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iancze committed Dec 9, 2023
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38 changes: 28 additions & 10 deletions _modules/mpol/gridding.html
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Expand Up @@ -888,22 +888,40 @@ <h1>Source code for mpol.gridding</h1><div class="highlight"><pre>
<span class="c1"># make sure we still fit into the grid</span>
<span class="bp">self</span><span class="o">.</span><span class="n">coords</span><span class="o">.</span><span class="n">check_data_fit</span><span class="p">(</span><span class="n">uu</span><span class="p">,</span> <span class="n">vv</span><span class="p">)</span>

<span class="c1"># expand the vectors to include complex conjugates</span>
<span class="n">uu_full</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">uu</span><span class="p">,</span> <span class="o">-</span><span class="n">uu</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">vv_full</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">vv</span><span class="p">,</span> <span class="o">-</span><span class="n">vv</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="c1"># initialize base objects </span>
<span class="c1"># Hermitian conjugates taken care of by @property below</span>
<span class="bp">self</span><span class="o">.</span><span class="n">uu_base</span> <span class="o">=</span> <span class="n">uu</span>
<span class="bp">self</span><span class="o">.</span><span class="n">vv_base</span> <span class="o">=</span> <span class="n">vv</span>
<span class="bp">self</span><span class="o">.</span><span class="n">weight_base</span> <span class="o">=</span> <span class="n">weight</span>
<span class="bp">self</span><span class="o">.</span><span class="n">data_re_base</span> <span class="o">=</span> <span class="n">data_re</span>
<span class="bp">self</span><span class="o">.</span><span class="n">data_im_base</span> <span class="o">=</span> <span class="n">data_im</span>

<span class="c1"># make sure we still fit into the grid (with expansion)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">coords</span><span class="o">.</span><span class="n">check_data_fit</span><span class="p">(</span><span class="n">uu_full</span><span class="p">,</span> <span class="n">vv_full</span><span class="p">)</span>

<span class="bp">self</span><span class="o">.</span><span class="n">uu</span> <span class="o">=</span> <span class="n">uu_full</span>
<span class="bp">self</span><span class="o">.</span><span class="n">vv</span> <span class="o">=</span> <span class="n">vv_full</span>
<span class="bp">self</span><span class="o">.</span><span class="n">weight</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">weight</span><span class="p">,</span> <span class="n">weight</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">data_re</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">data_re</span><span class="p">,</span> <span class="n">data_re</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">data_im</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">data_im</span><span class="p">,</span> <span class="o">-</span><span class="n">data_im</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">coords</span><span class="o">.</span><span class="n">check_data_fit</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">uu</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">vv</span><span class="p">)</span>

<span class="c1"># and register cell indices against data</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_create_cell_indices</span><span class="p">()</span>

<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">uu</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">uu_base</span><span class="p">,</span> <span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">uu_base</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">vv</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">vv_base</span><span class="p">,</span> <span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">vv_base</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">weight</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">weight_base</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">weight_base</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">data_re</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">data_re_base</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_re_base</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">data_im</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">data_im_base</span><span class="p">,</span> <span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">data_im_base</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="k">def</span> <span class="nf">_grid_visibilities</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="n">weighting</span><span class="o">=</span><span class="s2">&quot;uniform&quot;</span><span class="p">,</span>
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2 changes: 1 addition & 1 deletion ci-tutorials/crossvalidation.html
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Expand Up @@ -529,7 +529,7 @@ <h2>Choosing the K-folds<a class="headerlink" href="#choosing-the-k-folds" title
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>650160 visibilities total
</pre></div>
</div>
<img alt="../_images/958bb523be930d0f282c5151c2aebdcf029039966e12db8b01114a1ef58c18f6.png" src="../_images/958bb523be930d0f282c5151c2aebdcf029039966e12db8b01114a1ef58c18f6.png" />
<img alt="../_images/f34fbea9dcc11ccb0a3d62949b861df7b302c57efd98182a0c9ae528bfc6e48a.png" src="../_images/f34fbea9dcc11ccb0a3d62949b861df7b302c57efd98182a0c9ae528bfc6e48a.png" />
</div>
</div>
<p>As you can see, this training set looks very similar to the full dataset, with the same holes in <span class="math notranslate nohighlight">\(u\)</span>,<span class="math notranslate nohighlight">\(v\)</span> coverage and similar sampling densities.</p>
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14 changes: 7 additions & 7 deletions ci-tutorials/fakedata.html
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Expand Up @@ -602,7 +602,7 @@ <h2>Exporting to a Numpy array and setting flux scale<a class="headerlink" href=
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7f72b4bef9d0&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7f4db56f7a60&gt;
</pre></div>
</div>
<img alt="../_images/be79b995a2a50bbef7c7e91994d8e1236259a969198edba72563cf87593c642d.png" src="../_images/be79b995a2a50bbef7c7e91994d8e1236259a969198edba72563cf87593c642d.png" />
Expand All @@ -617,7 +617,7 @@ <h2>Exporting to a Numpy array and setting flux scale<a class="headerlink" href=
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7f72b44b3f70&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7f4db46d7f40&gt;
</pre></div>
</div>
<img alt="../_images/a44fc2c19d14ce07c780c6b36d662170cba0b55b28bb6fd0f4cf9182abdda2e6.png" src="../_images/a44fc2c19d14ce07c780c6b36d662170cba0b55b28bb6fd0f4cf9182abdda2e6.png" />
Expand Down Expand Up @@ -795,9 +795,9 @@ <h2>Making the mock dataset<a class="headerlink" href="#making-the-mock-dataset"
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(1, 325080)
(1, 325080)
[[-1.79780438-1.73162319j 7.41403178+1.48131263j 0.68172034+3.21586958j
... -0.76935132+2.93928442j -1.29920788+1.4254061j
-0.10100563-0.94763065j]]
[[-0.01159151+0.54318067j 10.20341834+1.01167639j 0.58416785-0.59098923j
... -3.12557631-4.09652898j 1.35956506-0.89833262j
0.35132852-0.67053683j]]
</pre></div>
</div>
</div>
Expand Down Expand Up @@ -874,7 +874,7 @@ <h2>Verifying the mock dataset<a class="headerlink" href="#verifying-the-mock-da
</div>
</div>
<div class="cell_output docutils container">
<img alt="../_images/327db68e1d4d4b4d965c7e18d081e6120380c8b926fe53ca3b8e692d2ca84d04.png" src="../_images/327db68e1d4d4b4d965c7e18d081e6120380c8b926fe53ca3b8e692d2ca84d04.png" />
<img alt="../_images/33e005eedf3c86303b60ae3ccf56b98469b1250e7d344c10af2bb5e025fd6405.png" src="../_images/33e005eedf3c86303b60ae3ccf56b98469b1250e7d344c10af2bb5e025fd6405.png" />
</div>
</div>
<p>We can even subtract this on a pixel-by-pixel basis and compare to the original image.</p>
Expand Down Expand Up @@ -905,7 +905,7 @@ <h2>Verifying the mock dataset<a class="headerlink" href="#verifying-the-mock-da
</div>
</div>
<div class="cell_output docutils container">
<img alt="../_images/a335e7ad6e2a175ba8494222554780269dd83932816468a35135aea7bd8bc995.png" src="../_images/a335e7ad6e2a175ba8494222554780269dd83932816468a35135aea7bd8bc995.png" />
<img alt="../_images/a031f9fd3d18e906c836a4d8b761cb577797ecd73b9b672fe683d8d9edc24641.png" src="../_images/a031f9fd3d18e906c836a4d8b761cb577797ecd73b9b672fe683d8d9edc24641.png" />
</div>
</div>
<p>The subtraction revears some interesting artefacts.</p>
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6 changes: 3 additions & 3 deletions ci-tutorials/initializedirtyimage.html
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Expand Up @@ -459,7 +459,7 @@ <h2>Image Setup<a class="headerlink" href="#image-setup" title="Permalink to thi
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7fcba0f30bb0&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7f3b1917fd90&gt;
</pre></div>
</div>
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Figure size 1920x1440 with 0 Axes&gt;
Expand Down Expand Up @@ -558,7 +558,7 @@ <h2>Training Loop<a class="headerlink" href="#training-loop" title="Permalink to
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7fcb94fda130&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7f3b14243310&gt;
</pre></div>
</div>
<img alt="../_images/a7b01ee208da2c6850766253588c09728455a336b72ac0c4de5e5c174cb84e61.png" src="../_images/a7b01ee208da2c6850766253588c09728455a336b72ac0c4de5e5c174cb84e61.png" />
Expand Down Expand Up @@ -593,7 +593,7 @@ <h2>Training Loop<a class="headerlink" href="#training-loop" title="Permalink to
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7fcb94f21a90&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7f3b14188c70&gt;
</pre></div>
</div>
<img alt="../_images/34a9a9c0db71dffeacf1b63ae79ae4de46f83d8aae46be3d698bf6ff318d6791.png" src="../_images/34a9a9c0db71dffeacf1b63ae79ae4de46f83d8aae46be3d698bf6ff318d6791.png" />
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12 changes: 6 additions & 6 deletions ci-tutorials/optimization.html
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Expand Up @@ -574,7 +574,7 @@ <h2>Gradient descent<a class="headerlink" href="#gradient-descent" title="Permal
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7fd9d8dba6d0&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7efbc6c3bd60&gt;
</pre></div>
</div>
<img alt="../_images/a22504f6df41e5156e9d931c07df951232ae52bc8134c7f62371b347bbeabf5e.png" src="../_images/a22504f6df41e5156e9d931c07df951232ae52bc8134c7f62371b347bbeabf5e.png" />
Expand Down Expand Up @@ -671,7 +671,7 @@ <h2>Gradient descent<a class="headerlink" href="#gradient-descent" title="Permal
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7fd9d459cca0&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7efbc43731c0&gt;
</pre></div>
</div>
<img alt="../_images/cc08ac013e4d1302828d6182b0cbdc8e1bd0b754c201d23e801394ac99050b6e.png" src="../_images/cc08ac013e4d1302828d6182b0cbdc8e1bd0b754c201d23e801394ac99050b6e.png" />
Expand Down Expand Up @@ -728,7 +728,7 @@ <h2>Gradient descent<a class="headerlink" href="#gradient-descent" title="Permal
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7fd9d446ba90&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7efbc4287040&gt;
</pre></div>
</div>
<img alt="../_images/87d3f9f450266b13d76a233cc18fdbd414d36639350fafb5d5dce309c3cee5c5.png" src="../_images/87d3f9f450266b13d76a233cc18fdbd414d36639350fafb5d5dce309c3cee5c5.png" />
Expand Down Expand Up @@ -765,8 +765,8 @@ <h2>Iterating the training Loop<a class="headerlink" href="#iterating-the-traini
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 18.7 s, sys: 2.68 s, total: 21.4 s
Wall time: 11.4 s
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 18.3 s, sys: 2.77 s, total: 21 s
Wall time: 11.2 s
</pre></div>
</div>
</div>
Expand Down Expand Up @@ -811,7 +811,7 @@ <h2>Visualizing the image<a class="headerlink" href="#visualizing-the-image" tit
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7fd9d6fd0be0&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.colorbar.Colorbar at 0x7efbc4def2b0&gt;
</pre></div>
</div>
<img alt="../_images/d6504f8658d9cebd116783bd607d36f77ef3f2041afe8be9145eaa160a5afcd9.png" src="../_images/d6504f8658d9cebd116783bd607d36f77ef3f2041afe8be9145eaa160a5afcd9.png" />
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2 changes: 1 addition & 1 deletion searchindex.js
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