diff --git a/factory_jones.ipynb b/factory_jones.ipynb
index 5c76464..cbdaf35 100644
--- a/factory_jones.ipynb
+++ b/factory_jones.ipynb
@@ -277,7 +277,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[\u001b[38;2;128;05;128m2025-02-06 13:23:35,077\u001b[0m] \u001b[38;2;50;50;205m    INFO\u001b[0m\u001b[38;2;112;128;144m    viperlog: \u001b[0m Module path: \u001b[38;2;50;50;205m/home/mystletainn/Development/calviper/src/calviper\u001b[0m \n"
+      "[\u001b[38;2;128;05;128m2025-02-07 11:53:46,623\u001b[0m] \u001b[38;2;50;50;205m    INFO\u001b[0m\u001b[38;2;112;128;144m    viperlog: \u001b[0m Module path: \u001b[38;2;50;50;205m/home/mystletainn/Development/calviper/src/calviper\u001b[0m \n"
      ]
     }
    ],
@@ -692,29 +692,29 @@
        "    MATRIX        (time, baseline_id, frequency, p, q) complex64 11MB (1+0j) ...\n",
        "Attributes:\n",
        "    calibration_type:  gain\n",
-       "    observation_info:  {&#x27;observer&#x27;: [&#x27;lknee&#x27;], &#x27;project&#x27;: &#x27;uid://A002/X1f841f...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-451ad774-1ba5-4293-9500-e47f32056364' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-451ad774-1ba5-4293-9500-e47f32056364' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 957</li><li><span class='xr-has-index'>antenna</span>: 9</li><li><span class='xr-has-index'>frequency</span>: 8</li><li><span class='xr-has-index'>polarization</span>: 2</li><li><span class='xr-has-index'>scan_id</span>: 957</li><li><span class='xr-has-index'>baseline_id</span>: 45</li><li><span>p</span>: 2</li><li><span>q</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b1b92935-a424-4ebd-8abc-e1eda67f95cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b1b92935-a424-4ebd-8abc-e1eda67f95cc' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.503e+09 1.503e+09 ... 1.503e+09</div><input id='attrs-6b92a12d-9413-4438-90e2-3d961cd1f7ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b92a12d-9413-4438-90e2-3d961cd1f7ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c284c5c7-c6a0-40b8-beb9-f4f470b9adf4' class='xr-var-data-in' type='checkbox'><label for='data-c284c5c7-c6a0-40b8-beb9-f4f470b9adf4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.503204e+09, 1.503204e+09, 1.503204e+09, ..., 1.503211e+09,\n",
-       "       1.503211e+09, 1.503211e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>antenna</span></div><div class='xr-var-dims'>(antenna)</div><div class='xr-var-dtype'>&lt;U9</div><div class='xr-var-preview xr-preview'>&#x27;DA41_A110&#x27; ... &#x27;DA49_A127&#x27;</div><input id='attrs-be4229f5-9a14-4ae5-901b-50588f4a4838' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be4229f5-9a14-4ae5-901b-50588f4a4838' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cda04b4-ed39-48ad-9e5a-a2a847251240' class='xr-var-data-in' type='checkbox'><label for='data-7cda04b4-ed39-48ad-9e5a-a2a847251240' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DA41_A110&#x27;, &#x27;DA42_A123&#x27;, &#x27;DA43_A115&#x27;, &#x27;DA44_A120&#x27;, &#x27;DA45_A091&#x27;,\n",
-       "       &#x27;DA46_A129&#x27;, &#x27;DA47_A074&#x27;, &#x27;DA48_A070&#x27;, &#x27;DA49_A127&#x27;], dtype=&#x27;&lt;U9&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>frequency</span></div><div class='xr-var-dims'>(frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.607e+10 8.61e+10 ... 8.629e+10</div><input id='attrs-fcb05748-5147-49f8-97c2-f8937cb2410b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fcb05748-5147-49f8-97c2-f8937cb2410b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c528c82e-66c0-4499-a3c8-3faa32522fb2' class='xr-var-data-in' type='checkbox'><label for='data-c528c82e-66c0-4499-a3c8-3faa32522fb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8.607155e+10, 8.610280e+10, 8.613405e+10, 8.616530e+10, 8.619655e+10,\n",
-       "       8.622780e+10, 8.625905e+10, 8.629030e+10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>polarization</span></div><div class='xr-var-dims'>(polarization)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27;</div><input id='attrs-de038ae5-0187-428e-91ee-4644656cb2dc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de038ae5-0187-428e-91ee-4644656cb2dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb0dcb61-e1cb-4ee7-bae5-7b7ef35be933' class='xr-var-data-in' type='checkbox'><label for='data-bb0dcb61-e1cb-4ee7-bae5-7b7ef35be933' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scan_id</span></div><div class='xr-var-dims'>(scan_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2 2 2 2 2 2 2 ... 26 26 26 26 26 26</div><input id='attrs-b3544aae-9f3c-4747-a03f-e4f20af3bad7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3544aae-9f3c-4747-a03f-e4f20af3bad7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95fd156f-844b-4d45-b85f-48d0ebc3e411' class='xr-var-data-in' type='checkbox'><label for='data-95fd156f-844b-4d45-b85f-48d0ebc3e411' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 2,  2,  2, ..., 26, 26, 26])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>baseline_id</span></div><div class='xr-var-dims'>(baseline_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 39 40 41 42 43 44</div><input id='attrs-b611c9f0-fe7a-430a-a89f-5d4caad1f971' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b611c9f0-fe7a-430a-a89f-5d4caad1f971' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1899c0c8-4344-48b1-a8f5-966289bdd498' class='xr-var-data-in' type='checkbox'><label for='data-1899c0c8-4344-48b1-a8f5-966289bdd498' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "    observation_info:  {&#x27;observer&#x27;: [&#x27;lknee&#x27;], &#x27;project&#x27;: &#x27;uid://A002/X1f841f...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9dfbb85f-849f-4f04-b97d-2ef9dc95c2cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9dfbb85f-849f-4f04-b97d-2ef9dc95c2cb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 957</li><li><span class='xr-has-index'>antenna</span>: 9</li><li><span class='xr-has-index'>frequency</span>: 8</li><li><span class='xr-has-index'>polarization</span>: 2</li><li><span class='xr-has-index'>scan_id</span>: 957</li><li><span class='xr-has-index'>baseline_id</span>: 45</li><li><span>p</span>: 2</li><li><span>q</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fd15c430-de17-4e90-a118-06ac906ddd2f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd15c430-de17-4e90-a118-06ac906ddd2f' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.503e+09 1.503e+09 ... 1.503e+09</div><input id='attrs-727634d3-eb17-45fb-a5a6-8e090b564037' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-727634d3-eb17-45fb-a5a6-8e090b564037' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e6ddebd-f56e-4821-aee9-f90012d7fbd7' class='xr-var-data-in' type='checkbox'><label for='data-5e6ddebd-f56e-4821-aee9-f90012d7fbd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.503204e+09, 1.503204e+09, 1.503204e+09, ..., 1.503211e+09,\n",
+       "       1.503211e+09, 1.503211e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>antenna</span></div><div class='xr-var-dims'>(antenna)</div><div class='xr-var-dtype'>&lt;U9</div><div class='xr-var-preview xr-preview'>&#x27;DA41_A110&#x27; ... &#x27;DA49_A127&#x27;</div><input id='attrs-4178488c-b48c-4c2d-964d-305b2615263f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4178488c-b48c-4c2d-964d-305b2615263f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4a5cbcc-cf15-473c-a57a-2f8b272b178e' class='xr-var-data-in' type='checkbox'><label for='data-c4a5cbcc-cf15-473c-a57a-2f8b272b178e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DA41_A110&#x27;, &#x27;DA42_A123&#x27;, &#x27;DA43_A115&#x27;, &#x27;DA44_A120&#x27;, &#x27;DA45_A091&#x27;,\n",
+       "       &#x27;DA46_A129&#x27;, &#x27;DA47_A074&#x27;, &#x27;DA48_A070&#x27;, &#x27;DA49_A127&#x27;], dtype=&#x27;&lt;U9&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>frequency</span></div><div class='xr-var-dims'>(frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.607e+10 8.61e+10 ... 8.629e+10</div><input id='attrs-ad08befb-6e7a-4269-bd8e-d4fcf4474348' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad08befb-6e7a-4269-bd8e-d4fcf4474348' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-518ae2c3-2a7c-404b-920d-e6a1be79669a' class='xr-var-data-in' type='checkbox'><label for='data-518ae2c3-2a7c-404b-920d-e6a1be79669a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8.607155e+10, 8.610280e+10, 8.613405e+10, 8.616530e+10, 8.619655e+10,\n",
+       "       8.622780e+10, 8.625905e+10, 8.629030e+10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>polarization</span></div><div class='xr-var-dims'>(polarization)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27;</div><input id='attrs-36a07e05-9f1e-4836-b013-7746acfb60b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36a07e05-9f1e-4836-b013-7746acfb60b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75b3b188-4945-47a6-a805-7b2d4e093f90' class='xr-var-data-in' type='checkbox'><label for='data-75b3b188-4945-47a6-a805-7b2d4e093f90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scan_id</span></div><div class='xr-var-dims'>(scan_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2 2 2 2 2 2 2 ... 26 26 26 26 26 26</div><input id='attrs-2bfe7ac4-dde5-4689-9dd3-12b61fe8fe37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2bfe7ac4-dde5-4689-9dd3-12b61fe8fe37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cc5ca37-5d24-470a-8bf4-43bf1adcdc45' class='xr-var-data-in' type='checkbox'><label for='data-4cc5ca37-5d24-470a-8bf4-43bf1adcdc45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 2,  2,  2, ..., 26, 26, 26])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>baseline_id</span></div><div class='xr-var-dims'>(baseline_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 39 40 41 42 43 44</div><input id='attrs-10a2a1cc-72a4-4ea1-a639-43c9a0c2a23f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-10a2a1cc-72a4-4ea1-a639-43c9a0c2a23f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8233b2df-f953-42f9-8376-67859c1b0757' class='xr-var-data-in' type='checkbox'><label for='data-8233b2df-f953-42f9-8376-67859c1b0757' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
        "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb2ad979-d284-49f6-bcb0-f16630aa2ac4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb2ad979-d284-49f6-bcb0-f16630aa2ac4' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>PARAMETER</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 6.919e-310 ... 0.0 0.0 0.0</div><input id='attrs-40467d77-60ed-4c04-9561-1584a323c6aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40467d77-60ed-4c04-9561-1584a323c6aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6960f289-37ae-48f9-82dd-98679cf2e6b3' class='xr-var-data-in' type='checkbox'><label for='data-6960f289-37ae-48f9-82dd-98679cf2e6b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[            nan, 0.00000000e+000],\n",
-       "         [6.91860547e-310, 3.22184291e-315],\n",
+       "       36, 37, 38, 39, 40, 41, 42, 43, 44])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-35fe377d-ac75-43aa-9eb4-902cf94a89ac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-35fe377d-ac75-43aa-9eb4-902cf94a89ac' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>PARAMETER</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 6.921e-310 ... 0.0 0.0 0.0</div><input id='attrs-b1c3df8c-a7a3-4999-9566-82cfa8efd869' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1c3df8c-a7a3-4999-9566-82cfa8efd869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-215981fc-80de-4bc8-b5d5-ea5bdbc25a63' class='xr-var-data-in' type='checkbox'><label for='data-215981fc-80de-4bc8-b5d5-ea5bdbc25a63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[            nan, 0.00000000e+000],\n",
+       "         [6.92060097e-310, 6.02464795e-316],\n",
        "         [0.00000000e+000,             nan],\n",
        "         ...,\n",
-       "         [4.44659081e-323, 6.91860547e-310],\n",
-       "         [3.22184310e-315, 0.00000000e+000],\n",
+       "         [4.44659081e-323, 6.92060097e-310],\n",
+       "         [6.02464992e-316, 0.00000000e+000],\n",
        "         [            nan,             nan]],\n",
        "\n",
-       "        [[1.03977794e-312, 1.01855798e-312],\n",
+       "        [[2.01589600e-312, 1.03977794e-312],\n",
        "         [3.55727265e-322, 4.44659081e-323],\n",
-       "         [6.91860547e-310, 3.22184324e-315],\n",
+       "         [6.92060097e-310, 6.02465131e-316],\n",
        "         ...,\n",
-       "         [1.01855798e-312, 7.11454530e-322],\n",
-       "         [3.45845952e-323, 6.91860547e-310],\n",
-       "         [3.22184366e-315, 0.00000000e+000]],\n",
+       "         [1.03977794e-312, 7.11454530e-322],\n",
+       "         [3.45845952e-323, 6.92060097e-310],\n",
+       "         [6.02465546e-316, 0.00000000e+000]],\n",
        "\n",
        "        [[            nan,             nan],\n",
-       "         [6.91856633e-310, 1.01855798e-312],\n",
+       "         [6.92058962e-310, 1.03977794e-312],\n",
        "         [1.06718180e-321, 1.48219694e-323],\n",
        "         ...,\n",
        "...\n",
@@ -737,7 +737,7 @@
        "         ...,\n",
        "         [0.00000000e+000, 0.00000000e+000],\n",
        "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WEIGHT</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4798777b-ce84-4c22-aa24-69f8756866a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4798777b-ce84-4c22-aa24-69f8756866a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1c1ce24-72eb-426a-b563-f7dafab146db' class='xr-var-data-in' type='checkbox'><label for='data-e1c1ce24-72eb-426a-b563-f7dafab146db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0., 0.],\n",
+       "         [0.00000000e+000, 0.00000000e+000]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WEIGHT</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c0f07049-8bf0-42b4-8f64-26334e1065ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c0f07049-8bf0-42b4-8f64-26334e1065ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-244f1ce0-2108-4cf9-b257-7bf26961b5d4' class='xr-var-data-in' type='checkbox'><label for='data-244f1ce0-2108-4cf9-b257-7bf26961b5d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0., 0.],\n",
        "         [0., 0.],\n",
        "         [0., 0.],\n",
        "         ...,\n",
@@ -777,7 +777,7 @@
        "         ...,\n",
        "         [0., 0.],\n",
        "         [0., 0.],\n",
-       "         [0., 0.]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLAG</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c6aa7323-1856-46f4-ac75-ee0a1bf39947' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6aa7323-1856-46f4-ac75-ee0a1bf39947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-423aebbc-9bfc-4075-9c78-e3bacd076251' class='xr-var-data-in' type='checkbox'><label for='data-423aebbc-9bfc-4075-9c78-e3bacd076251' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0., 0.],\n",
+       "         [0., 0.]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLAG</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e2c5a7bc-070b-432f-b72f-9160f57a47af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2c5a7bc-070b-432f-b72f-9160f57a47af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8615481f-4a19-4fa4-b46f-3cafbe1c51a8' class='xr-var-data-in' type='checkbox'><label for='data-8615481f-4a19-4fa4-b46f-3cafbe1c51a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0., 0.],\n",
        "         [0., 0.],\n",
        "         [0., 0.],\n",
        "         ...,\n",
@@ -817,7 +817,7 @@
        "         ...,\n",
        "         [0., 0.],\n",
        "         [0., 0.],\n",
-       "         [0., 0.]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MATRIX</span></div><div class='xr-var-dims'>(time, baseline_id, frequency, p, q)</div><div class='xr-var-dtype'>complex64</div><div class='xr-var-preview xr-preview'>(1+0j) 0j 0j ... 0j 0j (1+0j)</div><input id='attrs-01e0a443-db39-4da5-9096-c5b88f671732' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-01e0a443-db39-4da5-9096-c5b88f671732' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38dc3578-b304-49d0-bcb9-cd6d987974ba' class='xr-var-data-in' type='checkbox'><label for='data-38dc3578-b304-49d0-bcb9-cd6d987974ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[[1.+0.j, 0.+0.j],\n",
+       "         [0., 0.]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MATRIX</span></div><div class='xr-var-dims'>(time, baseline_id, frequency, p, q)</div><div class='xr-var-dtype'>complex64</div><div class='xr-var-preview xr-preview'>(1+0j) 0j 0j ... 0j 0j (1+0j)</div><input id='attrs-2379e59d-eb96-43c2-b131-b839354b9feb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2379e59d-eb96-43c2-b131-b839354b9feb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00d51bd1-8ee6-41a7-ba33-a89a682a15b5' class='xr-var-data-in' type='checkbox'><label for='data-00d51bd1-8ee6-41a7-ba33-a89a682a15b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[[1.+0.j, 0.+0.j],\n",
        "          [0.+0.j, 1.+0.j]],\n",
        "\n",
        "         [[1.+0.j, 0.+0.j],\n",
@@ -857,7 +857,7 @@
        "          [0.+0.j, 1.+0.j]],\n",
        "\n",
        "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]]]]], dtype=complex64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61d788da-94ae-46e0-9802-e147bb1e6283' class='xr-section-summary-in' type='checkbox'  ><label for='section-61d788da-94ae-46e0-9802-e147bb1e6283' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5a0f5aa1-4566-4ba3-a09c-e426277b9a9c' class='xr-index-data-in' type='checkbox'/><label for='index-5a0f5aa1-4566-4ba3-a09c-e426277b9a9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1503203604.4799995, 1503203607.9359999, 1503203611.3920002,\n",
+       "          [0.+0.j, 1.+0.j]]]]], dtype=complex64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d237c3b2-2407-464d-a786-0b2551275c12' class='xr-section-summary-in' type='checkbox'  ><label for='section-d237c3b2-2407-464d-a786-0b2551275c12' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e9d935a3-7880-446d-bef6-8489b2154ec8' class='xr-index-data-in' type='checkbox'/><label for='index-e9d935a3-7880-446d-bef6-8489b2154ec8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1503203604.4799995, 1503203607.9359999, 1503203611.3920002,\n",
        "       1503203614.8479996, 1503203618.3040009, 1503203621.7600002,\n",
        "       1503203625.2159996,  1503203628.671999, 1503203632.1280003,\n",
        "       1503203635.5839996,\n",
@@ -866,17 +866,17 @@
        "       1503210658.7040005, 1503210662.1599998, 1503210665.6160002,\n",
        "       1503210669.0720005, 1503210672.5279999, 1503210675.9839993,\n",
        "       1503210679.4400005],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;, length=957))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>antenna</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ef1763cd-0c24-437c-9ece-31a064324c2b' class='xr-index-data-in' type='checkbox'/><label for='index-ef1763cd-0c24-437c-9ece-31a064324c2b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DA41_A110&#x27;, &#x27;DA42_A123&#x27;, &#x27;DA43_A115&#x27;, &#x27;DA44_A120&#x27;, &#x27;DA45_A091&#x27;,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;, length=957))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>antenna</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-6b3085c2-f8da-423d-a3b0-62bcaf15baf7' class='xr-index-data-in' type='checkbox'/><label for='index-6b3085c2-f8da-423d-a3b0-62bcaf15baf7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DA41_A110&#x27;, &#x27;DA42_A123&#x27;, &#x27;DA43_A115&#x27;, &#x27;DA44_A120&#x27;, &#x27;DA45_A091&#x27;,\n",
        "       &#x27;DA46_A129&#x27;, &#x27;DA47_A074&#x27;, &#x27;DA48_A070&#x27;, &#x27;DA49_A127&#x27;],\n",
-       "      dtype=&#x27;object&#x27;, name=&#x27;antenna&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>frequency</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-3b081963-ba4a-426b-8390-884353062718' class='xr-index-data-in' type='checkbox'/><label for='index-3b081963-ba4a-426b-8390-884353062718' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([86071554999.9, 86102804999.9, 86134054999.9, 86165304999.9,\n",
+       "      dtype=&#x27;object&#x27;, name=&#x27;antenna&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>frequency</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-14e3c455-a84a-4435-bac3-880defa7763f' class='xr-index-data-in' type='checkbox'/><label for='index-14e3c455-a84a-4435-bac3-880defa7763f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([86071554999.9, 86102804999.9, 86134054999.9, 86165304999.9,\n",
        "       86196554999.9, 86227804999.9, 86259054999.9, 86290304999.9],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;frequency&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>polarization</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a41c8347-e40d-4f59-ad44-93970549aa39' class='xr-index-data-in' type='checkbox'/><label for='index-a41c8347-e40d-4f59-ad44-93970549aa39' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;X&#x27;, &#x27;Y&#x27;], dtype=&#x27;object&#x27;, name=&#x27;polarization&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>scan_id</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-50c430d9-79a0-4bd3-8617-04d0441ac257' class='xr-index-data-in' type='checkbox'/><label for='index-50c430d9-79a0-4bd3-8617-04d0441ac257' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 2,  2,  2,  2,  2,  2,  2,  2,  2,  2,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;frequency&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>polarization</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-52e876e7-af29-4e92-9d83-870661506927' class='xr-index-data-in' type='checkbox'/><label for='index-52e876e7-af29-4e92-9d83-870661506927' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;X&#x27;, &#x27;Y&#x27;], dtype=&#x27;object&#x27;, name=&#x27;polarization&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>scan_id</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a68e1b05-73bb-4cbb-aa51-5ec0cb391772' class='xr-index-data-in' type='checkbox'/><label for='index-a68e1b05-73bb-4cbb-aa51-5ec0cb391772' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 2,  2,  2,  2,  2,  2,  2,  2,  2,  2,\n",
        "       ...\n",
        "       26, 26, 26, 26, 26, 26, 26, 26, 26, 26],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;scan_id&#x27;, length=957))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>baseline_id</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-780f42dd-045d-46da-afe9-47912257dc2f' class='xr-index-data-in' type='checkbox'/><label for='index-780f42dd-045d-46da-afe9-47912257dc2f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;scan_id&#x27;, length=957))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>baseline_id</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-49588a1c-2e16-485b-a7bc-44a8d01e98ba' class='xr-index-data-in' type='checkbox'/><label for='index-49588a1c-2e16-485b-a7bc-44a8d01e98ba' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
        "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
        "       36, 37, 38, 39, 40, 41, 42, 43, 44],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;baseline_id&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39ce6c26-12ba-42c5-9ada-0231cfcf197d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-39ce6c26-12ba-42c5-9ada-0231cfcf197d' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>calibration_type :</span></dt><dd>gain</dd><dt><span>observation_info :</span></dt><dd>{&#x27;observer&#x27;: [&#x27;lknee&#x27;], &#x27;project&#x27;: &#x27;uid://A002/X1f841f/X21d&#x27;, &#x27;release_date&#x27;: &#x27;1858-11-17T00:00:00.000000000&#x27;}</dd></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;int64&#x27;, name=&#x27;baseline_id&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db654290-3884-4cbd-813f-c7dc2ca90c60' class='xr-section-summary-in' type='checkbox'  checked><label for='section-db654290-3884-4cbd-813f-c7dc2ca90c60' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>calibration_type :</span></dt><dd>gain</dd><dt><span>observation_info :</span></dt><dd>{&#x27;observer&#x27;: [&#x27;lknee&#x27;], &#x27;project&#x27;: &#x27;uid://A002/X1f841f/X21d&#x27;, &#x27;release_date&#x27;: &#x27;1858-11-17T00:00:00.000000000&#x27;}</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 14MB\n",
@@ -911,47 +911,110 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "7ccb777d-9509-4d19-a2c1-77d53c9564f9",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(957, 9, 8, 2)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "G.PARAMETER.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "d785e421-250d-4f03-9338-e143789889f4",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ItemsView(Coordinates:\n",
+       "  * time          (time) float64 8kB 1.503e+09 1.503e+09 ... 1.503e+09 1.503e+09\n",
+       "  * antenna       (antenna) <U9 324B 'DA41_A110' 'DA42_A123' ... 'DA49_A127'\n",
+       "  * frequency     (frequency) float64 64B 8.607e+10 8.61e+10 ... 8.629e+10\n",
+       "  * polarization  (polarization) <U1 8B 'X' 'Y'\n",
+       "  * scan_id       (scan_id) int64 8kB 2 2 2 2 2 2 2 2 ... 26 26 26 26 26 26 26\n",
+       "  * baseline_id   (baseline_id) int64 360B 0 1 2 3 4 5 6 ... 39 40 41 42 43 44)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "G.coords.items()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "bf6e3883-7923-4a5f-be89-ac0244ef8c17",
    "metadata": {},
    "outputs": [],
    "source": [
     "# This should all be done within the equivalent of VisEquation\n",
     "#v = V[:, 0, 0]\n",
+    "#v = V\n",
+    "\n",
+    "#index_a, ant = calviper.math.tools.encode(dataset.baseline_antenna1_name.to_numpy())\n",
+    "#index_b, _ = calviper.math.tools.encode(dataset.baseline_antenna2_name.to_numpy())\n",
+    "\n",
+    "#v_ = calviper.math.tools.build_visibility_matrix(array=v, index_a=index_a, index_b=index_b)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "2c082a02-e4a0-475d-9891-49ee8f3b21dd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "v = V\n",
     "\n",
-    "index_a, ant = calviper.math.tools.encode(dataset.baseline_antenna1_name.to_numpy())\n",
-    "index_b, _ = calviper.math.tools.encode(dataset.baseline_antenna2_name.to_numpy())\n",
+    "full_antenna_list = np.union1d(\n",
+    "    dataset.baseline_antenna1_name.to_numpy(),\n",
+    "    dataset.baseline_antenna2_name.to_numpy()\n",
+    ")\n",
+    "\n",
+    "full_antenna_list\n",
+    "\n",
+    "encoder, antennas = calviper.math.tools.encode(full_antenna_list)\n",
+    "\n",
+    "index_a = encoder.transform(dataset.baseline_antenna1_name.to_numpy())\n",
+    "index_b = encoder.transform(dataset.baseline_antenna2_name.to_numpy())\n",
     "\n",
     "v_ = calviper.math.tools.build_visibility_matrix(array=v, index_a=index_a, index_b=index_b)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "id": "273a36a3-7f9d-4bfe-93de-3ac5888adab5",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(8, 4, 9, 9)"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "v_.shape"
    ]
@@ -997,12 +1060,14 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "1afafaab-eef7-4960-b6b9-31de7e12579f",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [],
    "source": [
     "# Gain solutions\n",
     "\n",
-    "solver.parameter"
+    "#solver.parameter"
    ]
   },
   {
@@ -1014,6 +1079,71 @@
    "source": [
     "solver.parameter.shape"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16652ae6-ed61-4dfe-94cc-45a235d2a514",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "parameter = solver.parameter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "272cd63b-bed0-429a-bed2-c26150280528",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@numba.njit\n",
+    "def to_baseline(array):\n",
+    "    baseline = 0\n",
+    "    n_frequency, n_polarization, n_antenna = array.shape\n",
+    "    \n",
+    "    n_baseline = int(n_antenna*(n_antenna + 1)*0.5)\n",
+    "    \n",
+    "    n_array = np.zeros((n_baseline, n_frequency, n_polarization), dtype=np.complex64)\n",
+    "\n",
+    "    for ant1 in range(n_antenna):\n",
+    "        for ant2 in range(ant1, n_antenna):\n",
+    "            for frequency in range(n_frequency):\n",
+    "                for polarization in range(n_polarization):\n",
+    "                    n_array[baseline, f, p] = array[frequency, polarization, ant1]*array[frequency, polarization, ant2]\n",
+    "\n",
+    "            baseline += 1\n",
+    "\n",
+    "    return n_array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5acbfa41-2068-4aff-9636-ffd08bfd1199",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "converted = to_baseline(parameter)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "398d2575-91b8-4798-a3f1-ffbea29b5381",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "converted.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39d2e400-f2b3-4798-b49a-1d19c220659e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/factory_methods.ipynb b/factory_methods.ipynb
index ac7ff7d..fef0e2f 100644
--- a/factory_methods.ipynb
+++ b/factory_methods.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "d793d2a9-13ff-43f0-ada7-8830db0f0954",
    "metadata": {},
    "outputs": [],
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "91d0e493-eb52-4ff9-bf4e-6e42e1f83941",
    "metadata": {},
    "outputs": [],
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "897b0cdb-4ca0-4488-acad-53a2c245b285",
    "metadata": {},
    "outputs": [],
@@ -43,153 +43,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "82f8673f-cbdc-4c54-a813-353fb147309c",
    "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>name</th>\n",
-       "      <th>intents</th>\n",
-       "      <th>shape</th>\n",
-       "      <th>polarization</th>\n",
-       "      <th>scan_number</th>\n",
-       "      <th>spw_name</th>\n",
-       "      <th>field_name</th>\n",
-       "      <th>source_name</th>\n",
-       "      <th>line_name</th>\n",
-       "      <th>field_coords</th>\n",
-       "      <th>start_frequency</th>\n",
-       "      <th>end_frequency</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>gaincaltest2_0</td>\n",
-       "      <td>[CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...</td>\n",
-       "      <td>(957, 45, 8, 4)</td>\n",
-       "      <td>[XX, XY, YX, YY]</td>\n",
-       "      <td>[2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]</td>\n",
-       "      <td>X0000000000#ALMA_RB_03#BB_1#SW-01#FULL_RES_0</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[icrs, 22h55m57.68s, -35d00m00.00s]</td>\n",
-       "      <td>8.607155e+10</td>\n",
-       "      <td>8.629030e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>gaincaltest2_2</td>\n",
-       "      <td>[CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...</td>\n",
-       "      <td>(957, 45, 8, 4)</td>\n",
-       "      <td>[XX, XY, YX, YY]</td>\n",
-       "      <td>[2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]</td>\n",
-       "      <td>X0000000000#ALMA_RB_03#BB_2#SW-01#FULL_RES_1</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[icrs, 22h55m57.68s, -35d00m00.00s]</td>\n",
-       "      <td>8.794655e+10</td>\n",
-       "      <td>8.816530e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>gaincaltest2_4</td>\n",
-       "      <td>[CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...</td>\n",
-       "      <td>(957, 45, 8, 4)</td>\n",
-       "      <td>[XX, XY, YX, YY]</td>\n",
-       "      <td>[2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]</td>\n",
-       "      <td>X0000000000#ALMA_RB_03#BB_3#SW-01#FULL_RES_2</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[icrs, 22h55m57.68s, -35d00m00.00s]</td>\n",
-       "      <td>9.632156e+10</td>\n",
-       "      <td>9.654030e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>gaincaltest2_6</td>\n",
-       "      <td>[CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...</td>\n",
-       "      <td>(957, 45, 8, 4)</td>\n",
-       "      <td>[XX, XY, YX, YY]</td>\n",
-       "      <td>[2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]</td>\n",
-       "      <td>X0000000000#ALMA_RB_03#BB_4#SW-01#FULL_RES_3</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[icrs, 22h55m57.68s, -35d00m00.00s]</td>\n",
-       "      <td>9.819656e+10</td>\n",
-       "      <td>9.841530e+10</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             name                                            intents  \\\n",
-       "1  gaincaltest2_0  [CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...   \n",
-       "0  gaincaltest2_2  [CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...   \n",
-       "3  gaincaltest2_4  [CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...   \n",
-       "2  gaincaltest2_6  [CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...   \n",
-       "\n",
-       "             shape      polarization  \\\n",
-       "1  (957, 45, 8, 4)  [XX, XY, YX, YY]   \n",
-       "0  (957, 45, 8, 4)  [XX, XY, YX, YY]   \n",
-       "3  (957, 45, 8, 4)  [XX, XY, YX, YY]   \n",
-       "2  (957, 45, 8, 4)  [XX, XY, YX, YY]   \n",
-       "\n",
-       "                                scan_number  \\\n",
-       "1  [2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]   \n",
-       "0  [2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]   \n",
-       "3  [2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]   \n",
-       "2  [2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]   \n",
-       "\n",
-       "                                       spw_name      field_name  \\\n",
-       "1  X0000000000#ALMA_RB_03#BB_1#SW-01#FULL_RES_0  [J2255-3500_0]   \n",
-       "0  X0000000000#ALMA_RB_03#BB_2#SW-01#FULL_RES_1  [J2255-3500_0]   \n",
-       "3  X0000000000#ALMA_RB_03#BB_3#SW-01#FULL_RES_2  [J2255-3500_0]   \n",
-       "2  X0000000000#ALMA_RB_03#BB_4#SW-01#FULL_RES_3  [J2255-3500_0]   \n",
-       "\n",
-       "      source_name line_name                         field_coords  \\\n",
-       "1  [J2255-3500_0]        []  [icrs, 22h55m57.68s, -35d00m00.00s]   \n",
-       "0  [J2255-3500_0]        []  [icrs, 22h55m57.68s, -35d00m00.00s]   \n",
-       "3  [J2255-3500_0]        []  [icrs, 22h55m57.68s, -35d00m00.00s]   \n",
-       "2  [J2255-3500_0]        []  [icrs, 22h55m57.68s, -35d00m00.00s]   \n",
-       "\n",
-       "   start_frequency  end_frequency  \n",
-       "1     8.607155e+10   8.629030e+10  \n",
-       "0     8.794655e+10   8.816530e+10  \n",
-       "3     9.632156e+10   9.654030e+10  \n",
-       "2     9.819656e+10   9.841530e+10  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ps = ms.open_processing_set(\"data/gaincaltest2.ps.zarr\")\n",
     "\n",
@@ -199,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "8218ddec-76b6-409c-a25e-28106f411daf",
    "metadata": {},
    "outputs": [],
@@ -209,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "ada6b873-cead-44a8-b651-03f797f9bd82",
    "metadata": {},
    "outputs": [],
@@ -219,588 +76,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "50542267-b907-461a-9478-3493bc1ab4ba",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[\u001b[38;2;128;05;128m2025-02-06 13:33:15,444\u001b[0m] \u001b[38;2;50;50;205m    INFO\u001b[0m\u001b[38;2;112;128;144m    viperlog: \u001b[0m Module path: \u001b[38;2;50;50;205m/home/mystletainn/Development/calviper/src/calviper\u001b[0m \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "jones = cmatrix.create_jones(\"gain\").empty_like(sps)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "13af4cf2-87a9-42c5-845e-7cc7096bb6db",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
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-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
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-       "\n",
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-       "\n",
-       ".xr-attrs dt,\n",
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-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
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-       "\n",
-       ".xr-attrs dd {\n",
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-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
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-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 3MB\n",
-       "Dimensions:       (time: 957, antenna: 9, frequency: 8, polarization: 2,\n",
-       "                   scan_id: 957, baseline_id: 45)\n",
-       "Coordinates:\n",
-       "  * time          (time) float64 8kB 1.503e+09 1.503e+09 ... 1.503e+09 1.503e+09\n",
-       "  * antenna       (antenna) &lt;U9 324B &#x27;DA41_A110&#x27; &#x27;DA42_A123&#x27; ... &#x27;DA49_A127&#x27;\n",
-       "  * frequency     (frequency) float64 64B 8.607e+10 8.61e+10 ... 8.629e+10\n",
-       "  * polarization  (polarization) &lt;U1 8B &#x27;X&#x27; &#x27;Y&#x27;\n",
-       "  * scan_id       (scan_id) int64 8kB 2 2 2 2 2 2 2 2 ... 26 26 26 26 26 26 26\n",
-       "  * baseline_id   (baseline_id) int64 360B 0 1 2 3 4 5 6 ... 39 40 41 42 43 44\n",
-       "Data variables:\n",
-       "    PARAMETER     (time, antenna, frequency, polarization) float64 1MB nan .....\n",
-       "    WEIGHT        (time, antenna, frequency, polarization) float64 1MB 0.0 .....\n",
-       "    FLAG          (time, antenna, frequency, polarization) float64 1MB 0.0 .....\n",
-       "Attributes:\n",
-       "    calibration_type:  gain\n",
-       "    observation_info:  {&#x27;observer&#x27;: [&#x27;lknee&#x27;], &#x27;project&#x27;: &#x27;uid://A002/X1f841f...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a7fd6f7c-a055-42ba-b551-096bd273da4d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a7fd6f7c-a055-42ba-b551-096bd273da4d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 957</li><li><span class='xr-has-index'>antenna</span>: 9</li><li><span class='xr-has-index'>frequency</span>: 8</li><li><span class='xr-has-index'>polarization</span>: 2</li><li><span class='xr-has-index'>scan_id</span>: 957</li><li><span class='xr-has-index'>baseline_id</span>: 45</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-76608fd4-e632-426d-a928-9178ef1da72d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-76608fd4-e632-426d-a928-9178ef1da72d' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.503e+09 1.503e+09 ... 1.503e+09</div><input id='attrs-33ae4052-9bc6-4c80-a363-9ebd73dc56cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-33ae4052-9bc6-4c80-a363-9ebd73dc56cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-301f4145-2fda-447d-942b-8bf7b2655b45' class='xr-var-data-in' type='checkbox'><label for='data-301f4145-2fda-447d-942b-8bf7b2655b45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.503204e+09, 1.503204e+09, 1.503204e+09, ..., 1.503211e+09,\n",
-       "       1.503211e+09, 1.503211e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>antenna</span></div><div class='xr-var-dims'>(antenna)</div><div class='xr-var-dtype'>&lt;U9</div><div class='xr-var-preview xr-preview'>&#x27;DA41_A110&#x27; ... &#x27;DA49_A127&#x27;</div><input id='attrs-90680dd7-e722-4ac7-b397-3f801b5200fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90680dd7-e722-4ac7-b397-3f801b5200fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fae6f81-ec52-4189-a5b1-ab934c51eedc' class='xr-var-data-in' type='checkbox'><label for='data-1fae6f81-ec52-4189-a5b1-ab934c51eedc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DA41_A110&#x27;, &#x27;DA42_A123&#x27;, &#x27;DA43_A115&#x27;, &#x27;DA44_A120&#x27;, &#x27;DA45_A091&#x27;,\n",
-       "       &#x27;DA46_A129&#x27;, &#x27;DA47_A074&#x27;, &#x27;DA48_A070&#x27;, &#x27;DA49_A127&#x27;], dtype=&#x27;&lt;U9&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>frequency</span></div><div class='xr-var-dims'>(frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.607e+10 8.61e+10 ... 8.629e+10</div><input id='attrs-df975d1e-3b21-4098-b681-a612a9125f51' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-df975d1e-3b21-4098-b681-a612a9125f51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-666730e3-81ca-40e3-bfd5-d429dbcb34f6' class='xr-var-data-in' type='checkbox'><label for='data-666730e3-81ca-40e3-bfd5-d429dbcb34f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8.607155e+10, 8.610280e+10, 8.613405e+10, 8.616530e+10, 8.619655e+10,\n",
-       "       8.622780e+10, 8.625905e+10, 8.629030e+10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>polarization</span></div><div class='xr-var-dims'>(polarization)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27;</div><input id='attrs-e64415b8-901a-4a37-b9d6-ead13796338f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e64415b8-901a-4a37-b9d6-ead13796338f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86207c27-8187-4901-9b47-73a7931bb28f' class='xr-var-data-in' type='checkbox'><label for='data-86207c27-8187-4901-9b47-73a7931bb28f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scan_id</span></div><div class='xr-var-dims'>(scan_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2 2 2 2 2 2 2 ... 26 26 26 26 26 26</div><input id='attrs-70183e32-20ec-4888-a4f3-98d7c28d274c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-70183e32-20ec-4888-a4f3-98d7c28d274c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d198a844-e10a-4e08-bfd4-69b4ee9a495b' class='xr-var-data-in' type='checkbox'><label for='data-d198a844-e10a-4e08-bfd4-69b4ee9a495b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 2,  2,  2, ..., 26, 26, 26])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>baseline_id</span></div><div class='xr-var-dims'>(baseline_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 39 40 41 42 43 44</div><input id='attrs-f172056b-c215-4103-9950-640fce51325b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f172056b-c215-4103-9950-640fce51325b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-296ca2c8-b641-4365-a88b-ebb4797a9a9e' class='xr-var-data-in' type='checkbox'><label for='data-296ca2c8-b641-4365-a88b-ebb4797a9a9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-266543d7-8730-4316-b4de-ac93e1d44141' class='xr-section-summary-in' type='checkbox'  checked><label for='section-266543d7-8730-4316-b4de-ac93e1d44141' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>PARAMETER</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 6.898e-310 ... 0.0 0.0 0.0</div><input id='attrs-66f9dc90-778d-4043-9682-b7448404d9e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66f9dc90-778d-4043-9682-b7448404d9e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcf182f3-d1fb-4a1c-8341-8528354169c8' class='xr-var-data-in' type='checkbox'><label for='data-dcf182f3-d1fb-4a1c-8341-8528354169c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[            nan, 0.00000000e+000],\n",
-       "         [6.89817645e-310, 2.70870411e-315],\n",
-       "         [0.00000000e+000,             nan],\n",
-       "         ...,\n",
-       "         [4.44659081e-323, 6.89817645e-310],\n",
-       "         [2.70870431e-315, 0.00000000e+000],\n",
-       "         [            nan,             nan]],\n",
-       "\n",
-       "        [[1.03977794e-312, 1.01855798e-312],\n",
-       "         [3.55727265e-322, 4.44659081e-323],\n",
-       "         [6.89817645e-310, 2.70870445e-315],\n",
-       "         ...,\n",
-       "         [1.01855798e-312, 7.11454530e-322],\n",
-       "         [3.45845952e-323, 6.89817645e-310],\n",
-       "         [2.70870486e-315, 0.00000000e+000]],\n",
-       "\n",
-       "        [[            nan,             nan],\n",
-       "         [6.89814182e-310, 1.01855798e-312],\n",
-       "         [1.06718180e-321, 1.48219694e-323],\n",
-       "         ...,\n",
-       "...\n",
-       "         ...,\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000]],\n",
-       "\n",
-       "        [[0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         ...,\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000]],\n",
-       "\n",
-       "        [[0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         ...,\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WEIGHT</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-50e72dc8-985d-4116-8cbe-3533d9cdd05e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50e72dc8-985d-4116-8cbe-3533d9cdd05e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59a4df12-146a-49d1-ad28-55acff885267' class='xr-var-data-in' type='checkbox'><label for='data-59a4df12-146a-49d1-ad28-55acff885267' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "...\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLAG</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ade1eab2-a0f6-4dcc-9f8a-e2e43c268ede' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ade1eab2-a0f6-4dcc-9f8a-e2e43c268ede' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bcbfe12-4693-43a0-bea3-b462b1132abc' class='xr-var-data-in' type='checkbox'><label for='data-2bcbfe12-4693-43a0-bea3-b462b1132abc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "...\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bbcb4f10-88a3-4e30-8d5e-f7145db4e526' class='xr-section-summary-in' type='checkbox'  ><label for='section-bbcb4f10-88a3-4e30-8d5e-f7145db4e526' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-550313d6-25e7-434b-a582-572ac7e36f41' class='xr-index-data-in' type='checkbox'/><label for='index-550313d6-25e7-434b-a582-572ac7e36f41' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1503203604.4799995, 1503203607.9359999, 1503203611.3920002,\n",
-       "       1503203614.8479996, 1503203618.3040009, 1503203621.7600002,\n",
-       "       1503203625.2159996,  1503203628.671999, 1503203632.1280003,\n",
-       "       1503203635.5839996,\n",
-       "       ...\n",
-       "       1503210648.3360004, 1503210651.7919998, 1503210655.2480001,\n",
-       "       1503210658.7040005, 1503210662.1599998, 1503210665.6160002,\n",
-       "       1503210669.0720005, 1503210672.5279999, 1503210675.9839993,\n",
-       "       1503210679.4400005],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;, length=957))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>antenna</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c17c6233-475d-4a55-8991-a1d6e1cde71e' class='xr-index-data-in' type='checkbox'/><label for='index-c17c6233-475d-4a55-8991-a1d6e1cde71e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DA41_A110&#x27;, &#x27;DA42_A123&#x27;, &#x27;DA43_A115&#x27;, &#x27;DA44_A120&#x27;, &#x27;DA45_A091&#x27;,\n",
-       "       &#x27;DA46_A129&#x27;, &#x27;DA47_A074&#x27;, &#x27;DA48_A070&#x27;, &#x27;DA49_A127&#x27;],\n",
-       "      dtype=&#x27;object&#x27;, name=&#x27;antenna&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>frequency</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7ee9494a-c1fe-402a-b55c-cc7e171c4b22' class='xr-index-data-in' type='checkbox'/><label for='index-7ee9494a-c1fe-402a-b55c-cc7e171c4b22' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([86071554999.9, 86102804999.9, 86134054999.9, 86165304999.9,\n",
-       "       86196554999.9, 86227804999.9, 86259054999.9, 86290304999.9],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;frequency&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>polarization</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2a831df0-fddf-42bd-af3b-50f2762c7c8b' class='xr-index-data-in' type='checkbox'/><label for='index-2a831df0-fddf-42bd-af3b-50f2762c7c8b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;X&#x27;, &#x27;Y&#x27;], dtype=&#x27;object&#x27;, name=&#x27;polarization&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>scan_id</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-fefbbe3e-8533-45f0-ad10-33d5eb1a3567' class='xr-index-data-in' type='checkbox'/><label for='index-fefbbe3e-8533-45f0-ad10-33d5eb1a3567' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 2,  2,  2,  2,  2,  2,  2,  2,  2,  2,\n",
-       "       ...\n",
-       "       26, 26, 26, 26, 26, 26, 26, 26, 26, 26],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;scan_id&#x27;, length=957))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>baseline_id</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0d009416-53a0-4a19-afd5-b35323b0f990' class='xr-index-data-in' type='checkbox'/><label for='index-0d009416-53a0-4a19-afd5-b35323b0f990' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;baseline_id&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44b65e3f-0acd-497a-86a1-de2fed2169b8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44b65e3f-0acd-497a-86a1-de2fed2169b8' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>calibration_type :</span></dt><dd>gain</dd><dt><span>observation_info :</span></dt><dd>{&#x27;observer&#x27;: [&#x27;lknee&#x27;], &#x27;project&#x27;: &#x27;uid://A002/X1f841f/X21d&#x27;, &#x27;release_date&#x27;: &#x27;1858-11-17T00:00:00.000000000&#x27;}</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 3MB\n",
-       "Dimensions:       (time: 957, antenna: 9, frequency: 8, polarization: 2,\n",
-       "                   scan_id: 957, baseline_id: 45)\n",
-       "Coordinates:\n",
-       "  * time          (time) float64 8kB 1.503e+09 1.503e+09 ... 1.503e+09 1.503e+09\n",
-       "  * antenna       (antenna) <U9 324B 'DA41_A110' 'DA42_A123' ... 'DA49_A127'\n",
-       "  * frequency     (frequency) float64 64B 8.607e+10 8.61e+10 ... 8.629e+10\n",
-       "  * polarization  (polarization) <U1 8B 'X' 'Y'\n",
-       "  * scan_id       (scan_id) int64 8kB 2 2 2 2 2 2 2 2 ... 26 26 26 26 26 26 26\n",
-       "  * baseline_id   (baseline_id) int64 360B 0 1 2 3 4 5 6 ... 39 40 41 42 43 44\n",
-       "Data variables:\n",
-       "    PARAMETER     (time, antenna, frequency, polarization) float64 1MB nan .....\n",
-       "    WEIGHT        (time, antenna, frequency, polarization) float64 1MB 0.0 .....\n",
-       "    FLAG          (time, antenna, frequency, polarization) float64 1MB 0.0 .....\n",
-       "Attributes:\n",
-       "    calibration_type:  gain\n",
-       "    observation_info:  {'observer': ['lknee'], 'project': 'uid://A002/X1f841f..."
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "jones"
    ]
@@ -815,25 +104,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "5bf1f39f-0fd5-447d-93d4-a4716221f9d9",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[\u001b[38;2;128;05;128m2025-02-06 13:33:15,481\u001b[0m] \u001b[38;2;50;50;205m    INFO\u001b[0m\u001b[38;2;112;128;144m    viperlog: \u001b[0m This is a gain matrix specific function that does something with the data. \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "jones.gain.example()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "1132e46e-545c-45e7-a69b-2591c43bb5de",
    "metadata": {},
    "outputs": [],
@@ -843,699 +124,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "ebb90d2a-29bc-43eb-ada3-c7dbe0b553f5",
    "metadata": {},
-   "outputs": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 14MB\n",
-       "Dimensions:       (time: 957, antenna: 9, frequency: 8, polarization: 2,\n",
-       "                   scan_id: 957, baseline_id: 45, p: 2, q: 2)\n",
-       "Coordinates:\n",
-       "  * time          (time) float64 8kB 1.503e+09 1.503e+09 ... 1.503e+09 1.503e+09\n",
-       "  * antenna       (antenna) &lt;U9 324B &#x27;DA41_A110&#x27; &#x27;DA42_A123&#x27; ... &#x27;DA49_A127&#x27;\n",
-       "  * frequency     (frequency) float64 64B 8.607e+10 8.61e+10 ... 8.629e+10\n",
-       "  * polarization  (polarization) &lt;U1 8B &#x27;X&#x27; &#x27;Y&#x27;\n",
-       "  * scan_id       (scan_id) int64 8kB 2 2 2 2 2 2 2 2 ... 26 26 26 26 26 26 26\n",
-       "  * baseline_id   (baseline_id) int64 360B 0 1 2 3 4 5 6 ... 39 40 41 42 43 44\n",
-       "Dimensions without coordinates: p, q\n",
-       "Data variables:\n",
-       "    PARAMETER     (time, antenna, frequency, polarization) float64 1MB nan .....\n",
-       "    WEIGHT        (time, antenna, frequency, polarization) float64 1MB 0.0 .....\n",
-       "    FLAG          (time, antenna, frequency, polarization) float64 1MB 0.0 .....\n",
-       "    MATRIX        (time, baseline_id, frequency, p, q) complex64 11MB (1+0j) ...\n",
-       "Attributes:\n",
-       "    calibration_type:  gain\n",
-       "    observation_info:  {&#x27;observer&#x27;: [&#x27;lknee&#x27;], &#x27;project&#x27;: &#x27;uid://A002/X1f841f...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0d1a599c-88c2-4a92-a1bf-539fb86b5ea3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0d1a599c-88c2-4a92-a1bf-539fb86b5ea3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 957</li><li><span class='xr-has-index'>antenna</span>: 9</li><li><span class='xr-has-index'>frequency</span>: 8</li><li><span class='xr-has-index'>polarization</span>: 2</li><li><span class='xr-has-index'>scan_id</span>: 957</li><li><span class='xr-has-index'>baseline_id</span>: 45</li><li><span>p</span>: 2</li><li><span>q</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9ee6629b-d46a-4bca-a138-229fdb20258f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ee6629b-d46a-4bca-a138-229fdb20258f' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.503e+09 1.503e+09 ... 1.503e+09</div><input id='attrs-2d48243b-d421-46be-86be-b3fff1ef9d36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d48243b-d421-46be-86be-b3fff1ef9d36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d2cecac-ef99-4806-a824-0e8355c5b67c' class='xr-var-data-in' type='checkbox'><label for='data-2d2cecac-ef99-4806-a824-0e8355c5b67c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.503204e+09, 1.503204e+09, 1.503204e+09, ..., 1.503211e+09,\n",
-       "       1.503211e+09, 1.503211e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>antenna</span></div><div class='xr-var-dims'>(antenna)</div><div class='xr-var-dtype'>&lt;U9</div><div class='xr-var-preview xr-preview'>&#x27;DA41_A110&#x27; ... &#x27;DA49_A127&#x27;</div><input id='attrs-7365f960-383d-452a-8bf0-44778c62df2c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7365f960-383d-452a-8bf0-44778c62df2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff9e3479-babc-4c60-a72c-a83783e0a168' class='xr-var-data-in' type='checkbox'><label for='data-ff9e3479-babc-4c60-a72c-a83783e0a168' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DA41_A110&#x27;, &#x27;DA42_A123&#x27;, &#x27;DA43_A115&#x27;, &#x27;DA44_A120&#x27;, &#x27;DA45_A091&#x27;,\n",
-       "       &#x27;DA46_A129&#x27;, &#x27;DA47_A074&#x27;, &#x27;DA48_A070&#x27;, &#x27;DA49_A127&#x27;], dtype=&#x27;&lt;U9&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>frequency</span></div><div class='xr-var-dims'>(frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.607e+10 8.61e+10 ... 8.629e+10</div><input id='attrs-0ab4dc33-4931-441b-9f2a-178c3ee6f35a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ab4dc33-4931-441b-9f2a-178c3ee6f35a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa290f41-a75e-40ad-9080-d000fff11e8a' class='xr-var-data-in' type='checkbox'><label for='data-aa290f41-a75e-40ad-9080-d000fff11e8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8.607155e+10, 8.610280e+10, 8.613405e+10, 8.616530e+10, 8.619655e+10,\n",
-       "       8.622780e+10, 8.625905e+10, 8.629030e+10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>polarization</span></div><div class='xr-var-dims'>(polarization)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27;</div><input id='attrs-f3cd9707-e7a5-4631-88d3-e297b9b52f7c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3cd9707-e7a5-4631-88d3-e297b9b52f7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12420949-f522-4f53-a4ca-c8e5ae644e90' class='xr-var-data-in' type='checkbox'><label for='data-12420949-f522-4f53-a4ca-c8e5ae644e90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scan_id</span></div><div class='xr-var-dims'>(scan_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2 2 2 2 2 2 2 ... 26 26 26 26 26 26</div><input id='attrs-91400cbf-2f89-4e36-adbf-7168375f0211' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91400cbf-2f89-4e36-adbf-7168375f0211' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f577c155-1115-4c36-b809-e48f4e88146f' class='xr-var-data-in' type='checkbox'><label for='data-f577c155-1115-4c36-b809-e48f4e88146f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 2,  2,  2, ..., 26, 26, 26])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>baseline_id</span></div><div class='xr-var-dims'>(baseline_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 39 40 41 42 43 44</div><input id='attrs-3e8b116f-bd76-4055-8a2b-1f69740f734a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e8b116f-bd76-4055-8a2b-1f69740f734a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c85e551f-8670-4ff4-aab9-34cecb5d968d' class='xr-var-data-in' type='checkbox'><label for='data-c85e551f-8670-4ff4-aab9-34cecb5d968d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4de62ff7-0a39-46ca-838d-fee1d047bf3b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4de62ff7-0a39-46ca-838d-fee1d047bf3b' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>PARAMETER</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 6.898e-310 ... 0.0 0.0 0.0</div><input id='attrs-2265b5a9-7bde-4b8b-a6ca-c8be10740a7a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2265b5a9-7bde-4b8b-a6ca-c8be10740a7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd3cd33e-02a2-43b7-903d-ccfd3986680a' class='xr-var-data-in' type='checkbox'><label for='data-bd3cd33e-02a2-43b7-903d-ccfd3986680a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[            nan, 0.00000000e+000],\n",
-       "         [6.89817645e-310, 2.70870411e-315],\n",
-       "         [0.00000000e+000,             nan],\n",
-       "         ...,\n",
-       "         [4.44659081e-323, 6.89817645e-310],\n",
-       "         [2.70870431e-315, 0.00000000e+000],\n",
-       "         [            nan,             nan]],\n",
-       "\n",
-       "        [[1.03977794e-312, 1.01855798e-312],\n",
-       "         [3.55727265e-322, 4.44659081e-323],\n",
-       "         [6.89817645e-310, 2.70870445e-315],\n",
-       "         ...,\n",
-       "         [1.01855798e-312, 7.11454530e-322],\n",
-       "         [3.45845952e-323, 6.89817645e-310],\n",
-       "         [2.70870486e-315, 0.00000000e+000]],\n",
-       "\n",
-       "        [[            nan,             nan],\n",
-       "         [6.89814182e-310, 1.01855798e-312],\n",
-       "         [1.06718180e-321, 1.48219694e-323],\n",
-       "         ...,\n",
-       "...\n",
-       "         ...,\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000]],\n",
-       "\n",
-       "        [[0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         ...,\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000]],\n",
-       "\n",
-       "        [[0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         ...,\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000],\n",
-       "         [0.00000000e+000, 0.00000000e+000]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WEIGHT</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-8be1040b-fe80-4903-8841-0f956e39ab36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8be1040b-fe80-4903-8841-0f956e39ab36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f75341f-f9d4-473f-93a3-1b6a1e3b2d78' class='xr-var-data-in' type='checkbox'><label for='data-0f75341f-f9d4-473f-93a3-1b6a1e3b2d78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "...\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLAG</span></div><div class='xr-var-dims'>(time, antenna, frequency, polarization)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a67055b0-4c38-4f4b-9192-487a90cec606' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a67055b0-4c38-4f4b-9192-487a90cec606' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8240a9d4-e8ee-4fe2-8835-baa265682540' class='xr-var-data-in' type='checkbox'><label for='data-8240a9d4-e8ee-4fe2-8835-baa265682540' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "...\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]],\n",
-       "\n",
-       "        [[0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         ...,\n",
-       "         [0., 0.],\n",
-       "         [0., 0.],\n",
-       "         [0., 0.]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MATRIX</span></div><div class='xr-var-dims'>(time, baseline_id, frequency, p, q)</div><div class='xr-var-dtype'>complex64</div><div class='xr-var-preview xr-preview'>(1+0j) 0j 0j ... 0j 0j (1+0j)</div><input id='attrs-c97f841d-b025-46cb-87f8-189cac63f62e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c97f841d-b025-46cb-87f8-189cac63f62e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40f2e403-f480-47e5-b80b-bb4d53c1566e' class='xr-var-data-in' type='checkbox'><label for='data-40f2e403-f480-47e5-b80b-bb4d53c1566e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         ...,\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]]],\n",
-       "\n",
-       "...\n",
-       "\n",
-       "        [[[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         ...,\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]],\n",
-       "\n",
-       "         [[1.+0.j, 0.+0.j],\n",
-       "          [0.+0.j, 1.+0.j]]]]], dtype=complex64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e79454b7-1658-45f8-810b-1f344f76bb00' class='xr-section-summary-in' type='checkbox'  ><label for='section-e79454b7-1658-45f8-810b-1f344f76bb00' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-704b3966-72ff-4c8e-90d5-662d79c69af0' class='xr-index-data-in' type='checkbox'/><label for='index-704b3966-72ff-4c8e-90d5-662d79c69af0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1503203604.4799995, 1503203607.9359999, 1503203611.3920002,\n",
-       "       1503203614.8479996, 1503203618.3040009, 1503203621.7600002,\n",
-       "       1503203625.2159996,  1503203628.671999, 1503203632.1280003,\n",
-       "       1503203635.5839996,\n",
-       "       ...\n",
-       "       1503210648.3360004, 1503210651.7919998, 1503210655.2480001,\n",
-       "       1503210658.7040005, 1503210662.1599998, 1503210665.6160002,\n",
-       "       1503210669.0720005, 1503210672.5279999, 1503210675.9839993,\n",
-       "       1503210679.4400005],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;, length=957))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>antenna</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-8f5cf159-7f0b-4c21-b06b-7c4c700a35ef' class='xr-index-data-in' type='checkbox'/><label for='index-8f5cf159-7f0b-4c21-b06b-7c4c700a35ef' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DA41_A110&#x27;, &#x27;DA42_A123&#x27;, &#x27;DA43_A115&#x27;, &#x27;DA44_A120&#x27;, &#x27;DA45_A091&#x27;,\n",
-       "       &#x27;DA46_A129&#x27;, &#x27;DA47_A074&#x27;, &#x27;DA48_A070&#x27;, &#x27;DA49_A127&#x27;],\n",
-       "      dtype=&#x27;object&#x27;, name=&#x27;antenna&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>frequency</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-df460ab8-c2ab-4928-b183-611c4960a24e' class='xr-index-data-in' type='checkbox'/><label for='index-df460ab8-c2ab-4928-b183-611c4960a24e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([86071554999.9, 86102804999.9, 86134054999.9, 86165304999.9,\n",
-       "       86196554999.9, 86227804999.9, 86259054999.9, 86290304999.9],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;frequency&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>polarization</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-3abaac04-6527-45bb-a653-1abaae855808' class='xr-index-data-in' type='checkbox'/><label for='index-3abaac04-6527-45bb-a653-1abaae855808' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;X&#x27;, &#x27;Y&#x27;], dtype=&#x27;object&#x27;, name=&#x27;polarization&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>scan_id</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c17f128c-6736-4d31-bbd9-4dcf4c0ce58e' class='xr-index-data-in' type='checkbox'/><label for='index-c17f128c-6736-4d31-bbd9-4dcf4c0ce58e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 2,  2,  2,  2,  2,  2,  2,  2,  2,  2,\n",
-       "       ...\n",
-       "       26, 26, 26, 26, 26, 26, 26, 26, 26, 26],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;scan_id&#x27;, length=957))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>baseline_id</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-19700de0-cc77-4b31-a401-c03ceba7a250' class='xr-index-data-in' type='checkbox'/><label for='index-19700de0-cc77-4b31-a401-c03ceba7a250' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;baseline_id&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4e750811-30d1-4f7f-9b1b-443e636d5e98' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4e750811-30d1-4f7f-9b1b-443e636d5e98' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>calibration_type :</span></dt><dd>gain</dd><dt><span>observation_info :</span></dt><dd>{&#x27;observer&#x27;: [&#x27;lknee&#x27;], &#x27;project&#x27;: &#x27;uid://A002/X1f841f/X21d&#x27;, &#x27;release_date&#x27;: &#x27;1858-11-17T00:00:00.000000000&#x27;}</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 14MB\n",
-       "Dimensions:       (time: 957, antenna: 9, frequency: 8, polarization: 2,\n",
-       "                   scan_id: 957, baseline_id: 45, p: 2, q: 2)\n",
-       "Coordinates:\n",
-       "  * time          (time) float64 8kB 1.503e+09 1.503e+09 ... 1.503e+09 1.503e+09\n",
-       "  * antenna       (antenna) <U9 324B 'DA41_A110' 'DA42_A123' ... 'DA49_A127'\n",
-       "  * frequency     (frequency) float64 64B 8.607e+10 8.61e+10 ... 8.629e+10\n",
-       "  * polarization  (polarization) <U1 8B 'X' 'Y'\n",
-       "  * scan_id       (scan_id) int64 8kB 2 2 2 2 2 2 2 2 ... 26 26 26 26 26 26 26\n",
-       "  * baseline_id   (baseline_id) int64 360B 0 1 2 3 4 5 6 ... 39 40 41 42 43 44\n",
-       "Dimensions without coordinates: p, q\n",
-       "Data variables:\n",
-       "    PARAMETER     (time, antenna, frequency, polarization) float64 1MB nan .....\n",
-       "    WEIGHT        (time, antenna, frequency, polarization) float64 1MB 0.0 .....\n",
-       "    FLAG          (time, antenna, frequency, polarization) float64 1MB 0.0 .....\n",
-       "    MATRIX        (time, baseline_id, frequency, p, q) complex64 11MB (1+0j) ...\n",
-       "Attributes:\n",
-       "    calibration_type:  gain\n",
-       "    observation_info:  {'observer': ['lknee'], 'project': 'uid://A002/X1f841f..."
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "jones"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "61c25afe-e3d9-4501-9999-ca7659342c84",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'G'"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "jones.gain.type"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "6bed63a8-5d93-408a-925d-e8e82c78f797",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(array([174.,  87.,  87.,  87.,   0., 174.,  87.,  87.,  87.,  87.]),\n",
-       " array([ 2. ,  4.4,  6.8,  9.2, 11.6, 14. , 16.4, 18.8, 21.2, 23.6, 26. ]),\n",
-       " <BarContainer object of 10 artists>)"
-      ]
-     },
-     "execution_count": 13,
-     "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"
-    }
-   ],
+   "outputs": [],
    "source": [
     "jones.scan_id.plot.hist()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "1d4b4f1a-3ea4-48f0-ad29-438807b49191",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x7efbc88c25c0>"
-      ]
-     },
-     "execution_count": 14,
-     "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"
-    }
-   ],
+   "outputs": [],
    "source": [
     "jones.frequency.plot.scatter()"
    ]
diff --git a/src/calviper/math/tools.py b/src/calviper/math/tools.py
index 95e14dd..6879e46 100644
--- a/src/calviper/math/tools.py
+++ b/src/calviper/math/tools.py
@@ -4,7 +4,9 @@
 
 import toolviper.utils.logger as logger
 
-from typing import Union, List
+from typing import Union, List, Any
+
+from sklearn.preprocessing import LabelEncoder
 
 
 def ravel(array: np.ndarray):
@@ -42,7 +44,7 @@ def unravel(array: np.ndarray) -> Union[np.ndarray, None]:
     return array.reshape(shape_)
 
 
-def encode(antennas: Union[List[str], np.ndarray]) -> tuple[np.ndarray, np.ndarray]:
+def encode(antennas: Union[List[str], np.ndarray]) -> tuple[LabelEncoder, Any]:
     """
     Encode the antenna names into a list of unique integers identifiers.
     :param antennas: list of antennas to encode
@@ -56,7 +58,8 @@ def encode(antennas: Union[List[str], np.ndarray]) -> tuple[np.ndarray, np.ndarr
 
     encoder.fit(names)
 
-    return encoder.transform(antennas), encoder.classes_
+    #return encoder.transform(antennas), encoder.classes_
+    return encoder, encoder.classes_
 
 
 def compute_index(ant, chan, pol, shape=None):
@@ -125,7 +128,7 @@ def build_visibility_matrix(array: np.ndarray, index_a: np.ndarray, index_b: np.
     size = index_a.shape[0]
 
     # Determine the number of unique antennas
-    n_antennas = np.unique(index_a).shape[0]
+    n_antennas = np.union1d(index_a, index_b).shape[0]
 
     # Dimensions are (n_baselines, n_channel, n_polarization) but we are replacing the first index with n_antenna
     _, n_channel, n_polarization = array.shape
diff --git a/testing.ipynb b/testing.ipynb
index 09cbefc..4db50c9 100644
--- a/testing.ipynb
+++ b/testing.ipynb
@@ -57,7 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 4,
    "id": "868b54cd-e0db-4243-bd26-aee45746b24a",
    "metadata": {},
    "outputs": [
@@ -67,7 +67,7 @@
        "(10,)"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -122,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 7,
    "id": "49ad6a73-c7c8-4cb4-b379-264bdcdd8ddb",
    "metadata": {},
    "outputs": [
@@ -132,7 +132,7 @@
        "(10, 10)"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -159,10 +159,15 @@
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[\u001b[38;2;128;05;128m2024-12-20 11:08:59,403\u001b[0m] \u001b[38;2;50;50;205m    INFO\u001b[0m\u001b[38;2;112;128;144m    viperlog: \u001b[0m Iteration: (5)\tStopping criterion reached: 0.009207611105772 \n"
+     "ename": "ValueError",
+     "evalue": "not enough values to unpack (expected 4, got 2)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[9], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m g \u001b[38;5;241m=\u001b[39m \u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolve\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[43m    \u001b[49m\u001b[43mvis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[43miterations\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      4\u001b[0m \u001b[43m    \u001b[49m\u001b[43moptimizer\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcv\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptimizer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mMeanSquaredError\u001b[49m\u001b[43m(\u001b[49m\u001b[43malpha\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstopping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1e-2\u001b[39;49m\n\u001b[1;32m      6\u001b[0m \u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/Development/calviper/src/calviper/math/solver/least_squares.py:94\u001b[0m, in \u001b[0;36mLeastSquaresSolver.solve\u001b[0;34m(self, vis, iterations, optimizer, stopping)\u001b[0m\n\u001b[1;32m     90\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msolve\u001b[39m(\u001b[38;5;28mself\u001b[39m, vis, iterations, optimizer\u001b[38;5;241m=\u001b[39mMeanSquaredError(), stopping\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1e-3\u001b[39m):\n\u001b[1;32m     91\u001b[0m     \u001b[38;5;66;03m# This is an attempt to do the solving in a vectorized way\u001b[39;00m\n\u001b[1;32m     92\u001b[0m \n\u001b[1;32m     93\u001b[0m     \u001b[38;5;66;03m# Unpack the shape\u001b[39;00m\n\u001b[0;32m---> 94\u001b[0m     n_channel, n_polarization, n_antenna1, n_antenna2 \u001b[38;5;241m=\u001b[39m vis\u001b[38;5;241m.\u001b[39mshape\n\u001b[1;32m     96\u001b[0m     \u001b[38;5;28;01massert\u001b[39;00m n_antenna1 \u001b[38;5;241m==\u001b[39m n_antenna2, logger\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAntenna indices don\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt match\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     98\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameter \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mtile(\u001b[38;5;241m0.1\u001b[39m \u001b[38;5;241m*\u001b[39m np\u001b[38;5;241m.\u001b[39mones(n_antenna1, dtype\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39mcomplex64), reps\u001b[38;5;241m=\u001b[39m[n_channel, n_polarization, \u001b[38;5;241m1\u001b[39m])\n",
+      "\u001b[0;31mValueError\u001b[0m: not enough values to unpack (expected 4, got 2)"
      ]
     }
    ],
@@ -177,153 +182,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "9d70e83d-e18a-47dd-b4c5-ddd26721cd52",
    "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>name</th>\n",
-       "      <th>intents</th>\n",
-       "      <th>shape</th>\n",
-       "      <th>polarization</th>\n",
-       "      <th>scan_number</th>\n",
-       "      <th>spw_name</th>\n",
-       "      <th>field_name</th>\n",
-       "      <th>source_name</th>\n",
-       "      <th>line_name</th>\n",
-       "      <th>field_coords</th>\n",
-       "      <th>start_frequency</th>\n",
-       "      <th>end_frequency</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>gaincaltest2_0</td>\n",
-       "      <td>[CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...</td>\n",
-       "      <td>(957, 45, 8, 4)</td>\n",
-       "      <td>[XX, XY, YX, YY]</td>\n",
-       "      <td>[2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]</td>\n",
-       "      <td>X0000000000#ALMA_RB_03#BB_1#SW-01#FULL_RES_0</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[icrs, 22h55m57.68s, -35d00m00.00s]</td>\n",
-       "      <td>8.607155e+10</td>\n",
-       "      <td>8.629030e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>gaincaltest2_2</td>\n",
-       "      <td>[CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...</td>\n",
-       "      <td>(957, 45, 8, 4)</td>\n",
-       "      <td>[XX, XY, YX, YY]</td>\n",
-       "      <td>[2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]</td>\n",
-       "      <td>X0000000000#ALMA_RB_03#BB_2#SW-01#FULL_RES_1</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[icrs, 22h55m57.68s, -35d00m00.00s]</td>\n",
-       "      <td>8.794655e+10</td>\n",
-       "      <td>8.816530e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>gaincaltest2_4</td>\n",
-       "      <td>[CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...</td>\n",
-       "      <td>(957, 45, 8, 4)</td>\n",
-       "      <td>[XX, XY, YX, YY]</td>\n",
-       "      <td>[2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]</td>\n",
-       "      <td>X0000000000#ALMA_RB_03#BB_3#SW-01#FULL_RES_2</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[icrs, 22h55m57.68s, -35d00m00.00s]</td>\n",
-       "      <td>9.632156e+10</td>\n",
-       "      <td>9.654030e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>gaincaltest2_6</td>\n",
-       "      <td>[CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...</td>\n",
-       "      <td>(957, 45, 8, 4)</td>\n",
-       "      <td>[XX, XY, YX, YY]</td>\n",
-       "      <td>[2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]</td>\n",
-       "      <td>X0000000000#ALMA_RB_03#BB_4#SW-01#FULL_RES_3</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[J2255-3500_0]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[icrs, 22h55m57.68s, -35d00m00.00s]</td>\n",
-       "      <td>9.819656e+10</td>\n",
-       "      <td>9.841530e+10</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             name                                            intents  \\\n",
-       "1  gaincaltest2_0  [CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...   \n",
-       "0  gaincaltest2_2  [CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...   \n",
-       "3  gaincaltest2_4  [CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...   \n",
-       "2  gaincaltest2_6  [CALIBRATE_DELAY#ON_SOURCE, CALIBRATE_PHASE#ON...   \n",
-       "\n",
-       "             shape      polarization  \\\n",
-       "1  (957, 45, 8, 4)  [XX, XY, YX, YY]   \n",
-       "0  (957, 45, 8, 4)  [XX, XY, YX, YY]   \n",
-       "3  (957, 45, 8, 4)  [XX, XY, YX, YY]   \n",
-       "2  (957, 45, 8, 4)  [XX, XY, YX, YY]   \n",
-       "\n",
-       "                                scan_number  \\\n",
-       "1  [2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]   \n",
-       "0  [2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]   \n",
-       "3  [2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]   \n",
-       "2  [2, 4, 6, 9, 11, 14, 16, 18, 21, 23, 26]   \n",
-       "\n",
-       "                                       spw_name      field_name  \\\n",
-       "1  X0000000000#ALMA_RB_03#BB_1#SW-01#FULL_RES_0  [J2255-3500_0]   \n",
-       "0  X0000000000#ALMA_RB_03#BB_2#SW-01#FULL_RES_1  [J2255-3500_0]   \n",
-       "3  X0000000000#ALMA_RB_03#BB_3#SW-01#FULL_RES_2  [J2255-3500_0]   \n",
-       "2  X0000000000#ALMA_RB_03#BB_4#SW-01#FULL_RES_3  [J2255-3500_0]   \n",
-       "\n",
-       "      source_name line_name                         field_coords  \\\n",
-       "1  [J2255-3500_0]        []  [icrs, 22h55m57.68s, -35d00m00.00s]   \n",
-       "0  [J2255-3500_0]        []  [icrs, 22h55m57.68s, -35d00m00.00s]   \n",
-       "3  [J2255-3500_0]        []  [icrs, 22h55m57.68s, -35d00m00.00s]   \n",
-       "2  [J2255-3500_0]        []  [icrs, 22h55m57.68s, -35d00m00.00s]   \n",
-       "\n",
-       "   start_frequency  end_frequency  \n",
-       "1     8.607155e+10   8.629030e+10  \n",
-       "0     8.794655e+10   8.816530e+10  \n",
-       "3     9.632156e+10   9.654030e+10  \n",
-       "2     9.819656e+10   9.841530e+10  "
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ps = ms.open_processing_set(\"data/gaincaltest2.ps.zarr\")\n",
     "\n",
@@ -333,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "343f09c9-5a90-4943-876f-0057fee9acc9",
    "metadata": {},
    "outputs": [],
@@ -343,7 +205,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "da4a4577-a028-4946-8d36-e9e64799ed3f",
    "metadata": {},
    "outputs": [],
@@ -353,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "28118277-bed8-4d2c-be6c-2f822ce7953c",
    "metadata": {},
    "outputs": [],
@@ -385,7 +247,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "d2b92546-84f4-4fc1-8d09-6febcc53a943",
    "metadata": {},
    "outputs": [],
@@ -423,21 +285,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "9c1f3593-91e2-49c1-b9b6-1b48e99c28bc",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(10, 10)"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "vis_array = V[:, 0, 0]\n",
     "\n",