fig3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import h5py\n",
    "import baobap as bao\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "from input_data import dynamical_regimes\n",
    "from src.plotting import clustering_frequency_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use(\"ggplot\")\n",
    "cmap = plt.get_cmap(\"Accent\")\n",
    "bounds = [-1, 0, 1, 2, 3]\n",
    "norm = matplotlib.colors.BoundaryNorm(bounds, cmap.N)\n",
    "\n",
    "matplotlib.rcParams.update({'figure.dpi': 300,\n",
    "                     'font.size': 14,\n",
    "                     'xtick.labelsize': 12,\n",
    "                     'ytick.labelsize': 12\n",
    "                    })\n",
    "\n",
    "reducedblue = (*cmap(norm(1))[:3], .6)\n",
    "reducedgreen = (*cmap(norm(-1))[:3], .6)\n",
    "reducedgrey = (*cmap(norm(2))[:3], .6)\n",
    "hatches = [\".\", \"\\\\\", \"//\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "figures = \"figures/\"\n",
    "folder = os.path.join(\"simulation_data\", \"existence\")\n",
    "result_file = os.path.join(folder, \"results.hdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# parametrization:\n",
    "Omega = 1. # natural frequency\n",
    "N = 50 # network size\n",
    "P = 2 # neighbourhood size\n",
    "mu = 1. # coupling constant\n",
    "weight = 1. / (2. * P)\n",
    "epsilon = 0.1 # damping constant\n",
    "natural_frequency = np.abs(Omega / epsilon) # lossless natural frequency "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "with h5py.File(result_file, mode='r') as h5f:\n",
    "    times = h5f[\"times\"][:]\n",
    "    brp = bao.init_class_from_hdf5_group(h5f[\"batch_run_parameters\"], bao.BatchRunParameters)\n",
    "    alphas = h5f[\"batch_run_parameters\"][\"alphas\"][:]\n",
    "    coups = h5f[\"batch_run_parameters\"][\"coups\"][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "na = len(alphas)\n",
    "nc = len(coups)\n",
    "alpha0, alpha1, coup0, coup1 = alphas[0], alphas[-1], coups[0], coups[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "rnc = bao.load_field_from_results(result_file, \"res_nc\", number_of_batches=na*nc)\n",
    "rcs = bao.load_field_from_results(result_file, \"res_cs\", number_of_batches=na*nc)\n",
    "rsol_freq = bao.load_field_from_results(result_file, \"sol_freq\", number_of_batches=na*nc)\n",
    "rsol_P = bao.load_field_from_results(result_file, \"sol_P\", number_of_batches=na*nc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create masks to select runs yielding solitary states\n",
    "# might generate warnings due to comparison of NaN values, they can be ignored\n",
    "mask_pm = (rnc == 2) & ~np.isnan(rsol_P) & (np.nan_to_num(rsol_P) > 0) & ~np.isnan(rsol_freq) & (np.nan_to_num(rsol_freq) < 0)\n",
    "mask_pp = (rnc == 2) & ~np.isnan(rsol_P) & (np.nan_to_num(rsol_P) > 0) & ~np.isnan(rsol_freq) & (np.nan_to_num(rsol_freq) > 0)\n",
    "mask_mp = (rnc == 2) & ~np.isnan(rsol_P) & (np.nan_to_num(rsol_P) < 0) & ~np.isnan(rsol_freq) & (np.nan_to_num(rsol_freq) > 0)\n",
    "mask_mm = (rnc == 2) & ~np.isnan(rsol_P) & (np.nan_to_num(rsol_P) < 0) & ~np.isnan(rsol_freq) & (np.nan_to_num(rsol_freq) < 0)\n",
    "mask_sync = (rnc == 1)\n",
    "mask_bimodal = (rnc == 2) & (rcs[:, :, 0] == rcs[:, :, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## infinite busbar results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "## limit cycle level curves\n",
    "def lc_curve(phase_lag, freq, k, mask=True):\n",
    "    if mask is True:\n",
    "        mask = np.isclose(phase_lag, 0, atol=0.005)\n",
    "    else:\n",
    "        mask = None\n",
    "    return np.ma.masked_array(\n",
    "            (1. - k) * freq / (np.sin(phase_lag)),\n",
    "            mask\n",
    "    )\n",
    "\n",
    "## mean field sync limit\n",
    "def sync_curve(phase_lag, freq, mask=None):\n",
    "    return np.ma.masked_array(\n",
    "             2. * abs(freq) / np.cos(phase_lag),\n",
    "            mask\n",
    "    )\n",
    "\n",
    "## homoclinic approximation\n",
    "csc = lambda x: 1. / np.sin(x)\n",
    "def approximation(phase_lag, input_power, mask=None):\n",
    "     return np.ma.masked_array(\n",
    "             - (4 * epsilon * csc(phase_lag)**2 * np.sqrt(np.pi**2 * input_power * np.sin(phase_lag) + 4 * epsilon**2)) / np.pi**2 + (8 * epsilon**2 * csc(phase_lag)**2) / np.pi**2 + input_power * csc(phase_lag),\n",
    "             mask\n",
    "     )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Numerical continuation data from Roman Levchenko"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "exotic = pd.read_csv(\"input_data/area-1.txt\", delimiter='\\t', header=None, names=[\"a\", \"K\"])\n",
    "exotic.a = - exotic.a # the alpha values need a minus sign\n",
    "normal = pd.read_csv(\"input_data/area-2.txt\", delimiter='\\t', header=None, names=[\"a\", \"K\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Producer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = ~ mask_pp & ~ mask_pm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = rsol_freq / natural_frequency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# determine sync gap at K=6 from ASBS\n",
    "asbs = np.mean(~mask, axis=1).reshape(na, nc)\n",
    "boundary_points = alphas[np.where(asbs[-1, :] == 0)[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "def asbsplot(f, ax1, array, mask, vmin=0., vmax=.4, s=65, levels=14, ms=True):\n",
    "\n",
    "    # plot contour lines\n",
    "    arr = np.reshape(array, (na, nc, array.shape[1]))\n",
    "    z = np.nanmean(np.ma.masked_array(arr, np.array(mask)), axis=2)\n",
    "    p = ax1.contour(alphas, weight * coups, z, levels, colors=\"k\", linewidths=1)\n",
    "    l = plt.clabel(p, p.levels[:-3], fontsize=14, inline=1, rightside_up=False, fmt=lambda num: \"{:.0f}\".format(num))\n",
    "    for ll in l:\n",
    "        ll.set_rotation(0)\n",
    "\n",
    "    # plot ASBS\n",
    "    arr = np.reshape(np.ones_like(array), (na, nc, array.shape[1]))\n",
    "    sync_found = np.any(ms.reshape(na, nc, ms.shape[1]), axis=2)\n",
    "    x, y = np.meshgrid(alphas, weight * coups)\n",
    "    z = np.mean(~mask, axis=1).reshape(na, nc)\n",
    "    asbs = np.ma.masked_array(z, ~sync_found)\n",
    "    p = ax1.scatter(x.flatten(), y.flatten(), c=asbs.flatten(), s=s, marker=\"s\", vmin=vmin, vmax=vmax, cmap=plt.get_cmap(\"Oranges\"));\n",
    "\n",
    "    ax1.set_xlabel(r\"$\\alpha$\")\n",
    "    ax1.set_ylabel(r\"$\\overline{K}/\\overline{P}$\", fontsize=16)\n",
    "\n",
    "    ax1.set_xlim([alpha0, alpha1])\n",
    "    ax1.set_ylim([weight * coup0, weight * coup1])\n",
    "    \n",
    "    return p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1417.71x1753.5 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(4.*8.27/7., 11.69/2.), constrained_layout=False)\n",
    "\n",
    "gs = fig.add_gridspec(2, 2, wspace=0.05, hspace=0.3, width_ratios=[1, 0.05], left=0.2, right=0.85, top=0.95)\n",
    "\n",
    "ax1 = fig.add_subplot(gs[0,0])\n",
    "p = asbsplot(fig, ax1, data, mask, levels=14, ms=mask_sync);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add analytic curves\n",
    "alpha_high_res = np.linspace(alphas[0], alphas[-1], num=100*len(alphas), endpoint=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax1.plot(alpha_high_res, weight * lc_curve(alpha_high_res, Omega, 0.), \"c-.\", linewidth=3, label=r\"$k={:.0f}$\".format(0));\n",
    "ax1.plot(alpha_high_res, weight *lc_curve(alpha_high_res, Omega, -3.), \"c-\", linewidth=3, label=r\"$k={:.0f}$\".format(-3));\n",
    "ax1.plot(alpha_high_res, weight *lc_curve(alpha_high_res, Omega, 3.), \"c-\", linewidth=3, label=r\"$k={:.0f}$\".format(3));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add mirrored numerical data\n",
    "ax1.plot(- exotic.a.values, (1./(2.*P +1)) * exotic.K.values, \"-\", c=\"tab:purple\", linewidth=3);\n",
    "ax1.plot(- normal.a.values, (1./(2.*P +1)) * normal.K.values, \"-\", c=\"tab:purple\", linewidth=3);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.01, 0.99, 'a')"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#ax1.text(-0.2, 1, \"a)\", ha='center', va='center', fontsize=15, transform=ax1.transAxes)\n",
    "ax1.text(0.01, 0.99, \"a\", ha='left', va='top', fontsize=18, weight='bold', transform=ax1.transAxes, zorder=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax2 = fig.add_subplot(gs[0,1])\n",
    "cbar = plt.colorbar(cax=ax2, mappable=p, extend=\"max\")\n",
    "cbar.set_label(label=\"ASBS 1-solitary\", fontsize=15)\n",
    "cbar.set_clim(0, .4);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'consumer/producer': 1, 'P/K': 0.16666666666666666, 'D^2/KH': 0.01}"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dr = dynamical_regimes[0]\n",
    "dr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "simulation_data/resubmission/circle/cp_1_PK_0p167_D2KH_0p010\n"
     ]
    }
   ],
   "source": [
    "ax = fig.add_subplot(gs[1,0])\n",
    "\n",
    "max_alpha = 0.3\n",
    "batch_size = 1000.\n",
    "\n",
    "ax.grid(False)\n",
    "ax.set_ylim(0., batch_size)\n",
    "ax.set_xlim(0, max_alpha)\n",
    "ax.axvline(x=0.24, c=\"k\", linestyle=\"-\", linewidth=1, zorder=10)\n",
    "\n",
    "ticks = ax.get_yticks()\n",
    "ax.yaxis.set_ticks_position('both')\n",
    "ax.set_yticklabels([\"{:g}\".format(t/batch_size) for t in ticks])\n",
    "\n",
    "name = (\"cp_{}_PK_{:.3f}_D2KH_{:.3f}\").format(*dr.values()).rstrip('.0').replace(\".\", \"p\") + \"0\"\n",
    "sim_dir = os.path.join(\"simulation_data/resubmission/circle\", name)\n",
    "print(sim_dir)\n",
    "positive_alphas = np.load(os.path.join(sim_dir, \"alphas.npy\"))\n",
    "\n",
    "_, ana = bao.load_state_for_analysis(os.path.join(sim_dir, \"analysis.p\"))\n",
    "result_dir = os.path.join(sim_dir, \"results_ASBS\")\n",
    "result_file = os.path.join(sim_dir, \"results_ASBS.hdf\")\n",
    "\n",
    "number_of_desync, n_clusters, sync, solitary, exotic_solitary, composite, exotic_composite, other = clustering_frequency_data(result_dir, result_file, ana[3])\n",
    "avg_desync = np.mean(number_of_desync, axis=0)\n",
    "\n",
    "stacks = ax.stackplot(positive_alphas, \n",
    "             np.sum(exotic_solitary, axis=0),\n",
    "             np.sum(exotic_composite, axis=0),\n",
    "             np.sum(solitary, axis=0),\n",
    "             np.sum(composite, axis=0),\n",
    "             np.sum(other, axis=0), \n",
    "             np.sum(sync, axis=0), \n",
    "             baseline=\"zero\",\n",
    "             colors=[cmap(norm(-1)), reducedgreen, cmap(norm(1)), reducedblue, reducedgrey, cmap(norm(0))],\n",
    "             edgecolor=\"w\"\n",
    "             )\n",
    "\n",
    "\n",
    "ax.set_ylabel(\"ASBS\")\n",
    "ax.set_xlabel(r\"$\\alpha$\")\n",
    "#ax.text(-0.2, 1, \"b)\", ha='center', va='center', fontsize=15, transform=ax.transAxes)\n",
    "ax.text(0.01, 0.99, \"b\", ha='left', va='top', fontsize=18, weight='bold', transform=ax.transAxes, zorder=10)\n",
    "\n",
    "ax2 = ax.twinx()\n",
    "ax2.set_ylim(0, ana[3].system_size)\n",
    "ax2.yaxis.set_ticks_position('right')\n",
    "ax2.yaxis.set_label_position(\"right\")\n",
    "ax2.spines['right'].set_color(\"tab:purple\")\n",
    "ax2.tick_params(axis='y', colors=\"tab:purple\")\n",
    "ax2.yaxis.label.set_color(\"tab:purple\")\n",
    "ax2.plot(positive_alphas, avg_desync, \"k-\", alpha=1, linewidth=2, color=\"tab:purple\")\n",
    "ax2.set_ylabel(r\"$\\overline{N_d}$\")\n",
    "ax2.grid(False)\n",
    "\n",
    "fig.savefig(os.path.join(figures, \"fig3.pdf\"), bbox_inches = 'tight', pad_inches = 0)"
   ]
  }
 ],
 "metadata": {
  "@webio": {
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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