docs and other non-code fixes

mikekatz04 · Aug 20, 2024 · 1c1b5c3 · 1c1b5c3
1 parent 72e6175
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diff --git a/README.md b/README.md
@@ -33,7 +33,7 @@ To install this software for use with NVIDIA GPUs (compute capability >2.0), you
 
 ### Installing
 
-To install with pip (for CPUs only currently):
+To install with pip (for CPUs only currently) (need GSL and lapack on your path. We recommend to do this with conda):
 ```
 pip install bbhx
 ```
@@ -45,11 +45,11 @@ To install from source:
 1) Clone the repository.
 
 ```
-git clone https://github.com/BlackHolePerturbationToolkit/FastEMRIWaveforms.git
-cd FastEMRIWaveforms
+git clone https://github.com/mikekatz04/BBHx.git
+cd BBHx
 ```
 
-2) Installation is made easy through [install.sh](install.sh). This is a bash script that will create a conda environment, install bbhx, run tests, and install any additional packages needed for sampling or development. It will look for an `nvcc` binary, the `CUDA_HOME` variable, or the `CUDAHOME` variable. If it finds that information, it will install for CUDA as well (including installing the proper version of `cupy`). **Note**: If you already have performed installation and you are updating bbhx after a `git pull`, then run `pip install .` rather than the following command.
+2) Installation is made easy through [install.sh](install.sh). This is a bash script that will create a conda environment, install bbhx, run tests, and install any additional packages needed for sampling or development. It will look for an `nvcc` binary, the `CUDA_HOME` variable, or the `CUDAHOME` variable. If it finds that information, it will install for CUDA as well (including installing the proper version of `cupy`). **Note**: If you already have performed installation and you are updating bbhx after a `git pull`, then run `python scripts/prebuild.py` followed by `pip install .` rather than the following command.
 
   ```
   bash install.sh
@@ -97,16 +97,17 @@ git clone https://mikekatz04.github.io/BBHx.git
 cd BBHx
 ```
 
-3) If using GPUs, use pip to [install cupy](https://docs-cupy.chainer.org/en/stable/install.html). If you have cuda version 9.2, for example:
+3) If using GPUs, use pip to [install cupy](https://docs-cupy.chainer.org/en/stable/install.html). If you have cuda version 12.1, for example:
 
 ```
-pip install cupy-cuda92
+pip install cupy-cuda12x
 ```
 
 4) Run install. Make sure CUDA is on your PATH or `CUDAHOME` variable is set to the path to nvcc and other CUDA files.
 
 ```
-python setup.py install
+python scripts/prebuild.py
+pip install .
 ```
 
 

diff --git a/bbhx/response/fastfdresponse.py b/bbhx/response/fastfdresponse.py
@@ -46,6 +46,13 @@ class LISATDIResponse:
         TDItag (str, optional): TDI channels to generate. Options are ``"XYZ"`` and
             ``"AET"``. If ``"XYZ"`` is not given, it will default to ``"AET"``.
             (Default: ``"AET"``)
+        orbits (Orbits, optional): Orbit class. If ``None``, orbits is set to
+            :class:`EqualArmlengthOrbits`. (Default: ``None``)
+        rescaled (bool, optional): If ``True``, rescale TDI functions to avoid
+            infinities at high frequency. (Default: ``False``)
+        tdi2 (bool, optional): If ``True``, apply a factor of :math:`-2i \\sin{(4x)}e^{i4x})`
+            to tdi1 output. This is a conversion from TDI 1 to TDI 2 under the assumption of equal armlengt orbits.
+            (Default: ``False``)
         order_fresnel_stencil (int, optional): Order of the Fresnel stencil in the
             response. Currently, anything above 0 is not implemented. This is left
             in for future compatibility. (Default: ``0``)
@@ -68,7 +75,7 @@ class LISATDIResponse:
     def __init__(
         self,
         TDItag="AET",
-        orbits: Orbits = None,
+        orbits: Orbits | None = None,
         rescaled: bool = False,
         tdi2: bool = False,
         order_fresnel_stencil=0,

diff --git a/docs/doctrees/README.doctree b/docs/doctrees/README.doctree
diff --git a/docs/doctrees/bbhx_tutorial.doctree b/docs/doctrees/bbhx_tutorial.doctree
diff --git a/docs/doctrees/environment.pickle b/docs/doctrees/environment.pickle
diff --git a/docs/doctrees/index.doctree b/docs/doctrees/index.doctree
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial.ipynb b/docs/doctrees/nbsphinx/bbhx_tutorial.ipynb
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_10_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_10_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_13_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_13_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_16_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_16_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_19_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_19_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_22_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_22_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_24_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_24_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_27_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_27_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_29_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_29_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_32_2.png b/docs/doctrees/nbsphinx/bbhx_tutorial_32_2.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_34_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_34_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_40_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_40_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_43_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_43_1.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_44_2.png b/docs/doctrees/nbsphinx/bbhx_tutorial_44_2.png
diff --git a/docs/doctrees/nbsphinx/bbhx_tutorial_7_1.png b/docs/doctrees/nbsphinx/bbhx_tutorial_7_1.png
diff --git a/docs/doctrees/user/response.doctree b/docs/doctrees/user/response.doctree
diff --git a/docs/html/README.html b/docs/html/README.html
@@ -149,7 +149,8 @@ <h2>Prerequisites<a class="headerlink" href="#prerequisites" title="Link to this
 </section>
 <section id="installing">
 <h2>Installing<a class="headerlink" href="#installing" title="Link to this heading"></a></h2>
-<p>To install with pip (for CPUs only currently):</p>
+<p>To install with pip (for CPUs only currently) (need GSL and lapack on
+your path. We recommend to do this with conda):</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">pip</span> <span class="n">install</span> <span class="n">bbhx</span>
 </pre></div>
 </div>
@@ -159,8 +160,8 @@ <h2>Installing<a class="headerlink" href="#installing" title="Link to this headi
 you do not have it.</p></li>
 <li><p>Clone the repository.</p></li>
 </ol>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">BlackHolePerturbationToolkit</span><span class="o">/</span><span class="n">FastEMRIWaveforms</span><span class="o">.</span><span class="n">git</span>
-<span class="n">cd</span> <span class="n">FastEMRIWaveforms</span>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">mikekatz04</span><span class="o">/</span><span class="n">BBHx</span><span class="o">.</span><span class="n">git</span>
+<span class="n">cd</span> <span class="n">BBHx</span>
 </pre></div>
 </div>
 <ol class="arabic simple" start="2">
@@ -172,7 +173,8 @@ <h2>Installing<a class="headerlink" href="#installing" title="Link to this headi
 it will install for CUDA as well (including installing the proper
 version of <code class="docutils literal notranslate"><span class="pre">cupy</span></code>). <strong>Note</strong>: If you already have performed
 installation and you are updating bbhx after a <code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">pull</span></code>, then run
-<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">.</span></code> rather than the following command.</p></li>
+<code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">scripts/prebuild.py</span></code> followed by <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">.</span></code> rather
+than the following command.</p></li>
 </ol>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">bash</span> <span class="n">install</span><span class="o">.</span><span class="n">sh</span>
 </pre></div>
@@ -224,16 +226,17 @@ <h2>More Customized Install (legacy)<a class="headerlink" href="#more-customized
 <ol class="arabic simple" start="3">
 <li><p>If using GPUs, use pip to <a class="reference external" href="https://docs-cupy.chainer.org/en/stable/install.html">install
 cupy</a>. If
-you have cuda version 9.2, for example:</p></li>
+you have cuda version 12.1, for example:</p></li>
 </ol>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">pip</span> <span class="n">install</span> <span class="n">cupy</span><span class="o">-</span><span class="n">cuda92</span>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">pip</span> <span class="n">install</span> <span class="n">cupy</span><span class="o">-</span><span class="n">cuda12x</span>
 </pre></div>
 </div>
 <ol class="arabic simple" start="4">
 <li><p>Run install. Make sure CUDA is on your PATH or <code class="docutils literal notranslate"><span class="pre">CUDAHOME</span></code> variable
 is set to the path to nvcc and other CUDA files.</p></li>
 </ol>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">install</span>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">scripts</span><span class="o">/</span><span class="n">prebuild</span><span class="o">.</span><span class="n">py</span>
+<span class="n">pip</span> <span class="n">install</span> <span class="o">.</span>
 </pre></div>
 </div>
 <p>When installing lapack and gsl, the setup file will default to assuming

diff --git a/docs/html/_images/bbhx_tutorial_10_1.png b/docs/html/_images/bbhx_tutorial_10_1.png
diff --git a/docs/html/_images/bbhx_tutorial_13_1.png b/docs/html/_images/bbhx_tutorial_13_1.png
diff --git a/docs/html/_images/bbhx_tutorial_16_1.png b/docs/html/_images/bbhx_tutorial_16_1.png
diff --git a/docs/html/_images/bbhx_tutorial_19_1.png b/docs/html/_images/bbhx_tutorial_19_1.png
diff --git a/docs/html/_images/bbhx_tutorial_22_1.png b/docs/html/_images/bbhx_tutorial_22_1.png
diff --git a/docs/html/_images/bbhx_tutorial_24_1.png b/docs/html/_images/bbhx_tutorial_24_1.png
diff --git a/docs/html/_images/bbhx_tutorial_27_1.png b/docs/html/_images/bbhx_tutorial_27_1.png
diff --git a/docs/html/_images/bbhx_tutorial_29_1.png b/docs/html/_images/bbhx_tutorial_29_1.png
diff --git a/docs/html/_images/bbhx_tutorial_32_2.png b/docs/html/_images/bbhx_tutorial_32_2.png
diff --git a/docs/html/_images/bbhx_tutorial_34_1.png b/docs/html/_images/bbhx_tutorial_34_1.png
diff --git a/docs/html/_images/bbhx_tutorial_40_1.png b/docs/html/_images/bbhx_tutorial_40_1.png
diff --git a/docs/html/_images/bbhx_tutorial_43_1.png b/docs/html/_images/bbhx_tutorial_43_1.png
diff --git a/docs/html/_images/bbhx_tutorial_44_2.png b/docs/html/_images/bbhx_tutorial_44_2.png
diff --git a/docs/html/_images/bbhx_tutorial_7_1.png b/docs/html/_images/bbhx_tutorial_7_1.png
diff --git a/docs/html/_sources/README.rst.txt b/docs/html/_sources/README.rst.txt
@@ -71,7 +71,8 @@ it as the ``CUDAHOME`` environment variable.
 Installing
 ~~~~~~~~~~
 
-To install with pip (for CPUs only currently):
+To install with pip (for CPUs only currently) (need GSL and lapack on
+your path. We recommend to do this with conda):
 
 ::
 
@@ -86,8 +87,8 @@ To install from source:
 
 ::
 
-   git clone https://github.com/BlackHolePerturbationToolkit/FastEMRIWaveforms.git
-   cd FastEMRIWaveforms
+   git clone https://github.com/mikekatz04/BBHx.git
+   cd BBHx
 
 2) Installation is made easy through `install.sh <install.sh>`__. This
    is a bash script that will create a conda environment, install bbhx,
@@ -97,7 +98,8 @@ To install from source:
    it will install for CUDA as well (including installing the proper
    version of ``cupy``). **Note**: If you already have performed
    installation and you are updating bbhx after a ``git pull``, then run
-   ``pip install .`` rather than the following command.
+   ``python scripts/prebuild.py`` followed by ``pip install .`` rather
+   than the following command.
 
 ::
 
@@ -154,18 +156,19 @@ More Customized Install (legacy)
 
 3) If using GPUs, use pip to `install
    cupy <https://docs-cupy.chainer.org/en/stable/install.html>`__. If
-   you have cuda version 9.2, for example:
+   you have cuda version 12.1, for example:
 
 ::
 
-   pip install cupy-cuda92
+   pip install cupy-cuda12x
 
 4) Run install. Make sure CUDA is on your PATH or ``CUDAHOME`` variable
    is set to the path to nvcc and other CUDA files.
 
 ::
 
-   python setup.py install
+   python scripts/prebuild.py
+   pip install .
 
 When installing lapack and gsl, the setup file will default to assuming
 lib and include for both are in installed within the conda environment.

diff --git a/docs/html/_sources/bbhx_tutorial.ipynb.txt b/docs/html/_sources/bbhx_tutorial.ipynb.txt
diff --git a/docs/html/bbhx_tutorial.html b/docs/html/bbhx_tutorial.html
@@ -621,29 +621,35 @@ <h2>The <code class="docutils literal notranslate"><span class="pre">fill</span>
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-[array([[ 3.38058890e-18-1.09436679e-18j, -1.36063812e-18-3.36650411e-18j,
-        -3.27697582e-18+1.60878942e-18j, ...,
-        -3.43530029e-29-1.80550806e-29j,  1.19848650e-29-3.57844517e-29j,
-         2.23006336e-29-2.91388205e-29j],
-       [-9.88092867e-19-2.88388847e-18j, -2.74455381e-18+1.31741168e-18j,
-         1.62653861e-18+2.84693895e-18j, ...,
-        -1.97400736e-29+3.94799296e-29j, -4.10976688e-29-1.28637749e-29j,
-        -3.38496614e-29-2.48787469e-29j],
-       [ 7.29887936e-27-1.09803303e-26j, -1.09724706e-26-6.64830081e-27j,
-        -5.11202150e-27+1.12523708e-26j, ...,
-        -1.65111210e-29+3.34877145e-29j, -3.46173012e-29-1.06059222e-29j,
-        -2.84210804e-29-2.06049260e-29j]]), array([[ 1.25216176e-20-2.46214907e-21j, -8.87945399e-21+9.24349867e-21j,
-         1.61003809e-21-1.27731637e-20j, ...,
-        -3.53152025e-33+8.07884312e-33j, -4.35663897e-34+9.15888477e-33j,
-        -7.14789793e-33+6.24923057e-33j],
-       [ 9.28976840e-21-3.51398904e-21j, -5.69419538e-21+8.11732916e-21j,
-        -1.42705238e-22-9.89856348e-21j, ...,
-        -2.08257724e-32-3.33800772e-33j, -2.12306482e-32+4.12769150e-33j,
-        -1.78874051e-32-1.29367715e-32j],
-       [-5.54876322e-30-4.23532594e-29j,  2.94039261e-29+3.16966838e-29j,
-        -4.30806134e-29-7.70211333e-30j, ...,
-        -6.93268338e-35-2.52898780e-34j, -1.78240084e-34-2.34865974e-34j,
-         4.63485085e-35-3.26293837e-34j]])] [0 0] [7274 8466]
+[array([[-5.17689020e-019+3.10716143e-018j,
+         3.09513055e-018+2.22650263e-019j,
+        -8.91078695e-020-3.29350134e-018j, ...,
+        -4.58978912e-313+2.10347829e-312j,
+        -1.43224624e-312-8.85778293e-314j,
+        -3.51814680e-313-1.48532253e-313j],
+       [ 3.45314862e-018+1.37751740e-019j,
+        -1.51344982e-019-3.58801144e-018j,
+        -3.63632794e-018+3.19022787e-019j, ...,
+        -4.53209462e-313-2.39957146e-312j,
+         1.53458988e-312-5.42388822e-313j,
+         4.33149031e-313-8.73912553e-316j],
+       [-6.17870919e-027+1.16246055e-026j,
+         1.15484747e-026+5.54204573e-027j,
+         3.91668155e-027-1.17353039e-026j, ...,
+         2.48588438e-317-1.80190682e-318j,
+         3.71317506e-318+1.61919047e-317j,
+        -4.95404564e-319+4.39307362e-318j]]), array([[-1.46307937e-20+2.98547626e-21j,  1.03837288e-20-1.07606328e-20j,
+        -2.04441355e-21+1.48353878e-20j, ...,
+         0.00000000e+00+0.00000000e+00j,  0.00000000e+00+0.00000000e+00j,
+         0.00000000e+00+0.00000000e+00j],
+       [ 6.21053657e-21+2.19538800e-22j, -5.20529795e-21+3.46087593e-21j,
+         2.05916800e-21-5.94272708e-21j, ...,
+         0.00000000e+00+0.00000000e+00j,  0.00000000e+00+0.00000000e+00j,
+         0.00000000e+00+0.00000000e+00j],
+       [ 1.55702320e-30+4.26836288e-29j, -2.62630156e-29-3.43400870e-29j,
+         4.21387291e-29+1.18023535e-29j, ...,
+         0.00000000e+00+0.00000000e+00j,  0.00000000e+00+0.00000000e+00j,
+         0.00000000e+00+0.00000000e+00j]])] [0 0] [7274 8466]
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -722,6 +728,8 @@ <h1>Generating PhenomHM waveforms<a class="headerlink" href="#Generating-PhenomH
 <span class="n">dist</span> <span class="o">=</span> <span class="mf">18e3</span>  <span class="o">*</span> <span class="n">PC_SI</span> <span class="o">*</span> <span class="mf">1e6</span> <span class="c1"># 3e3 in Mpc</span>
 <span class="n">t_ref</span> <span class="o">=</span> <span class="mf">0.0</span>
 
+<span class="n">modes</span> <span class="o">=</span> <span class="p">[(</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">),</span> <span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">),</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">3</span><span class="p">)]</span>
+
 <span class="n">phenomhm</span><span class="p">(</span>
     <span class="n">m1</span><span class="p">,</span>
     <span class="n">m2</span><span class="p">,</span>
@@ -731,7 +739,8 @@ <h1>Generating PhenomHM waveforms<a class="headerlink" href="#Generating-PhenomH
     <span class="n">phi_ref</span><span class="p">,</span>
     <span class="n">f_ref</span><span class="p">,</span>
     <span class="n">t_ref</span><span class="p">,</span>
-    <span class="mi">1024</span>
+    <span class="mi">1024</span><span class="p">,</span>
+    <span class="n">modes</span><span class="o">=</span><span class="n">modes</span>
 <span class="p">)</span>
 
 <span class="c1"># get important quantities</span>
@@ -762,7 +771,7 @@ <h1>Generating PhenomHM waveforms<a class="headerlink" href="#Generating-PhenomH
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x1477470e0&gt;
+&lt;matplotlib.legend.Legend at 0x133c67590&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -977,9 +986,9 @@ <h1>Fast FD Response<a class="headerlink" href="#Fast-FD-Response" title="Link t
 [ 2.59987559e-12  7.38281574e+04 -1.44109019e+09  0.00000000e+00
   0.00000000e+00  0.00000000e+00  0.00000000e+00  0.00000000e+00
   0.00000000e+00]
-[ 2.59987559e-12  7.38281579e+04 -1.44109019e+09 -1.19852960e-07
- -1.27213427e-07  2.47978234e-07 -6.83021491e-08  1.66473821e-18
-  3.80562821e-19]
+[ 2.59987559e-12  7.38281579e+04 -1.44109019e+09 -0.00000000e+00
+  0.00000000e+00 -0.00000000e+00  0.00000000e+00  0.00000000e+00
+  0.00000000e+00]
 </pre></div></div>
 </div>
 </section>
@@ -1066,12 +1075,12 @@ <h2>Computing the log-Likelihood for MBHBs directly against the Fourier transfor
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-[ -1.08564575  -9.78986947  -0.83013822  -6.42756082 -10.39568583
-  -0.18793697  -0.36347664  -2.63434773  -1.16255004  -5.76160463] [905148.57604934 -692.56805835j 905106.21592967-2083.93242728j
- 905180.22834893 +605.58849218j 905119.1749811 -1687.25495497j
- 905104.06618791-2147.74363854j 905159.25598343 -288.09476858j
- 905175.73869922 +400.67391197j 905137.67572526-1079.22170972j
- 905182.58375341 +716.70964209j 905122.0191435 -1597.2112494j ]
+[-0.56231853 -5.04761453 -0.43127672 -3.31971965 -5.35832732 -0.09739732
+ -0.18954596 -1.36331031 -0.60341271 -2.97678974] [2985.9975537  -43.59816508j 2980.25281946-130.79576009j
+ 2987.35839562 +38.14301663j 2982.33350447-106.01475564j
+ 2979.8858162 -134.77467888j 2986.84026896 -18.14336574j
+ 2987.40200313 +25.23793256j 2984.84036964 -67.89881176j
+ 2987.29428656 +45.1395584j  2982.75720639-100.37933708j]
 </pre></div></div>
 </div>
 <p>You can also phase marginalize. This occurs in the <span class="math notranslate nohighlight">\(\langle d|h \rangle\)</span> term in the Likelihood.</p>
@@ -1091,16 +1100,16 @@ <h2>Computing the log-Likelihood for MBHBs directly against the Fourier transfor
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-[[ -1.08564575  -0.820689  ]
- [ -9.78986947  -7.39083137]
- [ -0.83013822  -0.62756123]
- [ -6.42756082  -4.85493541]
- [-10.39568583  -7.84747264]
- [ -0.18793697  -0.14208946]
- [ -0.36347664  -0.27479797]
- [ -2.63434773  -1.9909544 ]
- [ -1.16255004  -0.87881025]
- [ -5.76160463  -4.35235718]]
+[[-0.56231853 -0.2440499 ]
+ [-5.04761453 -2.17884767]
+ [-0.43127672 -0.18777891]
+ [-3.31971965 -1.43603024]
+ [-5.35832732 -2.31208066]
+ [-0.09739732 -0.04229248]
+ [-0.18954596 -0.08294131]
+ [-1.36331031 -0.59113294]
+ [-0.60341271 -0.26239116]
+ [-2.97678974 -1.28822454]]
 </pre></div></div>
 </div>
 <p>You can also return the signal-to-noise ratio: <span class="math notranslate nohighlight">\(\langle d|h \rangle / \sqrt{\langle h|h \rangle}\)</span>.</p>
@@ -1121,16 +1130,16 @@ <h2>Computing the log-Likelihood for MBHBs directly against the Fourier transfor
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-[[-1.08564575e+00  9.51401198e+02]
- [-9.78986947e+00  9.51392050e+02]
- [-8.30138221e-01  9.51401467e+02]
- [-6.42756082e+00  9.51395584e+02]
- [-1.03956858e+01  9.51391414e+02]
- [-1.87936968e-01  9.51402142e+02]
- [-3.63476644e-01  9.51401957e+02]
- [-2.63434773e+00  9.51399571e+02]
- [-1.16255004e+00  9.51401118e+02]
- [-5.76160463e+00  9.51396284e+02]]
+[[-0.56231853 54.64508567]
+ [-5.04761453 54.56297366]
+ [-0.43127672 54.64748678]
+ [-3.31971965 54.59461168]
+ [-5.35832732 54.55728389]
+ [-0.09739732 54.6535931 ]
+ [-0.18954596 54.65190792]
+ [-1.36331031 54.630426  ]
+ [-0.60341271 54.64433873]
+ [-2.97678974 54.60089008]]
 </pre></div></div>
 </div>
 </section>
@@ -1172,16 +1181,16 @@ <h2>Heterodyned Likelihoods<a class="headerlink" href="#Heterodyned-Likelihoods"
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-[[ -1.08564575  -1.02679107]
- [ -9.78986947  -9.10891033]
- [ -0.83013822  -0.76848715]
- [ -6.42756082  -5.98933239]
- [-10.39568583  -9.67090151]
- [ -0.18793697  -0.18846779]
- [ -0.36347664  -0.33934525]
- [ -2.63434773  -2.46732275]
- [ -1.16255004  -1.07485673]
- [ -5.76160463  -5.37128679]]
+[[ -0.56231853  -7.54937845]
+ [ -5.04761453 -11.93909684]
+ [ -0.43127672  -7.43406949]
+ [ -3.31971965 -10.24724956]
+ [ -5.35832732 -12.2433316 ]
+ [ -0.09739732  -7.09670385]
+ [ -0.18954596  -7.19381899]
+ [ -1.36331031  -8.33231868]
+ [ -0.60341271  -7.60479998]
+ [ -2.97678974  -9.91150227]]
 </pre></div></div>
 </div>
 </section>

diff --git a/docs/html/bbhx_tutorial.ipynb b/docs/html/bbhx_tutorial.ipynb