 1, R-2-2-1-2-2-2-2-1-2
+                    ( -361.34 -1008.94   -27.50     0.64)  ; 2
+                    ( -360.38 -1009.42   -27.50     0.64)  ; 3
+                    ( -359.75 -1013.08   -27.50     0.64)  ; 4
+                    ( -359.75 -1014.19   -27.50     0.64)  ; 5
+                    ( -359.59 -1014.83   -27.50     0.64)  ; 6
+                    ( -359.43 -1015.47   -27.50     0.64)  ; 7
+                    ( -359.11 -1015.95   -27.50     0.64)  ; 8
+                    ( -358.95 -1016.42   -27.50     0.64)  ; 9
+                    ( -358.79 -1016.90   -27.50     0.64)  ; 10
+                    ( -358.63 -1017.22   -27.50     0.64)  ; 11
+                    ( -358.31 -1017.54   -27.50     0.64)  ; 12
+                    ( -358.15 -1017.70   -27.50     0.64)  ; 13
+                    ( -358.00 -1017.86   -27.50     0.64)  ; 14
+                    ( -357.84 -1018.02   -27.50     0.64)  ; 15
+                    ( -357.68 -1018.17   -27.50     0.64)  ; 16
+                     Normal
+                  )  ;  End of split
+                |
+                  ( -356.10  -999.51   -25.75     0.89)  ; 1, R-2-2-1-2-2-2-2-2
+                  (
+                    ( -357.62  -998.24   -25.75     0.89)  ; 1, R-2-2-1-2-2-2-2-2-1
+                    ( -358.25  -998.24   -25.75     0.89)  ; 2
+                    ( -359.90  -998.50   -25.75     0.89)  ; 3
+                    ( -360.53  -998.50   -25.75     0.89)  ; 4
+                    ( -362.05  -998.75   -25.75     0.89)  ; 5
+                    ( -362.68  -998.75   -25.75     0.89)  ; 6
+                    ( -363.32  -998.62   -25.75     0.89)  ; 7
+                    ( -363.70  -998.62   -25.75     0.89)  ; 8
+                    ( -363.95  -998.37   -25.75     0.89)  ; 9
+                    ( -366.36  -999.11   -27.50     1.01)  ; 10
+                    ( -368.90 -1000.38   -27.50     1.01)  ; 11
+                    ( -371.17 -1001.64   -27.50     1.01)  ; 12
+                    ( -372.95 -1002.15   -27.50     1.01)  ; 13
+                    ( -373.45 -1002.15   -27.50     1.01)  ; 14
+                    ( -373.71 -1002.40   -27.50     1.01)  ; 15
+                    ( -376.49 -1002.40   -27.50     1.01)  ; 16
+                    ( -377.00 -1002.15   -27.50     1.01)  ; 17
+                    ( -377.25 -1001.90   -27.50     1.01)  ; 18
+                    ( -377.76 -1001.64   -27.50     1.01)  ; 19
+                    ( -378.01 -1001.39   -27.50     1.01)  ; 20
+                    ( -378.26 -1001.14   -27.50     1.01)  ; 21
+                    ( -378.52 -1000.88   -27.50     1.01)  ; 22
+                    ( -378.26 -1001.14   -27.50     1.01)  ; 23
+                     Normal
+                  |
+                    ( -356.99  -996.47   -25.75     0.89)  ; 1, R-2-2-1-2-2-2-2-2-2
+                    ( -358.13  -994.83   -25.75     0.89)  ; 2
+                    ( -359.90  -993.31   -25.75     0.89)  ; 3
+                    ( -360.28  -993.18   -25.75     0.89)  ; 4
+                    ( -362.57  -992.27   -27.25     1.01)  ; 5
+                    ( -364.34  -992.02   -27.25     1.01)  ; 6
+                    ( -364.09  -992.02   -27.25     1.01)  ; 7
+                    (
+                      ( -366.62  -994.55   -28.75     1.01)  ; 1, R-2-2-1-2-2-2-2-2-2-1
+                      ( -366.87  -994.81   -28.75     1.01)  ; 2
+                      ( -371.17  -996.07   -28.75     1.01)  ; 3
+                      ( -373.20  -997.09   -29.75     1.01)  ; 4
+                       Normal
+                    |
+                      ( -366.87  -990.00   -27.25     1.01)  ; 1, R-2-2-1-2-2-2-2-2-2-2
+                      ( -367.38  -990.00   -27.25     1.01)  ; 2
+                      ( -371.68  -991.52   -27.25     1.01)  ; 3
+                      ( -371.93  -991.77   -27.25     1.01)  ; 4
+                      ( -377.50  -993.79   -27.25     1.01)  ; 5
+                      ( -377.76  -993.79   -27.25     1.01)  ; 6
+                       Normal
+                    )  ;  End of split
+                  )  ;  End of split
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          )  ;  End of split
+        )  ;  End of split
+      |
+        ( -288.78  -990.86   -24.25     1.77)  ; 1, R-2-2-2
+        (
+          ( -291.69  -991.62   -24.25     1.01)  ; 1, R-2-2-2-1
+          ( -291.94  -991.75   -24.25     1.01)  ; 2
+          ( -292.83  -992.76   -24.25     1.01)  ; 3
+          ( -293.21  -993.14   -24.25     1.01)  ; 4
+          ( -295.48  -993.90   -24.25     1.01)  ; 5
+          ( -295.74  -993.90   -24.25     1.01)  ; 6
+          (
+            ( -298.52  -995.04   -24.25     1.01)  ; 1, R-2-2-2-1-1
+            ( -298.90  -995.17   -24.25     1.01)  ; 2
+            ( -299.79  -995.80   -24.25     1.01)  ; 3
+            ( -299.79  -995.93   -24.25     1.01)  ; 4
+             Normal
+          |
+            ( -299.53  -993.14   -24.25     1.01)  ; 1, R-2-2-2-1-2
+            ( -300.04  -993.14   -24.25     1.01)  ; 2
+            ( -301.69  -993.27   -24.25     1.01)  ; 3
+            ( -302.32  -993.27   -24.25     1.01)  ; 4
+            ( -303.21  -994.03   -24.25     1.01)  ; 5
+            ( -303.59  -994.28   -24.25     1.01)  ; 6
+            ( -303.71  -994.41   -24.25     1.01)  ; 7
+            ( -304.34  -994.91   -24.25     1.01)  ; 8
+            ( -305.36  -995.04   -24.25     1.01)  ; 9
+            ( -306.24  -995.17   -24.25     1.01)  ; 10
+            ( -307.13  -995.17   -24.25     1.01)  ; 11
+            ( -308.52  -995.04   -24.25     1.01)  ; 12
+            ( -309.15  -995.04   -24.25     1.01)  ; 13
+            ( -309.79  -995.04   -24.25     1.01)  ; 14
+             Normal
+          )  ;  End of split
+        |
+          ( -291.69  -988.58   -24.25     1.90)  ; 1, R-2-2-2-2
+          ( -292.95  -987.44   -24.25     1.90)  ; 2
+          (
+            ( -296.24  -989.09   -24.25     1.01)  ; 1, R-2-2-2-2-1
+            ( -298.14  -989.34   -24.25     1.01)  ; 2
+            ( -298.52  -989.34   -24.25     1.01)  ; 3
+            ( -301.31  -989.47   -24.25     1.01)  ; 4
+            ( -301.69  -989.47   -24.25     1.01)  ; 5
+            ( -305.23  -989.47   -24.25     1.01)  ; 6
+            (
+              ( -307.76  -990.10   -24.25     1.01)  ; 1, R-2-2-2-2-1-1
+              (
+                ( -310.04  -991.62   -24.25     1.01)  ; 1, R-2-2-2-2-1-1-1
+                ( -310.17  -991.75   -24.25     1.01)  ; 2
+                ( -311.69  -994.15   -24.25     1.01)  ; 3
+                ( -311.94  -994.41   -24.25     1.01)  ; 4
+                ( -312.83  -995.29   -24.25     1.01)  ; 5
+                 Normal
+              |
+                ( -311.81  -989.60   -24.25     0.63)  ; 1, R-2-2-2-2-1-1-2
+                ( -312.19  -989.60   -24.25     0.63)  ; 2
+                ( -313.33  -989.72   -24.25     0.63)  ; 3
+                ( -313.59  -989.85   -24.25     0.63)  ; 4
+                ( -314.60  -989.72   -24.25     0.63)  ; 5
+                ( -315.23  -989.34   -24.25     0.63)  ; 6
+                ( -316.37  -989.09   -24.25     0.63)  ; 7
+                ( -316.75  -988.96   -24.25     0.63)  ; 8
+                ( -317.00  -988.71   -24.25     0.63)  ; 9
+                ( -318.14  -988.58   -24.25     0.63)  ; 10
+                ( -318.65  -988.08   -24.25     0.63)  ; 11
+                ( -319.28  -987.82   -24.25     0.63)  ; 12
+                ( -319.91  -987.57   -24.25     0.63)  ; 13
+                ( -320.04  -987.57   -24.25     0.63)  ; 14
+                ( -320.67  -987.32   -24.25     0.63)  ; 15
+                ( -320.80  -987.32   -24.25     0.63)  ; 16
+                 Normal
+              )  ;  End of split
+            |
+              ( -306.12  -987.57   -24.25     0.63)  ; 1, R-2-2-2-2-1-2
+              (
+                ( -306.37  -985.55   -24.25     0.63)  ; 1, R-2-2-2-2-1-2-1
+                (
+                  ( -306.75  -983.39   -24.25     0.63)  ; 1, R-2-2-2-2-1-2-1-1
+                  ( -307.13  -983.39   -24.25     0.63)  ; 2
+                  ( -309.41  -982.00   -24.25     0.63)  ; 3
+                   Normal
+                |
+                  ( -304.22  -983.77   -24.25     0.63)  ; 1, R-2-2-2-2-1-2-1-2
+                  ( -303.08  -983.77   -24.25     0.63)  ; 2
+                  ( -302.83  -984.15   -24.25     0.63)  ; 3
+                  ( -302.70  -984.15   -24.25     0.63)  ; 4
+                  ( -302.07  -985.29   -24.25     0.63)  ; 5
+                  ( -301.43  -985.42   -24.25     0.63)  ; 6
+                  ( -300.42  -986.05   -24.25     0.63)  ; 7
+                  ( -299.91  -986.43   -24.25     0.63)  ; 8
+                  ( -298.90  -986.81   -24.25     0.63)  ; 9
+                  ( -298.52  -987.06   -24.25     0.63)  ; 10
+                  ( -298.40  -987.06   -24.25     0.63)  ; 11
+                  ( -298.27  -987.06   -24.25     0.63)  ; 12
+                   Normal
+                )  ;  End of split
+              |
+                ( -309.03  -987.19   -24.25     0.63)  ; 1, R-2-2-2-2-1-2-2
+                ( -311.05  -987.19   -24.25     0.63)  ; 2
+                ( -311.81  -987.19   -24.25     0.63)  ; 3
+                ( -313.21  -986.94   -24.25     0.63)  ; 4
+                ( -313.96  -986.81   -24.25     0.63)  ; 5
+                ( -315.10  -986.68   -24.25     0.63)  ; 6
+                ( -316.24  -986.68   -24.25     0.63)  ; 7
+                ( -316.50  -986.56   -24.25     0.63)  ; 8
+                ( -316.88  -986.30   -24.25     0.63)  ; 9
+                ( -317.38  -986.30   -24.25     0.63)  ; 10
+                ( -319.03  -985.67   -24.25     0.63)  ; 11
+                ( -319.28  -985.67   -24.25     0.63)  ; 12
+                ( -321.56  -985.67   -24.25     0.63)  ; 13
+                ( -321.94  -985.80   -24.25     0.63)  ; 14
+                ( -323.21  -985.93   -24.25     0.63)  ; 15
+                ( -323.46  -985.93   -24.25     0.63)  ; 16
+                ( -323.71  -985.93   -24.25     0.63)  ; 17
+                ( -323.96  -985.93   -24.25     0.63)  ; 18
+                ( -324.09  -985.93   -24.25     0.63)  ; 19
+                (
+                  ( -326.12  -984.41   -24.25     0.63)  ; 1, R-2-2-2-2-1-2-2-1
+                  ( -326.24  -984.41   -24.25     0.63)  ; 2
+                  ( -328.02  -983.39   -24.25     0.63)  ; 3
+                  ( -328.14  -983.52   -24.25     0.63)  ; 4
+                  ( -330.17  -984.79   -24.25     0.63)  ; 5
+                  ( -330.55  -985.04   -24.25     0.63)  ; 6
+                  ( -331.05  -985.29   -24.25     0.63)  ; 7
+                  ( -331.69  -985.55   -24.25     0.63)  ; 8
+                  ( -332.07  -985.67   -24.25     0.63)  ; 9
+                  ( -332.70  -985.67   -24.25     0.63)  ; 10
+                  ( -334.34  -985.80   -24.25     0.63)  ; 11
+                  ( -334.60  -985.93   -24.25     0.63)  ; 12
+                  ( -334.72  -985.93   -24.25     0.63)  ; 13
+                  ( -335.36  -986.18   -24.25     0.63)  ; 14
+                  ( -336.24  -986.56   -24.25     0.63)  ; 15
+                  ( -337.38  -986.94   -24.25     0.63)  ; 16
+                   Normal
+                |
+                  ( -326.24  -987.44   -24.25     0.63)  ; 1, R-2-2-2-2-1-2-2-2
+                  ( -327.38  -988.46   -24.25     0.63)  ; 2
+                  ( -327.89  -988.71   -24.25     0.63)  ; 3
+                  ( -327.89  -988.84   -24.25     0.63)  ; 4
+                  ( -328.52  -988.96   -24.25     0.63)  ; 5
+                  ( -329.03  -989.09   -24.25     0.63)  ; 6
+                  ( -329.15  -989.09   -24.25     0.63)  ; 7
+                  ( -329.66  -989.09   -24.25     0.63)  ; 8
+                  ( -329.79  -989.09   -24.25     0.63)  ; 9
+                   Normal
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          |
+            ( -292.95  -987.06   -24.25     1.90)  ; 1, R-2-2-2-2-2
+            (
+              ( -290.80  -984.53   -24.25     1.14)  ; 1, R-2-2-2-2-2-1
+              ( -289.91  -982.89   -24.25     1.14)  ; 2
+              ( -289.15  -981.75   -24.25     1.14)  ; 3
+              ( -289.15  -981.37   -24.25     1.14)  ; 4
+              (
+                ( -289.15  -980.74   -24.25     1.14)  ; 1, R-2-2-2-2-2-1-1
+                ( -289.41  -980.48   -24.25     1.14)  ; 2
+                ( -290.17  -978.46   -24.25     1.14)  ; 3
+                 Normal
+              |
+                ( -287.51  -982.89   -24.25     1.14)  ; 1, R-2-2-2-2-2-1-2
+                ( -287.38  -983.14   -24.25     1.14)  ; 2
+                ( -285.86  -984.28   -24.25     1.14)  ; 3
+                ( -285.74  -984.41   -24.25     1.14)  ; 4
+                ( -285.74  -986.30   -24.25     1.14)  ; 5
+                ( -285.74  -986.68   -24.25     1.14)  ; 6
+                ( -285.74  -986.81   -24.25     1.14)  ; 7
+                 Normal
+              )  ;  End of split
+            |
+              ( -294.09  -985.29   -24.25     1.39)  ; 1, R-2-2-2-2-2-2
+              ( -295.36  -984.28   -24.25     1.65)  ; 2
+              ( -296.50  -983.14   -24.25     1.65)  ; 3
+              (
+                ( -295.36  -980.74   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-1
+                ( -293.84  -977.82   -24.25     0.89)  ; 2
+                ( -291.81  -975.04   -24.25     0.89)  ; 3
+                (
+                  ( -291.81  -971.24   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-1-1
+                  ( -291.43  -967.06   -24.25     0.89)  ; 2
+                  ( -291.05  -964.79   -24.25     0.89)  ; 3
+                   Normal
+                |
+                  ( -288.14  -970.86   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-1-2
+                  (
+                    ( -287.64  -968.08   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-1-2-1
+                    ( -286.50  -965.80   -24.25     0.89)  ; 2
+                    ( -285.23  -964.28   -24.25     0.89)  ; 3
+                     Normal
+                  |
+                    ( -285.36  -968.96   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-1-2-2
+                    ( -285.23  -968.96   -24.25     0.89)  ; 2
+                    ( -282.32  -967.19   -24.25     0.89)  ; 3
+                    ( -281.05  -966.81   -24.25     0.89)  ; 4
+                    ( -278.90  -965.42   -24.25     0.89)  ; 5
+                    ( -277.64  -963.14   -24.25     0.89)  ; 6
+                    ( -275.36  -960.99   -24.25     0.89)  ; 7
+                    ( -275.23  -960.99   -24.25     0.89)  ; 8
+                    ( -273.08  -959.60   -24.25     0.89)  ; 9
+                     Normal
+                  )  ;  End of split
+                )  ;  End of split
+              |
+                ( -298.65  -981.87   -24.25     1.52)  ; 1, R-2-2-2-2-2-2-2
+                ( -299.66  -980.99   -24.25     1.52)  ; 2
+                ( -299.79  -980.99   -24.25     1.52)  ; 3
+                (
+                  ( -300.04  -980.48   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-2-1
+                  (
+                    ( -300.67  -977.95   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-2-1-1
+                    ( -301.94  -974.79   -24.25     0.89)  ; 2
+                    ( -302.70  -971.37   -24.25     0.89)  ; 3
+                    (
+                      ( -303.46  -968.71   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-2-1-1-1
+                      ( -303.71  -965.67   -24.25     0.89)  ; 2
+                      ( -303.71  -965.42   -24.25     0.89)  ; 3
+                      ( -303.46  -963.01   -24.25     0.89)  ; 4
+                       Normal
+                    |
+                      ( -300.29  -969.34   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-2-1-1-2
+                      ( -300.29  -969.22   -24.25     0.89)  ; 2
+                      ( -300.04  -968.33   -24.25     0.89)  ; 3
+                      (
+                        ( -300.17  -966.68   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-2-1-1-2-1
+                        ( -299.91  -964.53   -24.25     0.89)  ; 2
+                         Normal
+                      |
+                        ( -298.78  -967.70   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-2-1-1-2-2
+                        ( -298.65  -967.57   -24.25     0.89)  ; 2
+                        ( -296.37  -965.93   -24.25     0.89)  ; 3
+                        ( -295.23  -965.04   -24.25     0.89)  ; 4
+                         Normal
+                      )  ;  End of split
+                    )  ;  End of split
+                  |
+                    ( -297.26  -976.94   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-2-1-2
+                    ( -295.86  -974.53   -24.25     0.89)  ; 2
+                    ( -295.61  -971.87   -24.25     0.89)  ; 3
+                    ( -295.61  -971.75   -24.25     0.89)  ; 4
+                    ( -295.86  -969.60   -24.25     0.89)  ; 5
+                    ( -295.99  -968.96   -24.25     0.89)  ; 6
+                    ( -296.12  -968.84   -24.25     0.89)  ; 7
+                    ( -297.13  -967.32   -24.25     0.89)  ; 8
+                    ( -297.13  -967.06   -24.25     0.89)  ; 9
+                    ( -297.13  -964.28   -24.25     0.89)  ; 10
+                     Normal
+                  )  ;  End of split
+                |
+                  ( -301.94  -980.74   -24.25     1.65)  ; 1, R-2-2-2-2-2-2-2-2
+                  ( -305.61  -979.47   -24.25     1.65)  ; 2
+                  (
+                    ( -307.89  -976.43   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1
+                    (
+                      ( -307.64  -973.65   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-1
+                      ( -307.38  -968.96   -24.25     0.76)  ; 2
+                      ( -307.51  -968.84   -24.25     0.76)  ; 3
+                      ( -308.78  -965.93   -24.25     0.76)  ; 4
+                      ( -311.56  -964.66   -24.25     0.76)  ; 5
+                      ( -315.23  -959.85   -24.25     0.76)  ; 6
+                       Normal
+                    |
+                      ( -310.55  -974.53   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2
+                      ( -311.69  -972.76   -24.25     0.76)  ; 2
+                      (
+                        ( -312.95  -969.47   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1
+                        (
+                          ( -311.56  -967.19   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1-1
+                          ( -309.41  -963.77   -24.25     0.76)  ; 2
+                          ( -306.37  -961.24   -24.25     0.76)  ; 3
+                          ( -306.24  -961.12   -24.25     0.76)  ; 4
+                          ( -303.71  -959.60   -24.25     0.76)  ; 5
+                           Normal
+                        |
+                          ( -315.86  -966.94   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1-2
+                          ( -318.27  -964.79   -24.25     0.76)  ; 2
+                          ( -321.18  -963.01   -24.25     0.76)  ; 3
+                          ( -325.48  -961.24   -24.25     0.76)  ; 4
+                          ( -327.76  -959.85   -24.25     0.76)  ; 5
+                          (
+                            ( -335.36  -958.71   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1-2-1
+                            ( -338.02  -957.70   -24.25     0.76)  ; 2
+                            (
+                              ( -340.93  -958.58   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1-2-1-1
+                              ( -342.95  -959.22   -24.25     0.76)  ; 2
+                              ( -343.71  -959.34   -24.25     0.76)  ; 3
+                               Normal
+                            |
+                              ( -341.05  -956.43   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1-2-1-2
+                              ( -343.33  -956.30   -24.25     0.76)  ; 2
+                              ( -344.60  -956.68   -24.25     0.76)  ; 3
+                              ( -345.10  -956.81   -24.25     0.76)  ; 4
+                               Normal
+                            )  ;  End of split
+                          |
+                            ( -328.02  -957.44   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-1-2-2
+                            ( -328.52  -955.55   -24.25     0.76)  ; 2
+                            ( -328.14  -952.13   -24.25     0.76)  ; 3
+                            ( -328.02  -952.00   -24.25     0.76)  ; 4
+                            ( -325.23  -948.96   -24.25     0.76)  ; 5
+                             Normal
+                          )  ;  End of split
+                        )  ;  End of split
+                      |
+                        ( -315.36  -972.51   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2
+                        ( -316.12  -972.51   -24.25     0.76)  ; 2
+                        (
+                          ( -317.51  -971.49   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-1
+                          ( -319.91  -969.98   -24.25     0.76)  ; 2
+                           Normal
+                        |
+                          ( -319.03  -973.27   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-1-2-2-2
+                          ( -319.91  -973.65   -24.25     0.76)  ; 2
+                          ( -322.95  -973.77   -24.25     0.76)  ; 3
+                          ( -323.59  -973.77   -24.25     0.76)  ; 4
+                          ( -324.22  -973.77   -24.25     0.76)  ; 5
+                          ( -326.50  -973.90   -24.25     0.76)  ; 6
+                          ( -327.26  -974.03   -24.25     0.76)  ; 7
+                          ( -329.79  -974.03   -24.25     0.76)  ; 8
+                          ( -330.29  -974.03   -24.25     0.76)  ; 9
+                          ( -330.93  -974.03   -24.25     0.76)  ; 10
+                          ( -332.95  -973.77   -24.25     0.76)  ; 11
+                          ( -333.71  -973.77   -24.25     0.76)  ; 12
+                          ( -334.34  -974.03   -24.25     0.76)  ; 13
+                          ( -334.60  -974.15   -24.25     0.76)  ; 14
+                          ( -334.85  -974.28   -24.25     0.76)  ; 15
+                          ( -335.23  -974.53   -24.25     0.76)  ; 16
+                           Normal
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  |
+                    ( -309.03  -979.47   -24.25     1.27)  ; 1, R-2-2-2-2-2-2-2-2-2
+                    ( -311.94  -978.96   -24.25     1.27)  ; 2
+                    ( -314.09  -977.95   -24.25     1.27)  ; 3
+                    ( -314.85  -978.20   -24.25     1.27)  ; 4
+                    (
+                      ( -315.99  -977.06   -24.25     1.01)  ; 1, R-2-2-2-2-2-2-2-2-2-1
+                      ( -317.76  -975.67   -24.25     1.01)  ; 2
+                      (
+                        ( -319.91  -976.30   -24.25     0.76)  ; 1, R-2-2-2-2-2-2-2-2-2-1-1
+                        ( -322.07  -976.43   -24.25     0.76)  ; 2
+                        ( -322.70  -976.43   -24.25     0.76)  ; 3
+                        ( -323.71  -976.56   -24.25     0.76)  ; 4
+                        ( -324.85  -976.56   -24.25     0.76)  ; 5
+                        ( -325.99  -976.68   -24.25     0.76)  ; 6
+                        ( -327.51  -976.68   -24.25     0.76)  ; 7
+                        ( -328.14  -976.68   -24.25     0.76)  ; 8
+                        ( -328.65  -976.68   -24.25     0.76)  ; 9
+                        ( -329.66  -976.68   -24.25     0.76)  ; 10
+                        ( -330.42  -976.68   -24.25     0.76)  ; 11
+                        ( -331.05  -976.68   -24.25     0.76)  ; 12
+                         Normal
+                      |
+                        ( -320.42  -973.90   -24.25     1.01)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2
+                        ( -322.83  -972.51   -24.25     1.01)  ; 2
+                        ( -324.34  -971.24   -24.25     1.01)  ; 3
+                        ( -324.60  -971.24   -24.25     1.01)  ; 4
+                        ( -326.50  -969.47   -24.25     1.01)  ; 5
+                        (
+                          ( -327.38  -967.70   -24.25     1.01)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-1
+                          (
+                            ( -329.03  -965.29   -24.25     1.01)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-1-1
+                            ( -329.91  -963.77   -24.25     1.01)  ; 2
+                            ( -329.91  -960.86   -24.25     1.01)  ; 3
+                            ( -331.18  -957.44   -24.25     1.01)  ; 4
+                            ( -332.32  -955.29   -24.25     1.01)  ; 5
+                            ( -333.84  -954.91   -24.25     1.01)  ; 6
+                             Normal
+                          |
+                            ( -326.12  -967.06   -24.25     0.51)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-1-2
+                            ( -322.83  -965.29   -24.25     0.51)  ; 2
+                            ( -322.32  -965.04   -24.25     0.51)  ; 3
+                            ( -319.15  -963.01   -24.25     0.51)  ; 4
+                             Normal
+                          )  ;  End of split
+                        |
+                          ( -330.04  -968.20   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2
+                          (
+                            ( -331.43  -969.60   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-1
+                            ( -331.69  -969.60   -24.25     0.63)  ; 2
+                            ( -333.33  -969.72   -24.25     0.63)  ; 3
+                            ( -333.59  -969.72   -24.25     0.63)  ; 4
+                            ( -335.10  -969.85   -24.25     0.63)  ; 5
+                            (
+                              ( -337.13  -971.75   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-1-1
+                              ( -337.51  -971.75   -24.25     0.63)  ; 2
+                              ( -339.15  -972.13   -24.25     0.63)  ; 3
+                              ( -340.04  -972.25   -24.25     0.63)  ; 4
+                              ( -340.80  -972.38   -24.25     0.63)  ; 5
+                              ( -340.93  -972.38   -24.25     0.63)  ; 6
+                              ( -341.31  -972.38   -24.25     0.63)  ; 7
+                               Normal
+                            |
+                              ( -338.02  -968.71   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-1-2
+                              ( -340.55  -967.44   -24.25     0.63)  ; 2
+                              ( -341.94  -967.32   -24.25     0.63)  ; 3
+                              ( -342.57  -967.32   -24.25     0.63)  ; 4
+                              ( -344.09  -967.19   -24.25     0.63)  ; 5
+                              ( -344.60  -967.19   -24.25     0.63)  ; 6
+                              ( -345.48  -967.06   -24.25     0.63)  ; 7
+                              ( -346.24  -966.81   -24.25     0.63)  ; 8
+                              ( -346.50  -966.68   -24.25     0.63)  ; 9
+                              ( -347.26  -966.18   -24.25     0.63)  ; 10
+                              ( -347.51  -966.18   -24.25     0.63)  ; 11
+                              ( -347.89  -966.05   -24.25     0.63)  ; 12
+                              ( -348.14  -965.93   -24.25     0.63)  ; 13
+                              ( -348.52  -965.93   -24.25     0.63)  ; 14
+                               Normal
+                            )  ;  End of split
+                          |
+                            ( -332.70  -965.93   -24.25     0.89)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-2
+                            ( -334.47  -964.41   -24.25     0.89)  ; 2
+                            (
+                              ( -336.88  -964.91   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-2-1
+                              ( -337.00  -965.04   -24.25     0.63)  ; 2
+                              ( -340.29  -964.28   -24.25     0.63)  ; 3
+                              ( -342.45  -964.41   -24.25     0.63)  ; 4
+                              ( -342.57  -964.53   -24.25     0.63)  ; 5
+                              ( -344.34  -964.28   -24.25     0.63)  ; 6
+                              ( -345.23  -964.28   -24.25     0.63)  ; 7
+                              ( -347.00  -964.28   -24.25     0.63)  ; 8
+                              ( -347.38  -964.28   -24.25     0.63)  ; 9
+                              ( -349.15  -964.03   -24.25     0.63)  ; 10
+                              ( -349.53  -964.15   -24.25     0.63)  ; 11
+                              ( -349.79  -964.15   -24.25     0.63)  ; 12
+                              ( -351.05  -964.15   -24.25     0.63)  ; 13
+                              ( -351.69  -964.15   -24.25     0.63)  ; 14
+                              ( -352.70  -964.15   -24.25     0.63)  ; 15
+                              ( -353.71  -964.15   -24.25     0.63)  ; 16
+                              ( -355.10  -964.15   -24.25     0.63)  ; 17
+                              ( -355.48  -964.15   -24.25     0.63)  ; 18
+                              ( -355.74  -963.90   -24.25     0.63)  ; 19
+                              ( -356.75  -963.65   -24.25     0.63)  ; 20
+                              ( -357.26  -963.39   -24.25     0.63)  ; 21
+                              ( -357.26  -963.27   -24.25     0.63)  ; 22
+                              ( -358.78  -962.76   -24.25     0.63)  ; 23
+                               Normal
+                            |
+                              ( -336.12  -962.89   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-2-2
+                              ( -337.76  -961.75   -24.25     0.63)  ; 2
+                              ( -338.14  -961.62   -24.25     0.63)  ; 3
+                              ( -340.67  -961.37   -24.25     0.63)  ; 4
+                              ( -341.18  -961.37   -24.25     0.63)  ; 5
+                              ( -342.70  -961.37   -24.25     0.63)  ; 6
+                              ( -343.33  -961.37   -24.25     0.63)  ; 7
+                              ( -343.59  -961.49   -24.25     0.63)  ; 8
+                              ( -344.85  -961.49   -24.25     0.63)  ; 9
+                              ( -345.10  -961.49   -24.25     0.63)  ; 10
+                              ( -345.86  -961.49   -24.25     0.63)  ; 11
+                              (
+                                ( -346.62  -960.61   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-2-2-1
+                                ( -348.02  -958.96   -24.25     0.63)  ; 2
+                                ( -348.02  -958.71   -24.25     0.63)  ; 3
+                                ( -348.52  -957.82   -24.25     0.63)  ; 4
+                                ( -348.52  -957.70   -24.25     0.63)  ; 5
+                                ( -348.65  -956.05   -24.25     0.63)  ; 6
+                                ( -348.14  -954.91   -24.25     0.63)  ; 7
+                                 Normal
+                              |
+                                ( -348.40  -961.37   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-2-2-2
+                                ( -350.67  -961.37   -24.25     0.63)  ; 2
+                                ( -351.18  -961.37   -24.25     0.63)  ; 3
+                                ( -352.32  -961.37   -24.25     0.63)  ; 4
+                                ( -352.57  -961.37   -24.25     0.63)  ; 5
+                                (
+                                  ( -355.48  -960.48   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-2-2-2-1
+                                  ( -357.00  -959.22   -24.25     0.63)  ; 2
+                                  ( -357.38  -959.22   -24.25     0.63)  ; 3
+                                  ( -359.79  -957.44   -24.25     0.63)  ; 4
+                                  ( -360.04  -957.32   -24.25     0.63)  ; 5
+                                  ( -360.42  -957.19   -24.25     0.63)  ; 6
+                                  ( -362.95  -955.80   -24.25     0.63)  ; 7
+                                  ( -364.09  -955.80   -24.25     0.63)  ; 8
+                                  ( -365.23  -955.55   -24.25     0.63)  ; 9
+                                  ( -365.36  -955.55   -24.25     0.63)  ; 10
+                                   Normal
+                                |
+                                  ( -352.83  -959.85   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-1-2-2-2-2-2-2
+                                  ( -353.08  -959.34   -24.25     0.63)  ; 2
+                                  ( -353.96  -956.68   -24.25     0.63)  ; 3
+                                  ( -354.34  -956.43   -24.25     0.63)  ; 4
+                                  ( -356.50  -955.17   -24.25     0.63)  ; 5
+                                  ( -356.88  -955.17   -24.25     0.63)  ; 6
+                                  ( -358.40  -954.41   -24.25     0.63)  ; 7
+                                  ( -359.03  -953.90   -24.25     0.63)  ; 8
+                                  ( -360.42  -952.63   -24.25     0.63)  ; 9
+                                   Normal
+                                )  ;  End of split
+                              )  ;  End of split
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    |
+                      ( -317.38  -979.47   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2
+                      ( -317.64  -979.72   -24.25     0.63)  ; 2
+                      ( -319.41  -980.36   -24.25     0.63)  ; 3
+                      ( -320.29  -980.48   -24.25     0.63)  ; 4
+                      ( -324.09  -981.12   -24.25     0.63)  ; 5
+                      ( -324.22  -981.12   -24.25     0.63)  ; 6
+                      ( -324.85  -981.12   -24.25     0.63)  ; 7
+                      ( -328.14  -980.48   -24.25     0.63)  ; 8
+                      ( -332.32  -979.09   -24.25     0.63)  ; 9
+                      (
+                        ( -333.59  -981.62   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-1
+                        ( -334.98  -982.25   -24.25     0.63)  ; 2
+                        ( -335.23  -982.25   -24.25     0.63)  ; 3
+                        ( -335.36  -982.38   -24.25     0.63)  ; 4
+                        ( -338.90  -984.03   -24.25     0.63)  ; 5
+                        (
+                          ( -341.18  -987.57   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-1-1
+                          ( -341.31  -987.57   -24.25     0.63)  ; 2
+                          ( -344.09  -991.37   -24.25     0.63)  ; 3
+                          ( -345.23  -992.89   -24.25     0.63)  ; 4
+                          ( -345.36  -993.14   -24.25     0.63)  ; 5
+                          ( -345.74  -993.39   -24.25     0.63)  ; 6
+                          ( -348.14  -995.04   -24.25     0.63)  ; 7
+                          ( -348.65  -995.17   -24.25     0.63)  ; 8
+                          ( -351.18  -996.18   -24.25     0.63)  ; 9
+                          ( -351.56  -996.18   -24.25     0.63)  ; 10
+                           Normal
+                        |
+                          ( -343.33  -984.28   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-1-2
+                          ( -347.89  -984.66   -24.25     0.63)  ; 2
+                          ( -348.14  -984.66   -24.25     0.63)  ; 3
+                          ( -350.42  -985.42   -24.25     0.63)  ; 4
+                          ( -351.05  -985.42   -24.25     0.63)  ; 5
+                          ( -353.21  -986.30   -24.25     0.63)  ; 6
+                          ( -353.71  -986.30   -24.25     0.63)  ; 7
+                          ( -355.61  -986.68   -24.25     0.63)  ; 8
+                          ( -355.99  -986.68   -24.25     0.63)  ; 9
+                          ( -356.37  -986.68   -24.25     0.63)  ; 10
+                           Normal
+                        )  ;  End of split
+                      |
+                        ( -333.96  -978.46   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2
+                        ( -334.22  -978.58   -24.25     0.63)  ; 2
+                        (
+                          ( -335.86  -978.96   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-1
+                          ( -338.52  -979.72   -24.25     0.63)  ; 2
+                          ( -339.03  -979.60   -24.25     0.63)  ; 3
+                          ( -341.94  -979.34   -24.25     0.63)  ; 4
+                          ( -342.32  -979.34   -24.25     0.63)  ; 5
+                          ( -344.47  -979.98   -24.25     0.63)  ; 6
+                          ( -344.72  -980.23   -24.25     0.63)  ; 7
+                          ( -347.26  -981.75   -24.25     0.63)  ; 8
+                          ( -347.38  -981.75   -24.25     0.63)  ; 9
+                          ( -349.79  -982.25   -24.25     0.63)  ; 10
+                          ( -350.80  -982.25   -24.25     0.63)  ; 11
+                          ( -352.57  -982.25   -24.25     0.63)  ; 12
+                          ( -353.21  -982.13   -24.25     0.63)  ; 13
+                          ( -353.46  -981.87   -24.25     0.63)  ; 14
+                          ( -354.34  -981.75   -24.25     0.63)  ; 15
+                          ( -354.72  -981.49   -24.25     0.63)  ; 16
+                          ( -355.36  -980.99   -24.25     0.63)  ; 17
+                          ( -356.75  -980.99   -24.25     0.63)  ; 18
+                          ( -357.38  -980.99   -24.25     0.63)  ; 19
+                          ( -358.40  -980.99   -24.25     0.63)  ; 20
+                          ( -358.90  -980.99   -24.25     0.63)  ; 21
+                          ( -360.29  -981.12   -24.25     0.63)  ; 22
+                          ( -361.31  -981.24   -24.25     0.63)  ; 23
+                          ( -361.43  -981.24   -24.25     0.63)  ; 24
+                          ( -362.45  -981.87   -24.25     0.63)  ; 25
+                          ( -362.57  -982.13   -24.25     0.63)  ; 26
+                          ( -363.59  -982.13   -24.25     0.63)  ; 27
+                          ( -364.09  -982.25   -24.25     0.63)  ; 28
+                          ( -364.34  -982.25   -24.25     0.63)  ; 29
+                          ( -364.98  -982.38   -24.25     0.63)  ; 30
+                          ( -364.98  -982.51   -24.25     0.63)  ; 31
+                          ( -366.12  -982.63   -24.25     0.63)  ; 32
+                          ( -366.50  -983.01   -24.25     0.63)  ; 33
+                          ( -366.62  -983.01   -24.25     0.63)  ; 34
+                           Normal
+                        |
+                          ( -336.50  -976.05   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2
+                          ( -340.42  -974.79   -24.25     0.63)  ; 2
+                          ( -340.55  -974.79   -24.25     0.63)  ; 3
+                          ( -342.32  -974.66   -24.25     0.63)  ; 4
+                          (
+                            ( -343.33  -973.65   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-1
+                            ( -344.85  -971.37   -24.25     0.63)  ; 2
+                            ( -346.50  -970.23   -24.25     0.63)  ; 3
+                            ( -346.62  -970.23   -24.25     0.63)  ; 4
+                            ( -349.79  -969.09   -24.25     0.63)  ; 5
+                            ( -350.67  -969.09   -24.25     0.63)  ; 6
+                            ( -352.32  -968.96   -24.25     0.63)  ; 7
+                            ( -353.59  -968.96   -24.25     0.63)  ; 8
+                            ( -354.34  -968.96   -24.25     0.63)  ; 9
+                            ( -354.47  -968.96   -24.25     0.63)  ; 10
+                            ( -355.74  -968.84   -24.25     0.63)  ; 11
+                            (
+                              ( -356.12  -967.82   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-1-1
+                              ( -356.24  -967.82   -24.25     0.63)  ; 2
+                              ( -359.79  -966.05   -24.25     0.63)  ; 3
+                              ( -360.29  -966.05   -24.25     0.63)  ; 4
+                              ( -363.59  -966.05   -24.25     0.63)  ; 5
+                              ( -363.97  -966.05   -24.25     0.63)  ; 6
+                               Normal
+                            |
+                              ( -358.14  -971.12   -24.75     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-1-2
+                              ( -358.52  -971.12   -24.75     0.63)  ; 2
+                              ( -361.81  -970.36   -24.75     0.63)  ; 3
+                              ( -362.70  -970.10   -24.75     0.63)  ; 4
+                              ( -364.60  -968.58   -24.75     0.63)  ; 5
+                              ( -364.72  -968.58   -24.75     0.63)  ; 6
+                              ( -365.61  -967.70   -24.75     0.63)  ; 7
+                               Normal
+                            )  ;  End of split
+                          |
+                            ( -345.99  -975.55   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2
+                            (
+                              ( -349.41  -974.53   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-1
+                              ( -349.91  -974.53   -24.25     0.63)  ; 2
+                              ( -351.56  -974.03   -24.25     0.63)  ; 3
+                              ( -351.81  -973.77   -24.25     0.63)  ; 4
+                              ( -352.32  -973.39   -24.25     0.63)  ; 5
+                              ( -352.45  -973.27   -24.25     0.63)  ; 6
+                              ( -355.86  -973.01   -24.25     0.63)  ; 7
+                              ( -356.50  -973.01   -24.25     0.63)  ; 8
+                              ( -356.75  -973.01   -24.25     0.63)  ; 9
+                               Normal
+                            |
+                              ( -349.15  -977.44   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-2
+                              ( -349.28  -977.44   -24.25     0.63)  ; 2
+                              ( -353.08  -977.44   -24.25     0.63)  ; 3
+                              ( -353.84  -977.19   -24.25     0.63)  ; 4
+                              ( -355.36  -976.81   -24.25     0.63)  ; 5
+                              (
+                                ( -359.03  -976.94   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-2-1
+                                ( -359.66  -976.94   -24.25     0.63)  ; 2
+                                ( -362.19  -977.06   -24.25     0.63)  ; 3
+                                ( -362.32  -977.06   -24.25     0.63)  ; 4
+                                ( -362.95  -977.06   -24.25     0.63)  ; 5
+                                ( -363.08  -977.06   -24.25     0.63)  ; 6
+                                ( -365.23  -974.66   -24.25     0.63)  ; 7
+                                ( -365.36  -974.41   -24.25     0.63)  ; 8
+                                ( -367.13  -974.15   -24.25     0.63)  ; 9
+                                ( -367.51  -974.28   -24.25     0.63)  ; 10
+                                ( -367.76  -974.41   -24.25     0.63)  ; 11
+                                ( -370.67  -977.19   -24.25     0.63)  ; 12
+                                ( -370.80  -977.44   -24.25     0.63)  ; 13
+                                ( -371.31  -977.82   -24.25     0.63)  ; 14
+                                ( -371.69  -978.08   -24.25     0.63)  ; 15
+                                ( -371.81  -978.20   -24.25     0.63)  ; 16
+                                ( -372.83  -978.96   -24.25     0.63)  ; 17
+                                ( -373.21  -979.09   -24.25     0.63)  ; 18
+                                 Normal
+                              |
+                                ( -360.17  -974.15   -24.25     0.63)  ; 1, R-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2
+                                ( -362.95  -972.76   -24.25     0.63)  ; 2
+                                ( -363.21  -972.63   -24.25     0.63)  ; 3
+                                ( -366.62  -971.24   -24.25     0.63)  ; 4
+                                ( -367.51  -971.24   -24.25     0.63)  ; 5
+                                ( -369.28  -971.49   -24.25     0.63)  ; 6
+                                ( -369.66  -971.62   -24.25     0.63)  ; 7
+                                ( -370.04  -971.62   -24.25     0.63)  ; 8
+                                ( -370.80  -972.00   -24.25     0.63)  ; 9
+                                ( -371.31  -972.13   -24.25     0.63)  ; 10
+                                ( -371.43  -972.13   -24.25     0.63)  ; 11
+                                ( -372.70  -972.13   -24.25     0.63)  ; 12
+                                ( -373.71  -971.87   -24.25     0.63)  ; 13
+                                ( -373.84  -971.75   -24.25     0.63)  ; 14
+                                 Normal
+                              )  ;  End of split
+                            )  ;  End of split
+                          )  ;  End of split
+                        )  ;  End of split
+                      )  ;  End of split
+                    )  ;  End of split
+                  )  ;  End of split
+                )  ;  End of split
+              )  ;  End of split
+            )  ;  End of split
+          )  ;  End of split
+        )  ;  End of split
+      )  ;  End of split
+    )  ;  End of split
+  )  ;  End of split
+)  ;  End of tree
diff --git a/docs/tutorial/01_opt_external_models/run_bionet.added_channels.py b/docs/tutorial/01_opt_external_models/run_bionet.added_channels.py
new file mode 100755
index 00000000..bef0b614
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/run_bionet.added_channels.py
@@ -0,0 +1,37 @@
+# -*- coding: utf-8 -*-
+import os, sys
+from pprint import pprint
+from neuron import h
+
+from bmtk.simulator import bionet
+from bmtk.simulator.bionet.io_tools import io
+
+
+@bionet.model_processing
+def add_channels(hoc_obj, cell, dynamics_params):
+    for sec in hoc_obj.all:
+        if 'axon' in sec.name():
+            continue
+
+        sec.insert('iahp')
+        setattr(sec, 'gkbar_iahp', 3.0e-04)
+        setattr(sec, 'taum_iahp', 0.5)
+        
+    return hoc_obj
+
+
+def run(config_file):
+    conf = bionet.Config.from_json(config_file, validate=True)
+    conf.build_env()
+
+    graph = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=graph)
+    sim.run()
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    if __file__ != sys.argv[-1]:
+        run(sys.argv[-1])
+    else:
+        run('config.added_channels.json')
diff --git a/docs/tutorial/01_opt_external_models/run_bionet.ball_and_stick.py b/docs/tutorial/01_opt_external_models/run_bionet.ball_and_stick.py
new file mode 100644
index 00000000..742f1678
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/run_bionet.ball_and_stick.py
@@ -0,0 +1,75 @@
+"""Simulates an example network of 450 cells receiving two kinds of external input as defined in the configuration file"""
+import os
+import sys
+from bmtk.simulator import bionet
+from bmtk.simulator.bionet.io_tools import io
+
+from neuron import h
+
+
+class BallAndStick:
+    def __init__(self, cell):
+        self._gid = cell['node_id']
+        self._setup_morphology(cell)
+        self._setup_biophysics(cell)
+
+    def _setup_morphology(self, cell):
+        self.soma = h.Section(name='soma', cell=self)
+        self.dend = h.Section(name='dend', cell=self)
+        self.all = [self.soma, self.dend]
+        self.dend.connect(self.soma)
+        self.soma.L = self.soma.diam = 12.6157
+        self.dend.L = 200
+        self.dend.diam = 1
+    
+    def _setup_biophysics(self, cell):
+        for sec in self.all:
+            sec.Ra = 100    # Axial resistance in Ohm * cm
+            sec.cm = 1      # Membrane capacitance in micro Farads / cm^2
+        self.soma.insert('hh')                                          
+        for seg in self.soma:
+            seg.hh.gnabar = cell['gnabar']  # Sodium conductance in S/cm2
+            seg.hh.gkbar = cell['gkbar']  # Potassium conductance in S/cm2
+            seg.hh.gl = cell['gl']    # Leak conductance in S/cm2
+            seg.hh.el = cell['el']     # Reversal potential in mV
+        # Insert passive current in the dendrite                       # <-- NEW
+        self.dend.insert('pas')                                        # <-- NEW
+        for seg in self.dend:                                          # <-- NEW
+            seg.pas.g = cell['g_pas']  # Passive conductance in S/cm2          # <-- NEW
+            seg.pas.e = cell['e_pas']    # Leak reversal potential mV            # <-- NEW 
+    
+    def __repr__(self):
+        return 'BallAndStick[{}]'.format(self._gid)
+
+
+@bionet.cell_model(directive='python:loadBAS', model_type='biophysical')
+def loadPurkinjeModel(cell, template_name, dynamics_params):
+    print('HERE')
+    bas_cell = BallAndStick(cell)
+    return bas_cell
+    # soma = h.Section(name='soma', cell=self)
+    # self.dend = h.Section(name='dend', cell=self)
+    # exit()
+    # io.log_info(f'Loading cell {cell.node_id}, tempalate {template_name}, with spines_on={cell["spines_on"]}')
+    # cell = Purkinje_Morpho_1(cell['spines_on'])
+    # return cell
+
+
+def run(config_path):
+    conf = bionet.Config.from_json(config_path, validate=True)
+    conf.build_env()
+
+    graph = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=graph)
+    sim.run()
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    if __file__ != sys.argv[-1]:
+        config_path = sys.argv[-1]
+        run(config_path)
+    else:
+        # run('config.simulation_syns.json')
+        run('config.simulation_iclamp.json')
+
diff --git a/docs/tutorial/01_opt_external_models/run_bionet.modified_densities.py b/docs/tutorial/01_opt_external_models/run_bionet.modified_densities.py
new file mode 100755
index 00000000..ce21b799
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/run_bionet.modified_densities.py
@@ -0,0 +1,49 @@
+# -*- coding: utf-8 -*-
+import os, sys
+from pprint import pprint
+from neuron import h
+
+from bmtk.simulator import bionet
+from bmtk.simulator.bionet.io_tools import io
+
+
+@bionet.model_processing
+def adjust_densities(hoc_obj, cell, dynamics_params):
+    n_segs = 0
+    n_segs_updated = 0
+    for sec in hoc_obj.apic:
+        for seg in sec:
+            n_segs += 1
+            if h.distance(seg) > 1000:
+                n_segs_updated += 1
+                org_cond = getattr(seg, 'gbar_Ih')
+                new_cond = org_cond*0.5
+                setattr(seg, 'gbar_Ih', new_cond)
+
+    print(f'{n_segs_updated} out of {n_segs} apical dendritic segments updated.')
+    return hoc_obj
+
+
+# @bionet.model_processing(name='adjust_densities')
+# def check_mechanisms(hoc_obj, cell, dynamics_params):
+#     for sec in hoc_obj.apic:
+#         print(sec.name())
+#         pprint(sec.psection())
+#         break
+
+
+def run(config_file):
+    conf = bionet.Config.from_json(config_file, validate=True)
+    conf.build_env()
+
+    graph = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=graph)
+    sim.run()
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    if __file__ != sys.argv[-1]:
+        run(sys.argv[-1])
+    else:
+        run('config.simulation.json')
diff --git a/docs/tutorial/01_opt_external_models/run_bionet.purkinje.py b/docs/tutorial/01_opt_external_models/run_bionet.purkinje.py
new file mode 100644
index 00000000..15cb46d6
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/run_bionet.purkinje.py
@@ -0,0 +1,34 @@
+"""Simulates an example network of 450 cells receiving two kinds of external input as defined in the configuration file"""
+import os
+import sys
+from bmtk.simulator import bionet
+from bmtk.simulator.bionet.io_tools import io
+
+from Purkinje_morpho_1 import Purkinje_Morpho_1
+
+
+@bionet.cell_model(directive='python:Purkinje_morph_1', model_type='biophysical')
+def loadPurkinjeModel(cell, template_name, dynamics_params):
+    io.log_info(f'Loading cell {cell.node_id}, tempalate {template_name}, with spines_on={cell["spines_on"]}')
+    cell = Purkinje_Morpho_1(cell['spines_on'])
+    return cell
+
+
+def run(config_path):
+    conf = bionet.Config.from_json(config_path, validate=True)
+    conf.build_env()
+
+    graph = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=graph)
+    sim.run()
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    if __file__ != sys.argv[-1]:
+        config_path = sys.argv[-1]
+        run(config_path)
+    else:
+        # run('config.simulation_syns.json')
+        run('config.simulation_iclamp.json')
+
diff --git a/docs/tutorial/01_opt_external_models/run_bionet.py b/docs/tutorial/01_opt_external_models/run_bionet.py
new file mode 100755
index 00000000..78af3307
--- /dev/null
+++ b/docs/tutorial/01_opt_external_models/run_bionet.py
@@ -0,0 +1,20 @@
+# -*- coding: utf-8 -*-
+import os, sys
+from bmtk.simulator import bionet
+
+
+def run(config_file):
+    conf = bionet.Config.from_json(config_file, validate=True)
+    conf.build_env()
+
+    graph = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=graph)
+    sim.run()
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    if __file__ != sys.argv[-1]:
+        run(sys.argv[-1])
+    else:
+        run('/local1/workspace/Notebooks/bmtk-workshop/opt_external_models/config.hay_syns.json')
diff --git a/docs/tutorial/02_opt_nest_custom_models/Ch_NEST_Cusom_Models.ipynb b/docs/tutorial/02_opt_nest_custom_models/Ch_NEST_Cusom_Models.ipynb
new file mode 100644
index 00000000..6f7000e4
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/Ch_NEST_Cusom_Models.ipynb
@@ -0,0 +1,1245 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "386a5424-30e2-4e40-ac4e-547846da1294",
+   "metadata": {},
+   "source": [
+    "# Extending PointNet Networks and Simulation with External and Customized Models.\n",
+    "\n",
+    "In this tutorial, we explain through a series of examples how to use and simulate built-in NEST cell and synaptic models, and create and import custom models using NESTML, as well as ways to dynamically change cells parametters before each simulation.\n",
+    "\n",
+    "**Note** - scripts and files for running this tutorial can be found in the directory [02_opt_nest_custom_models/](https://github.com/AllenInstitute/bmtk/tree/develop/docs/tutorial/02_opt_nest_custom_models)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0ad93be7-1947-481c-8975-79438bd04593",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## Contents\n",
+    "1. [Example: Using built-in NEST models](#example-advance-icalmp)\n",
+    "2. [Example: Custom cell models with NESTML](#example-nestml)\n",
+    "3. [Example: Overriding the creation of cell models](#example-cell-creation)\n",
+    "4. [Example: Switching between synaptic models](#example-switching-models)\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b24846e8-de07-4d2e-bd41-ea2b62c64ad3",
+   "metadata": {},
+   "source": [
+    "## 1. Example: Using Built-In NEST Models <a class=\"anchor\" id=\"example-nest-models\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e9d5cd7c-b786-424e-9cfe-f51cf0e203c1",
+   "metadata": {},
+   "source": [
+    "PointNet utlizes the NEST simulator for running point-neuron simulations, which includes many different varieties and types of neuronal models the majority of which can readily used during simulation in BMTK. An very useful practice is to take an existing network model built on model of a cell and replace it with a different cell model that more closely fits the needs of our research. With BMTK and SONATA this can be easily done, often without any programming, and even done on the fly before any given simulation.\n",
+    "\n",
+    "A list of available models built into the NEST simulator can be found [here](https://nest-simulator.readthedocs.io/en/stable/models/index.html).\n",
+    "\n",
+    "Most of the spiking models will work out-of-the-box in BMTK, readily swapped in and out of existing simulations, and you can use multiple models in the same network. (*We will ignore rates-based models which can only tentively work with BMTK. And for devices like genators and recorders PointNet uses a separate way of inserting them into the simulation*). To define what model will be used with a specific subset of cells and their properties, SONATA has two defined reserved attributes `model_template` and `dynamics_params` which we will take advantage of in this example."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9de5ab45-f067-4b56-ab29-cd01569ab5c1",
+   "metadata": {},
+   "source": [
+    "### Setting the model type in our network."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "13ad2a5b-6d0d-450b-b78e-e75806477644",
+   "metadata": {},
+   "source": [
+    "The default way to set the model type for subset of neurons (which may be just a single neuron) that all use the same built-in NEST model type is to set the the **model_type** attributes to a value `nest:<nest-model-name>` where `<nest-model-name>` is the name of one of the spiking [NEST cell models](https://nest-simulator.readthedocs.io/en/stable/models/index.html). However, different models will have different parameters. There are multiple ways to set model parameters in BMTK, but the one that is most flexible and will make it easier to switch out different models while testing and optimizing our network is to set the **dynamics_params** to an easy to edit json file.\n",
+    "\n",
+    "In the below example (*build_network.built_in.py*) will built a simple 100 cell network with synaptic stimuli. Initialally we will use [izhikevich](https://nest-simulator.readthedocs.io/en/stable/models/izhikevich.html) models using default params (**hint**: if the dynamics_params .json file is just an empty json file, then the cells will be loaded with the default params. This is a useful starting point). But you can change the **nest_model** (and optionally the **dynamics_params**) variable below to build the same network using different model types"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "8dfcdc1f-8e52-459c-82ba-819e4304e7fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nest_model = 'nest:izhikevich'\n",
+    "# nest_model = 'nest:iaf_psc_delta'\n",
+    "# nest_model = 'nest:aeif_cond_alpha'\n",
+    "# nest_model = 'nest:glif_psc'\n",
+    "\n",
+    "dynamics_params = 'custom_model_params.default.json'\n",
+    "# dynamics_params = 'custom_model_params.izhikevich.json'\n",
+    "# dynamics_params = 'custom_model_params.aeif_cond_alpha.json'\n",
+    "# dynamics_params = 'custom_model_params.glif_psc.json'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "560a5df1-dc8c-4884-bc6c-077478b6f72e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[OSXLTC5747Y:45465] shmem: mmap: an error occurred while determining whether or not /var/folders/pr/_10c7kr546b1t7cf9z259z_40000gp/T//ompi.OSXLTC5747Y.502/jf.0/3216834560/sm_segment.OSXLTC5747Y.502.bfbd0000.0 could be created.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "from bmtk.builder import NetworkBuilder\n",
+    "\n",
+    "\n",
+    "net = NetworkBuilder('net')\n",
+    "net.add_nodes(\n",
+    "    N=100,\n",
+    "    model_type='point_neuron',\n",
+    "    model_template=nest_model,\n",
+    "    dynamics_params=dynamics_params\n",
+    ")\n",
+    "\n",
+    "net.add_edges(\n",
+    "    source=net.nodes(), target=net.nodes(),\n",
+    "    connection_rule=1,\n",
+    "    syn_weight=2.0,\n",
+    "    delay=1.5,\n",
+    "    dynamics_params='ExcToInh.json',\n",
+    "    model_template='static_synapse'\n",
+    ")\n",
+    "\n",
+    "net.build()\n",
+    "net.save(output_dir='network_built_in')\n",
+    "\n",
+    "\n",
+    "virt_exc = NetworkBuilder('virt_exc')\n",
+    "virt_exc.add_nodes(\n",
+    "    N=10,\n",
+    "    model_type='virtual'\n",
+    ")\n",
+    "\n",
+    "virt_exc.add_edges(\n",
+    "    target=net.nodes(),\n",
+    "    connection_rule=lambda *_: np.random.randint(0, 10),\n",
+    "    syn_weight=2.0,\n",
+    "    delay=1.0,\n",
+    "    dynamics_params='ExcToInh.json',\n",
+    "    model_template='static_synapse'\n",
+    ")\n",
+    "\n",
+    "virt_exc.build()\n",
+    "virt_exc.save(output_dir='network_built_in')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ced04e1-511f-4e17-8c26-d8da389a7236",
+   "metadata": {},
+   "source": [
+    "If you have access to an existing model but not the build-script, or if rebuilding the network is too time consuming and/or expensive, then another option to swap out different models is to open the *node_types.csv* in an text editor (especially ones that support csv forats like VSCode or Atom), update the **model_template** and **dynamics_params** attributes, then rerun the simulation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "4167ebf8-4802-4c2c-8ac7-fea1cabd5505",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>node_type_id</th>\n",
+       "      <th>dynamics_params</th>\n",
+       "      <th>model_type</th>\n",
+       "      <th>model_template</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>100</td>\n",
+       "      <td>custom_model_params.default.json</td>\n",
+       "      <td>point_neuron</td>\n",
+       "      <td>nest:izhikevich</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   node_type_id                   dynamics_params    model_type  \\\n",
+       "0           100  custom_model_params.default.json  point_neuron   \n",
+       "\n",
+       "    model_template  \n",
+       "0  nest:izhikevich  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "pd.read_csv('network_built_in/net_node_types.csv', sep=' ')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e0700fb-674e-40d9-bbec-b49697e4e9e9",
+   "metadata": {},
+   "source": [
+    "We encourage you to try running the network yourself by either running in the command line or un\n",
+    "```\n",
+    "$ python run_pointnet.built_in.py config.built_in.json\n",
+    "```\n",
+    "or with the below cell, trying it with different cell models. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3aa1cd9b-0b93-4d33-b0d8-89ea13cff66c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "              -- N E S T --\n",
+      "  Copyright (C) 2004 The NEST Initiative\n",
+      "\n",
+      " Version: 3.7.0\n",
+      " Built: May 24 2024 10:13:36\n",
+      "\n",
+      " This program is provided AS IS and comes with\n",
+      " NO WARRANTY. See the file LICENSE for details.\n",
+      "\n",
+      " Problems or suggestions?\n",
+      "   Visit https://www.nest-simulator.org\n",
+      "\n",
+      " Type 'nest.help()' to find out more about NEST.\n",
+      "\n",
+      "2024-10-21 15:11:35,805 [INFO] Created log file\n",
+      "2024-10-21 15:11:35,813 [INFO] Batch processing nodes for net/0.\n",
+      "2024-10-21 15:11:35,816 [INFO] Batch processing nodes for virt_exc/0.\n",
+      "2024-10-21 15:11:35,827 [INFO] Setting up output directory\n",
+      "2024-10-21 15:11:35,827 [INFO] Building cells.\n",
+      "2024-10-21 15:11:35,830 [INFO] Building recurrent connections\n",
+      "2024-10-21 15:11:35,834 [INFO] Network created.\n",
+      "2024-10-21 15:11:35,834 [INFO] Build virtual cell stimulations for thalamus_spikes\n",
+      "2024-10-21 15:11:35,844 [INFO] Starting Simulation\n",
+      "2024-10-21 15:11:39,062 [INFO] Simulation finished, finalizing results.\n",
+      "2024-10-21 15:11:39,351 [INFO] Done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import pointnet\n",
+    "\n",
+    "configure = pointnet.Config.from_json('config.built_in.json')\n",
+    "configure.build_env()\n",
+    "\n",
+    "network = pointnet.PointNetwork.from_config(configure)\n",
+    "sim = pointnet.PointSimulator.from_config(configure, network)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "48bae8e9-4b80-4c81-b67a-2bc3759e75ad",
+   "metadata": {},
+   "source": [
+    "One thing to note is that when you replace one cell-model with another you may often get widely varying results. A network that is stable or silent in using one cell type may explode when a model gets replaced. Fixing this may require the or both of the following following:\n",
+    "* Adjusting the **dynamics_params** of the new cell type.\n",
+    "* Adjust the synaptic models and parameters (especially **syn_weight**)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ad7f269-b7a8-474a-826d-54b18a8a9466",
+   "metadata": {},
+   "source": [
+    "## 2. Example: Importing Custom NESTML cell models <a class=\"anchor\" id=\"example-nestml\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4aed8676-b485-4da0-8ee5-b162de8933ca",
+   "metadata": {},
+   "source": [
+    "If you aren't able to find a signficant cell model that will work for your network already built into NEST, then one option is to create it yourself (or import from an existing model) using [NESTML](https://nestml.readthedocs.io/en/latest/). NESTML is a library to build, compile, and insert customized NEST cell and synapse models into a simulation. NESTML provides a very simple language for building all kinds of cell models. And these models can be readily inserted into BMTK with only a few minor changes to the SONATA configuration files.\n",
+    "\n",
+    "#### Note\n",
+    "\n",
+    "To build cell models using NESTML it requires [installing the python package](https://nestml.readthedocs.io/en/latest/installation.html). While NESTML does have a PyPI (eg `pip`) option for installing the package, due to its rapid changes we recommend that for the time being install directly from github. Otherwise some. As of at-least version 7.0.2 (April 2024) the instructions below and in the official tutorials has issues with the PyPI install."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30752987-7dd3-4864-9177-5f69fac6f367",
+   "metadata": {},
+   "source": [
+    "### Building the models"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f3399aa0-86f6-4f7f-a1a4-5d7c17a5400d",
+   "metadata": {},
+   "source": [
+    "First step is to create and compile the NESTML cell model(s). This usually requires creating a `.nestml` file in a regular text editor and adding information about parameters, equations, inputs and outputs in a tab indented file. The documentation contains very [well written language documentation](https://nestml.readthedocs.io/en/latest/nestml_language/nestml_language_concepts.html) and their [github repo contains many example cell and synaptic models](https://github.com/nest/nestml/tree/master/models) which you can expand upon for your models. For simplicity we'll go ahead and reimplement the `Izhikevich` model from the tutorial. The model is implemented in the following:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1ad33736-deaa-4e8b-aaea-396fa646688a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nestml_izh_model = \"\"\"\n",
+    "model custom_izh_neuron:\n",
+    "\n",
+    "    state:\n",
+    "        v mV = -65 mV    # Membrane potential in mV\n",
+    "        u real = 0    # Membrane potential recovery variable\n",
+    "\n",
+    "    equations:\n",
+    "        v' = (.04 * v * v / mV + 5 * v + (140 - u) * mV + (I_e * GOhm)) / ms\n",
+    "        u' = a * (b * v - u * mV) / (mV * ms)\n",
+    "\n",
+    "    parameters:\n",
+    "        a real = .02    # describes time scale of recovery variable\n",
+    "        b real = .2    # sensitivity of recovery variable\n",
+    "        c mV = -65 mV    # after-spike reset value of v\n",
+    "        d real = 8.    # after-spike reset value of u\n",
+    "\n",
+    "    input:\n",
+    "        spikes <- spike\n",
+    "        I_e pA <- continuous\n",
+    "\n",
+    "    output:\n",
+    "        spike\n",
+    "\n",
+    "    update:\n",
+    "        integrate_odes()\n",
+    "\n",
+    "    onReceive(spikes):\n",
+    "        # add synaptic current\n",
+    "        v += spikes * mV * s\n",
+    "\n",
+    "    onCondition(v >= 30mV):\n",
+    "        # threshold crossing\n",
+    "        v = c\n",
+    "        u += d\n",
+    "        emit_spike()\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0813c963-9b42-4594-9a6c-e6bb12ef3d5c",
+   "metadata": {},
+   "source": [
+    "Then we use the following to build the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "7c023a32-8e16-4f3f-a0a5-c06f41069df5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "              -- N E S T --\n",
+      "  Copyright (C) 2004 The NEST Initiative\n",
+      "\n",
+      " Version: 3.7.0\n",
+      " Built: May 24 2024 10:13:36\n",
+      "\n",
+      " This program is provided AS IS and comes with\n",
+      " NO WARRANTY. See the file LICENSE for details.\n",
+      "\n",
+      " Problems or suggestions?\n",
+      "   Visit https://www.nest-simulator.org\n",
+      "\n",
+      " Type 'nest.help()' to find out more about NEST.\n",
+      "\n",
+      "[13,custom_izh_neuron_nestml, WARNING, [13:8;13:17]]: Variable 'a' has the same name as a physical unit!\n",
+      "[14,custom_izh_neuron_nestml, WARNING, [16:8;16:17]]: Variable 'd' has the same name as a physical unit!\n",
+      "[23,custom_izh_neuron_nestml, WARNING, [13:8;13:17]]: Variable 'a' has the same name as a physical unit!\n",
+      "[24,custom_izh_neuron_nestml, WARNING, [16:8;16:17]]: Variable 'd' has the same name as a physical unit!\n",
+      "\u001b[33mCMake Warning (dev) at CMakeLists.txt:93 (project):\n",
+      "  cmake_minimum_required() should be called prior to this top-level project()\n",
+      "  call.  Please see the cmake-commands(7) manual for usage documentation of\n",
+      "  both commands.\n",
+      "This warning is for project developers.  Use -Wno-dev to suppress it.\n",
+      "\u001b[0m\n",
+      "-- The CXX compiler identification is Clang 17.0.6\n",
+      "-- Detecting CXX compiler ABI info\n",
+      "-- Detecting CXX compiler ABI info - done\n",
+      "-- Check for working CXX compiler: /opt/anaconda3/envs/bmtk/bin/arm64-apple-darwin20.0.0-clang++ - skipped\n",
+      "-- Detecting CXX compile features\n",
+      "-- Detecting CXX compile features - done\n",
+      "\u001b[0m\u001b[0m\n",
+      "\u001b[0m-------------------------------------------------------\u001b[0m\n",
+      "\u001b[0mnestml_izh_module Configuration Summary\u001b[0m\n",
+      "\u001b[0m-------------------------------------------------------\u001b[0m\n",
+      "\u001b[0m\u001b[0m\n",
+      "\u001b[0mC++ compiler         : /opt/anaconda3/envs/bmtk/bin/arm64-apple-darwin20.0.0-clang++\u001b[0m\n",
+      "\u001b[0mBuild static libs    : OFF\u001b[0m\n",
+      "\u001b[0mC++ compiler flags   : -ftree-vectorize -fPIC -fstack-protector-strong -O2 -pipe -stdlib=libc++ -fvisibility-inlines-hidden -fmessage-length=0 -isystem /opt/anaconda3/envs/bmtk/include\u001b[0m\n",
+      "\u001b[0mNEST compiler flags  : -ftree-vectorize -fPIC -fstack-protector-strong -O2 -pipe -stdlib=libc++ -fvisibility-inlines-hidden -fmessage-length=0 -isystem /opt/anaconda3/envs/bmtk/include -fdebug-prefix-map=/Users/runner/miniforge3/conda-bld/nest-simulator_1716545272563/work=/usr/local/src/conda/nest-simulator-3.7 -fdebug-prefix-map=/opt/anaconda3/envs/bmtk=/usr/local/src/conda-prefix -std=c++17 -Wall -Xclang -fopenmp -O2\u001b[0m\n",
+      "\u001b[0mNEST include dirs    :  -I/opt/anaconda3/envs/bmtk/include/nest -I/opt/anaconda3/envs/bmtk/include -I/opt/anaconda3/envs/bmtk/include -I/opt/anaconda3/envs/bmtk/include -I/opt/anaconda3/envs/bmtk/include\u001b[0m\n",
+      "\u001b[0mNEST libraries flags : -L/opt/anaconda3/envs/bmtk/lib/nest -lnest -lsli /opt/anaconda3/envs/bmtk/lib/libltdl.dylib /opt/anaconda3/envs/bmtk/lib/libreadline.dylib /opt/anaconda3/envs/bmtk/lib/libncurses.dylib /opt/anaconda3/envs/bmtk/lib/libgsl.dylib /opt/anaconda3/envs/bmtk/lib/libgslcblas.dylib    /opt/anaconda3/envs/bmtk/lib/libomp.dylib\u001b[0m\n",
+      "\u001b[0m\u001b[0m\n",
+      "\u001b[0m-------------------------------------------------------\u001b[0m\n",
+      "\u001b[0m\u001b[0m\n",
+      "\u001b[0mYou can now build and install 'nestml_izh_module' using\u001b[0m\n",
+      "\u001b[0m  make\u001b[0m\n",
+      "\u001b[0m  make install\u001b[0m\n",
+      "\u001b[0m\u001b[0m\n",
+      "\u001b[0mThe library file libnestml_izh_module.so will be installed to\u001b[0m\n",
+      "\u001b[0m  /var/folders/pr/_10c7kr546b1t7cf9z259z_40000gp/T/nestml_target_4yafvsuk\u001b[0m\n",
+      "\u001b[0mThe module can be loaded into NEST using\u001b[0m\n",
+      "\u001b[0m  (nestml_izh_module) Install       (in SLI)\u001b[0m\n",
+      "\u001b[0m  nest.Install(nestml_izh_module)   (in PyNEST)\u001b[0m\n",
+      "\u001b[0m\u001b[0m\n",
+      "\u001b[33mCMake Warning (dev) in CMakeLists.txt:\n",
+      "  No cmake_minimum_required command is present.  A line of code such as\n",
+      "\n",
+      "    cmake_minimum_required(VERSION 3.29)\n",
+      "\n",
+      "  should be added at the top of the file.  The version specified may be lower\n",
+      "  if you wish to support older CMake versions for this project.  For more\n",
+      "  information run \"cmake --help-policy CMP0000\".\n",
+      "This warning is for project developers.  Use -Wno-dev to suppress it.\n",
+      "\u001b[0m\n",
+      "-- Configuring done (1.3s)\n",
+      "-- Generating done (0.0s)\n",
+      "-- Build files have been written to: /Users/beatriz.herrera/Documents/GitHub/bmtk/docs/tutorial/02_opt_nest_custom_models/components/nestml\n",
+      "[ 66%] \u001b[32mBuilding CXX object CMakeFiles/nestml_izh_module_module.dir/nestml_izh_module.o\u001b[0m\n",
+      "[ 66%] \u001b[32mBuilding CXX object CMakeFiles/nestml_izh_module_module.dir/custom_izh_neuron_nestml.o\u001b[0m\n",
+      "/Users/beatriz.herrera/Documents/GitHub/bmtk/docs/tutorial/02_opt_nest_custom_models/components/nestml/custom_izh_neuron_nestml.cpp:186:16: warning: unused variable '__timestep' [-Wunused-variable]\n",
+      "  186 |   const double __timestep = nest::Time::get_resolution().get_ms();  // do not remove, this is necessary for the timestep() function\n",
+      "      |                ^~~~~~~~~~\n",
+      "/Users/beatriz.herrera/Documents/GitHub/bmtk/docs/tutorial/02_opt_nest_custom_models/components/nestml/custom_izh_neuron_nestml.cpp:262:16: warning: unused variable '__timestep' [-Wunused-variable]\n",
+      "  262 |   const double __timestep = nest::Time::get_resolution().get_ms();  // do not remove, this is necessary for the timestep() function\n",
+      "      |                ^~~~~~~~~~\n",
+      "/Users/beatriz.herrera/Documents/GitHub/bmtk/docs/tutorial/02_opt_nest_custom_models/components/nestml/custom_izh_neuron_nestml.cpp:315:10: warning: unused variable 'get_t' [-Wunused-variable]\n",
+      "  315 |     auto get_t = [origin, lag](){ return nest::Time( nest::Time::step( origin.get_steps() + lag + 1) ).get_ms(); };\n",
+      "      |          ^~~~~\n",
+      "/Users/beatriz.herrera/Documents/GitHub/bmtk/docs/tutorial/02_opt_nest_custom_models/components/nestml/custom_izh_neuron_nestml.cpp:309:16: warning: unused variable '__timestep' [-Wunused-variable]\n",
+      "  309 |   const double __timestep = nest::Time::get_resolution().get_ms();  // do not remove, this is necessary for the timestep() function\n",
+      "      |                ^~~~~~~~~~\n",
+      "/Users/beatriz.herrera/Documents/GitHub/bmtk/docs/tutorial/02_opt_nest_custom_models/components/nestml/custom_izh_neuron_nestml.cpp:478:16: warning: unused variable '__timestep' [-Wunused-variable]\n",
+      "  478 |   const double __timestep = nest::Time::get_resolution().get_ms();  // do not remove, this is necessary for the timestep() function  \n",
+      "      |                ^~~~~~~~~~\n",
+      "5 warnings generated.\n",
+      "[100%] \u001b[32m\u001b[1mLinking CXX shared module nestml_izh_module.so\u001b[0m\n",
+      "[100%] Built target nestml_izh_module_module\n",
+      "[100%] Built target nestml_izh_module_module\n",
+      "\u001b[36mInstall the project...\u001b[0m\n",
+      "-- Install configuration: \"\"\n",
+      "-- Installing: /var/folders/pr/_10c7kr546b1t7cf9z259z_40000gp/T/nestml_target_4yafvsuk/nestml_izh_module.so\n",
+      "nestml_izh_module custom_izh_neuron_nestml\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pynestml.codegeneration.nest_code_generator_utils import NESTCodeGeneratorUtils\n",
+    "\n",
+    "\n",
+    "module_name, neuron_model_name = NESTCodeGeneratorUtils.generate_code_for(\n",
+    "    nestml_izh_model,\n",
+    "    module_name='nestml_izh_module',\n",
+    "    target_path='components/nestml'\n",
+    ")\n",
+    "\n",
+    "print(module_name, neuron_model_name)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8079de05-1e0f-4849-99df-3c69b68762cf",
+   "metadata": {},
+   "source": [
+    "If successful, you should see it call `cmake` and `make` commands to compile the model in nest and create a library *.so (along with source code) in the **components/nestml/** directory.\n",
+    "\n",
+    "**Note** that although in this case we passed in the model as a string into the `generate_code_for` function, you also have an option of saving the model to a *.nestml textfile and passing it in. In said case it would just be the following\n",
+    "\n",
+    "```python\n",
+    "module_name, neuron_model_name = NESTCodeGeneratorUtils.generate_code_for(\n",
+    "    'nestml_izh_model.nestml',\n",
+    "    module_name='nestml_izh_module',\n",
+    "    target_path='components/nestml'\n",
+    ")\n",
+    "```\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f40741c-5b99-4b33-83c3-d20ab79e35a2",
+   "metadata": {},
+   "source": [
+    "### 3. Using the NESTML model in PointNet"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "29ba5b9b-c083-4cf2-9d24-e185372cd419",
+   "metadata": {},
+   "source": [
+    "Once we have compiled our module (eg .so or .a file) in the `target_path` folder we can go ahead and use the models like we would with a built-in nest models. In this case we have a network pre-built (*build_network.nestml.py*) in the network_nestml/ folder. First thing we must do is make sure that our **model_template** attributes point to the correct name of the models and have corresponding parameter files.\n",
+    "\n",
+    "Note that by default NESTML append the suffix \"_nestml\" to the name of our model. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "ae33f42b-d1a3-4f63-8c93-540e5fc1f568",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>node_type_id</th>\n",
+       "      <th>ei</th>\n",
+       "      <th>model_type</th>\n",
+       "      <th>dynamics_params</th>\n",
+       "      <th>pop_name</th>\n",
+       "      <th>model_template</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>100</td>\n",
+       "      <td>e</td>\n",
+       "      <td>point_neuron</td>\n",
+       "      <td>custom_izh_neuron_exc.json</td>\n",
+       "      <td>LIF_exc</td>\n",
+       "      <td>nestml:custom_izh_neuron_nestml</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>101</td>\n",
+       "      <td>i</td>\n",
+       "      <td>point_neuron</td>\n",
+       "      <td>custom_izh_neuron_inh.json</td>\n",
+       "      <td>LIF_inh</td>\n",
+       "      <td>nestml:custom_izh_neuron_nestml</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   node_type_id ei    model_type             dynamics_params pop_name  \\\n",
+       "0           100  e  point_neuron  custom_izh_neuron_exc.json  LIF_exc   \n",
+       "1           101  i  point_neuron  custom_izh_neuron_inh.json  LIF_inh   \n",
+       "\n",
+       "                    model_template  \n",
+       "0  nestml:custom_izh_neuron_nestml  \n",
+       "1  nestml:custom_izh_neuron_nestml  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "pd.read_csv('network_nestml/izh_network_node_types.csv', sep=' ')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "17fede69-e4f3-4cd6-8732-c88a71758116",
+   "metadata": {},
+   "source": [
+    "We must also let PointNet know where the corresponding *.so file is containing the compiled model. In our SONATA configuration file we add the an \"nest_modules\" entry to the **\"components\"**\n",
+    "\n",
+    "```json\n",
+    "  \"components\": {\n",
+    "      \"point_neuron_models_dir\": \"$MODELS_DIR/cell_models\",\n",
+    "\t  \"synaptic_models_dir\": \"$MODELS_DIR/synaptic_models\",\n",
+    "      \"nest_modules\": \"$MODELS_DIR/nestml/nestml_izh_module.so\"\n",
+    "  },\n",
+    "```\n",
+    "\n",
+    "If you have multiple NEST and/or NESTML modules you can either specify \"nest_modules\" as a directory\n",
+    "\n",
+    "```json\n",
+    "    \"nest_modules\": \"/path/to/modules/dir/\"\n",
+    "```\n",
+    "\n",
+    "And BMTK will try to find and load all library files in the folder. Or alternatively you can pass in a list of library binaries:\n",
+    "\n",
+    "```json\n",
+    "    \"nest_modules\": [\"/first/path/to/module1.so\", \"/second/path/to/module2.so\", ...]\n",
+    "```\n",
+    "\n",
+    "And run the simulation as normal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "2479269e-ec10-4b39-8e0b-f14ed214d5ba",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,097 [INFO] Created log file\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Created log file\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,129 [INFO] Batch processing nodes for izh_network/0.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Batch processing nodes for izh_network/0.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,143 [INFO] Batch processing nodes for virt_exc/0.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Batch processing nodes for virt_exc/0.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,319 [INFO] Setting up output directory\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Setting up output directory\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,320 [INFO] Building cells.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Building cells.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,322 [INFO] Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,325 [INFO] Network created.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Network created.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,326 [INFO] Build virtual cell stimulations for thalamus_spikes\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Build virtual cell stimulations for thalamus_spikes\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,335 [INFO] Starting Simulation\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Starting Simulation\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,875 [INFO] Simulation finished, finalizing results.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Simulation finished, finalizing results.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,893 [INFO] Done.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import pointnet\n",
+    "\n",
+    "configure = pointnet.Config.from_json('config.nestml.json')\n",
+    "configure.build_env()\n",
+    "\n",
+    "network = pointnet.PointNetwork.from_config(configure)\n",
+    "sim = pointnet.PointSimulator.from_config(configure, network)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5232f217-7b0c-4ebd-b2d4-4d93e320f85a",
+   "metadata": {},
+   "source": [
+    "## 3. Example: Overriding the creation of cell models <a class=\"anchor\" id=\"example-cell-creation\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "27bfbb77-ec4e-4f9d-bb59-fd5b6889df5c",
+   "metadata": {},
+   "source": [
+    "Before BMTK starts a simulation, it will go ahead and call on NEST to create neurons for all cells using attributes like **model_type**, **model_template**, and **dynamics_params**. BMTK will initialize the creation of these cells for you and for the vast majority of simulations the user does not have to do anythin special other than specify the models and parameters in the SONATA file. \n",
+    "\n",
+    "However, on rare occassions you may find yourself requiring more grainular control of how PointNet initializes and creates the neurons before the simulation begins. For example, you may want to find or alter cell parameters at the start of a simulation. Some models may require a non-standard way of initializing them. Or you may need to attach Parrot or Relay neurons to a subset of your cells. \n",
+    "\n",
+    "When BMTK initializes cells for simualation it will normally call the function `loadNESTModel` function in [`bmtk.simulation.pointnet.default_setters.cell_models`](). This is a simple function that calls that NEST `Create` function to initialize a batch of neurons that share the same model-name and properites.\n",
+    "\n",
+    "```python\n",
+    "def loadNESTModel(cell, template_name, dynamics_params):\n",
+    "    return nest.Create(template_name, cell.n_nodes, dynamics_params)\n",
+    "```\n",
+    "\n",
+    "If you need to override this function, BMTK provides a special [python decorator](https://peps.python.org/pep-0318/) called `@cell_model`. To use the decorator you can add the following to your *run_pointnet.py* (or in a separate python file imported before you run the simulation) as such\n",
+    "\n",
+    "```python\n",
+    "from bmtk.simulator.pointnet import cell_model\n",
+    "\n",
+    "@cell_model(directive='nest', model_type='point_neuron')\n",
+    "def loadNESTModel(cell, template_name, dynamics_params):\n",
+    "    nest_nodes = ... # create and initialize cells\n",
+    "    return nest_nodes\n",
+    "```\n",
+    "To explain what is happening in this function\n",
+    "* The `@cell_model` decorator is placed right before our user defined function in order to tell bmtk that this is a special function that will be used in the creation of \"nest\" cells\n",
+    "  * The parameters tell BMTK that this function will be called for every group of cells with **model_template** of format `nest:...` and have **model_type** of point_neuron\n",
+    "* There are three parameters the BMTK will pass into this function\n",
+    "  * `cell` is copy of cell object and can be used to access all of an cell(s) properities (can be accessed like a dictionary)\n",
+    "  * `template` will be the name of the model (eg. izhikevich, glif_psc, hh_cond, etc)\n",
+    "  * `dynamics_params` will be a dictionary containing the contents of the json or hdf5 **dynamics_params**.\n",
+    "* Inside the function we should create our cell(s), usually using the NEST [Create](https://nest-simulator.readthedocs.io/en/v3.3/ref_material/pynest_apis.html#module-nest.lib.hl_api_nodes) function.\n",
+    "* You must return the results of the Create function, usually of list of ids, back to bmtk.\n",
+    "\n",
+    "During the initialization process BMTK will call this custom function. It tries to do so in batches, often initializing cells with the same models and signitures in batches.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f1e646fd-c529-407c-a8c6-bc8e533641a7",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\">\n",
+    "⚠️ WARNING: Overwriting loadNESTModel can be dangerous\n",
+    "</div>\n",
+    "\n",
+    "If you're network has many different models then overwritting `loadNESTModel` to deal with only a subset of the cells can have unintended side-effects. However bmtk lets you create specific load methods for different models\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d12fcb57-8c57-4fb8-86f1-6c8a431e44c9",
+   "metadata": {},
+   "source": [
+    "#### Overriding Izhikeich model\n",
+    "\n",
+    "For example, let's say we want to modify and adjust parameters on-the-fly (eg. we don't want to have to rebuild the network every time) but only for the `izhikevich` models. Specially we want to add jitter to the \"d\" parameter which won't exists for other model types. To do so we add a function `loadIzhikevich` and in the `@cell_model` parameters make sure that it only applies to `nest:Izhikevich` models, so that all other model types gets created in the default manner.\n",
+    "\n",
+    "We add the following function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "605848aa-1c59-4929-a68f-73641e1dfec9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.simulator.pointnet import cell_model\n",
+    "from bmtk.simulator.pointnet.io_tools import io\n",
+    "import nest\n",
+    "\n",
+    "@cell_model(directive='nest:izhikevich', model_type='point_neuron')\n",
+    "def loadIzhikevich(cell, template_name, dynamics_params):\n",
+    "    nodes = nest.Create(template_name, cell.n_nodes, dynamics_params)\n",
+    "    \n",
+    "    d_orig = nest.GetStatus(nodes, 'd')\n",
+    "    jitter = cell['jitter']\n",
+    "    d_noisy = d_orig*jitter\n",
+    "    nest.SetStatus(nodes, {'d': d_noisy})\n",
+    "    io.log_info(f'Modifying the parameters of {cell.n_nodes} {template_name} neurons.')\n",
+    "    return nodes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2238dbbe-25fa-4143-808c-2b29c838f5a4",
+   "metadata": {},
+   "source": [
+    "* First we create the cells as normal using the `Create` method. Then we use the `nest.GetStatus` and `nest.SetStatus` to update the \"d\" parameters for each cell. It is sometimes possible to alter the way `Create()` method is called, but in general it is best to use [`GetStatus`](https://nest-simulator.readthedocs.io/en/v3.3/ref_material/pynest_apis.html#module-nest.lib.hl_api_info) to alter parameters\n",
+    "* The network has a jitter parameter which we can multiple by the default \"d\" value and is stored in the hdf5 file. We call `cell[jitter]` to get this value as an array, and can use `cell` to fetch other cell attributes.\n",
+    "* As an optional measure we add some logging. This is a good sanity check to make sure our funnction is being called as it should.\n",
+    "\n",
+    "After we added our custom function we can load PointNet in the normal manner:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "0acdb9d5-cd8a-441b-a4aa-5da5f879cdb0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,907 [INFO] Created log file\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Created log file\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,930 [INFO] Batch processing nodes for net/0.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Batch processing nodes for net/0.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,938 [INFO] Batch processing nodes for virt_exc/0.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Batch processing nodes for virt_exc/0.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,958 [INFO] Setting up output directory\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Setting up output directory\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,959 [INFO] Building cells.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Building cells.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,960 [INFO] Modifying the parameters of 10 izhikevich neurons.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Modifying the parameters of 10 izhikevich neurons.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,961 [INFO] Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Building recurrent connections\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,963 [INFO] Network created.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Network created.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,963 [INFO] Build virtual cell stimulations for thalamus_spikes\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Build virtual cell stimulations for thalamus_spikes\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:51,971 [INFO] Starting Simulation\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Starting Simulation\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:52,297 [INFO] Simulation finished, finalizing results.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Simulation finished, finalizing results.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 15:11:52,316 [INFO] Done.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:Done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import pointnet\n",
+    "\n",
+    "configure = pointnet.Config.from_json('config.iz_updated.json')\n",
+    "configure.build_env()\n",
+    "\n",
+    "network = pointnet.PointNetwork.from_config(configure)\n",
+    "sim = pointnet.PointSimulator.from_config(configure, network)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d1fb1efd-fe46-4b56-890b-c691db36aeab",
+   "metadata": {},
+   "source": [
+    "## 4. Example: Switching between synaptic (and electrical) models <a class=\"anchor\" id=\"example-switching-models\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09f7ecab-5329-4d4a-b43e-282529e70206",
+   "metadata": {},
+   "source": [
+    "Similar to cell models, PointNet also allows modelers to switch different types of synapses between simulations. Like cells, SONATA groups synaptic and electrical connections (eg edges) by type and parameters, and you can have a network where different connections have different models. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e660528c-e393-4d02-b22f-a3d24bf1a54a",
+   "metadata": {},
+   "source": [
+    "And like with the cells, the type of edge models in a network are controlled by the SONATA **model_template** and **dynamics_params** attributes. In the previous examples we have been using the default `static_synapse`, but the NEST simulator has a variety of different [built-in synaptic model](https://nest-simulator.readthedocs.io/en/v3.3/models/index.html#synapse) that can be readily taken advantage of in BMTK. If we wanted to replace it with one of the sypases that support [short-term plasticity](https://nest-simulator.readthedocs.io/en/v3.3/models/tsodyks2_synapse.html) we would modify the build network `add_edges` call to:\n",
+    "```python\n",
+    "\n",
+    "net.add_edges(\n",
+    "    ...\n",
+    "    model_template='tsodysk2_synapse',\n",
+    "    dynamics_params='tsodysk2.syn_exc.json'\n",
+    "    ...\n",
+    ")\n",
+    "```\n",
+    "* unlike with cell, the SONATA format does not require a `nest:` schema prefix for the **model_template**\n",
+    "* *tsodysk2.syn_exc.json* is a .json file that is saved in the \"synaptic_models_dir\", and each synapse model will have different parameter that will need adjusted by the modeler."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f7f919c-9d15-4927-9751-5fa0b50198f2",
+   "metadata": {},
+   "source": [
+    "Or if the modeler is unable to rebuild the network from scratch, another option for switching between model is to open the *network/\\*edge_types.csv* file in a text editor and switch the **model_template** and **dynamics_params** values for the appropiate rows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "3862d4e2-e51c-4a0e-95e8-a7cf3377c754",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>node_type_id</th>\n",
+       "      <th>model_template</th>\n",
+       "      <th>model_type</th>\n",
+       "      <th>dynamics_params</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>100</td>\n",
+       "      <td>nest:izhikevich</td>\n",
+       "      <td>point_neuron</td>\n",
+       "      <td>custom_model_params.izhikevich.json</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   node_type_id   model_template    model_type  \\\n",
+       "0           100  nest:izhikevich  point_neuron   \n",
+       "\n",
+       "                       dynamics_params  \n",
+       "0  custom_model_params.izhikevich.json  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "pd.read_csv('network_stp_syns/net_node_types.csv', sep=' ')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52deba3e-fe57-41bc-9840-b37c53076182",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "bmtk",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/tutorial/02_opt_nest_custom_models/build_network.built_in.py b/docs/tutorial/02_opt_nest_custom_models/build_network.built_in.py
new file mode 100644
index 00000000..2d475e11
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/build_network.built_in.py
@@ -0,0 +1,48 @@
+import numpy as np
+from bmtk.builder import NetworkBuilder
+
+# nest_model = 'nest:iaf_psc_delta'
+nest_model = 'nest:izhikevich'
+# nest_model = 'nest:aeif_cond_alpha'
+# nest_model = 'nest:glif_psc'
+dynamics_params = 'custom_model_params.default.json'
+
+
+net = NetworkBuilder('net')
+net.add_nodes(
+    N=100,
+    model_type='point_neuron',
+    model_template=nest_model,
+    dynamics_params=dynamics_params
+)
+
+net.add_edges(
+    source=net.nodes(), target=net.nodes(),
+    connection_rule=1,
+    syn_weight=2.0,
+    delay=1.5,
+    dynamics_params='ExcToInh.json',
+    model_template='static_synapse'
+)
+
+net.build()
+net.save(output_dir='network_built_in')
+
+
+virt_exc = NetworkBuilder('virt_exc')
+virt_exc.add_nodes(
+    N=10,
+    model_type='virtual'
+)
+
+virt_exc.add_edges(
+    target=net.nodes(),
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    syn_weight=2.0,
+    delay=1.0,
+    dynamics_params='ExcToInh.json',
+    model_template='static_synapse'
+)
+
+virt_exc.build()
+virt_exc.save(output_dir='network_built_in')
\ No newline at end of file
diff --git a/docs/tutorial/02_opt_nest_custom_models/build_network.iz_updated.py b/docs/tutorial/02_opt_nest_custom_models/build_network.iz_updated.py
new file mode 100644
index 00000000..22e158f9
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/build_network.iz_updated.py
@@ -0,0 +1,46 @@
+import numpy as np
+from bmtk.builder import NetworkBuilder
+
+nest_model = 'nest:izhikevich'
+dynamics_params = 'custom_model_params.izhikevich.json'
+
+
+net = NetworkBuilder('net')
+net.add_nodes(
+    N=10,
+    model_type='point_neuron',
+    model_template=nest_model,
+    dynamics_params=dynamics_params,
+    jitter=np.random.uniform(0.5, 1.5, 10)
+)
+
+net.add_edges(
+    source=net.nodes(), target=net.nodes(),
+    connection_rule=1,
+    syn_weight=2.0,
+    delay=1.5,
+    dynamics_params='ExcToInh.json',
+    model_template='static_synapse'
+)
+
+net.build()
+net.save(output_dir='network_iz_updated')
+
+
+virt_exc = NetworkBuilder('virt_exc')
+virt_exc.add_nodes(
+    N=10,
+    model_type='virtual'
+)
+
+virt_exc.add_edges(
+    target=net.nodes(),
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    syn_weight=2.0,
+    delay=1.0,
+    dynamics_params='ExcToInh.json',
+    model_template='static_synapse'
+)
+
+virt_exc.build()
+virt_exc.save(output_dir='network_iz_updated')
\ No newline at end of file
diff --git a/docs/tutorial/02_opt_nest_custom_models/build_network.nestml.py b/docs/tutorial/02_opt_nest_custom_models/build_network.nestml.py
new file mode 100644
index 00000000..05a4e06f
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/build_network.nestml.py
@@ -0,0 +1,106 @@
+import numpy as np
+
+from bmtk.builder import NetworkBuilder
+from bmtk.builder.auxi.node_params import positions_columinar
+
+
+lif_models = {
+    'LIF_exc': {
+        'N': 15,
+        'ei': 'e',
+        'pop_name': 'LIF_exc',
+        'model_type': 'point_neuron',
+        'model_template': 'nestml:custom_izh_neuron_nestml',
+        'dynamics_params': 'custom_izh_neuron_exc.json'
+    },
+    'LIF_inh': {
+        'N': 5,
+        'ei': 'i',
+        'pop_name': 'LIF_inh',
+        'model_type': 'point_neuron',
+        'model_template': 'nestml:custom_izh_neuron_nestml',
+        'dynamics_params': 'custom_izh_neuron_inh.json'
+    }
+}
+
+input_network_model = {
+    'input_network': {
+        'N': 10,
+        'ei': 'e',
+        'pop_name': 'input_network',
+        'model_type': 'virtual'
+    }
+}
+
+
+def random_connections(source, target, p=0.1):
+    sid = source['node_id']  # Get source id
+    tid = target['node_id']  # Get target id
+
+    # Avoid self-connections.
+    if sid == tid:
+        return None
+
+    return np.random.binomial(1, p)  # nsyns
+
+
+def build_cortex_network():
+    cortex = NetworkBuilder('izh_network')
+    for model in lif_models:
+        params = lif_models[model].copy()
+        positions = positions_columinar(N=lif_models[model]['N'], center=[0, 10.0, 0], max_radius=50.0, height=200.0)
+        cortex.add_nodes(
+            x=positions[:, 0],
+            y=positions[:, 1],
+            z=positions[:, 2],
+            **params
+        )
+
+    cortex.add_edges(
+        source={'ei': 'e'},
+        connection_rule=random_connections,
+        connection_params={'p': 0.1},
+        syn_weight=2.0,
+        delay=1.5,
+        dynamics_params='ExcToInh.json',
+        model_template='static_synapse'
+    )
+
+    cortex.add_edges(
+        source={'ei': 'i'},
+        connection_rule=random_connections,
+        connection_params={'p': 0.1},
+        syn_weight=-1.5,
+        delay=1.5,
+        dynamics_params='InhToExc.json',
+        model_template='static_synapse'
+    )
+
+    cortex.build()
+    cortex.save(output_dir='network_nestml')
+
+    return cortex
+
+
+def build_thalamus_network(cortex):
+    thalamus = NetworkBuilder('virt_exc')
+    thalamus.add_nodes(**input_network_model['input_network'])
+
+    thalamus.add_edges(
+        target=cortex.nodes(),
+        connection_rule=random_connections,
+        connection_params={'p': 0.8},
+        syn_weight=8.2,
+        delay=1.5,
+        dynamics_params='ExcToExc.json',
+        model_template='static_synapse'
+    )
+    thalamus.build()
+    thalamus.save(output_dir='network_nestml')
+
+    return thalamus
+
+
+if __name__ == '__main__':
+    cortex_net = build_cortex_network()
+    thalamus_net = build_thalamus_network(cortex_net)
diff --git a/docs/tutorial/02_opt_nest_custom_models/build_network.stp_syns.py b/docs/tutorial/02_opt_nest_custom_models/build_network.stp_syns.py
new file mode 100644
index 00000000..f0ea01c3
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/build_network.stp_syns.py
@@ -0,0 +1,49 @@
+import numpy as np
+from bmtk.builder import NetworkBuilder
+
+nest_model = 'nest:izhikevich'
+dynamics_params = 'custom_model_params.izhikevich.json'
+
+syn_model = 'tsodyks2_synapse'
+syn_dynamic_params = 'tsodyks2.syn_exc.json'
+
+
+net = NetworkBuilder('net')
+net.add_nodes(
+    N=10,
+    model_type='point_neuron',
+    model_template=nest_model,
+    dynamics_params=dynamics_params,
+    jitter=np.random.uniform(0.5, 1.5, 10)
+)
+
+net.add_edges(
+    source=net.nodes(), target=net.nodes(),
+    connection_rule=1,
+    syn_weight=2.0,
+    delay=1.5,
+    dynamics_params=syn_dynamic_params,
+    model_template=syn_model
+)
+
+net.build()
+net.save(output_dir='network_stp_syns')
+
+
+virt_exc = NetworkBuilder('virt_exc')
+virt_exc.add_nodes(
+    N=10,
+    model_type='virtual'
+)
+
+virt_exc.add_edges(
+    target=net.nodes(),
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    syn_weight=2.0,
+    delay=1.0,
+    dynamics_params='ExcToInh.json',
+    model_template='static_synapse'
+)
+
+virt_exc.build()
+virt_exc.save(output_dir='network_stp_syns')
\ No newline at end of file
diff --git a/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_izh_neuron_exc.json b/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_izh_neuron_exc.json
new file mode 100644
index 00000000..0e0dcd23
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_izh_neuron_exc.json
@@ -0,0 +1,3 @@
+{
+
+}
\ No newline at end of file
diff --git a/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_izh_neuron_inh.json b/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_izh_neuron_inh.json
new file mode 100644
index 00000000..0e0dcd23
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_izh_neuron_inh.json
@@ -0,0 +1,3 @@
+{
+
+}
\ No newline at end of file
diff --git a/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_model_params.default.json b/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_model_params.default.json
new file mode 100644
index 00000000..0db3279e
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_model_params.default.json
@@ -0,0 +1,3 @@
+{
+
+}
diff --git a/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_model_params.izhikevich.json b/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_model_params.izhikevich.json
new file mode 100644
index 00000000..3e642608
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/components/cell_models/custom_model_params.izhikevich.json
@@ -0,0 +1,6 @@
+{
+  "a": 0.02,
+  "b": 0.2,
+  "c": -65.0,
+  "d": 8.0
+}
diff --git a/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/ExcToExc.json b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/ExcToExc.json
new file mode 100644
index 00000000..2c63c085
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/ExcToExc.json
@@ -0,0 +1,2 @@
+{
+}
diff --git a/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/ExcToInh.json b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/ExcToInh.json
new file mode 100644
index 00000000..2c63c085
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/ExcToInh.json
@@ -0,0 +1,2 @@
+{
+}
diff --git a/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/InhToExc.json b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/InhToExc.json
new file mode 100644
index 00000000..bfd870e4
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/InhToExc.json
@@ -0,0 +1,3 @@
+{
+}
+
diff --git a/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/InhToInh.json b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/InhToInh.json
new file mode 100644
index 00000000..bfd870e4
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/InhToInh.json
@@ -0,0 +1,3 @@
+{
+}
+
diff --git a/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/tsodyks2.syn_exc.json b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/tsodyks2.syn_exc.json
new file mode 100644
index 00000000..30328c59
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/components/synaptic_models/tsodyks2.syn_exc.json
@@ -0,0 +1,5 @@
+{
+    "U": 0.5,
+    "tau_rec": 800.0,
+    "tau_fac": 0.0
+}
diff --git a/docs/tutorial/02_opt_nest_custom_models/config.built_in.json b/docs/tutorial/02_opt_nest_custom_models/config.built_in.json
new file mode 100644
index 00000000..83014f10
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/config.built_in.json
@@ -0,0 +1,67 @@
+{
+  "manifest": {
+	"$BASE_DIR": "${configdir}",
+    "$NETWORK_DIR": "$BASE_DIR/network_built_in",
+    "$MODELS_DIR": "$BASE_DIR/components",
+    "$OUTPUT_DIR": "$BASE_DIR/output_built_in",
+    "$INPUT_DIR": "$BASE_DIR/inputs"
+  },
+
+  "run": {
+    "tstop": 3000.0,
+    "dt": 0.001,
+    "block_run": false,
+    "block_size": 1000.0
+  },
+
+  "inputs": {
+    "thalamus_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$INPUT_DIR/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+
+  "reports": {
+  },
+
+  "output": {
+	"log_file": "log.txt",
+	"spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv",
+	  "output_dir": "$OUTPUT_DIR",
+    "overwrite_output_dir": true,
+    "quiet_simulator": true
+  },
+
+  "target_simulator":"NEST",
+
+  "components": {
+    "point_neuron_models_dir": "$MODELS_DIR/cell_models",
+	"synaptic_models_dir": "$MODELS_DIR/synaptic_models"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/net_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/net_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edges_file": "$NETWORK_DIR/net_net_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/net_net_edge_types.csv"
+      },
+      {
+        "edges_file": "$NETWORK_DIR/virt_exc_net_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/virt_exc_net_edge_types.csv"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/02_opt_nest_custom_models/config.iz_updated.json b/docs/tutorial/02_opt_nest_custom_models/config.iz_updated.json
new file mode 100644
index 00000000..6e5da994
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/config.iz_updated.json
@@ -0,0 +1,67 @@
+{
+  "manifest": {
+	"$BASE_DIR": "${configdir}",
+    "$NETWORK_DIR": "$BASE_DIR/network_iz_updated",
+    "$MODELS_DIR": "$BASE_DIR/components",
+    "$OUTPUT_DIR": "$BASE_DIR/output_iz_updated",
+    "$INPUT_DIR": "$BASE_DIR/inputs"
+  },
+
+  "run": {
+    "tstop": 3000.0,
+    "dt": 0.001,
+    "block_run": false,
+    "block_size": 1000.0
+  },
+
+  "inputs": {
+    "thalamus_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$INPUT_DIR/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+
+  "reports": {
+  },
+
+  "output": {
+	"log_file": "log.txt",
+	"spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv",
+	  "output_dir": "$OUTPUT_DIR",
+    "overwrite_output_dir": true,
+    "quiet_simulator": true
+  },
+
+  "target_simulator":"NEST",
+
+  "components": {
+    "point_neuron_models_dir": "$MODELS_DIR/cell_models",
+	"synaptic_models_dir": "$MODELS_DIR/synaptic_models"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/net_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/net_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edges_file": "$NETWORK_DIR/net_net_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/net_net_edge_types.csv"
+      },
+      {
+        "edges_file": "$NETWORK_DIR/virt_exc_net_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/virt_exc_net_edge_types.csv"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/02_opt_nest_custom_models/config.nestml.json b/docs/tutorial/02_opt_nest_custom_models/config.nestml.json
new file mode 100644
index 00000000..0e78eb0e
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/config.nestml.json
@@ -0,0 +1,67 @@
+{
+  "manifest": {
+	  "$BASE_DIR": "${configdir}",
+    "$NETWORK_DIR": "$BASE_DIR/network_nestml",
+    "$MODELS_DIR": "$BASE_DIR/components",
+    "$OUTPUT_DIR": "$BASE_DIR/output_nestml",
+    "$INPUT_DIR": "$BASE_DIR/inputs"
+  },
+
+  "run": {
+    "tstop": 3000.0,
+    "dt": 0.01,
+    "block_run": false,
+    "block_size": 1000.0
+  },
+
+  "inputs": {
+    "thalamus_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$INPUT_DIR/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+
+  "reports": {
+  },
+
+  "output": {
+	  "log_file": "log.txt",
+	  "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv",
+	  "output_dir": "$OUTPUT_DIR",
+    "overwrite_output_dir": true,
+    "quiet_simulator": true
+  },
+
+  "target_simulator":"NEST",
+  "components": {
+    "point_neuron_models_dir": "$MODELS_DIR/cell_models",
+	  "synaptic_models_dir": "$MODELS_DIR/synaptic_models",
+    "nest_modules": "components/nestml/"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/izh_network_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/izh_network_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edges_file": "$NETWORK_DIR/izh_network_izh_network_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/izh_network_izh_network_edge_types.csv"
+      },
+      {
+        "edges_file": "$NETWORK_DIR/virt_exc_izh_network_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/virt_exc_izh_network_edge_types.csv"
+      }
+    ]
+  }
+}
diff --git a/docs/tutorial/02_opt_nest_custom_models/config.stp_syns.json b/docs/tutorial/02_opt_nest_custom_models/config.stp_syns.json
new file mode 100644
index 00000000..97441451
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/config.stp_syns.json
@@ -0,0 +1,67 @@
+{
+  "manifest": {
+	"$BASE_DIR": "${configdir}",
+    "$NETWORK_DIR": "$BASE_DIR/network_stp_syns",
+    "$MODELS_DIR": "$BASE_DIR/components",
+    "$OUTPUT_DIR": "$BASE_DIR/output_stp_syns",
+    "$INPUT_DIR": "$BASE_DIR/inputs"
+  },
+
+  "run": {
+    "tstop": 3000.0,
+    "dt": 0.001,
+    "block_run": false,
+    "block_size": 1000.0
+  },
+
+  "inputs": {
+    "thalamus_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$INPUT_DIR/virt_exc_spikes.h5",
+      "node_set": "virt_exc"
+    }
+  },
+
+  "reports": {
+  },
+
+  "output": {
+	"log_file": "log.txt",
+	"spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv",
+	  "output_dir": "$OUTPUT_DIR",
+    "overwrite_output_dir": true,
+    "quiet_simulator": true
+  },
+
+  "target_simulator":"NEST",
+
+  "components": {
+    "point_neuron_models_dir": "$MODELS_DIR/cell_models",
+	"synaptic_models_dir": "$MODELS_DIR/synaptic_models"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/net_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/net_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/virt_exc_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/virt_exc_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edges_file": "$NETWORK_DIR/net_net_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/net_net_edge_types.csv"
+      },
+      {
+        "edges_file": "$NETWORK_DIR/virt_exc_net_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/virt_exc_net_edge_types.csv"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/02_opt_nest_custom_models/custom_izhikevich_neuron.nestml b/docs/tutorial/02_opt_nest_custom_models/custom_izhikevich_neuron.nestml
new file mode 100644
index 00000000..c849270a
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/custom_izhikevich_neuron.nestml
@@ -0,0 +1,35 @@
+model custom_izh_neuron:
+
+    state:
+        v mV = -65 mV    # Membrane potential in mV
+        u real = 0    # Membrane potential recovery variable
+
+    equations:
+        v' = (.04 * v * v / mV + 5 * v + (140 - u) * mV + (I_e * GOhm)) / ms
+        u' = a * (b * v - u * mV) / (mV * ms)
+
+    parameters:
+        a real = .02    # describes time scale of recovery variable
+        b real = .2    # sensitivity of recovery variable
+        c mV = -65 mV    # after-spike reset value of v
+        d real = 8.    # after-spike reset value of u
+
+    input:
+        spikes <- spike
+        I_e pA <- continuous
+
+    output:
+        spike
+
+    update:
+        integrate_odes()
+
+    onReceive(spikes):
+        # add synaptic current
+        v += spikes * mV * s
+
+    onCondition(v >= 30mV):
+        # threshold crossing
+        v = c
+        u += d
+        emit_spike()
\ No newline at end of file
diff --git a/docs/tutorial/02_opt_nest_custom_models/generate_model.py b/docs/tutorial/02_opt_nest_custom_models/generate_model.py
new file mode 100644
index 00000000..8190d3d3
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/generate_model.py
@@ -0,0 +1,51 @@
+import numpy as np
+
+
+from pynestml.codegeneration.nest_code_generator_utils import NESTCodeGeneratorUtils
+
+
+nestml_izh_model = """
+model custom_izh_neuron:
+
+    state:
+        v mV = -65 mV    # Membrane potential in mV
+        u real = 0    # Membrane potential recovery variable
+
+    equations:
+        v' = (.04 * v * v / mV + 5 * v + (140 - u) * mV + (I_e * GOhm)) / ms
+        u' = a * (b * v - u * mV) / (mV * ms)
+
+    parameters:
+        a real = .02    # describes time scale of recovery variable
+        b real = .2    # sensitivity of recovery variable
+        c mV = -65 mV    # after-spike reset value of v
+        d real = 8.    # after-spike reset value of u
+
+    input:
+        spikes <- spike
+        I_e pA <- continuous
+
+    output:
+        spike
+
+    update:
+        integrate_odes()
+
+    onReceive(spikes):
+        # add synaptic current
+        v += spikes * mV * s
+
+    onCondition(v >= 30mV):
+        # threshold crossing
+        v = c
+        u += d
+        emit_spike()
+
+"""
+
+# generate and build code
+module_name, neuron_model_name = NESTCodeGeneratorUtils.generate_code_for(
+    nestml_izh_model, module_name="nestml_izh_module", target_path="components/nestml"
+)
+
+print(module_name, neuron_model_name)
diff --git a/docs/tutorial/02_opt_nest_custom_models/inputs/virt_exc_spikes.h5 b/docs/tutorial/02_opt_nest_custom_models/inputs/virt_exc_spikes.h5
new file mode 100755
index 00000000..8b605ad6
Binary files /dev/null and b/docs/tutorial/02_opt_nest_custom_models/inputs/virt_exc_spikes.h5 differ
diff --git a/docs/tutorial/02_opt_nest_custom_models/run_pointnet.built_in.py b/docs/tutorial/02_opt_nest_custom_models/run_pointnet.built_in.py
new file mode 100644
index 00000000..67c9cc36
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/run_pointnet.built_in.py
@@ -0,0 +1,18 @@
+import os, sys
+from bmtk.simulator import pointnet
+
+
+def run(config_file):
+    configure = pointnet.Config.from_json(config_file)
+    configure.build_env()
+
+    network = pointnet.PointNetwork.from_config(configure)
+    sim = pointnet.PointSimulator.from_config(configure, network)
+    sim.run()
+
+
+if __name__ == '__main__':
+    if sys.argv[-1] != __file__:
+        run(sys.argv[-1])
+    else:
+        run('config.built_in.json')
diff --git a/docs/tutorial/02_opt_nest_custom_models/run_pointnet.iz_updated.py b/docs/tutorial/02_opt_nest_custom_models/run_pointnet.iz_updated.py
new file mode 100644
index 00000000..4852d6c4
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/run_pointnet.iz_updated.py
@@ -0,0 +1,34 @@
+import os, sys
+import nest
+
+from bmtk.simulator import pointnet
+from bmtk.simulator.pointnet import cell_model
+from bmtk.simulator.pointnet.io_tools import io
+
+
+@cell_model(directive='nest:izhikevich', model_type='point_neuron')
+def loadIzhikevich(cell, template_name, dynamics_params):
+    nodes = nest.Create(template_name, cell.n_nodes, dynamics_params)
+    
+    d_orig = nest.GetStatus(nodes, 'd')
+    jitter = cell['jitter']
+    d_noisy = d_orig*jitter
+    nest.SetStatus(nodes, {'d': d_noisy})
+    io.log_info(f'Modifying the parameters of {cell.n_nodes} {template_name} neurons.')
+    return nodes
+
+
+def run(config_file):
+    configure = pointnet.Config.from_json(config_file)
+    configure.build_env()
+
+    network = pointnet.PointNetwork.from_config(configure)
+    sim = pointnet.PointSimulator.from_config(configure, network)
+    sim.run()
+
+
+if __name__ == '__main__':
+    if sys.argv[-1] != __file__:
+        run(sys.argv[-1])
+    else:
+        run('config.iz_updated.json')
diff --git a/docs/tutorial/02_opt_nest_custom_models/run_pointnet.nestml.py b/docs/tutorial/02_opt_nest_custom_models/run_pointnet.nestml.py
new file mode 100644
index 00000000..7eb55e50
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/run_pointnet.nestml.py
@@ -0,0 +1,20 @@
+import os, sys
+# import nest
+
+from bmtk.simulator import pointnet
+
+
+def run(config_file):
+    configure = pointnet.Config.from_json(config_file)
+    configure.build_env()
+
+    network = pointnet.PointNetwork.from_config(configure)
+    sim = pointnet.PointSimulator.from_config(configure, network)
+    sim.run()
+
+
+if __name__ == '__main__':
+    if sys.argv[-1] != __file__:
+        run(sys.argv[-1])
+    else:
+        run('config.nestml.json')
diff --git a/docs/tutorial/02_opt_nest_custom_models/run_pointnet.stp_syns.py b/docs/tutorial/02_opt_nest_custom_models/run_pointnet.stp_syns.py
new file mode 100644
index 00000000..924bcfa6
--- /dev/null
+++ b/docs/tutorial/02_opt_nest_custom_models/run_pointnet.stp_syns.py
@@ -0,0 +1,34 @@
+import os, sys
+# import nest
+
+from bmtk.simulator import pointnet
+# from bmtk.simulator.pointnet import cell_model
+# from bmtk.simulator.pointnet.io_tools import io
+
+
+# @cell_model(directive='nest:izhikevich', model_type='point_neuron')
+# def loadIzhikevich(cell, template_name, dynamics_params):
+#     nodes = nest.Create(template_name, cell.n_nodes, dynamics_params)
+    
+#     d_orig = nest.GetStatus(nodes, 'd')
+#     jitter = cell['jitter']
+#     d_noisy = d_orig*jitter
+#     nest.SetStatus(nodes, {'d': d_noisy})
+#     io.log_info(f'Modifying the parameters of {cell.n_nodes} {template_name} neurons.')
+#     return nodes
+
+
+def run(config_file):
+    configure = pointnet.Config.from_json(config_file)
+    configure.build_env()
+
+    network = pointnet.PointNetwork.from_config(configure)
+    sim = pointnet.PointSimulator.from_config(configure, network)
+    sim.run()
+
+
+if __name__ == '__main__':
+    if sys.argv[-1] != __file__:
+        run(sys.argv[-1])
+    else:
+        run('config.stp_syns.json')
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/Ch_advanced_spikes_input.ipynb b/docs/tutorial/03_opt_advanced_spiking_inputs/Ch_advanced_spikes_input.ipynb
new file mode 100644
index 00000000..aa6cdce2
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/Ch_advanced_spikes_input.ipynb
@@ -0,0 +1,740 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b0477c1f-ba3f-48bf-9510-c95a59f49da4",
+   "metadata": {},
+   "source": [
+    "# Advanced Methods for Driving your Network with Synapic Spike-trains"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cacc6a76-0928-42dd-9257-009a3a628810",
+   "metadata": {},
+   "source": [
+    "BMTK is designed with the goal of building and simulating large-scale, realistic models of the nervous system. An important part for most of these realistic simulations is being able to reacreate the kinds of synaptic input you would expect to see in-vivo. And in order to achieve that modelers need to be able to generate the relevant spike-trains that drive the synpatic stimuli of our simulations.\n",
+    "\n",
+    "We have other tutorials that demonstrate how to generate realistic stimli using [FilterNet](). And we have also shown how to use the BMTK [SpikeTrain]() and [PoissonSpikeTrain]() class to generate input spike-trains. In these cases it requires users generate SONATA spike-train files before running their simulations. But BMTK also always different methods for users to generate and import spike-train stimuli into their simulations; including using other formats besides SONATA, importing experimental data, as-well-as more fine-grained control of how and where cells within a network recive synaptic stimuli.\n",
+    "\n",
+    "We will cover some of such methods in this tutorial.\n",
+    "\n",
+    "**Note** - scripts and files for running this tutorial can be found in the directory [03_opt_advanced_spiking_inputs/](https://github.com/AllenInstitute/bmtk/tree/develop/docs/tutorial/03_opt_advanced_spiking_inputs)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d5ef55a-c1ee-4173-932f-998f916672b5",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## Contents\n",
+    "1. [Example: Spike-train inputs from a custom created csv file](#example-spikes-from-csv)\n",
+    "2. [Example: Dynamically generating spike-trains with cusom function](#example-spikes-from-func)\n",
+    "3. [Example: Incorporating in-vivo NWB spiking data into your simulation](#example-spikes-from-nwb)\n",
+    "4. [Example: Forcing spotonaneous synaptic activity within a network](#example-spikes-from-spont)\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e7cd5bb-39cb-4a78-99f1-0db8e4b15d19",
+   "metadata": {},
+   "source": [
+    "## 1. Example: Using spikes from CSV <a class=\"anchor\" id=\"example-spikes-from-csv\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ee0fbbe4-28eb-466d-9173-05072374f05e",
+   "metadata": {},
+   "source": [
+    "In [Chapter 2](../Ch2_single_cell/2.%20Single%20Cell.ipynb#poisson-spike-generator) we demonstrated how to generate network spikes using the BMTK's built in PoissonSpikeGenerator class, which will produce a series of spike trains using the distribution parameters/functions we give it and save it to a SONATA spikes file using to `to_sonata` method. But BMTK also allows for input spikes to be saved and loaded using a simplier space-separated csv file, which in many cases can be easier to analyze and use with other programs.\n",
+    "\n",
+    "For example in the **network_simple_spikes/** folder (built using `build_network.simple_spikes.py`) we have a set of 10 virtual nodes that are used to synaptically drive our simulation. If we wanted each one to fire at a constant 10Hz firing rate over a 5 second interval we can use `PoissonSpikeGenerator`'s `to_csv()` class to save the spikes as a csv file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cdaa014a-4da1-47ae-aa2c-1a71f4e7ed88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.utils.reports.spike_trains import PoissonSpikeGenerator\n",
+    "\n",
+    "psg = PoissonSpikeGenerator()\n",
+    "psg.add(\n",
+    "    node_ids='network_csv_spikes/inputs_nodes.h5', \n",
+    "    firing_rate=10.0, \n",
+    "    times=(0.0, 5.0),\n",
+    "    population='inputs'\n",
+    ")\n",
+    "psg.to_csv('inputs/simple_spikes.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff9a62f1-46e3-406b-87a3-0cdd6f02f72a",
+   "metadata": {},
+   "source": [
+    "Now we can use any text editor or csv reader (like pandas) to read in our spikes for verification and analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "a85348f1-2095-43aa-a986-2988b2968433",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of cells in spikes-file: 10 (expected: 5)\n",
+      "Avg. number of spikes per cell: 51.9 (expected: 5sec x 10Hz ~ 50)\n",
+      "Min spike-time: 7.6425812866751235 ms\n",
+      "Max spike-time: 4996.1961718686 ms\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>timestamps</th>\n",
+       "      <th>population</th>\n",
+       "      <th>node_ids</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>95.713945</td>\n",
+       "      <td>inputs</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>126.560889</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>229.987050</td>\n",
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+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>245.051621</td>\n",
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+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   timestamps population  node_ids\n",
+       "0   95.713945     inputs         0\n",
+       "1  126.560889     inputs         0\n",
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+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "spikes_inputs = pd.read_csv('inputs/simple_spikes.csv', sep=' ')\n",
+    "\n",
+    "# Let's quickly check that our csv file makes sense\n",
+    "n_nodes = spikes_inputs['node_ids'].unique().shape[0]\n",
+    "n_spikes = spikes_inputs.shape[0]\n",
+    "\n",
+    "print(f'Number of cells in spikes-file: {n_nodes} (expected: 5)')\n",
+    "print(f'Avg. number of spikes per cell: {n_spikes/n_nodes} (expected: 5sec x 10Hz ~ 50)')\n",
+    "print(f'Min spike-time: {spikes_inputs[\"timestamps\"].min()} ms')\n",
+    "print(f'Max spike-time: {spikes_inputs[\"timestamps\"].max()} ms')\n",
+    "\n",
+    "spikes_inputs.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "27aca5aa-2136-4651-bbed-66981c132591",
+   "metadata": {},
+   "source": [
+    "Then when running the simulation we can do so as we previous did with SONATA spike files but with the difference is that in the **module** type for the given input must be changed from `sonata` to `csv`:\n",
+    "\n",
+    "```json\n",
+    "  \"inputs\": {\n",
+    "    \"csv_spikes\": {\n",
+    "      \"input_type\": \"spikes\",\n",
+    "      \"module\": \"csv\",\n",
+    "      \"input_file\": \"./inputs/simple_spikes.csv\",\n",
+    "      \"node_set\": \"inputs\"\n",
+    "    }\n",
+    "  },"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c1efd9ab-888c-4b52-8caf-38f4744d2ba5",
+   "metadata": {},
+   "source": [
+    "### Creating your own csv file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "655dbe88-d071-48cc-a691-2802ef66a809",
+   "metadata": {},
+   "source": [
+    "If you don't want to use the `PoissonSpikeGenerator` class you can also create your own spike-train csv file. As we can see from above, it needs to be a space-separated text file with columns **timestamps**, **population**, and **node_ids** (order doesn't matter). Each row indicates a separate spike, with the **population** + **node_ids** columns indicating the node/cell that fired, and **timestamps** (in milliseconds) indicating when it fired.\n",
+    "\n",
+    "For example, we can use the python csv writer class to create an example input file where each cell has increasing firing rate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e3b0e902-dd4c-4468-ac43-a97bf372d08f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import csv\n",
+    "import numpy as np\n",
+    "\n",
+    "with open('inputs/custom_spikes.csv', 'w') as csvfile:\n",
+    "    csvwriter = csv.writer(csvfile, delimiter=' ', quotechar='#')\n",
+    "\n",
+    "    # write the header\n",
+    "    csvwriter.writerow(['timestamps', 'population', 'node_ids'])\n",
+    "    \n",
+    "    # For node 0 we have it fire randomly at 1 Hz for 5 seconds, for node 1 at 2Hz, etc.\n",
+    "    for node_id in range(10):\n",
+    "        for timestamp in np.sort(np.random.uniform(0.0, 5000.0, size=(node_id+1)*5)):\n",
+    "            csvwriter.writerow([timestamp, 'inputs', node_id])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "019f03cf-18dc-4e88-985f-275c6ce4cb3b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.spike_trains import plot_raster\n",
+    "\n",
+    "_ = plot_raster(spikes_file='inputs/custom_spikes.csv', with_histogram=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fdf47f53-740f-44b3-b167-aec0c3117b4c",
+   "metadata": {},
+   "source": [
+    "We can now run the simulation with our custom csv input file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "4836b12f-9f91-40d2-9031-5e1a927245ef",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-18 22:59:55,738 [INFO] Created log file\n",
+      "numprocs=1\n",
+      "NEURON mechanisms not found in ./components/mechanisms.\n",
+      "2024-10-18 22:59:55,860 [INFO] Building cells.\n"
+     ]
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "argument not a density mechanism name.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[5], line 9\u001b[0m\n\u001b[1;32m      6\u001b[0m conf\u001b[38;5;241m.\u001b[39mbuild_env()\n\u001b[1;32m      8\u001b[0m net \u001b[38;5;241m=\u001b[39m bionet\u001b[38;5;241m.\u001b[39mBioNetwork\u001b[38;5;241m.\u001b[39mfrom_config(conf)\n\u001b[0;32m----> 9\u001b[0m sim \u001b[38;5;241m=\u001b[39m \u001b[43mbionet\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mBioSimulator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnetwork\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnet\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     10\u001b[0m sim\u001b[38;5;241m.\u001b[39mrun()\n\u001b[1;32m     12\u001b[0m _ \u001b[38;5;241m=\u001b[39m plot_raster(config_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mconfig.csv_spikes.json\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
+      "File \u001b[0;32m/opt/conda/envs/bmtk/lib/python3.9/site-packages/bmtk-1.1.1-py3.9.egg/bmtk/simulator/bionet/biosimulator.py:336\u001b[0m, in \u001b[0;36mBioSimulator.from_config\u001b[0;34m(cls, config, network, set_recordings)\u001b[0m\n\u001b[1;32m    333\u001b[0m \u001b[38;5;66;03m# The network must be built before initializing the simulator because\u001b[39;00m\n\u001b[1;32m    334\u001b[0m \u001b[38;5;66;03m# gap junctions must be set up before the simulation is initialized.\u001b[39;00m\n\u001b[1;32m    335\u001b[0m network\u001b[38;5;241m.\u001b[39mio\u001b[38;5;241m.\u001b[39mlog_info(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mBuilding cells.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m--> 336\u001b[0m \u001b[43mnetwork\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbuild_nodes\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    338\u001b[0m network\u001b[38;5;241m.\u001b[39mio\u001b[38;5;241m.\u001b[39mlog_info(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mBuilding recurrent connections\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m    339\u001b[0m network\u001b[38;5;241m.\u001b[39mbuild_recurrent_edges()\n",
+      "File \u001b[0;32m/opt/conda/envs/bmtk/lib/python3.9/site-packages/bmtk-1.1.1-py3.9.egg/bmtk/simulator/bionet/bionetwork.py:180\u001b[0m, in \u001b[0;36mBioNetwork.build_nodes\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    178\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m node_pop\u001b[38;5;241m.\u001b[39minternal_nodes_only:\n\u001b[1;32m    179\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m node \u001b[38;5;129;01min\u001b[39;00m node_pop[MPI_rank::MPI_size]:\n\u001b[0;32m--> 180\u001b[0m         cell \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_build_cell\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbionode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpopulation_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnode_pop\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    181\u001b[0m         node_ids_map[node\u001b[38;5;241m.\u001b[39mnode_id] \u001b[38;5;241m=\u001b[39m cell\n\u001b[1;32m    182\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_rank_node_gids[cell\u001b[38;5;241m.\u001b[39mgid] \u001b[38;5;241m=\u001b[39m cell\n",
+      "File \u001b[0;32m/opt/conda/envs/bmtk/lib/python3.9/site-packages/bmtk-1.1.1-py3.9.egg/bmtk/simulator/bionet/bionetwork.py:163\u001b[0m, in \u001b[0;36mBioNetwork._build_cell\u001b[0;34m(self, bionode, population_name)\u001b[0m\n\u001b[1;32m    161\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_build_cell\u001b[39m(\u001b[38;5;28mself\u001b[39m, bionode, population_name):\n\u001b[1;32m    162\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m bionode\u001b[38;5;241m.\u001b[39mmodel_type \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_model_type_map:\n\u001b[0;32m--> 163\u001b[0m         cell \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_model_type_map\u001b[49m\u001b[43m[\u001b[49m\u001b[43mbionode\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodel_type\u001b[49m\u001b[43m]\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbionode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpopulation_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpopulation_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbionetwork\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    164\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_rank_nodes_by_model[bionode\u001b[38;5;241m.\u001b[39mmodel_type][cell\u001b[38;5;241m.\u001b[39mgid] \u001b[38;5;241m=\u001b[39m cell\n\u001b[1;32m    165\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m cell\n",
+      "File \u001b[0;32m/opt/conda/envs/bmtk/lib/python3.9/site-packages/bmtk-1.1.1-py3.9.egg/bmtk/simulator/bionet/biocell.py:76\u001b[0m, in \u001b[0;36mBioCell.__init__\u001b[0;34m(self, node, population_name, bionetwork)\u001b[0m\n\u001b[1;32m     75\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, node, population_name, bionetwork):\n\u001b[0;32m---> 76\u001b[0m     \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mBioCell\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mnode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpopulation_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpopulation_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnetwork\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbionetwork\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     78\u001b[0m     \u001b[38;5;66;03m# Determine number of segments and store a list of all sections.\u001b[39;00m\n\u001b[1;32m     79\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_secs \u001b[38;5;241m=\u001b[39m []\n",
+      "File \u001b[0;32m/opt/conda/envs/bmtk/lib/python3.9/site-packages/bmtk-1.1.1-py3.9.egg/bmtk/simulator/bionet/cell.py:54\u001b[0m, in \u001b[0;36mCell.__init__\u001b[0;34m(self, node, population_name, network)\u001b[0m\n\u001b[1;32m     51\u001b[0m pc\u001b[38;5;241m.\u001b[39mset_gid2node(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgid, MPI_RANK)\n\u001b[1;32m     53\u001b[0m \u001b[38;5;66;03m# Load the NEURON HOC object\u001b[39;00m\n\u001b[0;32m---> 54\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_hobj \u001b[38;5;241m=\u001b[39m \u001b[43mnode\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_cell\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     56\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_edge_props \u001b[38;5;241m=\u001b[39m []\n",
+      "File \u001b[0;32m/opt/conda/envs/bmtk/lib/python3.9/site-packages/bmtk-1.1.1-py3.9.egg/bmtk/simulator/bionet/sonata_adaptors.py:76\u001b[0m, in \u001b[0;36mBioNode.load_cell\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     74\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m model_processing_str \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel_processing:\n\u001b[1;32m     75\u001b[0m     processing_fnc \u001b[38;5;241m=\u001b[39m nrn\u001b[38;5;241m.\u001b[39mpy_modules\u001b[38;5;241m.\u001b[39mcell_processor(model_processing_str)\n\u001b[0;32m---> 76\u001b[0m     hobj \u001b[38;5;241m=\u001b[39m \u001b[43mprocessing_fnc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mhobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdynamics_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     78\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m hobj\n",
+      "File \u001b[0;32m/opt/conda/envs/bmtk/lib/python3.9/site-packages/bmtk-1.1.1-py3.9.egg/bmtk/simulator/bionet/default_setters/cell_models.py:126\u001b[0m, in \u001b[0;36maibs_perisomatic\u001b[0;34m(hobj, cell, dynamics_params)\u001b[0m\n\u001b[1;32m    124\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m dynamics_params \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    125\u001b[0m     fix_axon_peri(hobj)\n\u001b[0;32m--> 126\u001b[0m     \u001b[43mset_params_peri\u001b[49m\u001b[43m(\u001b[49m\u001b[43mhobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdynamics_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    128\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m hobj\n",
+      "File \u001b[0;32m/opt/conda/envs/bmtk/lib/python3.9/site-packages/bmtk-1.1.1-py3.9.egg/bmtk/simulator/bionet/default_setters/cell_models.py:180\u001b[0m, in \u001b[0;36mset_params_peri\u001b[0;34m(hobj, biophys_params)\u001b[0m\n\u001b[1;32m    178\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m sec \u001b[38;5;129;01min\u001b[39;00m sections:\n\u001b[1;32m    179\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m p[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmechanism\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 180\u001b[0m             \u001b[43msec\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minsert\u001b[49m\u001b[43m(\u001b[49m\u001b[43mp\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmechanism\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    181\u001b[0m         \u001b[38;5;28msetattr\u001b[39m(sec, p[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m], p[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m    183\u001b[0m \u001b[38;5;66;03m# Set reversal potentials\u001b[39;00m\n",
+      "\u001b[0;31mValueError\u001b[0m: argument not a density mechanism name."
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "from bmtk.analyzer.spike_trains import plot_raster, to_dataframe\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.csv_spikes.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()\n",
+    "\n",
+    "_ = plot_raster(config_file='config.csv_spikes.json')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76baf2be-28b2-4944-981b-d7e12fad5578",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "## 2. Example: Dynamically generating custom spike-trains <a class=\"anchor\" id=\"example-spikes-from-func\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e1860a4-4702-4e6c-b839-5d4372acd95b",
+   "metadata": {},
+   "source": [
+    "Having to pregenerate spike-trains for you simulations inside a hdf5 or CSV file is computationally efficent and makes your results easier to reproduce and share. However, at times it may be beneificial for users to generate spike-trains dynamically during each simulation. If you are doing quick simulation and spot-checks it can be cumbersome having to regenerate a file beforehand. Or if a user is running thousand of simulations, or doing some kind of gradient search, the cost of having to create potentially thousand of spike files beforehand may not be reasonable.\n",
+    "\n",
+    "BMTK also allows modlers the option to create their own special function which will generate new spike-trains at the start of each simulation. To do so, you only need to make changes to the configuration for a \"spikes\" input so that the **module** is set to value `function`, and instead of spikes_input you specify a **spikes_function** parameter that will be the name of your custom function\n",
+    "\n",
+    "```json\n",
+    "\"inputs\": {\n",
+    "    \"LGN_spikes_sonata\": {\n",
+    "        \"input_type\": \"spikes\",\n",
+    "        \"module\": \"function\",\n",
+    "        \"spikes_function\": \"my_spikes_generator\",\n",
+    "        \"node_set\": \"LGN\"\n",
+    "    }\n",
+    "}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a677788-8993-4612-b595-51c4bff5ba30",
+   "metadata": {},
+   "source": [
+    "For BMTK to know where to find the `my_spikes_generator` you must then use the `@spikes_generator` at the top of a given function in your run_bmtk.py script (or any python file imported into run script). In the below example we use the following to return spike trains for every cell in the `LGN` node_set to fire at a constant rate (although different rates for differnt models)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8014e00c-b6b8-42c9-a37b-13df612ff431",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.simulator.bionet.io_tools import io\n",
+    "from bmtk.simulator.bionet import spikes_generator\n",
+    "import numpy as np\n",
+    "\n",
+    "@spikes_generator\n",
+    "def my_spikes_generator(node, sim):\n",
+    "    io.log_info(f'Generating custom spike trains for {node.node_id} from {node.population_name}')\n",
+    "    if node['pop_name'] == 'tON':\n",
+    "        return np.arange(100.0, sim.tstop, step=sim.dt*10)\n",
+    "    elif node['pop_name'] == 'tOFF':\n",
+    "        return np.arange(100.0, sim.tstop, step=sim.dt*20)\n",
+    "    else:\n",
+    "        return []\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "07f07bf1-fc89-46cb-b23f-35fe33c0a041",
+   "metadata": {},
+   "source": [
+    "* All `spikes_generator` functions must have parameters `node` and `sim`\n",
+    "  * `node` allow you to access information about each node/cell like a dictionary.\n",
+    "  * `sim` is a class containing information about a current simulation, including information like start time (`sim.tstart`), stop_time (`sim.tstop`), step size (`sim.dt`) among other properties.\n",
+    "* The `spikes_generator` should return either a list or array of timestamps, in milliseconds, for each node.\n",
+    "* For good measure, we include logging statement. This is not required, but is good for debugging and making sure our custom function is being called.\n",
+    "\n",
+    "When the simulation is ran the `my_spikes_generator` function will be called once for each node in the specified **node_set**. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "36732033-c4f4-4c36-994c-b2ec5ef44c86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.spikes_generator.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ce4e0aca-0600-4b82-87f0-151f168e2de9",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "## 3. Example: Incorporating real data with NWB <a class=\"anchor\" id=\"example-spikes-from-nwb\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7a0a55bc-a592-4778-9f6d-0862da876721",
+   "metadata": {},
+   "source": [
+    "While you can use tools like FilterNet or PoissonSpikeGenerator to create theoretical-to-realistic synaptic stimuli onto a network from a variety of different modes. But better yet, when actual experimental data is available, it is often possible to just use that. Especially as as more-and-more experimental electrophysiological data sets are being made publically available through resources like [DANDI](https://dandiarchive.org/) or [The Allen Brain Observatory](https://portal.brain-map.org/circuits-behavior/visual-coding-neuropixels) we will want to not only use such data as a base-line for validating and comparing our models, but to actually use the data within specific simulations. For example, when modeling a network of one population and/or region, we will want use recordings of surrounding cells to help excite and inhibit our cells in a more realistic manner.\n",
+    "\n",
+    "Traditionally a major issue with using encorporating experimental ephys data into simulations is trying to parse the wide variety of different ways the data was stored. Luckily, the [Neurodata Without Borders (NWB)](https://www.nwb.org/) has developed a field-adopted format for storing experimental data. BMTK can take these files and automatically insert them into simulations.\n",
+    "\n",
+    "In this example we will take the previous model of the Mouse Primary Visual Cortex and add inputs that we know come from higher cortical regions (in this case just the VisL and Hippocampal regions) along with the input from the LGN. For these added regions, we will use actual neuropixels recordings of activity from the region during drifting gratings"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd7df1db-fa11-45e9-ba96-f803a2e7d210",
+   "metadata": {},
+   "source": [
+    "### Step 1: Download the data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d183688f-c1fd-477d-ad34-cb91106b0b9b",
+   "metadata": {},
+   "source": [
+    "First step is to find experimental NWB that includes spiking events. For our example we will use data from Allen Institute Visual Coding Data downloaded using the AllenSDK. We will get a three experimental sessions that we know contains recordings the the VisL and hippocamus."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7f79d70f-b028-4e17-8991-26f54ae130db",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from allensdk.brain_observatory.ecephys.ecephys_project_cache import EcephysProjectCache\n",
+    "\n",
+    "cache = EcephysProjectCache.from_warehouse(\n",
+    "    manifest='./ecephys_cache_dir/neuropixels.manifest.json'\n",
+    ")\n",
+    "cache.get_session_data(715093703)\n",
+    "cache.get_session_data(798911424)\n",
+    "cache.get_session_data(754829445)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7dc957f1-abf5-4f0e-8304-89f207db88e4",
+   "metadata": {},
+   "source": [
+    "By defaul the NWB files will be downloaded into the *ecephys_cache_dir*. Since nwb files are essentially just structured HDF5 files you can use tools like [HDFView](https://www.hdfgroup.org/downloads/hdfview/) or [h5py](https://www.h5py.org/) to read them once they have been downloaded. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f99daefa-2859-491c-8226-2edc181e8afd",
+   "metadata": {},
+   "source": [
+    "### Step 2: Connecting VISL and Hippocampal onto our V1 cells."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ba9ede7-b667-4038-ba9a-3f46076e8a1e",
+   "metadata": {},
+   "source": [
+    "To simulation synaptic stimulation from the VisL and Hippocampal cell recordings onto our V1 model, we will need to create a population of virtual cells representing the new cells and synapses. Unforantely the electrophyiology data doesn't include information about network geometry so it is up to the modeler to decide how to connection the experimental data into our network.\n",
+    "\n",
+    "As we did before we will separate node populations called 'VISl' and 'Hippocampus' and use the NetworkBuilder to create feedforward synaptic connections\n",
+    "\n",
+    "```python\n",
+    "visl = NetworkBuilder('VISl')\n",
+    "visl.add_nodes(\n",
+    "    N=n_visl_units,\n",
+    "    model_type='virtual',\n",
+    "    ...\n",
+    ")\n",
+    "visl.add_edges(\n",
+    "    source=visal.nodes(),\n",
+    "    target=visp.nodes(ei='e'), \n",
+    "    connection_rule=connection_rule_e2e,\n",
+    "    dynamics_params='AMPA_ExcToExc.json',\n",
+    "    model_template='Exp2Syn',\n",
+    "    ...\n",
+    ")\n",
+    "\n",
+    "```\n",
+    "\n",
+    "See the *./build_network.nwb_inputs.py* for the full script that builds the SONATA network found in *./network_nwb_inputs/*"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d0d7297f-d370-44c4-aa80-eb111367c040",
+   "metadata": {},
+   "source": [
+    "### Step 3: Updating the configuration file to include NWB data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3598b866-32db-4f70-974d-fe7d59abe2e7",
+   "metadata": {},
+   "source": [
+    "Before we can run the simulation we must update the SONATA configuration file so that the simulation:\n",
+    "1. Knows which .nwb files to fetch spiking data from\n",
+    "2. Knows how to map cells (eg. NWB units) from our experimental data to cells (eg. SONATA nodes) in our 'VISl' and 'hippocampus' populations.\n",
+    "3. Know which interval of the experimental data to use in our simulation.\n",
+    "\n",
+    "The most straight forward way of doing this is to add the following to our configuration file (*config.nwb_inputs.json*) in the \"inputs\" section:\n",
+    "\n",
+    "```json\n",
+    "\"inputs\": {\n",
+    "    \"hippo_spikes\": {\n",
+    "        \"input_type\": \"spikes\",\n",
+    "        \"module\": \"ecephys_probe\",\n",
+    "        \"node_set\": \"hippocampus\",\n",
+    "        \"input_file\": \"./ecephys_cache_dir/session_715093703/session_715093703.nwb\",\n",
+    "        \"units\": {\n",
+    "            \"location\": [\"CA1\", \"CA3\", \"Po\"]\n",
+    "        }\n",
+    "        \"mapping\": \"sample\",\n",
+    "        \"interval\": {\n",
+    "            \"interval_name\": \"drifting_gratings\",\n",
+    "            \"temporal_frequency\": 4.0,\n",
+    "            \"orientation\": 90\n",
+    "        }\n",
+    "\n",
+    "    },\n",
+    "    \"visl_spikes\": {\n",
+    "        \"input_type\": \"spikes\",\n",
+    "        \"module\": \"ecephys_probe\",\n",
+    "        \"node_set\": \"VISl\",\n",
+    "        \"input_file\": \"./ecephys_cache_dir/session_715093703/session_715093703.nwb\",\n",
+    "        \"mapping\": \"sample\",\n",
+    "        \"units\": {\n",
+    "            \"location\": \"VISl\",\n",
+    "        }\n",
+    "        \"interval\": {\n",
+    "            \"interval_name\": \"drifting_gratings\",\n",
+    "            \"temporal_frequency\": 4.0,\n",
+    "            \"orientation\": 90\n",
+    "        },\n",
+    "    }\n",
+    "}\n",
+    "```\n",
+    "* The **input_type** and **module** will always be set to values `spikes` and `ecephys_probe`, respectively, when importing extracellular electrophysiology NWB files into your simulation.\n",
+    "* The **node_set** is the subset of cells in our network to use as virtual cells that are generating spikes.\n",
+    "* The **input_file** in the name of the nwb file(s) to use for spikes. To use data from multiple sessions just use a list of files:\n",
+    "```json\n",
+    "    \"input_file\": [\n",
+    "        \"./ecephys_cache_dir/session_715093703/session_715093703.nwb\",\n",
+    "        \"./ecephys_cache_dir/session_798911424/session_798911424.nwb\",\n",
+    "        \"./ecephys_cache_dir/session_754829445/session_754829445.nwb\"\n",
+    "    ]\n",
+    "```\n",
+    "* The **units** field tell us which units from the nwb file to take their spiking data from based on either specifc keywords and/or unit-id. In the Neuropixels NWB files each unit has an field called \"location\" to determine which region the data came from, which we can use here to tell that for our model's \"hippocampus\" cells use any data coming from either the CA1, CA3 or Po regions.\n",
+    "* **mapping** tells how to map NWB **units** -> SONATA **node_set**. Setting the value to `sample` to do a random mapping without replacement. You can also use options `sample_with_replacment`, useful if you have more nodes in your model than units in your data. Or if you have a specific mapping from NWB unit_ids to SONATA node_ids you can use optionn `units_map` (in which case **units** will point to a csv file).\n",
+    "* **interval** tells simulation which interval of time to fetch spikes from. Inside the NWB file there is a stimulus table that marks the stimuli at any given epoch of time. We use this table to only get spikes recorded which a \"drifting grating\" stimuli was present with a given orientation and frequency. If you know the specific time you can also use option\n",
+    "```json\n",
+    "    \"interval\": [start_time_ms, end_time_ms]\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ef2aadb1-2d31-4d26-8574-591229cd570c",
+   "metadata": {},
+   "source": [
+    "And finally we are ready to run our simulation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f77bfceb-64f0-4cd1-91a8-83aac4acfc83",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.nwb_inputs.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "448dfd35-f226-471c-98e5-929d5bc71571",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "## 4. Example: Forcing spotonaneous synaptic activity within a network <a class=\"anchor\" id=\"example-spikes-from-spont\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b18e4ca-aba8-4f41-ab52-8e19bfebf6c4",
+   "metadata": {},
+   "source": [
+    "So far in this tutorials we've focused on generating stimuli using synaptic stimuli coming from outside our main modeled network. In other tutorials we should different types in input to drive a simulation including current-clamps, voltage-clamps, and extracellar stimulation. While these can be generate both the kinds of stimuli we might see in the experiments and living brains, they tend to not be very grainular, especially when we want to study the secondary effects of activity within a network.\n",
+    "\n",
+    "One option that BMTK gives use for having more grainular control of internal network activity is by forcing certain synapses to spontaneously fire at pre-determined times. Not only can this give us more control of network dynamics that would be much harder to achive using current clamps or feedforward spike trains. But it also let's us isolate external activity from recurrent activity."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "463087a0-380e-459a-9abb-d70d659e94b2",
+   "metadata": {},
+   "source": [
+    "In BMTK this is done by adding a new input type to the \"inputs\" section the SONATA config with **input_type** and **module** called `syn_activity`. And the minimum we must define the pre-synaptic cells that will spontaneously fire and a list of firing times:\n",
+    "\n",
+    "```json\n",
+    "\"syn_activity\": {\n",
+    "  \"input_type\": \"syn_activity\",\n",
+    "  \"module\": \"syn_activity\",\n",
+    "  \"precell_filter\": {\n",
+    "      \"population\": \"VISp\",\n",
+    "      \"ei\": \"e\"\n",
+    "  },\n",
+    "  \"timestamps\": [500.0, 1000.0, 1500.0, 2000.0, 2500.0, 3000.0, 3500.0]\n",
+    "}\n",
+    "```\n",
+    "* **precell_filter** determines the synapses to sponataneously activate based on the presynaptic/source cell. In this case we tell BMTK sponataneous activity to apply on to synapses with a source-cell that has attributes `population==VISp` and `ei==e`. If you know exactly which cells you want to use you can filter by `node_id`:\n",
+    "```json\n",
+    "    \"node_id\": [0, 1, 2, 3],\n",
+    "```\n",
+    "* **timestamps** is a list of timestamps, in milliseconds, to activate the neuron following startup. If you have too many timestamps to add to the json directly, you can also pass in a string path to a txt file where each line is a timestamp.\n",
+    "\n",
+    "\n",
+    "In the above example, all the synapses with VISp, exc pre-synaptic connections will fire at the given timestamp. For further grainular control you can all set the **postcell_filter** too for filtering out synapses based on post-synaptic cell. For example if you want spontaneous firing in exc -> inh connections (the above example would also include exc -> exc synapses:\n",
+    "\n",
+    "```json\n",
+    "\"syn_activity\": {\n",
+    "  \"input_type\": \"syn_activity\",\n",
+    "  \"module\": \"syn_activity\",\n",
+    "  \"precell_filter\": {\n",
+    "      \"population\": \"VISp\",\n",
+    "      \"ei\": \"e\"\n",
+    "  },\n",
+    "  \"postcell_filter\": {\n",
+    "      \"population\": \"VISp\",\n",
+    "      \"ei\": \"i\"\n",
+    "  },\n",
+    "  \"timestamps\": [500.0, 1000.0, 1500.0, 2000.0, 2500.0, 3000.0, 3500.0]\n",
+    "}\n",
+    "```\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "957112fc-f8ae-4841-95dd-0a0bd81be884",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.spont_syns.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efdd66b3-53a0-479b-bbc4-af03a704028a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.csv_spikes.py b/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.csv_spikes.py
new file mode 100644
index 00000000..199fe18c
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.csv_spikes.py
@@ -0,0 +1,51 @@
+# import os
+import numpy as np
+# import pandas as pd
+
+from bmtk.builder import NetworkBuilder
+
+
+
+np.random.seed(100)
+
+cortex = NetworkBuilder('cortex')
+cortex.add_nodes(
+    N=10,
+    model_name='Pyr',
+    ei='e',
+    model_type='biophysical',
+    model_processing='aibs_perisomatic',
+    morphology='Scnn1a_473845048_m.swc',
+    model_template='ctdb:Biophys1.hoc',
+    dynamics_params='472363762_fit.json'
+)
+
+cortex.build()
+cortex.save(output_dir='network_csv_spikes')
+
+
+### Stimuli into the VISp from LGN
+inputs = NetworkBuilder('inputs')
+inputs.add_nodes(
+    N=10,
+    model_type='virtual',
+    ei='e'
+)
+inputs.add_edges(
+    target=cortex.nodes(), source=inputs.nodes(),
+    connection_rule=lambda s, t: np.random.uniform(10, 30) if s['node_id'] == t['node_id'] else 0,
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.0041,
+    target_sections=['basal', 'apical', 'somatic'],
+    distance_range=[0.0, 10.0e20]
+)
+inputs.build()
+inputs.save(output_dir='network_csv_spikes')
+
+
+
+
+
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.nwb_inputs.py b/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.nwb_inputs.py
new file mode 100644
index 00000000..1d6c07c5
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.nwb_inputs.py
@@ -0,0 +1,178 @@
+# import os
+import numpy as np
+# import pandas as pd
+
+from bmtk.builder import NetworkBuilder
+# from bmtk.builder.auxi.node_params import positions_columinar, xiter_random
+
+
+
+np.random.seed(100)
+
+visp = NetworkBuilder('VISp')
+visp.add_nodes(
+    N=80,
+    model_name='Pyr',
+    ei='e',
+    model_type='biophysical',
+    model_processing='aibs_perisomatic',
+    morphology='Scnn1a_473845048_m.swc',
+    model_template='ctdb:Biophys1.hoc',
+    dynamics_params='472363762_fit.json'
+)
+
+visp.add_nodes(
+    N=20,
+    model_name='Pvalb',
+    ei='i',
+    model_type='biophysical',
+    model_processing='aibs_perisomatic',
+    morphology='Pvalb_470522102_m.swc',
+    model_template='ctdb:Biophys1.hoc',
+    dynamics_params='472912177_fit.json'
+)
+
+# exc --> exc connections
+visp.add_edges(
+    source={'ei': 'e'}, target={'ei': 'e'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    syn_weight=6.0e-05,
+    delay=2.0,
+    target_sections=['basal', 'apical'],
+    distance_range=[30.0, 150.0]
+)
+
+# exc --> inh connections
+visp.add_edges(
+    source={'ei': 'e'}, target={'ei': 'i'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='AMPA_ExcToInh.json',
+    model_template='Exp2Syn',
+    syn_weight=0.0006,
+    delay=2.0,
+    target_sections=['somatic', 'basal'],
+    distance_range=[0.0, 1.0e+20]
+)
+
+# inh --> exc connections
+visp.add_edges(
+    source={'ei': 'i'}, target={'ei': 'e'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='GABA_InhToExc.json',
+    model_template='Exp2Syn',
+    syn_weight=0.002,
+    delay=2.0,
+    target_sections=['somatic', 'basal', 'apical'],
+    distance_range=[0.0, 50.0]
+)
+
+# inh --> inh connections
+visp.add_edges(
+    source={'ei': 'i'}, target={'ei': 'i'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='GABA_InhToInh.json',
+    model_template='Exp2Syn',
+    syn_weight=0.00015,
+    delay=2.0,
+    target_sections=['somatic', 'basal'],
+    distance_range=[0.0, 1.0e+20]
+)
+
+visp.build()
+visp.save(output_dir='network_nwb_inputs')
+
+
+### Stimuli into the VISp from LGN
+lgn = NetworkBuilder('LGN')
+lgn.add_nodes(
+    N=100,
+    x=np.random.uniform(-40.0, 40.0, size=100),
+    y=np.random.uniform(-40.0, 40.0, size=100),
+    model_type='virtual',
+    ei='e'
+)
+lgn.add_edges(
+    target=visp.nodes(ei='e'), source=lgn.nodes(),
+    connection_rule=10,
+    # iterator='one_to_all',
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.00041,
+    target_sections=['basal', 'apical', 'somatic'],
+    distance_range=[0.0, 50.0]
+)
+lgn.add_edges(
+    target=visp.nodes(ei='i'), source=lgn.nodes(),
+    connection_rule=10,
+    dynamics_params='AMPA_ExcToInh.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.00095,
+    target_sections=['basal', 'apical', 'somatic'],
+    distance_range=[0.0, 1e+20]
+)
+lgn.build()
+lgn.save(output_dir='network_nwb_inputs')
+
+
+visl = NetworkBuilder('VISl')
+visl.add_nodes(
+    N=20,
+    model_type='virtual',
+    ei='e'
+)
+visl.add_edges(
+    target=visp.nodes(ei='e'), source=visl.nodes(),
+    connection_rule=lambda *_: np.random.uniform(0, 20),
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.00041,
+    target_sections=['basal', 'apical', 'somatic'],
+    distance_range=[0.0, 1e+20]
+)
+visl.add_edges(
+    target=visp.nodes(ei='i'), source=visl.nodes(),
+    connection_rule=lambda *_: np.random.uniform(0, 20),
+    dynamics_params='AMPA_ExcToInh.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.00095,
+    target_sections=['basal', 'apical', 'somatic'],
+    distance_range=[0.0, 1e+20]
+)
+visl.build()
+visl.save(output_dir='network_nwb_inputs')
+
+
+hippo = NetworkBuilder('Hippocampus')
+hippo.add_nodes(
+    N=20,
+    model_type='virtual',
+    ei='e'
+)
+hippo.add_edges(
+    target=visp.nodes(ei='e'), source=hippo.nodes(),
+    connection_rule=lambda *_: np.random.uniform(0, 10),
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.00041,
+    target_sections=['basal', 'apical'],
+    distance_range=[50.0, 1e+20]
+)
+hippo.add_edges(
+    target=visp.nodes(ei='i'), source=hippo.nodes(),
+    connection_rule=lambda *_: np.random.uniform(0, 10),
+    dynamics_params='AMPA_ExcToInh.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.00095,
+    target_sections=['basal', 'apical'],
+    distance_range=[50.0, 1e+20]
+)
+hippo.build()
+hippo.save(output_dir='network_nwb_inputs')
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.spikes_generator.py b/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.spikes_generator.py
new file mode 100644
index 00000000..677c0979
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.spikes_generator.py
@@ -0,0 +1,137 @@
+import numpy as np
+from bmtk.builder import NetworkBuilder
+
+
+# import os
+import numpy as np
+# import pandas as pd
+
+from bmtk.builder import NetworkBuilder
+# from bmtk.builder.auxi.node_params import positions_columinar, xiter_random
+
+
+
+np.random.seed(100)
+
+visp = NetworkBuilder('VISp')
+visp.add_nodes(
+    N=80,
+    model_name='Pyr',
+    ei='e',
+    model_type='biophysical',
+    model_processing='aibs_perisomatic',
+    morphology='Scnn1a_473845048_m.swc',
+    model_template='ctdb:Biophys1.hoc',
+    dynamics_params='472363762_fit.json'
+)
+
+visp.add_nodes(
+    N=20,
+    model_name='Pvalb',
+    ei='i',
+    model_type='biophysical',
+    model_processing='aibs_perisomatic',
+    morphology='Pvalb_470522102_m.swc',
+    model_template='ctdb:Biophys1.hoc',
+    dynamics_params='472912177_fit.json'
+)
+
+# exc --> exc connections
+visp.add_edges(
+    source={'ei': 'e'}, target={'ei': 'e'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    syn_weight=6.0e-05,
+    delay=2.0,
+    target_sections=['basal', 'apical'],
+    distance_range=[30.0, 150.0]
+)
+
+# exc --> inh connections
+visp.add_edges(
+    source={'ei': 'e'}, target={'ei': 'i'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='AMPA_ExcToInh.json',
+    model_template='Exp2Syn',
+    syn_weight=0.0006,
+    delay=2.0,
+    target_sections=['somatic', 'basal'],
+    distance_range=[0.0, 1.0e+20]
+)
+
+# inh --> exc connections
+visp.add_edges(
+    source={'ei': 'i'}, target={'ei': 'e'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='GABA_InhToExc.json',
+    model_template='Exp2Syn',
+    syn_weight=0.002,
+    delay=2.0,
+    target_sections=['somatic', 'basal', 'apical'],
+    distance_range=[0.0, 50.0]
+)
+
+# inh --> inh connections
+visp.add_edges(
+    source={'ei': 'i'}, target={'ei': 'i'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='GABA_InhToInh.json',
+    model_template='Exp2Syn',
+    syn_weight=0.00015,
+    delay=2.0,
+    target_sections=['somatic', 'basal'],
+    distance_range=[0.0, 1.0e+20]
+)
+
+visp.build()
+visp.save(output_dir='network_spikes_generator')
+
+
+lgn = NetworkBuilder('LGN')
+
+lgn.add_nodes(
+    N=20,
+    model_type='virtual',
+    model_template='lgnmodel:tOFF_TF15',
+    x=np.random.uniform(0.0, 240.0, 20),
+    y=np.random.uniform(0.0, 120.0, 20),
+    spatial_size=1.0,
+    pop_name='tOFF',
+    dynamics_params='tOFF_TF15.json'
+)
+lgn.add_nodes(
+    N=20,
+    model_type='virtual',
+    model_template='lgnmodel:tON',
+    x=np.random.uniform(0.0, 240.0, 20),
+    y=np.random.uniform(0.0, 120.0, 20),
+    spatial_size=1.0,
+    pop_name='tON',
+    dynamics_params='tON_TF8.json'
+)
+lgn.add_edges(
+    target=visp.nodes(ei='e'), source=lgn.nodes(),
+    connection_rule=10,
+    # iterator='one_to_all',
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.00041,
+    target_sections=['basal', 'apical', 'somatic'],
+    distance_range=[0.0, 50.0]
+)
+lgn.add_edges(
+    target=visp.nodes(ei='i'), source=lgn.nodes(),
+    connection_rule=10,
+    dynamics_params='AMPA_ExcToInh.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.00095,
+    target_sections=['basal', 'apical', 'somatic'],
+    distance_range=[0.0, 1e+20]
+)
+
+
+lgn.build()
+lgn.save(output_dir='network_spikes_generator')
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.spont_syns.py b/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.spont_syns.py
new file mode 100644
index 00000000..04ec60b9
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/build_network.spont_syns.py
@@ -0,0 +1,84 @@
+# import os
+import numpy as np
+# import pandas as pd
+
+from bmtk.builder import NetworkBuilder
+# from bmtk.builder.auxi.node_params import positions_columinar, xiter_random
+
+
+
+np.random.seed(100)
+
+visp = NetworkBuilder('VISp')
+visp.add_nodes(
+    N=80,
+    model_name='Pyr',
+    ei='e',
+    model_type='biophysical',
+    model_processing='aibs_perisomatic',
+    morphology='Scnn1a_473845048_m.swc',
+    model_template='ctdb:Biophys1.hoc',
+    dynamics_params='472363762_fit.json'
+)
+
+visp.add_nodes(
+    N=20,
+    model_name='Pvalb',
+    ei='i',
+    model_type='biophysical',
+    model_processing='aibs_perisomatic',
+    morphology='Pvalb_470522102_m.swc',
+    model_template='ctdb:Biophys1.hoc',
+    dynamics_params='472912177_fit.json'
+)
+
+# exc --> exc connections
+visp.add_edges(
+    source={'ei': 'e'}, target={'ei': 'e'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    syn_weight=6.0e-05,
+    delay=2.0,
+    target_sections=['basal', 'apical'],
+    distance_range=[30.0, 150.0]
+)
+
+# exc --> inh connections
+visp.add_edges(
+    source={'ei': 'e'}, target={'ei': 'i'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='AMPA_ExcToInh.json',
+    model_template='Exp2Syn',
+    syn_weight=0.0006,
+    delay=2.0,
+    target_sections=['somatic', 'basal'],
+    distance_range=[0.0, 1.0e+20]
+)
+
+# inh --> exc connections
+visp.add_edges(
+    source={'ei': 'i'}, target={'ei': 'e'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='GABA_InhToExc.json',
+    model_template='Exp2Syn',
+    syn_weight=0.002,
+    delay=2.0,
+    target_sections=['somatic', 'basal', 'apical'],
+    distance_range=[0.0, 50.0]
+)
+
+# inh --> inh connections
+visp.add_edges(
+    source={'ei': 'i'}, target={'ei': 'i'},
+    connection_rule=lambda *_: np.random.randint(0, 10),
+    dynamics_params='GABA_InhToInh.json',
+    model_template='Exp2Syn',
+    syn_weight=0.00015,
+    delay=2.0,
+    target_sections=['somatic', 'basal'],
+    distance_range=[0.0, 1.0e+20]
+)
+
+visp.build()
+visp.save(output_dir='network_spont_syns')
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/biophysical_neuron_templates/472363762_fit.json b/docs/tutorial/03_opt_advanced_spiking_inputs/components/biophysical_neuron_templates/472363762_fit.json
new file mode 100644
index 00000000..99f0eb30
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/biophysical_neuron_templates/472363762_fit.json
@@ -0,0 +1,173 @@
+{
+  "passive": [
+    {
+      "ra": 138.28, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "axon", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "apic", 
+          "cm": 2.12
+        }, 
+        {
+          "section": "dend", 
+          "cm": 2.12
+        }
+      ], 
+      "e_pas": -92.49911499023438
+    }
+  ], 
+  "axon_morph": [
+    {
+      "delete_axon": [
+        "forsec axonal{delete_section()}", 
+        "  create axon[2]", 
+        "  axon[0]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "  axon[1]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "", 
+        "nSecAxonal = 2", 
+        "connect axon(0), soma(0.5)", 
+        "connect axon[1](0), axon[0](1) ", 
+        "access soma"
+      ], 
+      "setup_line": "create soma[1], dend[1], apic[1], axon[1]"
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        38
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -92.49911499023438
+    }
+  ], 
+  "genome": [
+    {
+      "value": 0.0012021154978800002, 
+      "section": "soma", 
+      "name": "gbar_Im", 
+      "mechanism": "Im"
+    }, 
+    {
+      "value": 4.12225901169e-05, 
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "mechanism": "Ih"
+    }, 
+    {
+      "value": 0.98228995892999993, 
+      "section": "soma", 
+      "name": "gbar_NaTs", 
+      "mechanism": "NaTs"
+    }, 
+    {
+      "value": 0.000209348990528, 
+      "section": "soma", 
+      "name": "gbar_Nap", 
+      "mechanism": "Nap"
+    }, 
+    {
+      "value": 0.051758360920800002, 
+      "section": "soma", 
+      "name": "gbar_K_P", 
+      "mechanism": "K_P"
+    }, 
+    {
+      "value": 0.00073160714529799998, 
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "mechanism": "K_T"
+    }, 
+    {
+      "value": 0.00019222004878899999, 
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "mechanism": "SK"
+    }, 
+    {
+      "value": 0.057264803402699994, 
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "value": 0.00053599731839199991, 
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "value": 0.0070061294358100008, 
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "value": 0.0012510775510599999, 
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 717.91660042899991, 
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 5.71880766722e-06, 
+      "section": "soma", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 0.00045738760076499994, 
+      "section": "axon", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 3.2393273274400003e-06, 
+      "section": "dend", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 9.5861855476200007e-05, 
+      "section": "apic", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/biophysical_neuron_templates/472912177_fit.json b/docs/tutorial/03_opt_advanced_spiking_inputs/components/biophysical_neuron_templates/472912177_fit.json
new file mode 100644
index 00000000..f06b7f73
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/biophysical_neuron_templates/472912177_fit.json
@@ -0,0 +1,163 @@
+{
+  "passive": [
+    {
+      "ra": 143.65, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 2.16
+        }, 
+        {
+          "section": "axon", 
+          "cm": 2.16
+        }, 
+        {
+          "section": "dend", 
+          "cm": 2.16
+        }
+      ], 
+      "e_pas": -95.53709411621094
+    }
+  ], 
+  "axon_morph": [
+    {
+      "delete_axon": [
+        "forsec axonal{delete_section()}", 
+        "  create axon[2]", 
+        "  axon[0]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "  axon[1]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "", 
+        "nSecAxonal = 2", 
+        "connect axon(0), soma(0.5)", 
+        "connect axon[1](0), axon[0](1) ", 
+        "access soma"
+      ], 
+      "setup_line": "create soma[1], dend[1], apic[1], axon[1]"
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        55
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -95.53709411621094
+    }
+  ], 
+  "genome": [
+    {
+      "value": 5.1162860430100002e-05, 
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "mechanism": "Ih"
+    }, 
+    {
+      "value": 0.058520185129300004, 
+      "section": "soma", 
+      "name": "gbar_NaV", 
+      "mechanism": "NaV"
+    }, 
+    {
+      "value": 0.00031192529327399998, 
+      "section": "soma", 
+      "name": "gbar_Kd", 
+      "mechanism": "Kd"
+    }, 
+    {
+      "value": 0.051060238264300006, 
+      "section": "soma", 
+      "name": "gbar_Kv2like", 
+      "mechanism": "Kv2like"
+    }, 
+    {
+      "value": 0.65076055389700005, 
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "value": 0.033385946416300001, 
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "mechanism": "K_T"
+    }, 
+    {
+      "value": 0.00775048605222, 
+      "section": "soma", 
+      "name": "gbar_Im_v2", 
+      "mechanism": "Im_v2"
+    }, 
+    {
+      "value": 0.0027340091995900003, 
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "mechanism": "SK"
+    }, 
+    {
+      "value": 0.00056478972054199987, 
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "value": 0.0032114779487500003, 
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "value": 0.0077204433411699998, 
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 20.300246788599999, 
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 0.00026705534351299998, 
+      "section": "soma", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 0.00066246357111199989, 
+      "section": "axon", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 9.8019833221899986e-06, 
+      "section": "dend", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/filter_models/tOFF_TF15.json b/docs/tutorial/03_opt_advanced_spiking_inputs/components/filter_models/tOFF_TF15.json
new file mode 100644
index 00000000..4e9b43af
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/filter_models/tOFF_TF15.json
@@ -0,0 +1,51 @@
+{
+  "sopt_msg": [
+    "After ", 
+    "8", 
+    "function evaluations, TNC returned:", 
+    "Converged (|f_n-f_(n-1)| ~= 0)"
+  ], 
+  "sopt_nf": 8, 
+  "sopt_res": [
+    3.4416603571978417, 
+    -2.1155994819051305, 
+    8.269733598229024, 
+    19.99148791096526
+  ], 
+  "init_prms": [
+    3.44215357, 
+    -2.11509939, 
+    8.27421573, 
+    20.0
+  ], 
+  "opt_wts": [
+    3.4416603571978417, 
+    -2.1155994819051305
+  ], 
+  "prms_bds": [
+    [
+      1.0, 
+      10.0
+    ], 
+    [
+      -10.0, 
+      -0.05
+    ], 
+    [
+      2, 
+      100
+    ], 
+    [
+      2, 
+      200
+    ]
+  ], 
+  "opt_delays": [
+    0, 
+    0
+  ], 
+  "opt_kpeaks": [
+    8.269733598229024, 
+    19.99148791096526
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/filter_models/tON_TF8.json b/docs/tutorial/03_opt_advanced_spiking_inputs/components/filter_models/tON_TF8.json
new file mode 100644
index 00000000..e6116ab8
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/filter_models/tON_TF8.json
@@ -0,0 +1,51 @@
+{
+  "sopt_msg": [
+    "After ", 
+    "20", 
+    "function evaluations, TNC returned:", 
+    "Converged (|f_n-f_(n-1)| ~= 0)"
+  ], 
+  "sopt_nf": 20, 
+  "sopt_res": [
+    4.21848979193672, 
+    -2.404989833331929, 
+    8.524645232832142, 
+    23.246816713624384
+  ], 
+  "init_prms": [
+    4.222, 
+    -2.404, 
+    8.545, 
+    23.019
+  ], 
+  "opt_wts": [
+    4.21848979193672, 
+    -2.404989833331929
+  ], 
+  "prms_bds": [
+    [
+      1.0, 
+      10.0
+    ], 
+    [
+      -10.0, 
+      -0.05
+    ], 
+    [
+      2, 
+      100
+    ], 
+    [
+      2, 
+      200
+    ]
+  ], 
+  "opt_delays": [
+    0, 
+    0
+  ], 
+  "opt_kpeaks": [
+    8.524645232832142, 
+    23.246816713624384
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/CaDynamics.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/CaDynamics.mod
new file mode 100644
index 00000000..12af0659
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/CaDynamics.mod
@@ -0,0 +1,40 @@
+: Dynamics that track inside calcium concentration
+: modified from Destexhe et al. 1994
+
+NEURON	{
+	SUFFIX CaDynamics
+	USEION ca READ ica WRITE cai
+	RANGE decay, gamma, minCai, depth
+}
+
+UNITS	{
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+	FARADAY = (faraday) (coulombs)
+	(molar) = (1/liter)
+	(mM) = (millimolar)
+	(um)	= (micron)
+}
+
+PARAMETER	{
+	gamma = 0.05 : percent of free calcium (not buffered)
+	decay = 80 (ms) : rate of removal of calcium
+	depth = 0.1 (um) : depth of shell
+	minCai = 1e-4 (mM)
+}
+
+ASSIGNED	{ica (mA/cm2)}
+
+INITIAL {
+	cai = minCai
+}
+
+STATE	{
+	cai (mM)
+}
+
+BREAKPOINT	{ SOLVE states METHOD cnexp }
+
+DERIVATIVE states	{
+	cai' = -(10000)*(ica*gamma/(2*FARADAY*depth)) - (cai - minCai)/decay
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Ca_HVA.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Ca_HVA.mod
new file mode 100644
index 00000000..84db2d3c
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Ca_HVA.mod
@@ -0,0 +1,82 @@
+: Reference:		Reuveni, Friedman, Amitai, and Gutnick, J.Neurosci. 1993
+
+NEURON	{
+	SUFFIX Ca_HVA
+	USEION ca READ eca WRITE ica
+	RANGE gbar, g, ica 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+}
+
+ASSIGNED	{
+	v	(mV)
+	eca	(mV)
+	ica	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{ 
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ica = g*(v-eca)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+    :   if((v == -27) ){        
+    :       v = v+0.0001
+    :   }
+		:mAlpha =  (0.055*(-27-v))/(exp((-27-v)/3.8) - 1)
+		mAlpha = 0.055 * vtrap(-27 - v, 3.8)        
+		mBeta  =  (0.94*exp((-75-v)/17))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = 1/(mAlpha + mBeta)
+		hAlpha =  (0.000457*exp((-13-v)/50))
+		hBeta  =  (0.0065/(exp((-v-15)/28)+1))
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = 1/(hAlpha + hBeta)
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Ca_LVA.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Ca_LVA.mod
new file mode 100644
index 00000000..ab151d0e
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Ca_LVA.mod
@@ -0,0 +1,69 @@
+: Comment: LVA ca channel. Note: mtau is an approximation from the plots
+: Reference:		Avery and Johnston 1996, tau from Randall 1997
+: Comment: shifted by -10 mv to correct for junction potential
+: Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Ca_LVA
+	USEION ca READ eca WRITE ica
+	RANGE gbar, g, ica
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	eca	(mV)
+	ica	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ica = g*(v-eca)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		v = v + 10
+		mInf = 1.0000/(1+ exp((v - -30.000)/-6))
+		mTau = (5.0000 + 20.0000/(1+exp((v - -25.000)/5)))/qt
+		hInf = 1.0000/(1+ exp((v - -80.000)/6.4))
+		hTau = (20.0000 + 50.0000/(1+exp((v - -40.000)/7)))/qt
+		v = v - 10
+	UNITSON
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Ih.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Ih.mod
new file mode 100644
index 00000000..73b97d84
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Ih.mod
@@ -0,0 +1,71 @@
+: Reference:		Kole,Hallermann,and Stuart, J. Neurosci. 2006
+
+NEURON	{
+	SUFFIX Ih
+	NONSPECIFIC_CURRENT ihcn
+	RANGE gbar, g, ihcn 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+	ehcn =  -45.0 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ihcn	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ihcn = g*(v-ehcn)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+    :    if(v == -154.9){
+    :       v = v + 0.0001
+    :    }
+		:mAlpha =  0.001*6.43*(v+154.9)/(exp((v+154.9)/11.9)-1)
+		mAlpha = 0.001 * 6.43 * vtrap(v + 154.9, 11.9)
+		mBeta  =  0.001*193*exp(v/33.1)
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = 1/(mAlpha + mBeta)
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Im.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Im.mod
new file mode 100644
index 00000000..d6112d57
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Im.mod
@@ -0,0 +1,62 @@
+: Reference:		Adams et al. 1982 - M-currents and other potassium currents in bullfrog sympathetic neurones
+: Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Im
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		mAlpha = 3.3e-3*exp(2.5*0.04*(v - -35))
+		mBeta = 3.3e-3*exp(-2.5*0.04*(v - -35))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Im_v2.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Im_v2.mod
new file mode 100644
index 00000000..fc219f71
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Im_v2.mod
@@ -0,0 +1,59 @@
+: Based on Im model of Vervaeke et al. (2006)
+
+NEURON	{
+	SUFFIX Im_v2
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-30)/10)
+  mAlpha = 0.007 * exp( (6 * 0.4 * (v - (-48))) / 26.12 )
+  mBeta = 0.007 * exp( (-6 * (1 - 0.4) * (v - (-48))) / 26.12 )
+
+	mInf = mAlpha / (mAlpha + mBeta)
+  mTau = (15 + 1 / (mAlpha + mBeta)) / qt
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/K_P.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/K_P.mod
new file mode 100644
index 00000000..0a1238f9
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/K_P.mod
@@ -0,0 +1,71 @@
+: Comment: The persistent component of the K current
+: Reference:		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+
+
+NEURON	{
+	SUFFIX K_P
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshift = 0 (mV)
+	tauF = 1
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+	UNITSOFF
+		mInf =  1 / (1 + exp(-(v - (-14.3 + vshift)) / 14.6))
+    if (v < -50 + vshift){
+    	mTau = tauF * (1.25+175.03*exp(-(v - vshift) * -0.026))/qt
+    } else {
+      mTau = tauF * (1.25+13*exp(-(v - vshift) * 0.026))/qt
+    }
+		hInf =  1/(1 + exp(-(v - (-54 + vshift))/-11))
+		hTau =  (360+(1010+24*(v - (-55 + vshift)))*exp(-((v - (-75 + vshift))/48)^2))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/K_T.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/K_T.mod
new file mode 100644
index 00000000..c31beaff
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/K_T.mod
@@ -0,0 +1,68 @@
+: Comment: The transient component of the K current
+: Reference:		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+
+NEURON	{
+	SUFFIX K_T
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshift = 0 (mV)
+	mTauF = 1.0
+	hTauF = 1.0
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*m*h
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		mInf =  1/(1 + exp(-(v - (-47 + vshift)) / 29))
+		mTau =  (0.34 + mTauF * 0.92*exp(-((v+71-vshift)/59)^2))/qt
+		hInf =  1/(1 + exp(-(v+66-vshift)/-10))
+		hTau =  (8 + hTauF * 49*exp(-((v+73-vshift)/23)^2))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Kd.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Kd.mod
new file mode 100644
index 00000000..82cbe59a
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Kd.mod
@@ -0,0 +1,62 @@
+: Based on Kd model of Foust et al. (2011)
+
+
+NEURON	{
+	SUFFIX Kd
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m * h
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+	h' = (hInf - h) / hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+	mInf = 1 - 1 / (1 + exp((v - (-43)) / 8))
+  mTau = 1
+  hInf = 1 / (1 + exp((v - (-67)) / 7.3))
+  hTau = 1500
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Kv2like.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Kv2like.mod
new file mode 100644
index 00000000..1cbdf843
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Kv2like.mod
@@ -0,0 +1,86 @@
+: Kv2-like channel
+: Adapted from model implemented in Keren et al. 2005
+: Adjusted parameters to be similar to guangxitoxin-sensitive current in mouse CA1 pyramids from Liu and Bean 2014
+
+
+NEURON	{
+	SUFFIX Kv2like
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mAlpha
+	mBeta
+	mTau
+	hInf
+	h1Tau
+	h2Tau
+}
+
+STATE	{
+	m
+	h1
+	h2
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m * m * (0.5 * h1 + 0.5 * h2)
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+	h1' = (hInf - h1) / h1Tau
+	h2' = (hInf - h2) / h2Tau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h1 = hInf
+	h2 = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+	UNITSOFF
+		mAlpha = 0.12 * vtrap( -(v - 43), 11.0)
+		mBeta = 0.02 * exp(-(v + 1.27) / 120)
+		mInf = mAlpha / (mAlpha + mBeta)
+		mTau = 2.5 * (1 / (qt * (mAlpha + mBeta)))
+
+		hInf =  1/(1 + exp((v + 58) / 11))
+		h1Tau = (360 + (1010 + 23.7 * (v + 54)) * exp(-((v + 75) / 48)^2)) / qt
+		h2Tau = (2350 + 1380 * exp(-0.011 * v) - 210 * exp(-0.03 * v)) / qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Kv3_1.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Kv3_1.mod
new file mode 100644
index 00000000..e2446577
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Kv3_1.mod
@@ -0,0 +1,54 @@
+: Comment: Kv3-like potassium current
+
+NEURON	{
+	SUFFIX Kv3_1
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshift = 0 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+		mInf =  1/(1+exp(((v -(18.700 + vshift))/(-9.700))))
+		mTau =  0.2*20.000/(1+exp(((v -(-46.560 + vshift))/(-44.140))))
+	UNITSON
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/NaTa.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/NaTa.mod
new file mode 100644
index 00000000..fcf7bd39
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/NaTa.mod
@@ -0,0 +1,95 @@
+: Reference: Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTa
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+
+	malphaF = 0.182
+	mbetaF = 0.124
+	mvhalf = -48 (mV)
+	mk = 6 (mV)
+
+	halphaF = 0.015
+	hbetaF = 0.015
+	hvhalf = -69 (mV)
+	hk = 6 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+
+	UNITSOFF
+		mAlpha = malphaF * vtrap(-(v - mvhalf), mk)
+		mBeta = mbetaF * vtrap((v - mvhalf), mk)
+
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+
+		hAlpha = halphaF * vtrap(v - hvhalf, hk) : ng - adjusted this to match actual Colbert & Pan values for soma model
+		hBeta = hbetaF * vtrap(-(v - hvhalf), hk) : ng - adjusted this to match actual Colbert & Pan values for soma model
+
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/NaTs.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/NaTs.mod
new file mode 100644
index 00000000..f753e718
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/NaTs.mod
@@ -0,0 +1,95 @@
+: Reference: Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTs
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+
+	malphaF = 0.182
+	mbetaF = 0.124
+	mvhalf = -40 (mV)
+	mk = 6 (mV)
+
+	halphaF = 0.015
+	hbetaF = 0.015
+	hvhalf = -66 (mV)
+	hk = 6 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+
+	UNITSOFF
+		mAlpha = malphaF * vtrap(-(v - mvhalf), mk)
+		mBeta = mbetaF * vtrap((v - mvhalf), mk)
+
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+
+		hAlpha = halphaF * vtrap(v - hvhalf, hk)
+		hBeta = hbetaF * vtrap(-(v - hvhalf), hk)
+
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/NaV.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/NaV.mod
new file mode 100644
index 00000000..a7023956
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/NaV.mod
@@ -0,0 +1,186 @@
+TITLE Mouse sodium current
+: Kinetics of Carter et al. (2012)
+: Based on 37 degC recordings from mouse hippocampal CA1 pyramids
+
+NEURON {
+  SUFFIX NaV
+  USEION na READ ena WRITE ina
+  RANGE g, gbar
+}
+
+UNITS { 
+	(mV) = (millivolt)
+	(S) = (siemens)
+}
+
+PARAMETER {
+	gbar = .015			(S/cm2)
+
+	: kinetic parameters
+	Con = 0.01			(/ms)					: closed -> inactivated transitions
+	Coff = 40				(/ms)					: inactivated -> closed transitions
+	Oon = 8					(/ms)					: open -> Ineg transition
+	Ooff = 0.05			(/ms)					: Ineg -> open transition
+	alpha = 400			(/ms)
+	beta = 12				(/ms)
+	gamma = 250			(/ms)					: opening
+	delta = 60			(/ms)					: closing
+
+	alfac = 2.51
+	btfac = 5.32
+
+	: Vdep
+	x1 = 24				(mV)								: Vdep of activation (alpha)
+	x2 = -24			(mV)								: Vdep of deactivation (beta)
+}
+
+ASSIGNED {
+
+	: rates
+	f01  		(/ms)
+	f02  		(/ms)
+	f03 		(/ms)
+	f04			(/ms)
+	f0O 		(/ms)
+	f11 		(/ms)
+	f12 		(/ms)
+	f13 		(/ms)
+	f14 		(/ms)
+	f1n 		(/ms)
+	fi1 		(/ms)
+	fi2 		(/ms)
+	fi3 		(/ms)
+	fi4 		(/ms)
+	fi5 		(/ms)
+	fin 		(/ms)
+
+	b01 		(/ms)
+	b02 		(/ms)
+	b03 		(/ms)
+	b04			(/ms)
+	b0O 		(/ms)
+	b11  		(/ms)
+	b12 		(/ms)
+	b13 		(/ms)
+	b14 		(/ms)
+	b1n 		(/ms)
+	bi1 		(/ms)
+	bi2 		(/ms)
+	bi3 		(/ms)
+	bi4 		(/ms)
+	bi5 		(/ms)
+	bin 		(/ms)
+	
+	v				(mV)
+ 	ena			(mV)
+	ina			(milliamp/cm2)
+	g				(S/cm2)
+	celsius (degC)
+}
+
+STATE {
+	C1 FROM 0 TO 1
+	C2 FROM 0 TO 1
+	C3 FROM 0 TO 1
+	C4 FROM 0 TO 1
+	C5 FROM 0 TO 1
+	I1 FROM 0 TO 1
+	I2 FROM 0 TO 1
+	I3 FROM 0 TO 1
+	I4 FROM 0 TO 1
+	I5 FROM 0 TO 1
+	O FROM 0 TO 1
+	I6 FROM 0 TO 1
+}
+
+BREAKPOINT {
+	SOLVE activation METHOD sparse
+	g = gbar * O
+	ina = g * (v - ena)
+}
+
+INITIAL {
+ rates(v)
+ SOLVE seqinitial
+}
+
+KINETIC activation
+{
+	rates(v)
+	~ C1 <-> C2					(f01,b01)
+	~ C2 <-> C3					(f02,b02)
+	~ C3 <-> C4					(f03,b03)
+	~ C4 <-> C5					(f04,b04)
+	~ C5 <-> O					(f0O,b0O)
+	~ O <-> I6					(fin,bin)
+	~ I1 <-> I2					(f11,b11)
+	~ I2 <-> I3					(f12,b12)
+	~ I3 <-> I4					(f13,b13)
+	~ I4 <-> I5					(f14,b14)
+	~ I5 <-> I6					(f1n,b1n)
+	~ C1 <-> I1					(fi1,bi1)
+	~ C2 <-> I2					(fi2,bi2)
+	~ C3 <-> I3					(fi3,bi3)
+ 	~ C4 <-> I4					(fi4,bi4)
+ 	~ C5 <-> I5					(fi5,bi5)
+
+	CONSERVE C1 + C2 + C3 + C4 + C5 + O + I1 + I2 + I3 + I4 + I5 + I6 = 1
+}
+
+LINEAR seqinitial { : sets initial equilibrium
+	~          I1*bi1 + C2*b01 - C1*(    fi1+f01) = 0
+	~ C1*f01 + I2*bi2 + C3*b02 - C2*(b01+fi2+f02) = 0
+	~ C2*f02 + I3*bi3 + C4*b03 - C3*(b02+fi3+f03) = 0
+	~ C3*f03 + I4*bi4 + C5*b04 - C4*(b03+fi4+f04) = 0
+	~ C4*f04 + I5*bi5 + O*b0O  - C5*(b04+fi5+f0O) = 0
+	~ C5*f0O + I6*bin          - O*(b0O+fin)      = 0
+
+	~          C1*fi1 + I2*b11 - I1*(    bi1+f11) = 0
+	~ I1*f11 + C2*fi2 + I3*b12 - I2*(b11+bi2+f12) = 0
+	~ I2*f12 + C3*fi3 + I4*bi3 - I3*(b12+bi3+f13) = 0
+	~ I3*f13 + C4*fi4 + I5*b14 - I4*(b13+bi4+f14) = 0
+	~ I4*f14 + C5*fi5 + I6*b1n - I5*(b14+bi5+f1n) = 0
+	
+	~ C1 + C2 + C3 + C4 + C5 + O + I1 + I2 + I3 + I4 + I5 + I6 = 1
+}
+
+PROCEDURE rates(v(mV) )
+{
+  LOCAL qt
+  qt = 2.3^((celsius-37)/10)
+
+	f01 = qt * 4 * alpha * exp(v/x1)
+	f02 = qt * 3 * alpha * exp(v/x1)
+	f03 = qt * 2 * alpha * exp(v/x1)
+	f04 = qt * 1 * alpha * exp(v/x1)
+	f0O = qt * gamma
+	f11 = qt * 4 * alpha * alfac * exp(v/x1)
+	f12 = qt * 3 * alpha * alfac * exp(v/x1)
+	f13 = qt * 2 * alpha * alfac * exp(v/x1)
+	f14 = qt * 1 * alpha * alfac * exp(v/x1)
+	f1n = qt * gamma
+	fi1 = qt * Con
+	fi2 = qt * Con * alfac
+	fi3 = qt * Con * alfac^2
+	fi4 = qt * Con * alfac^3
+	fi5 = qt * Con * alfac^4
+	fin = qt * Oon
+
+	b01 = qt * 1 * beta * exp(v/x2)
+	b02 = qt * 2 * beta * exp(v/x2)
+	b03 = qt * 3 * beta * exp(v/x2)
+	b04 = qt * 4 * beta * exp(v/x2)
+	b0O = qt * delta
+	b11 = qt * 1 * beta * exp(v/x2) / btfac
+	b12 = qt * 2 * beta * exp(v/x2) / btfac
+	b13 = qt * 3 * beta * exp(v/x2) / btfac
+	b14 = qt * 4 * beta * exp(v/x2) / btfac
+	b1n = qt * delta
+	bi1 = qt * Coff
+	bi2 = qt * Coff / (btfac)
+	bi3 = qt * Coff / (btfac^2)
+	bi4 = qt * Coff / (btfac^3)
+	bi5 = qt * Coff / (btfac^4)
+	bin = qt * Ooff
+}
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Nap.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Nap.mod
new file mode 100644
index 00000000..ef8021ec
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/Nap.mod
@@ -0,0 +1,77 @@
+:Reference : Modeled according to kinetics derived from Magistretti & Alonso 1999
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Nap
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	rates()
+	g = gbar*mInf*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		mInf = 1.0/(1+exp((v- -52.6)/-4.6)) : assuming instantaneous activation as modeled by Magistretti and Alonso
+
+		hInf = 1.0/(1+exp((v- -48.8)/10))
+		hAlpha = 2.88e-6 * vtrap(v + 17, 4.63)
+		hBeta = 6.94e-6 * vtrap(-(v + 64.4), 2.63)
+
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/SK.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/SK.mod
new file mode 100644
index 00000000..8bfa3b72
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/SK.mod
@@ -0,0 +1,56 @@
+: SK-type calcium-activated potassium current
+: Reference : Kohler et al. 1996
+
+NEURON {
+       SUFFIX SK
+       USEION k READ ek WRITE ik
+       USEION ca READ cai
+       RANGE gbar, g, ik
+}
+
+UNITS {
+      (mV) = (millivolt)
+      (mA) = (milliamp)
+      (mM) = (milli/liter)
+}
+
+PARAMETER {
+          v            (mV)
+          gbar = .000001 (mho/cm2)
+          zTau = 1              (ms)
+          ek           (mV)
+          cai          (mM)
+}
+
+ASSIGNED {
+         zInf
+         ik            (mA/cm2)
+         g	       (S/cm2)
+}
+
+STATE {
+      z   FROM 0 TO 1
+}
+
+BREAKPOINT {
+           SOLVE states METHOD cnexp
+           g  = gbar * z
+           ik   =  g * (v - ek)
+}
+
+DERIVATIVE states {
+        rates(cai)
+        z' = (zInf - z) / zTau
+}
+
+PROCEDURE rates(ca(mM)) {
+          if(ca < 1e-7){
+	              ca = ca + 1e-07
+          }
+          zInf = 1/(1 + (0.00043 / ca)^4.8)
+}
+
+INITIAL {
+        rates(cai)
+        z = zInf
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/exp1isyn.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/exp1isyn.mod
new file mode 100644
index 00000000..e8700401
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/exp1isyn.mod
@@ -0,0 +1,52 @@
+COMMENT
+Current-based version of the conductance-based model exp1syn (refer to the exp1syn.mod)
+In this model the synatic current is defined as i = g*e, whereas in the conductance based model i = g*(v - e).
+Since the current is proportional to conductance, this model may be used to report the values of conductance by recording the current.
+
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+NEURON {
+	POINT_PROCESS exp1isyn
+	RANGE tau, e, i
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(uS) = (microsiemens)
+}
+
+PARAMETER {
+	tau = 0.1 (ms) <1e-9,1e9>
+	e = 0	(mV)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	g (uS)
+}
+
+INITIAL {
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*e
+}
+
+DERIVATIVE state {
+	g' = -g/tau
+}
+
+NET_RECEIVE(weight (uS)) {
+	g = g + weight
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/exp1syn.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/exp1syn.mod
new file mode 100644
index 00000000..6763e687
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/exp1syn.mod
@@ -0,0 +1,42 @@
+NEURON {
+	POINT_PROCESS exp1syn
+	RANGE tau, e, i
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(uS) = (microsiemens)
+}
+
+PARAMETER {
+	tau = 0.1 (ms) <1e-9,1e9>
+	e = 0	(mV)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	g (uS)
+}
+
+INITIAL {
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v-e)
+}
+
+DERIVATIVE state {
+	g' = -g/tau
+}
+
+NET_RECEIVE(weight (uS)) {
+	g = g + weight
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp1syn.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp1syn.mod
new file mode 100644
index 00000000..3490c587
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp1syn.mod
@@ -0,0 +1,75 @@
+COMMENT
+A model (# 1 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp1syn
+	RANGE e, i, tau_r, p0, tau_1
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+	: tau_r = recovery time constant
+	tau_r = 100 (ms)
+	: p0  = baseline level of release probability
+	p0 = 0.3
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	g
+}
+
+INITIAL {
+	n=1
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0
+	n = n - n*p0
+		
+
+}
+
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp2syn.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp2syn.mod
new file mode 100644
index 00000000..ce1d1625
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp2syn.mod
@@ -0,0 +1,95 @@
+COMMENT
+A model (# 2 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,5) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	tau_r = time constant for vesicle replenishment
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+
+
+NEURON {
+	POINT_PROCESS stp2syn
+	RANGE e, i, p0, tau_1, tau_r0, a_FDR, tau_FDR, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+	(uS) = (microsiemens)
+
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: p0  = baseline level of release probability
+	p0 = 0.3
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 5 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = magnitude of tau_r reduction after each spike
+	a_FDR = 0.5
+
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax 
+}
+
+STATE {
+	n
+	tau_r
+	g
+}
+
+INITIAL {
+	n=1
+	tau_r=tau_r0
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+	Pmax = n*p0
+}
+
+DERIVATIVE state {
+	g' = -g/tau_1
+	n' = (1-n)/tau_r
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p0
+	tau_r = tau_r - a_FDR*tau_r
+
+}
+
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp3syn.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp3syn.mod
new file mode 100644
index 00000000..31869840
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp3syn.mod
@@ -0,0 +1,102 @@
+COMMENT
+A model (# 3 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,5,10) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	D = fraction of non-desensitized receptors
+	tau_r = time constant for vesicle replenishment
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp3syn
+	RANGE e, i, p0, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: p0  = baseline level of release probability
+	p0 = 0.3
+
+	: tau_f = facilitation time constant
+	tau_f = 1000 (ms) < 0, 1e9 >
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = magnitude of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D 
+	a_D = 0.5 
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	tau_r
+	D
+	g
+}
+
+INITIAL {
+	n=1
+	tau_r=tau_r0
+	g=0
+	D=1
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0*D
+	n = n - n*p0
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p0*n*D
+
+}
+
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp4syn.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp4syn.mod
new file mode 100644
index 00000000..1ba964be
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp4syn.mod
@@ -0,0 +1,83 @@
+COMMENT
+A model (# 4 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity. 
+The magnitude of the peak conductance is found by 
+solving Eqs (3,4) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	p = release probability
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+
+
+NEURON {
+	POINT_PROCESS stp4syn
+	RANGE e, i, tau_r, p0, tau_1,tau_f
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+	: tau_r = recovery time constant
+	tau_r = 100 (ms)
+	: p0  = baseline level of release probability
+	p0 = 0.3
+	: tau_f = facilitation time constant
+	tau_f = 1000 (ms) < 0, 1e9 >
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	p
+	g
+}
+
+INITIAL {
+	n=1
+	p=1
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+    p' = 0
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0
+	n = n - n*p0
+	p = p + p0*(1-p)
+
+}
+
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp5isyn.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp5isyn.mod
new file mode 100644
index 00000000..d6b6c105
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp5isyn.mod
@@ -0,0 +1,113 @@
+COMMENT
+Current-based version of the conductance-based model stp5syn (refer to the stp5syn.mod)
+In this model the synatic current is defined as i = g*e, whereas in the conductance based model i = g*(v - e).
+Since the current is proportional to conductance, this model may be used to report the values of conductance by recording the current.
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp5isyn
+	RANGE e, i, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D, a_i, tau_i, a_f, tau_f, pbtilde, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = amount of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D = amount of desentization
+	a_D = 0.5 
+
+	: tau_i = relaxation time for p0 
+	tau_i = 100 (ms) 
+
+	: a_i = amount of decrease of baseline probability after each spike 
+	a_i = 0.5 
+
+	: tau_f = facilitation time constant (relaxation time constant for p) 
+	tau_f = 10 (ms) 
+
+	: a_f = amount of facilitation  (increase of p after each spike)
+	a_f = 0.5 
+
+	: pbtilde = baseline level of pb
+	pbtilde = 0.5 
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax
+}
+
+STATE {
+	n
+	p
+	tau_r
+	D
+	pb
+	g
+}
+
+INITIAL {
+	n=1
+	pb=pbtilde
+	p=pb
+	tau_r=tau_r0
+	D=1
+	g=0
+
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+:	i = g*(v - e)
+	i = g*e
+	Pmax = n*p*D
+
+}
+
+DERIVATIVE state {
+	g' = -g/tau_1
+	n' = (1-n)/tau_r
+	p' = (pb-p)/tau_f
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+	pb' = (pbtilde-pb)/tau_i
+
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p
+	p = p + a_f*(1-p)
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p*n*D
+	pb = pb - a_i*pb
+
+}
+
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp5syn.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp5syn.mod
new file mode 100644
index 00000000..621fe9e1
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/stp5syn.mod
@@ -0,0 +1,131 @@
+COMMENT
+A model (# 5 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,4,5,8,10) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+This file could be used to simulate simpler models by setting to zero the parameters in the unused equations(e.g, a_D,a_i,a_f).
+
+State variables:
+
+	n = fraction of available vesicles 
+	D = fraction of non-desensitized receptors
+	tau_r = time constant for vesicle replenishment
+	pb = baseline vesicle release probability
+	p = vesicle release probability
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where w is the static synaptic weight and Pmax is the activity-dependent factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1.
+
+Implemented by Sergey L. Gratiy,
+
+ENDCOMMENT
+
+: Declaring parameters as RANGE allows them to change as a function of a position alogn the cell
+NEURON {
+	POINT_PROCESS stp5syn
+	RANGE e, i, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D, a_i, tau_i, a_f, tau_f, pbtilde, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+: Declaration of the default values of parameters
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = amount of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D = amount of desentization
+	a_D = 0.5 
+
+	: tau_i = relaxation time for p0 
+	tau_i = 100 (ms) 
+
+	: a_i = amount of decrease of baseline probability after each spike 
+	a_i = 0.5 
+
+	: tau_f = facilitation time constant (relaxation time constant for p) 
+	tau_f = 10 (ms) 
+
+	: a_f = amount of facilitation  (increase of p after each spike)
+	a_f = 0.5 
+
+	: pbtilde = baseline level of p0
+	pbtilde = 0.5 
+
+}
+: Declaration of dependent and external variables that collectively are called ASSIGNED
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax
+}
+
+: Declaration of the state variables
+STATE {
+	n
+	p
+	tau_r
+	D
+	pb
+	g
+}
+
+: Initial conditions for the state variables
+INITIAL {
+	n=1
+	p=1
+	tau_r=tau_r0
+	D=1
+	pb=pbtilde
+	g=0
+
+}
+
+: Integration method + assignment statements
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+	Pmax = n*p*D
+}
+
+: Definition of teh dynamics between the presynaptic activations
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	p' = (pb-p)/tau_f
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+	pb' = (pbtilde-pb)/tau_i
+	g' = -g/tau_1
+
+}
+
+: This block defines what happens to the state variables at the moment presynaptic activation
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p
+	p = p + a_f*(1-p)
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p*n*D
+	pb = pb - a_i*pb
+
+}
+
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/vecevent.mod b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/vecevent.mod
new file mode 100644
index 00000000..503dfd2e
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/mechanisms/modfiles/vecevent.mod
@@ -0,0 +1,71 @@
+:  Vector stream of events
+
+NEURON {
+	ARTIFICIAL_CELL VecStim
+}
+
+ASSIGNED {
+	index
+	etime (ms)
+	space
+}
+
+INITIAL {
+	index = 0
+	element()
+	if (index > 0) {
+		net_send(etime - t, 1)
+	}
+}
+
+NET_RECEIVE (w) {
+	if (flag == 1) {
+		net_event(t)
+		element()
+		if (index > 0) {
+			net_send(etime - t, 1)
+		}
+	}
+}
+
+VERBATIM
+extern double* vector_vec();
+extern int vector_capacity();
+extern void* vector_arg();
+ENDVERBATIM
+
+PROCEDURE element() {
+VERBATIM	
+  { void* vv; int i, size; double* px;
+	i = (int)index;
+	if (i >= 0) {
+		vv = *((void**)(&space));
+		if (vv) {
+			size = vector_capacity(vv);
+			px = vector_vec(vv);
+			if (i < size) {
+				etime = px[i];
+				index += 1.;
+			}else{
+				index = -1.;
+			}
+		}else{
+			index = -1.;
+		}
+	}
+  }
+ENDVERBATIM
+}
+
+PROCEDURE play() {
+VERBATIM
+	void** vv;
+	vv = (void**)(&space);
+	*vv = (void*)0;
+	if (ifarg(1)) {
+		*vv = vector_arg(1);
+	}
+ENDVERBATIM
+}
+        
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/morphologies/Pvalb_470522102_m.swc b/docs/tutorial/03_opt_advanced_spiking_inputs/components/morphologies/Pvalb_470522102_m.swc
new file mode 100644
index 00000000..c2700822
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/morphologies/Pvalb_470522102_m.swc
@@ -0,0 +1,1966 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): K:/MouseCellTypes/176847.04.02.01/176847.04.02.01_MDF.swc_sorted.swc
+# id,type,x,y,z,r,pid
+1 1 237.4944 233.8336 35.28 5.9212 -1
+2 3 232.5043 230.7745 35.28 0.2669 1
+3 3 231.4495 231.199 35.28 0.2796 2
+4 3 230.3513 231.5181 35.28 0.2796 3
+5 3 229.2084 231.5159 35.28 0.2542 4
+6 3 228.0793 231.3282 35.28 0.2542 5
+7 3 226.9616 231.0846 35.28 0.2669 6
+8 3 225.8176 231.0617 35.28 0.3305 7
+9 3 224.6816 230.9313 35.2803 0.4576 8
+10 3 223.2768 230.103 35.2825 0.4068 9
+11 3 222.4268 229.3377 35.2898 0.3813 10
+12 3 221.523 228.6364 35.3265 0.3051 11
+13 3 220.8629 227.775 35.6944 0.4322 12
+14 3 220.4488 226.75 35.6216 0.4322 13
+15 3 220.1548 225.6803 34.9891 0.4068 14
+16 3 219.823 224.6198 34.3207 0.3305 15
+17 3 219.6572 223.5159 33.8643 0.2542 16
+18 3 219.7075 222.4039 33.2562 0.2288 17
+19 3 219.9523 221.3102 33.0162 0.2669 18
+20 3 220.5003 220.3138 32.8628 0.3178 19
+21 3 220.9121 219.2648 32.3744 0.3432 20
+22 3 220.7828 218.1482 31.9312 0.3559 21
+23 3 220.2623 217.1312 31.9368 0.3686 22
+24 3 220.2383 215.9895 32.0306 0.4068 23
+25 3 220.7977 214.4005 32.426 0.2288 24
+26 3 220.7211 213.2908 31.92 0.2796 25
+27 3 220.53 212.1754 31.6366 0.3305 26
+28 3 220.3333 211.0783 31.2928 0.3178 27
+29 3 219.7956 210.0899 31.5381 0.2924 28
+30 3 219.2911 209.1106 31.6926 0.2796 29
+31 3 219.0497 208.0135 31.1898 0.3051 30
+32 3 218.7763 206.921 30.8129 0.3178 31
+33 3 218.464 205.8205 30.77 0.2924 32
+34 3 218.2889 204.7039 30.5665 0.2542 33
+35 3 218.2821 203.5714 30.5469 0.2669 34
+36 3 218.321 202.4342 30.8241 0.3051 35
+37 3 218.5555 201.3246 31.1539 0.3178 36
+38 3 218.6104 200.208 31.7103 0.2924 37
+39 3 218.2374 199.159 31.2561 0.2924 38
+40 3 217.7867 198.1259 30.7882 0.3178 39
+41 3 217.2685 197.1112 30.5396 0.3305 40
+42 3 216.8612 196.156 29.3952 0.3051 41
+43 3 216.5695 195.0589 29.6587 0.3305 42
+44 3 216.0856 194.0224 29.741 0.3686 43
+45 3 214.9896 193.582 29.5781 0.2034 44
+46 3 214.1545 192.8349 29.1992 0.2161 45
+47 3 213.5436 191.9152 28.5219 0.1907 46
+48 3 212.808 191.0903 27.9535 0.1652 47
+49 3 212.3847 190.2243 26.7529 0.1907 48
+50 3 212.3012 189.141 26.1708 0.2415 49
+51 3 211.8299 188.1388 25.5808 0.2924 50
+52 3 211.6045 187.1424 24.353 0.2924 51
+53 3 211.8516 186.0933 23.4917 0.2542 52
+54 3 211.7727 184.9791 24.0668 0.2415 53
+55 3 210.9628 184.2446 23.9061 0.2415 54
+56 3 210.218 183.5571 23.1552 0.2796 55
+57 3 209.8805 182.6064 21.8562 0.2924 56
+58 3 209.6472 181.5928 21.107 0.2924 57
+59 3 209.4355 180.4889 21.1991 0.2669 58
+60 3 209.0706 179.4593 20.4764 0.2161 59
+61 3 208.7606 178.3965 20.16 0.178 60
+62 3 208.232 177.5488 20.16 0.178 61
+63 3 207.3752 177.1427 19.32 0.2161 62
+64 3 206.9748 176.1005 18.9241 0.2669 63
+65 3 206.3364 175.1773 18.48 0.2796 64
+66 3 205.9452 174.1111 18.48 0.2924 65
+67 3 205.4041 173.1158 18.2104 0.2669 66
+68 3 204.9098 172.1583 17.3872 0.2542 67
+69 3 204.7657 171.0383 17.1268 0.2161 68
+70 3 204.2257 170.0808 16.8725 0.2288 69
+71 3 203.1778 169.6403 16.8 0.2542 70
+72 3 202.218 169.0477 16.5819 0.3051 71
+73 3 201.3737 168.3247 16.1622 0.3051 72
+74 3 201.344 167.2093 15.7676 0.2669 73
+75 3 200.6576 166.5664 14.84 0.2161 74
+76 3 215.9494 194.0602 30.8 0.178 44
+77 3 215.7618 193.6575 30.8 0.1907 76
+78 3 215.7584 192.5135 30.8 0.2161 77
+79 3 215.4381 191.4347 30.8 0.2288 78
+80 3 215.064 190.3547 30.8 0.2161 79
+81 3 214.8638 189.229 30.8 0.2034 80
+82 3 214.7288 188.0953 30.8 0.178 81
+83 3 214.7391 186.9513 30.8 0.1525 82
+84 3 215.0354 185.868 31.0607 0.1398 83
+85 3 215.2894 184.8304 32.0354 0.1398 84
+86 3 215.6955 183.8339 32.737 0.1652 85
+87 3 215.9929 182.7346 32.76 0.178 86
+88 3 216.2858 181.634 32.76 0.1907 87
+89 3 216.5066 180.5587 32.2216 0.1907 88
+90 3 216.8406 179.505 31.92 0.178 89
+91 3 216.9024 178.3633 31.92 0.178 90
+92 3 216.9024 177.2193 31.92 0.178 91
+93 3 216.8258 176.0833 31.9827 0.2161 92
+94 3 216.6072 174.9965 32.5234 0.2542 93
+95 3 216.5592 173.8891 32.9048 0.2924 94
+96 3 216.5592 172.7795 33.488 0.2796 95
+97 3 216.5592 171.6366 33.6 0.2542 96
+98 3 216.5592 170.4926 33.6 0.2161 97
+99 3 216.51 169.3566 33.7218 0.2034 98
+100 3 216.4448 168.2229 33.88 0.1907 99
+101 3 216.4448 167.0812 33.9674 0.2161 100
+102 3 216.4448 165.9555 34.4448 0.2415 101
+103 3 216.4448 164.8744 35.0708 0.2415 102
+104 3 216.4448 163.7991 35.84 0.1907 103
+105 3 216.4448 162.6551 35.84 0.1525 104
+106 3 216.4448 161.5111 35.84 0.1398 105
+107 3 216.454 160.3671 35.84 0.1652 106
+108 3 216.5992 159.2334 35.84 0.178 107
+109 3 216.6736 158.0962 35.8672 0.1907 108
+110 3 216.6736 156.9591 36.1334 0.178 109
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diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/morphologies/Scnn1a_473845048_m.swc b/docs/tutorial/03_opt_advanced_spiking_inputs/components/morphologies/Scnn1a_473845048_m.swc
new file mode 100644
index 00000000..84e566f9
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/morphologies/Scnn1a_473845048_m.swc
@@ -0,0 +1,3786 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): K:/t301/production data/177300.01.02.01/reconstruction/Scnn1a-Tg3-Cre_Ai14_IVSCC_-177300.01.02.01___DS.swc
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diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/AMPA_ExcToExc.json b/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/AMPA_ExcToExc.json
new file mode 100644
index 00000000..c7585403
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/AMPA_ExcToExc.json
@@ -0,0 +1,6 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 1.0,
+  "tau2": 3.0,
+  "erev": 0.0
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/AMPA_ExcToInh.json b/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/AMPA_ExcToInh.json
new file mode 100644
index 00000000..43887996
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/AMPA_ExcToInh.json
@@ -0,0 +1,6 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 0.1,
+  "tau2": 0.5,
+  "erev": 0.0
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/GABA_InhToExc.json b/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/GABA_InhToExc.json
new file mode 100644
index 00000000..702ce9b4
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/GABA_InhToExc.json
@@ -0,0 +1,7 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 2.7,
+  "tau2": 15.0,
+  "erev": -70.0
+}
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/GABA_InhToInh.json b/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/GABA_InhToInh.json
new file mode 100644
index 00000000..ed4130ab
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/components/synaptic_models/GABA_InhToInh.json
@@ -0,0 +1,7 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 0.2,
+  "tau2": 8.0,
+  "erev": -70.0
+}
+
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/config.csv_spikes.json b/docs/tutorial/03_opt_advanced_spiking_inputs/config.csv_spikes.json
new file mode 100644
index 00000000..3ba06e88
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/config.csv_spikes.json
@@ -0,0 +1,69 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_csv_spikes",
+    "$INPUT_DIR": "$BASE_DIR/inputs",
+    "$NETWORK_DIR": "$BASE_DIR/network_csv_spikes",
+    "$COMPONENT_DIR": "$BASE_DIR/components"
+  },
+
+  "run": {
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15,
+    "nsteps_block": 5000
+  },
+
+  "target_simulator":"NEURON",
+
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80
+  },
+
+  "inputs": {
+    "LGN_spikes_sonata": {
+      "input_type": "spikes",
+      "module": "csv",
+      "input_file": "$INPUT_DIR/custom_spikes.csv",
+      "node_set": "inputs"
+    }
+  },
+
+  "output":{
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+
+  "components": {
+    "morphologies_dir": "$COMPONENT_DIR/morphologies",
+    "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+    "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+    "biophysical_neuron_models_dir": "$COMPONENT_DIR/biophysical_neuron_templates",
+    "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates",
+    "filter_models_dir": "$COMPONENT_DIR/filter_models"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/cortex_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/cortex_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/inputs_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/inputs_node_types.csv"
+      }
+    ],
+
+    "edges": [
+      {
+        "edges_file": "$NETWORK_DIR/inputs_cortex_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/inputs_cortex_edge_types.csv"
+      }
+    ]
+  }
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/config.nwb_inputs.json b/docs/tutorial/03_opt_advanced_spiking_inputs/config.nwb_inputs.json
new file mode 100644
index 00000000..5754d536
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/config.nwb_inputs.json
@@ -0,0 +1,122 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_nwb_inputs",
+    "$INPUT_DIR": "$BASE_DIR/inputs",
+    "$NETWORK_DIR": "$BASE_DIR/network_nwb_inputs",
+    "$COMPONENT_DIR": "$BASE_DIR/components"
+  },
+
+  "run": {
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15,
+    "nsteps_block": 5000
+  },
+
+  "target_simulator":"NEURON",
+
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80
+  },
+
+  "inputs": {
+    "LGN_spikes_sonata": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$INPUT_DIR/external_spikes.h5",
+      "node_set": "LGN"
+    },
+
+    "VISl_spikes_nwb": {
+      "input_type": "spikes",
+      "module": "ecephys_probe",
+      "input_file": "./ecephys_cache_dir/session_715093703/session_715093703.nwb",
+      "node_set": "VISl",
+      "interval": {
+        "interval_name": "drifting_gratings",
+        "interval_index": 0,
+        "temporal_frequency": 4.0,
+        "orientation": 90
+      },
+      "mapping": "sample",
+      "units": {
+        "location": "VISl"
+      }
+    },
+    "Hipp_spikes_nwb": {
+      "input_type": "spikes",
+      "module": "ecephys_probe",
+      "input_file": "./ecephys_cache_dir/session_715093703/session_715093703.nwb",
+      "node_set": "Hippocampus",
+      "interval": {
+        "interval_name": "drifting_gratings",
+        "interval_index": 0,
+        "temporal_frequency": 4.0,
+        "orientation": 90
+      },
+      "mapping": "sample",
+      "units": {
+        "location": ["CA1", "CA2", "CA3", "Po"]
+      }
+    }
+  },
+
+  "output":{
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+
+  "components": {
+    "morphologies_dir": "$COMPONENT_DIR/morphologies",
+    "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+    "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+    "biophysical_neuron_models_dir": "$COMPONENT_DIR/biophysical_neuron_templates",
+    "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/VISp_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/VISp_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/LGN_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/LGN_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/VISl_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/VISl_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/Hippocampus_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/Hippocampus_node_types.csv"
+      }
+    ],
+
+    "edges": [
+      {
+        "edges_file": "$NETWORK_DIR/VISp_VISp_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/VISp_VISp_edge_types.csv",
+        "enabled": false
+      },
+      {
+        "edges_file": "$NETWORK_DIR/LGN_VISp_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/LGN_VISp_edge_types.csv"
+      },
+      {
+        "edges_file": "$NETWORK_DIR/VISl_VISp_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/VISl_VISp_edge_types.csv"
+      },
+      {
+        "edges_file": "$NETWORK_DIR/Hippocampus_VISp_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/Hippocampus_VISp_edge_types.csv"
+      }
+    ]
+  }
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/config.spikes_generator.json b/docs/tutorial/03_opt_advanced_spiking_inputs/config.spikes_generator.json
new file mode 100644
index 00000000..09301226
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/config.spikes_generator.json
@@ -0,0 +1,74 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_spikes_generator",
+    "$INPUT_DIR": "$BASE_DIR/inputs",
+    "$NETWORK_DIR": "$BASE_DIR/network_spikes_generator",
+    "$COMPONENT_DIR": "$BASE_DIR/components"
+  },
+
+  "run": {
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15,
+    "nsteps_block": 5000
+  },
+
+  "target_simulator":"NEURON",
+
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80
+  },
+
+  "inputs": {
+    "LGN_spikes_sonata": {
+      "input_type": "spikes",
+      "module": "function",
+      "spikes_function": "my_spikes_generator",
+      "node_set": "LGN"
+    }
+  },
+
+  "output":{
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+
+  "components": {
+    "morphologies_dir": "$COMPONENT_DIR/morphologies",
+    "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+    "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+    "biophysical_neuron_models_dir": "$COMPONENT_DIR/biophysical_neuron_templates",
+    "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates",
+    "filter_models_dir": "$COMPONENT_DIR/filter_models"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/VISp_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/VISp_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/LGN_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/LGN_node_types.csv"
+      }
+    ],
+
+    "edges": [
+      {
+        "edges_file": "$NETWORK_DIR/VISp_VISp_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/VISp_VISp_edge_types.csv",
+        "enabled": false
+      },
+      {
+        "edges_file": "$NETWORK_DIR/LGN_VISp_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/LGN_VISp_edge_types.csv"
+      }
+    ]
+  }
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/config.spont_syns.json b/docs/tutorial/03_opt_advanced_spiking_inputs/config.spont_syns.json
new file mode 100644
index 00000000..ddc9f046
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/config.spont_syns.json
@@ -0,0 +1,71 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_spont_syns",
+    "$INPUT_DIR": "$BASE_DIR/inputs",
+    "$NETWORK_DIR": "$BASE_DIR/network_spont_syns",
+    "$COMPONENT_DIR": "$BASE_DIR/components"
+  },
+
+  "run": {
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15,
+    "nsteps_block": 5000
+  },
+
+  "target_simulator":"NEURON",
+
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80
+  },
+
+  "inputs": {
+    "syn_activity": {
+      "input_type": "syn_activity",
+      "module": "syn_activity",
+      "precell_filter": {
+          "population": "VISp",
+          "ei": "e"
+      },
+      "postcell_filter": {
+        "population": "VISp",
+        "ei": "i"
+      },
+      "timestamps": [500.0, 1000.0, 1500.0, 2000.0, 2500.0, 3000.0, 3500.0]
+    }
+  },
+
+  "output":{
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+
+  "components": {
+    "morphologies_dir": "$COMPONENT_DIR/morphologies",
+    "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+    "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+    "biophysical_neuron_models_dir": "$COMPONENT_DIR/biophysical_neuron_templates",
+    "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/VISp_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/VISp_node_types.csv"
+      }
+    ],
+
+    "edges": [
+      {
+        "edges_file": "$NETWORK_DIR/VISp_VISp_edges.h5",
+        "edge_types_file": "$NETWORK_DIR/VISp_VISp_edge_types.csv"
+      }
+    ]
+  }
+}
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/inputs/custom_spikes.csv b/docs/tutorial/03_opt_advanced_spiking_inputs/inputs/custom_spikes.csv
new file mode 100644
index 00000000..596ddec6
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/inputs/custom_spikes.csv
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diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/inputs/external_spikes.h5 b/docs/tutorial/03_opt_advanced_spiking_inputs/inputs/external_spikes.h5
new file mode 100644
index 00000000..e7b3aad8
Binary files /dev/null and b/docs/tutorial/03_opt_advanced_spiking_inputs/inputs/external_spikes.h5 differ
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/inputs/simple_spikes.csv b/docs/tutorial/03_opt_advanced_spiking_inputs/inputs/simple_spikes.csv
new file mode 100644
index 00000000..f6a24110
--- /dev/null
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diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.csv_spikes.py b/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.csv_spikes.py
new file mode 100644
index 00000000..ab16d18f
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.csv_spikes.py
@@ -0,0 +1,23 @@
+import sys
+from bmtk.simulator import bionet
+
+
+def run(config_file):
+    conf = bionet.Config.from_json(config_file, validate=True)
+    conf.build_env()
+
+    net = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=net)
+    sim.run()
+
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    # Find the appropriate config.json file
+    if __file__ != sys.argv[-1]:
+        config_path = sys.argv[-1]
+        run(config_path)
+    else:
+        run('config.simple_spikes.json')
+   
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.nwb_inputs.py b/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.nwb_inputs.py
new file mode 100644
index 00000000..e8b3f99e
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.nwb_inputs.py
@@ -0,0 +1,24 @@
+import sys
+from bmtk.simulator import bionet
+
+
+def run(config_file):
+    conf = bionet.Config.from_json(config_file, validate=True)
+    conf.build_env()
+
+    net = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=net)
+    sim.run()
+
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    # Find the appropriate config.json file
+    if __file__ != sys.argv[-1]:
+        config_path = sys.argv[-1]
+        run(config_path)
+    else:
+        run('config.nwb_inputs.json')
+        # run('config.simulation.units_map.json')
+        # run('config.simulation.multi_session.json')       
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.spikes_generator.py b/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.spikes_generator.py
new file mode 100644
index 00000000..a19d9ffb
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.spikes_generator.py
@@ -0,0 +1,36 @@
+import sys
+from bmtk.simulator import bionet
+from bmtk.simulator.bionet.io_tools import io
+from bmtk.simulator.bionet import spikes_generator
+import numpy as np
+
+
+@spikes_generator
+def my_spikes_generator(node, sim):
+    io.log_info(f'Generating custom spike trains for {node.node_id} from {node.population_name}')
+    if node['pop_name'] == 'tON':
+        return np.arange(100.0, sim.tstop, step=sim.dt*10)
+    elif node['pop_name'] == 'tOFF':
+        return np.arange(100.0, sim.tstop, step=sim.dt*20)
+    else:
+        return []
+
+def run(config_file):
+    conf = bionet.Config.from_json(config_file, validate=True)
+    conf.build_env()
+
+    net = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=net)
+    sim.run()
+
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    # Find the appropriate config.json file
+    if __file__ != sys.argv[-1]:
+        config_path = sys.argv[-1]
+        run(config_path)
+    else:
+        run('config.spikes_generator.json')
+   
diff --git a/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.spont_syns.py b/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.spont_syns.py
new file mode 100644
index 00000000..1c9ba5d6
--- /dev/null
+++ b/docs/tutorial/03_opt_advanced_spiking_inputs/run_bmtk.spont_syns.py
@@ -0,0 +1,23 @@
+import sys
+from bmtk.simulator import bionet
+
+
+def run(config_file):
+    conf = bionet.Config.from_json(config_file, validate=True)
+    conf.build_env()
+
+    net = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=net)
+    sim.run()
+
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    # Find the appropriate config.json file
+    if __file__ != sys.argv[-1]:
+        config_path = sys.argv[-1]
+        run(config_path)
+    else:
+        run('config.spont_syns.json')
+   
diff --git a/docs/tutorial/04_opt_advanced_inputs/Ch_advanced_stim.ipynb b/docs/tutorial/04_opt_advanced_inputs/Ch_advanced_stim.ipynb
new file mode 100644
index 00000000..e5672d87
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/Ch_advanced_stim.ipynb
@@ -0,0 +1,1421 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ea250b77-a92e-4946-9b2b-fefcae6f16d2",
+   "metadata": {},
+   "source": [
+    "# Advanced Stimulus Options\n",
+    "\n",
+    "In this tutorial, we will explain additional options for loading and generating advanced current-clamp wave forms, applying voltage clamps to cells during simulation, imporyting experimental sweeps from the Allen Cell-Types Database and adding extracellular stimulation to your simulated network.\n",
+    "\n",
+    "**Note** - scripts and files for running this tutorial can be found in the directory [04_opt_advanced_inputs/](https://github.com/AllenInstitute/bmtk/tree/develop/docs/tutorial/04_opt_advanced_inputs)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7f4aa205-0e7a-4370-8db9-997a12bafe9b",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## Contents\n",
+    "1. [Example: Advanced options when using current-clamp stimulation](#example-advance-icalmp)\n",
+    "2. [Example: Using current-clamp with complex and customized waveforms](#example-iclamp-waveforms)\n",
+    "3. [Example: Applying voltage-clamps to cells during simulation](#example-voltage-clamps)\n",
+    "4. [Example: Using sweep data from Allen Cell-Types In-vivo experiments](#example-cell-types)\n",
+    "5. [Example: Stimulating a network with extracellular field potentials](#example-xstim)\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "71f5e6f7-a04e-4c31-98a2-026cdfb6655a",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "## 1. Example: Advanced IClamp Options <a class=\"anchor\" id=\"example-advance-icalmp\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eb8682bf-5e2a-44ee-8d8d-9d73edd62f9b",
+   "metadata": {},
+   "source": [
+    "By default you can insert a simple step current into your simulation by adding to the \"inputs\" section of your SONATA configuration file. For example, say we want to insert a .100 nA injection at for 1000 ms into the soma of our first cell:\n",
+    "\n",
+    "```json\n",
+    "\"inputs\": {\n",
+    "    \"current_clamp\": {\n",
+    "        \"input_type\": \"clamp\",\n",
+    "        \"module\": \"IClamp\",\n",
+    "        \"node_set\": {\n",
+    "            \"population\": \"net\"\n",
+    "            \"node_id\": 0\n",
+    "        },\n",
+    "        \"amp\": 0.1000,\n",
+    "        \"delay\": 500.0,\n",
+    "        \"duration\": 1000.0,\n",
+    "        \"section_name\": \"soma\",\n",
+    "        \"section_index\": 0,\n",
+    "        \"section_dist\": 0.5\n",
+    "    }\n",
+    "}\n",
+    "```\n",
+    "* **input_typ** and **module** should always be set to values `clamp` and `IClamp`, respecitvely.\n",
+    "* The **node_set** specifies what cell(s) we want to apply clamp to. In this case only cell with node-id #0 in the \"net\" population of cells.\n",
+    "* **amp** is the amplitude of the clamp to apply, in nA.\n",
+    "* **delay** and **duration** tells us when to start the clamp and how long to apply it for, both in ms. In this case it will be a current from 500 - 1500 ms after start of simulation.\n",
+    "* **section_name**, **section_index**, and **section_dist** tells us exactly where on the cell to place the clamp. In this case at the center of the soma. (*If you leave section_index and section_dist blank BMTK will attempt to find a random avaialble place where to insert the clamp*)\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    " NOTE: For PoinNet users section_name, section_index and section_dist is not applicable and can be removed.\n",
+    "</div>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "192123e0-d03d-4388-a6dd-afc5e47163d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-05-05 10:30:21,328 [INFO] Created log file\n",
+      "2024-05-05 10:30:21,425 [INFO] Building cells.\n",
+      "2024-05-05 10:30:22,432 [INFO] Building recurrent connections\n",
+      "2024-05-05 10:30:22,441 [INFO] Running simulation for 2000.000 ms with the time step 0.100 ms\n",
+      "2024-05-05 10:30:22,442 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-05-05 10:30:22,443 [INFO] Block save every 5000 steps\n",
+      "2024-05-05 10:30:23,460 [INFO]     step:5000 t_sim:500.00 ms\n",
+      "2024-05-05 10:30:24,561 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-05-05 10:30:25,690 [INFO]     step:15000 t_sim:1500.00 ms\n",
+      "2024-05-05 10:30:26,812 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-05-05 10:30:26,836 [INFO] Simulation completed in 4.394 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.current_clamp.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "34290b9c-9e00-4773-9714-ecf597d0390e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.compartment import plot_traces\n",
+    "_ = plot_traces(config_file='config.current_clamp.json',  node_ids=range(5), report_name='membrane_potential')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d3d422c-8ec2-43cb-a4b7-0201d062624f",
+   "metadata": {},
+   "source": [
+    "#### Selecting multiple cells\n",
+    "\n",
+    "In the above cells #1-4 have a flat trace since we only applied the current to cell #0. If you want to apply the same current to a specific population of cells you can use the **node_set** option to filter according to any available attributes. For example, say we want to apply the current cells in our network that have **model_type=biophysical**:\n",
+    "\n",
+    "```json\n",
+    "\"current_clamp\": {\n",
+    "    \"input_type\": \"current_clamp\",\n",
+    "    \"module\": \"IClamp\",\n",
+    "    \"node_set\": {\n",
+    "        \"population\": \"net\", \n",
+    "        \"model_type\": \"biophysical\"\n",
+    "    },\n",
+    "    \"amp\": 0.1000,\n",
+    "    \"delay\": 500.0,\n",
+    "    \"duration\": 1000.0,\n",
+    "    \"section_name\": \"soma\"\n",
+    "}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "41309ea0-4432-4c78-88bc-872b26ebde4e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-05-05 10:38:22,112 [INFO] Created log file\n",
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-05-05 10:38:22,130 [INFO] Building cells.\n",
+      "2024-05-05 10:38:23,128 [INFO] Building recurrent connections\n",
+      "2024-05-05 10:38:23,141 [INFO] Running simulation for 2000.000 ms with the time step 0.100 ms\n",
+      "2024-05-05 10:38:23,142 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-05-05 10:38:23,143 [INFO] Block save every 5000 steps\n",
+      "2024-05-05 10:38:24,566 [INFO]     step:5000 t_sim:500.00 ms\n",
+      "2024-05-05 10:38:25,905 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-05-05 10:38:27,381 [INFO]     step:15000 t_sim:1500.00 ms\n",
+      "2024-05-05 10:38:28,682 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-05-05 10:38:28,700 [INFO] Simulation completed in 5.559 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.current_clamp_allcells.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "7472d4d5-754e-4179-b6ce-20816ba48272",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.compartment import plot_traces\n",
+    "_ = plot_traces(config_file='config.current_clamp.json',  node_ids=range(5), report_name='membrane_potential')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40176a68-188b-4f2f-9a99-2fa8f9cf4112",
+   "metadata": {},
+   "source": [
+    "#### Selecting different placement\n",
+    "\n",
+    "Besides the `soma`, most morphologically detailed will also give you options to place a clamp at the `axon`, `dend` (aka `basal`, the  basal dendrites), or the `apic` (the apical dendrites). However unlike the `soma`, these other sections may be split into hundreds of different **section_index** (aka branches and compartments). If you do not know the specific section index for where you want to place the clamp you can use specify a range (in microns from the soma) of where to find select the current.\n",
+    "\n",
+    "For example if we want to place the current at a random location on the apical or basal dendrites that is atleast 500 um away from the soma\n",
+    "\n",
+    "```json\n",
+    "\"inputs\": {\n",
+    "    \"current_clamp_apic\": {\n",
+    "    \"input_type\": \"current_clamp\",\n",
+    "    \"module\": \"IClamp\",\n",
+    "    \"node_set\": {\n",
+    "        \"population\": \"net\", \n",
+    "        \"node_id\": [0]\n",
+    "    },\n",
+    "    \"amp\": 0.1000,\n",
+    "    \"delay\": 500.0,\n",
+    "    \"duration\": 1000.0,\n",
+    "    \"section_name\": [\"dend\", \"apic\"],\n",
+    "    \"section_index\": [500.0, 1.0e20]\n",
+    "    }\n",
+    "}\n",
+    "```\n",
+    "* We are trying to find any section that is (500, $\\infty$) away from the soma. However python doesn't handle infinity values very well so we just use a distance, 1e20, that we know will cover all feasible segments\n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    " WARNING: As metioned before this won't work on point-neurons or neurons with only a soma. Some models may not have an \"apic\" section and would thus fail.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "46e4eeaa-03c5-4b3e-b5ca-f87816907ffb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-05-05 11:49:01,014 [INFO] Created log file\n",
+      "2024-05-05 11:49:01,122 [INFO] Building cells.\n",
+      "2024-05-05 11:49:02,108 [INFO] Building recurrent connections\n",
+      "2024-05-05 11:49:02,125 [INFO] Running simulation for 2000.000 ms with the time step 0.100 ms\n",
+      "2024-05-05 11:49:02,127 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-05-05 11:49:02,128 [INFO] Block save every 5000 steps\n",
+      "2024-05-05 11:49:03,210 [INFO]     step:5000 t_sim:500.00 ms\n",
+      "2024-05-05 11:49:04,225 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-05-05 11:49:05,562 [INFO]     step:15000 t_sim:1500.00 ms\n",
+      "2024-05-05 11:49:06,625 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-05-05 11:49:06,635 [INFO] Simulation completed in 4.51 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.current_clamp_apic.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "6b89f09d-781b-412d-8331-d13f6d0842e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.compartment import plot_traces\n",
+    "_ = plot_traces(config_file='config.current_clamp_apic.json',  node_ids=range(5), report_name='membrane_potential')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ef02573a-673e-413b-acaa-59674e22c18b",
+   "metadata": {},
+   "source": [
+    "### Adding multiple Clamps\n",
+    "\n",
+    "If you need to add multiple current-clamps in sequence or in parallel to you simulation you can easily do it by adding multiple sections to the \"inputs\" sections:\n",
+    "\n",
+    "```json\n",
+    "\"inputs\": {\n",
+    "    \"current_clamp_1\": {\n",
+    "        \"input_type\": \"current_clamp\",\n",
+    "        \"module\": \"IClamp\",\n",
+    "        \"node_set\": {\n",
+    "            \"population\": \"net\", \n",
+    "            \"node_id\": [0]\n",
+    "        },\n",
+    "        \"amp\": 0.1500,\n",
+    "        \"delay\": 500.0,\n",
+    "        \"section_name\": \"soma\"\n",
+    "    },\n",
+    "    \"current_clamp_2\": {\n",
+    "        \"input_type\": \"current_clamp\",\n",
+    "        \"module\": \"IClamp\",\n",
+    "        \"node_set\": {\n",
+    "            \"population\": \"net\", \n",
+    "            \"node_id\": [0]\n",
+    "        },\n",
+    "        \"amp\": 0.1750,\n",
+    "        \"delay\": 1500.0,\n",
+    "        \"duration\": 500.0,\n",
+    "        \"section_name\": \"soma\"\n",
+    "    },\n",
+    "    \"current_clamp_3\": {\n",
+    "        \"input_type\": \"current_clamp\",\n",
+    "        \"module\": \"IClamp\",\n",
+    "        \"node_set\": {\n",
+    "            \"population\": \"net\", \n",
+    "            \"node_id\": [0]\n",
+    "        },\n",
+    "        \"amp\": 0.2000,\n",
+    "        \"delay\": 2500.0,\n",
+    "        \"duration\": 500.0,\n",
+    "        \"section_name\": \"soma\"\n",
+    "    }\n",
+    "}\n",
+    "```\n",
+    "\n",
+    "#### As a list\n",
+    "\n",
+    "However if you are applying clamps to the same **node_set** and **section** it is also possible to set **amp**, **duration**, and **delay** as a list. The main difference is that we must set the **module** to value `list`.\n",
+    "\n",
+    "```json\n",
+    "\"inputs\": {\n",
+    "    \"current_clamp_list\": {\n",
+    "        \"input_type\": \"current_clamp\",\n",
+    "        \"module\": \"list\",\n",
+    "        \"node_set\": {\n",
+    "            \"population\": \"net\", \n",
+    "            \"model_type\": \"biophysical\"\n",
+    "        },\n",
+    "        \"amp\": [0.1500, 0.1750, 0.2000],\n",
+    "        \"delay\": [500.0, 1500.0, 2500.0],\n",
+    "        \"duration\": [500.0, 500.0, 500.0]\n",
+    "        \"section_name\": \"soma\"\n",
+    "    }\n",
+    "}\n",
+    "```\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "601677ed-863b-4fbb-bad6-245dd0dec2e9",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "## 2. Example: Complex current-clamp waveforms <a class=\"anchor\" id=\"example-iclamp-waveforms\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "04a33110-4561-4fe8-a07e-6e62a22e2833",
+   "metadata": {},
+   "source": [
+    "In the above example we inserted a current clamp as single or a series of step-currents. However you may want to use another input form like a wave or a gradual current which, if needed to implement in the above, would be very infeasbile. Luckily, BMTK also allows us to save our current function into a csv file which can contain hundreds to thousand of individual points differentiating how the current will change at each step of time.\n",
+    "\n",
+    "Implementing this is done in much the same way as in the example above with two exceptions:\n",
+    "1. The **module** should be set to value `csv`.\n",
+    "2. Instead of specifying the **amp**, **delay**, or **duration**; instead you specify the **file** path to the generated csv.\n",
+    "\n",
+    "For example to have the sequences of current clamps in the above example we would add the following to our configuration file:\n",
+    "\n",
+    "```json\n",
+    "\"inputs\": {\n",
+    "    \"current_clamp_series\": {\n",
+    "        \"input_type\": \"csv\",\n",
+    "        \"module\": \"IClamp\",\n",
+    "        \"node_set\": {\n",
+    "            \"population\": \"net\", \n",
+    "            \"model_type\": \"biophysical\"\n",
+    "        },\n",
+    "        \"file\": \"$INPUT_DIR/iclamp_inputs_series.csv\",\n",
+    "        \"section_name\": \"soma\"\n",
+    "    }\n",
+    "}\n",
+    "```\n",
+    "\n",
+    "Where our file has the following format, each row specifying the time **time-stamp**, where 0 represents beginning of simulation, at at which the **amp** value is changes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1c2ad04a-3fb5-4a60-a9c4-1b422bec6ae9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>timestamps</th>\n",
+       "      <th>amps</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>800.0</td>\n",
+       "      <td>0.150</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1300.0</td>\n",
+       "      <td>0.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1800.0</td>\n",
+       "      <td>0.175</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2300.0</td>\n",
+       "      <td>0.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2800.0</td>\n",
+       "      <td>0.200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>3300.0</td>\n",
+       "      <td>0.000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   timestamps   amps\n",
+       "0       800.0  0.150\n",
+       "1      1300.0  0.000\n",
+       "2      1800.0  0.175\n",
+       "3      2300.0  0.000\n",
+       "4      2800.0  0.200\n",
+       "5      3300.0  0.000"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "pd.read_csv('inputs/iclamp_inputs_series.csv', sep=' ')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f98fbb94-da36-404d-85cc-9a83f9154ff5",
+   "metadata": {},
+   "source": [
+    "Also note that unlike with the above example there is no **delay**, thus to turn off current between blocks we must reset amp to 0.0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "0b86ea3a-23bf-40dd-ab82-a6b8063f98a4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-05-05 12:32:49,833 [INFO] Created log file\n",
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-05-05 12:32:49,851 [INFO] Building cells.\n",
+      "2024-05-05 12:32:50,585 [INFO] Building recurrent connections\n",
+      "2024-05-05 12:32:50,609 [INFO] Running simulation for 3000.000 ms with the time step 0.100 ms\n",
+      "2024-05-05 12:32:50,614 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-05-05 12:32:50,615 [INFO] Block save every 5000 steps\n",
+      "2024-05-05 12:32:52,358 [INFO]     step:5000 t_sim:500.00 ms\n",
+      "2024-05-05 12:32:54,016 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-05-05 12:32:55,620 [INFO]     step:15000 t_sim:1500.00 ms\n",
+      "2024-05-05 12:32:57,227 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-05-05 12:32:58,778 [INFO]     step:25000 t_sim:2500.00 ms\n",
+      "2024-05-05 12:33:00,376 [INFO]     step:30000 t_sim:3000.00 ms\n",
+      "2024-05-05 12:33:00,394 [INFO] Simulation completed in 9.785 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.csv_series.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f92332a6-7e16-448a-a5ba-40f46bbce18c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.compartment import plot_traces\n",
+    "_ = plot_traces(config_file='config.csv_series.json',  node_ids=range(5), report_name='membrane_potential')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f8b062be-38f7-4cba-a5b0-211b126836a6",
+   "metadata": {},
+   "source": [
+    "For a more complex example, we will use numpy to create current-clamp trace that has a damped wave. We'll save it to file *inputs/iclamp_damped_wave.csv*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "3db0e427-b833-4437-81da-28567a27b9e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "start_time = 0.0\n",
+    "stop_time=3000.0\n",
+    "dt=0.1\n",
+    "\n",
+    "times_secs = np.arange(start_time, stop_time, step=dt*200)/1000\n",
+    "amps_na = np.sin(times_secs*3*np.pi)*np.exp(-times_secs)\n",
+    "pd.DataFrame({\n",
+    "    'timestamps': np.round(times_secs*1000, decimals=1),\n",
+    "    'amps': amps_na*.1\n",
+    "}).to_csv('inputs/iclamp_damped_wave.csv', sep=' ', index=False)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "35c329cc-a5f7-4c79-be44-710db2de0a48",
+   "metadata": {},
+   "source": [
+    "Then modify the config as such\n",
+    "\n",
+    "```json\n",
+    "\"inputs\": {\n",
+    "    \"current_clamp_wave\": {\n",
+    "        \"input_type\": \"csv\",\n",
+    "        \"module\": \"IClamp\",\n",
+    "        \"node_set\": {\n",
+    "            \"population\": \"net\", \n",
+    "            \"model_type\": \"biophysical\"\n",
+    "        },\n",
+    "        \"file\": \"$INPUT_DIR/iclamp_damped_wave.csv\",\n",
+    "        \"section_name\": \"soma\"\n",
+    "    }\n",
+    "}\n",
+    "```\n",
+    "\n",
+    "Then run the simulation and plot the membrane potential to see that indeed, the cell is acting as we would expect when injecting a damped wave into the soma"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "6691c13a-e60b-472a-a47d-faddf35ad1b0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-05-05 13:05:33,058 [INFO] Created log file\n",
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-05-05 13:05:33,072 [INFO] Building cells.\n",
+      "2024-05-05 13:05:34,069 [INFO] Building recurrent connections\n",
+      "2024-05-05 13:05:34,085 [WARNING] IClampMod: Stimulus of ./inputs/iclamp_damped_wave.csv does not end with a 0.0, attempting to set turn off at time 3000.0.\n",
+      "2024-05-05 13:05:34,093 [INFO] Running simulation for 3000.000 ms with the time step 0.100 ms\n",
+      "2024-05-05 13:05:34,098 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-05-05 13:05:34,099 [INFO] Block save every 5000 steps\n",
+      "2024-05-05 13:05:35,856 [INFO]     step:5000 t_sim:500.00 ms\n",
+      "2024-05-05 13:05:37,875 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-05-05 13:05:39,645 [INFO]     step:15000 t_sim:1500.00 ms\n",
+      "2024-05-05 13:05:41,639 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-05-05 13:05:43,769 [INFO]     step:25000 t_sim:2500.00 ms\n",
+      "2024-05-05 13:05:45,737 [INFO]     step:30000 t_sim:3000.00 ms\n",
+      "2024-05-05 13:05:45,757 [INFO] Simulation completed in 11.66 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.csv_wave.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "4177b173-1914-417d-bd63-b50f913a73b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.compartment import plot_traces\n",
+    "_ = plot_traces(config_file='config.csv_wave.json',  node_ids=range(5), report_name='membrane_potential')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8ece4be3-20a9-4fc1-a77f-5e31fb04b9d4",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "## 3. Example: Voltage Clamps <a class=\"anchor\" id=\"example-voltage-clamps\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c5f4cad8-afb6-4446-b7c9-7ccbb12161a7",
+   "metadata": {},
+   "source": [
+    "Besides the current clamp, we can use a voltage clamp to set one or more cells to have a constant membrane voltage during some period of the simulation. And like the IClamp we can dynamically insert or remove a voltage clamp during any given simulation by simply editing our SONATA configuration json file. However, note that not all models allow us to insert a voltage clamp - in particular only models with conductance based mechanics allow voltage clamps (so for example we cannot clamp a integrate-and-fire neuron).\n",
+    "\n",
+    "In the network built using the file *build_network.voltage_clamp.py* we have a simple network of two cells, with cell #1 synapsing onto cell #2. As we might do with a simple in-vitro experiment we want to clamp only one cell and see the results it has on both cells. And we want to use a simple single-electrode clamp (eg `SEClamp`) which is the simplest want to fix the voltage of one or more cells. To do so we add the following to the SONATA configuration **\"inputs**\" section:\n",
+    "\n",
+    "```json\n",
+    "    \"inputs\": {\n",
+    "      \"se_clamp_1\": {\n",
+    "        \"input_type\": \"clamp\",\n",
+    "        \"module\": \"SEClamp\",\n",
+    "        \"node_set\": {\n",
+    "            \"population\": \"net\", \n",
+    "            \"node_ids\": [0]\n",
+    "        },\n",
+    "        \"amp\": 20.0,\n",
+    "        \"duration\": 1000.0,\n",
+    "        \"delay\": 1000.0,\n",
+    "        \"section_name\": \"soma\",\n",
+    "        \"section_index\": 0,\n",
+    "        \"section_dist\": 0.5\n",
+    "      }\n",
+    "    }\n",
+    "```\n",
+    "\n",
+    "* We must set **input_type** to `clamp` and **module** to 'SEClamp` to tell BMTK which type of stimuli that is being added.\n",
+    "* For the **node_set** we make sure to only attach a clamp to cell with `node_id=0`. (eg our source cell only, not the second cell in the network).\n",
+    "* We must specify the onset/**delay** of the clamp (in ms), the **duration** (ms) and the **amp** (mV) at which we want to hold our cell. In this case we will set the cell such that between times 1000 to 2000 ms it will be clamped to a membrane voltage of 20.0 mV.\n",
+    "* As with current-clamp we have options **section_name**, **section_index** and **section_dist** to determine where to place the clamp within the cell. If not specified BMTK will place it by default in the center of the soma.\n",
+    "* We can specifcy the **resistance** in nOhms - but default it will be set to 0.0.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2057ec57-7361-4c50-89d2-4c7adacfe669",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\">\n",
+    "⚠️ WARNING: Currently SEClamp can only handle simple single square-wave block. It does not support advance features like specified in the IClamp.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "96eecab3-7360-41fc-972f-ab37947adaf4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-06-24 17:25:45,034 [INFO] Created log file\n",
+      "2024-06-24 17:25:45,088 [INFO] Building cells.\n",
+      "2024-06-24 17:25:45,224 [INFO] Building recurrent connections\n",
+      "2024-06-24 17:25:45,235 [INFO] Running simulation for 3000.000 ms with the time step 0.100 ms\n",
+      "2024-06-24 17:25:45,236 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-06-24 17:25:45,237 [INFO] Block save every 5000 steps\n",
+      "2024-06-24 17:25:45,618 [INFO]     step:5000 t_sim:500.00 ms\n",
+      "2024-06-24 17:25:45,980 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-06-24 17:25:46,394 [INFO]     step:15000 t_sim:1500.00 ms\n",
+      "2024-06-24 17:25:46,824 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-06-24 17:25:47,233 [INFO]     step:25000 t_sim:2500.00 ms\n",
+      "2024-06-24 17:25:47,617 [INFO]     step:30000 t_sim:3000.00 ms\n",
+      "2024-06-24 17:25:47,631 [INFO] Simulation completed in 2.396 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.voltage_clamp.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "edfb2be7-967a-436f-a02a-ce90b2a5ddde",
+   "metadata": {},
+   "source": [
+    "Now we can plot the membrane potential for the cell with the attached clamp (node-id 0) as-well-as the downstream cell in our network (node-id 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "6c8174cd-c04a-42b5-98e5-920335826998",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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l5eW0nVzN++6774pevXoJg8Eg+vTpI9asWeP4PNbVkkPyhRAiNzdXeHl5iffff9+pvTX1t/SzfPz4cTFixAhhNBoFAKf65s+fL6Kjo51O0UCkRJIQvBgNESnT2bNn0b17dyxfvrzVvTRkN3PmTJw4cQJ79uyRZf0WiwXdunXDggUL8Pjjj8tSA1FLcUwREVEHtmjRInz33XetvsSKu6xZswY6nc4jF6UlulEcU0REHme1WpsdcK3Ew/bbo+joaFRUVMi2/kceeYSBiNoNhiIi8rjz58+7HGxc16JFi5wuKkpE1NY4poiIPK6iogJff/11k/PExsZe9xFwRETXg6GIiIiICBxoTURERARAJWOKbDYbLl68CD8/P16MkIiIqJ0QQqC4uBiRkZHQaNq+H0cVoejixYutunAhERERKcf58+fRtWvXNl+PKkKRn58fAPtGvZ5T3RMREZHnmc1mREVFOb7H25oqQlHtLjN/f3+GIiIionbGU0NfONCaiIiICAxFRERERAAYioiIiIgAqGRMERERUXtltVpRVVUldxltQqfTQavVyl2GA0MRERGRAgkhkJOTg8LCQrlLaVOBgYGIiIhQxHkEGYqIiIgUqDYQhYWFwWQyKSI0uJMQAmVlZcjLywMAdO7cWeaKGIqIiIgUx2q1OgJRp06d5C6nzRiNRgBAXl4ewsLCZN+VxoHWREREClM7hshkMslcSdurfY9KGDfFUERERKRQHW2XmStKeo8MRURERERgKCIiIiICwFBEREREbrZy5Up069YN3t7eSExMxP79++UuqUUYioiIiMhtPvzwQ8yZMweLFi3CDz/8gEGDBiElJcVx6L2SMRQRERGR26xYsQKzZs3CjBkzEB8fj7fffhsmkwnvvfee3KU1i+cpIiIiUjghBMqrrLKs26jTtvgIscrKShw4cAALFy50tGk0GiQnJyMtLa2tSnQbhiIiIiKFK6+yIv75rbKs+9iSFJj0LYsLV65cgdVqRXh4uFN7eHg4jh8/3hbluRV3nxERERGBPUVERESKZ9RpcWxJimzrbqmQkBBotVrk5uY6tefm5iIiIsLdpbkdQxEREZHCSZLU4l1YctLr9UhISMD27dsxadIkAIDNZsP27dsxe/ZseYtrAeVvYSIiImo35syZg2nTpmHIkCEYOnQo/vKXv6C0tBQzZsyQu7RmMRQRERGR20yZMgWXL1/G888/j5ycHAwePBhbtmxpMPhaiRiKiIiIyK1mz57dLnaX1cejz4iIiIjAUEREREQEQK2hqLIM+ORR4Pj/5K6EiIiIFEKdoSjtTeDQv4D198tdCRERESmEOkNR8SW5KyAiIiKFUWcoIiIiIqqHoYiIiIgICgtFy5YtgyRJeOKJJxxtFRUVSE1NRadOneDr64vJkyc3uKZK60k3+HoiIiLqaBQTir777jusXr0aAwcOdGp/8skn8fnnn2PDhg3YvXs3Ll68iLvvvlumKomIiKijUkQoKikpwdSpU/HOO+8gKCjI0V5UVIR3330XK1aswB133IGEhASsWbMGe/fuxbfffitjxURERNTRKCIUpaamYsKECUhOTnZqP3DgAKqqqpza+/Tpg+joaKSlpTW6PIvFArPZ7HRzInH3GRERUVv46quvMHHiRERGRkKSJHz66adyl9Risoei9evX44cffsDSpUsbTMvJyYFer0dgYKBTe3h4OHJychpd5tKlSxEQEOC4RUVFubtsIiIicqG0tBSDBg3CypUr5S6l1WS9IOz58+fx+OOPY9u2bfD29nbbchcuXIg5c+Y4npvNZgYjIiIiDxg/fjzGjx8vdxnXRdZQdODAAeTl5eHmm292tFmtVnz11Vd48803sXXrVlRWVqKwsNCptyg3NxcRERGNLtdgMMBgMDSxZu4+I3ltPHwR566WIXV0T7lLIaL2QAigqkyedetMqhl2ImsoGjNmDI4cOeLUNmPGDPTp0wfz589HVFQUdDodtm/fjsmTJwMAMjMzkZ2djaSkJDlKJnKL2f86CABI6tEJN0cHNTM3EaleVRnwp0h51v2Hi4DeR551e5isocjPzw/9+/d3avPx8UGnTp0c7TNnzsScOXMQHBwMf39//O53v0NSUhJuvfVWOUomcqv8kkq5SyAiohqyhqKWeO2116DRaDB58mRYLBakpKRg1apVcpdF5BZC7gKIqH3Qmew9NnKtWyUUF4p27drl9Nzb2xsrV6507yh2lewbJSKiDkKSVLMLS06KC0VEaiIE+4qIqGMpKSnBqVOnHM+zsrKQnp6O4OBgREdHy1hZ8xiKiIiIyG2+//57jB492vG89hQ506ZNw9q1a2WqqmVUGoq4+4yUgf1ERNTRjBo1qt32gst+RmsiIiIiJWAoIpJRO/1jioioQ1JnKOLRZ0RERFSPOkMRkWKwq4iISCkYioiIiBSqvQ5Ybg0lvUeGIiIZKeh3AREpiE6nAwCUlcl0EVgPqn2Pte9ZTio9JJ+IiEi5tFotAgMDkZeXBwAwmUyQOth4WCEEysrKkJeXh8DAQGi1WrlLYigikhM7ioioMREREQDgCEYdVWBgoOO9yk2loahjpW0iIup4JElC586dERYWhqqqKrnLaRM6nU4RPUS1VBqKiJSBY4qIqDlarVZRwaEj40BrIiIiIjAUEclKcFQREZFiqDMUdbAR/ERERHTj1BmKiBSCY4qIiJSDoYiIiIgIqg1F3H1GysCOIiIi5VBpKCIiIiJyxlBEREREBLWGIh59RgqhpKtDExGpnTpDEREREVE9DEVEREREYCgiIiIiAsBQRCQrDikiIlIOhiIiIiIiqDUU8egzUgheEJaISDnUGYqIiIiI6mEoIpIRxxQRESkHQxGRjBiKiIiUg6GISEbMREREysFQRCQjG7uKiIgUg6GISE7MREREiqHSUMRD8kkZeEg+EZFyqDQUESmDjZmIiEgxZA9FS5cuxS233AI/Pz+EhYVh0qRJyMzMdJqnoqICqamp6NSpE3x9fTF58mTk5ubKVDGR+3BIERGRcsgeinbv3o3U1FR8++232LZtG6qqqjB27FiUlpY65nnyySfx+eefY8OGDdi9ezcuXryIu++++/pXyjNak0JwoDURkXJ4yV3Ali1bnJ6vXbsWYWFhOHDgAEaMGIGioiK8++67+Ne//oU77rgDALBmzRr07dsX3377LW699VY5yiZyC0YiIiLlkL2nqL6ioiIAQHBwMADgwIEDqKqqQnJysmOePn36IDo6GmlpaS6XYbFYYDabnW5ESiTYU0REpBiKCkU2mw1PPPEEhg0bhv79+wMAcnJyoNfrERgY6DRveHg4cnJyXC5n6dKlCAgIcNyioqLqzcHdZ6QMzERERMqhqFCUmpqKjIwMrF+//oaWs3DhQhQVFTlu58+fd1OFRO7FniIiIuWQfUxRrdmzZ2Pjxo346quv0LVrV0d7REQEKisrUVhY6NRblJubi4iICJfLMhgMMBgMbV0y0Q3jIflERMohe0+REAKzZ8/GJ598gh07dqB79+5O0xMSEqDT6bB9+3ZHW2ZmJrKzs5GUlHR9K+XRZ6QQzERERMohe09Ramoq/vWvf+Gzzz6Dn5+fY5xQQEAAjEYjAgICMHPmTMyZMwfBwcHw9/fH7373OyQlJfHIM2r3uPuMiEg5ZA9Fb731FgBg1KhRTu1r1qzB9OnTAQCvvfYaNBoNJk+eDIvFgpSUFKxatcrDlRIREVFHJnsoaslfyt7e3li5ciVWrlzpgYqIPIcnbyQiUg7ZxxTJg2OKSBmYiYiIlEOloYhIGZiJiIiUg6GISEbcfUZEpBzqDEU8JJ8UgpmIiEg51BmKiBSCh+QTESkHQxGRjJiJiIiUQ6WhiLvPSBl4mQ8iIuVQZyjimCJSCMHjz4iIFEOdoYhIIbj7jIhIOVQaithTRMrAgdZERMqhzlDE3WekEIxERETKoc5QxJ4iUgievJGISDlkvyCsLNhTRArBTKRcNptAlc2GKquA1SZgswnYhIBVCNhsqLmvmSZqptngeN5cuxD2gfZCoOaxfXeq/R5A7TTAeV5c2+3a1DLQ4DXOz+G0LrsgHz3G94+ATqvSv5dJ9dQZithTRArBQ/KbV2W1oaSiGsUV1Si2VKGkohplVVZYqqwor7KiosqG8korKqqtqKi0oqK65nnVtceVVhuqqm2ottlQaRWOx1VWgco6j6uqbU5BSI1ev3cw7hrcRe4yiGShzlDEniJSCLUcki+EQImlGgWlVcgvq0RBaSXya281zwvKKu3Bp6IaJZaaEFRRBUu1Te7ynUgSoJUkaDSS/V6C/XHtc429zTGPRoKmZr7ax1qNBEkCJNTe2xesqXksSVLNvX0eONrrvKbOYzR4jfNz1FmPq2UAwA/ZBbhUVIGC0kpPb1IixVBnKGJPESlEVXX7D0U2m0BesQU/FZQhx1yBnKIK5JorkGO2ILeoAjlm+/MbDTcmvRa+Bi/4envBpNfCqNPCW6eFwUsLo14Lby+N/V5Xe9PA26t2Hg10XhrotRK8NPbHOq0EnVZTc2v8sZdGYw88NWFH6qB/VM3+1w/YePiS3GUQyUqdoahj/k6jdqii2ip3CS1iswn8VFCOU5eLce5qGbLzy5B9tQzn8stwPr+sxYHHqNMi2EePYB89gnz0CDbpau71CPTRw9/bC37eXvDz1sHXUPPYoIOPQQsvjnMhojamzlDEVEQKUVGlvFCUa67AsYtmnMgtxoncEpzMK8bJ3BKUN1GrViOhc4A3Ogd4I9zfGxH+3oiofRxgfx7ia4BRr/XgOyEiah11hqIO2v1N7Y/coSi/tBKHfyrE4Z+Kam6FyCu2uJxXr9UgNtQH3Tr5IKaTCVHBJsR0MiE62ITIQCOPWOog2v8OXaLrp85QxJ4iUoiKKs8OIr5QWI79WVex70w+9mfl48yV0gbzaCSgZ5gveof71dx80SvcDzHBJu7CIqIOTZ2hiD1FpBBt3VNUWFaJr05ewVcnLuPbM1fxU0F5g3liQ30wsEsABnYNxMCuAegXGcDdXESkSuoMRewpIoVoapzO9RBCIOOCGbsy87DrxGUczC5wOheSViOhf5cA3No9GEO7B2NIt2AEGHVurYHap456VB1Ra6gzFPGHnxTCXF51w8uw2QQOni/A/w7nYEvGJVwsqnCaHhfuh1FxoRjWMwQJMUHwMajzx56IqDkq/e3IUETKUFB2faFICIFDPxXh04MXsCUjBznma0HIpNfi9p4hGBUXhpFxoegSaHRXuUREHZo6QxF7ikgh8lt59uBSSzU+S7+ID/adw9GLZke7r8ELyX3D8LMBnTGidyi8dRwTRNeH1+MjNVNnKGJPEbUzx3PM+ODbbHxy8AJKLNUAAL2XBuP7R2DiwEjc3iuEQYiI6AapMxSxp4gUpKLK6jLQVFRZsTnjEj74NhvfnytwtHfrZMLUxBj8KqErgnz0niyVOjD+ViRSayjijz/JzEevRWml/cizrCul6NvZ3zEt60op/rXvHDYc+AmFNWOOtBoJY+PD8ZtbY5AU2wkaDT/DRETups5QxJ4iklndw5+PXjSjZ5gvvjyWiw/2ZePrU1cc0yIDvHHf0Gjcc0sUwv295SiViEg11BmK2FNECrJ0049YuulHXK0ZdC1JwKjeoZiaGIPRfcKgZa8QeRDHWZOaqTMUsaeIFKQ2DIX46nHPkCjcNzQaUcEmmasiIlIfdYYi9hSRQnz48K3IulKKLkFG3BrbiRdVJdnwb0Ui1YYiImWICPBGYmwnucsgIiIA6vyzlH8SERERUT3qDEVEROSS4CmtScXaTShauXIlunXrBm9vbyQmJmL//v3XvzD2FBEREVE97SIUffjhh5gzZw4WLVqEH374AYMGDUJKSgry8vKuc4kMRUREROSsXYSiFStWYNasWZgxYwbi4+Px9ttvw2Qy4b333ru+BbKniIjICX8rErWDUFRZWYkDBw4gOTnZ0abRaJCcnIy0tLTrXCp//ImIiMiZ4g/Jv3LlCqxWK8LDw53aw8PDcfz4cZevsVgssFgsjudms9l5hro9RUKw54iIiIiU31N0PZYuXYqAgADHLSoqqt4c9UIRERERqZ7iQ1FISAi0Wi1yc3Od2nNzcxEREeHyNQsXLkRRUZHjdv78eecZnHqGGIqIiIioHYQivV6PhIQEbN++3dFms9mwfft2JCUluXyNwWCAv7+/080Ze4qIiOqSOIyASPljigBgzpw5mDZtGoYMGYKhQ4fiL3/5C0pLSzFjxozrWyB7ikhmLk+Ql5MBmC8Cvcd6viAiImofoWjKlCm4fPkynn/+eeTk5GDw4MHYsmVLg8HXLceeIlIGqe5n8e1h9vuHtgLRt8pTEBGRirWLUAQAs2fPxuzZs92zMPYUkZKd+4ahiGTDvxNJzRQ/pqhtsKeIFKzkes/UTkREN0KdoYg9RaRkpVfkroCISJXUGYrYU0RKVlkidwWkQjz2jEitoYg9RaRkFoYiIiI5qDMUsaeIlMxibn4eojYi+IciqZg6QxF7ikjJLMVyV0BEpEoqDUV13ratWr46iFzhmCIiIlmoMxRpddceV1fKVweRK+wpIjlwpDWRSkNRXdUVcldA5IyfSSIiWTAUVVvkroCISDF47AmpGUMR/yonIiIiMBSxp4iUiX+uExF5HENRdbncFRDZaQ3XHleWylcHqZLEkdZEDEXsKSLF0BmvPWYoIiLyOIaiKvYUkULUPakoz1VERORxDEVWnqeIFKLuOCKGIpIJR7ORmjEU8egzUiJeFJaIyOMYihiKSIk4poiIyOMYijjQmhSj7u4zXuqDPEviwWdEDEXsKSJFYk8REZHHMRSxp4hk0OxgVo4pIpnwvKGkZgxF7CkiJWJPERGRxzEUsaeIZOQ0jqPuX+gcU0RE5HEMRewpIiViTxF5GMdZEzEUsaeIlIljioiIPI6hiD1FpBg8ozXJT/Cc1qRiDEXsKSIlYigiIvI4hiL2FJEScUwREZHHMRSxp4iUou4JYjimiIjI4xiK2FNESsSeIvIwXuaDiKGIPUWkTDxPEcmEZ7QmNVNnKKr7U8+eIlIi7j4jIvI4dYaiuthTRIpRJ6zbqoDqSvlKISJSIYYi9hSRUvGwfCIij2IoYk8RKRVDEXmQxAt9EDEUsaeIFKP+CFeOKyIi8ijZQtHZs2cxc+ZMdO/eHUajET169MCiRYtQWek8juLw4cMYPnw4vL29ERUVhZdfftm9hVgrAZvVvcskcgcelk9E5FFecq34+PHjsNlsWL16NXr27ImMjAzMmjULpaWleOWVVwAAZrMZY8eORXJyMt5++20cOXIEDz30EAIDA/Hwww+7r5iqcsDg677lEd0Iva9915nFLHclRESqIlsoGjduHMaNG+d4Hhsbi8zMTLz11luOUPTBBx+gsrIS7733HvR6Pfr164f09HSsWLHCzaGojKGIFKBm95l3AEMREZEMFDWmqKioCMHBwY7naWlpGDFiBPR6vaMtJSUFmZmZKCgocN+Kq8rctyyiG+UdYL+vKJK3DlIVntGaSEGh6NSpU3jjjTfw29/+1tGWk5OD8PBwp/lqn+fk5DS6LIvFArPZ7HRrUlX59RdO5G7egfZ7hiIiIo9yeyhasGABJElq8nb8+HGn11y4cAHjxo3Dr3/9a8yaNeuGa1i6dCkCAgIct6ioqKZfwJ4iUhJjoP2+vFDOKkilBK/zQSrm9jFFc+fOxfTp05ucJzY21vH44sWLGD16NG677Tb87W9/c5ovIiICubm5Tm21zyMiIhpd/sKFCzFnzhzHc7PZ3HQwqmQoIgUQdcYUAewpIiLyMLeHotDQUISGhrZo3gsXLmD06NFISEjAmjVroNE4d1wlJSXhmWeeQVVVFXQ6HQBg27ZtiIuLQ1BQUKPLNRgMMBgMLS+au89ISRiKiIhkIduYogsXLmDUqFGIjo7GK6+8gsuXLyMnJ8dprND9998PvV6PmTNn4ujRo/jwww/x+uuvO/UCtUaj3cLcfUYe1uQeCoYiIiJZyHZI/rZt23Dq1CmcOnUKXbt2dZpWG14CAgLwxRdfIDU1FQkJCQgJCcHzzz/v3sPxAfYUkULU7j4LtN8zFJEH8egzIhlD0fTp05sdewQAAwcOxJ49e9q2GPYUkZKwp4hkxHHWpGaKOSTfExr9YWcoIiVhKCIikoWqQlGjuPuMlKT2kHyGIiIij2IoAthTRMpQ/5D86nKg2iJfPUREKqOqUNTornKep4iUxOB/7TF7i8hjONKaSFWhqFGWYrkrILpGowUMHFdE8uA4a1IzhiKAXzykEHW+jjjYmojI4xiKAMDSzAVjiTzNEYoKZS2DiEhNVBWKrp3Rul4HMf8aJ0WR2FNERCQDVYWiBqSat88vHlICwd1nJB+e0ZpI7aGo9ouHu89IaRiKiIg8TlWhqMFRFbWHPleYeW57UhaGIpIJfxWSmqkqFDVQ+8UjrEBlqby1ENWSOKaIiEgO6g5FOhMgae2PuQuNZOdiTFF5oSyVEBGpkapCUYNuYUkCvOvsQiNSCsf1zwrlrIKISFVUFYpc4m4KUhwJ8A2zPyzOkbcUUg0efEbEUMRQRMpRtyvTv6v9vuiCPLWQagle6INUTFWhyOUPuzHIfl9e4NliiJoS0MV+bynitfmIiDxEVaHIJVMn+33ZVXnrIKolSYDB79pFYYt+krceIiKV8JK7ANkZg+33DEXUFmw2wFZdc6sCbFbAVo0w5MMqVUJbeBaw6ezt9Xsyg7sDl9KBy8eBsL5Nr0cIoKrcfhRlRRFQWQJUW67drHUeV1fY6xE2+3qFteZe1Hlce29znk/YanbziSbu4aLdVVtz92h8eqPTGmyYxreX6wmtmLexRXi6jtYsu/H38tv8MkzWW9D5kBE46+1ijmZGHTV7Suz2/vrmFq/0+tvp68uqmlmue6kqFLn8HVHbU1Se79FaqBWEuPZlbq28dquufVxl/9KvfVxtaaK9quZ5ncd12+sEF9iq7e2O51U191YX06pdv7aRL6HdWgBaAP9wNbXml0PkTfZQdOEHoN8v7W0lecCZXUB2mr0HqegCUJJjD0K2andveVKRaADRGgDFNTciJbB4doybqkKRSyb2FF0Xmw2oKrOf9LKqFKis+7gUqKqwh5jqCnsPhuNxBVBd7mK6pU57zfO6r+tgKoUWNmig1xug0Wrt58vSaIGoxGtHnkUnAQfWAIf+DUDYw1DOkaYXLGnsBw/ofQEvA6A12O+9DIBWD3h5A156QKOzz6upXbfGfu/UVvO8bpukqfmLTnJxj0baa+6BJl5b974V8zW2Hqdt4uov0Eb+Km1pb8ENL7Mt6mzpMl3P+89957Ar8zImDuyMuwZ3qTe1mS+mZnvT1P765hav9PplfH1JGbDskWaW7z4MRY4xRR28p6jaYh+wazHbz8lU+9hSfO1WG3IqS50fO56X2MNPVc1NLlq9881L37DNqV1nDwe1j70M9dp1dV7nZQ8MGq+am9Y+ve5zp+leNa9p4uY0XQdoNBj43GZUVNmw5/HRiAo2uX6ffScCX4QCpZeBvW9ca48YCMSOBEJ6A/6RgF9nwDuwJgz58MqedF2OHz+CL23Z6NepF9Cnt9zlENmZzQAYijxEunb0mZJDkc1WE2YK7UfJldfeF9QLOXWDTr12q6WNipPsZwbX+wB6k72HQmcCdN6Al/HavZcB0Blreiq8602vbXMxvf7rtLoO9aXf5FvRm4AHPwO+fs3+3ruPBGJHAb6hniqPiEhVVB6K4Pmjz6orgbIr9r/+S6/Yb2VXroWc2sDjCEAF9vEiwuae9et9a45s8q+5r3NzhJuam64m5OhNzo/1PoCudh5jhwopihPeD5j8d7mrICJSBYai2jFF5fn2/ZrX+wVvKQHMFwHzhZr7mseO8HPZHn5u5CSRXkZ7z5YxyH4ZCGOQPdx4+zuHHKfn9cKPRnv96yciIurAVBWKmjz6zFppHzNj8Gt8AWX5QO5RIP80cPU0kH8GyM+yHwVkaUXYkbSATwhgCrHf+4TYTw1QG3SMQfYxInUDkHegfZcSEVEbkGoGX/N81qRmqgpFLulM9sG2Vot9F1rdUFR6FTj7FXD2G+DcN0DesaaXZQiwD3yte/MNqwk/oTW3EHvA0fC8mURERErCUCRJ9t6i4ov2UBTUDTBfAv43Fzj5hf3cM3UFdQM69QKCY4FOPez3gTGAf+eme5mIiIhI0RiKAHtvTvFF+xXJLx0GVg+/Ni20L9B9OBAzzH7jkT9EREQdkqpCUaNXfw7oaj9zcOF5YP3919oH3Qf88m2P1EZERETyUufAlvojrv1rzt569BPndgYiIlIJnlmDSK2hqL6AmlB0/ttrbU9kyFMLEZGcbvSSFUTtmKpCUaM/6/71rvMTMwwIjGrzeoiIiEg5VBWKGhUa5/x86gZ56iAiIiLZMBQBQFg/+2H1ADDhVfvlK4iIiEhVVHb0WSM0GmDa58CVE0DPZE+WRESkCBxnTaSQniKLxYLBgwdDkiSkp6c7TTt8+DCGDx8Ob29vREVF4eWXX26bIoJigF538hAMIlI1DrMmNVNEKHr66acRGRnZoN1sNmPs2LGIiYnBgQMHsHz5cixevBh/+9vfZKiSiIiIOjLZd59t3rwZX3zxBT7++GNs3rzZadoHH3yAyspKvPfee9Dr9ejXrx/S09OxYsUKPPzww61el+ChpkRERNQIWXuKcnNzMWvWLLz//vswmUwNpqelpWHEiBHQ6/WOtpSUFGRmZqKgoKDR5VosFpjNZqcbERERUVNkC0VCCEyfPh2PPPIIhgwZ4nKenJwchIeHO7XVPs/JyWl02UuXLkVAQIDjFhXFcw4RERFR09weihYsWABJkpq8HT9+HG+88QaKi4uxcOFCd5eAhQsXoqioyHE7f/48AA4gJCJqjFRzkAlHGZCauX1M0dy5czF9+vQm54mNjcWOHTuQlpYGg8HgNG3IkCGYOnUq1q1bh4iICOTm5jpNr30eERHR6PINBkOD5RIRERE1xe2hKDQ0FKGhoc3O99e//hV//OMfHc8vXryIlJQUfPjhh0hMTAQAJCUl4ZlnnkFVVRV0Oh0AYNu2bYiLi0NQUJC7SyfyGP41TkSkPLIdfRYdHe303NfXFwDQo0cPdO3aFQBw//3344UXXsDMmTMxf/58ZGRk4PXXX8drr712XevkFxERERE1RvZD8psSEBCAL774AqmpqUhISEBISAief/756zocn0iJJJ4slIhIMRQTirp16+byPEIDBw7Enj17ZKiIiIiI1EQRZ7T2mPqZi3+lExE5ETxOl1RMXaGIiIiIqBEMRURERERQWShitzARERE1RlWhiIiIiKgxDEVEROQ47oTncyM1U2ko4k89EREROVNVKOJfQERERNQYVYUiIiIiosYwFBERERFBZaGIe8+IiFyTYB9pzd+TpGaqCkVEREREjWEoIiIiIoLaQhEPPyMiIqJGqCsUERERETWCoYiIiHhGayKoLBTxZ52IiIgao6pQRERERNQYhiIiIiIiqCwUcV85ERERNUZVoYhIKZjPiYiUh6GIiIhqLvIBCEZ2UjFVhSL+sJPSSM3PQkREHqKqUERERETUGIYiIiIiIqgtFDXYe8adF0RERGSnrlBEREQuSddGWhOpFkMRERERERiKiIiIiACoLBSxV5iIiIgao6pQ5MDrfRAREVE96gxFRETkEv9kJDVTVShiBxERkWuSxFOUEKkqFBERERE1hqGIiIiICCoLRbwgLBERETVG9lD0v//9D4mJiTAajQgKCsKkSZOcpmdnZ2PChAkwmUwICwvDvHnzUF1dLU+xREQdnODgS1IxLzlX/vHHH2PWrFn405/+hDvuuAPV1dXIyMhwTLdarZgwYQIiIiKwd+9eXLp0CQ8++CB0Oh3+9Kc/yVg5EVHHwmHWRDKGourqajz++ONYvnw5Zs6c6WiPj493PP7iiy9w7NgxfPnllwgPD8fgwYPx4osvYv78+Vi8eDH0en2r1sk/gIiIiKgxsu0+++GHH3DhwgVoNBrcdNNN6Ny5M8aPH+/UU5SWloYBAwYgPDzc0ZaSkgKz2YyjR482umyLxQKz2ex0IyKi5l0oLJe7BCLZyBaKzpw5AwBYvHgxnn32WWzcuBFBQUEYNWoU8vPzAQA5OTlOgQiA43lOTk6jy166dCkCAgIct6ioqDZ6F0REHcumIzn47w8/yV0GkSzcHooWLFgASZKavB0/fhw2mw0A8Mwzz2Dy5MlISEjAmjVrIEkSNmzYcEM1LFy4EEVFRY7b+fPnAfBMrURELfHcpxnNz0TUAbl9TNHcuXMxffr0JueJjY3FpUuXADiPITIYDIiNjUV2djYAICIiAvv373d6bW5urmNaYwwGAwwGw/WUT0SkTnVGWldabfLVQSQjt4ei0NBQhIaGNjtfQkICDAYDMjMzcfvttwMAqqqqcPbsWcTExAAAkpKS8NJLLyEvLw9hYWEAgG3btsHf398pTBG1O+y2JAWrsvIDSuok29Fn/v7+eOSRR7Bo0SJERUUhJiYGy5cvBwD8+te/BgCMHTsW8fHxeOCBB/Dyyy8jJycHzz77LFJTU6+rJ4jn3yAiahkhBK+HRqoj63mKli9fDi8vLzzwwAMoLy9HYmIiduzYgaCgIACAVqvFxo0b8eijjyIpKQk+Pj6YNm0alixZImfZRG7D7xxSiup6vUPm8moEmHQyVUMkD1lDkU6nwyuvvIJXXnml0XliYmKwadMmD1ZFRKQ+ZZVWp+d5xRUMRaQ6sl/mw5O494yIyLWySufLJ+UVW2SqhEg+qgpFRETkWnm9nqJcc4VMlRDJh6GIiIhgqXY+DJ89RaRG6g5FHOVKRAQAsFSzp4hI3aGIiIgAsKeICGAoIiIiAJYq51B02cxQROqj0lDEw9CIiOqy2px/L+YWc/cZqY+qQhGjEBGRa7Z65yzJM1t4FQBSHVWFIiIicq1+KCqvsqLYUt3I3EQdE0MREREh1O/a9ST9DPaLHeRxXBGpjKpCkeAONCIil/44aQBujg7Emum3IMzfHpB4WD6pjapCERERudYzzBf/fWwYRvcJQ5cgEwDgQkG5zFUReRZDEREROYkKMgIAzheUyVwJkWepKhTxQAoiouZ1rekpOp/PUETqoqpQREREzYsKtvcU/cTdZ6QyDEVEROTE0VPE3WekMqoKRdx7RkTUvNoxRblmS4MLxRJ1ZKoKRfVPY09ERA0F++hh1GkB8Ag0UhdVhSKOtCYiap4kSRxXRKqkqlBkZSgiImqR2nFF2TwCjVREXaGIu89IIXh2dVK6mE72UHTuaqnMlRB5jqpCkc0mdwVERO1DbIgPAODMZYYiUg91hSLuPiOFkSDJXQKRS7GhvgCArCsMRaQeqgpFHFNERNQy3Wt6irLzy1BlZTc7qYOqQpGNY4qIiFokwt8b3joNqm2Cl/sg1VBZKJK7AiKi9kGjkdA9hLvQSF3UFYrYUURE1GK1g60ZikgtVBaKmIqIiFqqdlzRaR6BRiqhqlDEgdZERC0XG1rbU1QicyVEnqHOUMRwRETUrNrD8k/lMRSROqgqFAmGISKiFusd7gtJAq6UVOJKiUXucojanKpCEU+1QUTUcia9F6KD7Zf7yMwplrkaoranslDEniIiotboE+EHADjOUEQqoKpQVF5ZLXcJRETtSlyEPwDg+CWzzJUQtT1VhaK/bj8pdwlERO1K35qeosxc9hRRx6eqUJRbbEFhWaXcZRARtRtxNaHoRG4xhyBQhydrKDpx4gTuuusuhISEwN/fH7fffjt27tzpNE92djYmTJgAk8mEsLAwzJs3D9XV17cbTAjg2zNX3VE6EZEqxHTygbdOg4oqG7J5DTTq4GQNRT//+c9RXV2NHTt24MCBAxg0aBB+/vOfIycnBwBgtVoxYcIEVFZWYu/evVi3bh3Wrl2L559//rrXmXaaoYiIqKW0Gglx4fbeoowLRTJXQ9S2ZAtFV65cwcmTJ7FgwQIMHDgQvXr1wrJly1BWVoaMjAwAwBdffIFjx47hn//8JwYPHozx48fjxRdfxMqVK1FZeX27wdLYU0RE1CoDuwYCAA7/VChrHURtTbZQ1KlTJ8TFxeEf//gHSktLUV1djdWrVyMsLAwJCQkAgLS0NAwYMADh4eGO16WkpMBsNuPo0aONLttiscBsNjvdap3ILYHZwqPQiIhaalBUIADg0Hn2FFHHJlsokiQJX375JQ4ePAg/Pz94e3tjxYoV2LJlC4KCggAAOTk5ToEIgON57S42V5YuXYqAgADHLSoqCoD97KwAcIpHURARtdjgqAAAwJELRajmWXCpA3N7KFqwYAEkSWrydvz4cQghkJqairCwMOzZswf79+/HpEmTMHHiRFy6dOmGali4cCGKiooct/PnzwMAxkXYr99zIpfX8SEiaqnYEF/4GrxQXmXFqcv8/Ukdl5e7Fzh37lxMnz69yXliY2OxY8cObNy4EQUFBfD3t58cbNWqVdi2bRvWrVuHBQsWICIiAvv373d6bW5uLgAgIiKi0eUbDAYYDIYG7WOk7/EmRuAEe4qIiFpMo5EwoEsA0s5cxaHzhehTc0JHoo7G7aEoNDQUoaGhzc5XVmY/tFOjce6s0mg0sNns3bNJSUl46aWXkJeXh7CwMADAtm3b4O/vj/j4+FbX1u3yDui1o3C52ALoW/1yIrfhtYmpvRkUFYi0M1eRfr4QU26JlrscojYh25iipKQkBAUFYdq0aTh06BBOnDiBefPmISsrCxMmTAAAjB07FvHx8XjggQdw6NAhbN26Fc8++yxSU1Nd9gQ1R3s1E/dGF7j7rRARdXgJMfaxnvuz8mWuhKjtyBaKQkJCsGXLFpSUlOCOO+7AkCFD8PXXX+Ozzz7DoEGDAABarRYbN26EVqtFUlISfvOb3+DBBx/EkiVLrnu9U/VfuestEN0wSZK7AqKWGdotGJIEnL5cirziCrnLIWoTbt991hpDhgzB1q1bm5wnJiYGmzZtcts6e+VuhkGaAgCwWG1ofX8TEZH6BJh0iO/sj6MXzfj2TD5+MShS7pKI3E5V1z6DXyQ0FYW41+cgAOBKsUXmgoiI2o9bYzsB4OWSqONSVygaPBUAMKTSfkTb5WILBEe8EhG1CEMRdXTqCkU3PwB4GR1PyyqtyLhgbuIFRERUa2i3YGgk4MzlUlwoLJe7HCK3U1coMgUDN/3GqWn9d9kyFUNE1L4EmHS4Odp+FNqO43kyV0PkfuoKRQCQ9JjjYYLmJD7+4ScUll3fxWWJiNTmjr72c8bt+DFX5kqI3E99oSg4FujUCwBQoTGiosqGD/axt4iIqCXG9LFff/Kb01dRVsmLa1PHor5QBAAPbQEG3IMjQ18GAKzbexYVVVaZiyIiUr7e4b7oGmREZbUNX5+8Inc5RG6lzlDkEwJMfgdD75yCyABv5BVb8I+0s3JXRUSkeJIkYWy8/dqTnx++sYt3EymNOkNRDb2XBk/c2RsAsHLnaRSVV8lcERGR8k26yX7ixm3HclBi4S406jhUHYoAYPLNXdErzBdF5VV4bdsJucshIlK8AV0CEBvig4oqG7Zm5MhdDpHbqD4UaTUSnp8YDwBYl3YWB7N5wVgioqZIkoRJN3UBAPz34E8yV0PkPqoPRQAwvFco7r6pC4QA5v3nMErZHUxE1KS7b+4CjQR8c+oqTuYWy10OkVswFNV49ufxCPMz4FReCRb+9wgv/0FE1ISuQSbcGW8/PH8dD1ShDoKhqEawjx5v3n8ztBoJ/+/QRazadVrukoiIFG36bd0BAB8fuICCUp4El9o/hqI6hnYPxnMT+gIAlm/NxLq9Z+UtiIhIwW6NDUZ8Z3+UV1nxtz1n5C6H6IYxFNUzfVh3/P6OngCARf/vKF79IpO70oiIXJAkCXNqTmuy9puzyCuukLkiohvDUOTCk3f2xu9qgtEbO05h1j8O4GqJReaqiIiUZ0zfMAyKCkR5lZWnNaF2j6HIBUmSMHdsHP48eQB0Wglf/piLlL98hY++Ow+rjb1GRES1JEnCszXDDv69/zy+O5svc0VE14+hqAlTbonGZ6m3o3e4L66UVOLpjw9j/Otf4cPvsnmtNCKiGrd0C8a9t0QBABZ8fJgXiqV2i6GoGfGR/vj8d7fj2Ql94e/thRO5JZj/8REMfelLzPkoHVuP5qCojJcHISJ1WzC+D8L8DDh9uRR/4GlNqJ2ShAo+uWazGQEBASgqKoK/v/91L6eorAoffp+Nf6Sdw08F5U7TeoX5YmDXQMSG+qBHqA+6BpkQ6mdAsI8eOq182VMIAatNoNpW/95mv7c20m4TsDV4nc3F/AI2ISCEgE0Atpp71Htun36tTQjAZqv7vAXz12kTQsBmq5lmXx0EBGr+Od77tWnObbUNAvZlO15fZ35RZ8ZrbaLOsq61want2jKd1lFnvftrdjHs+8MYhPt7u/F/nEg++7Pycd8738JqE5g/rg8eHdVD7pKonXPX93dLMRRdB6tN4MC5AmzJyMHOzDxkXSltcv5Akw6+Bi8YdVoY9Vp4e2lh0Gmg1UgAAAn2/fJSzfyShGuhoyaEVNULMfWfV9ts9tdYrwUWa00gImUy6bX4/tlkmPRecpdC5Dbvfp2FFzceAwC8OKk/Hrg1RuaKqD1jKGoDbb1Rr5RYcOBcATJzipF1pRRnrpTiQkE58kstUGom0UiAl8YezLw0ErRa+71Gqvu8znSn+5p2rX1+rUaCRroW7DSSBI3G/lwj2adpJAlSzf2159ce177eMV3TsvklCZBQew/Hc9Q8tt87B87aEFr3ORrMI117fd3lOrVJjmmuXgdX89SpNS7CD7Ghvu78byVShJe3HHecAHf26J6Yc2dvaDRSM68iaoihqA14eqPWstkECsurcKXEghJLNSqqrKiosqK80obyKqvTrhjU232j1UjQaZ1DSf3nXlrngGJv17gOMdprz7WSxF9QRNRmhBB49YsTeHPnKQDA8F4hePlXA9E5wChzZdTeMBS1AblCERGRmm34/jye+ywDFVU2+Oi1eHhED8wc3h2+Bu4yppZhKGoDDEVERPI4fbkET204hIPZhQAAP4MX7r65C36VEIX+Xfwdu7KJXGEoagMMRURE8rHZBDZlXMKKL07gTJ0DU8L9DRjeKxSDowIxqGsgeoX7wlunlbFSUhqGojbAUEREJD+bTWDv6av49/5s7MzMQ1llw5PghvkZENPJhHB/bwSZ9Ajy0SOo5gheb50W3jotDF4ax7225gARjaaRgzaa6Imq++1XZ4Rnvfa68zt/XTpPcz2l8WW1YN31TutR2+Z0mg84n34EdaYJca1mV6cucX0qkmunLWm4Xtfrqr/85k5XYnOcksV+lHTtaVastoaPS0vMmDfxZo99f3PHLhEReYRGI+H2XiG4vVcILNVWfHsmH99l5ePQT4U4/FMRisqrkFdsQV4xrzVJdjZLmUfXx1BEREQeZ/DSYmTvUIzsHQrA3jtQVF6F7PwynLtahislFhSUVqKgrAr5ZZUodRzBa4Ol2gZLzdG8LT3p67WTbsD5tBn16qo7xslpWr0Z6z51ek1L52uwXtevcnVqEJenFnFx2g/H6UjqP6+3LNSZ1tiyUHd6I8u6tp46r3VxmhRH717d06w4evqunZZFI0moKi/BX+E5DEVERCQ7SZIQaNIj0KTHwK6BcpdDCmE2mz0ainjtMyIiIiIwFBEREREBYCgiIiIiAsBQRERERASgDUPRSy+9hNtuuw0mkwmBgYEu58nOzsaECRNgMpkQFhaGefPmobq62mmeXbt24eabb4bBYEDPnj2xdu3atiqZiIiIVKzNQlFlZSV+/etf49FHH3U53Wq1YsKECaisrMTevXuxbt06rF27Fs8//7xjnqysLEyYMAGjR49Geno6nnjiCfzf//0ftm7d2lZlExERkUq1+Rmt165diyeeeAKFhYVO7Zs3b8bPf/5zXLx4EeHh4QCAt99+G/Pnz8fly5eh1+sxf/58/O9//0NGRobjdffeey8KCwuxZcuWFtfAM1oTERG1P57+/pZtTFFaWhoGDBjgCEQAkJKSArPZjKNHjzrmSU5OdnpdSkoK0tLSPForERERdXyynbwxJyfHKRABcDzPyclpch6z2Yzy8nIYjUaXy7ZYLLBYrp0m3mw2u7N0IiIi6oBa1VO0YMEC+6m9m7gdP368rWptsaVLlyIgIMBxi4qKkrskIiIiUrhW9RTNnTsX06dPb3Ke2NjYFi0rIiIC+/fvd2rLzc11TKu9r22rO4+/v3+jvUQAsHDhQsyZM8fx3Gw2MxgRERFRk1oVikJDQxEaGuqWFSclJeGll15CXl4ewsLCAADbtm2Dv78/4uPjHfNs2rTJ6XXbtm1DUlJSk8s2GAwwGAxuqZOIiIjUoc0GWmdnZyM9PR3Z2dmwWq1IT09Heno6SkpKAABjx45FfHw8HnjgARw6dAhbt27Fs88+i9TUVEegeeSRR3DmzBk8/fTTOH78OFatWoWPPvoITz75ZFuVTURERCrVZofkT58+HevWrWvQvnPnTowaNQoAcO7cOTz66KPYtWsXfHx8MG3aNCxbtgxeXtc6sHbt2oUnn3wSx44dQ9euXfHcc881uwuvPh6ST0RE1P54+vu7zc9TpARFRUUIDAzE+fPnGYqIiIjaidoxwYWFhQgICGjz9cl2SL4nXb16FQA42JqIiKgdunr1KkORuwQHBwOwj3PyxEbtqGoTO3vcbhy3pftwW7oHt6P7cFu6T1FREaKjox3f421NFaFIo7GPJw8ICOAH1A38/f25Hd2E29J9uC3dg9vRfbgt3af2e7zN1+ORtRAREREpHEMREREREVQSigwGAxYtWsQTOt4gbkf34bZ0H25L9+B2dB9uS/fx9LZUxSH5RERERM1RRU8RERERUXMYioiIiIjAUEREREQEgKGIiIiICIAKQtHKlSvRrVs3eHt7IzExEfv375e7JEVZvHgxJElyuvXp08cxvaKiAqmpqejUqRN8fX0xefJk5ObmOi0jOzsbEyZMgMlkQlhYGObNm4fq6mpPvxWP++qrrzBx4kRERkZCkiR8+umnTtOFEHj++efRuXNnGI1GJCcn4+TJk07z5OfnY+rUqfD390dgYCBmzpyJkpISp3kOHz6M4cOHw9vbG1FRUXj55Zfb+q15XHPbcvr06Q0+p+PGjXOah9sSWLp0KW655Rb4+fkhLCwMkyZNQmZmptM87vqZ3rVrF26++WYYDAb07NkTa9eubeu351Et2ZajRo1q8Ll85JFHnOZR+7Z86623MHDgQMeJLJOSkrB582bHdMV9HkUHtn79eqHX68V7770njh49KmbNmiUCAwNFbm6u3KUpxqJFi0S/fv3EpUuXHLfLly87pj/yyCMiKipKbN++XXz//ffi1ltvFbfddptjenV1tejfv79ITk4WBw8eFJs2bRIhISFi4cKFcrwdj9q0aZN45plnxH//+18BQHzyySdO05ctWyYCAgLEp59+Kg4dOiR+8YtfiO7du4vy8nLHPOPGjRODBg0S3377rdizZ4/o2bOnuO+++xzTi4qKRHh4uJg6darIyMgQ//73v4XRaBSrV6/21Nv0iOa25bRp08S4ceOcPqf5+flO83BbCpGSkiLWrFkjMjIyRHp6uvjZz34moqOjRUlJiWMed/xMnzlzRphMJjFnzhxx7Ngx8cYbbwitViu2bNni0ffbllqyLUeOHClmzZrl9LksKipyTOe2FOL//b//J/73v/+JEydOiMzMTPGHP/xB6HQ6kZGRIYRQ3uexQ4eioUOHitTUVMdzq9UqIiMjxdKlS2WsSlkWLVokBg0a5HJaYWGh0Ol0YsOGDY62H3/8UQAQaWlpQgj7l5lGoxE5OTmOed566y3h7+8vLBZLm9auJPW/yG02m4iIiBDLly93tBUWFgqDwSD+/e9/CyGEOHbsmAAgvvvuO8c8mzdvFpIkiQsXLgghhFi1apUICgpy2pbz588XcXFxbfyO5NNYKLrrrrsafQ23pWt5eXkCgNi9e7cQwn0/008//bTo16+f07qmTJkiUlJS2votyab+thTCHooef/zxRl/DbelaUFCQ+Pvf/67Iz2OH3X1WWVmJAwcOIDk52dGm0WiQnJyMtLQ0GStTnpMnTyIyMhKxsbGYOnUqsrOzAQAHDhxAVVWV0zbs06cPoqOjHdswLS0NAwYMQHh4uGOelJQUmM1mHD161LNvREGysrKQk5PjtO0CAgKQmJjotO0CAwMxZMgQxzzJycnQaDTYt2+fY54RI0ZAr9c75klJSUFmZiYKCgo89G6UYdeuXQgLC0NcXBweffRRXL161TGN29K1oqIiANcuiu2un+m0tDSnZdTO05F/t9bflrU++OADhISEoH///li4cCHKysoc07gtnVmtVqxfvx6lpaVISkpS5Oexw14Q9sqVK7BarU4bEgDCw8Nx/PhxmapSnsTERKxduxZxcXG4dOkSXnjhBQwfPhwZGRnIycmBXq9HYGCg02vCw8ORk5MDAMjJyXG5jWunqVXte3e1bepuu7CwMKfpXl5eCA4Odpqne/fuDZZROy0oKKhN6leacePG4e6770b37t1x+vRp/OEPf8D48eORlpYGrVbLbemCzWbDE088gWHDhqF///4A4Laf6cbmMZvNKC8vh9FobIu3JBtX2xIA7r//fsTExCAyMhKHDx/G/PnzkZmZif/+978AuC1rHTlyBElJSaioqICvry8++eQTxMfHIz09XXGfxw4biqhlxo8f73g8cOBAJCYmIiYmBh999FGH+GGkjuHee+91PB4wYAAGDhyIHj16YNeuXRgzZoyMlSlXamoqMjIy8PXXX8tdSrvX2LZ8+OGHHY8HDBiAzp07Y8yYMTh9+jR69Ojh6TIVKy4uDunp6SgqKsJ//vMfTJs2Dbt375a7LJc67O6zkJAQaLXaBqPYc3NzERERIVNVyhcYGIjevXvj1KlTiIiIQGVlJQoLC53mqbsNIyIiXG7j2mlqVfvem/r8RUREIC8vz2l6dXU18vPzuX2bERsbi5CQEJw6dQoAt2V9s2fPxsaNG7Fz50507drV0e6un+nG5vH39+9wf0w1ti1dSUxMBACnzyW3JaDX69GzZ08kJCRg6dKlGDRoEF5//XVFfh47bCjS6/VISEjA9u3bHW02mw3bt29HUlKSjJUpW0lJCU6fPo3OnTsjISEBOp3OaRtmZmYiOzvbsQ2TkpJw5MgRpy+kbdu2wd/fH/Hx8R6vXym6d++OiIgIp21nNpuxb98+p21XWFiIAwcOOObZsWMHbDab45drUlISvvrqK1RVVTnm2bZtG+Li4jrc7p7W+Omnn3D16lV07twZALdlLSEEZs+ejU8++QQ7duxosLvQXT/TSUlJTsuonacj/W5tblu6kp6eDgBOn0tuy4ZsNhssFosyP4+tHzfefqxfv14YDAaxdu1acezYMfHwww+LwMBAp1Hsajd37lyxa9cukZWVJb755huRnJwsQkJCRF5enhDCfrhkdHS02LFjh/j+++9FUlKSSEpKcry+9nDJsWPHivT0dLFlyxYRGhqqikPyi4uLxcGDB8XBgwcFALFixQpx8OBBce7cOSGE/ZD8wMBA8dlnn4nDhw+Lu+66y+Uh+TfddJPYt2+f+Prrr0WvXr2cDiMvLCwU4eHh4oEHHhAZGRli/fr1wmQydajDyIVoelsWFxeLp556SqSlpYmsrCzx5Zdfiptvvln06tVLVFRUOJbBbSnEo48+KgICAsSuXbucDhMvKytzzOOOn+naQ6DnzZsnfvzxR7Fy5coOdRi5EM1vy1OnToklS5aI77//XmRlZYnPPvtMxMbGihEjRjiWwW0pxIIFC8Tu3btFVlaWOHz4sFiwYIGQJEl88cUXQgjlfR47dCgSQog33nhDREdHC71eL4YOHSq+/fZbuUtSlClTpojOnTsLvV4vunTpIqZMmSJOnTrlmF5eXi4ee+wxERQUJEwmk/jlL38pLl265LSMs2fPivHjxwuj0ShCQkLE3LlzRVVVlaffisft3LlTAGhwmzZtmhDCflj+c889J8LDw4XBYBBjxowRmZmZTsu4evWquO+++4Svr6/w9/cXM2bMEMXFxU7zHDp0SNx+++3CYDCILl26iGXLlnnqLXpMU9uyrKxMjB07VoSGhgqdTidiYmLErFmzGvxxw20pXG5DAGLNmjWOedz1M71z504xePBgodfrRWxsrNM6OoLmtmV2drYYMWKECA4OFgaDQfTs2VPMmzfP6TxFQnBbPvTQQyImJkbo9XoRGhoqxowZ4whEQijv8ygJIUTr+5eIiIiIOpYOO6aIiIiIqDUYioiIiIjAUEREREQEgKGIiIiICABDEREREREAhiIiIiIiAAxFRERERAAYioiIiIgAMBQRURvYtWsXJElqcKFHT9m+fTv69u0Lq9XaZuu49dZb8fHHH7fZ8onI83hGayK6IaNGjcLgwYPxl7/8xdFWWVmJ/Px8hIeHQ5Ikj9eUkJCAOXPmYOrUqW22jo0bN+LJJ59EZmYmNBr+fUnUEfAnmYjcTq/XIyIiQpZA9PXXX+P06dOYPHlym65n/PjxKC4uxubNm9t0PUTkOQxFRHTdpk+fjt27d+P111+HJEmQJAlnz55tsPts7dq1CAwMxMaNGxEXFweTyYRf/epXKCsrw7p169CtWzcEBQXh97//vdMuL4vFgqeeegpdunSBj48PEhMTsWvXriZrWr9+Pe688054e3s72hYvXozBgwfjvffeQ3R0NHx9ffHYY4/BarXi5ZdfRkREBMLCwvDSSy85XiOEwOLFixEdHQ2DwYDIyEj8/ve/d0zXarX42c9+hvXr17tnYxKR7LzkLoCI2q/XX38dJ06cQP/+/bFkyRIAQGhoKM6ePdtg3rKyMvz1r3/F+vXrUVxcjLvvvhu//OUvERgYiE2bNuHMmTOYPHkyhg0bhilTpgAAZs+ejWPHjmH9+vWIjIzEJ598gnHjxuHIkSPo1auXy5r27NmD+++/v0H76dOnsXnzZmzZsgWnT5/Gr371K5w5cwa9e/fG7t27sXfvXjz00ENITk5GYmIiPv74Y7z22mtYv349+vXrh5ycHBw6dMhpmUOHDsWyZctucCsSkVIwFBHRdQsICIBer4fJZEJEREST81ZVVeGtt95Cjx49AAC/+tWv8P777yM3Nxe+vr6Ij4/H6NGjsXPnTkyZMgXZ2dlYs2YNsrOzERkZCQB46qmnsGXLFqxZswZ/+tOfXK7n3LlzjvnrstlseO+99+Dn5+dYV2ZmJjZt2gSNRoO4uDj8+c9/xs6dO5GYmIjs7GxEREQgOTkZOp0O0dHRGDp0qNMyIyMjcf78edhsNo4rIuoA+FNMRB5hMpkcgQgAwsPD0a1bN/j6+jq15eXlAQCOHDkCq9WK3r17w9fX13HbvXs3Tp8+3eh6ysvLnXad1erWrRv8/Pyc1hUfH+8UZuqu/9e//jXKy8sRGxuLWbNm4ZNPPkF1dbXTMo1GI2w2GywWSyu3BhEpEXuKiMgjdDqd03NJkly22Ww2AEBJSQm0Wi0OHDgArVbrNF/dIFVfSEgICgoKbnj9UVFRyMzMxJdffolt27bhsccew/Lly7F7927H6/Lz8+Hj4wOj0djUWyeidoKhiIhuiF6vb5PzAd10002wWq3Iy8vD8OHDW/W6Y8eOuaUGo9GIiRMnYuLEiUhNTUWfPn1w5MgR3HzzzQCAjIwM3HTTTW5ZFxHJj6GIiG5It27dsG/fPpw9exa+vr4IDg52y3J79+6NqVOn4sEHH8Srr76Km266CZcvX8b27dsxcOBATJgwweXrUlJSsG7duhte/9q1a2G1WpGYmAiTyYR//vOfMBqNiImJccyzZ88ejB079obXRUTKwDFFRHRDnnrqKWi1WsTHxyM0NBTZ2dluW/aaNWvw4IMPYu7cuYiLi8OkSZPw3XffITo6utHXTJ06FUePHkVmZuYNrTswMBDvvPMOhg0bhoEDB+LLL7/E559/jk6dOgEALly4gL1792LGjBk3tB4iUg6e0ZqIOpx58+bBbDZj9erVbbaO+fPno6CgAH/729/abB1E5FnsKSKiDueZZ55BTEyMY9B0WwgLC8OLL77YZssnIs9jTxERERER2FNEREREBIChiIiIiAgAQxERERERAIYiIiIiIgAMRUREREQAGIqIiIiIADAUEREREQFgKCIiIiICwFBEREREBAD4/wWX6kV6Vj2kAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.compartment import plot_traces\n",
+    "\n",
+    "_ = plot_traces(config_file='config.voltage_clamp.json', report_name='membrane_potential', population='net', node_ids=[0, 1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "15e5748c-1900-4701-a0f9-17eb27ab7311",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "## 4. Example: Using sweep data from the Allen Cell-Types Database <a class=\"anchor\" id=\"example-cell-types\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "71d64192-60e2-4dc3-91cb-6ebf4a9cb3b8",
+   "metadata": {},
+   "source": [
+    "When creating the [Cell-Type Database at the Allen Insitute](https://celltypes.brain-map.org/data), a wide range of clamping stimuli was used in the process of optimizing the parameters for the thousands of human and mouse cell models. BMTK allows the option to download and import these stimuli directly into single and multi-cell simulations (for both BioNet and PointNet). Thus allowing users to apply the same conditions for their own models. Or as just a way to use much more advanced and realistic current-clamping stimuli that would be difficult to rebuild from scratch."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "65fea49d-b3cf-44ef-9a67-a23afb061710",
+   "metadata": {},
+   "source": [
+    "### Step 1: Downloading the data\n",
+    "\n",
+    "First step is determine which experimental conditions we want to replicate and which stimlus types to use. Different cells were in the Allen Cell Types Database were optimized and tested against different types current clamps. For example if we look at the electrophysiology page for [cell 488683425](https://celltypes.brain-map.org/experiment/electrophysiology/488683425) we can see we have stimulus types including `Long square`, `Noise`, `Ramp`, `Short Square` and `Square`. And for each types there are different *sweeps* where amplitudes and times were varied between trials:\n",
+    "\n",
+    "<br>\n",
+    "<div>\n",
+    "  <img src=\"../images/cell_types_screen.png\" width=\"1000\" align=\"center\" style=\"margin-left:5px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "If you click on the \"`Download Data`\" file it will download an ecephy.nwb file containing all the *sweep* available for said experiment. You just need to put it in a directory that can be accessed by BMTK. If you need a more programatically way to download multiple ecephy files you can use the AllenSDK, and BMTK also includes helper functions to download the data. You can run the following in a command-line:\n",
+    "```bash\n",
+    "$ python -m bmtk.utils.cell_types_db download_ephys_data --specimen-id=488683425 --download-dir=ecephys_inputs\n",
+    "```\n",
+    "\n",
+    "Or through the notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "c8217ae3-8eee-481e-a28d-f2fcb9371cbb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bmtk.utils.cell_types_db import download_ephys_data\n",
+    "\n",
+    "download_ephys_data(\n",
+    "    specimen_id=488683425,\n",
+    "    download_dir='ephys_inputs'\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8eedfa8e-79e1-4623-af03-b947ab5a7c60",
+   "metadata": {},
+   "source": [
+    "Due to the size of the files and available internet speeds it may take some time to fully donwload the nwb file(s). But when it does it will save the file into the local *ephy_inputs/* directory."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01684297-31ef-4902-acc3-3d68a5bf6152",
+   "metadata": {},
+   "source": [
+    "### (Optional) Step 2: Downloading cell model data\n",
+    "\n",
+    "The downloaded ephys data can be used with any cell-type (even cells that are not from the Allen Cell-Types Database). However for testing and replication purposes you may want to run the downloaded ephys data on the original cell. If you click on `Select neuronal model` button on the page it will give you an option to download a possible GLIF Model (which can be ran using PointNet) or a Biophysical (ran using BioNet) model. This will download a zip file containing the *fit_parameters.json` which you can use as the **dynamics_params** in you SONATA network. Also for Biophysical models it will contain the file *reconstruction.swc* which is the **morphology** swc file for the specific cell. You can move these file(s) into their appropiate *components/* directory and rebuild/modify the SONATA network file so that **dynamics_params** and **morphology** points to the correct paths.\n",
+    "\n",
+    "Alternatively you can use BMTK to download, move and rename the files for you. In the command line you can run:\n",
+    "```bash\n",
+    "$ python -m bmtk.utils.cell_types_db download_model --specimen-id=488683425 --model-dir=\"components\" --model-type=\"Biophysical - all active\"\n",
+    "```\n",
+    "\n",
+    "or in python\n",
+    "```python\n",
+    "model_dir = download_model(\n",
+    "    specimen_id=488683425,\n",
+    "    model_dir='components',\n",
+    "    model_type='Biophysical - all active'\n",
+    ")\n",
+    "```\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2bd6923b-ca11-4f27-b409-01333c08de24",
+   "metadata": {},
+   "source": [
+    "### Step 3: Set the configuration\n",
+    "\n",
+    "To use the downloaded ephys.nwb file we just need to create an \"inputs sections with **module** set to `iclamp` and **input_type** set to `allen`. Use the **file** option to point to the path of our downloaded nwb file. And finally we must select our **sweep** number. In this case we'll use swepp #35 which is just a 1 second long-square current.\n",
+    "\n",
+    "```json\n",
+    "\"inputs\": {\n",
+    "    \"current_clamp_allen\": {\n",
+    "        \"module\": \"IClamp\",\n",
+    "        \"input_type\": \"allen\",\n",
+    "        \"node_set\": \"all\",\n",
+    "        \"file\": \"${INPUT_DIR}/488683423_ephys.nwb\",\n",
+    "        \"sweep_id\": \"35\"\n",
+    "    }\n",
+    "}\n",
+    "```\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c4edd959-9003-41ac-b2b4-4e6c1c3418a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-05-05 14:54:45,142 [INFO] Created log file\n",
+      "2024-05-05 14:54:45,243 [INFO] Building cells.\n",
+      "2024-05-05 14:54:45,490 [INFO] Building recurrent connections\n",
+      "2024-05-05 14:54:45,857 [INFO] Running simulation for 3000.000 ms with the time step 0.100 ms\n",
+      "2024-05-05 14:54:45,858 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-05-05 14:54:45,859 [INFO] Block save every 5000 steps\n",
+      "2024-05-05 14:54:53,078 [INFO]     step:5000 t_sim:500.00 ms\n",
+      "2024-05-05 14:55:00,473 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-05-05 14:55:07,069 [INFO]     step:15000 t_sim:1500.00 ms\n",
+      "2024-05-05 14:55:13,562 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-05-05 14:55:20,164 [INFO]     step:25000 t_sim:2500.00 ms\n",
+      "2024-05-05 14:55:26,899 [INFO]     step:30000 t_sim:3000.00 ms\n",
+      "2024-05-05 14:55:26,917 [INFO] Simulation completed in 41.06 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.cell_types.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "37cb859a-6e33-4f34-88e4-ff8c2e0b50c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.compartment import plot_traces\n",
+    "_ = plot_traces(config_file='config.cell_types.json',  node_ids=[0], report_name='membrane_potential')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7b037df1-25bf-4cc0-aa8d-cc6a9abd3628",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "## 5. Example: Extracellular Stimulation <a class=\"anchor\" id=\"example-xstim\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "560a29e1-14eb-4e40-95ac-49a91725ed15",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\">\n",
+    "⚠️ NOTE: This feature will only work for in BioNet using morphologically detailed cells.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2771c93-0e51-45d9-9f13-c44a23a52d3e",
+   "metadata": {},
+   "source": [
+    "The *BioNet* simulator has optional input stimulus an electrical field inpulse, thus allowing you to simulation of deep brain stimulation or transcranial magnetic stimulation. One more more electrodes (or a mesh) can be readily inserted and removed into most networks and used along side other stimuli through simple changes to the SONATA config. However, take note that this can only be applied to cells with a extracelluar condunctance, such as morphologically detailed \"biophysical\" cells or even simple single-compartment \"soma\" cells, but won't work for intergrate and fire type neurons in the network.\n",
+    "\n",
+    "When extracellular stimulation(s) are inserted into a simulation, the effect the generated filed has on the extracellular membrane of each cell compartment will depend on the geometric relationship between the cell and the electrode(s). Thus it is important that we specify the **x**, **y**, **z** attributes for each cell, plus make sure the cell is rotated properly (as specified by attributes **rotation_angle_x**, **rotation_angle_y**, **rotation_angle_z**). Once we have such a network (see *build_network.xstim.py*) we can go ahead and insert an extracellular stimulation into a simulation by adding to the **\"inputs\"** section of the SONATA config like such:\n",
+    "\n",
+    "``` json\n",
+    "  \"inputs\": {\n",
+    "    \"Extracellular_Stim\": {\n",
+    "      \"module\": \"xstim\",\n",
+    "      \"input_type\": \"lfp\",\n",
+    "      \"node_set\": {\n",
+    "        \"model_type\": \"biophysical\"\n",
+    "      },\n",
+    "      \"positions_file\": \"components/stimulations/xstim_coords.csv\",\n",
+    "      \"resistance\": 300.0,\n",
+    "      \"waveform\": {\n",
+    "        \"shape\": \"sin\",\n",
+    "        \"del\": 1000.0,\n",
+    "        \"amp\": 0.100,\n",
+    "        \"dur\": 2000.0,\n",
+    "        \"freq\": 8.0,\n",
+    "        \"phase\": 0.0\n",
+    "      }\n",
+    "    }\n",
+    "  }\n",
+    "```\n",
+    "* You must set **module** to \"xstim\" and **input_type** to \"lfp\" to signal to bmtk the mod of stimulus to apply\n",
+    "* The **node_set** is used to filter out which subset of cells in the network to apply the xstim. In this case we want to apply it to all \"biophysical\" type cells (in this example all are cells are \"biophysical\", but in mixed networks it's important otherwise bmtk can fail when applying stimlus to \"point-neuron\" type cells).\n",
+    "* Set the extracellular resistance between the electrode(s) and the cells to \n",
+    "* The **waveform** is set to generate a sin-wave shaped stimuli, starting at 1000 ms (**del**) that will run for 2000 ms (**dur**) with a maximum amplitude of .100 nA (**amp**). \n",
+    "* Lastly the **positions_file** is used to specify the coordinates and rotations of the electrodes. It should be a space-separated file with each row being the location of a different electrode. In our case we are only applying a single electrode\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cb948bb9-33ac-4842-b3cd-ccaffb10f1f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ip</th>\n",
+       "      <th>pos_x</th>\n",
+       "      <th>pos_y</th>\n",
+       "      <th>pos_z</th>\n",
+       "      <th>rotation_x</th>\n",
+       "      <th>rotation_y</th>\n",
+       "      <th>rotation_z</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>6.18034</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>19.02113</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ip    pos_x  pos_y     pos_z  rotation_x  rotation_y  rotation_z\n",
+       "0   0  6.18034    0.0  19.02113         0.0         0.0         0.0"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "pd.read_csv('components/stimulations/xstim_coords.csv', sep=' ')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7772db17-16a0-4280-8d3e-c7af238e2747",
+   "metadata": {},
+   "source": [
+    "Now we can run the simulation as normal and show the varying results in terms of changes to cell membrane potentials"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "aeca0247-d98e-4f2b-bcd7-f61f1a992a90",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-06-24 14:27:32,061 [INFO] Created log file\n",
+      "2024-06-24 14:27:32,109 [INFO] Building cells.\n",
+      "2024-06-24 14:27:32,303 [INFO] Building recurrent connections\n",
+      "2024-06-24 14:27:32,480 [INFO] Running simulation for 4000.000 ms with the time step 0.100 ms\n",
+      "2024-06-24 14:27:32,481 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-06-24 14:27:32,482 [INFO] Block save every 10000 steps\n",
+      "2024-06-24 14:27:40,453 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-06-24 14:27:48,758 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-06-24 14:27:56,865 [INFO]     step:30000 t_sim:3000.00 ms\n",
+      "2024-06-24 14:28:04,825 [INFO]     step:40000 t_sim:4000.00 ms\n",
+      "2024-06-24 14:28:04,834 [INFO] Simulation completed in 32.35 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.xstim_sin.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "e8741b5f-dee6-4313-b8f7-ce7493693e8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.compartment import plot_traces\n",
+    "\n",
+    "_ = plot_traces(config_file='config.xstim_sin.json', report_name='membrane_potential', population='bio')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "845720d4-5c92-49b7-805e-7f4f8d5c9f84",
+   "metadata": {},
+   "source": [
+    "### More advanced wave-forms"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4274f41b-76fd-4890-99d8-0a85cb9e4737",
+   "metadata": {},
+   "source": [
+    "In the above example we set it so the stimulus will generate a sin-wave at the electrode site. BMTK has a number of built-in shapes available, including a sin-wave a a direct-current (**waveform**: \"dc\")\n",
+    "\n",
+    "```json\n",
+    "  \"inputs\": {\n",
+    "    \"Extracellular_Stim\": {\n",
+    "      \"module\": \"xstim\",\n",
+    "      \"input_type\": \"lfp\",\n",
+    "      \"node_set\": {\n",
+    "        \"model_type\": \"biophysical\"\n",
+    "      },\n",
+    "      \"positions_file\": \"$STIM_DIR/xstim_coords.csv\",\n",
+    "      \"resistance\": 300.0,\n",
+    "      \"waveform\": {\n",
+    "        \"shape\": \"dc\",\n",
+    "        \"del\": 1000.0,\n",
+    "        \"amp\": 0.400,\n",
+    "        \"dur\": 1000.0\n",
+    "      }\n",
+    "    }\n",
+    "  },\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "fb774bc5-c74c-40e9-941a-029099f0e3ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-06-24 14:33:33,694 [INFO] Created log file\n",
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-06-24 14:33:33,718 [INFO] Building cells.\n",
+      "2024-06-24 14:33:33,993 [INFO] Building recurrent connections\n",
+      "2024-06-24 14:33:34,190 [INFO] Running simulation for 3000.000 ms with the time step 0.100 ms\n",
+      "2024-06-24 14:33:34,191 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-06-24 14:33:34,193 [INFO] Block save every 10000 steps\n",
+      "2024-06-24 14:33:49,082 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-06-24 14:34:03,980 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-06-24 14:34:19,004 [INFO]     step:30000 t_sim:3000.00 ms\n",
+      "2024-06-24 14:34:19,019 [INFO] Simulation completed in 44.83 seconds \n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.xstim_dc.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()\n",
+    "\n",
+    "_ = plot_traces(config_file='config.xstim_dc.json', report_name='membrane_potential', population='bio')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84dfa32f-bf00-403f-91df-63666e739c47",
+   "metadata": {},
+   "source": [
+    "Or alternatively, instead of having BMTK try to generate a shape for us, we can create the stimlus waveform ourselves. To do so we just need to create a space-separated csv file with columns **time** (ms) and **amplitude** (nA) and set the **waveform** attribute in our csv file to the path of the file.\n",
+    "\n",
+    "For example, the following lines of code will generate a slow ramping csv file that will go from -0.100 nA to 0.500 nA within a 3 second window, and save it under *./inputs/ramping_xstim.csv*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "ebeb4ca8-dbcd-4ca1-a351-db6b108d0ee1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7ff27ad9c850>]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "time = np.linspace(0.0, 3000.0, 1000)\n",
+    "amplitude = time*0.0002-.100\n",
+    "\n",
+    "pd.DataFrame({\n",
+    "    'time': time,\n",
+    "    'amplitude': amplitude\n",
+    "}).to_csv('inputs/ramping_xstim.csv', sep=' ', index=False)\n",
+    "plt.plot(time, amplitude)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8389a2d5-ab46-45ca-ba45-cb69d8384be9",
+   "metadata": {},
+   "source": [
+    "Then in our configuration file we just need to change the **waveform** attribute to point to the location of our customized file\n",
+    "\n",
+    "```json\n",
+    "  \"inputs\": {\n",
+    "    \"Extracellular_Stim\": {\n",
+    "      \"module\": \"xstim\",\n",
+    "      \"input_type\": \"lfp\",\n",
+    "      \"node_set\": {\n",
+    "        \"model_type\": \"biophysical\"\n",
+    "      },\n",
+    "      \"positions_file\": \"$STIM_DIR/xstim_coords.csv\",\n",
+    "      \"resistance\": 300.0,\n",
+    "      \"waveform\": \"inputs/ramping_xstim.csv\"\n",
+    "    }\n",
+    "  }\n",
+    "```\n",
+    "\n",
+    "And run it like before"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "939f38fc-5376-4dd4-a22e-31666b6e753c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-06-24 14:42:31,518 [INFO] Created log file\n",
+      "Mechanisms already loaded from path: ./components/mechanisms.  Aborting.\n",
+      "2024-06-24 14:42:31,541 [INFO] Building cells.\n",
+      "2024-06-24 14:42:31,826 [INFO] Building recurrent connections\n",
+      "2024-06-24 14:42:32,029 [INFO] Running simulation for 3000.000 ms with the time step 0.100 ms\n",
+      "2024-06-24 14:42:32,030 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-06-24 14:42:32,031 [INFO] Block save every 10000 steps\n",
+      "2024-06-24 14:42:55,386 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-06-24 14:43:21,217 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-06-24 14:43:50,595 [INFO]     step:30000 t_sim:3000.00 ms\n",
+      "2024-06-24 14:43:50,609 [INFO] Simulation completed in 78.58 seconds \n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.xstim_custom.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "graph = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=graph)\n",
+    "sim.run()\n",
+    "\n",
+    "_ = plot_traces(config_file='config.xstim_custom.json', report_name='membrane_potential', population='bio')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52c99a2e-c291-49ce-b924-6c896a6781b3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/build_network.cell_types.py b/docs/tutorial/04_opt_advanced_inputs/build_network.cell_types.py
new file mode 100644
index 00000000..fc58cd4e
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/build_network.cell_types.py
@@ -0,0 +1,15 @@
+from bmtk.builder.networks import NetworkBuilder
+
+net = NetworkBuilder(f'bio_488683425_fullstub')
+net.add_nodes(
+    N=1,
+    model_type='biophysical',
+    model_template='ctdb:Biophys1.hoc',
+    model_processing='aibs_allactive_fullaxon',
+    morphology=f'491766131_m.swc',
+    dynamics_params=f'491766131_fit.json',
+    specimen_id=488683425
+)
+
+net.build()
+net.save(output_dir='network_cell_types')
diff --git a/docs/tutorial/04_opt_advanced_inputs/build_network.current_clamp.py b/docs/tutorial/04_opt_advanced_inputs/build_network.current_clamp.py
new file mode 100644
index 00000000..9e0e6ae9
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/build_network.current_clamp.py
@@ -0,0 +1,20 @@
+import numpy as np
+from bmtk.builder.networks import NetworkBuilder
+
+net = NetworkBuilder('net')
+net.add_nodes(
+    N=5,
+    x=[0.0]*5,
+    y=np.linspace(0.0, -100.0, num=5),
+    z=[0.0]*5,
+    rotation_angle_xaxis=0.0,
+    rotation_angle_yaxis=0.0,
+    rotation_angle_zaxis=-3.646878266,
+    model_type='biophysical',
+    model_template='ctdb:Biophys1.hoc',
+    model_processing='aibs_perisomatic',
+    dynamics_params='472363762_fit.json',
+    morphology='Scnn1a_473845048_m.swc'
+)
+net.build()
+net.save(output_dir='network_current_clamp')
diff --git a/docs/tutorial/04_opt_advanced_inputs/build_network.voltage_clamp.py b/docs/tutorial/04_opt_advanced_inputs/build_network.voltage_clamp.py
new file mode 100644
index 00000000..54763b7e
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/build_network.voltage_clamp.py
@@ -0,0 +1,32 @@
+import numpy as np
+from bmtk.builder.networks import NetworkBuilder
+
+net = NetworkBuilder('net')
+net.add_nodes(
+    N=2,
+    x=[0.0]*2,
+    y=np.linspace(0.0, -100.0, num=2),
+    z=[0.0]*2,
+    rotation_angle_xaxis=0.0,
+    rotation_angle_yaxis=0.0,
+    rotation_angle_zaxis=-3.646878266,
+    model_type='biophysical',
+    model_template='ctdb:Biophys1.hoc',
+    model_processing='aibs_perisomatic',
+    dynamics_params='472363762_fit.json',
+    morphology='Scnn1a_473845048_m.swc'
+)
+
+net.add_edges(
+    source={'node_id': 0}, target={'node_id': 1},
+    connection_rule=20,
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    syn_weight=6.0e-01,
+    delay=30.0,
+    target_sections=['basal', 'apical', 'soma'],
+    distance_range=[0.0, 50.0]
+)
+
+net.build()
+net.save(output_dir='network_voltage_clamp')
diff --git a/docs/tutorial/04_opt_advanced_inputs/build_network.xstim.py b/docs/tutorial/04_opt_advanced_inputs/build_network.xstim.py
new file mode 100644
index 00000000..c52d4953
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/build_network.xstim.py
@@ -0,0 +1,60 @@
+import os
+import numpy as np
+
+from bmtk.builder import NetworkBuilder
+
+
+cell_models = [
+    {
+        'model_name': 'Scnn1a',
+        'ei': 'e',
+        'morphology': 'Scnn1a_473845048_m.swc',
+        'model_template': 'ctdb:Biophys1.hoc',
+        'dynamics_params': '472363762_fit.json',
+    },
+    {
+        'model_name': 'Rorb',
+        'ei': 'e',
+        'morphology': 'Rorb_325404214_m.swc',
+        'model_template': 'ctdb:Biophys1.hoc',
+        'dynamics_params': '473863510_fit.json',
+    },
+    {
+        'model_name': 'Nr5a1',
+        'ei': 'e',
+        'morphology': 'Nr5a1_471087815_m.swc',
+        'model_template': 'ctdb:Biophys1.hoc',
+        'dynamics_params': '473863035_fit.json',
+    },
+    {
+        'model_name': 'PV1',
+        'ei': 'i',
+        'morphology': 'Pvalb_470522102_m.swc',
+        'model_template': 'ctdb:Biophys1.hoc',
+        'dynamics_params': '472912177_fit.json',
+    },
+    {
+        'model_name': 'PV2',
+        'ei': 'i',
+        'morphology': 'Pvalb_469628681_m.swc',
+        'model_template': 'ctdb:Biophys1.hoc',
+        'dynamics_params': '473862421_fit.json',
+    }
+]
+
+bio_net = NetworkBuilder("bio")
+
+radius = 100.0
+dx = 2*np.pi/float(len(cell_models))
+for i, model_props in enumerate(cell_models):
+    bio_net.add_nodes(
+        model_type='biophysical',
+        model_processing='aibs_perisomatic',
+        x=[radius*np.cos(i*dx)],
+        y=[radius*np.sin(i*dx)],
+        z=[0.0],
+        **model_props
+    )
+
+bio_net.build()
+bio_net.save_nodes(output_dir='network_xstim')
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/472363762_fit.json b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/472363762_fit.json
new file mode 100644
index 00000000..99f0eb30
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/472363762_fit.json
@@ -0,0 +1,173 @@
+{
+  "passive": [
+    {
+      "ra": 138.28, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "axon", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "apic", 
+          "cm": 2.12
+        }, 
+        {
+          "section": "dend", 
+          "cm": 2.12
+        }
+      ], 
+      "e_pas": -92.49911499023438
+    }
+  ], 
+  "axon_morph": [
+    {
+      "delete_axon": [
+        "forsec axonal{delete_section()}", 
+        "  create axon[2]", 
+        "  axon[0]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "  axon[1]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "", 
+        "nSecAxonal = 2", 
+        "connect axon(0), soma(0.5)", 
+        "connect axon[1](0), axon[0](1) ", 
+        "access soma"
+      ], 
+      "setup_line": "create soma[1], dend[1], apic[1], axon[1]"
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        38
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -92.49911499023438
+    }
+  ], 
+  "genome": [
+    {
+      "value": 0.0012021154978800002, 
+      "section": "soma", 
+      "name": "gbar_Im", 
+      "mechanism": "Im"
+    }, 
+    {
+      "value": 4.12225901169e-05, 
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "mechanism": "Ih"
+    }, 
+    {
+      "value": 0.98228995892999993, 
+      "section": "soma", 
+      "name": "gbar_NaTs", 
+      "mechanism": "NaTs"
+    }, 
+    {
+      "value": 0.000209348990528, 
+      "section": "soma", 
+      "name": "gbar_Nap", 
+      "mechanism": "Nap"
+    }, 
+    {
+      "value": 0.051758360920800002, 
+      "section": "soma", 
+      "name": "gbar_K_P", 
+      "mechanism": "K_P"
+    }, 
+    {
+      "value": 0.00073160714529799998, 
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "mechanism": "K_T"
+    }, 
+    {
+      "value": 0.00019222004878899999, 
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "mechanism": "SK"
+    }, 
+    {
+      "value": 0.057264803402699994, 
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "value": 0.00053599731839199991, 
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "value": 0.0070061294358100008, 
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "value": 0.0012510775510599999, 
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 717.91660042899991, 
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 5.71880766722e-06, 
+      "section": "soma", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 0.00045738760076499994, 
+      "section": "axon", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 3.2393273274400003e-06, 
+      "section": "dend", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 9.5861855476200007e-05, 
+      "section": "apic", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/472912177_fit.json b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/472912177_fit.json
new file mode 100644
index 00000000..f06b7f73
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/472912177_fit.json
@@ -0,0 +1,163 @@
+{
+  "passive": [
+    {
+      "ra": 143.65, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 2.16
+        }, 
+        {
+          "section": "axon", 
+          "cm": 2.16
+        }, 
+        {
+          "section": "dend", 
+          "cm": 2.16
+        }
+      ], 
+      "e_pas": -95.53709411621094
+    }
+  ], 
+  "axon_morph": [
+    {
+      "delete_axon": [
+        "forsec axonal{delete_section()}", 
+        "  create axon[2]", 
+        "  axon[0]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "  axon[1]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "", 
+        "nSecAxonal = 2", 
+        "connect axon(0), soma(0.5)", 
+        "connect axon[1](0), axon[0](1) ", 
+        "access soma"
+      ], 
+      "setup_line": "create soma[1], dend[1], apic[1], axon[1]"
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        55
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -95.53709411621094
+    }
+  ], 
+  "genome": [
+    {
+      "value": 5.1162860430100002e-05, 
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "mechanism": "Ih"
+    }, 
+    {
+      "value": 0.058520185129300004, 
+      "section": "soma", 
+      "name": "gbar_NaV", 
+      "mechanism": "NaV"
+    }, 
+    {
+      "value": 0.00031192529327399998, 
+      "section": "soma", 
+      "name": "gbar_Kd", 
+      "mechanism": "Kd"
+    }, 
+    {
+      "value": 0.051060238264300006, 
+      "section": "soma", 
+      "name": "gbar_Kv2like", 
+      "mechanism": "Kv2like"
+    }, 
+    {
+      "value": 0.65076055389700005, 
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "value": 0.033385946416300001, 
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "mechanism": "K_T"
+    }, 
+    {
+      "value": 0.00775048605222, 
+      "section": "soma", 
+      "name": "gbar_Im_v2", 
+      "mechanism": "Im_v2"
+    }, 
+    {
+      "value": 0.0027340091995900003, 
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "mechanism": "SK"
+    }, 
+    {
+      "value": 0.00056478972054199987, 
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "value": 0.0032114779487500003, 
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "value": 0.0077204433411699998, 
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 20.300246788599999, 
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 0.00026705534351299998, 
+      "section": "soma", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 0.00066246357111199989, 
+      "section": "axon", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 9.8019833221899986e-06, 
+      "section": "dend", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/473862421_fit.json b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/473862421_fit.json
new file mode 100644
index 00000000..9a4e6d16
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/473862421_fit.json
@@ -0,0 +1,163 @@
+{
+  "passive": [
+    {
+      "ra": 138.99, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 1.94
+        }, 
+        {
+          "section": "axon", 
+          "cm": 1.94
+        }, 
+        {
+          "section": "dend", 
+          "cm": 1.94
+        }
+      ], 
+      "e_pas": -88.23363494873047
+    }
+  ], 
+  "axon_morph": [
+    {
+      "delete_axon": [
+        "forsec axonal{delete_section()}", 
+        "  create axon[2]", 
+        "  axon[0]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "  axon[1]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "", 
+        "nSecAxonal = 2", 
+        "connect axon(0), soma(0.5)", 
+        "connect axon[1](0), axon[0](1) ", 
+        "access soma"
+      ], 
+      "setup_line": "create soma[1], dend[1], apic[1], axon[1]"
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        58
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -88.23363494873047
+    }
+  ], 
+  "genome": [
+    {
+      "value": 0.00030357031297000004, 
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "mechanism": "Ih"
+    }, 
+    {
+      "value": 0.052161472289300001, 
+      "section": "soma", 
+      "name": "gbar_NaV", 
+      "mechanism": "NaV"
+    }, 
+    {
+      "value": 0.0033126476739899998, 
+      "section": "soma", 
+      "name": "gbar_Kd", 
+      "mechanism": "Kd"
+    }, 
+    {
+      "value": 0.019206276717599998, 
+      "section": "soma", 
+      "name": "gbar_Kv2like", 
+      "mechanism": "Kv2like"
+    }, 
+    {
+      "value": 1.2128893375100001, 
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "value": 1.4016010650299999e-05, 
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "mechanism": "K_T"
+    }, 
+    {
+      "value": 0.0011153668151199999, 
+      "section": "soma", 
+      "name": "gbar_Im_v2", 
+      "mechanism": "Im_v2"
+    }, 
+    {
+      "value": 0.048152669735999999, 
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "mechanism": "SK"
+    }, 
+    {
+      "value": 0.0, 
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "value": 0.0, 
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "value": 0.046090335451600004, 
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 574.74935741900003, 
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 0.00058689407428699997, 
+      "section": "soma", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 0.0009617982321389999, 
+      "section": "axon", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 4.1690838408899998e-07, 
+      "section": "dend", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/473863035_fit.json b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/473863035_fit.json
new file mode 100644
index 00000000..35967ea0
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/473863035_fit.json
@@ -0,0 +1,173 @@
+{
+  "passive": [
+    {
+      "ra": 122.88, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "axon", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "apic", 
+          "cm": 2.28
+        }, 
+        {
+          "section": "dend", 
+          "cm": 2.28
+        }
+      ], 
+      "e_pas": -89.4614028930664
+    }
+  ], 
+  "axon_morph": [
+    {
+      "delete_axon": [
+        "forsec axonal{delete_section()}", 
+        "  create axon[2]", 
+        "  axon[0]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "  axon[1]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "", 
+        "nSecAxonal = 2", 
+        "connect axon(0), soma(0.5)", 
+        "connect axon[1](0), axon[0](1) ", 
+        "access soma"
+      ], 
+      "setup_line": "create soma[1], dend[1], apic[1], axon[1]"
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        41
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -89.4614028930664
+    }
+  ], 
+  "genome": [
+    {
+      "value": 0.00204889965055, 
+      "section": "soma", 
+      "name": "gbar_Im", 
+      "mechanism": "Im"
+    }, 
+    {
+      "value": 3.7269252291999993e-05, 
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "mechanism": "Ih"
+    }, 
+    {
+      "value": 0.60927080502300002, 
+      "section": "soma", 
+      "name": "gbar_NaTs", 
+      "mechanism": "NaTs"
+    }, 
+    {
+      "value": 6.2161868365100004e-05, 
+      "section": "soma", 
+      "name": "gbar_Nap", 
+      "mechanism": "Nap"
+    }, 
+    {
+      "value": 0.018147424450599997, 
+      "section": "soma", 
+      "name": "gbar_K_P", 
+      "mechanism": "K_P"
+    }, 
+    {
+      "value": 0.000555828337834, 
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "mechanism": "K_T"
+    }, 
+    {
+      "value": 0.00041743171143300003, 
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "mechanism": "SK"
+    }, 
+    {
+      "value": 0.12468487969900001, 
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "value": 0.00097272189665800009, 
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "value": 0.0066296509568100001, 
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "value": 0.00071152004894800005, 
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 798.67999240300003, 
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 0.00054589151280800012, 
+      "section": "soma", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 0.00021542161812900001, 
+      "section": "axon", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 6.2827249623699998e-06, 
+      "section": "dend", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 5.9318998497700001e-06, 
+      "section": "apic", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/473863510_fit.json b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/473863510_fit.json
new file mode 100644
index 00000000..e5f322e8
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/473863510_fit.json
@@ -0,0 +1,173 @@
+{
+  "passive": [
+    {
+      "ra": 35.64, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "axon", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "apic", 
+          "cm": 2.19
+        }, 
+        {
+          "section": "dend", 
+          "cm": 2.19
+        }
+      ], 
+      "e_pas": -85.07815551757812
+    }
+  ], 
+  "axon_morph": [
+    {
+      "delete_axon": [
+        "forsec axonal{delete_section()}", 
+        "  create axon[2]", 
+        "  axon[0]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "  axon[1]{", 
+        "    L= 30", 
+        "    diam = 1", 
+        "    nseg = 1+2*int(L/40)", 
+        "    all.append()", 
+        "    axonal.append()", 
+        "  }", 
+        "", 
+        "nSecAxonal = 2", 
+        "connect axon(0), soma(0.5)", 
+        "connect axon[1](0), axon[0](1) ", 
+        "access soma"
+      ], 
+      "setup_line": "create soma[1], dend[1], apic[1], axon[1]"
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        38
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -85.07815551757812
+    }
+  ], 
+  "genome": [
+    {
+      "value": 0.00043788364247700001, 
+      "section": "soma", 
+      "name": "gbar_Im", 
+      "mechanism": "Im"
+    }, 
+    {
+      "value": 0.0019922075246600001, 
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "mechanism": "Ih"
+    }, 
+    {
+      "value": 0.71282189194800005, 
+      "section": "soma", 
+      "name": "gbar_NaTs", 
+      "mechanism": "NaTs"
+    }, 
+    {
+      "value": 0.0012493753876800001, 
+      "section": "soma", 
+      "name": "gbar_Nap", 
+      "mechanism": "Nap"
+    }, 
+    {
+      "value": 0.034836377263399998, 
+      "section": "soma", 
+      "name": "gbar_K_P", 
+      "mechanism": "K_P"
+    }, 
+    {
+      "value": 0.0166428509042, 
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "mechanism": "K_T"
+    }, 
+    {
+      "value": 0.00024972209054299998, 
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "mechanism": "SK"
+    }, 
+    {
+      "value": 0.28059766435600003, 
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "value": 0.00015339031713199999, 
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "value": 0.0033469316039000004, 
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "value": 0.0040218816981199999, 
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 991.140696832, 
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "value": 0.00092865666454699993, 
+      "section": "soma", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 0.00091423093354899986, 
+      "section": "axon", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 3.8264043188599994e-06, 
+      "section": "dend", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }, 
+    {
+      "value": 2.11145615996e-06, 
+      "section": "apic", 
+      "name": "g_pas", 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/491766131_fit.json b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/491766131_fit.json
new file mode 100644
index 00000000..11c6b471
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/biophysical_neuron_templates/491766131_fit.json
@@ -0,0 +1,297 @@
+{
+  "passive": [
+    {
+      "ra": 100
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        38
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }, 
+        {
+          "ena": 53.0, 
+          "section": "axon", 
+          "ek": -107.0
+        }, 
+        {
+          "ena": 53.0, 
+          "section": "apic", 
+          "ek": -107.0
+        }, 
+        {
+          "ena": 53.0, 
+          "section": "dend", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -90
+    }
+  ], 
+  "genome": [
+    {
+      "section": "soma", 
+      "name": "g_pas", 
+      "value": "0.000119174", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "soma", 
+      "name": "e_pas", 
+      "value": "-76.4024", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "axon", 
+      "name": "g_pas", 
+      "value": "0.00147346", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "axon", 
+      "name": "e_pas", 
+      "value": "-64.8595", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "apic", 
+      "name": "g_pas", 
+      "value": "0.00041148", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "apic", 
+      "name": "e_pas", 
+      "value": "-81.3599", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "dend", 
+      "name": "g_pas", 
+      "value": "9.57001e-05", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "dend", 
+      "name": "e_pas", 
+      "value": "-88.2554", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "soma", 
+      "name": "cm", 
+      "value": "4.21567", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "soma", 
+      "name": "Ra", 
+      "value": "133.577", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "axon", 
+      "name": "cm", 
+      "value": "9.0228", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "axon", 
+      "name": "Ra", 
+      "value": "80.3823", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "apic", 
+      "name": "cm", 
+      "value": "8.34542", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "apic", 
+      "name": "Ra", 
+      "value": "136.032", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "dend", 
+      "name": "cm", 
+      "value": "2.11248", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "dend", 
+      "name": "Ra", 
+      "value": "68.355", 
+      "mechanism": ""
+    }, 
+    {
+      "section": "axon", 
+      "name": "gbar_NaV", 
+      "value": "0.035766", 
+      "mechanism": "NaV"
+    }, 
+    {
+      "section": "axon", 
+      "name": "gbar_K_T", 
+      "value": "7.51307e-05", 
+      "mechanism": "K_T"
+    }, 
+    {
+      "section": "axon", 
+      "name": "gbar_Kd", 
+      "value": "0.00700751", 
+      "mechanism": "Kd"
+    }, 
+    {
+      "section": "axon", 
+      "name": "gbar_Kv2like", 
+      "value": "0.0675078", 
+      "mechanism": "Kv2like"
+    }, 
+    {
+      "section": "axon", 
+      "name": "gbar_Kv3_1", 
+      "value": "0.592911", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "section": "axon", 
+      "name": "gbar_SK", 
+      "value": "0.000701147", 
+      "mechanism": "SK"
+    }, 
+    {
+      "section": "axon", 
+      "name": "gbar_Ca_HVA", 
+      "value": "2.17253e-06", 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "section": "axon", 
+      "name": "gbar_Ca_LVA", 
+      "value": "0.00698184", 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "section": "axon", 
+      "name": "gamma_CaDynamics", 
+      "value": "0.0416279", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "axon", 
+      "name": "decay_CaDynamics", 
+      "value": "226.076", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_NaV", 
+      "value": "0.0499779", 
+      "mechanism": "NaV"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "value": "0.000733676", 
+      "mechanism": "SK"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "value": "0.186718", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "value": "9.96973e-05", 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "value": "0.00344495", 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "value": "0.0177038", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "value": "42.2507", 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "value": "1.07608e-07", 
+      "mechanism": "Ih"
+    }, 
+    {
+      "section": "apic", 
+      "name": "gbar_NaV", 
+      "value": "0.000375636", 
+      "mechanism": "NaV"
+    }, 
+    {
+      "section": "apic", 
+      "name": "gbar_Kv3_1", 
+      "value": "0.797015", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "section": "apic", 
+      "name": "gbar_Im_v2", 
+      "value": "0.00854163", 
+      "mechanism": "Im_v2"
+    }, 
+    {
+      "section": "apic", 
+      "name": "gbar_Ih", 
+      "value": "7.40408e-07", 
+      "mechanism": "Ih"
+    }, 
+    {
+      "section": "dend", 
+      "name": "gbar_NaV", 
+      "value": "0.0472215", 
+      "mechanism": "NaV"
+    }, 
+    {
+      "section": "dend", 
+      "name": "gbar_Kv3_1", 
+      "value": "0.186859", 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "section": "dend", 
+      "name": "gbar_Im_v2", 
+      "value": "0.00132163", 
+      "mechanism": "Im_v2"
+    }, 
+    {
+      "section": "dend", 
+      "name": "gbar_Ih", 
+      "value": "9.18815e-06", 
+      "mechanism": "Ih"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/CaDynamics.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/CaDynamics.mod
new file mode 100644
index 00000000..12af0659
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/CaDynamics.mod
@@ -0,0 +1,40 @@
+: Dynamics that track inside calcium concentration
+: modified from Destexhe et al. 1994
+
+NEURON	{
+	SUFFIX CaDynamics
+	USEION ca READ ica WRITE cai
+	RANGE decay, gamma, minCai, depth
+}
+
+UNITS	{
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+	FARADAY = (faraday) (coulombs)
+	(molar) = (1/liter)
+	(mM) = (millimolar)
+	(um)	= (micron)
+}
+
+PARAMETER	{
+	gamma = 0.05 : percent of free calcium (not buffered)
+	decay = 80 (ms) : rate of removal of calcium
+	depth = 0.1 (um) : depth of shell
+	minCai = 1e-4 (mM)
+}
+
+ASSIGNED	{ica (mA/cm2)}
+
+INITIAL {
+	cai = minCai
+}
+
+STATE	{
+	cai (mM)
+}
+
+BREAKPOINT	{ SOLVE states METHOD cnexp }
+
+DERIVATIVE states	{
+	cai' = -(10000)*(ica*gamma/(2*FARADAY*depth)) - (cai - minCai)/decay
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Ca_HVA.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Ca_HVA.mod
new file mode 100644
index 00000000..84db2d3c
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Ca_HVA.mod
@@ -0,0 +1,82 @@
+: Reference:		Reuveni, Friedman, Amitai, and Gutnick, J.Neurosci. 1993
+
+NEURON	{
+	SUFFIX Ca_HVA
+	USEION ca READ eca WRITE ica
+	RANGE gbar, g, ica 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+}
+
+ASSIGNED	{
+	v	(mV)
+	eca	(mV)
+	ica	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{ 
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ica = g*(v-eca)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+    :   if((v == -27) ){        
+    :       v = v+0.0001
+    :   }
+		:mAlpha =  (0.055*(-27-v))/(exp((-27-v)/3.8) - 1)
+		mAlpha = 0.055 * vtrap(-27 - v, 3.8)        
+		mBeta  =  (0.94*exp((-75-v)/17))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = 1/(mAlpha + mBeta)
+		hAlpha =  (0.000457*exp((-13-v)/50))
+		hBeta  =  (0.0065/(exp((-v-15)/28)+1))
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = 1/(hAlpha + hBeta)
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Ca_LVA.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Ca_LVA.mod
new file mode 100644
index 00000000..ab151d0e
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Ca_LVA.mod
@@ -0,0 +1,69 @@
+: Comment: LVA ca channel. Note: mtau is an approximation from the plots
+: Reference:		Avery and Johnston 1996, tau from Randall 1997
+: Comment: shifted by -10 mv to correct for junction potential
+: Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Ca_LVA
+	USEION ca READ eca WRITE ica
+	RANGE gbar, g, ica
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	eca	(mV)
+	ica	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ica = g*(v-eca)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		v = v + 10
+		mInf = 1.0000/(1+ exp((v - -30.000)/-6))
+		mTau = (5.0000 + 20.0000/(1+exp((v - -25.000)/5)))/qt
+		hInf = 1.0000/(1+ exp((v - -80.000)/6.4))
+		hTau = (20.0000 + 50.0000/(1+exp((v - -40.000)/7)))/qt
+		v = v - 10
+	UNITSON
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Ih.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Ih.mod
new file mode 100644
index 00000000..73b97d84
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Ih.mod
@@ -0,0 +1,71 @@
+: Reference:		Kole,Hallermann,and Stuart, J. Neurosci. 2006
+
+NEURON	{
+	SUFFIX Ih
+	NONSPECIFIC_CURRENT ihcn
+	RANGE gbar, g, ihcn 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+	ehcn =  -45.0 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ihcn	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ihcn = g*(v-ehcn)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+    :    if(v == -154.9){
+    :       v = v + 0.0001
+    :    }
+		:mAlpha =  0.001*6.43*(v+154.9)/(exp((v+154.9)/11.9)-1)
+		mAlpha = 0.001 * 6.43 * vtrap(v + 154.9, 11.9)
+		mBeta  =  0.001*193*exp(v/33.1)
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = 1/(mAlpha + mBeta)
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Im.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Im.mod
new file mode 100644
index 00000000..d6112d57
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Im.mod
@@ -0,0 +1,62 @@
+: Reference:		Adams et al. 1982 - M-currents and other potassium currents in bullfrog sympathetic neurones
+: Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Im
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		mAlpha = 3.3e-3*exp(2.5*0.04*(v - -35))
+		mBeta = 3.3e-3*exp(-2.5*0.04*(v - -35))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Im_v2.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Im_v2.mod
new file mode 100644
index 00000000..fc219f71
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Im_v2.mod
@@ -0,0 +1,59 @@
+: Based on Im model of Vervaeke et al. (2006)
+
+NEURON	{
+	SUFFIX Im_v2
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-30)/10)
+  mAlpha = 0.007 * exp( (6 * 0.4 * (v - (-48))) / 26.12 )
+  mBeta = 0.007 * exp( (-6 * (1 - 0.4) * (v - (-48))) / 26.12 )
+
+	mInf = mAlpha / (mAlpha + mBeta)
+  mTau = (15 + 1 / (mAlpha + mBeta)) / qt
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/K_P.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/K_P.mod
new file mode 100644
index 00000000..0a1238f9
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/K_P.mod
@@ -0,0 +1,71 @@
+: Comment: The persistent component of the K current
+: Reference:		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+
+
+NEURON	{
+	SUFFIX K_P
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshift = 0 (mV)
+	tauF = 1
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+	UNITSOFF
+		mInf =  1 / (1 + exp(-(v - (-14.3 + vshift)) / 14.6))
+    if (v < -50 + vshift){
+    	mTau = tauF * (1.25+175.03*exp(-(v - vshift) * -0.026))/qt
+    } else {
+      mTau = tauF * (1.25+13*exp(-(v - vshift) * 0.026))/qt
+    }
+		hInf =  1/(1 + exp(-(v - (-54 + vshift))/-11))
+		hTau =  (360+(1010+24*(v - (-55 + vshift)))*exp(-((v - (-75 + vshift))/48)^2))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/K_T.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/K_T.mod
new file mode 100644
index 00000000..c31beaff
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/K_T.mod
@@ -0,0 +1,68 @@
+: Comment: The transient component of the K current
+: Reference:		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+
+NEURON	{
+	SUFFIX K_T
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshift = 0 (mV)
+	mTauF = 1.0
+	hTauF = 1.0
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*m*h
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		mInf =  1/(1 + exp(-(v - (-47 + vshift)) / 29))
+		mTau =  (0.34 + mTauF * 0.92*exp(-((v+71-vshift)/59)^2))/qt
+		hInf =  1/(1 + exp(-(v+66-vshift)/-10))
+		hTau =  (8 + hTauF * 49*exp(-((v+73-vshift)/23)^2))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Kd.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Kd.mod
new file mode 100644
index 00000000..82cbe59a
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Kd.mod
@@ -0,0 +1,62 @@
+: Based on Kd model of Foust et al. (2011)
+
+
+NEURON	{
+	SUFFIX Kd
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m * h
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+	h' = (hInf - h) / hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+	mInf = 1 - 1 / (1 + exp((v - (-43)) / 8))
+  mTau = 1
+  hInf = 1 / (1 + exp((v - (-67)) / 7.3))
+  hTau = 1500
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Kv2like.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Kv2like.mod
new file mode 100644
index 00000000..1cbdf843
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Kv2like.mod
@@ -0,0 +1,86 @@
+: Kv2-like channel
+: Adapted from model implemented in Keren et al. 2005
+: Adjusted parameters to be similar to guangxitoxin-sensitive current in mouse CA1 pyramids from Liu and Bean 2014
+
+
+NEURON	{
+	SUFFIX Kv2like
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mAlpha
+	mBeta
+	mTau
+	hInf
+	h1Tau
+	h2Tau
+}
+
+STATE	{
+	m
+	h1
+	h2
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m * m * (0.5 * h1 + 0.5 * h2)
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+	h1' = (hInf - h1) / h1Tau
+	h2' = (hInf - h2) / h2Tau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h1 = hInf
+	h2 = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+	UNITSOFF
+		mAlpha = 0.12 * vtrap( -(v - 43), 11.0)
+		mBeta = 0.02 * exp(-(v + 1.27) / 120)
+		mInf = mAlpha / (mAlpha + mBeta)
+		mTau = 2.5 * (1 / (qt * (mAlpha + mBeta)))
+
+		hInf =  1/(1 + exp((v + 58) / 11))
+		h1Tau = (360 + (1010 + 23.7 * (v + 54)) * exp(-((v + 75) / 48)^2)) / qt
+		h2Tau = (2350 + 1380 * exp(-0.011 * v) - 210 * exp(-0.03 * v)) / qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Kv3_1.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Kv3_1.mod
new file mode 100644
index 00000000..e2446577
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Kv3_1.mod
@@ -0,0 +1,54 @@
+: Comment: Kv3-like potassium current
+
+NEURON	{
+	SUFFIX Kv3_1
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshift = 0 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+		mInf =  1/(1+exp(((v -(18.700 + vshift))/(-9.700))))
+		mTau =  0.2*20.000/(1+exp(((v -(-46.560 + vshift))/(-44.140))))
+	UNITSON
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/NaTa.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/NaTa.mod
new file mode 100644
index 00000000..fcf7bd39
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/NaTa.mod
@@ -0,0 +1,95 @@
+: Reference: Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTa
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+
+	malphaF = 0.182
+	mbetaF = 0.124
+	mvhalf = -48 (mV)
+	mk = 6 (mV)
+
+	halphaF = 0.015
+	hbetaF = 0.015
+	hvhalf = -69 (mV)
+	hk = 6 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+
+	UNITSOFF
+		mAlpha = malphaF * vtrap(-(v - mvhalf), mk)
+		mBeta = mbetaF * vtrap((v - mvhalf), mk)
+
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+
+		hAlpha = halphaF * vtrap(v - hvhalf, hk) : ng - adjusted this to match actual Colbert & Pan values for soma model
+		hBeta = hbetaF * vtrap(-(v - hvhalf), hk) : ng - adjusted this to match actual Colbert & Pan values for soma model
+
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/NaTs.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/NaTs.mod
new file mode 100644
index 00000000..f753e718
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/NaTs.mod
@@ -0,0 +1,95 @@
+: Reference: Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTs
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+
+	malphaF = 0.182
+	mbetaF = 0.124
+	mvhalf = -40 (mV)
+	mk = 6 (mV)
+
+	halphaF = 0.015
+	hbetaF = 0.015
+	hvhalf = -66 (mV)
+	hk = 6 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+
+	UNITSOFF
+		mAlpha = malphaF * vtrap(-(v - mvhalf), mk)
+		mBeta = mbetaF * vtrap((v - mvhalf), mk)
+
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+
+		hAlpha = halphaF * vtrap(v - hvhalf, hk)
+		hBeta = hbetaF * vtrap(-(v - hvhalf), hk)
+
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/NaV.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/NaV.mod
new file mode 100644
index 00000000..a7023956
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/NaV.mod
@@ -0,0 +1,186 @@
+TITLE Mouse sodium current
+: Kinetics of Carter et al. (2012)
+: Based on 37 degC recordings from mouse hippocampal CA1 pyramids
+
+NEURON {
+  SUFFIX NaV
+  USEION na READ ena WRITE ina
+  RANGE g, gbar
+}
+
+UNITS { 
+	(mV) = (millivolt)
+	(S) = (siemens)
+}
+
+PARAMETER {
+	gbar = .015			(S/cm2)
+
+	: kinetic parameters
+	Con = 0.01			(/ms)					: closed -> inactivated transitions
+	Coff = 40				(/ms)					: inactivated -> closed transitions
+	Oon = 8					(/ms)					: open -> Ineg transition
+	Ooff = 0.05			(/ms)					: Ineg -> open transition
+	alpha = 400			(/ms)
+	beta = 12				(/ms)
+	gamma = 250			(/ms)					: opening
+	delta = 60			(/ms)					: closing
+
+	alfac = 2.51
+	btfac = 5.32
+
+	: Vdep
+	x1 = 24				(mV)								: Vdep of activation (alpha)
+	x2 = -24			(mV)								: Vdep of deactivation (beta)
+}
+
+ASSIGNED {
+
+	: rates
+	f01  		(/ms)
+	f02  		(/ms)
+	f03 		(/ms)
+	f04			(/ms)
+	f0O 		(/ms)
+	f11 		(/ms)
+	f12 		(/ms)
+	f13 		(/ms)
+	f14 		(/ms)
+	f1n 		(/ms)
+	fi1 		(/ms)
+	fi2 		(/ms)
+	fi3 		(/ms)
+	fi4 		(/ms)
+	fi5 		(/ms)
+	fin 		(/ms)
+
+	b01 		(/ms)
+	b02 		(/ms)
+	b03 		(/ms)
+	b04			(/ms)
+	b0O 		(/ms)
+	b11  		(/ms)
+	b12 		(/ms)
+	b13 		(/ms)
+	b14 		(/ms)
+	b1n 		(/ms)
+	bi1 		(/ms)
+	bi2 		(/ms)
+	bi3 		(/ms)
+	bi4 		(/ms)
+	bi5 		(/ms)
+	bin 		(/ms)
+	
+	v				(mV)
+ 	ena			(mV)
+	ina			(milliamp/cm2)
+	g				(S/cm2)
+	celsius (degC)
+}
+
+STATE {
+	C1 FROM 0 TO 1
+	C2 FROM 0 TO 1
+	C3 FROM 0 TO 1
+	C4 FROM 0 TO 1
+	C5 FROM 0 TO 1
+	I1 FROM 0 TO 1
+	I2 FROM 0 TO 1
+	I3 FROM 0 TO 1
+	I4 FROM 0 TO 1
+	I5 FROM 0 TO 1
+	O FROM 0 TO 1
+	I6 FROM 0 TO 1
+}
+
+BREAKPOINT {
+	SOLVE activation METHOD sparse
+	g = gbar * O
+	ina = g * (v - ena)
+}
+
+INITIAL {
+ rates(v)
+ SOLVE seqinitial
+}
+
+KINETIC activation
+{
+	rates(v)
+	~ C1 <-> C2					(f01,b01)
+	~ C2 <-> C3					(f02,b02)
+	~ C3 <-> C4					(f03,b03)
+	~ C4 <-> C5					(f04,b04)
+	~ C5 <-> O					(f0O,b0O)
+	~ O <-> I6					(fin,bin)
+	~ I1 <-> I2					(f11,b11)
+	~ I2 <-> I3					(f12,b12)
+	~ I3 <-> I4					(f13,b13)
+	~ I4 <-> I5					(f14,b14)
+	~ I5 <-> I6					(f1n,b1n)
+	~ C1 <-> I1					(fi1,bi1)
+	~ C2 <-> I2					(fi2,bi2)
+	~ C3 <-> I3					(fi3,bi3)
+ 	~ C4 <-> I4					(fi4,bi4)
+ 	~ C5 <-> I5					(fi5,bi5)
+
+	CONSERVE C1 + C2 + C3 + C4 + C5 + O + I1 + I2 + I3 + I4 + I5 + I6 = 1
+}
+
+LINEAR seqinitial { : sets initial equilibrium
+	~          I1*bi1 + C2*b01 - C1*(    fi1+f01) = 0
+	~ C1*f01 + I2*bi2 + C3*b02 - C2*(b01+fi2+f02) = 0
+	~ C2*f02 + I3*bi3 + C4*b03 - C3*(b02+fi3+f03) = 0
+	~ C3*f03 + I4*bi4 + C5*b04 - C4*(b03+fi4+f04) = 0
+	~ C4*f04 + I5*bi5 + O*b0O  - C5*(b04+fi5+f0O) = 0
+	~ C5*f0O + I6*bin          - O*(b0O+fin)      = 0
+
+	~          C1*fi1 + I2*b11 - I1*(    bi1+f11) = 0
+	~ I1*f11 + C2*fi2 + I3*b12 - I2*(b11+bi2+f12) = 0
+	~ I2*f12 + C3*fi3 + I4*bi3 - I3*(b12+bi3+f13) = 0
+	~ I3*f13 + C4*fi4 + I5*b14 - I4*(b13+bi4+f14) = 0
+	~ I4*f14 + C5*fi5 + I6*b1n - I5*(b14+bi5+f1n) = 0
+	
+	~ C1 + C2 + C3 + C4 + C5 + O + I1 + I2 + I3 + I4 + I5 + I6 = 1
+}
+
+PROCEDURE rates(v(mV) )
+{
+  LOCAL qt
+  qt = 2.3^((celsius-37)/10)
+
+	f01 = qt * 4 * alpha * exp(v/x1)
+	f02 = qt * 3 * alpha * exp(v/x1)
+	f03 = qt * 2 * alpha * exp(v/x1)
+	f04 = qt * 1 * alpha * exp(v/x1)
+	f0O = qt * gamma
+	f11 = qt * 4 * alpha * alfac * exp(v/x1)
+	f12 = qt * 3 * alpha * alfac * exp(v/x1)
+	f13 = qt * 2 * alpha * alfac * exp(v/x1)
+	f14 = qt * 1 * alpha * alfac * exp(v/x1)
+	f1n = qt * gamma
+	fi1 = qt * Con
+	fi2 = qt * Con * alfac
+	fi3 = qt * Con * alfac^2
+	fi4 = qt * Con * alfac^3
+	fi5 = qt * Con * alfac^4
+	fin = qt * Oon
+
+	b01 = qt * 1 * beta * exp(v/x2)
+	b02 = qt * 2 * beta * exp(v/x2)
+	b03 = qt * 3 * beta * exp(v/x2)
+	b04 = qt * 4 * beta * exp(v/x2)
+	b0O = qt * delta
+	b11 = qt * 1 * beta * exp(v/x2) / btfac
+	b12 = qt * 2 * beta * exp(v/x2) / btfac
+	b13 = qt * 3 * beta * exp(v/x2) / btfac
+	b14 = qt * 4 * beta * exp(v/x2) / btfac
+	b1n = qt * delta
+	bi1 = qt * Coff
+	bi2 = qt * Coff / (btfac)
+	bi3 = qt * Coff / (btfac^2)
+	bi4 = qt * Coff / (btfac^3)
+	bi5 = qt * Coff / (btfac^4)
+	bin = qt * Ooff
+}
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Nap.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Nap.mod
new file mode 100644
index 00000000..ef8021ec
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/Nap.mod
@@ -0,0 +1,77 @@
+:Reference : Modeled according to kinetics derived from Magistretti & Alonso 1999
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Nap
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	rates()
+	g = gbar*mInf*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		mInf = 1.0/(1+exp((v- -52.6)/-4.6)) : assuming instantaneous activation as modeled by Magistretti and Alonso
+
+		hInf = 1.0/(1+exp((v- -48.8)/10))
+		hAlpha = 2.88e-6 * vtrap(v + 17, 4.63)
+		hBeta = 6.94e-6 * vtrap(-(v + 64.4), 2.63)
+
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/SK.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/SK.mod
new file mode 100644
index 00000000..8bfa3b72
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/SK.mod
@@ -0,0 +1,56 @@
+: SK-type calcium-activated potassium current
+: Reference : Kohler et al. 1996
+
+NEURON {
+       SUFFIX SK
+       USEION k READ ek WRITE ik
+       USEION ca READ cai
+       RANGE gbar, g, ik
+}
+
+UNITS {
+      (mV) = (millivolt)
+      (mA) = (milliamp)
+      (mM) = (milli/liter)
+}
+
+PARAMETER {
+          v            (mV)
+          gbar = .000001 (mho/cm2)
+          zTau = 1              (ms)
+          ek           (mV)
+          cai          (mM)
+}
+
+ASSIGNED {
+         zInf
+         ik            (mA/cm2)
+         g	       (S/cm2)
+}
+
+STATE {
+      z   FROM 0 TO 1
+}
+
+BREAKPOINT {
+           SOLVE states METHOD cnexp
+           g  = gbar * z
+           ik   =  g * (v - ek)
+}
+
+DERIVATIVE states {
+        rates(cai)
+        z' = (zInf - z) / zTau
+}
+
+PROCEDURE rates(ca(mM)) {
+          if(ca < 1e-7){
+	              ca = ca + 1e-07
+          }
+          zInf = 1/(1 + (0.00043 / ca)^4.8)
+}
+
+INITIAL {
+        rates(cai)
+        z = zInf
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/exp1isyn.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/exp1isyn.mod
new file mode 100644
index 00000000..e8700401
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/exp1isyn.mod
@@ -0,0 +1,52 @@
+COMMENT
+Current-based version of the conductance-based model exp1syn (refer to the exp1syn.mod)
+In this model the synatic current is defined as i = g*e, whereas in the conductance based model i = g*(v - e).
+Since the current is proportional to conductance, this model may be used to report the values of conductance by recording the current.
+
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+NEURON {
+	POINT_PROCESS exp1isyn
+	RANGE tau, e, i
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(uS) = (microsiemens)
+}
+
+PARAMETER {
+	tau = 0.1 (ms) <1e-9,1e9>
+	e = 0	(mV)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	g (uS)
+}
+
+INITIAL {
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*e
+}
+
+DERIVATIVE state {
+	g' = -g/tau
+}
+
+NET_RECEIVE(weight (uS)) {
+	g = g + weight
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/exp1syn.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/exp1syn.mod
new file mode 100644
index 00000000..6763e687
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/exp1syn.mod
@@ -0,0 +1,42 @@
+NEURON {
+	POINT_PROCESS exp1syn
+	RANGE tau, e, i
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(uS) = (microsiemens)
+}
+
+PARAMETER {
+	tau = 0.1 (ms) <1e-9,1e9>
+	e = 0	(mV)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	g (uS)
+}
+
+INITIAL {
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v-e)
+}
+
+DERIVATIVE state {
+	g' = -g/tau
+}
+
+NET_RECEIVE(weight (uS)) {
+	g = g + weight
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp1syn.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp1syn.mod
new file mode 100644
index 00000000..3490c587
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp1syn.mod
@@ -0,0 +1,75 @@
+COMMENT
+A model (# 1 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp1syn
+	RANGE e, i, tau_r, p0, tau_1
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+	: tau_r = recovery time constant
+	tau_r = 100 (ms)
+	: p0  = baseline level of release probability
+	p0 = 0.3
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	g
+}
+
+INITIAL {
+	n=1
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0
+	n = n - n*p0
+		
+
+}
+
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp2syn.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp2syn.mod
new file mode 100644
index 00000000..ce1d1625
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp2syn.mod
@@ -0,0 +1,95 @@
+COMMENT
+A model (# 2 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,5) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	tau_r = time constant for vesicle replenishment
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+
+
+NEURON {
+	POINT_PROCESS stp2syn
+	RANGE e, i, p0, tau_1, tau_r0, a_FDR, tau_FDR, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+	(uS) = (microsiemens)
+
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: p0  = baseline level of release probability
+	p0 = 0.3
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 5 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = magnitude of tau_r reduction after each spike
+	a_FDR = 0.5
+
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax 
+}
+
+STATE {
+	n
+	tau_r
+	g
+}
+
+INITIAL {
+	n=1
+	tau_r=tau_r0
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+	Pmax = n*p0
+}
+
+DERIVATIVE state {
+	g' = -g/tau_1
+	n' = (1-n)/tau_r
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p0
+	tau_r = tau_r - a_FDR*tau_r
+
+}
+
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp3syn.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp3syn.mod
new file mode 100644
index 00000000..31869840
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp3syn.mod
@@ -0,0 +1,102 @@
+COMMENT
+A model (# 3 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,5,10) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	D = fraction of non-desensitized receptors
+	tau_r = time constant for vesicle replenishment
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp3syn
+	RANGE e, i, p0, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: p0  = baseline level of release probability
+	p0 = 0.3
+
+	: tau_f = facilitation time constant
+	tau_f = 1000 (ms) < 0, 1e9 >
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = magnitude of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D 
+	a_D = 0.5 
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	tau_r
+	D
+	g
+}
+
+INITIAL {
+	n=1
+	tau_r=tau_r0
+	g=0
+	D=1
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0*D
+	n = n - n*p0
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p0*n*D
+
+}
+
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp4syn.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp4syn.mod
new file mode 100644
index 00000000..1ba964be
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp4syn.mod
@@ -0,0 +1,83 @@
+COMMENT
+A model (# 4 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity. 
+The magnitude of the peak conductance is found by 
+solving Eqs (3,4) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	p = release probability
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+
+
+NEURON {
+	POINT_PROCESS stp4syn
+	RANGE e, i, tau_r, p0, tau_1,tau_f
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+	: tau_r = recovery time constant
+	tau_r = 100 (ms)
+	: p0  = baseline level of release probability
+	p0 = 0.3
+	: tau_f = facilitation time constant
+	tau_f = 1000 (ms) < 0, 1e9 >
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	p
+	g
+}
+
+INITIAL {
+	n=1
+	p=1
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+    p' = 0
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0
+	n = n - n*p0
+	p = p + p0*(1-p)
+
+}
+
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp5isyn.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp5isyn.mod
new file mode 100644
index 00000000..d6b6c105
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp5isyn.mod
@@ -0,0 +1,113 @@
+COMMENT
+Current-based version of the conductance-based model stp5syn (refer to the stp5syn.mod)
+In this model the synatic current is defined as i = g*e, whereas in the conductance based model i = g*(v - e).
+Since the current is proportional to conductance, this model may be used to report the values of conductance by recording the current.
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp5isyn
+	RANGE e, i, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D, a_i, tau_i, a_f, tau_f, pbtilde, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = amount of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D = amount of desentization
+	a_D = 0.5 
+
+	: tau_i = relaxation time for p0 
+	tau_i = 100 (ms) 
+
+	: a_i = amount of decrease of baseline probability after each spike 
+	a_i = 0.5 
+
+	: tau_f = facilitation time constant (relaxation time constant for p) 
+	tau_f = 10 (ms) 
+
+	: a_f = amount of facilitation  (increase of p after each spike)
+	a_f = 0.5 
+
+	: pbtilde = baseline level of pb
+	pbtilde = 0.5 
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax
+}
+
+STATE {
+	n
+	p
+	tau_r
+	D
+	pb
+	g
+}
+
+INITIAL {
+	n=1
+	pb=pbtilde
+	p=pb
+	tau_r=tau_r0
+	D=1
+	g=0
+
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+:	i = g*(v - e)
+	i = g*e
+	Pmax = n*p*D
+
+}
+
+DERIVATIVE state {
+	g' = -g/tau_1
+	n' = (1-n)/tau_r
+	p' = (pb-p)/tau_f
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+	pb' = (pbtilde-pb)/tau_i
+
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p
+	p = p + a_f*(1-p)
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p*n*D
+	pb = pb - a_i*pb
+
+}
+
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp5syn.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp5syn.mod
new file mode 100644
index 00000000..621fe9e1
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/stp5syn.mod
@@ -0,0 +1,131 @@
+COMMENT
+A model (# 5 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,4,5,8,10) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+This file could be used to simulate simpler models by setting to zero the parameters in the unused equations(e.g, a_D,a_i,a_f).
+
+State variables:
+
+	n = fraction of available vesicles 
+	D = fraction of non-desensitized receptors
+	tau_r = time constant for vesicle replenishment
+	pb = baseline vesicle release probability
+	p = vesicle release probability
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where w is the static synaptic weight and Pmax is the activity-dependent factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1.
+
+Implemented by Sergey L. Gratiy,
+
+ENDCOMMENT
+
+: Declaring parameters as RANGE allows them to change as a function of a position alogn the cell
+NEURON {
+	POINT_PROCESS stp5syn
+	RANGE e, i, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D, a_i, tau_i, a_f, tau_f, pbtilde, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+: Declaration of the default values of parameters
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = amount of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D = amount of desentization
+	a_D = 0.5 
+
+	: tau_i = relaxation time for p0 
+	tau_i = 100 (ms) 
+
+	: a_i = amount of decrease of baseline probability after each spike 
+	a_i = 0.5 
+
+	: tau_f = facilitation time constant (relaxation time constant for p) 
+	tau_f = 10 (ms) 
+
+	: a_f = amount of facilitation  (increase of p after each spike)
+	a_f = 0.5 
+
+	: pbtilde = baseline level of p0
+	pbtilde = 0.5 
+
+}
+: Declaration of dependent and external variables that collectively are called ASSIGNED
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax
+}
+
+: Declaration of the state variables
+STATE {
+	n
+	p
+	tau_r
+	D
+	pb
+	g
+}
+
+: Initial conditions for the state variables
+INITIAL {
+	n=1
+	p=1
+	tau_r=tau_r0
+	D=1
+	pb=pbtilde
+	g=0
+
+}
+
+: Integration method + assignment statements
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+	Pmax = n*p*D
+}
+
+: Definition of teh dynamics between the presynaptic activations
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	p' = (pb-p)/tau_f
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+	pb' = (pbtilde-pb)/tau_i
+	g' = -g/tau_1
+
+}
+
+: This block defines what happens to the state variables at the moment presynaptic activation
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p
+	p = p + a_f*(1-p)
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p*n*D
+	pb = pb - a_i*pb
+
+}
+
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/vecevent.mod b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/vecevent.mod
new file mode 100644
index 00000000..503dfd2e
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/mechanisms/modfiles/vecevent.mod
@@ -0,0 +1,71 @@
+:  Vector stream of events
+
+NEURON {
+	ARTIFICIAL_CELL VecStim
+}
+
+ASSIGNED {
+	index
+	etime (ms)
+	space
+}
+
+INITIAL {
+	index = 0
+	element()
+	if (index > 0) {
+		net_send(etime - t, 1)
+	}
+}
+
+NET_RECEIVE (w) {
+	if (flag == 1) {
+		net_event(t)
+		element()
+		if (index > 0) {
+			net_send(etime - t, 1)
+		}
+	}
+}
+
+VERBATIM
+extern double* vector_vec();
+extern int vector_capacity();
+extern void* vector_arg();
+ENDVERBATIM
+
+PROCEDURE element() {
+VERBATIM	
+  { void* vv; int i, size; double* px;
+	i = (int)index;
+	if (i >= 0) {
+		vv = *((void**)(&space));
+		if (vv) {
+			size = vector_capacity(vv);
+			px = vector_vec(vv);
+			if (i < size) {
+				etime = px[i];
+				index += 1.;
+			}else{
+				index = -1.;
+			}
+		}else{
+			index = -1.;
+		}
+	}
+  }
+ENDVERBATIM
+}
+
+PROCEDURE play() {
+VERBATIM
+	void** vv;
+	vv = (void**)(&space);
+	*vv = (void*)0;
+	if (ifarg(1)) {
+		*vv = vector_arg(1);
+	}
+ENDVERBATIM
+}
+        
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/morphologies/491766131_m.swc b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/491766131_m.swc
new file mode 100644
index 00000000..f7c402fe
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/491766131_m.swc
@@ -0,0 +1,4855 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): C:/Users/alexh/Desktop/Working/Rbp4-Cre_KL100;Ai14-203503.04.01.01_515570710_p_Dendrite.swc
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diff --git a/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Nr5a1_471087815_m.swc b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Nr5a1_471087815_m.swc
new file mode 100644
index 00000000..7376d588
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Nr5a1_471087815_m.swc
@@ -0,0 +1,1534 @@
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diff --git a/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Pvalb_469628681_m.swc b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Pvalb_469628681_m.swc
new file mode 100644
index 00000000..4fe67b41
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Pvalb_469628681_m.swc
@@ -0,0 +1,1250 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): K:/t301/production data/February 2015/169125.03.01.01/reconstructions/Pvalb-IRES-Cre; Ai14(IVSCC)-169125.03.01.01.DS.swc
+# id,type,x,y,z,r,pid
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diff --git a/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Pvalb_470522102_m.swc b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Pvalb_470522102_m.swc
new file mode 100644
index 00000000..c2700822
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Pvalb_470522102_m.swc
@@ -0,0 +1,1966 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): K:/MouseCellTypes/176847.04.02.01/176847.04.02.01_MDF.swc_sorted.swc
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diff --git a/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Rorb_325404214_m.swc b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Rorb_325404214_m.swc
new file mode 100644
index 00000000..cd1d5859
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Rorb_325404214_m.swc
@@ -0,0 +1,2194 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): C:/neuron tracing and reconstruction/vaa3d/vaa3d_bin_msvc_64bit_v2921_a/vaa3d_bin_msvc_64bit_v2921_a/new 168053.04.01.01.swc
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diff --git a/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Scnn1a_473845048_m.swc b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Scnn1a_473845048_m.swc
new file mode 100644
index 00000000..84e566f9
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/morphologies/Scnn1a_473845048_m.swc
@@ -0,0 +1,3786 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): K:/t301/production data/177300.01.02.01/reconstruction/Scnn1a-Tg3-Cre_Ai14_IVSCC_-177300.01.02.01___DS.swc
+# id,type,x,y,z,r,pid
+1 1 303.16 379.4648 28.56 5.4428 -1
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diff --git a/docs/tutorial/04_opt_advanced_inputs/components/stimulations/xstim_coords.csv b/docs/tutorial/04_opt_advanced_inputs/components/stimulations/xstim_coords.csv
new file mode 100644
index 00000000..d2b1f2f6
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/stimulations/xstim_coords.csv
@@ -0,0 +1,2 @@
+ip pos_x pos_y pos_z rotation_x rotation_y rotation_z
+0 6.1803398874989481 0.0 19.021130325903069 0. 0. 0.
diff --git a/docs/tutorial/04_opt_advanced_inputs/components/synaptic_models/AMPA_ExcToExc.json b/docs/tutorial/04_opt_advanced_inputs/components/synaptic_models/AMPA_ExcToExc.json
new file mode 100644
index 00000000..c7585403
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/components/synaptic_models/AMPA_ExcToExc.json
@@ -0,0 +1,6 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 1.0,
+  "tau2": 3.0,
+  "erev": 0.0
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.cell_types.json b/docs/tutorial/04_opt_advanced_inputs/config.cell_types.json
new file mode 100644
index 00000000..b91161c6
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.cell_types.json
@@ -0,0 +1,67 @@
+{
+    "manifest": {
+      "$BASE_DIR": ".",
+      "$OUTPUT_DIR": "$BASE_DIR/output_cell_types",
+      "$INPUT_DIR": "$BASE_DIR/ephys_inputs",
+      "$NETWORK_DIR": "$BASE_DIR/network_cell_types",
+      "$MODEL_DIR": "$BASE_DIR/components"
+    },
+  
+    "run": {
+      "tstop": 3000.0,
+      "dt": 0.1,
+      "dL": 20.0,
+      "spike_threshold": -15,
+      "nsteps_block": 5000
+    },
+  
+    "target_simulator":"NEURON",
+  
+    "conditions": {
+      "celsius": 34.0,
+      "v_init": -80
+    },
+  
+    "inputs": {
+      "current_clamp_nwb": {
+        "module": "IClamp",
+        "input_type": "allen",
+        "node_set": "all",
+        "file": "${INPUT_DIR}/488683423_ephys.nwb",
+        "sweep_id": "35"
+      }
+    },
+  
+    "output":{
+      "log_file": "log.txt",
+      "output_dir": "$OUTPUT_DIR",
+      "spikes_file": "spikes.h5",
+      "spikes_file_csv": "spikes.csv",
+      "spikes_sort_order": "time",
+      "overwrite_output_dir": true
+    },
+  
+    "reports": {
+      "membrane_potential": {
+        "cells": [0],
+        "variable_name": "v",
+        "module": "membrane_report",
+        "sections": "soma"
+      }
+    },
+  
+    "components": {
+      "morphologies_dir": "$MODEL_DIR/morphologies",
+      "mechanisms_dir":"$MODEL_DIR/mechanisms",
+      "biophysical_neuron_models_dir": "$MODEL_DIR/biophysical_neuron_templates"
+    },
+  
+    "networks": {
+      "nodes": [
+        {
+          "nodes_file": "$NETWORK_DIR/bio_488683425_fullstub_nodes.h5",
+          "node_types_file": "$NETWORK_DIR/bio_488683425_fullstub_node_types.csv"
+        }
+      ]
+    }
+  }
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.csv_series.json b/docs/tutorial/04_opt_advanced_inputs/config.csv_series.json
new file mode 100644
index 00000000..42af2be5
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.csv_series.json
@@ -0,0 +1,73 @@
+{
+    "manifest": {
+      "$BASE_DIR": ".",
+      "$OUTPUT_DIR": "$BASE_DIR/output_csv_series",
+      "$INPUT_DIR": "$BASE_DIR/inputs",
+      "$NETWORK_DIR": "$BASE_DIR/network_current_clamp",
+      "$COMPONENT_DIR": "$BASE_DIR/components"
+    },
+  
+    "run": {
+      "tstop": 3000.0,
+      "dt": 0.1,
+      "dL": 20.0,
+      "spike_threshold": -15,
+      "nsteps_block": 5000
+    },
+  
+    "target_simulator":"NEURON",
+  
+    "conditions": {
+      "celsius": 34.0,
+      "v_init": -80
+    },
+  
+    "inputs": {
+      "current_clamp_series": {
+          "input_type": "csv",
+          "module": "IClamp",
+          "node_set": {
+              "population": "net", 
+              "model_type": "biophysical"
+          },
+          "file": "$INPUT_DIR/iclamp_inputs_series.csv",
+          "section_name": "soma"
+      }
+    },
+  
+    "output":{
+      "log_file": "log.txt",
+      "output_dir": "$OUTPUT_DIR",
+      "spikes_file": "spikes.h5",
+      "spikes_file_csv": "spikes.csv",
+      "spikes_sort_order": "time",
+      "overwrite_output_dir": true
+    },
+  
+    "reports": {
+      "membrane_potential": {
+        "cells": {"population": "net"},
+        "variable_name": "v",
+        "module": "membrane_report",
+        "sections": "soma"
+      }
+    },
+  
+    "components": {
+      "morphologies_dir": "components/morphologies",
+      "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+      "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+      "biophysical_neuron_models_dir": "components/biophysical_neuron_templates",
+      "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates"
+    },
+  
+    "networks": {
+      "nodes": [
+        {
+          "nodes_file": "$NETWORK_DIR/net_nodes.h5",
+          "node_types_file": "$NETWORK_DIR/net_node_types.csv"
+        }
+      ]
+    }
+  }
+  
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.csv_wave.json b/docs/tutorial/04_opt_advanced_inputs/config.csv_wave.json
new file mode 100644
index 00000000..a64fac7e
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.csv_wave.json
@@ -0,0 +1,73 @@
+{
+    "manifest": {
+      "$BASE_DIR": ".",
+      "$OUTPUT_DIR": "$BASE_DIR/output_csv_wave",
+      "$INPUT_DIR": "$BASE_DIR/inputs",
+      "$NETWORK_DIR": "$BASE_DIR/network_current_clamp",
+      "$COMPONENT_DIR": "$BASE_DIR/components"
+    },
+  
+    "run": {
+      "tstop": 3000.0,
+      "dt": 0.1,
+      "dL": 20.0,
+      "spike_threshold": -15,
+      "nsteps_block": 5000
+    },
+  
+    "target_simulator":"NEURON",
+  
+    "conditions": {
+      "celsius": 34.0,
+      "v_init": -80
+    },
+  
+    "inputs": {
+      "current_clamp_series": {
+          "input_type": "csv",
+          "module": "IClamp",
+          "node_set": {
+              "population": "net", 
+              "model_type": "biophysical"
+          },
+          "file": "$INPUT_DIR/iclamp_damped_wave.csv",
+          "section_name": "soma"
+      }
+    },
+  
+    "output":{
+      "log_file": "log.txt",
+      "output_dir": "$OUTPUT_DIR",
+      "spikes_file": "spikes.h5",
+      "spikes_file_csv": "spikes.csv",
+      "spikes_sort_order": "time",
+      "overwrite_output_dir": true
+    },
+  
+    "reports": {
+      "membrane_potential": {
+        "cells": {"population": "net"},
+        "variable_name": "v",
+        "module": "membrane_report",
+        "sections": "soma"
+      }
+    },
+  
+    "components": {
+      "morphologies_dir": "components/morphologies",
+      "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+      "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+      "biophysical_neuron_models_dir": "components/biophysical_neuron_templates",
+      "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates"
+    },
+  
+    "networks": {
+      "nodes": [
+        {
+          "nodes_file": "$NETWORK_DIR/net_nodes.h5",
+          "node_types_file": "$NETWORK_DIR/net_node_types.csv"
+        }
+      ]
+    }
+  }
+  
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.current_clamp.json b/docs/tutorial/04_opt_advanced_inputs/config.current_clamp.json
new file mode 100644
index 00000000..3db26edb
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.current_clamp.json
@@ -0,0 +1,77 @@
+{
+    "manifest": {
+      "$BASE_DIR": ".",
+      "$OUTPUT_DIR": "$BASE_DIR/output_current_clamp",
+      "$INPUT_DIR": "$BASE_DIR/inputs",
+      "$NETWORK_DIR": "$BASE_DIR/network_current_clamp",
+      "$COMPONENT_DIR": "$BASE_DIR/components"
+    },
+  
+    "run": {
+      "tstop": 2000.0,
+      "dt": 0.1,
+      "dL": 20.0,
+      "spike_threshold": -15,
+      "nsteps_block": 5000
+    },
+  
+    "target_simulator":"NEURON",
+  
+    "conditions": {
+      "celsius": 34.0,
+      "v_init": -80
+    },
+  
+    "inputs": {
+      "current_clamp_1": {
+        "input_type": "current_clamp",
+        "module": "IClamp",
+        "node_set": {
+            "population": "net", 
+            "node_id": [0]
+        },
+        "amp": 0.1000,
+        "delay": 500.0,
+        "duration": 1000.0,
+        "section_name": "soma",
+        "section_index": 0,
+        "section_dist": 0.5
+      }
+    },
+  
+    "output":{
+      "log_file": "log.txt",
+      "output_dir": "$OUTPUT_DIR",
+      "spikes_file": "spikes.h5",
+      "spikes_file_csv": "spikes.csv",
+      "spikes_sort_order": "time",
+      "overwrite_output_dir": true
+    },
+  
+    "reports": {
+      "membrane_potential": {
+        "cells": {"population": "net"},
+        "variable_name": "v",
+        "module": "membrane_report",
+        "sections": "soma"
+      }
+    },
+  
+    "components": {
+      "morphologies_dir": "components/morphologies",
+      "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+      "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+      "biophysical_neuron_models_dir": "components/biophysical_neuron_templates",
+      "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates"
+    },
+  
+    "networks": {
+      "nodes": [
+        {
+          "nodes_file": "$NETWORK_DIR/net_nodes.h5",
+          "node_types_file": "$NETWORK_DIR/net_node_types.csv"
+        }
+      ]
+    }
+  }
+  
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.current_clamp_allcells.json b/docs/tutorial/04_opt_advanced_inputs/config.current_clamp_allcells.json
new file mode 100644
index 00000000..fd86df58
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.current_clamp_allcells.json
@@ -0,0 +1,77 @@
+{
+    "manifest": {
+      "$BASE_DIR": ".",
+      "$OUTPUT_DIR": "$BASE_DIR/output_current_clamp",
+      "$INPUT_DIR": "$BASE_DIR/inputs",
+      "$NETWORK_DIR": "$BASE_DIR/network_current_clamp",
+      "$COMPONENT_DIR": "$BASE_DIR/components"
+    },
+  
+    "run": {
+      "tstop": 2000.0,
+      "dt": 0.1,
+      "dL": 20.0,
+      "spike_threshold": -15,
+      "nsteps_block": 5000
+    },
+  
+    "target_simulator":"NEURON",
+  
+    "conditions": {
+      "celsius": 34.0,
+      "v_init": -80
+    },
+  
+    "inputs": {
+      "current_clamp_1": {
+        "input_type": "current_clamp",
+        "module": "IClamp",
+        "node_set": {
+            "population": "net", 
+            "model_type": "biophysical"
+        },
+        "amp": 0.1000,
+        "delay": 500.0,
+        "duration": 1000.0,
+        "section_name": "soma",
+        "section_index": 0,
+        "section_dist": 0.5
+      }
+    },
+  
+    "output":{
+      "log_file": "log.txt",
+      "output_dir": "$OUTPUT_DIR",
+      "spikes_file": "spikes.h5",
+      "spikes_file_csv": "spikes.csv",
+      "spikes_sort_order": "time",
+      "overwrite_output_dir": true
+    },
+  
+    "reports": {
+      "membrane_potential": {
+        "cells": {"population": "net"},
+        "variable_name": "v",
+        "module": "membrane_report",
+        "sections": "soma"
+      }
+    },
+  
+    "components": {
+      "morphologies_dir": "components/morphologies",
+      "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+      "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+      "biophysical_neuron_models_dir": "components/biophysical_neuron_templates",
+      "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates"
+    },
+  
+    "networks": {
+      "nodes": [
+        {
+          "nodes_file": "$NETWORK_DIR/net_nodes.h5",
+          "node_types_file": "$NETWORK_DIR/net_node_types.csv"
+        }
+      ]
+    }
+  }
+  
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.current_clamp_apic.json b/docs/tutorial/04_opt_advanced_inputs/config.current_clamp_apic.json
new file mode 100644
index 00000000..8bd02be5
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.current_clamp_apic.json
@@ -0,0 +1,76 @@
+{
+    "manifest": {
+      "$BASE_DIR": ".",
+      "$OUTPUT_DIR": "$BASE_DIR/output_current_clamp",
+      "$INPUT_DIR": "$BASE_DIR/inputs",
+      "$NETWORK_DIR": "$BASE_DIR/network_current_clamp",
+      "$COMPONENT_DIR": "$BASE_DIR/components"
+    },
+  
+    "run": {
+      "tstop": 2000.0,
+      "dt": 0.1,
+      "dL": 20.0,
+      "spike_threshold": -15,
+      "nsteps_block": 5000
+    },
+  
+    "target_simulator":"NEURON",
+  
+    "conditions": {
+      "celsius": 34.0,
+      "v_init": -80
+    },
+  
+    "inputs": {
+      "current_clamp_apic": {
+        "input_type": "current_clamp",
+        "module": "IClamp",
+        "node_set": {
+            "population": "net", 
+            "node_id": [0]
+        },
+        "amp": 0.1000,
+        "delay": 500.0,
+        "duration": 1000.0,
+        "section_name": ["dend", "apic"],
+        "section_index": [500.0, 1.0e20]
+      }
+    },
+  
+    "output":{
+      "log_file": "log.txt",
+      "output_dir": "$OUTPUT_DIR",
+      "spikes_file": "spikes.h5",
+      "spikes_file_csv": "spikes.csv",
+      "spikes_sort_order": "time",
+      "overwrite_output_dir": true
+    },
+  
+    "reports": {
+      "membrane_potential": {
+        "cells": {"population": "net"},
+        "variable_name": "v",
+        "module": "membrane_report",
+        "sections": "soma"
+      }
+    },
+  
+    "components": {
+      "morphologies_dir": "components/morphologies",
+      "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+      "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+      "biophysical_neuron_models_dir": "components/biophysical_neuron_templates",
+      "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates"
+    },
+  
+    "networks": {
+      "nodes": [
+        {
+          "nodes_file": "$NETWORK_DIR/net_nodes.h5",
+          "node_types_file": "$NETWORK_DIR/net_node_types.csv"
+        }
+      ]
+    }
+  }
+  
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.voltage_clamp.json b/docs/tutorial/04_opt_advanced_inputs/config.voltage_clamp.json
new file mode 100644
index 00000000..951cad79
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.voltage_clamp.json
@@ -0,0 +1,85 @@
+{
+    "manifest": {
+      "$BASE_DIR": ".",
+      "$OUTPUT_DIR": "$BASE_DIR/output_voltage_clamp",
+      "$INPUT_DIR": "$BASE_DIR/inputs",
+      "$NETWORK_DIR": "$BASE_DIR/network_voltage_clamp",
+      "$COMPONENT_DIR": "$BASE_DIR/components"
+    },
+  
+    "run": {
+      "tstop": 3000.0,
+      "dt": 0.1,
+      "dL": 20.0,
+      "spike_threshold": -15,
+      "nsteps_block": 5000
+    },
+  
+    "target_simulator":"NEURON",
+  
+    "conditions": {
+      "celsius": 34.0,
+      "v_init": -80
+    },
+  
+    "inputs": {
+      "se_clamp_1": {
+        "input_type": "clamp",
+        "module": "SEClamp",
+        "node_set": {
+            "population": "net", 
+            "node_ids": [0]
+        },
+        "amp": 20.0,
+        "duration": 1000.0,
+        "delay": 1000.0,
+        "section_name": "soma",
+        "section_index": 0,
+        "section_dist": 0.5
+      }
+    },
+  
+    "output":{
+      "log_file": "log.txt",
+      "output_dir": "$OUTPUT_DIR",
+      "spikes_file": "spikes.h5",
+      "spikes_file_csv": "spikes.csv",
+      "spikes_sort_order": "time",
+      "overwrite_output_dir": true
+    },
+  
+    "reports": {
+      "membrane_potential": {
+        "cells": {
+          "population": "net"
+        },
+        "variable_name": "v",
+        "module": "membrane_report",
+        "sections": "soma"
+      }
+    },
+  
+    "components": {
+      "morphologies_dir": "components/morphologies",
+      "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+      "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+      "biophysical_neuron_models_dir": "components/biophysical_neuron_templates",
+      "point_neuron_models_dir": "$COMPONENT_DIR/point_neuron_templates"
+    },
+  
+    "networks": {
+      "nodes": [
+        {
+          "nodes_file": "$NETWORK_DIR/net_nodes.h5",
+          "node_types_file": "$NETWORK_DIR/net_node_types.csv"
+        }
+      ],
+      "edges": [
+        {
+          "edges_file": "$NETWORK_DIR/net_net_edges.h5",
+          "edge_types_file": "$NETWORK_DIR/net_net_edge_types.csv"
+        }
+      ]
+    }
+  }
+  
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.xstim_custom.json b/docs/tutorial/04_opt_advanced_inputs/config.xstim_custom.json
new file mode 100644
index 00000000..1b461ab0
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.xstim_custom.json
@@ -0,0 +1,80 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_xstim",
+    "$COMPONENT_DIR": "$BASE_DIR/components",
+    "$STIM_DIR": "$BASE_DIR/components/stimulations",
+    "$NETWORK_DIR": "$BASE_DIR/network_xstim"
+  },
+
+  "run": {
+    "tstop": 3000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15,
+    "nsteps_block": 10000
+  },
+
+  "target_simulator":"NEURON",
+
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80
+  },
+
+  "inputs": {
+    "Extracellular_Stim": {
+      "module": "xstim",
+      "input_type": "lfp",
+      "node_set": {
+        "model_type": "biophysical"
+      },
+      "positions_file": "$STIM_DIR/xstim_coords.csv",
+      "resistance": 300.0,
+      "waveform": "inputs/ramping_xstim.csv"
+    }
+  },
+
+  "output":{
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv",
+    "spikes_sort_order": "time"
+  },
+
+  "node_sets": {
+    "biophys_cells": {
+      "model_type": "biophysical"
+    }
+  },
+
+  "reports": {
+    
+    "membrane_potential": {
+      "cells": "biophys_cells",
+      "variable_name": "v",
+      "module": "membrane_report",
+      "file_name": "v_report.h5",
+      "sections": "soma",
+      "enabled": true
+    }
+
+  },
+
+  "components": {
+    "morphologies_dir": "$COMPONENT_DIR/morphologies",
+    "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+    "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+    "biophysical_neuron_models_dir": "$COMPONENT_DIR/biophysical_neuron_templates"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/bio_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/bio_node_types.csv"
+      }
+    ]
+  }
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.xstim_dc.json b/docs/tutorial/04_opt_advanced_inputs/config.xstim_dc.json
new file mode 100644
index 00000000..5a1e0b2c
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.xstim_dc.json
@@ -0,0 +1,83 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_xstim",
+    "$COMPONENT_DIR": "$BASE_DIR/components",
+    "$STIM_DIR": "$BASE_DIR/components/stimulations",
+    "$NETWORK_DIR": "$BASE_DIR/network_xstim"
+  },
+
+  "run": {
+    "tstop": 3000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15,
+    "nsteps_block": 10000
+  },
+
+  "target_simulator":"NEURON",
+
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80
+  },
+
+  "inputs": {
+    "Extracellular_Stim": {
+      "input_type": "lfp",
+      "node_set": "all",
+      "module": "xstim",
+      "positions_file": "$STIM_DIR/xstim_coords.csv",
+      "resistance": 300.0,
+      "waveform": {
+        "shape": "dc",
+        "del": 1000.0,
+        "amp": 0.400,
+        "dur": 1000.0
+      }
+    }
+  },
+
+  "output":{
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv",
+    "spikes_sort_order": "time"
+  },
+
+  "node_sets": {
+    "biophys_cells": {
+      "model_type": "biophysical"
+    }
+  },
+
+  "reports": {
+    
+    "membrane_potential": {
+      "cells": "biophys_cells",
+      "variable_name": "v",
+      "module": "membrane_report",
+      "file_name": "v_report.h5",
+      "sections": "soma",
+      "enabled": true
+    }
+
+  },
+
+  "components": {
+    "morphologies_dir": "$COMPONENT_DIR/morphologies",
+    "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+    "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+    "biophysical_neuron_models_dir": "$COMPONENT_DIR/biophysical_neuron_templates"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/bio_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/bio_node_types.csv"
+      }
+    ]
+  }
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/config.xstim_sin.json b/docs/tutorial/04_opt_advanced_inputs/config.xstim_sin.json
new file mode 100644
index 00000000..7dd785bf
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/config.xstim_sin.json
@@ -0,0 +1,87 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_xstim",
+    "$COMPONENT_DIR": "$BASE_DIR/components",
+    "$STIM_DIR": "$BASE_DIR/components/stimulations",
+    "$NETWORK_DIR": "$BASE_DIR/network_xstim"
+  },
+
+  "run": {
+    "tstop": 4000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15,
+    "nsteps_block": 10000
+  },
+
+  "target_simulator":"NEURON",
+
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80
+  },
+
+  "inputs": {
+    "Extracellular_Stim": {
+      "module": "xstim",
+      "input_type": "lfp",
+      "node_set": {
+        "model_type": "biophysical"
+      },
+      "positions_file": "$STIM_DIR/xstim_coords.csv",
+      "resistance": 300.0,
+      "waveform": {
+        "shape": "sin",
+        "del": 1000.0,
+        "amp": 0.100,
+        "dur": 2000.0,
+        "freq": 8.0,
+        "phase": 0.0
+      }
+    }
+  },
+
+  "output":{
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv",
+    "spikes_sort_order": "time"
+  },
+
+  "node_sets": {
+    "biophys_cells": {
+      "model_type": "biophysical"
+    }
+  },
+
+  "reports": {
+    
+    "membrane_potential": {
+      "cells": "biophys_cells",
+      "variable_name": "v",
+      "module": "membrane_report",
+      "file_name": "v_report.h5",
+      "sections": "soma",
+      "enabled": true
+    }
+
+  },
+
+  "components": {
+    "morphologies_dir": "$COMPONENT_DIR/morphologies",
+    "synaptic_models_dir": "$COMPONENT_DIR/synaptic_models",
+    "mechanisms_dir":"$COMPONENT_DIR/mechanisms",
+    "biophysical_neuron_models_dir": "$COMPONENT_DIR/biophysical_neuron_templates"
+  },
+
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/bio_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/bio_node_types.csv"
+      }
+    ]
+  }
+}
diff --git a/docs/tutorial/04_opt_advanced_inputs/create_ramping_stim.py b/docs/tutorial/04_opt_advanced_inputs/create_ramping_stim.py
new file mode 100644
index 00000000..0f975d25
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/create_ramping_stim.py
@@ -0,0 +1,16 @@
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+
+
+time = np.linspace(0.0, 3000.0, 1000)
+# amplitude = time*0.0003-.100
+amplitude = time*0.0002-.100
+
+
+pd.DataFrame({
+    'time': time,
+    'amplitude': amplitude
+}).to_csv('inputs/ramping_xstim.csv', sep=' ', index=False)
+plt.plot(time, amplitude)
+plt.show()
\ No newline at end of file
diff --git a/docs/tutorial/04_opt_advanced_inputs/inputs/iclamp_damped_wave.csv b/docs/tutorial/04_opt_advanced_inputs/inputs/iclamp_damped_wave.csv
new file mode 100644
index 00000000..d78da59a
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/inputs/iclamp_damped_wave.csv
@@ -0,0 +1,151 @@
+timestamps amps
+0.0 0.0
+20.0 0.0183670915959403
+40.0 0.03536901825121116
+60.0 0.05046226716553377
+80.0 0.06319166233544364
+100.0 0.07320288483374399
+120.0 0.08025096045266605
+140.0 0.0842045747795784
+160.0 0.08504622778524194
+180.0 0.08286838563111748
+200.0 0.07786592178060531
+220.0 0.07032525835152915
+240.0 0.060610718408817314
+260.0 0.04914867781249635
+280.0 0.03641015942726366
+300.0 0.02289254199332614
+320.0 0.009101060686605175
+340.0 -0.004469242835181131
+360.0 -0.017350504680819532
+380.0 -0.029117402634312912
+400.0 -0.03940042373757607
+420.0 -0.04789665183921853
+440.0 -0.05437779353608712
+460.0 -0.05869526895181543
+480.0 -0.060782303673382714
+500.0 -0.06065306597126335
+520.0 -0.058398995456735575
+540.0 -0.05418256222498078
+560.0 -0.04822877639074179
+580.0 -0.04081483437706718
+600.0 -0.032258338598257275
+620.0 -0.022904560154043213
+640.0 -0.013113229343814882
+660.0 -0.0032453363812152657
+680.0 0.006349594583180174
+700.0 0.015345329802839104
+720.0 0.02344946876860151
+740.0 0.03041238555960368
+760.0 0.03603431752127721
+780.0 0.040170424987903006
+800.0 0.04273372392838349
+820.0 0.04369587193596608
+840.0 0.043085864132598115
+860.0 0.04098676673610992
+880.0 0.03753067993901185
+900.0 0.03289217641273847
+920.0 0.027280505623188026
+940.0 0.02093088610497398
+960.0 0.014095227237573355
+980.0 0.00703262870813885
+1000.0 1.3515671403081718e-17
+1020.0 -0.006756875392259227
+1040.0 -0.01301153466903808
+1060.0 -0.01856403064510058
+1080.0 -0.023246913426657502
+1100.0 -0.026929836364775184
+1120.0 -0.029522678484798306
+1140.0 -0.030977131913990225
+1160.0 -0.031286758751373996
+1180.0 -0.030485575396755088
+1200.0 -0.02864527179094835
+1220.0 -0.025871216742597854
+1240.0 -0.022297437217235375
+1260.0 -0.01808078812797642
+1280.0 -0.013394549103064908
+1300.0 -0.008421695555498548
+1320.0 -0.00334809311945568
+1340.0 0.001644142556665932
+1360.0 0.006382893966022374
+1380.0 0.010711693809474891
+1400.0 0.014494605866497463
+1420.0 0.01762019351259483
+1440.0 0.020004472298191803
+1460.0 0.02159278274140137
+1480.0 0.022360559908476935
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diff --git a/docs/tutorial/04_opt_advanced_inputs/inputs/ramping_xstim.csv b/docs/tutorial/04_opt_advanced_inputs/inputs/ramping_xstim.csv
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diff --git a/docs/tutorial/04_opt_advanced_inputs/run_bmtk.current_clamp.py b/docs/tutorial/04_opt_advanced_inputs/run_bmtk.current_clamp.py
new file mode 100644
index 00000000..6d53c9bb
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/run_bmtk.current_clamp.py
@@ -0,0 +1,22 @@
+import os
+import sys
+from bmtk.simulator import bionet
+
+
+def run(config_path):
+    conf = bionet.Config.from_json(config_path, validate=True)
+    conf.build_env()
+
+    graph = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=graph)
+    sim.run()
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    if __file__ != sys.argv[-1]:
+        config_path = sys.argv[-1]
+        run(config_path)
+    else:
+        run('config.current_clamp.json')
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/run_bmtk.voltage_clamp.py b/docs/tutorial/04_opt_advanced_inputs/run_bmtk.voltage_clamp.py
new file mode 100644
index 00000000..18f38f4b
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/run_bmtk.voltage_clamp.py
@@ -0,0 +1,27 @@
+import os
+import sys
+
+from bmtk.simulator import bionet
+from bmtk.analyzer.compartment import plot_traces
+
+
+
+def run(config_path):
+    conf = bionet.Config.from_json(config_path, validate=True)
+    conf.build_env()
+
+    graph = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=graph)
+    sim.run()
+
+    plot_traces(config_file=config_path, report_name='membrane_potential', population='net', node_ids=[0, 1])
+    # bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    if __file__ != sys.argv[-1]:
+        config_path = sys.argv[-1]
+        run(config_path)
+    else:
+        run('config.current_clamp.json')
+
diff --git a/docs/tutorial/04_opt_advanced_inputs/run_bmtk.xstim.py b/docs/tutorial/04_opt_advanced_inputs/run_bmtk.xstim.py
new file mode 100644
index 00000000..ad24fd86
--- /dev/null
+++ b/docs/tutorial/04_opt_advanced_inputs/run_bmtk.xstim.py
@@ -0,0 +1,23 @@
+"""Simulates an example network of 450 cell receiving two kinds of exernal input as defined in the configuration file"""
+import sys
+
+from bmtk.simulator import bionet
+from bmtk.analyzer.compartment import plot_traces
+
+
+def run(config_file):
+    conf = bionet.Config.from_json(config_file, validate=True)
+    conf.build_env()
+
+    graph = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=graph)
+    sim.run()
+
+    plot_traces(config_file=config_file, report_name='membrane_potential', population='bio')
+
+
+if __name__ == '__main__':
+    if __file__ != sys.argv[-1]:
+        run(sys.argv[-1])
+    else:
+        run('config.xstim.json')  # Extracellular electrode stimulation
diff --git a/docs/tutorial/05_opt_extracellular/Ch_extracellular.ipynb b/docs/tutorial/05_opt_extracellular/Ch_extracellular.ipynb
new file mode 100644
index 00000000..d3b3a341
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/Ch_extracellular.ipynb
@@ -0,0 +1,840 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "12cb39af-dc4e-4c43-8113-7c74b5f72562",
+   "metadata": {},
+   "source": [
+    "# Recording Extracellular Potentials and Current Source Densities"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b01bb08-b268-4dcf-904f-56fdde5dbb2e",
+   "metadata": {},
+   "source": [
+    "Extracellular local field potential (LFP) recordings are among the most common electrophysiological recordings for studying brain function. Thus, many scientists might be interested in recording LFPs while simulating the activity of distinct brain areas to replicate or compare to in-vivo experimental recordings. This tutorial shows how to record extracellular LFPs with BioNet, modify the extracellular resistance, and calculate the current source density (CSD) generating the measured LFPs. \n",
+    "\n",
+    "**Note** - scripts and files for running this tutorial can be found in the directory [05_opt_extracellular/](https://github.com/AllenInstitute/bmtk/tree/develop/docs/tutorial/05_opt_extracellular)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "21999a38-59d7-4a7a-a2e6-a7aebfe6b528",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## Contents\n",
+    "1. [Example: Recording Extracellular Local Field Potentials (LFPs)](#example-lfps)\n",
+    "2. [Example: Calculating the Current Source Density (CSD)](#example-cal-csd)\n",
+    "\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8775ca0d-2a02-443c-926d-df0e4e9baadd",
+   "metadata": {},
+   "source": [
+    "## 1. Example: Recording Extracellular Local Field Potentials (LFPs) <a class=\"anchor\" id=\"example-lfps\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09f9cdc4-c577-4bad-95ce-435f3873338f",
+   "metadata": {},
+   "source": [
+    "A part of BioNet's built-in functionality is the ability to record extracellular LFPs from morphologically detailed networks of cells. Like with in-vivo experiments, it involves placing one or more electrodes by the cells that will pick up the change of the extracellular potentials throughout the experiment/simulation. This can be useful for comparing simulations to actual experiment recordings taken from an M.E.A., neuronal probe, ECoG, or EEG. It can also be used to calculate the CSD, thus capturing the slow-reacting, non-spiking dynamics of your network.\n",
+    "\n",
+    "**Note:** BMTK only supports capturing the LFPs for `biophysical` **model_type** cells. It will not work in PointNet since these are point-neuron cells, which cannot directly generate extracellular potentials - generated by spatially separated transmembrane currents. Nor will it work with BioNet/NEURON `point-neuron` models. If a network contains a mix of `biophysical` and `point-neuron` models, the `point-neuron` models will be ignored when collecting extracellular recordings.\n",
+    "\n",
+    "Also, **NOTE** that adding extracellular potential recordings to your network is computationally expensive. Expect simulations to take significantly longer than if you were just recording spikes or membrane voltages.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b8afc8f-dda6-4022-91ab-4084366a734a",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "### Step 1: Building a Network (Caveats)\n",
+    "\n",
+    "Creating a network that is capable of recording LFPs is no different than the way you would normally create a SONATA-based network. And most of the time, we can dynamically add a recording electrode before any simulation. However, there are some requirements that we must be cognizant of:\n",
+    "\n",
+    "1. Our network **MUST** have attributes **x**, **y**, **z** defined for all cells being recorded by our electrode (s). Variables like spiking events or membrane potential are spatially invariant, so the exact coordinates of each cell of the network are not required. With extracellular recordings, the distance between the cells and electrodes will be very important in determining LFP.\n",
+    "2. You should also take care that **rotation_angle_xaxis**, **rotation_angle_yaxis**, and **rotation_angle_zaxis** are set properly. Especially if the cell is bipolar-like in morphology, it can make a big difference. However, if you want to use the default morphology from the *swc*, *asc*, *hoc*, etc, then not specifying the **rotation_angles** will just default rotations to 0.0\n",
+    "\n",
+    "In this example, we build our network cells like such:\n",
+    "```python\n",
+    "x, y, z = get_coords(20, y_range=[-300, -100])\n",
+    "cortcol.add_nodes(\n",
+    "    N=20,\n",
+    "\n",
+    "    # Reserved SONATA keywords used during simulation\n",
+    "    model_type='biophysical',\n",
+    "    model_template='ctdb:Biophys1.hoc',\n",
+    "    model_processing='aibs_perisomatic',\n",
+    "    dynamics_params='Scnn1a_485510712_params.json',\n",
+    "    morphology='Scnn1a_485510712_morphology.swc',\n",
+    "\n",
+    "    # The x, y, z locations and orientations (in Euler angles) of each cell\n",
+    "    # Here, rotation around the pia-to-white-matter axis is randomized\n",
+    "    x=x,\n",
+    "    y=y,\n",
+    "    z=z,\n",
+    "    rotation_angle_xaxis=0,\n",
+    "    rotation_angle_yaxis=np.random.uniform(0.0, 2 * np.pi, size=20),\n",
+    "    rotation_angle_zaxis=3.646878266,\n",
+    "\n",
+    "    tuning_angle=np.linspace(start=0.0, stop=360.0, num=20, endpoint=False),\n",
+    "    layer='L23',\n",
+    "    model_name='Scnn1a',\n",
+    "    ei='e'\n",
+    ")\n",
+    "```\n",
+    "\n",
+    "In this particular example, we use a very simplified \"cortical column\" consisting of layers `L2/3`, `L4` (which receives most of the network inputs), and `L5` pyramidal cells surrounded by inhibitory interneurons. The cells are built in a column parallel to the **y** axis and centered at **x=0** and **z=0**. \n",
+    "\n",
+    "We can use VND to visualize our network to make sure the layering and rotation of our cells are correct:\n",
+    "\n",
+    "<br>\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/lfp_cortcol_small.png\" width=\"500\" align=\"center\" style=\"margin-left:5px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "The full script for this example can be found in the file *build_network.lfp.py*. We encourage you to make changes and test out the effects different cell types, synapses, and geometry have on LFP recordings. You can also try using a different network altogether.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d273e38-7c3a-46c0-aeea-ae399859d55e",
+   "metadata": {},
+   "source": [
+    "### Step 2: Adding \"ecp\" recordings to simulation config.\n",
+    "\n",
+    "The next step is to open up our SONATA simulation configuration file (*config.lfp.json*) so that it contains the following in the \"reports\" section.\n",
+    "\n",
+    "```json\n",
+    "\"reports\": {\n",
+    "    \"cortical_electrode\": {\n",
+    "        \"module\": \"extracellular\",\n",
+    "        \"variable_name\": \"v\",\n",
+    "        \"cells\": \"all\",\n",
+    "        \"electrode_positions\": \"./components/electrodes/linear_electrode.csv\",\n",
+    "        \"electrode_channels\": \"all\"\n",
+    "    }\n",
+    "}\n",
+    "```\n",
+    "* The **module** should always be set to value `extracellular`, which tells BMTK what type of recording to apply.\n",
+    "* The **variable_name** should be set to `v`, which is the voltage just outside of every compartment membrane.\n",
+    "* Setting **cells** to all tells BMTK to record the extracellular potential of all (biophysical) cells in the model. You can use the [node_set]() to select only a portion of cells to record from. For example, if you wanted to filter by specific node-ids:\n",
+    "```json\n",
+    "    \"cells\": {\n",
+    "        \"population\": \"cortcol\",\n",
+    "        \"node_ids\": [0, 100, 200, 300]\n",
+    "    },\n",
+    "```\n",
+    "&nbsp;&nbsp;&nbsp;&nbsp; or if you wanted to record from Layer 4 excitatory cells\n",
+    "```json\n",
+    "    \"cells\": {\n",
+    "        \"layer\": \"L4\",\n",
+    "        \"ei\": \"e\"\n",
+    "    },\n",
+    "```\n",
+    "* **electrode_positions** will point to the csv file containing recording electrodes (see below)\n",
+    "* We set **electrode_channels** to `all` to indicate the use of all possible electrodes in the electrodes csv file.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d54bc46d-7fca-4a9f-8b06-7ec73fcd1d78",
+   "metadata": {},
+   "source": [
+    "### Step 3: Creating electrodes file\n",
+    "\n",
+    "We must tell BioNet the location of all recording electrodes, which we specify in the file *./componets/electrodes/linear_electrodes.csv*. This is a simple space-separated file where each line represents the `channel_id`, `x`, `y`, and `z` position for each channel that will be recording ecp from."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "3808f6c8-38bd-4779-bfd8-95be97b3df12",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>channel</th>\n",
+       "      <th>x_pos</th>\n",
+       "      <th>y_pos</th>\n",
+       "      <th>z_pos</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
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+      ],
+      "text/plain": [
+       "   channel  x_pos  y_pos  z_pos\n",
+       "0        0    0.0    0.0    0.0\n",
+       "1        1    0.0 -100.0    0.0\n",
+       "2        2    0.0 -200.0    0.0\n",
+       "3        3    0.0 -300.0    0.0\n",
+       "4        4    0.0 -400.0    0.0\n",
+       "5        5    0.0 -500.0    0.0\n",
+       "6        6    0.0 -600.0    0.0\n",
+       "7        7    0.0 -700.0    0.0\n",
+       "8        8    0.0 -800.0    0.0"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "\n",
+    "pd.read_csv('components/electrodes/linear_electrode.csv', sep=' ')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b1dbd11b-d29b-4b01-b414-70a6038fdca6",
+   "metadata": {},
+   "source": [
+    "In this example, an electrode array placed straight down the column will record the LFP at every 100-micron interval. Like with the placement of cells, we can use whatever coordinate framework for placing our network. In this case, we assume our column is centered at the axis. However, we could also use a global framework like the [CCF](https://biccn.org/standards/common-coordinate-frameworks-biccn). The important thing for BMTK is that the electrodes and cells must be in the same coordinate system. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c83436c-a787-4286-99cd-cdb3f72117c4",
+   "metadata": {},
+   "source": [
+    "### Step 4: Running the simulation\n",
+    "\n",
+    "Now that we've updated our simulation configuration accordingly, we can run the simulation like we normally would (be mindful that it will likely take longer and use more resources than normal):\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "0ab3c735-c03b-419c-bf91-0ebb6019e3a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/shared/workspace/docs/tutorial/05_opt_extracellular/components/mechanisms\n",
+      "Mod files: \"modfiles/CaDynamics.mod\" \"modfiles/Ca_HVA.mod\" \"modfiles/Ca_LVA.mod\" \"modfiles/Ih.mod\" \"modfiles/Im.mod\" \"modfiles/Im_v2.mod\" \"modfiles/K_P.mod\" \"modfiles/K_T.mod\" \"modfiles/Kd.mod\" \"modfiles/Kv2like.mod\" \"modfiles/Kv3_1.mod\" \"modfiles/NaTa.mod\" \"modfiles/NaTs.mod\" \"modfiles/NaV.mod\" \"modfiles/Nap.mod\" \"modfiles/SK.mod\" \"modfiles/exp1isyn.mod\" \"modfiles/exp1syn.mod\" \"modfiles/stp1syn.mod\" \"modfiles/stp2syn.mod\" \"modfiles/stp3syn.mod\" \"modfiles/stp4syn.mod\" \"modfiles/stp5isyn.mod\" \"modfiles/stp5syn.mod\" \"modfiles/vecevent.mod\"\n",
+      "\n",
+      "COBJS=''\n",
+      " -> \u001b[32mCompiling\u001b[0m mod_func.c\n",
+      "gcc -O2   -I.   -I/opt/conda/envs/bmtk/lib/python3.9/site-packages/neuron/.data/include  -I/nrnwheel/openmpi/include -fPIC -c mod_func.c -o mod_func.o\n",
+      " => \u001b[32mLINKING\u001b[0m shared library ./libnrnmech.so\n",
+      "g++ -O2 -DVERSION_INFO='8.0.0' -std=c++11 -shared -fPIC  -I /opt/conda/envs/bmtk/lib/python3.9/site-packages/neuron/.data/include -o ./libnrnmech.so -Wl,-soname,libnrnmech.so \\\n",
+      "  ./mod_func.o ./CaDynamics.o ./Ca_HVA.o ./Ca_LVA.o ./Ih.o ./Im.o ./Im_v2.o ./K_P.o ./K_T.o ./Kd.o ./Kv2like.o ./Kv3_1.o ./NaTa.o ./NaTs.o ./NaV.o ./Nap.o ./SK.o ./exp1isyn.o ./exp1syn.o ./stp1syn.o ./stp2syn.o ./stp3syn.o ./stp4syn.o ./stp5isyn.o ./stp5syn.o ./vecevent.o  -L/opt/conda/envs/bmtk/lib/python3.9/site-packages/neuron/.data/lib -lnrniv -Wl,-rpath,/opt/conda/envs/bmtk/lib/python3.9/site-packages/neuron/.data/lib   \n",
+      "rm -f ./.libs/libnrnmech.so ; mkdir -p ./.libs ; cp ./libnrnmech.so ./.libs/libnrnmech.so\n",
+      "Successfully created x86_64/special\n"
+     ]
+    }
+   ],
+   "source": [
+    "! cd components/mechanisms && nrnivmodl modfiles"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "314e78ab-ef2e-4b71-9b31-e67124d3b012",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Warning: no DISPLAY environment variable.\n",
+      "--No graphics will be displayed.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-10-21 17:26:00,659 [INFO] Created log file\n",
+      "2024-10-21 17:26:00,876 [INFO] Building cells.\n",
+      "2024-10-21 17:26:04,530 [INFO] Building recurrent connections\n",
+      "2024-10-21 17:26:05,813 [INFO] Building virtual cell stimulations for virt_exc_spikes\n",
+      "2024-10-21 17:26:08,413 [INFO] Running simulation for 2000.000 ms with the time step 0.100 ms\n",
+      "2024-10-21 17:26:08,414 [INFO] Starting timestep: 0 at t_sim: 0.000 ms\n",
+      "2024-10-21 17:26:08,414 [INFO] Block save every 5000 steps\n",
+      "2024-10-21 17:26:53,054 [INFO]     step:5000 t_sim:500.00 ms\n",
+      "2024-10-21 17:27:38,462 [INFO]     step:10000 t_sim:1000.00 ms\n",
+      "2024-10-21 17:28:26,600 [INFO]     step:15000 t_sim:1500.00 ms\n",
+      "2024-10-21 17:29:10,021 [INFO]     step:20000 t_sim:2000.00 ms\n",
+      "2024-10-21 17:29:10,085 [INFO] Simulation completed in 3.0 minutes, 1.672 seconds \n"
+     ]
+    }
+   ],
+   "source": [
+    "from bmtk.simulator import bionet\n",
+    "\n",
+    "bionet.reset()\n",
+    "conf = bionet.Config.from_json('config.lfp.json')\n",
+    "conf.build_env()\n",
+    "\n",
+    "net = bionet.BioNetwork.from_config(conf)\n",
+    "sim = bionet.BioSimulator.from_config(conf, network=net)\n",
+    "sim.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "505e2b14-1f8b-49e6-8324-550a71a8929d",
+   "metadata": {},
+   "source": [
+    "### Step 5: Analyzing the results\n",
+    "\n",
+    "The `bmtk.analyzer.ecp` package of BMTK includes a number of tools for analyzing and visualizing the results of the electrode recordings:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d58f72c7-73a5-46b8-aad9-f616f55708c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bmtk.analyzer.ecp import plot_ecp\n",
+    "\n",
+    "_ = plot_ecp(config_file='config.lfp.json', report_name='cortical_electrode')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "502259b2-a07c-4b37-8343-606d47d5c9b3",
+   "metadata": {},
+   "source": [
+    "But if you need to analyze the results yourself, they will be saved in the *output/cortical_electrode.h5* file, which is an HDF5 following SONATA format for [Extracellular reports](https://github.com/AllenInstitute/sonata/blob/master/docs/SONATA_DEVELOPER_GUIDE.md#extracellular-report). The results are stored in the `/ecp/data` table that is $T-timestamps x N-channels$ in size.\n",
+    "\n",
+    "\n",
+    "<br>\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/hdf5_ecp_format.png\" width=\"500\" align=\"center\" style=\"margin-left:5px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "99ce85b5-106a-4f31-a1c7-795c6f401235",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import h5py\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "channel_id = 5\n",
+    "\n",
+    "with h5py.File('output_lfp/cortical_electrode.h5', 'r') as h5:\n",
+    "    channel_idx = np.argwhere(h5['/ecp/channel_id'][()] == channel_id).flatten()\n",
+    "    ts = np.arange(start=h5['/ecp/time'][0], stop=h5['/ecp/time'][1], step=h5['/ecp/time'][2])\n",
+    "    plt.plot(ts, h5['/ecp/data'][:, channel_idx])\n",
+    "    plt.title(f'Channel {channel_id}')\n",
+    "    plt.xlabel(h5['/ecp/time'].attrs['units'])\n",
+    "    plt.ylabel(h5['/ecp/data'].attrs['units'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "db84d250-afcd-4bf2-a736-56ff816ba219",
+   "metadata": {},
+   "source": [
+    "### (Optional) Finding individual contributions\n",
+    "\n",
+    "When each channel in the electrode calculates the ECP at each given time, it does so by taking the extracellular Vm of each cell, adjusting for distance and interstitual resistance, and summing the results over all recorded cells. \n",
+    "\n",
+    "Sometimes, for deeper analysis of a simulation, you may want to measure the individual contribution each cell has on the electrode. To do so in our simulation we just need to add the **contributions_dir** option to the simulation configuration:\n",
+    "\n",
+    "```json\n",
+    "\"reports\": {\n",
+    "    \"cortical_electrode\": {\n",
+    "        \"module\": \"extracellular\",\n",
+    "        \"variable_name\": \"v\",\n",
+    "        \"cells\": \"all\",\n",
+    "        \"electrode_positions\": \"./components/electrodes/linear_electrode.csv\",\n",
+    "        \"electrode_channels\": \"all\",\n",
+    "        \"contributions_dir\": \"cell_contributions\"\n",
+    "    }\n",
+    "}\n",
+    "```\n",
+    "\n",
+    "Now, when you run the simulation, it will add an extra directory *output_lfp/cell_contributions/* that will contain N SONATA Extracellular reports for each N individual cell (The file name of each h5 will correspond to the node_id of each cell).\n",
+    "\n",
+    "Be **WARNED** that adding the \"contributions_dir\" option will take up a lot of disk space for even moderately sized networks. Feel free to edit *config.lfp.json* and see how different cells and cell-types differ in their LFP signatures.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eda4f2e5-0c31-4e44-97fe-cdccfa476944",
+   "metadata": {},
+   "source": [
+    "## 2. Example: Calculating the Current Source Density (CSD) <a class=\"anchor\" id=\"example-cal-csd\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "67133568-2105-47cc-8f30-056949ebe155",
+   "metadata": {},
+   "source": [
+    "Scientists are often interested in estimating the current sources or CSD generating the measured LFPs. Calculating the CSD associated with simulated LFPs can also be useful for comparing simulations to experimental data. This example demonstrates how to compute the CSD from the simulated LFPs in the first example using the iCSD method from [Pettersen et al. 2006](https://doi.org/10.1016/j.jneumeth.2005.12.005). The iCSD methods can be applied to data recorded from multielectrode arrays with various geometries.\n",
+    "\n",
+    "iCSD methods are available in the py-iCSD toolbox, which is a translation of the core functionality of the CSDplotter MATLAB package to Python. The py-ICSD toolbox can be downloaded from https://github.com/espenhgn/iCSD"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d9ac57ad-a270-49ac-ada1-969a37994bde",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "sys.path.append('icsd_scripts/')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "44016e87-e584-460b-97f3-0d194bd97e69",
+   "metadata": {},
+   "source": [
+    "For the below scripts you will also need to install third party packages [quantities](https://github.com/python-quantities/python-quantities) and [neo](https://github.com/NeuralEnsemble/python-neo) to handle dimensional units and electrophysiology calculations, respectively"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "37b5bd38-150b-4d49-b967-3a8ecfc3182c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/shared/workspace/docs/tutorial/05_opt_extracellular/icsd_scripts/icsd.py:1292: SyntaxWarning: \"is not\" with a literal. Did you mean \"!=\"?\n",
+      "  if f_type is not \"identity\" and f_order is None:\n"
+     ]
+    }
+   ],
+   "source": [
+    "import icsd\n",
+    "import quantities as pq"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "150dca73-2942-49d1-afeb-002af0db546f",
+   "metadata": {},
+   "source": [
+    "### Step 1: Setting up quantities for py-iCSD toolbox\n",
+    "\n",
+    "All inputs to the iCSD methods class instances are considered Quantity arrays. First, we need to patch quantities with the SI unit Siemens if it does not exist:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "eb319516-83b4-44fa-83f3-0df017eb4eb6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for symbol, prefix, definition, u_symbol in zip(\n",
+    "    ['siemens', 'S', 'mS', 'uS', 'nS', 'pS'],\n",
+    "    ['', '', 'milli', 'micro', 'nano', 'pico'],\n",
+    "    [pq.A/pq.V, pq.A/pq.V, 'S', 'mS', 'uS', 'nS'],\n",
+    "    [None, None, None, None, u'µS', None]):\n",
+    "    if type(definition) is str:\n",
+    "        definition = lastdefinition / 1000\n",
+    "    if not hasattr(pq, symbol):\n",
+    "        setattr(pq, symbol, pq.UnitQuantity(\n",
+    "            prefix + 'siemens',\n",
+    "            definition,\n",
+    "            symbol=symbol,\n",
+    "            u_symbol=u_symbol))\n",
+    "    lastdefinition = definition"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dd40b27a-7501-4885-8f2b-f7480dd0383a",
+   "metadata": {},
+   "source": [
+    "### Step 2: Preparing LFP data and defining parameters for the CSD calculation\n",
+    "\n",
+    "The iCSD method considers the CSD to have cylindrical symmetry with a diameter `diam` specified by the user based on the geometry of your simulated network or the area captured by your experimental recordings. Here, we calculate the CSD assuming a homogenous conductivity `sigma` throughout the column and an infinite medium (i.e., the extracellular conductivity above the cortical surface is the same as the grey matter conductivity - `sigma_top = sigma`). However, you can use a different value for `sigma_top` if you use substances such as saline (with a high conductivity) or oil (with a very low conductivity) to prevent the brain from drying during your experiments.\n",
+    "\n",
+    "In addition to these parameters, you need to input the LFP data `lfp` with units in SI, the coordinates of the electrodes `coord_electrode`, and the type `f_type` and order `f_order` of the spatial filter to be applied to the estimated CSD. You must append the corresponding quantities to `lfp`, `coord_electrode`, `diam`, `sigma`, and `sigma_top` to convert them to Quantity arrays.\n",
+    "\n",
+    "Here, we will use the delta-iCSD method for calculating the CSD, using a Gaussian 3-point filter with a standard deviation equal to 1 (`sigma = 1`). However, the py-iCSD toolbox also includes the step-iCSD, spline-iCSD, and std or standard CSD methods. More details on these methods can be found in [Pettersen et al. 2006](https://doi.org/10.1016/j.jneumeth.2005.12.005). \n",
+    "\n",
+    "These are examples of the input dictionaries for each method:\n",
+    "```python\n",
+    "delta_input = {\n",
+    "    'lfp' : lfp_data,\n",
+    "    'coord_electrode' : z_data,\n",
+    "    'diam' : diam,          # source diameter\n",
+    "    'sigma' : sigma,        # extracellular conductivity\n",
+    "    'sigma_top' : sigma,    # conductivity on top of cortex\n",
+    "    'f_type' : 'gaussian',  # gaussian filter\n",
+    "    'f_order' : (3, 1),     # 3-point filter, sigma = 1.\n",
+    "}\n",
+    "step_input = {\n",
+    "    'lfp' : lfp_data,\n",
+    "    'coord_electrode' : z_data,\n",
+    "    'diam' : diam,\n",
+    "    'h' : h,                # source thickness\n",
+    "    'sigma' : sigma,\n",
+    "    'sigma_top' : sigma,\n",
+    "    'tol' : 1E-12,          # Tolerance in numerical integration\n",
+    "    'f_type' : 'gaussian',\n",
+    "    'f_order' : (3, 1),\n",
+    "}\n",
+    "spline_input = {\n",
+    "    'lfp' : lfp_data,\n",
+    "    'coord_electrode' : z_data,\n",
+    "    'diam' : diam,\n",
+    "    'sigma' : sigma,\n",
+    "    'sigma_top' : sigma,\n",
+    "    'num_steps' : 201,      # Spatial CSD upsampling to N steps\n",
+    "    'tol' : 1E-12,\n",
+    "    'f_type' : 'gaussian',\n",
+    "    'f_order' : (20, 5),\n",
+    "}\n",
+    "std_input = {\n",
+    "    'lfp' : lfp_data,\n",
+    "    'coord_electrode' : z_data,\n",
+    "    'sigma' : sigma,\n",
+    "    'f_type' : 'gaussian',\n",
+    "    'f_order' : (3, 1),\n",
+    "}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ede35e49-ab83-40fe-9d8d-a8cbec883e99",
+   "metadata": {},
+   "source": [
+    "Getting the simulated LFPs and electrodes' coordinates from the first example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "0116042e-249d-45a2-9e39-23dbb99f9e96",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import h5py\n",
+    "\n",
+    "with h5py.File('output_lfp/cortical_electrode.h5', 'r') as h5:\n",
+    "    channel_idx = h5['/ecp/channel_id'][()]\n",
+    "    ts = np.arange(start=h5['/ecp/time'][0], stop=h5['/ecp/time'][1], step=h5['/ecp/time'][2])\n",
+    "    lfp = h5['/ecp/data'][()]\n",
+    "\n",
+    "\n",
+    "coord_ele = pd.read_csv('components/electrodes/linear_electrode.csv', sep=' ')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5bb82f49-177e-40d0-9a43-39e7ea17c490",
+   "metadata": {},
+   "source": [
+    "Defining the input dictionary for the delta-iCSD method: "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "b4ae6192-4565-4503-9568-8bbd68ce5c73",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "z_data = np.array(coord_ele['y_pos']) * (-1E-6) * pq.m      # [um] --> [m] linear probe - electrodes' position in depth\n",
+    "diam = 800E-6 * pq.m                              # [m] source diameter\n",
+    "h = 100E-6 * pq.m                                 # [m] distance between channels\n",
+    "sigma = 0.3* pq.S / pq.m                          # [S/m] or [1/(ohm*m)] extracellular conductivity\n",
+    "sigma_top = 0.3* pq.S / pq.m                      # [S/m] or [1/(ohm*m)] conductivity on top of cortex\n",
+    "\n",
+    "delta_input = {\n",
+    "        'lfp' : lfp.T*1E-3*pq.V, #[um] --> [V]\n",
+    "        'coord_electrode' : z_data,\n",
+    "        'diam' : diam,\n",
+    "        'sigma' : sigma,\n",
+    "        'sigma_top' : sigma_top,\n",
+    "        'f_type' : 'gaussian',  # gaussian filter\n",
+    "        'f_order' : (3, 1),     # 3-point filter, sigma = 1.\n",
+    "    }"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f520d1cf-32f5-427f-802c-c4f3771e3b30",
+   "metadata": {},
+   "source": [
+    "### Step 3: Calculating the CSD\n",
+    "\n",
+    "First, we create the delta CSD-method class instance:\n",
+    "```python\n",
+    "csd_dict = dict(\n",
+    "    delta_icsd = icsd.DeltaiCSD(**delta_input),\n",
+    ")\n",
+    "```\n",
+    "\n",
+    "The class methods get_csd() and filter_csd() are used below to get the raw and spatially filtered versions of the CSD estimates. The raw- and filtered CSD estimates are returned as Quantity arrays. \n",
+    "\n",
+    "In the comments below, we illustrate how to calculate the CSD using the other methods, considering their input dictionary is defined as shown in Step 2.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "4fb517ab-9be2-48e8-b03c-6982c91058e4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "discrete filter coefficients: \n",
+      "b = [ 0.607 1.000 0.607 ], \n",
+      "a = [ 2.213 ]\n"
+     ]
+    }
+   ],
+   "source": [
+    "csd_dict = dict(\n",
+    "    delta_icsd = icsd.DeltaiCSD(**delta_input),\n",
+    "\n",
+    "    #Other methods for computing CSD:\n",
+    "    #step_icsd = icsd.StepiCSD(**step_input),\n",
+    "    #spline_icsd = icsd.SplineiCSD(**spline_input),\n",
+    "    #std_csd = icsd.StandardCSD(**std_input),\n",
+    ")\n",
+    "\n",
+    "for method, csd_obj in list(csd_dict.items()):\n",
+    "    csd_raw =  csd_obj.get_csd()  # num_channels x trial_duration\n",
+    "    csd_smooth = csd_obj.filter_csd(csd_raw)  # num_channels x trial_duration"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "0ba20d00-f906-479d-ad34-d3fc175e97b1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 0, 'timestep')"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x800 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(3,1, figsize=(8,8))\n",
+    "\n",
+    "lfp_data = lfp.T*1E-3*pq.V\n",
+    "\n",
+    "#plot LFP signal\n",
+    "ax = axes[0]\n",
+    "im = ax.imshow(np.array(lfp_data), origin='upper', vmin=-abs(lfp_data).max(), \\\n",
+    "          vmax=abs(lfp_data).max(), cmap='bwr')\n",
+    "ax.axis(ax.axis('tight'))\n",
+    "cb = plt.colorbar(im, ax=ax)\n",
+    "cb.set_label('LFP (%s)' % lfp_data.dimensionality.string)\n",
+    "ax.set_xticklabels([])\n",
+    "ax.set_title('LFP')\n",
+    "ax.set_ylabel('ch #')\n",
+    "\n",
+    "#plot raw csd estimate\n",
+    "ax = axes[1]\n",
+    "im = ax.imshow(np.array(csd_raw), origin='upper', vmin=-abs(csd_raw).max(), \\\n",
+    "      vmax=abs(csd_raw).max(), cmap='jet_r')\n",
+    "ax.axis(ax.axis('tight'))\n",
+    "ax.set_title(csd_obj.name)\n",
+    "cb = plt.colorbar(im, ax=ax)\n",
+    "cb.set_label('CSD (%s)' % csd_raw.dimensionality.string)\n",
+    "ax.set_xticklabels([])\n",
+    "ax.set_ylabel('ch #')\n",
+    "\n",
+    "#plot spatially filtered csd estimate\n",
+    "ax = axes[2]\n",
+    "im = ax.imshow(np.array(csd_smooth), origin='upper', vmin=-abs(csd_smooth).max(), \\\n",
+    "      vmax=abs(csd_smooth).max(), cmap='jet_r')\n",
+    "ax.axis(ax.axis('tight'))\n",
+    "ax.set_title(csd_obj.name + ', filtered')\n",
+    "cb = plt.colorbar(im, ax=ax)\n",
+    "cb.set_label('CSD (%s)' % csd_smooth.dimensionality.string)\n",
+    "ax.set_ylabel('ch #')\n",
+    "ax.set_xlabel('timestep')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e4e75331-bb64-409e-aadc-6945c799d5a1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/tutorial/05_opt_extracellular/_static/_tutorial_images/hdf5_ecp_format.png b/docs/tutorial/05_opt_extracellular/_static/_tutorial_images/hdf5_ecp_format.png
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+++ b/docs/tutorial/05_opt_extracellular/build_network.lfp.py
@@ -0,0 +1,626 @@
+import numpy as np
+
+from bmtk.builder.networks import NetworkBuilder
+from bmtk.builder.bionet import rand_syn_locations
+
+# L2/3 - 150 - 300
+# L4 - 300 - 400
+# L5 - 400 - 550
+def get_coords(N, radius_min=0.0, radius_max=400.0, y_range=[300, 400]):
+    phi = 2.0 * np.pi * np.random.random([N])
+    r = np.sqrt((radius_min ** 2 - radius_max ** 2) * np.random.random([N]) + radius_max ** 2)
+    x = r * np.cos(phi)
+    y = np.random.uniform(y_range[0], y_range[1], size=N)
+    z = r * np.sin(phi)
+    return x, y, z
+
+
+# def generate_coords_plane(ncells, size_x=240.0, size_y=120.0):
+#     xs = np.random.uniform(0.0, size_x, ncells)
+#     ys = np.random.uniform(0.0, size_y, ncells)
+#     return xs, ys
+
+
+# def exc_exc_rule(source, target, max_syns):
+#     """Connect rule for exc-->exc neurons, should return an integer 0 or greater"""
+#     if source['node_id'] == target['node_id']:
+#         # prevent a cell from synapsing with itself
+#         return 0
+
+#     # calculate the distance between tuning angles and use it to choose
+#     # number of connections using a binomial distribution.
+#     src_tuning = source['tuning_angle']
+#     trg_tuning = target['tuning_angle']
+#     tuning_dist = np.abs((src_tuning - trg_tuning + 180) % 360 - 180)
+#     probs = 1.0 - (np.max((tuning_dist, 10.0)) / 180.0)
+#     return np.random.binomial(n=max_syns, p=probs)
+
+
+# def others_conn_rule(source, target, max_syns, max_distance=300.0, sigma=60.0):
+#     if source['node_id'] == target['node_id']:
+#         return 0
+
+#     dist = np.sqrt((source['x'] - target['x']) ** 2 + (source['z'] - target['z']) ** 2)
+#     if dist > max_distance:
+#         return 0
+
+#     prob = np.exp(-(dist / sigma) ** 2)
+#     return np.random.binomial(n=max_syns, p=prob)
+
+
+# def connect_lgn_cells(source, targets, max_targets, min_syns=1, max_syns=15, lgn_size=(240, 120),
+#                       l4_radius=400.0, ellipse=(100.0, 500.0)):
+#     # Map the lgn cells from the plane to the circle
+#     x, y = source['x'], source['y']
+#     x = x / lgn_size[0] - 0.5
+#     y = y / lgn_size[1] - 0.5
+#     src_x = x * np.sqrt(1.0 - (y**2/2.0)) * l4_radius
+#     src_y = y * np.sqrt(1.0 - (x**2/2.0)) * l4_radius
+
+#     # Find (the indices) of all the target cells that are within the given ellipse, if there are more than max_targets
+#     # then randomly choose them
+#     a, b = ellipse[0]**2, ellipse[1]**2
+#     dists = [(src_x-t['x'])**2/a + (src_y-t['y'])**2/b for t in targets]
+#     valid_targets = np.argwhere(np.array(dists) <= 1.0).flatten()
+#     if len(valid_targets) > max_targets:
+#         valid_targets = np.random.choice(valid_targets, size=max_targets, replace=False)
+
+#     # Create an array of all synapse count. Most targets with have 0 connection, except for the "valid_targets" which
+#     # will have between [min_syns, max_syns] number of connections.
+#     nsyns_arr = np.zeros(len(targets), dtype=int)
+#     for idx in valid_targets:
+#         nsyns_arr[idx] = np.random.randint(min_syns, max_syns)
+
+#     return nsyns_arr
+
+
+cortcol = NetworkBuilder('cortcol')
+
+x, y, z = get_coords(20, y_range=[-300, -100])
+cortcol.add_nodes(
+    N=20,
+
+    # Reserved SONATA keywords used during simulation
+    model_type='biophysical',
+    model_template='ctdb:Biophys1.hoc',
+    model_processing='aibs_perisomatic',
+    dynamics_params='Scnn1a_485510712_params.json',
+    morphology='Scnn1a_485510712_morphology.swc',
+
+    # The x, y, z locations and orientations (in Euler angles) of each cell
+    # Here, rotation around the pia-to-white-matter axis is randomized
+    x=x,
+    y=y,
+    z=z,
+    rotation_angle_xaxis=[0]*20,
+    rotation_angle_yaxis=np.random.uniform(0.0, 2 * np.pi, size=20),
+    rotation_angle_zaxis=[3.646878266]*20,
+
+    tuning_angle=np.linspace(start=0.0, stop=360.0, num=20, endpoint=False),
+    layer='L23',
+    model_name='Scnn1a',
+    ei='e'
+)
+
+
+x, y, z = get_coords(20, y_range=[-400, -300])
+cortcol.add_nodes(
+    N=20,
+    model_type='biophysical',
+    model_template='ctdb:Biophys1.hoc',
+    model_processing='aibs_perisomatic',
+    dynamics_params='Scnn1a_485510712_params.json',
+    morphology='Scnn1a_485510712_morphology.swc',
+
+    # The x, y, z locations and orientations (in Euler angles) of each cell
+    # Here, rotation around the pia-to-white-matter axis is randomized
+    x=x,
+    y=y,
+    z=z,
+    rotation_angle_xaxis=[0]*20,
+    rotation_angle_yaxis=np.random.uniform(0.0, 2 * np.pi, size=20),
+    rotation_angle_zaxis=[3.646878266]*20,
+
+    tuning_angle=np.linspace(start=0.0, stop=360.0, num=20, endpoint=False),
+    layer='L4',
+    model_name='Scnn1a',
+    ei='e'
+)
+
+
+x, y, z = get_coords(20, y_range=[-600, -400])
+cortcol.add_nodes(
+    N=20,
+    model_type='biophysical',
+    model_template='ctdb:Biophys1.hoc',
+    model_processing='aibs_perisomatic',
+    dynamics_params='Scnn1a_485510712_params.json',
+    morphology='Scnn1a_485510712_morphology.swc',
+    x=x,
+    y=y,
+    z=z,
+    rotation_angle_xaxis=[0]*20,
+    rotation_angle_yaxis=np.random.uniform(0.0, 2 * np.pi, size=20),
+    rotation_angle_zaxis=[3.646878266]*20,
+
+    tuning_angle=np.linspace(start=0.0, stop=360.0, num=20, endpoint=False),
+    layer='L5',
+    model_name='Scnn1a',
+    ei='e'
+)
+
+x, y, z = get_coords(20, y_range=[-600, -100])
+cortcol.add_nodes(
+    N=20,
+    model_type='biophysical',
+    model_template='ctdb:Biophys1.hoc',
+    model_processing='aibs_perisomatic',
+    dynamics_params='Pvalb_473862421_params.json',
+    morphology='Pvalb_473862421_morphology.swc',
+    x=x,
+    y=y,
+    z=z,
+    rotation_angle_xaxis=np.random.uniform(0.0, 2*np.pi, size=20),
+    rotation_angle_yaxis=np.random.uniform(0.0, 2*np.pi, size=20),
+    rotation_angle_zaxis=[2.539551891]*20,
+    model_name='Pvalb',
+    ei='i'
+)
+
+cortcol.add_edges(
+    source={'ei': 'e'}, 
+    target={'ei': 'e'},
+    connection_rule=lambda *_: np.random.randint(10, 15),
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    syn_weight=6.0e-03,
+    delay=0.5,
+    target_sections=['somatic', 'basal', 'apical'],
+    distance_range=[2.0, 1.0e20]
+)
+
+cortcol.add_edges(
+    # Exc --> Inh connections
+    source={'ei': 'e'},
+    target={'ei': 'i'},
+    connection_rule=lambda *_: np.random.randint(1, 10),
+    dynamics_params='AMPA_ExcToInh.json',
+    model_template='Exp2Syn',
+    syn_weight=0.002,
+    delay=3.0,
+    target_sections=['somatic', 'basal'],
+    distance_range=[0.0, 1.0e+20])
+
+cortcol.add_edges(
+    # Inh --> Exc connections
+    source={'ei': 'i'},
+    target={'ei': 'e'},
+
+    connection_rule=lambda *_: np.random.randint(0, 6),
+    dynamics_params='GABA_InhToExc.json',
+    model_template='Exp2Syn',
+    syn_weight=0.0002,
+    delay=2.0,
+    target_sections=['somatic', 'basal', 'apical'],
+    distance_range=[0.0, 50.0]
+)
+
+cortcol.build()
+cortcol.save(output_dir='network_lfp')
+
+
+thalamus = NetworkBuilder('thalamus')
+thalamus.add_nodes(
+    N=50,
+    model_type='virtual',
+    model_template='lgnmodel:tOFF_TF15',
+    x=np.random.uniform(0.0, 240.0, 50),
+    y=np.random.uniform(0.0, 120.0, 50),
+    spatial_size=1.0,
+    pop_name='tOFF',
+    dynamics_params='tOFF_TF15.json'
+)
+thalamus.add_nodes(
+    N=50,
+    model_type='virtual',
+    model_template='lgnmodel:tON',
+    x=np.random.uniform(0.0, 240.0, 50),
+    y=np.random.uniform(0.0, 120.0, 50),
+    spatial_size=1.0,
+    pop_name='tON',
+    dynamics_params='tON_TF8.json'
+)
+thalamus.add_edges(
+    source=thalamus.nodes(),
+    target=cortcol.nodes(ei='e', layer='L4'), 
+    connection_rule=20,
+    # iterator='one_to_all',
+    dynamics_params='AMPA_ExcToExc.json',
+    model_template='Exp2Syn',
+    delay=2.0,
+    syn_weight=0.00041,
+    target_sections=['basal', 'apical', 'somatic'],
+    distance_range=[0.0, 50.0]
+)
+# lgn.add_edges(
+#     target=visp.nodes(ei='i'), source=lgn.nodes(),
+#     connection_rule=10,
+#     dynamics_params='AMPA_ExcToInh.json',
+#     model_template='Exp2Syn',
+#     delay=2.0,
+#     syn_weight=0.00095,
+#     target_sections=['basal', 'apical', 'somatic'],
+#     distance_range=[0.0, 1e+20]
+# )
+
+
+thalamus.build()
+thalamus.save(output_dir='network_lfp')
+
+# def create_l4(network_dir):
+#     l4 = NetworkBuilder('l4')
+
+#     x, y, z = get_coords(20)
+#     l4.add_nodes(
+#         N=20,
+
+#         # Reserved SONATA keywords used during simulation
+#         model_type='biophysical',
+#         model_template='ctdb:Biophys1.hoc',
+#         model_processing='aibs_perisomatic',
+#         dynamics_params='Scnn1a_485510712_params.json',
+#         morphology='Scnn1a_485510712_morphology.swc',
+
+#         # The x, y, z locations and orientations (in Euler angles) of each cell
+#         # Here, rotation around the pia-to-white-matter axis is randomized
+#         x=x,
+#         y=y,
+#         z=z,
+#         rotation_angle_xaxis=0,
+#         rotation_angle_yaxis=np.random.uniform(0.0, 2 * np.pi, size=20),
+#         rotation_angle_zaxis=3.646878266,
+
+#         # Optional parameters
+#         tuning_angle=np.linspace(start=0.0, stop=360.0, num=20, endpoint=False),
+#         model_name='Scnn1a',
+#         ei_type='e'
+#     )
+#     x, y, z = get_coords(20)
+#     l4.add_nodes(
+#         # Rorb excitatory cells
+#         N=20,
+#         model_type='biophysical',
+#         model_template='ctdb:Biophys1.hoc',
+#         dynamics_params='Rorb_486509958_params.json',
+#         morphology='Rorb_486509958_morphology.swc',
+#         model_processing='aibs_perisomatic',
+
+#         x=x, y=y, z=z,
+#         rotation_angle_xaxis=0,
+#         rotation_angle_yaxis=np.random.uniform(0.0, 2 * np.pi, size=20),
+#         rotation_angle_zaxis=4.159763785,
+
+#         model_name='Rorb',
+#         ei_type='e',
+#         tuning_angle=np.linspace(start=0.0, stop=360.0, num=20, endpoint=False),
+#     )
+
+#     x, y, z = get_coords(20)
+#     l4.add_nodes(
+#         # Nr5a1 excitatory cells
+#         N=20,
+#         model_type='biophysical',
+#         model_template='ctdb:Biophys1.hoc',
+#         dynamics_params='Nr5a1_485507735_params.json',
+#         morphology='Nr5a1_485507735_morphology.swc',
+#         model_processing='aibs_perisomatic',
+
+#         x=x, y=y, z=z,
+#         rotation_angle_xaxis=0,
+#         rotation_angle_yaxis=np.random.uniform(0.0, 2 * np.pi, size=20),
+#         rotation_angle_zaxis=4.159763785,
+
+#         model_name='Nr5a1',
+#         ei_type='e',
+#         tuning_angle=np.linspace(start=0.0, stop=360.0, num=20, endpoint=False),
+#     )
+
+#     x, y, z = get_coords(15)
+#     l4.add_nodes(
+#         # Parvalbumin inhibitory cells, note these aren't assigned a tuning angle and ei=i
+#         N=15,
+
+#         model_type='biophysical',
+#         model_template='ctdb:Biophys1.hoc',
+#         dynamics_params='Pvalb_473862421_params.json',
+#         morphology='Pvalb_473862421_morphology.swc',
+#         model_processing='aibs_perisomatic',
+
+#         x=x, y=y, z=z,
+#         rotation_angle_xaxis=0,
+#         rotation_angle_yaxis=np.random.uniform(0.0, 2 * np.pi, size=15),
+#         rotation_angle_zaxis=2.539551891,
+
+#         model_name='PValb',
+#         ei_type='i',
+#     )
+
+#     conns = l4.add_edges(
+#         # filter for subpopulation or source and target nodes
+#         source=l4.nodes(ei_type='e'),
+#         target=l4.nodes(ei_type='e'),
+
+#         # connection function + any required parameters
+#         connection_rule=exc_exc_rule,
+#         connection_params={'max_syns': 15},
+
+#         # edge-type parameters
+#         syn_weight=3.0e-05,
+#         delay=2.0,
+#         dynamics_params='AMPA_ExcToExc.json',
+#         model_template='Exp2Syn',
+#     )
+#     conns.add_properties(
+#         ['afferent_section_id', 'afferent_section_pos', 'afferent_swc_id', 'afferent_swc_pos'],
+#         rule=rand_syn_locations,
+#         rule_params={
+#             'sections': ['basal', 'apical'],
+#             'distance_range': [30.0, 150.0],
+#             'morphology_dir': 'components/morphologies'
+#         },
+#         dtypes=[int, float, int, float]
+#     )
+
+#     ## Create e --> i connections
+#     conns = l4.add_edges(
+#         source=l4.nodes(ei_type='e'),
+#         target=l4.nodes(ei_type='i'),
+#         connection_rule=others_conn_rule,
+#         connection_params={'max_syns': 8},
+#         syn_weight=0.0006,
+#         delay=2.0,
+#         dynamics_params='AMPA_ExcToInh.json',
+#         model_template='Exp2Syn',
+#     )
+#     conns.add_properties(
+#         ['afferent_section_id', 'afferent_section_pos', 'afferent_swc_id', 'afferent_swc_pos'],
+#         rule=rand_syn_locations,
+#         rule_params={
+#             'sections': ['somatic', 'basal'],
+#             'distance_range': [0.0, 1.0e+20],
+#             'morphology_dir': 'components/morphologies'
+#         },
+#         dtypes=[int, float, int, float]
+#     )
+
+#     ## Create i --> e connections
+#     conns = l4.add_edges(
+#         source=l4.nodes(ei_type='i'),
+#         target=l4.nodes(ei_type='e'),
+#         connection_rule=others_conn_rule,
+#         connection_params={'max_syns': 4},
+#         syn_weight=0.07,
+#         delay=2.0,
+#         dynamics_params='GABA_InhToExc.json',
+#         model_template='Exp2Syn',
+#     )
+#     conns.add_properties(
+#         ['afferent_section_id', 'afferent_section_pos', 'afferent_swc_id', 'afferent_swc_pos'],
+#         rule=rand_syn_locations,
+#         rule_params={
+#             'sections': ['somatic', 'basal', 'apical'],
+#             'distance_range': [0.0, 50.0],
+#             'morphology_dir': 'components/morphologies'
+#         },
+#         dtypes=[int, float, int, float]
+#     )
+
+#     ## Create i --> i connections
+#     conns = l4.add_edges(
+#         source=l4.nodes(ei_type='i'),
+#         target=l4.nodes(ei_type='i'),
+#         connection_rule=others_conn_rule,
+#         connection_params={'max_syns': 4},
+#         syn_weight=0.00015,
+#         delay=2.0,
+#         dynamics_params='GABA_InhToInh.json',
+#         model_template='Exp2Syn',
+#     )
+#     conns.add_properties(
+#         ['afferent_section_id', 'afferent_section_pos', 'afferent_swc_id', 'afferent_swc_pos'],
+#         rule=rand_syn_locations,
+#         rule_params={
+#             'sections': ['somatic', 'basal', 'apical'],
+#             'distance_range': [0.0, 1.0e+20],
+#             'morphology_dir': 'components/morphologies'
+#         },
+#         dtypes=[int, float, int, float]
+#     )
+
+#     l4.build()
+#     l4.save(output_dir='network')
+
+#     return l4
+
+
+# def create_lgn(l4):
+#     lgn = NetworkBuilder('lgn')
+
+#     x, y = generate_coords_plane(100)
+#     lgn.add_nodes(
+#         N=100,
+#         x=x,
+#         y=y,
+#         model_type='virtual',
+#         model_template='lgnmodel:tON',
+#         dynamics_params='tON_TF15.json',
+#         ei_type='e'
+#     )
+
+#     conns = lgn.add_edges(
+#         source=lgn.nodes(),
+#         target=l4.nodes(ei_type='e'),
+#         connection_rule=connect_lgn_cells,
+#         connection_params={'max_targets': 6},
+#         iterator='one_to_all',
+#         model_template='Exp2Syn',
+#         dynamics_params='AMPA_ExcToExc.json',
+#         delay=2.0,
+#         syn_weight=0.0019
+#     )
+#     conns.add_properties(
+#         ['afferent_section_id', 'afferent_section_pos', 'afferent_swc_id', 'afferent_swc_pos'],
+#         rule=rand_syn_locations,
+#         rule_params={
+#             'sections': ['somatic', 'basal', 'apical'],
+#             'distance_range': [0.0, 1.0e+20],
+#             'morphology_dir': 'components/morphologies'
+#         },
+#         dtypes=[int, float, int, float]
+#     )
+
+#     conns = lgn.add_edges(
+#         source=lgn.nodes(),
+#         target=l4.nodes(ei_type='i'),
+#         connection_rule=connect_lgn_cells,
+#         connection_params={'max_targets': 12, 'ellipse': (400.0, 400.0)},
+#         iterator='one_to_all',
+#         model_template='Exp2Syn',
+#         dynamics_params='AMPA_ExcToInh.json',
+#         delay=2.0,
+#         syn_weight=0.003
+#     )
+#     conns.add_properties(
+#         ['afferent_section_id', 'afferent_section_pos', 'afferent_swc_id', 'afferent_swc_pos'],
+#         rule=rand_syn_locations,
+#         rule_params={
+#             'sections': ['somatic', 'basal', 'apical'],
+#             'distance_range': [0.0, 1.0e+20],
+#             'morphology_dir': 'components/morphologies'
+#         },
+#         dtypes=[int, float, int, float]
+#     )
+
+#     lgn.build()
+#     lgn.save(output_dir='network')
+
+
+# def create_lifs(l4):
+#     lif = NetworkBuilder('lif')
+
+#     # place neurons on outer ring
+#     x, y, z = get_coords(80, radius_min=400.0, radius_max=800.0)
+#     lif.add_nodes(
+#         N=80,
+#         x=x, y=y, z=z,
+#         model_type='point_neuron',
+#         model_template='nrn:IntFire1',
+#         dynamics_params='IntFire1_exc_1.json',
+#         model_name='LIF_exc',
+#         ei_type='e',
+#     )
+
+#     x, y, z = get_coords(20, radius_min=400.0, radius_max=800.0)
+#     lif.add_nodes(
+#         N=20,
+#         x=x, y=y, z=z,
+#         model_type='point_neuron',
+#         model_template='nrn:IntFire1',
+#         dynamics_params='IntFire1_inh_1.json',
+#         model_name='LIF_inh',
+#         ei_type='i',
+#     )
+
+#     # Connect LIFs --> L4
+#     lif.add_edges(
+#         source=lif.nodes(ei_type='e'), target=l4.nodes(ei_type='e'),
+#         connection_rule=8,
+#         syn_weight=0.015,
+#         delay=2.0,
+#         distance_range=[30.0, 150.0],
+#         target_sections=['somatic', 'basal', 'apical'],
+#         dynamics_params='AMPA_ExcToExc.json',
+#         model_template='Exp2Syn'
+#     )
+
+#     lif.add_edges(
+#         source=lif.nodes(ei_type='e'), target=l4.nodes(ei_type='i'),
+#         connection_rule=5,
+#         syn_weight=0.015,
+#         delay=2.0,
+#         distance_range=[30.0, 150.0],
+#         target_sections=['somatic', 'basal'],
+#         dynamics_params='AMPA_ExcToInh.json',
+#         model_template='Exp2Syn'
+#     )
+
+#     lif.add_edges(
+#         source=lif.nodes(ei_type='i'), target=l4.nodes(ei_type='e'),
+#         connection_rule=5,
+#         syn_weight=0.095,
+#         delay=2.0,
+#         distance_range=[0.0, 50.0],
+#         target_sections=['somatic', 'basal', 'apical'],
+#         dynamics_params='GABA_InhToExc.json',
+#         model_template='Exp2Syn'
+#     )
+
+#     lif.add_edges(
+#         source=lif.nodes(ei_type='i'), target=l4.nodes(ei_type='i'),
+#         connection_rule=5,
+#         syn_weight=0.095,
+#         delay=2.0,
+#         distance_range=[0.0, 1e+20],
+#         target_sections=['somatic', 'basal'],
+#         dynamics_params='GABA_InhToInh.json',
+#         model_template='Exp2Syn'
+#     )
+
+#     # Connect L4 --> LIFs
+#     lif.add_edges(
+#         source=l4.nodes(ei_type='e'), target=lif.nodes(),
+#         connection_rule=lambda *_: np.random.randint(0, 12),
+#         syn_weight=0.015,
+#         delay=2.0,
+#         dynamics_params='instantaneousExc.json',
+#         model_template='Exp2Syn'
+#     )
+
+#     lif.add_edges(
+#         source=l4.nodes(ei_type='i'), target=lif.nodes(),
+#         connection_rule=lambda *_: np.random.randint(0, 12),
+#         syn_weight=0.05,
+#         delay=2.0,
+#         dynamics_params='instantaneousInh.json',
+#         model_template='Exp2Syn'
+#     )
+
+#     # Connect LIFs --> LIFs
+#     lif.add_edges(
+#         source=lif.nodes(ei_type='e'), target=lif.nodes(),
+#         connection_rule=lambda *_: np.random.randint(0, 12),
+#         syn_weight=0.005,
+#         delay=2.0,
+#         dynamics_params='instantaneousExc.json',
+#         model_template='Exp2Syn'
+#     )
+
+#     lif.add_edges(
+#         source=lif.nodes(ei_type='i'), target=lif.nodes(),
+#         connection_rule=lambda *_: np.random.randint(0, 12),
+#         syn_weight=0.020,
+#         delay=2.0,
+#         dynamics_params='instantaneousInh.json',
+#         model_template='Exp2Syn'
+#     )
+
+
+# if __name__ == '__main__':
+#     print('Building l4')
+#     l4 = create_l4('network')
+
+#     print('Building lgn')
+#     create_lgn(l4)
+
+#     print('Building lifs')
+#     create_lifs(l4)
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Nr5a1_485507735_params.json b/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Nr5a1_485507735_params.json
new file mode 100644
index 00000000..c5cd60b1
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Nr5a1_485507735_params.json
@@ -0,0 +1,148 @@
+{
+  "passive": [
+    {
+      "ra": 324.007874602, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "axon", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "dend", 
+          "cm": 2.750071758412201
+        }, 
+        {
+          "section": "apic", 
+          "cm": 2.750071758412201
+        }
+      ], 
+      "e_pas": -95.39225196838379
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        66, 
+        67, 
+        68, 
+        69
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -95.39225196838379
+    }
+  ], 
+  "genome": [
+    {
+      "section": "soma", 
+      "name": "gbar_Im", 
+      "value": 0.001208331925254469, 
+      "mechanism": "Im"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "value": 3.3895743062339889e-07, 
+      "mechanism": "Ih"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_NaTs", 
+      "value": 0.37190842732044982, 
+      "mechanism": "NaTs"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Nap", 
+      "value": 0.0039571777539675118, 
+      "mechanism": "Nap"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_K_P", 
+      "value": 0.16775882342830961, 
+      "mechanism": "K_P"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "value": 0.0049255740705275164, 
+      "mechanism": "K_T"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "value": 0.0021013149742564741, 
+      "mechanism": "SK"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "value": 0.14828964332694683, 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "value": 0.00042916703400973334, 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "value": 0.00082631165050270241, 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "value": 0.0011356235818674677, 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "value": 805.79133357008755, 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "g_pas", 
+      "value": 0.00023989400647704806, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "axon", 
+      "name": "g_pas", 
+      "value": 0.00016046138825921941, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "dend", 
+      "name": "g_pas", 
+      "value": 0.00021576881414849498, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "apic", 
+      "name": "g_pas", 
+      "value": 9.7428255654937774e-05, 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Pvalb_473862421_params.json b/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Pvalb_473862421_params.json
new file mode 100644
index 00000000..97acb020
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Pvalb_473862421_params.json
@@ -0,0 +1,135 @@
+{
+  "passive": [
+    {
+      "ra": 165.043810596, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 2.22229833871
+        }, 
+        {
+          "section": "axon", 
+          "cm": 2.22229833871
+        }, 
+        {
+          "section": "dend", 
+          "cm": 2.22229833871
+        }
+      ], 
+      "e_pas": -87.37230682373047
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        40
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -87.37230682373047
+    }
+  ], 
+  "genome": [
+    {
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "value": 0.00028918148171832306, 
+      "mechanism": "Ih"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_NaV", 
+      "value": 0.058014543022859681, 
+      "mechanism": "NaV"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Kd", 
+      "value": 0.0010690585854891154, 
+      "mechanism": "Kd"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Kv2like", 
+      "value": 0.0019155385688926097, 
+      "mechanism": "Kv2like"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "value": 1.1418319671301926, 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "value": 0.02809468489424316, 
+      "mechanism": "K_T"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Im_v2", 
+      "value": 0.0063814397958922133, 
+      "mechanism": "Im_v2"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "value": 8.8148305240377811e-06, 
+      "mechanism": "SK"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "value": 0.00073439372435641964, 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "value": 0.00021377849056254395, 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "value": 0.0043320648574568773, 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "value": 569.01425505518728, 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "g_pas", 
+      "value": 0.00057441529168598753, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "axon", 
+      "name": "g_pas", 
+      "value": 9.5525621425433387e-05, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "dend", 
+      "name": "g_pas", 
+      "value": 1.0002747846356705e-07, 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Rorb_486509958_params.json b/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Rorb_486509958_params.json
new file mode 100644
index 00000000..e9e87314
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Rorb_486509958_params.json
@@ -0,0 +1,145 @@
+{
+  "passive": [
+    {
+      "ra": 28.292678117573736, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "axon", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "dend", 
+          "cm": 2.523057408207212
+        }, 
+        {
+          "section": "apic", 
+          "cm": 2.523057408207212
+        }
+      ], 
+      "e_pas": -95.52335357666016
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        49
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -95.52335357666016
+    }
+  ], 
+  "genome": [
+    {
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "value": 2.5374725765871712e-06, 
+      "mechanism": "Ih"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_NaV", 
+      "value": 0.34453074059624594, 
+      "mechanism": "NaV"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Kd", 
+      "value": 2.1562149985856615e-11, 
+      "mechanism": "Kd"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Kv2like", 
+      "value": 0.011400590254160202, 
+      "mechanism": "Kv2like"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "value": 0.23775079867328591, 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "value": 0.021795766278746794, 
+      "mechanism": "K_T"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Im_v2", 
+      "value": 0.011617082423130925, 
+      "mechanism": "Im_v2"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "value": 0.00083538434923959015, 
+      "mechanism": "SK"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "value": 0.00038419005745996053, 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "value": 0.00020569925173446801, 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "value": 0.0053165424812619414, 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "value": 952.33389461845229, 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "g_pas", 
+      "value": 0.00040582050830603744, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "axon", 
+      "name": "g_pas", 
+      "value": 0.00054376303566492973, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "dend", 
+      "name": "g_pas", 
+      "value": 6.9660029616666359e-05, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "apic", 
+      "name": "g_pas", 
+      "value": 4.6275302055329323e-05, 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Scnn1a_485510712_params.json b/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Scnn1a_485510712_params.json
new file mode 100644
index 00000000..09ae90db
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/biophysical_neuron_models/Scnn1a_485510712_params.json
@@ -0,0 +1,145 @@
+{
+  "passive": [
+    {
+      "ra": 97.884995612, 
+      "cm": [
+        {
+          "section": "soma", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "axon", 
+          "cm": 1.0
+        }, 
+        {
+          "section": "dend", 
+          "cm": 6.60030189809047
+        }, 
+        {
+          "section": "apic", 
+          "cm": 6.60030189809047
+        }
+      ], 
+      "e_pas": -87.3881607055664
+    }
+  ], 
+  "fitting": [
+    {
+      "junction_potential": -14.0, 
+      "sweeps": [
+        35
+      ]
+    }
+  ], 
+  "conditions": [
+    {
+      "celsius": 34.0, 
+      "erev": [
+        {
+          "ena": 53.0, 
+          "section": "soma", 
+          "ek": -107.0
+        }
+      ], 
+      "v_init": -87.3881607055664
+    }
+  ], 
+  "genome": [
+    {
+      "section": "soma", 
+      "name": "gbar_Im", 
+      "value": 3.6252897138377983e-06, 
+      "mechanism": "Im"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ih", 
+      "value": 6.8401950770180524e-13, 
+      "mechanism": "Ih"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_NaTs", 
+      "value": 0.80445811847908832, 
+      "mechanism": "NaTs"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Nap", 
+      "value": 1.5287439466549202e-07, 
+      "mechanism": "Nap"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_K_P", 
+      "value": 0.086345660923300316, 
+      "mechanism": "K_P"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_K_T", 
+      "value": 1.7440121102829664e-07, 
+      "mechanism": "K_T"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_SK", 
+      "value": 0.0041070704344665643, 
+      "mechanism": "SK"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Kv3_1", 
+      "value": 0.093344807514917139, 
+      "mechanism": "Kv3_1"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_HVA", 
+      "value": 0.00060833855377752605, 
+      "mechanism": "Ca_HVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gbar_Ca_LVA", 
+      "value": 0.0091769239503974153, 
+      "mechanism": "Ca_LVA"
+    }, 
+    {
+      "section": "soma", 
+      "name": "gamma_CaDynamics", 
+      "value": 0.00065480591105915873, 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "decay_CaDynamics", 
+      "value": 312.55384609975539, 
+      "mechanism": "CaDynamics"
+    }, 
+    {
+      "section": "soma", 
+      "name": "g_pas", 
+      "value": 9.5062399071850021e-05, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "axon", 
+      "name": "g_pas", 
+      "value": 6.7437165553712972e-06, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "dend", 
+      "name": "g_pas", 
+      "value": 1.8372762835837482e-06, 
+      "mechanism": ""
+    }, 
+    {
+      "section": "apic", 
+      "name": "g_pas", 
+      "value": 0.00040237231931351884, 
+      "mechanism": ""
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/electrodes/linear_electrode.csv b/docs/tutorial/05_opt_extracellular/components/electrodes/linear_electrode.csv
new file mode 100644
index 00000000..919496bc
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/electrodes/linear_electrode.csv
@@ -0,0 +1,10 @@
+channel x_pos y_pos z_pos
+0 0.0 0.0 0.0
+1 0.0 -100.0 0.0
+2 0.0 -200.0 0.0
+3 0.0 -300.0 0.0
+4 0.0 -400.0 0.0
+5 0.0 -500.0 0.0
+6 0.0 -600.0 0.0
+7 0.0 -700.0 0.0
+8 0.0 -800.0 0.0
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/filter_models/tOFF_TF15.json b/docs/tutorial/05_opt_extracellular/components/filter_models/tOFF_TF15.json
new file mode 100644
index 00000000..4e9b43af
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/filter_models/tOFF_TF15.json
@@ -0,0 +1,51 @@
+{
+  "sopt_msg": [
+    "After ", 
+    "8", 
+    "function evaluations, TNC returned:", 
+    "Converged (|f_n-f_(n-1)| ~= 0)"
+  ], 
+  "sopt_nf": 8, 
+  "sopt_res": [
+    3.4416603571978417, 
+    -2.1155994819051305, 
+    8.269733598229024, 
+    19.99148791096526
+  ], 
+  "init_prms": [
+    3.44215357, 
+    -2.11509939, 
+    8.27421573, 
+    20.0
+  ], 
+  "opt_wts": [
+    3.4416603571978417, 
+    -2.1155994819051305
+  ], 
+  "prms_bds": [
+    [
+      1.0, 
+      10.0
+    ], 
+    [
+      -10.0, 
+      -0.05
+    ], 
+    [
+      2, 
+      100
+    ], 
+    [
+      2, 
+      200
+    ]
+  ], 
+  "opt_delays": [
+    0, 
+    0
+  ], 
+  "opt_kpeaks": [
+    8.269733598229024, 
+    19.99148791096526
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/filter_models/tON_TF8.json b/docs/tutorial/05_opt_extracellular/components/filter_models/tON_TF8.json
new file mode 100644
index 00000000..e6116ab8
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/filter_models/tON_TF8.json
@@ -0,0 +1,51 @@
+{
+  "sopt_msg": [
+    "After ", 
+    "20", 
+    "function evaluations, TNC returned:", 
+    "Converged (|f_n-f_(n-1)| ~= 0)"
+  ], 
+  "sopt_nf": 20, 
+  "sopt_res": [
+    4.21848979193672, 
+    -2.404989833331929, 
+    8.524645232832142, 
+    23.246816713624384
+  ], 
+  "init_prms": [
+    4.222, 
+    -2.404, 
+    8.545, 
+    23.019
+  ], 
+  "opt_wts": [
+    4.21848979193672, 
+    -2.404989833331929
+  ], 
+  "prms_bds": [
+    [
+      1.0, 
+      10.0
+    ], 
+    [
+      -10.0, 
+      -0.05
+    ], 
+    [
+      2, 
+      100
+    ], 
+    [
+      2, 
+      200
+    ]
+  ], 
+  "opt_delays": [
+    0, 
+    0
+  ], 
+  "opt_kpeaks": [
+    8.524645232832142, 
+    23.246816713624384
+  ]
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/CaDynamics.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/CaDynamics.mod
new file mode 100644
index 00000000..12af0659
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/CaDynamics.mod
@@ -0,0 +1,40 @@
+: Dynamics that track inside calcium concentration
+: modified from Destexhe et al. 1994
+
+NEURON	{
+	SUFFIX CaDynamics
+	USEION ca READ ica WRITE cai
+	RANGE decay, gamma, minCai, depth
+}
+
+UNITS	{
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+	FARADAY = (faraday) (coulombs)
+	(molar) = (1/liter)
+	(mM) = (millimolar)
+	(um)	= (micron)
+}
+
+PARAMETER	{
+	gamma = 0.05 : percent of free calcium (not buffered)
+	decay = 80 (ms) : rate of removal of calcium
+	depth = 0.1 (um) : depth of shell
+	minCai = 1e-4 (mM)
+}
+
+ASSIGNED	{ica (mA/cm2)}
+
+INITIAL {
+	cai = minCai
+}
+
+STATE	{
+	cai (mM)
+}
+
+BREAKPOINT	{ SOLVE states METHOD cnexp }
+
+DERIVATIVE states	{
+	cai' = -(10000)*(ica*gamma/(2*FARADAY*depth)) - (cai - minCai)/decay
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Ca_HVA.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Ca_HVA.mod
new file mode 100644
index 00000000..84db2d3c
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Ca_HVA.mod
@@ -0,0 +1,82 @@
+: Reference:		Reuveni, Friedman, Amitai, and Gutnick, J.Neurosci. 1993
+
+NEURON	{
+	SUFFIX Ca_HVA
+	USEION ca READ eca WRITE ica
+	RANGE gbar, g, ica 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+}
+
+ASSIGNED	{
+	v	(mV)
+	eca	(mV)
+	ica	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{ 
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ica = g*(v-eca)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+    :   if((v == -27) ){        
+    :       v = v+0.0001
+    :   }
+		:mAlpha =  (0.055*(-27-v))/(exp((-27-v)/3.8) - 1)
+		mAlpha = 0.055 * vtrap(-27 - v, 3.8)        
+		mBeta  =  (0.94*exp((-75-v)/17))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = 1/(mAlpha + mBeta)
+		hAlpha =  (0.000457*exp((-13-v)/50))
+		hBeta  =  (0.0065/(exp((-v-15)/28)+1))
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = 1/(hAlpha + hBeta)
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Ca_LVA.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Ca_LVA.mod
new file mode 100644
index 00000000..ab151d0e
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Ca_LVA.mod
@@ -0,0 +1,69 @@
+: Comment: LVA ca channel. Note: mtau is an approximation from the plots
+: Reference:		Avery and Johnston 1996, tau from Randall 1997
+: Comment: shifted by -10 mv to correct for junction potential
+: Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Ca_LVA
+	USEION ca READ eca WRITE ica
+	RANGE gbar, g, ica
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	eca	(mV)
+	ica	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ica = g*(v-eca)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		v = v + 10
+		mInf = 1.0000/(1+ exp((v - -30.000)/-6))
+		mTau = (5.0000 + 20.0000/(1+exp((v - -25.000)/5)))/qt
+		hInf = 1.0000/(1+ exp((v - -80.000)/6.4))
+		hTau = (20.0000 + 50.0000/(1+exp((v - -40.000)/7)))/qt
+		v = v - 10
+	UNITSON
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Ih.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Ih.mod
new file mode 100644
index 00000000..73b97d84
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Ih.mod
@@ -0,0 +1,71 @@
+: Reference:		Kole,Hallermann,and Stuart, J. Neurosci. 2006
+
+NEURON	{
+	SUFFIX Ih
+	NONSPECIFIC_CURRENT ihcn
+	RANGE gbar, g, ihcn 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+	ehcn =  -45.0 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ihcn	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ihcn = g*(v-ehcn)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+    :    if(v == -154.9){
+    :       v = v + 0.0001
+    :    }
+		:mAlpha =  0.001*6.43*(v+154.9)/(exp((v+154.9)/11.9)-1)
+		mAlpha = 0.001 * 6.43 * vtrap(v + 154.9, 11.9)
+		mBeta  =  0.001*193*exp(v/33.1)
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = 1/(mAlpha + mBeta)
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Im.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Im.mod
new file mode 100644
index 00000000..d6112d57
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Im.mod
@@ -0,0 +1,62 @@
+: Reference:		Adams et al. 1982 - M-currents and other potassium currents in bullfrog sympathetic neurones
+: Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Im
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2) 
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		mAlpha = 3.3e-3*exp(2.5*0.04*(v - -35))
+		mBeta = 3.3e-3*exp(-2.5*0.04*(v - -35))
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Im_v2.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Im_v2.mod
new file mode 100644
index 00000000..fc219f71
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Im_v2.mod
@@ -0,0 +1,59 @@
+: Based on Im model of Vervaeke et al. (2006)
+
+NEURON	{
+	SUFFIX Im_v2
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+}
+
+STATE	{
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-30)/10)
+  mAlpha = 0.007 * exp( (6 * 0.4 * (v - (-48))) / 26.12 )
+  mBeta = 0.007 * exp( (-6 * (1 - 0.4) * (v - (-48))) / 26.12 )
+
+	mInf = mAlpha / (mAlpha + mBeta)
+  mTau = (15 + 1 / (mAlpha + mBeta)) / qt
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/K_P.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/K_P.mod
new file mode 100644
index 00000000..0a1238f9
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/K_P.mod
@@ -0,0 +1,71 @@
+: Comment: The persistent component of the K current
+: Reference:		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+
+
+NEURON	{
+	SUFFIX K_P
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshift = 0 (mV)
+	tauF = 1
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*h
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+	UNITSOFF
+		mInf =  1 / (1 + exp(-(v - (-14.3 + vshift)) / 14.6))
+    if (v < -50 + vshift){
+    	mTau = tauF * (1.25+175.03*exp(-(v - vshift) * -0.026))/qt
+    } else {
+      mTau = tauF * (1.25+13*exp(-(v - vshift) * 0.026))/qt
+    }
+		hInf =  1/(1 + exp(-(v - (-54 + vshift))/-11))
+		hTau =  (360+(1010+24*(v - (-55 + vshift)))*exp(-((v - (-75 + vshift))/48)^2))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/K_T.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/K_T.mod
new file mode 100644
index 00000000..c31beaff
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/K_T.mod
@@ -0,0 +1,68 @@
+: Comment: The transient component of the K current
+: Reference:		Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats:subtypes and gradients,Korngreen and Sakmann, J. Physiology, 2000
+
+NEURON	{
+	SUFFIX K_T
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshift = 0 (mV)
+	mTauF = 1.0
+	hTauF = 1.0
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*m*h
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		mInf =  1/(1 + exp(-(v - (-47 + vshift)) / 29))
+		mTau =  (0.34 + mTauF * 0.92*exp(-((v+71-vshift)/59)^2))/qt
+		hInf =  1/(1 + exp(-(v+66-vshift)/-10))
+		hTau =  (8 + hTauF * 49*exp(-((v+73-vshift)/23)^2))/qt
+	UNITSON
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Kd.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Kd.mod
new file mode 100644
index 00000000..82cbe59a
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Kd.mod
@@ -0,0 +1,62 @@
+: Based on Kd model of Foust et al. (2011)
+
+
+NEURON	{
+	SUFFIX Kd
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	hInf
+	hTau
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m * h
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+	h' = (hInf - h) / hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+	mInf = 1 - 1 / (1 + exp((v - (-43)) / 8))
+  mTau = 1
+  hInf = 1 / (1 + exp((v - (-67)) / 7.3))
+  hTau = 1500
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Kv2like.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Kv2like.mod
new file mode 100644
index 00000000..1cbdf843
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Kv2like.mod
@@ -0,0 +1,86 @@
+: Kv2-like channel
+: Adapted from model implemented in Keren et al. 2005
+: Adjusted parameters to be similar to guangxitoxin-sensitive current in mouse CA1 pyramids from Liu and Bean 2014
+
+
+NEURON	{
+	SUFFIX Kv2like
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mAlpha
+	mBeta
+	mTau
+	hInf
+	h1Tau
+	h2Tau
+}
+
+STATE	{
+	m
+	h1
+	h2
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar * m * m * (0.5 * h1 + 0.5 * h2)
+	ik = g * (v - ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf - m) / mTau
+	h1' = (hInf - h1) / h1Tau
+	h2' = (hInf - h2) / h2Tau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h1 = hInf
+	h2 = hInf
+}
+
+PROCEDURE rates() {
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+	UNITSOFF
+		mAlpha = 0.12 * vtrap( -(v - 43), 11.0)
+		mBeta = 0.02 * exp(-(v + 1.27) / 120)
+		mInf = mAlpha / (mAlpha + mBeta)
+		mTau = 2.5 * (1 / (qt * (mAlpha + mBeta)))
+
+		hInf =  1/(1 + exp((v + 58) / 11))
+		h1Tau = (360 + (1010 + 23.7 * (v + 54)) * exp(-((v + 75) / 48)^2)) / qt
+		h2Tau = (2350 + 1380 * exp(-0.011 * v) - 210 * exp(-0.03 * v)) / qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Kv3_1.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Kv3_1.mod
new file mode 100644
index 00000000..e2446577
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Kv3_1.mod
@@ -0,0 +1,54 @@
+: Comment: Kv3-like potassium current
+
+NEURON	{
+	SUFFIX Kv3_1
+	USEION k READ ek WRITE ik
+	RANGE gbar, g, ik 
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+	vshift = 0 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ek	(mV)
+	ik	(mA/cm2)
+	g	(S/cm2)
+	mInf
+	mTau
+}
+
+STATE	{ 
+	m
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m
+	ik = g*(v-ek)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+}
+
+PROCEDURE rates(){
+	UNITSOFF
+		mInf =  1/(1+exp(((v -(18.700 + vshift))/(-9.700))))
+		mTau =  0.2*20.000/(1+exp(((v -(-46.560 + vshift))/(-44.140))))
+	UNITSON
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/NaTa.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/NaTa.mod
new file mode 100644
index 00000000..fcf7bd39
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/NaTa.mod
@@ -0,0 +1,95 @@
+: Reference: Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTa
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+
+	malphaF = 0.182
+	mbetaF = 0.124
+	mvhalf = -48 (mV)
+	mk = 6 (mV)
+
+	halphaF = 0.015
+	hbetaF = 0.015
+	hvhalf = -69 (mV)
+	hk = 6 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+
+	UNITSOFF
+		mAlpha = malphaF * vtrap(-(v - mvhalf), mk)
+		mBeta = mbetaF * vtrap((v - mvhalf), mk)
+
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+
+		hAlpha = halphaF * vtrap(v - hvhalf, hk) : ng - adjusted this to match actual Colbert & Pan values for soma model
+		hBeta = hbetaF * vtrap(-(v - hvhalf), hk) : ng - adjusted this to match actual Colbert & Pan values for soma model
+
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/NaTs.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/NaTs.mod
new file mode 100644
index 00000000..f753e718
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/NaTs.mod
@@ -0,0 +1,95 @@
+: Reference: Colbert and Pan 2002
+
+NEURON	{
+	SUFFIX NaTs
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+
+	malphaF = 0.182
+	mbetaF = 0.124
+	mvhalf = -40 (mV)
+	mk = 6 (mV)
+
+	halphaF = 0.015
+	hbetaF = 0.015
+	hvhalf = -66 (mV)
+	hk = 6 (mV)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	mTau
+	mAlpha
+	mBeta
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	m
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	g = gbar*m*m*m*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	m' = (mInf-m)/mTau
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	m = mInf
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-23)/10)
+
+	UNITSOFF
+		mAlpha = malphaF * vtrap(-(v - mvhalf), mk)
+		mBeta = mbetaF * vtrap((v - mvhalf), mk)
+
+		mInf = mAlpha/(mAlpha + mBeta)
+		mTau = (1/(mAlpha + mBeta))/qt
+
+		hAlpha = halphaF * vtrap(v - hvhalf, hk)
+		hBeta = hbetaF * vtrap(-(v - hvhalf), hk)
+
+		hInf = hAlpha/(hAlpha + hBeta)
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/NaV.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/NaV.mod
new file mode 100644
index 00000000..a7023956
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/NaV.mod
@@ -0,0 +1,186 @@
+TITLE Mouse sodium current
+: Kinetics of Carter et al. (2012)
+: Based on 37 degC recordings from mouse hippocampal CA1 pyramids
+
+NEURON {
+  SUFFIX NaV
+  USEION na READ ena WRITE ina
+  RANGE g, gbar
+}
+
+UNITS { 
+	(mV) = (millivolt)
+	(S) = (siemens)
+}
+
+PARAMETER {
+	gbar = .015			(S/cm2)
+
+	: kinetic parameters
+	Con = 0.01			(/ms)					: closed -> inactivated transitions
+	Coff = 40				(/ms)					: inactivated -> closed transitions
+	Oon = 8					(/ms)					: open -> Ineg transition
+	Ooff = 0.05			(/ms)					: Ineg -> open transition
+	alpha = 400			(/ms)
+	beta = 12				(/ms)
+	gamma = 250			(/ms)					: opening
+	delta = 60			(/ms)					: closing
+
+	alfac = 2.51
+	btfac = 5.32
+
+	: Vdep
+	x1 = 24				(mV)								: Vdep of activation (alpha)
+	x2 = -24			(mV)								: Vdep of deactivation (beta)
+}
+
+ASSIGNED {
+
+	: rates
+	f01  		(/ms)
+	f02  		(/ms)
+	f03 		(/ms)
+	f04			(/ms)
+	f0O 		(/ms)
+	f11 		(/ms)
+	f12 		(/ms)
+	f13 		(/ms)
+	f14 		(/ms)
+	f1n 		(/ms)
+	fi1 		(/ms)
+	fi2 		(/ms)
+	fi3 		(/ms)
+	fi4 		(/ms)
+	fi5 		(/ms)
+	fin 		(/ms)
+
+	b01 		(/ms)
+	b02 		(/ms)
+	b03 		(/ms)
+	b04			(/ms)
+	b0O 		(/ms)
+	b11  		(/ms)
+	b12 		(/ms)
+	b13 		(/ms)
+	b14 		(/ms)
+	b1n 		(/ms)
+	bi1 		(/ms)
+	bi2 		(/ms)
+	bi3 		(/ms)
+	bi4 		(/ms)
+	bi5 		(/ms)
+	bin 		(/ms)
+	
+	v				(mV)
+ 	ena			(mV)
+	ina			(milliamp/cm2)
+	g				(S/cm2)
+	celsius (degC)
+}
+
+STATE {
+	C1 FROM 0 TO 1
+	C2 FROM 0 TO 1
+	C3 FROM 0 TO 1
+	C4 FROM 0 TO 1
+	C5 FROM 0 TO 1
+	I1 FROM 0 TO 1
+	I2 FROM 0 TO 1
+	I3 FROM 0 TO 1
+	I4 FROM 0 TO 1
+	I5 FROM 0 TO 1
+	O FROM 0 TO 1
+	I6 FROM 0 TO 1
+}
+
+BREAKPOINT {
+	SOLVE activation METHOD sparse
+	g = gbar * O
+	ina = g * (v - ena)
+}
+
+INITIAL {
+ rates(v)
+ SOLVE seqinitial
+}
+
+KINETIC activation
+{
+	rates(v)
+	~ C1 <-> C2					(f01,b01)
+	~ C2 <-> C3					(f02,b02)
+	~ C3 <-> C4					(f03,b03)
+	~ C4 <-> C5					(f04,b04)
+	~ C5 <-> O					(f0O,b0O)
+	~ O <-> I6					(fin,bin)
+	~ I1 <-> I2					(f11,b11)
+	~ I2 <-> I3					(f12,b12)
+	~ I3 <-> I4					(f13,b13)
+	~ I4 <-> I5					(f14,b14)
+	~ I5 <-> I6					(f1n,b1n)
+	~ C1 <-> I1					(fi1,bi1)
+	~ C2 <-> I2					(fi2,bi2)
+	~ C3 <-> I3					(fi3,bi3)
+ 	~ C4 <-> I4					(fi4,bi4)
+ 	~ C5 <-> I5					(fi5,bi5)
+
+	CONSERVE C1 + C2 + C3 + C4 + C5 + O + I1 + I2 + I3 + I4 + I5 + I6 = 1
+}
+
+LINEAR seqinitial { : sets initial equilibrium
+	~          I1*bi1 + C2*b01 - C1*(    fi1+f01) = 0
+	~ C1*f01 + I2*bi2 + C3*b02 - C2*(b01+fi2+f02) = 0
+	~ C2*f02 + I3*bi3 + C4*b03 - C3*(b02+fi3+f03) = 0
+	~ C3*f03 + I4*bi4 + C5*b04 - C4*(b03+fi4+f04) = 0
+	~ C4*f04 + I5*bi5 + O*b0O  - C5*(b04+fi5+f0O) = 0
+	~ C5*f0O + I6*bin          - O*(b0O+fin)      = 0
+
+	~          C1*fi1 + I2*b11 - I1*(    bi1+f11) = 0
+	~ I1*f11 + C2*fi2 + I3*b12 - I2*(b11+bi2+f12) = 0
+	~ I2*f12 + C3*fi3 + I4*bi3 - I3*(b12+bi3+f13) = 0
+	~ I3*f13 + C4*fi4 + I5*b14 - I4*(b13+bi4+f14) = 0
+	~ I4*f14 + C5*fi5 + I6*b1n - I5*(b14+bi5+f1n) = 0
+	
+	~ C1 + C2 + C3 + C4 + C5 + O + I1 + I2 + I3 + I4 + I5 + I6 = 1
+}
+
+PROCEDURE rates(v(mV) )
+{
+  LOCAL qt
+  qt = 2.3^((celsius-37)/10)
+
+	f01 = qt * 4 * alpha * exp(v/x1)
+	f02 = qt * 3 * alpha * exp(v/x1)
+	f03 = qt * 2 * alpha * exp(v/x1)
+	f04 = qt * 1 * alpha * exp(v/x1)
+	f0O = qt * gamma
+	f11 = qt * 4 * alpha * alfac * exp(v/x1)
+	f12 = qt * 3 * alpha * alfac * exp(v/x1)
+	f13 = qt * 2 * alpha * alfac * exp(v/x1)
+	f14 = qt * 1 * alpha * alfac * exp(v/x1)
+	f1n = qt * gamma
+	fi1 = qt * Con
+	fi2 = qt * Con * alfac
+	fi3 = qt * Con * alfac^2
+	fi4 = qt * Con * alfac^3
+	fi5 = qt * Con * alfac^4
+	fin = qt * Oon
+
+	b01 = qt * 1 * beta * exp(v/x2)
+	b02 = qt * 2 * beta * exp(v/x2)
+	b03 = qt * 3 * beta * exp(v/x2)
+	b04 = qt * 4 * beta * exp(v/x2)
+	b0O = qt * delta
+	b11 = qt * 1 * beta * exp(v/x2) / btfac
+	b12 = qt * 2 * beta * exp(v/x2) / btfac
+	b13 = qt * 3 * beta * exp(v/x2) / btfac
+	b14 = qt * 4 * beta * exp(v/x2) / btfac
+	b1n = qt * delta
+	bi1 = qt * Coff
+	bi2 = qt * Coff / (btfac)
+	bi3 = qt * Coff / (btfac^2)
+	bi4 = qt * Coff / (btfac^3)
+	bi5 = qt * Coff / (btfac^4)
+	bin = qt * Ooff
+}
+
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Nap.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Nap.mod
new file mode 100644
index 00000000..ef8021ec
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/Nap.mod
@@ -0,0 +1,77 @@
+:Reference : Modeled according to kinetics derived from Magistretti & Alonso 1999
+:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21
+
+NEURON	{
+	SUFFIX Nap
+	USEION na READ ena WRITE ina
+	RANGE gbar, g, ina
+}
+
+UNITS	{
+	(S) = (siemens)
+	(mV) = (millivolt)
+	(mA) = (milliamp)
+}
+
+PARAMETER	{
+	gbar = 0.00001 (S/cm2)
+}
+
+ASSIGNED	{
+	v	(mV)
+	ena	(mV)
+	ina	(mA/cm2)
+	g	(S/cm2)
+	celsius (degC)
+	mInf
+	hInf
+	hTau
+	hAlpha
+	hBeta
+}
+
+STATE	{
+	h
+}
+
+BREAKPOINT	{
+	SOLVE states METHOD cnexp
+	rates()
+	g = gbar*mInf*h
+	ina = g*(v-ena)
+}
+
+DERIVATIVE states	{
+	rates()
+	h' = (hInf-h)/hTau
+}
+
+INITIAL{
+	rates()
+	h = hInf
+}
+
+PROCEDURE rates(){
+  LOCAL qt
+  qt = 2.3^((celsius-21)/10)
+
+	UNITSOFF
+		mInf = 1.0/(1+exp((v- -52.6)/-4.6)) : assuming instantaneous activation as modeled by Magistretti and Alonso
+
+		hInf = 1.0/(1+exp((v- -48.8)/10))
+		hAlpha = 2.88e-6 * vtrap(v + 17, 4.63)
+		hBeta = 6.94e-6 * vtrap(-(v + 64.4), 2.63)
+
+		hTau = (1/(hAlpha + hBeta))/qt
+	UNITSON
+}
+
+FUNCTION vtrap(x, y) { : Traps for 0 in denominator of rate equations
+	UNITSOFF
+	if (fabs(x / y) < 1e-6) {
+		vtrap = y * (1 - x / y / 2)
+	} else {
+		vtrap = x / (exp(x / y) - 1)
+	}
+	UNITSON
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/SK.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/SK.mod
new file mode 100644
index 00000000..8bfa3b72
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/SK.mod
@@ -0,0 +1,56 @@
+: SK-type calcium-activated potassium current
+: Reference : Kohler et al. 1996
+
+NEURON {
+       SUFFIX SK
+       USEION k READ ek WRITE ik
+       USEION ca READ cai
+       RANGE gbar, g, ik
+}
+
+UNITS {
+      (mV) = (millivolt)
+      (mA) = (milliamp)
+      (mM) = (milli/liter)
+}
+
+PARAMETER {
+          v            (mV)
+          gbar = .000001 (mho/cm2)
+          zTau = 1              (ms)
+          ek           (mV)
+          cai          (mM)
+}
+
+ASSIGNED {
+         zInf
+         ik            (mA/cm2)
+         g	       (S/cm2)
+}
+
+STATE {
+      z   FROM 0 TO 1
+}
+
+BREAKPOINT {
+           SOLVE states METHOD cnexp
+           g  = gbar * z
+           ik   =  g * (v - ek)
+}
+
+DERIVATIVE states {
+        rates(cai)
+        z' = (zInf - z) / zTau
+}
+
+PROCEDURE rates(ca(mM)) {
+          if(ca < 1e-7){
+	              ca = ca + 1e-07
+          }
+          zInf = 1/(1 + (0.00043 / ca)^4.8)
+}
+
+INITIAL {
+        rates(cai)
+        z = zInf
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/exp1isyn.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/exp1isyn.mod
new file mode 100644
index 00000000..e8700401
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/exp1isyn.mod
@@ -0,0 +1,52 @@
+COMMENT
+Current-based version of the conductance-based model exp1syn (refer to the exp1syn.mod)
+In this model the synatic current is defined as i = g*e, whereas in the conductance based model i = g*(v - e).
+Since the current is proportional to conductance, this model may be used to report the values of conductance by recording the current.
+
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+NEURON {
+	POINT_PROCESS exp1isyn
+	RANGE tau, e, i
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(uS) = (microsiemens)
+}
+
+PARAMETER {
+	tau = 0.1 (ms) <1e-9,1e9>
+	e = 0	(mV)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	g (uS)
+}
+
+INITIAL {
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*e
+}
+
+DERIVATIVE state {
+	g' = -g/tau
+}
+
+NET_RECEIVE(weight (uS)) {
+	g = g + weight
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/exp1syn.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/exp1syn.mod
new file mode 100644
index 00000000..6763e687
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/exp1syn.mod
@@ -0,0 +1,42 @@
+NEURON {
+	POINT_PROCESS exp1syn
+	RANGE tau, e, i
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(uS) = (microsiemens)
+}
+
+PARAMETER {
+	tau = 0.1 (ms) <1e-9,1e9>
+	e = 0	(mV)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	g (uS)
+}
+
+INITIAL {
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v-e)
+}
+
+DERIVATIVE state {
+	g' = -g/tau
+}
+
+NET_RECEIVE(weight (uS)) {
+	g = g + weight
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp1syn.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp1syn.mod
new file mode 100644
index 00000000..3490c587
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp1syn.mod
@@ -0,0 +1,75 @@
+COMMENT
+A model (# 1 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp1syn
+	RANGE e, i, tau_r, p0, tau_1
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+	: tau_r = recovery time constant
+	tau_r = 100 (ms)
+	: p0  = baseline level of release probability
+	p0 = 0.3
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	g
+}
+
+INITIAL {
+	n=1
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0
+	n = n - n*p0
+		
+
+}
+
+
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp2syn.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp2syn.mod
new file mode 100644
index 00000000..ce1d1625
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp2syn.mod
@@ -0,0 +1,95 @@
+COMMENT
+A model (# 2 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,5) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	tau_r = time constant for vesicle replenishment
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+
+
+NEURON {
+	POINT_PROCESS stp2syn
+	RANGE e, i, p0, tau_1, tau_r0, a_FDR, tau_FDR, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+	(uS) = (microsiemens)
+
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: p0  = baseline level of release probability
+	p0 = 0.3
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 5 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = magnitude of tau_r reduction after each spike
+	a_FDR = 0.5
+
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax 
+}
+
+STATE {
+	n
+	tau_r
+	g
+}
+
+INITIAL {
+	n=1
+	tau_r=tau_r0
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+	Pmax = n*p0
+}
+
+DERIVATIVE state {
+	g' = -g/tau_1
+	n' = (1-n)/tau_r
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p0
+	tau_r = tau_r - a_FDR*tau_r
+
+}
+
+
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp3syn.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp3syn.mod
new file mode 100644
index 00000000..31869840
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp3syn.mod
@@ -0,0 +1,102 @@
+COMMENT
+A model (# 3 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,5,10) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	D = fraction of non-desensitized receptors
+	tau_r = time constant for vesicle replenishment
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp3syn
+	RANGE e, i, p0, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: p0  = baseline level of release probability
+	p0 = 0.3
+
+	: tau_f = facilitation time constant
+	tau_f = 1000 (ms) < 0, 1e9 >
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = magnitude of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D 
+	a_D = 0.5 
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	tau_r
+	D
+	g
+}
+
+INITIAL {
+	n=1
+	tau_r=tau_r0
+	g=0
+	D=1
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0*D
+	n = n - n*p0
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p0*n*D
+
+}
+
+
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp4syn.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp4syn.mod
new file mode 100644
index 00000000..1ba964be
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp4syn.mod
@@ -0,0 +1,83 @@
+COMMENT
+A model (# 4 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity. 
+The magnitude of the peak conductance is found by 
+solving Eqs (3,4) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+
+State variables:
+
+	n = fraction of available vesicles 
+	p = release probability
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where
+w is the static synaptic weight and Pmax is the dynamically changing factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1
+
+Implemented by Sergey L. Gratiy
+
+ENDCOMMENT
+
+
+
+
+NEURON {
+	POINT_PROCESS stp4syn
+	RANGE e, i, tau_r, p0, tau_1,tau_f
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+	: tau_r = recovery time constant
+	tau_r = 100 (ms)
+	: p0  = baseline level of release probability
+	p0 = 0.3
+	: tau_f = facilitation time constant
+	tau_f = 1000 (ms) < 0, 1e9 >
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+}
+
+STATE {
+	n
+	p
+	g
+}
+
+INITIAL {
+	n=1
+	p=1
+	g=0
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+}
+
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	g' = -g/tau_1
+    p' = 0
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*n*p0
+	n = n - n*p0
+	p = p + p0*(1-p)
+
+}
+
+
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp5isyn.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp5isyn.mod
new file mode 100644
index 00000000..d6b6c105
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp5isyn.mod
@@ -0,0 +1,113 @@
+COMMENT
+Current-based version of the conductance-based model stp5syn (refer to the stp5syn.mod)
+In this model the synatic current is defined as i = g*e, whereas in the conductance based model i = g*(v - e).
+Since the current is proportional to conductance, this model may be used to report the values of conductance by recording the current.
+
+ENDCOMMENT
+
+
+NEURON {
+	POINT_PROCESS stp5isyn
+	RANGE e, i, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D, a_i, tau_i, a_f, tau_f, pbtilde, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = amount of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D = amount of desentization
+	a_D = 0.5 
+
+	: tau_i = relaxation time for p0 
+	tau_i = 100 (ms) 
+
+	: a_i = amount of decrease of baseline probability after each spike 
+	a_i = 0.5 
+
+	: tau_f = facilitation time constant (relaxation time constant for p) 
+	tau_f = 10 (ms) 
+
+	: a_f = amount of facilitation  (increase of p after each spike)
+	a_f = 0.5 
+
+	: pbtilde = baseline level of pb
+	pbtilde = 0.5 
+
+}
+
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax
+}
+
+STATE {
+	n
+	p
+	tau_r
+	D
+	pb
+	g
+}
+
+INITIAL {
+	n=1
+	pb=pbtilde
+	p=pb
+	tau_r=tau_r0
+	D=1
+	g=0
+
+}
+
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+:	i = g*(v - e)
+	i = g*e
+	Pmax = n*p*D
+
+}
+
+DERIVATIVE state {
+	g' = -g/tau_1
+	n' = (1-n)/tau_r
+	p' = (pb-p)/tau_f
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+	pb' = (pbtilde-pb)/tau_i
+
+}
+
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p
+	p = p + a_f*(1-p)
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p*n*D
+	pb = pb - a_i*pb
+
+}
+
+
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp5syn.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp5syn.mod
new file mode 100644
index 00000000..621fe9e1
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/stp5syn.mod
@@ -0,0 +1,131 @@
+COMMENT
+A model (# 5 using terminology of Jung Hoon Lee) of a short-term synaptic plasticity.
+The magnitude of the peak conductance is found by solving Eqs (3,4,5,8,10) in Hennig, 2013. "Theoretical models of synaptic short term plasticity. Frontiers in computational neuroscience, 7, p.45."
+This file could be used to simulate simpler models by setting to zero the parameters in the unused equations(e.g, a_D,a_i,a_f).
+
+State variables:
+
+	n = fraction of available vesicles 
+	D = fraction of non-desensitized receptors
+	tau_r = time constant for vesicle replenishment
+	pb = baseline vesicle release probability
+	p = vesicle release probability
+
+After each spike the magnitude of the peak conductance changes by the factor w*Pmax, where w is the static synaptic weight and Pmax is the activity-dependent factor that could be interpreted as a probability of a transmitter release by the presynaptic terminal.
+
+The post_synaptic dynamics of individual synaptic events is modeled by a single exponential synapse with the time constant tau_1.
+
+Implemented by Sergey L. Gratiy,
+
+ENDCOMMENT
+
+: Declaring parameters as RANGE allows them to change as a function of a position alogn the cell
+NEURON {
+	POINT_PROCESS stp5syn
+	RANGE e, i, tau_1, tau_r0, a_FDR, tau_FDR, a_D, tau_D, a_i, tau_i, a_f, tau_f, pbtilde, Pmax
+	NONSPECIFIC_CURRENT i
+}
+
+UNITS {
+	(nA) = (nanoamp)
+	(mV) = (millivolt)
+	(umho) = (micromho)
+}
+
+: Declaration of the default values of parameters
+PARAMETER {
+	: e = synaptic reversal potential
+	e = 0 (mV)
+
+	: tau_1 = baseline level of release probability
+	tau_1 = 10 (ms)
+
+	: tau_r0 = baseline level of tau_r0
+	tau_r0 = 1000 (ms)
+
+	: tau_FDR = time constant for tau_r relaxation
+	tau_FDR = 1000 (ms)
+
+	: a_FDR = amount of tau_r reduction after each spike
+	a_FDR = 0.5
+
+	: tau_D = relaxation time of D 
+	tau_D = 100 (ms) 
+
+	: a_D = amount of desentization
+	a_D = 0.5 
+
+	: tau_i = relaxation time for p0 
+	tau_i = 100 (ms) 
+
+	: a_i = amount of decrease of baseline probability after each spike 
+	a_i = 0.5 
+
+	: tau_f = facilitation time constant (relaxation time constant for p) 
+	tau_f = 10 (ms) 
+
+	: a_f = amount of facilitation  (increase of p after each spike)
+	a_f = 0.5 
+
+	: pbtilde = baseline level of p0
+	pbtilde = 0.5 
+
+}
+: Declaration of dependent and external variables that collectively are called ASSIGNED
+ASSIGNED {
+	v (mV)
+	i (nA)
+	Pmax
+}
+
+: Declaration of the state variables
+STATE {
+	n
+	p
+	tau_r
+	D
+	pb
+	g
+}
+
+: Initial conditions for the state variables
+INITIAL {
+	n=1
+	p=1
+	tau_r=tau_r0
+	D=1
+	pb=pbtilde
+	g=0
+
+}
+
+: Integration method + assignment statements
+BREAKPOINT {
+	SOLVE state METHOD cnexp
+	i = g*(v - e)
+	Pmax = n*p*D
+}
+
+: Definition of teh dynamics between the presynaptic activations
+DERIVATIVE state {
+	n' = (1-n)/tau_r
+	p' = (pb-p)/tau_f
+	tau_r' = (tau_r0-tau_r)/tau_FDR
+	D' = (1-D)/tau_D
+	pb' = (pbtilde-pb)/tau_i
+	g' = -g/tau_1
+
+}
+
+: This block defines what happens to the state variables at the moment presynaptic activation
+NET_RECEIVE(weight (umho)) {
+	g = g + weight*Pmax
+	n = n - n*p
+	p = p + a_f*(1-p)
+	tau_r = tau_r - a_FDR*tau_r
+	D = D - a_D*p*n*D
+	pb = pb - a_i*pb
+
+}
+
+
diff --git a/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/vecevent.mod b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/vecevent.mod
new file mode 100644
index 00000000..503dfd2e
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/mechanisms/modfiles/vecevent.mod
@@ -0,0 +1,71 @@
+:  Vector stream of events
+
+NEURON {
+	ARTIFICIAL_CELL VecStim
+}
+
+ASSIGNED {
+	index
+	etime (ms)
+	space
+}
+
+INITIAL {
+	index = 0
+	element()
+	if (index > 0) {
+		net_send(etime - t, 1)
+	}
+}
+
+NET_RECEIVE (w) {
+	if (flag == 1) {
+		net_event(t)
+		element()
+		if (index > 0) {
+			net_send(etime - t, 1)
+		}
+	}
+}
+
+VERBATIM
+extern double* vector_vec();
+extern int vector_capacity();
+extern void* vector_arg();
+ENDVERBATIM
+
+PROCEDURE element() {
+VERBATIM	
+  { void* vv; int i, size; double* px;
+	i = (int)index;
+	if (i >= 0) {
+		vv = *((void**)(&space));
+		if (vv) {
+			size = vector_capacity(vv);
+			px = vector_vec(vv);
+			if (i < size) {
+				etime = px[i];
+				index += 1.;
+			}else{
+				index = -1.;
+			}
+		}else{
+			index = -1.;
+		}
+	}
+  }
+ENDVERBATIM
+}
+
+PROCEDURE play() {
+VERBATIM
+	void** vv;
+	vv = (void**)(&space);
+	*vv = (void*)0;
+	if (ifarg(1)) {
+		*vv = vector_arg(1);
+	}
+ENDVERBATIM
+}
+        
+
diff --git a/docs/tutorial/05_opt_extracellular/components/morphologies/Nr5a1_485507735_morphology.swc b/docs/tutorial/05_opt_extracellular/components/morphologies/Nr5a1_485507735_morphology.swc
new file mode 100644
index 00000000..0db07da9
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/morphologies/Nr5a1_485507735_morphology.swc
@@ -0,0 +1,1793 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): 485307311/Nr5a1-Cre_Ai14-199361.04.02.01_485307311_RD_longeraxon.swc_sorted.swc_Z_T10.swc_sorted.swc.out.swc
+# id,type,x,y,z,r,pid
+1 1 405.0904 453.7104 27.44 4.0515 -1
+2 3 408.1414 451.991 25.7367 0.1144 1
+3 3 409.1047 451.4064 25.7243 0.2822 2
+4 3 409.9009 450.6159 25.682 0.2775 3
+5 3 410.6285 449.8402 25.8139 0.3342 4
+6 3 411.3755 449.0452 26.0763 0.3514 5
+7 3 411.9029 448.2455 26.1364 0.3517 6
+8 3 412.1786 447.1942 26.2849 0.2769 7
+9 3 412.6637 446.3202 26.6423 0.2758 8
+10 3 413.1819 445.302 26.9742 0.2921 9
+11 3 413.699 444.3273 27.2919 0.347 10
+12 3 414.2607 443.4773 27.6683 0.3298 11
+13 3 414.7915 442.4798 27.9294 0.4173 12
+14 3 415.3143 441.6046 28.2097 0.4581 13
+15 3 415.9515 440.7638 28.4936 0.4369 14
+16 3 416.9022 440.1895 28.6751 0.4101 15
+17 3 417.8574 439.6014 28.8408 0.2992 16
+18 3 418.7257 438.867 28.9811 0.277 17
+19 3 419.5609 438.1108 29.1488 0.2599 18
+20 3 420.1672 437.191 29.1967 0.3405 19
+21 3 420.968 436.4085 29.1542 0.4024 20
+22 3 421.7631 435.5917 29.1368 0.37 21
+23 3 422.5696 434.8001 29.1939 0.3381 22
+24 3 423.4768 434.1263 29.3098 0.3709 23
+25 3 424.4126 433.4708 29.4193 0.3285 24
+26 3 425.25 432.7169 29.4669 0.2931 25
+27 3 425.7133 431.6884 29.4896 0.2471 26
+28 3 425.7854 430.5753 29.6198 0.2952 27
+29 3 425.8551 429.4622 29.8301 0.3087 28
+30 3 425.8654 428.3216 30.0412 0.2439 29
+31 3 425.8654 427.1788 30.2408 0.2159 30
+32 3 425.9055 426.0382 30.4254 0.174 31
+33 3 426.1137 424.9216 30.5967 0.163 32
+34 3 426.323 423.8062 30.7353 0.162 33
+35 3 426.3391 423.6186 31.626 0.1144 34
+36 3 426.7875 422.6394 31.9164 0.1413 35
+37 3 427.7347 422.017 32.0152 0.1447 36
+38 3 428.4703 421.1487 32.0902 0.1509 37
+39 3 429.1293 420.2232 32.1423 0.1629 38
+40 3 430.0067 419.5025 32.1734 0.1833 39
+41 3 430.9254 418.8413 32.1852 0.2301 40
+42 3 431.6735 417.9764 32.1793 0.2729 41
+43 3 432.0808 416.9731 32.1709 0.2223 42
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diff --git a/docs/tutorial/05_opt_extracellular/components/morphologies/Pvalb_473862421_morphology.swc b/docs/tutorial/05_opt_extracellular/components/morphologies/Pvalb_473862421_morphology.swc
new file mode 100644
index 00000000..67f4709e
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/morphologies/Pvalb_473862421_morphology.swc
@@ -0,0 +1,1239 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): C:/Users/alexh/Desktop/Pvalb-IRES-Cre_Ai14_IVSCC_-169125.03.01.01_469628681_p.swc_Z_T10.swc_pruned.swc
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diff --git a/docs/tutorial/05_opt_extracellular/components/morphologies/Rorb_486509958_morphology.swc b/docs/tutorial/05_opt_extracellular/components/morphologies/Rorb_486509958_morphology.swc
new file mode 100644
index 00000000..71b60652
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/morphologies/Rorb_486509958_morphology.swc
@@ -0,0 +1,2375 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): M:/BatchProcessing/496744050 - GW/reconstructions-496744050/496744050/mylinker.ano.swc_sorted.swc
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diff --git a/docs/tutorial/05_opt_extracellular/components/morphologies/Scnn1a_485510712_morphology.swc b/docs/tutorial/05_opt_extracellular/components/morphologies/Scnn1a_485510712_morphology.swc
new file mode 100644
index 00000000..2d8d6fd7
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/morphologies/Scnn1a_485510712_morphology.swc
@@ -0,0 +1,2824 @@
+# generated by Vaa3D Plugin sort_neuron_swc
+# source file(s): C:/Users/alexh/Desktop/For Staci/Scnn1a-Tg2-Cre;Ai14-200706.04.02.01_485413595_p_Dendrites.swc_Z_T10.swc
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+2778 3 437.5663 611.8181 42.56 0.193 2777
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+2780 3 438.1978 613.931 42.7602 0.17 2779
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+2783 3 438.0262 617.2292 43.1332 0.1518 2782
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+2788 3 436.6065 622.3795 43.433 0.1867 2787
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+2819 3 426.5598 652.4644 43.7248 0.1398 2818
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+2821 3 425.9444 654.4538 44.3369 0.1144 2820
diff --git a/docs/tutorial/05_opt_extracellular/components/synaptic_models/AMPA_ExcToExc.json b/docs/tutorial/05_opt_extracellular/components/synaptic_models/AMPA_ExcToExc.json
new file mode 100644
index 00000000..c7585403
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/synaptic_models/AMPA_ExcToExc.json
@@ -0,0 +1,6 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 1.0,
+  "tau2": 3.0,
+  "erev": 0.0
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/synaptic_models/AMPA_ExcToInh.json b/docs/tutorial/05_opt_extracellular/components/synaptic_models/AMPA_ExcToInh.json
new file mode 100644
index 00000000..43887996
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/synaptic_models/AMPA_ExcToInh.json
@@ -0,0 +1,6 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 0.1,
+  "tau2": 0.5,
+  "erev": 0.0
+}
diff --git a/docs/tutorial/05_opt_extracellular/components/synaptic_models/GABA_InhToExc.json b/docs/tutorial/05_opt_extracellular/components/synaptic_models/GABA_InhToExc.json
new file mode 100644
index 00000000..702ce9b4
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/synaptic_models/GABA_InhToExc.json
@@ -0,0 +1,7 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 2.7,
+  "tau2": 15.0,
+  "erev": -70.0
+}
+
diff --git a/docs/tutorial/05_opt_extracellular/components/synaptic_models/GABA_InhToInh.json b/docs/tutorial/05_opt_extracellular/components/synaptic_models/GABA_InhToInh.json
new file mode 100644
index 00000000..ed4130ab
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/components/synaptic_models/GABA_InhToInh.json
@@ -0,0 +1,7 @@
+{
+  "level_of_detail": "exp2syn",
+  "tau1": 0.2,
+  "tau2": 8.0,
+  "erev": -70.0
+}
+
diff --git a/docs/tutorial/05_opt_extracellular/config.lfp.json b/docs/tutorial/05_opt_extracellular/config.lfp.json
new file mode 100755
index 00000000..a914a382
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/config.lfp.json
@@ -0,0 +1,74 @@
+{
+  "manifest": {
+    "$BASE_DIR": ".",
+    "$OUTPUT_DIR": "$BASE_DIR/output_lfp",
+    "$NETWORK_DIR": "$BASE_DIR/network_lfp",
+    "$COMPONENTS_DIR": "$BASE_DIR/components"
+  },
+  "target_simulator": "NEURON",
+  "run": {
+    "tstart": 0.0,
+    "tstop": 2000.0,
+    "dt": 0.1,
+    "dL": 20.0,
+    "spike_threshold": -15.0,
+    "nsteps_block": 5000
+  },
+  "conditions": {
+    "celsius": 34.0,
+    "v_init": -80.0
+  },
+  "inputs": {
+    "virt_exc_spikes": {
+      "input_type": "spikes",
+      "module": "sonata",
+      "input_file": "$BASE_DIR/inputs/virt_spikes.h5",
+      "node_set": "thalamus"
+    }
+  },
+  "components": {
+    "filter_models_dir": "$COMPONENTS_DIR/filter_models",
+    "biophysical_neuron_models_dir": "$COMPONENTS_DIR/biophysical_neuron_models",
+    "mechanisms_dir": "$COMPONENTS_DIR/mechanisms",
+    "synaptic_models_dir": "$COMPONENTS_DIR/synaptic_models",
+    "morphologies_dir": "$COMPONENTS_DIR/morphologies",
+    "point_neuron_models_dir": "$COMPONENTS_DIR/point_neuron_models"
+  },
+  "output": {
+    "log_file": "log.txt",
+    "output_dir": "$OUTPUT_DIR",
+    "spikes_file": "spikes.h5",
+    "spikes_file_csv": "spikes.csv"
+  },
+  "reports": {
+    "cortical_electrode": {
+      "cells": "all",
+      "variable_name": "v",
+      "module": "extracellular",
+      "electrode_positions": "$COMPONENTS_DIR/electrodes/linear_electrode.csv",
+      "electrode_channels": "all"
+    }
+  },
+  "networks": {
+    "nodes": [
+      {
+        "nodes_file": "$NETWORK_DIR/cortcol_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/cortcol_node_types.csv"
+      },
+      {
+        "nodes_file": "$NETWORK_DIR/thalamus_nodes.h5",
+        "node_types_file": "$NETWORK_DIR/thalamus_node_types.csv"
+      }
+    ],
+    "edges": [
+      {
+        "edge_types_file": "$NETWORK_DIR/cortcol_cortcol_edge_types.csv",
+        "edges_file": "$NETWORK_DIR/cortcol_cortcol_edges.h5"
+      },
+      {
+        "edge_types_file": "$NETWORK_DIR/thalamus_cortcol_edge_types.csv",
+        "edges_file": "$NETWORK_DIR/thalamus_cortcol_edges.h5"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/icsd_scripts/demo_icsd.py b/docs/tutorial/05_opt_extracellular/icsd_scripts/demo_icsd.py
new file mode 100755
index 00000000..ba4e7f2e
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/icsd_scripts/demo_icsd.py
@@ -0,0 +1,234 @@
+# -*- coding: utf-8 -*-
+'''iCSD toolbox demonstration script'''
+import matplotlib.pyplot as plt
+import numpy as np
+import icsd
+from scipy import io
+import neo
+import quantities as pq
+
+#patch quantities with the SI unit Siemens if it does not exist
+for symbol, prefix, definition, u_symbol in zip(
+    ['siemens', 'S', 'mS', 'uS', 'nS', 'pS'],
+    ['', '', 'milli', 'micro', 'nano', 'pico'],
+    [pq.A/pq.V, pq.A/pq.V, 'S', 'mS', 'uS', 'nS'],
+    [None, None, None, None, u'µS', None]):
+    if type(definition) is str:
+        definition = lastdefinition / 1000
+    if not hasattr(pq, symbol):
+        setattr(pq, symbol, pq.UnitQuantity(
+            prefix + 'siemens',
+            definition,
+            symbol=symbol,
+            u_symbol=u_symbol))
+    lastdefinition = definition
+
+#loading test data
+test_data = io.loadmat('test_data.mat')
+
+#prepare lfp data for use, by changing the units to SI and append quantities,
+#along with electrode geometry, conductivities and assumed source geometry
+lfp_data = test_data['pot1'] * 1E-6 * pq.V        # [uV] -> [V]
+z_data = np.linspace(100E-6, 2300E-6, 23) * pq.m  # [m]
+diam = 500E-6 * pq.m                              # [m]
+h = 100E-6 * pq.m                                 # [m]
+sigma = 0.3 * pq.S / pq.m                         # [S/m] or [1/(ohm*m)]
+sigma_top = 0.3 * pq.S / pq.m                     # [S/m] or [1/(ohm*m)]
+
+# Input dictionaries for each method
+delta_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'diam' : diam,          # source diameter
+    'sigma' : sigma,        # extracellular conductivity
+    'sigma_top' : sigma,    # conductivity on top of cortex
+    'f_type' : 'gaussian',  # gaussian filter
+    'f_order' : (3, 1),     # 3-point filter, sigma = 1.
+}
+step_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'diam' : diam,
+    'h' : h,                # source thickness
+    'sigma' : sigma,
+    'sigma_top' : sigma,
+    'tol' : 1E-12,          # Tolerance in numerical integration
+    'f_type' : 'gaussian',
+    'f_order' : (3, 1),
+}
+spline_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'diam' : diam,
+    'sigma' : sigma,
+    'sigma_top' : sigma,
+    'num_steps' : 201,      # Spatial CSD upsampling to N steps
+    'tol' : 1E-12,
+    'f_type' : 'gaussian',
+    'f_order' : (20, 5),
+}
+std_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'sigma' : sigma,
+    'f_type' : 'gaussian',
+    'f_order' : (3, 1),
+}
+
+
+#Create the different CSD-method class instances. We use the class methods
+#get_csd() and filter_csd() below to get the raw and spatially filtered
+#versions of the current-source density estimates.
+csd_dict = dict(
+    delta_icsd = icsd.DeltaiCSD(**delta_input),
+    step_icsd = icsd.StepiCSD(**step_input),
+    spline_icsd = icsd.SplineiCSD(**spline_input),
+    std_csd = icsd.StandardCSD(**std_input), 
+)
+
+#plot
+for method, csd_obj in list(csd_dict.items()):
+    fig, axes = plt.subplots(3,1, figsize=(8,8))
+    
+    #plot LFP signal
+    ax = axes[0]
+    im = ax.imshow(np.array(lfp_data), origin='upper', vmin=-abs(lfp_data).max(), \
+              vmax=abs(lfp_data).max(), cmap='jet_r', interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('LFP (%s)' % lfp_data.dimensionality.string)
+    ax.set_xticklabels([])
+    ax.set_title('LFP')
+    ax.set_ylabel('ch #')
+
+    #plot raw csd estimate
+    csd = csd_obj.get_csd()
+    ax = axes[1]
+    im = ax.imshow(np.array(csd), origin='upper', vmin=-abs(csd).max(), \
+          vmax=abs(csd).max(), cmap='jet_r', interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    ax.set_title(csd_obj.name)
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('CSD (%s)' % csd.dimensionality.string)
+    ax.set_xticklabels([])
+    ax.set_ylabel('ch #')
+    
+    #plot spatially filtered csd estimate
+    ax = axes[2]
+    csd = csd_obj.filter_csd(csd)
+    im = ax.imshow(np.array(csd), origin='upper', vmin=-abs(csd).max(), \
+          vmax=abs(csd).max(), cmap='jet_r', interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    ax.set_title(csd_obj.name + ', filtered')
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('CSD (%s)' % csd.dimensionality.string)
+    ax.set_ylabel('ch #')
+    ax.set_xlabel('timestep')
+
+
+# ############################################################################ #
+# Demonstrate icsd.estimate_csd() function on neo.AnalogSignalArray object     #
+# ############################################################################ #
+lfp_data = neo.AnalogSignalArray(lfp_data.T, sampling_rate=2.*pq.kHz)
+
+# Input dictionaries for each method
+delta_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'method' : 'delta',
+    'diam' : diam,          # source diameter
+    'sigma' : sigma,        # extracellular conductivity
+    'sigma_top' : sigma,    # conductivity on top of cortex
+    'f_type' : 'gaussian',  # gaussian filter
+    'f_order' : (3, 1),     # 3-point filter, sigma = 1.
+}
+step_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'method' : 'step',
+    'diam' : diam,
+    'h' : h,                # source thickness
+    'sigma' : sigma,
+    'sigma_top' : sigma,
+    'tol' : 1E-12,          # Tolerance in numerical integration
+    'f_type' : 'gaussian',
+    'f_order' : (3, 1),
+}
+spline_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'method' : 'spline',
+    'diam' : diam,
+    'sigma' : sigma,
+    'sigma_top' : sigma,
+    'num_steps' : 201,      # Spatial CSD upsampling to N steps
+    'tol' : 1E-12,
+    'f_type' : 'gaussian',
+    'f_order' : (20, 5),
+}
+std_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'method' : 'standard',
+    'sigma' : sigma,
+    'f_type' : 'gaussian',
+    'f_order' : (3, 1),
+}
+
+#compute CSD and filtered CSD estimates. Note that the returned argument of the
+#function is a tuple of neo.AnalogSignalArray objects (csd, csd_filtered)
+csd_dict = dict(
+    delta_icsd = icsd.estimate_csd(**delta_input),
+    step_icsd = icsd.estimate_csd(**step_input),
+    spline_icsd = icsd.estimate_csd(**spline_input),
+    std_csd = icsd.estimate_csd(**std_input), 
+)
+
+#plot
+for method, csd_obj in list(csd_dict.items()):
+    fig, axes = plt.subplots(3,1, figsize=(8,8))
+    
+    #plot LFP signal
+    ax = axes[0]
+    im = ax.imshow(lfp_data.magnitude.T, origin='upper',
+                   vmin=-abs(lfp_data.magnitude).max(), 
+                   vmax=abs(lfp_data.magnitude).max(), cmap='jet_r',
+                   interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('LFP (%s)' % lfp_data.dimensionality.string)
+    ax.set_xticklabels([])
+    ax.set_title('LFP')
+    ax.set_ylabel('ch #')
+
+    #plot raw csd estimate
+    csd = csd_obj[0]
+    ax = axes[1]
+    im = ax.imshow(csd.magnitude.T, origin='upper',
+                   vmin=-abs(csd.magnitude).max(), 
+                   vmax=abs(csd.magnitude).max(), cmap='jet_r',
+                   interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    ax.set_title(method)
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('CSD (%s)' % csd.dimensionality.string)
+    ax.set_xticklabels([])
+    ax.set_ylabel('ch #')
+    
+    #plot spatially filtered csd estimate
+    ax = axes[2]
+    csd = csd_obj[1]
+    im = ax.imshow(csd.magnitude.T, origin='upper',
+                   vmin=-abs(csd.magnitude).max(), 
+                   vmax=abs(csd.magnitude).max(), cmap='jet_r',
+                   interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    ax.set_title(method + ', filtered')
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('CSD (%s)' % csd.dimensionality.string)
+    ax.set_ylabel('ch #')
+    ax.set_xlabel('timestep')
+
+
+
+plt.show()
diff --git a/docs/tutorial/05_opt_extracellular/icsd_scripts/icsd.py b/docs/tutorial/05_opt_extracellular/icsd_scripts/icsd.py
new file mode 100755
index 00000000..6d634e80
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/icsd_scripts/icsd.py
@@ -0,0 +1,1331 @@
+# -*- coding: utf-8 -*-
+"""
+py-iCSD toolbox!
+Translation of the core functionality of the CSDplotter MATLAB package
+to python.
+
+The methods were originally developed by Klas H. Pettersen, as described in:
+Klas H. Pettersen, Anna Devor, Istvan Ulbert, Anders M. Dale, Gaute T. Einevoll,
+Current-source density estimation based on inversion of electrostatic forward
+solution: Effects of finite extent of neuronal activity and conductivity
+discontinuities, Journal of Neuroscience Methods, Volume 154, Issues 1-2,
+30 June 2006, Pages 116-133, ISSN 0165-0270,
+http://dx.doi.org/10.1016/j.jneumeth.2005.12.005.
+(http://www.sciencedirect.com/science/article/pii/S0165027005004541)
+
+The method themselves are implemented as callable subclasses of the base
+CSD class object, which sets some common attributes,
+and a basic function for calculating the iCSD, and a generic spatial filter
+implementation.
+
+The raw- and filtered CSD estimates are returned as Quantity arrays.
+
+Requires pylab environment to work, i.e numpy+scipy+matplotlib, with the
+addition of quantities (http://pythonhosted.org/quantities) and
+neo (https://pythonhosted.org/neo)-
+
+Original implementation from CSDplotter-0.1.1
+(http://software.incf.org/software/csdplotter) by Klas. H. Pettersen 2005.
+
+Written by:
+- Espen.Hagen@umb.no, 2010,
+- e.hagen@fz-juelich.de, 2015-2016
+
+
+Example
+-------
+#!/usr/env/python
+
+import matplotlib.pyplot as plt
+import numpy as np
+import icsd
+from scipy import io
+import quantities as pq
+
+#loading test data
+test_data = io.loadmat('test_data.mat')
+
+#prepare lfp data for use, by changing the units to SI and append quantities,
+#along with electrode geometry and conductivities
+lfp_data = test_data['pot1'] * 1E-6 * pq.V        # [uV] -> [V]
+z_data = np.linspace(100E-6, 2300E-6, 23) * pq.m  # [m]
+diam = 500E-6 * pq.m                              # [m]
+h = 100E-6 * pq.m                                 # [m]
+sigma = 0.3 * pq.S / pq.m                         # [S/m] or [1/(ohm*m)]
+sigma_top = 0.3 * pq.S / pq.m                     # [S/m] or [1/(ohm*m)]
+
+# Input dictionaries for each method
+delta_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'diam' : diam,          # source diameter
+    'sigma' : sigma,        # extracellular conductivity
+    'sigma_top' : sigma,    # conductivity on top of cortex
+    'f_type' : 'gaussian',  # gaussian filter
+    'f_order' : (3, 1),     # 3-point filter, sigma = 1.
+}
+step_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'diam' : diam,
+    'h' : h,
+    'sigma' : sigma,
+    'sigma_top' : sigma,
+    'tol' : 1E-12,          # Tolerance in numerical integration
+    'f_type' : 'gaussian',
+    'f_order' : (3, 1),
+}
+spline_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'diam' : diam,
+    'sigma' : sigma,
+    'sigma_top' : sigma,
+    'num_steps' : 201,      # Spatial CSD upsampling to N steps
+    'tol' : 1E-12,
+    'f_type' : 'gaussian',
+    'f_order' : (20, 5),
+}
+std_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'sigma' : sigma,
+    'f_type' : 'gaussian',
+    'f_order' : (3, 1),
+}
+
+
+#Create the different CSD-method class instances. We use the class methods
+#get_csd() and filter_csd() below to get the raw and spatially filtered
+#versions of the current-source density estimates.
+csd_dict = dict(
+    delta_icsd = icsd.DeltaiCSD(**delta_input),
+    step_icsd = icsd.StepiCSD(**step_input),
+    spline_icsd = icsd.SplineiCSD(**spline_input),
+    std_csd = icsd.StandardCSD(**std_input),
+)
+
+#plot
+for method, csd_obj in csd_dict.items():
+    fig, axes = plt.subplots(3,1, figsize=(8,8))
+
+    #plot LFP signal
+    ax = axes[0]
+    im = ax.imshow(np.array(lfp_data), origin='upper', vmin=-abs(lfp_data).max(), \
+              vmax=abs(lfp_data).max(), cmap='jet_r', interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('LFP (%s)' % lfp_data.dimensionality.string)
+    ax.set_xticklabels([])
+    ax.set_title('LFP')
+    ax.set_ylabel('ch #')
+
+    #plot raw csd estimate
+    csd = csd_obj.get_csd()
+    ax = axes[1]
+    im = ax.imshow(np.array(csd), origin='upper', vmin=-abs(csd).max(), \
+          vmax=abs(csd).max(), cmap='jet_r', interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    ax.set_title(csd_obj.name)
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('CSD (%s)' % csd.dimensionality.string)
+    ax.set_xticklabels([])
+    ax.set_ylabel('ch #')
+
+    #plot spatially filtered csd estimate
+    ax = axes[2]
+    csd = csd_obj.filter_csd(csd)
+    im = ax.imshow(np.array(csd), origin='upper', vmin=-abs(csd).max(), \
+          vmax=abs(csd).max(), cmap='jet_r', interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    ax.set_title(csd_obj.name + ', filtered')
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('CSD (%s)' % csd.dimensionality.string)
+    ax.set_ylabel('ch #')
+    ax.set_xlabel('timestep')
+
+plt.show()
+
+
+Example
+-------
+#!/usr/env/python
+
+import matplotlib.pyplot as plt
+import numpy as np
+import icsd
+from scipy import io
+import neo
+import quantities as pq
+
+#loading test data
+test_data = io.loadmat('test_data.mat')
+
+#prepare lfp data for use, by changing the units to SI and append quantities,
+#along with electrode geometry and conductivities
+lfp_data = neo.AnalogSignalArray(test_data['pot1'].T * 1E-6 * pq.V,
+                                 sampling_rate=2.*pq.kHz)
+z_data = np.linspace(100E-6, 2300E-6, 23) * pq.m  # [m]
+diam = 500E-6 * pq.m                              # [m]
+h = 100E-6 * pq.m                                 # [m]
+sigma = 0.3 * pq.S / pq.m                         # [S/m] or [1/(ohm*m)]
+sigma_top = 0.3 * pq.S / pq.m                     # [S/m] or [1/(ohm*m)]
+
+# Input dictionaries for each method
+delta_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'method' : 'delta',
+    'diam' : diam,        # source diameter
+    'sigma' : sigma,           # extracellular conductivity
+    'sigma_top' : sigma,       # conductivity on top of cortex
+    'f_type' : 'gaussian',  # gaussian filter
+    'f_order' : (3, 1),     # 3-point filter, sigma = 1.
+}
+step_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'method' : 'step',
+    'diam' : diam,
+    'h' : h,
+    'sigma' : sigma,
+    'sigma_top' : sigma,
+    'tol' : 1E-12,          # Tolerance in numerical integration
+    'f_type' : 'gaussian',
+    'f_order' : (3, 1),
+}
+spline_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'method' : 'spline',
+    'diam' : diam,
+    'sigma' : sigma,
+    'sigma_top' : sigma,
+    'num_steps' : 201,      # Spatial CSD upsampling to N steps
+    'tol' : 1E-12,
+    'f_type' : 'gaussian',
+    'f_order' : (20, 5),
+}
+std_input = {
+    'lfp' : lfp_data,
+    'coord_electrode' : z_data,
+    'method' : 'standard',
+    'sigma' : sigma,
+    'f_type' : 'gaussian',
+    'f_order' : (3, 1),
+}
+
+#compute CSD and filtered CSD estimates. Note that the returned argument of the
+#function is a tuple of neo.AnalogSignalArray objects (csd, csd_filtered)
+csd_dict = dict(
+    delta_icsd = icsd.estimate_csd(**delta_input),
+    step_icsd = icsd.estimate_csd(**step_input),
+    spline_icsd = icsd.estimate_csd(**spline_input),
+    std_csd = icsd.estimate_csd(**std_input),
+)
+
+#plot
+for method, csd_obj in csd_dict.items():
+    fig, axes = plt.subplots(3,1, figsize=(8,8))
+
+    #plot LFP signal
+    ax = axes[0]
+    im = ax.imshow(lfp_data.magnitude.T, origin='upper',
+                   vmin=-abs(lfp_data.magnitude).max(),
+                   vmax=abs(lfp_data.magnitude).max(), cmap='jet_r',
+                   interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('LFP (%s)' % lfp_data.dimensionality.string)
+    ax.set_xticklabels([])
+    ax.set_title('LFP')
+    ax.set_ylabel('ch #')
+
+    #plot raw csd estimate
+    csd = csd_obj[0]
+    ax = axes[1]
+    im = ax.imshow(csd.magnitude.T, origin='upper',
+                   vmin=-abs(csd.magnitude).max(),
+                   vmax=abs(csd.magnitude).max(), cmap='jet_r',
+                   interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    ax.set_title(method)
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('CSD (%s)' % csd.dimensionality.string)
+    ax.set_xticklabels([])
+    ax.set_ylabel('ch #')
+
+    #plot spatially filtered csd estimate
+    ax = axes[2]
+    csd = csd_obj[1]
+    im = ax.imshow(csd.magnitude.T, origin='upper',
+                   vmin=-abs(csd.magnitude).max(),
+                   vmax=abs(csd.magnitude).max(), cmap='jet_r',
+                   interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    ax.set_title(method + ', filtered')
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('CSD (%s)' % csd.dimensionality.string)
+    ax.set_ylabel('ch #')
+    ax.set_xlabel('timestep')
+
+plt.show()
+
+
+
+"""
+
+import numpy as np
+import scipy.integrate as si
+import scipy.signal as ss
+import quantities as pq
+import neo
+
+
+# patch quantities with the SI unit Siemens if it does not exist
+for symbol, prefix, definition, u_symbol in zip(
+    ["siemens", "S", "mS", "uS", "nS", "pS"],
+    ["", "", "milli", "micro", "nano", "pico"],
+    [pq.A / pq.V, pq.A / pq.V, "S", "mS", "uS", "nS"],
+    [None, None, None, None, "µS", None],
+):
+    if type(definition) is str:
+        definition = lastdefinition / 1000
+    if not hasattr(pq, symbol):
+        setattr(
+            pq,
+            symbol,
+            pq.UnitQuantity(
+                prefix + "siemens", definition, symbol=symbol, u_symbol=u_symbol
+            ),
+        )
+    lastdefinition = definition
+
+
+class CSD(object):
+    """Base iCSD class"""
+
+    def __init__(self, lfp, f_type="gaussian", f_order=(3, 1)):
+        """Initialize parent class iCSD
+
+        Parameters
+        ----------
+        lfp : np.ndarray * quantity.Quantity
+            LFP signal of shape (# channels, # time steps)
+        f_type : str
+            type of spatial filter, must be a scipy.signal filter design method
+        f_order : list
+            settings for spatial filter, arg passed to  filter design function
+        """
+        self.name = "CSD estimate parent class"
+        self.lfp = lfp
+        self.f_matrix = np.eye(lfp.shape[0]) * pq.m**3 / pq.S
+        self.f_type = f_type
+        self.f_order = f_order
+
+    def get_csd(
+        self,
+    ):
+        """
+        Perform the CSD estimate from the LFP and forward matrix F, i.e as
+        CSD=F**-1*LFP
+
+        Arguments
+        ---------
+
+        Returns
+        -------
+        csd : np.ndarray * quantity.Quantity
+            Array with the csd estimate
+        """
+        csd = np.linalg.solve(self.f_matrix, self.lfp)
+
+        return csd * (self.f_matrix.units**-1 * self.lfp.units).simplified
+
+    def filter_csd(self, csd, filterfunction="convolve"):
+        """
+        Spatial filtering of the CSD estimate, using an N-point filter
+
+        Arguments
+        ---------
+        csd : np.ndarrray * quantity.Quantity
+            Array with the csd estimate
+        filterfunction : str
+            'filtfilt' or 'convolve'. Apply spatial filter using
+            scipy.signal.filtfilt or scipy.signal.convolve.
+        """
+        if self.f_type == "gaussian":
+            try:
+                assert len(self.f_order) == 2
+            except AssertionError as ae:
+                raise ae("filter order f_order must be a tuple of length 2")
+        else:
+            try:
+                assert self.f_order > 0 and isinstance(self.f_order, int)
+            except AssertionError as ae:
+                raise ae("Filter order must be int > 0!")
+        try:
+            assert filterfunction in ["filtfilt", "convolve"]
+        except AssertionError as ae:
+            raise ae("{} not equal to 'filtfilt' or 'convolve'".format(filterfunction))
+
+        if self.f_type == "boxcar":
+            num = ss.windows.boxcar(self.f_order)
+            denom = np.array([num.sum()])
+        elif self.f_type == "hamming":
+            num = ss.windows.hamming(self.f_order)
+            denom = np.array([num.sum()])
+        elif self.f_type == "triangular":
+            num = ss.windows.triang(self.f_order)
+            denom = np.array([num.sum()])
+        elif self.f_type == "gaussian":
+            num = ss.windows.gaussian(self.f_order[0], self.f_order[1])
+            denom = np.array([num.sum()])
+        elif self.f_type == "identity":
+            num = np.array([1.0])
+            denom = np.array([1.0])
+        else:
+            print("%s Wrong filter type!" % self.f_type)
+            raise
+
+        num_string = "[ "
+        for i in num:
+            num_string = num_string + "%.3f " % i
+        num_string = num_string + "]"
+        denom_string = "[ "
+        for i in denom:
+            denom_string = denom_string + "%.3f " % i
+        denom_string = denom_string + "]"
+
+        print(
+            (
+                "discrete filter coefficients: \nb = {}, \na = {}".format(
+                    num_string, denom_string
+                )
+            )
+        )
+
+        if filterfunction == "filtfilt":
+            return ss.filtfilt(num, denom, csd, axis=0) * csd.units
+        elif filterfunction == "convolve":
+            csdf = csd / csd.units
+            for i in range(csdf.shape[1]):
+                csdf[:, i] = ss.convolve(csdf[:, i], num / denom.sum(), "same")
+            return csdf * csd.units
+
+
+class StandardCSD(CSD):
+    """
+    Standard CSD method with and without Vaknin electrodes
+    """
+
+    def __init__(
+        self,
+        lfp,
+        coord_electrode=np.linspace(0, 1400e-6, 15) * pq.m,
+        sigma=0.3 * pq.S / pq.m,
+        vaknin_el=True,
+        f_type="gaussian",
+        f_order=(3, 1),
+    ):
+        """
+        Initialize standard CSD method class with and without Vaknin electrodes.
+
+        Parameters
+        ----------
+        lfp : np.ndarray * quantity.Quantity
+            LFP signal of shape (# channels, # time steps) in units of V
+        coord_electrode : np.ndarray * quantity.Quantity
+            depth of evenly spaced electrode contact points of shape
+            (# contacts, ) in units of m, must be monotonously increasing
+        sigma : float * quantity.Quantity
+            conductivity of tissue in units of S/m or 1/(ohm*m)
+        vaknin_el : bool
+            flag for using method of Vaknin to endpoint electrodes
+        f_type : str
+            type of spatial filter, must be a scipy.signal filter design method
+        f_order : list
+            settings for spatial filter, arg passed to  filter design function
+        """
+        CSD.__init__(self, lfp, f_type, f_order)
+
+        self.name = "Standard CSD method"
+        self.coord_electrode = coord_electrode
+        self.sigma = sigma
+        self.vaknin_el = vaknin_el
+
+        try:
+            assert np.all(np.diff(np.diff(coord_electrode))) == 0
+        except AssertionError as ae:
+            print("coord_electrode not monotonously varying")
+            raise ae
+
+        if vaknin_el:
+            # extend array of lfps by duplicating potential at endpoint contacts
+            if lfp.ndim == 1:
+                self.lfp = np.empty((lfp.shape[0] + 2,)) * lfp.units
+            else:
+                self.lfp = np.empty((lfp.shape[0] + 2, lfp.shape[1])) * lfp.units
+            self.lfp[0,] = lfp[0,]
+            self.lfp[1:-1,] = lfp
+            self.lfp[-1,] = lfp[-1,]
+        else:
+            self.lfp = lfp
+
+        self.f_inv_matrix = self.get_f_inv_matrix()
+
+    def get_f_inv_matrix(self):
+        """Calculate the inverse F-matrix for the standard CSD method"""
+        h_val = abs(np.diff(self.coord_electrode)[0])
+
+        f_inv = -np.eye(self.lfp.shape[0])
+
+        # Inner matrix elements  is just the discrete laplacian coefficients
+        for j in range(1, f_inv.shape[0] - 1):
+            f_inv[j, j - 1 : j + 2] = np.array([1.0, -2.0, 1.0])
+
+        return f_inv * -self.sigma / h_val
+
+    def get_csd(self):
+        """
+        Perform the iCSD calculation, i.e: iCSD=F_inv*LFP
+
+        Returns
+        -------
+        csd : np.ndarray * quantity.Quantity
+            Array with the csd estimate
+        """
+        csd = np.dot(self.f_inv_matrix, self.lfp)[1:-1,]
+        # `np.dot()` does not return correct units, so the units of `csd` must
+        # be assigned manually
+        csd_units = (self.f_inv_matrix.units * self.lfp.units).simplified
+        csd = csd.magnitude * csd_units
+
+        return csd
+
+
+class DeltaiCSD(CSD):
+    """
+    delta-iCSD method
+    """
+
+    def __init__(
+        self,
+        lfp,
+        coord_electrode=np.linspace(0, 1400e-6, 15) * pq.m,
+        diam=500e-6 * pq.m,
+        sigma=0.3 * pq.S / pq.m,
+        sigma_top=0.3 * pq.S / pq.m,
+        f_type="gaussian",
+        f_order=(3, 1),
+    ):
+        """
+        Initialize the delta-iCSD method class object
+
+        Parameters
+        ----------
+        lfp : np.ndarray * quantity.Quantity
+            LFP signal of shape (# channels, # time steps) in units of V
+        coord_electrode : np.ndarray * quantity.Quantity
+            depth of evenly spaced electrode contact points of shape
+            (# contacts, ) in units of m
+        diam : float * quantity.Quantity
+            diamater of the assumed circular planar current sources centered
+            at each contact
+        sigma : float * quantity.Quantity
+            conductivity of tissue in units of S/m or 1/(ohm*m)
+        sigma_top : float * quantity.Quantity
+            conductivity on top of tissue in units of S/m or 1/(ohm*m)
+        f_type : str
+            type of spatial filter, must be a scipy.signal filter design method
+        f_order : list
+            settings for spatial filter, arg passed to  filter design function
+
+        """
+        CSD.__init__(self, lfp)
+
+        try:
+            assert diam.units == coord_electrode.units
+        except AssertionError as ae:
+            print(
+                "units of coord_electrode ({}) and diam ({}) differ".format(
+                    coord_electrode.units, diam.units
+                )
+            )
+            raise ae
+
+        try:
+            assert np.all(np.diff(coord_electrode) > 0)
+        except AssertionError as ae:
+            print("values of coord_electrode not continously increasing")
+            raise ae
+
+        try:
+            assert diam.size == 1 or diam.size == coord_electrode.size
+            if diam.size == coord_electrode.size:
+                assert np.all(diam > 0 * diam.units)
+            else:
+                assert diam > 0 * diam.units
+        except AssertionError as ae:
+            print("diam must be positive scalar or of same shape as coord_electrode")
+            raise ae
+        if diam.size == 1:
+            diam = np.ones(coord_electrode.size) * diam
+
+        self.name = "delta-iCSD method"
+        self.coord_electrode = coord_electrode
+        self.diam = diam
+        self.sigma = sigma
+        self.sigma_top = sigma_top
+        self.f_type = f_type
+        self.f_order = f_order
+
+        # initialize F- and iCSD-matrices
+        self.f_matrix = np.empty((self.coord_electrode.size, self.coord_electrode.size))
+
+        self.f_matrix = self.get_f_matrix()
+
+    def get_f_matrix(self):
+        """Calculate the F-matrix"""
+        f_matrix = (
+            np.empty((self.coord_electrode.size, self.coord_electrode.size))
+            * self.coord_electrode.units
+        )
+        for j in range(self.coord_electrode.size):
+            for i in range(self.coord_electrode.size):
+                f_matrix[j, i] = (
+                    np.sqrt(
+                        (self.coord_electrode[j] - self.coord_electrode[i]) ** 2
+                        + (self.diam[j] / 2) ** 2
+                    )
+                    - abs(self.coord_electrode[j] - self.coord_electrode[i])
+                ) + (self.sigma - self.sigma_top) / (self.sigma + self.sigma_top) * (
+                    np.sqrt(
+                        (self.coord_electrode[j] + self.coord_electrode[i]) ** 2
+                        + (self.diam[j] / 2) ** 2
+                    )
+                    - abs(self.coord_electrode[j] + self.coord_electrode[i])
+                )
+
+        f_matrix /= 2 * self.sigma
+        return f_matrix
+
+
+class StepiCSD(CSD):
+    """step-iCSD method"""
+
+    def __init__(
+        self,
+        lfp,
+        coord_electrode=np.linspace(0, 1400e-6, 15) * pq.m,
+        diam=500e-6 * pq.m,
+        h=np.ones(15) * 100e-6 * pq.m,
+        sigma=0.3 * pq.S / pq.m,
+        sigma_top=0.3 * pq.S / pq.m,
+        tol=1e-6,
+        f_type="gaussian",
+        f_order=(3, 1),
+    ):
+        """
+        Initializing step-iCSD method class object
+
+        Parameters
+        ----------
+        lfp : np.ndarray * quantity.Quantity
+            LFP signal of shape (# channels, # time steps) in units of V
+        coord_electrode : np.ndarray * quantity.Quantity
+            depth of evenly spaced electrode contact points of shape
+            (# contacts, ) in units of m
+        diam : float or np.ndarray * quantity.Quantity
+            diameter(s) of the assumed circular planar current sources centered
+            at each contact
+        h : float or np.ndarray * quantity.Quantity
+            assumed thickness of the source cylinders at all or each contact
+        sigma : float * quantity.Quantity
+            conductivity of tissue in units of S/m or 1/(ohm*m)
+        sigma_top : float * quantity.Quantity
+            conductivity on top of tissue in units of S/m or 1/(ohm*m)
+        tol : float
+            tolerance of numerical integration
+        f_type : str
+            type of spatial filter, must be a scipy.signal filter design method
+        f_order : list
+            settings for spatial filter, arg passed to  filter design function
+
+        """
+        CSD.__init__(self, lfp, f_type, f_order)
+
+        try:
+            assert diam.units == coord_electrode.units
+        except AssertionError as ae:
+            print(
+                "units of coord_electrode ({}) and diam ({}) differ".format(
+                    coord_electrode.units, diam.units
+                )
+            )
+            raise ae
+        try:
+            assert np.all(np.diff(coord_electrode) > 0)
+        except AssertionError as ae:
+            print("values of coord_electrode not continously increasing")
+            raise ae
+
+        try:
+            assert diam.size == 1 or diam.size == coord_electrode.size
+            if diam.size == coord_electrode.size:
+                assert np.all(diam > 0 * diam.units)
+            else:
+                assert diam > 0 * diam.units
+        except AssertionError as ae:
+            print("diam must be positive scalar or of same shape as coord_electrode")
+            raise ae
+        if diam.size == 1:
+            diam = np.ones(coord_electrode.size) * diam
+
+        try:
+            assert h.size == 1 or h.size == coord_electrode.size
+            if h.size == coord_electrode.size:
+                assert np.all(h > 0 * h.units)
+        except AssertionError as ae:
+            print("h must be scalar or of same shape as coord_electrode")
+            raise ae
+        if h.size == 1:
+            h = np.ones(coord_electrode.size) * h
+
+        self.name = "step-iCSD method"
+        self.coord_electrode = coord_electrode
+        self.diam = diam
+        self.h = h
+        self.sigma = sigma
+        self.sigma_top = sigma_top
+        self.tol = tol
+
+        # compute forward-solution matrix
+        self.f_matrix = self.get_f_matrix()
+
+    def get_f_matrix(self):
+        """Calculate F-matrix for step iCSD method"""
+        el_len = self.coord_electrode.size
+        f_matrix = np.zeros((el_len, el_len))
+        for j in range(el_len):
+            for i in range(el_len):
+                lower_int = self.coord_electrode[i] - self.h[j] / 2
+                if lower_int < 0:
+                    lower_int = self.h[j].units
+                upper_int = self.coord_electrode[i] + self.h[j] / 2
+
+                # components of f_matrix object
+                f_cyl0 = si.quad(
+                    self._f_cylinder,
+                    a=lower_int,
+                    b=upper_int,
+                    args=(
+                        float(self.coord_electrode[j]),
+                        float(self.diam[j]),
+                        float(self.sigma),
+                    ),
+                    epsabs=self.tol,
+                )[0]
+                f_cyl1 = si.quad(
+                    self._f_cylinder,
+                    a=lower_int,
+                    b=upper_int,
+                    args=(
+                        -float(self.coord_electrode[j]),
+                        float(self.diam[j]),
+                        float(self.sigma),
+                    ),
+                    epsabs=self.tol,
+                )[0]
+
+                # method of images coefficient
+                mom = (self.sigma - self.sigma_top) / (self.sigma + self.sigma_top)
+
+                f_matrix[j, i] = f_cyl0 + mom * f_cyl1
+
+        # assume si.quad trash the units
+        return f_matrix * self.h.units**2 / self.sigma.units
+
+    def _f_cylinder(self, zeta, z_val, diam, sigma):
+        """function used by class method"""
+        f_cyl = (
+            1.0
+            / (2.0 * sigma)
+            * (np.sqrt((diam / 2) ** 2 + ((z_val - zeta)) ** 2) - abs(z_val - zeta))
+        )
+        return f_cyl
+
+
+class SplineiCSD(CSD):
+    """spline iCSD method"""
+
+    def __init__(
+        self,
+        lfp,
+        coord_electrode=np.linspace(0, 1400e-6, 15) * pq.m,
+        diam=500e-6 * pq.m,
+        sigma=0.3 * pq.S / pq.m,
+        sigma_top=0.3 * pq.S / pq.m,
+        tol=1e-6,
+        f_type="gaussian",
+        f_order=(3, 1),
+        num_steps=200,
+    ):
+        """
+        Initializing spline-iCSD method class object
+
+        Parameters
+        ----------
+        lfp : np.ndarray * quantity.Quantity
+            LFP signal of shape (# channels, # time steps) in units of V
+        coord_electrode : np.ndarray * quantity.Quantity
+            depth of evenly spaced electrode contact points of shape
+            (# contacts, ) in units of m
+        diam : float * quantity.Quantity
+            diamater of the assumed circular planar current sources centered
+            at each contact
+        sigma : float * quantity.Quantity
+            conductivity of tissue in units of S/m or 1/(ohm*m)
+        sigma_top : float * quantity.Quantity
+            conductivity on top of tissue in units of S/m or 1/(ohm*m)
+        tol : float
+            tolerance of numerical integration
+        f_type : str
+            type of spatial filter, must be a scipy.signal filter design method
+        f_order : list
+            settings for spatial filter, arg passed to  filter design function
+        num_steps : int
+            number of data points for the spatially upsampled LFP/CSD data
+
+        """
+        CSD.__init__(self, lfp, f_type, f_order)
+
+        try:
+            assert diam.units == coord_electrode.units
+        except AssertionError as ae:
+            print(
+                "units of coord_electrode ({}) and diam ({}) differ".format(
+                    coord_electrode.units, diam.units
+                )
+            )
+            raise
+        try:
+            assert np.all(np.diff(coord_electrode) > 0)
+        except AssertionError as ae:
+            print("values of coord_electrode not continously increasing")
+            raise ae
+
+        try:
+            assert diam.size == 1 or diam.size == coord_electrode.size
+            if diam.size == coord_electrode.size:
+                assert np.all(diam > 0 * diam.units)
+        except AssertionError as ae:
+            print("diam must be scalar or of same shape as coord_electrode")
+            raise ae
+        if diam.size == 1:
+            diam = np.ones(coord_electrode.size) * diam
+
+        self.name = "spline-iCSD method"
+        self.coord_electrode = coord_electrode
+        self.diam = diam
+        self.sigma = sigma
+        self.sigma_top = sigma_top
+        self.tol = tol
+        self.num_steps = num_steps
+
+        # compute stuff
+        self.f_matrix = self.get_f_matrix()
+
+    def get_f_matrix(self):
+        """Calculate the F-matrix for cubic spline iCSD method"""
+        el_len = self.coord_electrode.size
+        z_js = np.zeros(el_len + 1)
+        z_js[:-1] = np.array(self.coord_electrode)
+        z_js[-1] = z_js[-2] + float(np.diff(self.coord_electrode).mean())
+
+        # Define integration matrixes
+        f_mat0 = np.zeros((el_len, el_len + 1))
+        f_mat1 = np.zeros((el_len, el_len + 1))
+        f_mat2 = np.zeros((el_len, el_len + 1))
+        f_mat3 = np.zeros((el_len, el_len + 1))
+
+        # Calc. elements
+        for j in range(el_len):
+            for i in range(el_len):
+                f_mat0[j, i] = si.quad(
+                    self._f_mat0,
+                    a=z_js[i],
+                    b=z_js[i + 1],
+                    args=(z_js[j + 1], float(self.sigma), float(self.diam[j])),
+                    epsabs=self.tol,
+                )[0]
+                f_mat1[j, i] = si.quad(
+                    self._f_mat1,
+                    a=z_js[i],
+                    b=z_js[i + 1],
+                    args=(z_js[j + 1], z_js[i], float(self.sigma), float(self.diam[j])),
+                    epsabs=self.tol,
+                )[0]
+                f_mat2[j, i] = si.quad(
+                    self._f_mat2,
+                    a=z_js[i],
+                    b=z_js[i + 1],
+                    args=(z_js[j + 1], z_js[i], float(self.sigma), float(self.diam[j])),
+                    epsabs=self.tol,
+                )[0]
+                f_mat3[j, i] = si.quad(
+                    self._f_mat3,
+                    a=z_js[i],
+                    b=z_js[i + 1],
+                    args=(z_js[j + 1], z_js[i], float(self.sigma), float(self.diam[j])),
+                    epsabs=self.tol,
+                )[0]
+
+                # image technique if conductivity not constant:
+                if self.sigma != self.sigma_top:
+                    f_mat0[j, i] = (
+                        f_mat0[j, i]
+                        + (self.sigma - self.sigma_top)
+                        / (self.sigma + self.sigma_top)
+                        * si.quad(
+                            self._f_mat0,
+                            a=z_js[i],
+                            b=z_js[i + 1],
+                            args=(-z_js[j + 1], float(self.sigma), float(self.diam[j])),
+                            epsabs=self.tol,
+                        )[0]
+                    )
+                    f_mat1[j, i] = (
+                        f_mat1[j, i]
+                        + (self.sigma - self.sigma_top)
+                        / (self.sigma + self.sigma_top)
+                        * si.quad(
+                            self.f_mat1,
+                            a=z_js[i],
+                            b=z_js[i + 1],
+                            args=(
+                                -z_js[j + 1],
+                                z_js[i],
+                                float(self.sigma),
+                                float(self.diam[j]),
+                            ),
+                            epsabs=self.tol,
+                        )[0]
+                    )
+                    f_mat2[j, i] = (
+                        f_mat2[j, i]
+                        + (self.sigma - self.sigma_top)
+                        / (self.sigma + self.sigma_top)
+                        * si.quad(
+                            self._f_mat2,
+                            a=z_js[i],
+                            b=z_js[i + 1],
+                            args=(
+                                -z_js[j + 1],
+                                z_js[i],
+                                float(self.sigma),
+                                float(self.diam[j]),
+                            ),
+                            epsabs=self.tol,
+                        )[0]
+                    )
+                    f_mat3[j, i] = (
+                        f_mat3[j, i]
+                        + (self.sigma - self.sigma_top)
+                        / (self.sigma + self.sigma_top)
+                        * si.quad(
+                            self._f_mat3,
+                            a=z_js[i],
+                            b=z_js[i + 1],
+                            args=(
+                                -z_js[j + 1],
+                                z_js[i],
+                                float(self.sigma),
+                                float(self.diam[j]),
+                            ),
+                            epsabs=self.tol,
+                        )[0]
+                    )
+
+        e_mat0, e_mat1, e_mat2, e_mat3 = self._calc_e_matrices()
+
+        # Calculate the F-matrix
+        f_matrix = np.eye(el_len + 2)
+        f_matrix[1:-1, :] = (
+            np.dot(f_mat0, e_mat0)
+            + np.dot(f_mat1, e_mat1)
+            + np.dot(f_mat2, e_mat2)
+            + np.dot(f_mat3, e_mat3)
+        )
+
+        return f_matrix * self.coord_electrode.units**2 / self.sigma.units
+
+    def get_csd(self):
+        """
+        Calculate the iCSD using the spline iCSD method
+
+        Returns
+        -------
+        csd : np.ndarray * quantity.Quantity
+            Array with csd estimate
+
+
+        """
+        e_mat = self._calc_e_matrices()
+
+        el_len = self.coord_electrode.size
+
+        # padding the lfp with zeros on top/bottom
+        if self.lfp.ndim == 1:
+            cs_lfp = np.r_[[0], np.asarray(self.lfp), [0]].reshape(1, -1).T
+            csd = np.zeros(self.num_steps)
+        else:
+            cs_lfp = np.vstack(
+                (
+                    np.zeros(self.lfp.shape[1]),
+                    np.asarray(self.lfp),
+                    np.zeros(self.lfp.shape[1]),
+                )
+            )
+            csd = np.zeros((self.num_steps, self.lfp.shape[1]))
+        cs_lfp *= self.lfp.units
+
+        # CSD coefficients
+        csd_coeff = np.linalg.solve(self.f_matrix, cs_lfp)
+
+        # The cubic spline polynomial coefficients
+        a_mat0 = np.dot(e_mat[0], csd_coeff)
+        a_mat1 = np.dot(e_mat[1], csd_coeff)
+        a_mat2 = np.dot(e_mat[2], csd_coeff)
+        a_mat3 = np.dot(e_mat[3], csd_coeff)
+
+        # Extend electrode coordinates in both end by min contact interdistance
+        h = np.diff(self.coord_electrode).min()
+        z_js = np.zeros(el_len + 2)
+        z_js[0] = self.coord_electrode[0] - h
+        z_js[1:-1] = self.coord_electrode
+        z_js[-1] = self.coord_electrode[-1] + h
+
+        # create high res spatial grid
+        out_zs = np.linspace(z_js[1], z_js[-2], self.num_steps)
+
+        # Calculate iCSD estimate on grid from polynomial coefficients.
+        i = 0
+        for j in range(self.num_steps):
+            if out_zs[j] >= z_js[i + 1]:
+                i += 1
+            csd[j,] = (
+                a_mat0[i, :]
+                + a_mat1[i, :] * (out_zs[j] - z_js[i])
+                + a_mat2[i, :] * (out_zs[j] - z_js[i]) ** 2
+                + a_mat3[i, :] * (out_zs[j] - z_js[i]) ** 3
+            )
+
+        csd_unit = (self.f_matrix.units**-1 * self.lfp.units).simplified
+
+        return csd * csd_unit
+
+    def _f_mat0(self, zeta, z_val, sigma, diam):
+        """0'th order potential function"""
+        return (
+            1.0
+            / (2.0 * sigma)
+            * (np.sqrt((diam / 2) ** 2 + ((z_val - zeta)) ** 2) - abs(z_val - zeta))
+        )
+
+    def _f_mat1(self, zeta, z_val, zi_val, sigma, diam):
+        """1'th order potential function"""
+        return (zeta - zi_val) * self._f_mat0(zeta, z_val, sigma, diam)
+
+    def _f_mat2(self, zeta, z_val, zi_val, sigma, diam):
+        """2'nd order potential function"""
+        return (zeta - zi_val) ** 2 * self._f_mat0(zeta, z_val, sigma, diam)
+
+    def _f_mat3(self, zeta, z_val, zi_val, sigma, diam):
+        """3'rd order potential function"""
+        return (zeta - zi_val) ** 3 * self._f_mat0(zeta, z_val, sigma, diam)
+
+    def _calc_k_matrix(self):
+        """Calculate the K-matrix used by to calculate E-matrices"""
+        el_len = self.coord_electrode.size
+        h = float(np.diff(self.coord_electrode).min())
+
+        c_jm1 = np.eye(el_len + 2, k=0) / h
+        c_jm1[0, 0] = 0
+
+        c_j0 = np.eye(el_len + 2) / h
+        c_j0[-1, -1] = 0
+
+        c_jall = c_j0
+        c_jall[0, 0] = 1
+        c_jall[-1, -1] = 1
+
+        tjp1 = np.eye(el_len + 2, k=1)
+        tjm1 = np.eye(el_len + 2, k=-1)
+
+        tj0 = np.eye(el_len + 2)
+        tj0[0, 0] = 0
+        tj0[-1, -1] = 0
+
+        # Defining K-matrix used to calculate e_mat1-3
+        return np.dot(
+            np.linalg.inv(
+                np.dot(c_jm1, tjm1)
+                + 2 * np.dot(c_jm1, tj0)
+                + 2 * c_jall
+                + np.dot(c_j0, tjp1)
+            ),
+            3
+            * (
+                np.dot(np.dot(c_jm1, c_jm1), tj0)
+                - np.dot(np.dot(c_jm1, c_jm1), tjm1)
+                + np.dot(np.dot(c_j0, c_j0), tjp1)
+                - np.dot(np.dot(c_j0, c_j0), tj0)
+            ),
+        )
+
+    def _calc_e_matrices(self):
+        """Calculate the E-matrices used by cubic spline iCSD method"""
+        el_len = self.coord_electrode.size
+        ## expanding electrode grid
+        h = float(np.diff(self.coord_electrode).min())
+
+        ## Define transformation matrices
+        c_mat3 = np.eye(el_len + 1) / h
+
+        # Get K-matrix
+        k_matrix = self._calc_k_matrix()
+
+        # Define matrixes for C to A transformation:
+        tja = np.eye(el_len + 2)[:-1,]
+        tjp1a = np.eye(el_len + 2, k=1)[:-1,]
+
+        # Define spline coefficients
+        e_mat0 = tja
+        e_mat1 = np.dot(tja, k_matrix)
+        e_mat2 = 3 * np.dot(c_mat3**2, (tjp1a - tja)) - np.dot(
+            np.dot(c_mat3, (tjp1a + 2 * tja)), k_matrix
+        )
+        e_mat3 = 2 * np.dot(c_mat3**3, (tja - tjp1a)) + np.dot(
+            np.dot(c_mat3**2, (tjp1a + tja)), k_matrix
+        )
+
+        return e_mat0, e_mat1, e_mat2, e_mat3
+
+
+def estimate_csd(
+    lfp,
+    coord_electrode,
+    sigma,
+    method="standard",
+    diam=None,
+    h=None,
+    sigma_top=None,
+    tol=1e-6,
+    num_steps=200,
+    f_type="identity",
+    f_order=None,
+):
+    """
+    Estimates current source density (CSD) from local field potential (LFP)
+    recordings from multiple depths of the cortex.
+
+    Parameters
+    ----------
+    lfp : neo.AnalogSignalArray
+        LFP signals from which CSD is estimated.
+    coord_electrode : Quantity array
+        Depth of evenly spaced electrode contact points.
+    sigma : Quantity float
+        Conductivity of tissue.
+    method : string
+        CSD estimation method, either of 'standard': the standard
+        double-derivative method, 'delta': delta-iCSD method, 'step':
+        step-iCSD method, 'spline': spline-iCSD method. Default is 'standard'
+    diam : Quantity float
+        Diamater of the assumed circular planar current sources centered at
+        each contact, required by iCSD methods (= 'delta', 'step',
+        'spline'). Default is `None`.
+    h : float or np.ndarray * quantity.Quantity
+        assumed thickness of the source cylinders at all or each contact
+    sigma_top : Quantity float
+        Conductivity on top of tissue. When set to `None`, the same value as
+        sigma: is used. Default is `None`.
+    tol : float
+        Tolerance of numerical integration, required by step- and
+        spline-iCSD methods. Default is 1E-6.
+    num_steps : int
+        Number of data points for the spatially upsampled LFP/CSD data,
+        required by spline-iCSD method. Default is 200.
+    f_type : string
+        Type of spatial
+        used for smoothing of the result, either of
+        'boxcar' (uses `scipy.signal.baxcar()`), 'hamming' (
+        `scipy.signal.hamming()`), 'triangular' (`scipy.signal.tri()`),
+        'gaussian' (`scipy.signal.gaussian`), 'identity' (no smoothing is
+        applied). Default is 'identity'.
+    f_order : float tuple
+        Parameters to be passed to the scipy.signal function associated with
+        the specified filter type.
+
+
+    Returns
+    -------
+    tuple : (csd, csd_filtered)
+        csd : neo.AnalogSignalArray
+            Estimated CSD
+        csd_filtered : neo.AnalogSignalArray
+            Estimated CSD, spatially filtered
+
+
+    Example
+    -------
+    import numpy as np
+    import matplotlib.pyplot as plt
+    from scipy import io
+    import quantities as pq
+    import neo
+
+    import icsd
+
+
+    #loading test data
+    test_data = io.loadmat('test_data.mat')
+
+    #prepare lfp data for use, by changing the units to SI and append
+    #quantities, along with electrode geometry and conductivities
+    lfp_data = test_data['pot1'] * 1E-3 * pq.V        # [mV] -> [V]
+    z_data = np.linspace(100E-6, 2300E-6, 23) * pq.m  # [m]
+    diam = 500E-6 * pq.m                              # [m]
+    sigma = 0.3 * pq.S / pq.m                         # [S/m] or [1/(ohm*m)]
+    sigma_top = 0. * pq.S / pq.m                      # [S/m] or [1/(ohm*m)]
+
+    lfp = neo.AnalogSignalArray(lfp_data.T, sampling_rate=2.0*pq.kHz)
+
+    # Input dictionaries for each method
+    params = {}
+    params['delta'] = {
+        'method': 'delta',
+        'lfp' : lfp,
+        'coord_electrode' : z_data,
+        'diam' : diam,        # source diameter
+        'sigma' : sigma,           # extracellular conductivity
+        'sigma_top' : sigma,       # conductivity on top of cortex
+    }
+    params['step'] = {
+        'method': 'step',
+        'lfp' : lfp,
+        'coord_electrode' : z_data,
+        'diam' : diam,
+        'sigma' : sigma,
+        'sigma_top' : sigma,
+        'tol' : 1E-12,          # Tolerance in numerical integration
+        }
+    params['spline'] = {
+        'method': 'spline',
+        'lfp' : lfp,
+        'coord_electrode' : z_data,
+        'diam' : diam,
+        'sigma' : sigma,
+        'sigma_top' : sigma,
+        'num_steps' : 201,      # Spatial CSD upsampling to N steps
+        'tol' : 1E-12,
+        }
+    params['standard'] = {
+        'method': 'standard',
+        'lfp' : lfp,
+        'coord_electrode' : z_data,
+        'sigma' : sigma,
+        }
+
+    #plot LFP signal
+    fig, axes = plt.subplots(len(params)+1, 1, figsize=(6, 8))
+    ax = axes[0]
+    im = ax.imshow(lfp.magnitude.T, origin='upper', vmin=-abs(lfp).max(),
+                   vmax=abs(lfp).max(), cmap='jet_r', interpolation='nearest')
+    ax.axis(ax.axis('tight'))
+    cb = plt.colorbar(im, ax=ax)
+    cb.set_label('LFP (%s)' % lfp_data.dimensionality.string)
+    ax.set_xticklabels([])
+    ax.set_title('LFP')
+    ax.set_ylabel('ch #')
+    i_ax = 1
+    for method, param in params.items():
+        ax = axes[i_ax]
+        i_ax += 1
+        csd = icsd.estimate_csd(**param)
+        im = ax.imshow(csd.magnitude.T, origin='upper', vmin=-abs(csd).max(),
+                       vmax=abs(csd).max(), cmap='jet_r',
+                       interpolation='nearest')
+        ax.axis(ax.axis('tight'))
+        ax.set_title(method)
+        cb = plt.colorbar(im, ax=ax)
+        cb.set_label('CSD (%s)' % csd.dimensionality.string)
+        ax.set_xticklabels([])
+        ax.set_ylabel('ch #')
+
+    plt.show()
+    """
+
+    supported_methods = ("standard", "delta", "step", "spline")
+    icsd_methods = ("delta", "step", "spline")
+
+    if method not in supported_methods:
+        print(
+            "Pamareter `method` must be either of {}".format(
+                ", ".join(supported_methods)
+            )
+        )
+        raise ValueError
+    elif method in icsd_methods and diam is None:
+        print(
+            "Parameter `diam` must be specified for iCSD methods: {}".format(
+                ", ".join(icsd_methods)
+            )
+        )
+        raise ValueError
+
+    if not isinstance(lfp, neo.AnalogSignalArray):
+        print("Parameter `lfp` must be neo.AnalogSignalArray")
+        raise TypeError
+
+    if f_type is not "identity" and f_order is None:
+        print("The order of {} filter must be specified".format(f_type))
+        raise ValueError
+
+    lfp_pqarr = lfp.magnitude.T * lfp.units
+    if sigma_top is None:
+        sigma_top = sigma
+
+    arg_dict = {
+        "lfp": lfp_pqarr,
+        "coord_electrode": coord_electrode,
+        "sigma": sigma,
+        "f_type": f_type,
+        "f_order": f_order,
+    }
+    if method == "standard":
+        csd_estimator = StandardCSD(**arg_dict)
+    else:
+        arg_dict["diam"] = diam
+        arg_dict["sigma_top"] = sigma_top
+        if method == "delta":
+            csd_estimator = DeltaiCSD(**arg_dict)
+        else:
+            arg_dict["tol"] = tol
+            if method == "step":
+                arg_dict["h"] = h
+                csd_estimator = StepiCSD(**arg_dict)
+            else:
+                arg_dict["num_steps"] = num_steps
+                csd_estimator = SplineiCSD(**arg_dict)
+    csd_pqarr = csd_estimator.get_csd()
+    csd_pqarr_filtered = csd_estimator.filter_csd(csd_pqarr)
+    csd = neo.AnalogSignalArray(
+        csd_pqarr.T, t_start=lfp.t_start, sampling_rate=lfp.sampling_rate
+    )
+    csd_filtered = neo.AnalogSignalArray(
+        csd_pqarr_filtered.T, t_start=lfp.t_start, sampling_rate=lfp.sampling_rate
+    )
+
+    return csd, csd_filtered
diff --git a/docs/tutorial/05_opt_extracellular/icsd_scripts/test_icsd.py b/docs/tutorial/05_opt_extracellular/icsd_scripts/test_icsd.py
new file mode 100755
index 00000000..ac57a9f2
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/icsd_scripts/test_icsd.py
@@ -0,0 +1,1243 @@
+# -*- coding: utf-8 -*-
+'''icsd testing suite'''
+
+import os
+import numpy as np
+import numpy.testing as nt
+import quantities as pq
+import scipy.integrate as si
+from scipy.interpolate import interp1d
+import icsd
+import unittest
+
+#patch quantities with the SI unit Siemens if it does not exist
+for symbol, prefix, definition, u_symbol in zip(
+    ['siemens', 'S', 'mS', 'uS', 'nS', 'pS'],
+    ['', '', 'milli', 'micro', 'nano', 'pico'],
+    [pq.A/pq.V, pq.A/pq.V, 'S', 'mS', 'uS', 'nS'],
+    [None, None, None, None, u'µS', None]):
+    if type(definition) is str:
+        definition = lastdefinition / 1000
+    if not hasattr(pq, symbol):
+        setattr(pq, symbol, pq.UnitQuantity(
+            prefix + 'siemens',
+            definition,
+            symbol=symbol,
+            u_symbol=u_symbol))
+    lastdefinition = definition
+
+
+def potential_of_plane(z_j, z_i=0.*pq.m,
+                      C_i=1*pq.A/pq.m**2,
+                      sigma=0.3*pq.S/pq.m):
+    '''
+    Return potential of infinite horizontal plane with constant
+    current source density at a vertical offset z_j. 
+    
+    Arguments
+    ---------
+    z_j : float*pq.m
+        distance perpendicular to source layer
+    z_i : float*pq.m
+        z-position of source layer
+    C_i : float*pq.A/pq.m**2
+        current source density on circular disk in units of charge per area
+    sigma : float*pq.S/pq.m
+        conductivity of medium in units of S/m
+
+    Notes
+    -----
+    The potential is 0 at the plane, as the potential goes to infinity for
+    large distances
+    
+    '''
+    try:
+        assert(z_j.units == z_i.units)
+    except AssertionError as ae:
+        print('units of z_j ({}) and z_i ({}) not equal'.format(z_j.units,
+                                                                    z_i.units))
+        raise ae
+    
+    return -C_i/(2*sigma)*abs(z_j-z_i).simplified
+
+
+def potential_of_disk(z_j,
+                      z_i=0.*pq.m,
+                      C_i=1*pq.A/pq.m**2,
+                      R_i=1E-3*pq.m,
+                      sigma=0.3*pq.S/pq.m):
+    '''
+    Return potential of circular disk in horizontal plane with constant
+    current source density at a vertical offset z_j. 
+    
+    Arguments
+    ---------
+    z_j : float*pq.m
+        distance perpendicular to center of disk
+    z_i : float*pq.m
+        z_j-position of source disk
+    C_i : float*pq.A/pq.m**2
+        current source density on circular disk in units of charge per area
+    R_i : float*pq.m
+        radius of disk source
+    sigma : float*pq.S/pq.m
+        conductivity of medium in units of S/m
+    '''
+    try:
+        assert(z_j.units == z_i.units == R_i.units)
+    except AssertionError as ae:
+        print('units of z_j ({}), z_i ({}) and R_i ({}) not equal'.format(
+            z_j.units, z_i.units, R_i.units))
+        raise ae
+    
+    return C_i/(2*sigma)*(np.sqrt((z_j-z_i)**2 + R_i**2) - abs(z_j-z_i)).simplified
+
+
+def potential_of_cylinder(z_j,
+                          z_i=0.*pq.m,
+                          C_i=1*pq.A/pq.m**3,
+                          R_i=1E-3*pq.m,
+                          h_i=0.1*pq.m,
+                          sigma=0.3*pq.S/pq.m,
+                          ):
+    '''
+    Return potential of cylinder in horizontal plane with constant homogeneous
+    current source density at a vertical offset z_j. 
+    
+
+    Arguments
+    ---------
+    z_j : float*pq.m
+        distance perpendicular to center of disk
+    z_i : float*pq.m
+        z-position of center of source cylinder
+    h_i : float*pq.m
+        thickness of cylinder
+    C_i : float*pq.A/pq.m**3
+        current source density on circular disk in units of charge per area
+    R_i : float*pq.m
+        radius of disk source
+    sigma : float*pq.S/pq.m
+        conductivity of medium in units of S/m
+
+    Notes
+    -----
+    Sympy can't deal with eq. 11 in Pettersen et al 2006, J neurosci Meth,
+    so we numerically evaluate it in this function.
+    
+    Tested with
+    
+    >>>from sympy import *
+    >>>C_i, z_i, h, z_j, z_j, sigma, R = symbols('C_i z_i h z z_j sigma R')
+    >>>C_i*integrate(1/(2*sigma)*(sqrt((z-z_j)**2 + R**2) - abs(z-z_j)), (z, z_i-h/2, z_i+h/2))
+
+
+    '''
+    try:
+        assert(z_j.units == z_i.units == R_i.units == h_i.units)
+    except AssertionError as ae:
+        print('units of z_j ({}), z_i ({}), R_i ({}) and h ({}) not equal'.format(
+            z_j.units, z_i.units, R_i.units, h_i.units))
+        raise ae
+
+    #speed up tests by stripping units
+    _sigma = float(sigma)
+    _R_i = float(R_i)
+    _z_i = float(z_i)
+    _z_j = float(z_j)
+
+    #evaluate integrand using quad
+    def integrand(z):
+        return 1/(2*_sigma)*(np.sqrt((z-_z_j)**2 + _R_i**2) - abs(z-_z_j))
+        
+    phi_j, abserr = C_i*si.quad(integrand, z_i-h_i/2, z_i+h_i/2)
+    
+    return (phi_j * z_i.units**2 / sigma.units)
+
+
+
+def get_lfp_of_planes(z_j=np.arange(21)*1E-4*pq.m,
+                      z_i=np.array([8E-4, 10E-4, 12E-4])*pq.m,
+                      C_i=np.array([-.5, 1., -.5])*pq.A/pq.m**2,
+                      sigma=0.3*pq.S/pq.m,
+                      plot=True):
+    '''
+    Compute the lfp of spatially separated planes with given current source
+    density
+    '''
+    phi_j = np.zeros(z_j.size)*pq.V
+    for i, (zi, Ci) in enumerate(zip(z_i, C_i)):
+        for j, zj in enumerate(z_j):
+            phi_j[j] += potential_of_plane(zj, zi, Ci, sigma)
+    
+    #test plot
+    if plot:
+        import matplotlib.pyplot as plt
+        plt.figure()
+        plt.subplot(121)
+        ax = plt.gca()
+        ax.plot(np.zeros(z_j.size), z_j, 'r-o')
+        for i, C in enumerate(C_i):
+            ax.plot((0, C), (z_i[i], z_i[i]), 'r-o')
+        ax.set_ylim(z_j.min(), z_j.max())
+        ax.set_ylabel('z_j ({})'.format(z_j.units))
+        ax.set_xlabel('C_i ({})'.format(C_i.units))
+        ax.set_title('planar CSD')
+    
+        plt.subplot(122)
+        ax = plt.gca()
+        ax.plot(phi_j, z_j, 'r-o')
+        ax.set_ylim(z_j.min(), z_j.max())
+        ax.set_xlabel('phi_j ({})'.format(phi_j.units))
+        ax.set_title('LFP')
+    
+    return phi_j, C_i
+
+
+def get_lfp_of_disks(z_j=np.arange(21)*1E-4*pq.m,
+                     z_i=np.array([8E-4, 10E-4, 12E-4])*pq.m,
+                     C_i=np.array([-.5, 1., -.5])*pq.A/pq.m**2,
+                     R_i = np.array([1, 1, 1])*1E-3*pq.m,
+                     sigma=0.3*pq.S/pq.m,
+                     plot=True):
+    '''
+    Compute the lfp of spatially separated disks with a given
+    current source density
+    '''
+    phi_j = np.zeros(z_j.size)*pq.V
+    for i, (zi, Ci, Ri) in enumerate(zip(z_i, C_i, R_i)):
+        for j, zj in enumerate(z_j):
+            phi_j[j] += potential_of_disk(zj, zi, Ci, Ri, sigma)
+    
+    #test plot
+    if plot:
+        import matplotlib.pyplot as plt
+        plt.figure()
+        plt.subplot(121)
+        ax = plt.gca()
+        ax.plot(np.zeros(z_j.size), z_j, 'r-o')
+        for i, C in enumerate(C_i):
+            ax.plot((0, C), (z_i[i], z_i[i]), 'r-o')
+        ax.set_ylim(z_j.min(), z_j.max())
+        ax.set_ylabel('z_j ({})'.format(z_j.units))
+        ax.set_xlabel('C_i ({})'.format(C_i.units))
+        ax.set_title('disk CSD\nR={}'.format(R_i))
+    
+        plt.subplot(122)
+        ax = plt.gca()
+        ax.plot(phi_j, z_j, 'r-o')
+        ax.set_ylim(z_j.min(), z_j.max())
+        ax.set_xlabel('phi_j ({})'.format(phi_j.units))
+        ax.set_title('LFP')
+    
+    return phi_j, C_i
+    
+
+def get_lfp_of_cylinders(z_j=np.arange(21)*1E-4*pq.m,
+                         z_i=np.array([8E-4, 10E-4, 12E-4])*pq.m,
+                         C_i=np.array([-.5, 1., -.5])*pq.A/pq.m**3,
+                         R_i = np.array([1, 1, 1])*1E-3*pq.m,
+                         h_i=np.array([1, 1, 1])*1E-4*pq.m,
+                         sigma=0.3*pq.S/pq.m,
+                         plot=True):
+    '''
+    Compute the lfp of spatially separated disks with a given
+    current source density
+    '''
+    phi_j = np.zeros(z_j.size)*pq.V
+    for i, (zi, Ci, Ri, hi) in enumerate(zip(z_i, C_i, R_i, h_i)):
+        for j, zj in enumerate(z_j):
+            phi_j[j] += potential_of_cylinder(zj, zi, Ci, Ri, hi, sigma)
+    
+    #test plot
+    if plot:
+        import matplotlib.pyplot as plt
+        plt.figure()
+        plt.subplot(121)
+        ax = plt.gca()
+        ax.plot(np.zeros(z_j.size), z_j, 'r-o')
+        ax.barh(np.asarray(z_i-h_i/2),
+                np.asarray(C_i),
+                np.asarray(h_i), color='r')
+        ax.set_ylim(z_j.min(), z_j.max())
+        ax.set_ylabel('z_j ({})'.format(z_j.units))
+        ax.set_xlabel('C_i ({})'.format(C_i.units))
+        ax.set_title('cylinder CSD\nR={}'.format(R_i))
+    
+        plt.subplot(122)
+        ax = plt.gca()
+        ax.plot(phi_j, z_j, 'r-o')
+        ax.set_ylim(z_j.min(), z_j.max())
+        ax.set_xlabel('phi_j ({})'.format(phi_j.units))
+        ax.set_title('LFP')
+    
+    return phi_j, C_i
+    
+
+
+
+
+
+class TestICSD(unittest.TestCase):
+    '''
+    Set of test functions for each CSD estimation method comparing
+    estimate to LFPs calculated with known ground truth CSD
+    '''
+    
+    def test_StandardCSD_00(self):
+        '''test using standard SI units'''
+        #set some parameters for ground truth csd and csd estimates.
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**2
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**2
+                
+        #uniform conductivity
+        sigma = 0.3*pq.S/pq.m
+        
+        #flag for debug plots
+        plot = False
+        
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_planes(z_j, z_i, C_i, sigma, plot)
+        std_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j,
+            'sigma' : sigma,
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        std_csd = icsd.StandardCSD(**std_input)
+        csd = std_csd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+    
+
+    def test_StandardCSD_01(self):
+        '''test using non-standard SI units 1'''
+        #set some parameters for ground truth csd and csd estimates.
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**2
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*1E3*pq.A/pq.m**2
+                
+        #uniform conductivity
+        sigma = 0.3*pq.S/pq.m
+        
+        #flag for debug plots
+        plot = False
+        
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_planes(z_j, z_i, C_i, sigma, plot)
+        std_input = {
+            'lfp' : phi_j*1E3*pq.mV/pq.V,
+            'coord_electrode' : z_j,
+            'sigma' : sigma,
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        std_csd = icsd.StandardCSD(**std_input)
+        csd = std_csd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+
+
+    def test_StandardCSD_02(self):
+        '''test using non-standard SI units 2'''
+        #set some parameters for ground truth csd and csd estimates.
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**2
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**2
+                
+        #uniform conductivity
+        sigma = 0.3*pq.S/pq.m
+        
+        #flag for debug plots
+        plot = False
+        
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_planes(z_j, z_i, C_i, sigma, plot)
+        std_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j*1E3*pq.mm/pq.m,
+            'sigma' : sigma,
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        std_csd = icsd.StandardCSD(**std_input)
+        csd = std_csd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+        
+        
+    def test_StandardCSD_03(self):
+        '''test using non-standard SI units 3'''
+        #set some parameters for ground truth csd and csd estimates.
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**2
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**2
+                
+        #uniform conductivity
+        sigma = 0.3*pq.mS/pq.m
+        
+        #flag for debug plots
+        plot = False
+        
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_planes(z_j, z_i, C_i, sigma, plot)
+        std_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j,
+            'sigma' : sigma*1E3*pq.mS/pq.S,
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        std_csd = icsd.StandardCSD(**std_input)
+        csd = std_csd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+        
+    
+    def test_DeltaiCSD_00(self):
+        '''test using standard SI units'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**2
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**2
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_disks(z_j, z_i, C_i, R_i, sigma,
+                                      plot)
+        delta_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j,
+            'diam' : R_i.mean()*2,        # source diameter
+            'sigma' : sigma,           # extracellular conductivity
+            'sigma_top' : sigma_top,       # conductivity on top of cortex
+            'f_type' : 'gaussian',  # gaussian filter
+            'f_order' : (3, 1),     # 3-point filter, sigma = 1.
+        }
+        
+        delta_icsd = icsd.DeltaiCSD(**delta_input)
+        csd = delta_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+
+
+    def test_DeltaiCSD_01(self):
+        '''test using non-standard SI units 1'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**2
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**2
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_disks(z_j, z_i, C_i, R_i, sigma,
+                                      plot)
+        delta_input = {
+            'lfp' : phi_j*1E3*pq.mV/pq.V,
+            'coord_electrode' : z_j,
+            'diam' : R_i.mean()*2,        # source diameter
+            'sigma' : sigma,           # extracellular conductivity
+            'sigma_top' : sigma_top,       # conductivity on top of cortex
+            'f_type' : 'gaussian',  # gaussian filter
+            'f_order' : (3, 1),     # 3-point filter, sigma = 1.
+        }
+        
+        delta_icsd = icsd.DeltaiCSD(**delta_input)
+        csd = delta_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+
+
+    def test_DeltaiCSD_02(self):
+        '''test using non-standard SI units 2'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**2
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**2
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_disks(z_j, z_i, C_i, R_i, sigma,
+                                      plot)
+        delta_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j*1E3*pq.mm/pq.m,
+            'diam' : R_i.mean()*2*1E3*pq.mm/pq.m,        # source diameter
+            'sigma' : sigma,           # extracellular conductivity
+            'sigma_top' : sigma_top,       # conductivity on top of cortex
+            'f_type' : 'gaussian',  # gaussian filter
+            'f_order' : (3, 1),     # 3-point filter, sigma = 1.
+        }
+        
+        delta_icsd = icsd.DeltaiCSD(**delta_input)
+        csd = delta_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+
+
+    def test_DeltaiCSD_03(self):
+        '''test using non-standard SI units 3'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**2
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**2
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_disks(z_j, z_i, C_i, R_i, sigma,
+                                      plot)
+        delta_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j,
+            'diam' : R_i.mean()*2,        # source diameter
+            'sigma' : sigma*1E3*pq.mS/pq.S,           # extracellular conductivity
+            'sigma_top' : sigma_top*1E3*pq.mS/pq.S,       # conductivity on top of cortex
+            'f_type' : 'gaussian',  # gaussian filter
+            'f_order' : (3, 1),     # 3-point filter, sigma = 1.
+        }
+        
+        delta_icsd = icsd.DeltaiCSD(**delta_input)
+        csd = delta_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+
+
+    def test_DeltaiCSD_04(self):
+        '''test non-continous z_j array'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**2
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**2
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_j.size)*1E-3*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_disks(z_j, z_i, C_i, R_i, sigma,
+                                      plot)
+        inds = np.delete(np.arange(21), 5)
+        delta_input = {
+            'lfp' : phi_j[inds],
+            'coord_electrode' : z_j[inds],
+            'diam' : R_i[inds]*2,        # source diameter
+            'sigma' : sigma,           # extracellular conductivity
+            'sigma_top' : sigma_top,       # conductivity on top of cortex
+            'f_type' : 'gaussian',  # gaussian filter
+            'f_order' : (3, 1),     # 3-point filter, sigma = 1.
+        }
+        
+        delta_icsd = icsd.DeltaiCSD(**delta_input)
+        csd = delta_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i[inds], csd)
+
+    
+    def test_StepiCSD_units_00(self):
+        '''test using standard SI units'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i, C_i, R_i, h_i,
+                                          sigma, plot)
+
+        step_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j,
+            'diam' : R_i.mean()*2,
+            'sigma' : sigma,
+            'sigma_top' : sigma,
+            'h' : h_i,
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        step_icsd = icsd.StepiCSD(**step_input)
+        csd = step_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+            
+
+    def test_StepiCSD_01(self):
+        '''test using non-standard SI units 1'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i, C_i, R_i, h_i,
+                                          sigma, plot)
+
+        step_input = {
+            'lfp' : phi_j*1E3*pq.mV/pq.V,
+            'coord_electrode' : z_j,
+            'diam' : R_i.mean()*2,
+            'sigma' : sigma,
+            'sigma_top' : sigma,
+            'h' : h_i,
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        step_icsd = icsd.StepiCSD(**step_input)
+        csd = step_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+
+        
+    def test_StepiCSD_02(self):
+        '''test using non-standard SI units 2'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i, C_i, R_i, h_i,
+                                          sigma, plot)
+
+        step_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j*1E3*pq.mm/pq.m,
+            'diam' : R_i.mean()*2*1E3*pq.mm/pq.m,
+            'sigma' : sigma,
+            'sigma_top' : sigma,
+            'h' : h_i*1E3*pq.mm/pq.m,
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        step_icsd = icsd.StepiCSD(**step_input)
+        csd = step_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+
+
+    def test_StepiCSD_03(self):
+        '''test using non-standard SI units 3'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i, C_i, R_i, h_i,
+                                          sigma, plot)
+
+        step_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j,
+            'diam' : R_i.mean()*2,
+            'sigma' : sigma*1E3*pq.mS/pq.S,
+            'sigma_top' : sigma*1E3*pq.mS/pq.S,
+            'h' : h_i,
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        step_icsd = icsd.StepiCSD(**step_input)
+        csd = step_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd)
+
+        
+    def test_StepiCSD_units_04(self):
+        '''test non-continous z_j array'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+        
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i, C_i, R_i, h_i,
+                                          sigma, plot)
+        inds = np.delete(np.arange(21), 5)
+        step_input = {
+            'lfp' : phi_j[inds],
+            'coord_electrode' : z_j[inds],
+            'diam' : R_i[inds]*2,
+            'sigma' : sigma,
+            'sigma_top' : sigma,
+            'h' : h_i[inds],
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        step_icsd = icsd.StepiCSD(**step_input)
+        csd = step_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i[inds], csd)
+
+
+    def test_SplineiCSD_00(self):
+        '''test using standard SI units'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+                
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+
+        #construct interpolators, spline method assume underlying source
+        #pattern generating LFPs that are cubic spline interpolates between
+        #contacts so we generate CSD data relying on the same assumption 
+        f_C = interp1d(z_i, C_i, kind='cubic')
+        f_R = interp1d(z_i, R_i)
+        num_steps = 201
+        z_i_i = np.linspace(float(z_i[0]), float(z_i[-1]), num_steps)*z_i.units
+        C_i_i = f_C(np.asarray(z_i_i))*C_i.units
+        R_i_i = f_R(z_i_i)*R_i.units
+
+        h_i_i = np.ones(z_i_i.size)*np.diff(z_i_i).min()
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i_i, C_i_i, R_i_i, h_i_i,
+                                          sigma, plot)
+
+        spline_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j,
+            'diam' : R_i*2,
+            'sigma' : sigma,
+            'sigma_top' : sigma,
+            'num_steps' : num_steps,
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        spline_icsd = icsd.SplineiCSD(**spline_input)
+        csd = spline_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd, decimal=3)
+
+
+    def test_SplineiCSD_01(self):
+        '''test using standard SI units, deep electrode coordinates'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(10, 31)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+                
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+
+        #construct interpolators, spline method assume underlying source
+        #pattern generating LFPs that are cubic spline interpolates between
+        #contacts so we generate CSD data relying on the same assumption 
+        f_C = interp1d(z_i, C_i, kind='cubic')
+        f_R = interp1d(z_i, R_i)
+        num_steps = 201
+        z_i_i = np.linspace(float(z_i[0]), float(z_i[-1]), num_steps)*z_i.units
+        C_i_i = f_C(np.asarray(z_i_i))*C_i.units
+        R_i_i = f_R(z_i_i)*R_i.units
+
+        h_i_i = np.ones(z_i_i.size)*np.diff(z_i_i).min()
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i_i, C_i_i, R_i_i, h_i_i,
+                                          sigma, plot)
+
+        spline_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j,
+            'diam' : R_i*2,
+            'sigma' : sigma,
+            'sigma_top' : sigma,
+            'num_steps' : num_steps,
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        spline_icsd = icsd.SplineiCSD(**spline_input)
+        csd = spline_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd, decimal=3)
+
+
+    def test_SplineiCSD_02(self):
+        '''test using non-standard SI units'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+                
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+
+        #construct interpolators, spline method assume underlying source
+        #pattern generating LFPs that are cubic spline interpolates between
+        #contacts so we generate CSD data relying on the same assumption 
+        f_C = interp1d(z_i, C_i, kind='cubic')
+        f_R = interp1d(z_i, R_i)
+        num_steps = 201
+        z_i_i = np.linspace(float(z_i[0]), float(z_i[-1]), num_steps)*z_i.units
+        C_i_i = f_C(np.asarray(z_i_i))*C_i.units
+        R_i_i = f_R(z_i_i)*R_i.units
+
+        h_i_i = np.ones(z_i_i.size)*np.diff(z_i_i).min()
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i_i, C_i_i, R_i_i, h_i_i,
+                                          sigma, plot)
+
+        spline_input = {
+            'lfp' : phi_j*1E3*pq.mV/pq.V,
+            'coord_electrode' : z_j,
+            'diam' : R_i*2,
+            'sigma' : sigma,
+            'sigma_top' : sigma,
+            'num_steps' : num_steps,
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        spline_icsd = icsd.SplineiCSD(**spline_input)
+        csd = spline_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd, decimal=3)
+
+
+    def test_SplineiCSD_03(self):
+        '''test using standard SI units'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+                
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+
+        #construct interpolators, spline method assume underlying source
+        #pattern generating LFPs that are cubic spline interpolates between
+        #contacts so we generate CSD data relying on the same assumption 
+        f_C = interp1d(z_i, C_i, kind='cubic')
+        f_R = interp1d(z_i, R_i)
+        num_steps = 201
+        z_i_i = np.linspace(float(z_i[0]), float(z_i[-1]), num_steps)*z_i.units
+        C_i_i = f_C(np.asarray(z_i_i))*C_i.units
+        R_i_i = f_R(z_i_i)*R_i.units
+
+        h_i_i = np.ones(z_i_i.size)*np.diff(z_i_i).min()
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i_i, C_i_i, R_i_i, h_i_i,
+                                          sigma, plot)
+
+        spline_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j*1E3*pq.mm/pq.m,
+            'diam' : R_i*2*1E3*pq.mm/pq.m,
+            'sigma' : sigma,
+            'sigma_top' : sigma,
+            'num_steps' : num_steps,
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        spline_icsd = icsd.SplineiCSD(**spline_input)
+        csd = spline_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd, decimal=3)
+        
+
+    def test_SplineiCSD_04(self):
+        '''test using standard SI units'''
+        #set some parameters for ground truth csd and csd estimates., e.g.,
+        #we will use same source diameter as in ground truth
+        
+        #contact point coordinates
+        z_j = np.arange(21)*1E-4*pq.m
+        
+        #source coordinates
+        z_i = z_j
+        
+        #current source density magnitude
+        C_i = np.zeros(z_i.size)*pq.A/pq.m**3
+        C_i[7:12:2] += np.array([-.5, 1., -.5])*pq.A/pq.m**3
+                
+        #source radius (delta, step)
+        R_i = np.ones(z_i.size)*1E-3*pq.m
+        
+        #source height (cylinder)
+        h_i = np.ones(z_i.size)*1E-4*pq.m
+        
+        #conductivity, use same conductivity for top layer (z_j < 0)
+        sigma = 0.3*pq.S/pq.m
+        sigma_top = sigma
+
+        #construct interpolators, spline method assume underlying source
+        #pattern generating LFPs that are cubic spline interpolates between
+        #contacts so we generate CSD data relying on the same assumption 
+        f_C = interp1d(z_i, C_i, kind='cubic')
+        f_R = interp1d(z_i, R_i)
+        num_steps = 201
+        z_i_i = np.linspace(float(z_i[0]), float(z_i[-1]), num_steps)*z_i.units
+        C_i_i = f_C(np.asarray(z_i_i))*C_i.units
+        R_i_i = f_R(z_i_i)*R_i.units
+
+        h_i_i = np.ones(z_i_i.size)*np.diff(z_i_i).min()
+        
+        #flag for debug plots
+        plot = False
+
+        #get LFP and CSD at contacts
+        phi_j, C_i = get_lfp_of_cylinders(z_j, z_i_i, C_i_i, R_i_i, h_i_i,
+                                          sigma, plot)
+
+        spline_input = {
+            'lfp' : phi_j,
+            'coord_electrode' : z_j,
+            'diam' : R_i*2,
+            'sigma' : sigma*1E3*pq.mS/pq.S,
+            'sigma_top' : sigma*1E3*pq.mS/pq.S,
+            'num_steps' : num_steps,
+            'tol' : 1E-12,          # Tolerance in numerical integration
+            'f_type' : 'gaussian',
+            'f_order' : (3, 1),
+        }
+        spline_icsd = icsd.SplineiCSD(**spline_input)
+        csd = spline_icsd.get_csd()
+        
+        self.assertEqual(C_i.units, csd.units)
+        nt.assert_array_almost_equal(C_i, csd, decimal=3)
+
+                
+#def suite(verbosity=2):
+#    '''
+#    Run unittests for the CSD toolbox
+#    
+#    
+#    Arguments
+#    ---------
+#    verbosity : int
+#        verbosity level
+#        
+#    '''
+#    suite = unittest.TestLoader().loadTestsFromTestCase(TestICSD)
+#    unittest.TextTestRunner(verbosity=verbosity).run(suite)
+#    
+#
+#
+#if __name__ == '__main__':
+#    suite()
+
+
+def suite():
+    suite = unittest.makeSuite(TestICSD, 'test')
+    return suite
+
+if __name__ == "__main__":
+    runner = unittest.TextTestRunner(verbosity=2)
+    runner.run(suite())
diff --git a/docs/tutorial/05_opt_extracellular/inputs/virt_spikes.h5 b/docs/tutorial/05_opt_extracellular/inputs/virt_spikes.h5
new file mode 100644
index 00000000..da165786
Binary files /dev/null and b/docs/tutorial/05_opt_extracellular/inputs/virt_spikes.h5 differ
diff --git a/docs/tutorial/05_opt_extracellular/plot_ecp.py b/docs/tutorial/05_opt_extracellular/plot_ecp.py
new file mode 100644
index 00000000..6f715a63
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/plot_ecp.py
@@ -0,0 +1,3 @@
+from bmtk.analyzer.ecp import plot_ecp
+
+_ = plot_ecp(config_file='config.lfp.json', report_name='cortical_electrode')
\ No newline at end of file
diff --git a/docs/tutorial/05_opt_extracellular/run_bionet.lfp.py b/docs/tutorial/05_opt_extracellular/run_bionet.lfp.py
new file mode 100755
index 00000000..78af3307
--- /dev/null
+++ b/docs/tutorial/05_opt_extracellular/run_bionet.lfp.py
@@ -0,0 +1,20 @@
+# -*- coding: utf-8 -*-
+import os, sys
+from bmtk.simulator import bionet
+
+
+def run(config_file):
+    conf = bionet.Config.from_json(config_file, validate=True)
+    conf.build_env()
+
+    graph = bionet.BioNetwork.from_config(conf)
+    sim = bionet.BioSimulator.from_config(conf, network=graph)
+    sim.run()
+    bionet.nrn.quit_execution()
+
+
+if __name__ == '__main__':
+    if __file__ != sys.argv[-1]:
+        run(sys.argv[-1])
+    else:
+        run('/local1/workspace/Notebooks/bmtk-workshop/opt_external_models/config.hay_syns.json')
diff --git a/docs/tutorial/06_opt_hpc_resources/Ch_External_Resources.ipynb b/docs/tutorial/06_opt_hpc_resources/Ch_External_Resources.ipynb
new file mode 100644
index 00000000..6091ec54
--- /dev/null
+++ b/docs/tutorial/06_opt_hpc_resources/Ch_External_Resources.ipynb
@@ -0,0 +1,344 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6a6332d1-d4a2-4461-857c-64f65fb3b666",
+   "metadata": {},
+   "source": [
+    "# External Resources for Large-Scale Network Modeling\n",
+    "\n",
+    "Building, simulating, and analyzing large-scale network models can often be a resource intensive process. Although BMTK can often run simple-to-moderate network models using commerically available hardware - many scientists will find themselves quickly requiring access to High-Performance Computing (HPC) resources when the computational, memory, and/or storage requirements become greater than even the best modern laptops and desktops. When this happens you will have to rely on the resources of you institution's computing resources or even on the many Cloud Computing Platforms.\n",
+    "\n",
+    "Beyond access to higher computing and memory resources, there are other benefits to using Cloud and HPC resources in your workflow! Using a shared environment can improve collaboration and replication, reducing the headaches and pitfalls when every one has to install the software requirements on their own machines.\n",
+    "\n",
+    "In this tutorial we provide a list of tools and resources that neuroscientists can take advantage of.\n",
+    "\n",
+    "**Note** - scripts and files for running this tutorial can be found in the directory [06_opt_hpc_resources/](https://github.com/AllenInstitute/bmtk/tree/develop/docs/tutorial/06_opt_hpc_resources)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7b36a2ec",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## Contents\n",
+    "1. [Neuroscience Gateway (NSG)](#nsg)\n",
+    "\n",
+    "    1.1. [Example: Using NSG to run L4 Model simulations](#example-1)\n",
+    "    \n",
+    "    1.2. [Example: Using NSG for BioNet (eg. NEURON) Simulations](#example-2)\n",
+    "\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0bdf3e5e-4f4f-4a7e-bd2a-fdfed55612f6",
+   "metadata": {},
+   "source": [
+    "## 1. Neuroscience Gateway (NSG) <a class=\"anchor\" id=\"nsg\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e8b4601-23fc-4283-b661-703d4acb45f5",
+   "metadata": {},
+   "source": [
+    "[The Neuroscience Gateway (NSG)](http://www.nsgportal.org/) is an NSF funded project that provides HPC resouces for neuroscienists. It provides access to extensive CPU, GPU, and Memory resources that may not always be available locally. But just as important, NSG includes a wide variety of pre-installed computational neuroscience software that can be used for everything from modeling, data analysis, and even AI and ML applications. For modeling and simulation not only does NSG include BMTK, but also other population tools like NEURON, NEST, Brian, PyNN, NetPyNE, among others. See [https://nsgprod.sdsc.edu:8443/portal2/tools.action](https://nsgprod.sdsc.edu:8443/portal2/tools.action) for a list of available software.\n",
+    "\n",
+    "The Neuroscience Gateway can be accessed in two different ways, either through the Web Portal interface or through the REST API. The focus in this tutorial will be on using the Web Portal."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a00fbcc0-f7ab-4b03-9568-e89fa328e9e3",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "### 1.1. Example: Using NSG to run L4 Model simulations <a class=\"anchor\" id=\"example-1\">\n",
+    "\n",
+    "As an example of how one can utilize NSG running BMTK we will take the [existing Mouse V1 Layer 4 Model](../Ch6_l4model/6.%20More%20Realistic%20Model%20and%20Advanced%20Features.ipynb) network and use it to run simulations of the Expanse computing cluster. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6abab8e1-7d63-47f9-9790-2b3e07dbcc5e",
+   "metadata": {},
+   "source": [
+    "#### Step 1: (Register and) Log-in\n",
+    "\n",
+    "If you are planning to use NSG for your research you will first need to register an account at [https://www.nsgportal.org/gest/reg.php](https://www.nsgportal.org/gest/reg.php). It is freely available to most researchers, educators, and students working in the neuroscience field. \n",
+    "\n",
+    "After you have registered go ahead and log in to the [NSG Portal](https://nsgprod.sdsc.edu:8443/portal2)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d1a49cda-d9e1-48ed-8fa5-56b3c895ad2d",
+   "metadata": {},
+   "source": [
+    "#### Step 2: Packaging the environment files\n",
+    "\n",
+    "We will need to package all necessacary files into a .zip folder to be uploaded to NSG. This will include the run_pointnet.py python script to execute, plus any necessary SONATA and model files."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "3913c8f3-0913-466c-9a8d-ce7143f619ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/bin/sh: 1: zip: not found\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "! cd ../ && zip -rq l4model.zip Ch6_l4model/ "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "896ab6e9-921c-418d-9673-476d9b3dfc4b",
+   "metadata": {},
+   "source": [
+    "#### Step 3: Setting Up an NSG Folder\n",
+    "\n",
+    "1. When you login you will be prompted to \"`Create New Folder`\" that can be used for running BMTK applications. Click on that button, we will give it a \"Label\" of **bmtk_simulations** and an appropiate description:\n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_initial_1.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "2. Navagate to **bmtk_simulations** > **Data** and select the \"`Upload Data`\" button. Provide an appropiate label (we'll use Label **pointnet_l4model**) and click the \"`Choose File`\" button to upload the previously created zip file. Click \"`Save`\" to upload the file.\n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_data_folder_wdata.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b0a5f004-efec-418b-8fbd-4decf57188f9",
+   "metadata": {},
+   "source": [
+    "#### Step 4: Setup and Run Task\n",
+    "\n",
+    "1. Navigate to the **bmtk_simulations** > **Tasks** folder and select \"`Create New Task`\" button.\n",
+    "\n",
+    "2. First give a `Description` for the task - we'll call it **pointnet_l4model`\n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_task_summary_pannel_cropped.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "\n",
+    "3. Under the `Select Data` panel choose the uploaded zip file for with the **pointent_l4model** Label and click \"`Select Data`\"\n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_select_data_panel.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "\n",
+    "4. Under the `Select Tool` panel we select the **Python on Expanse** option\n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_select_tool_panel_highlighted1.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "5. Finally Select the `Set Parameters` Panel to give the run-time parameters. Enter the parameters as specified below and click the \"`Save Parameters`\" button.\n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_set_parameters_panel1.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "  - Set **Max Hours to Run: 1.0** - Depending on the size of the network, the **tstop** and **dt**, and the number of Cores we may have to increase/decrease this value.\n",
+    "  - Unselect **Do you require nrnivmodl compilation** - flag only applies to NEURON (eg. BioNet) applications.\n",
+    "  - Set **Enter Main Input Python Filename: run_pointnet.py** - Entry python script to run.\n",
+    "  - Set **Enter sub-directory name: Ch6_l4model** - This is required since the way we zipped up our data everything is under the *Ch6_l4model/* folder.\n",
+    "  - To speed up the simulation we will run it parallelized using MPI with 8 processs. \n",
+    "      -  Set **Enter Number of Nodes: 1** - Since we are significantly less than the avaialbe cores/memory per node we can benefit from keeping all MPI Tasks on the same node.\n",
+    "      -  Set **Enter Number of MPI Tasks per Node: 8** and **Enter Number of Cores per Node: 8**\n",
+    "      -  Set **Enter Number of GB Memory per Node: 16**\n",
+    "\n",
+    "---\n",
+    "**Notes: Building the Network and LGN Inputs**\n",
+    "\n",
+    "Running the **run_pointnet.py** script requires that the SONATA network files (*network/*) and lgn inputs (*inputs/spikes.gratings.90deg_4Hz.h5*) already exists. If they don't, or you want to re-generate them, you can replace the **Enter Main Input Python Filename:** option with the *build_network.py* or *run_filternet.py* scripts.\n",
+    "\n",
+    "---\n",
+    "\n",
+    "6. Now that you have selected the data, the tool, and the parameters click the \"`Save and Run Task`\" button to submit the task to the HPC."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e3bf8ed6-3d5f-41ce-8a4a-629308ca045d",
+   "metadata": {},
+   "source": [
+    "#### Fetching the Results\n",
+    "\n",
+    "After clickin on `Save and Run Task` the task will be submitted to the NSQ queue. Depending on current HPC usage and the requested resources there may be a delay between the time when a job is submitted and the time the task starts running. You can select the `View Status` button to see the **Status** of the current task.\n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_tasks_panel_filled.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f027d47-1960-488a-a926-8c0a373d4ccf",
+   "metadata": {},
+   "source": [
+    "### 1.2. Example: Using NSG for BioNet (eg. NEURON) Simulations <a class=\"anchor\" id=\"example-2\">\n",
+    "\n",
+    "The above tutorial will work when running *PointNet*, *FilterNet*, *Builder*, or *Analysis* components of BMTK. However running *BioNet* simulations require a slight changes to intialize a task properly since it requires using the NEURON simulation underneath. In this example we will show a how to run a multi-core BioNet simualation using the network generated in [Chapter 3](http://127.0.0.1:8889/lab/tree/bmtk-workshop/Ch3_multicells/3.%20Multipopulation%20biophysical.ipynb) taking note to highlight difference from the example above."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1531052f-e284-462f-9428-5930688fb19f",
+   "metadata": {},
+   "source": [
+    "#### Step 1: Packaging Data\n",
+    "\n",
+    "We first want to package the *Ch3_mutlicells/* folder into a single zip file so it will contain the python scripts and all necessary network and model files to run the full simulation. **HOWEVER** The modfiles stored in the *components/mechanisms/modfiles/* folder need to be moved to the root directory. NSG will need to compile these files before running the simulation and if they are stored under the *components/* sub-directory they will not be found."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "dcca7f4e-9945-48b9-b232-e2f683d630cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cp: cannot stat '../Ch3_multicells': No such file or directory\n",
+      "mv: cannot stat 'Ch3_multicells/components/mechanisms/modfiles/*': No such file or directory\n",
+      "/bin/sh: 1: zip: not found\n"
+     ]
+    }
+   ],
+   "source": [
+    "! cp -r ../Ch3_multicells .\n",
+    "! mv Ch3_multicells/components/mechanisms/modfiles/* Ch3_multicells/\n",
+    "! zip -rq bionet_multicells.zip Ch3_multicells/"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0cdee10f-defa-4ee8-8588-c9ef762860c5",
+   "metadata": {},
+   "source": [
+    "#### Step 2: Uploading the Data\n",
+    "1. Log into NSGPortal and either select `Create New Folder`, or select the existing **bmtk_simulations** folder if it exists.\n",
+    "\n",
+    "2. Under **bmtk_simulations** > **Data** folder select `Upload Data` to upload the created *bionet_multicells.zip* folder with an descriptive Label\n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_alldata_panel_multiple.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b7f06a5-4555-4302-89a9-8c6d51df9f82",
+   "metadata": {},
+   "source": [
+    "#### Step 3: Creating and Submitting a Task\n",
+    "\n",
+    "Under **bmtk_simulations** > **Tasks** select the `Create New Task` button\n",
+    "\n",
+    "1. In the `Task Summary` tab give the task an appropiate description (we'll call it **bionet_multicells**)\n",
+    "\n",
+    "\n",
+    "2. In the `Select Data` tab make sure to select the **bionet_multicell** data we uploaded in the previous step and click `Select Data`.\n",
+    "\n",
+    "\n",
+    "3. In the `Select Tool` tab choose option **NEURON on Expanse** \n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_select_tool_panel_highlighted2.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "4. In the `Set Parameters` tab we can use the following setup, the click `Save Parameters` button.\n",
+    "\n",
+    "<div>\n",
+    "  <img src=\"./_static/_tutorial_images/nsgportal_set_parameters_bionet.png\" width=\"805\" align=\"left\" style=\"margin-left:26px\"/>    \n",
+    "</div>\n",
+    "<br clear=\"left\">\n",
+    "\n",
+    "The following parameters are important\n",
+    "- Make sure the select **Do you required nrnivmodl compilation** in order to compile the .mod file necessacary to run the models\n",
+    "- Set **Enter Main Input Filename: run_bionet.py** as this is the script to execute the BMTK simulation\n",
+    "- Make sure to select **Please click here if your code is in python and not HOC**\n",
+    "- Due to the structure of the zip file we need to set **Enter sub-directory name: Ch3_mutlicells**\n",
+    "\n",
+    "Other settings that can be adjusted:\n",
+    "- For a modest network **Maximum Hours to Run: 0.5** is plenty enough. But for longer simulations or larger networks you may need to increase this value otherwise the job will stop before BMTK has finished.\n",
+    "- We will set **Number of MPI Tasks per Node** and **Number of Cores per Node** to **8**, and **Number of Nodes** to **1** to parallelize the simulation on 8 cores.\n",
+    "- For current network **Number of GB Memory per Node: 32** will suffice.\n",
+    "\n",
+    "\n",
+    "5. Finally select `Save and Run Task` to submit the Task to the queue."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "73619795-4b8b-4ff6-b613-07ab7e419241",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d65754c-315e-4aad-a2d7-a4d0be89d7f3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
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