https://casaguides.nrao.edu/api.php?hidebots=1&urlversion=1&days=30&limit=50&action=feedrecentchanges&feedformat=atomCASA Guides - Recent changes [en]2024-03-28T10:45:04ZTrack the most recent changes to the wiki in this feed.MediaWiki 1.38.6https://casaguides.nrao.edu/index.php?title=Automasking_Guide_CASA_6.5.4&diff=36858&oldid=36845Automasking Guide CASA 6.5.42024-03-27T23:46:02Z<p><span dir="auto"><span class="autocomment">Make a Dirty Cube and Determine RMS</span></span></p>
<a href="https://casaguides.nrao.edu/index.php?title=Automasking_Guide_CASA_6.5.4&diff=36858&oldid=36845">Show changes</a>Estarrhttps://casaguides.nrao.edu/index.php?title=File:Twhya_dirtycube.image.rms_CASA_6.5.4.png&diff=36846&oldid=0File:Twhya dirtycube.image.rms CASA 6.5.4.png2024-03-27T22:58:46Z<p><a href="/index.php?title=User:Estarr&action=edit&redlink=1" class="new mw-userlink" title="User:Estarr (page does not exist)"><bdi>Estarr</bdi></a> uploaded <a href="/index.php?title=File:Twhya_dirtycube.image.rms_CASA_6.5.4.png" title="File:Twhya dirtycube.image.rms CASA 6.5.4.png">File:Twhya dirtycube.image.rms CASA 6.5.4.png</a></p>
<p><b>New page</b></p><div></div>Estarrhttps://casaguides.nrao.edu/index.php?title=Automasking_Guide_CASA_6.5.4&diff=36845&oldid=36768Automasking Guide CASA 6.5.42024-03-27T22:26:51Z<p><span dir="auto"><span class="autocomment">Make a Dirty Cube</span></span></p>
<a href="https://casaguides.nrao.edu/index.php?title=Automasking_Guide_CASA_6.5.4&diff=36845&oldid=36768">Show changes</a>Estarrhttps://casaguides.nrao.edu/index.php?title=ACA_Simulation_CASA_6.5.4&diff=36834&oldid=36820ACA Simulation CASA 6.5.42024-03-27T17:33:52Z<p><span dir="auto"><span class="autocomment">Deconvolve the visibilities back into an image</span></span></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><font color="red"></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><font color="red"></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>WARNING: {{simanalyze_6.5.4}} <del style="font-weight: bold; text-decoration: none;">does not run correctly </del>in CASA 6 <del style="font-weight: bold; text-decoration: none;">at this time</del>. This section is validated for CASA 5.6.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>WARNING: <ins style="font-weight: bold; text-decoration: none;">There is a [https://casadocs.readthedocs.io/en/latest/notebooks/introduction.html#simobserve-/-simanalyze known issue] with </ins>{{simanalyze_6.5.4}} in CASA 6. This section is validated for CASA 5.6.</div></td></tr>
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</table>Estarrhttps://casaguides.nrao.edu/index.php?title=DataWeightsAndCombination&diff=36833&oldid=36830DataWeightsAndCombination2024-03-26T23:23:12Z<p><span dir="auto"><span class="autocomment">Weights in CASA</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:23, 26 March 2024</td>
</tr><tr><td colspan="4" class="diff-multi" lang="en">(One intermediate revision by the same user not shown)</td></tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l51">Line 51:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Weights in CASA ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Weights in CASA ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>A memo describing weights in CASA, in particular the significant changes that were made with CASA 4.2.2, can be found at [http://casa.nrao.edu/Memos/CASA-data-weights.pdf CASA-data-weights.pdf]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Data weights are described in the CASA Docs here: [https://casadocs.readthedocs.io/en/v6.5.4/notebooks/data_weights.html data weights]</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"><!-- </ins>A memo describing weights in CASA, in particular the significant changes that were made with CASA 4.2.2, can be found at [http://casa.nrao.edu/Memos/CASA-data-weights.pdf CASA-data-weights.pdf] <ins style="font-weight: bold; text-decoration: none;">--></ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>To summarize the situation specifically for ALMA data processed by the ALMA Project:</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>To summarize the situation specifically for ALMA data processed by the ALMA Project:</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Example of Correcting Weights Using Option 3 (statwt)==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Example of Correcting Weights Using Option 3 (statwt)==</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:12m_calwtF_WT.png|200px|thumb|right|<caption> M100 12m-array WT vs uvdist after calwt=False for amplitude gains. </caption>]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:12m_calwtF_WT.png|200px|thumb|right|<caption> M100 12m-array WT vs uvdist after calwt=False for amplitude gains. </caption>]]</div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:7m_calwtF_WT.png|200px|thumb|right|<caption> M100 7m-array WT vs uvdist after calwt=False for amplitude gains.</caption>]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:7m_calwtF_WT.png|200px|thumb|right|<caption> M100 7m-array WT vs uvdist after calwt=False for amplitude gains.</caption>]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:12m_amp_ch_Spw0.png|200px|thumb|right|<caption> M100 12m-array amplitude vs channel. </caption>]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:12m_amp_ch_Spw0.png|200px|thumb|right|<caption> M100 12m-array amplitude vs channel. </caption>]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:7m_amp_ch.png|200px|thumb|right|<caption> M100 7m-array amplitude vs channel. </caption>]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:7m_amp_ch.png|200px|thumb|right|<caption> M100 7m-array amplitude vs channel. </caption>]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>This is an example of running {{statwt_6.5.4}} on the M100 SV data. The starting point was data calibrated as if it had been manually calibrated in CASA 4.2.2, i.e. CASE 2b calwt=False for the gains. Note for this starting point, the 7m data actually have ''higher'' weight than the 12m data. This is because the average Tsys were similar but the visibility integration time of the 7m data is 10.1 versus 6.048s for the 12m data (see {{listobs_6.5.4}} outputs in previous section). Imaging these data would work very poorly because as already described, the 7m should actually have weights &approx; 0.193 times lower than the 12m data.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>This is an example of running {{statwt_6.5.4}} on the M100 SV data. The starting point was data calibrated as if it had been manually calibrated in CASA 4.2.2, i.e. CASE 2b calwt=False for the gains. Note for this starting point, the 7m data actually have ''higher'' weight than the 12m data. This is because the average Tsys were similar but the visibility integration time of the 7m data is 10.1 versus 6.048s for the 12m data (see {{listobs_6.5.4}} outputs in previous section). Imaging these data would work very poorly because as already described, the 7m should actually have weights &approx; 0.193 times lower than the 12m data.</div></td></tr>
</table>Estarrhttps://casaguides.nrao.edu/index.php?title=Template:Statwt_6.5.4&diff=36831&oldid=0Template:Statwt 6.5.42024-03-26T23:13:27Z<p>Created page with "[https://casadocs.readthedocs.io/en/v6.5.4/api/tt/casatasks.manipulation.statwt.html statwt]"</p>
<p><b>New page</b></p><div>[https://casadocs.readthedocs.io/en/v6.5.4/api/tt/casatasks.manipulation.statwt.html statwt]</div>Estarrhttps://casaguides.nrao.edu/index.php?title=DataWeightsAndCombination&diff=36830&oldid=30881DataWeightsAndCombination2024-03-26T23:10:56Z<p></p>
<a href="https://casaguides.nrao.edu/index.php?title=DataWeightsAndCombination&diff=36830&oldid=30881">Show changes</a>Estarrhttps://casaguides.nrao.edu/index.php?title=M100_Band3&diff=36825&oldid=36433M100 Band32024-03-26T22:56:56Z<p><span dir="auto"><span class="autocomment">M100 Data Combination Tutorial</span></span></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== M100 Data Combination Tutorial ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== M100 Data Combination Tutorial ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>A tutorial describing how to combine the M100 data from the 12m main array and the ACA (7m array + Total Power) using '''CASA version 6.5.4''' can be found here: [<del style="font-weight: bold; text-decoration: none;">https://casaguides.nrao.edu/index.php/</del>M100_Band3_Combine <del style="font-weight: bold; text-decoration: none;">M100 Combine CASA</del>].</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>A tutorial describing how to combine the M100 data from the 12m main array and the ACA (7m array + Total Power) using '''CASA version 6.5.4''' can be found here: [<ins style="font-weight: bold; text-decoration: none;">[</ins>M100_Band3_Combine<ins style="font-weight: bold; text-decoration: none;">]</ins>].</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Previous versions of the tutorial are here: </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Previous versions of the tutorial are here: </div></td></tr>
</table>Estarrhttps://casaguides.nrao.edu/index.php?title=Simulating_Observations_in_CASA_3.3&diff=36824&oldid=15843Simulating Observations in CASA 3.32024-03-26T22:52:14Z<p><span dir="auto"><span class="autocomment">Tutorials, Recipes, and Example images</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 18:52, 26 March 2024</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>! [[ACA Simulation]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>! [[ACA Simulation <ins style="font-weight: bold; text-decoration: none;">(CASA 3.3)</ins>]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| rowspan=2; style="border-bottom:1px solid black;" | [[File:M51c.ALMA 0.5arcsec.skymodel.png|100px]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| rowspan=2; style="border-bottom:1px solid black;" | [[File:M51c.ALMA 0.5arcsec.skymodel.png|100px]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr>
</table>Estarrhttps://casaguides.nrao.edu/index.php?title=ACA_Simulation&diff=36822&oldid=0ACA Simulation2024-03-26T22:51:51Z<p><a href="/index.php?title=User:Estarr&action=edit&redlink=1" class="new mw-userlink" title="User:Estarr (page does not exist)"><bdi>Estarr</bdi></a> moved page <a href="/index.php?title=ACA_Simulation&redirect=no" class="mw-redirect" title="ACA Simulation">ACA Simulation</a> to <a href="/index.php?title=ACA_Simulation_(CASA_3.3)" title="ACA Simulation (CASA 3.3)">ACA Simulation (CASA 3.3)</a></p>
<p><b>New page</b></p><div>{{Simulations Intro}}<br />
[[Category: Simulations]]<br />
<br />
To create a script of the Python code on this page see [[Extracting scripts from these tutorials]].<br />
__NOTOC__<br />
== ALMA 12m + ACA + Total Power ==<br />
<br />
Multiple configurations, or an observation in one 12m configuration plus one ACA observation, or <br />
other combinations, can be simulated by running sim_observe for each, and then combining the <br />
Measurement Sets to run sim_analyze. Total power observations can be simulated either in an independent run of sim_observe, or along with an interferometric simulation. Note that if you simulate total power and an interferometric observation simultaneously with sim_observe, they must have the same set of pointing centers and the same integration and total time, which is probably not realistic. (For example it is generally recommended to observe a larger area by 1/2 primary beam in total power mode to combine with a 12m ALMA mosaic).<br />
<br />
=====Set sim_observe as current task=====<br />
Reset all parameters to default, and then set the project name to m51c<br />
<source lang="python"><br />
# Set sim_observe to default parameters<br />
default("sim_observe")<br />
# Our project name will be m51c, and all simulation products will be placed in a subdirectory m51c/<br />
project="m51c"<br />
</source> <br />
=====Specify sky model image=====<br />
We'll use an Halpha image of M51 as an example model sky. Download [[File:M51ha.fits.txt]] and place in your working directory, or use the curl command in the script.<br />
<br />
sim_observe will make a copy m51c/m51c.skymodel, and not modify your input image.<br />
<source lang="python"><br />
# Model sky = Halpha image of M51 <br />
os.system('curl http://casaguides.nrao.edu/images/3/3f/M51ha.fits.txt -f -o M51ha.fits.txt')<br />
skymodel = "M51ha.fits.txt"<br />
</source> <br />
Although the image has a world coordinate system, we want to override most of the parameters.<br />
* We'll place the source in the southern hemisphere with the indirection parameter, <br />
* set the pixel size to 0.1arcsec, effectively moving the galaxy further away (M51 itself would require a quite large mosaic, and in any case we need for the input model pixels to be significantly smaller than the synthesized beam that we'll be simulating, or else we won't be learning anything)<br />
* consistent with simulating a more distant source, we'll set the peak brightness to 0.004 Jy/pixel<br />
* set the frequency to 330GHz, and since its a 2D image we'll set the single "channel" width to be 50MHz, and peak brightness of 0.004 Jy/pixel - parameters plausible for observing an emission line in a galaxy.<br />
<source lang="python"><br />
# Set model image parameters:<br />
indirection="B1950 23h59m59.96s -34d59m59.50s"<br />
incell="0.1arcsec"<br />
inbright="0.004"<br />
incenter="330.076GHz"<br />
inwidth="50MHz"<br />
</source><br />
<br />
<br />
----<br />
<br />
====Simulate 12m interferometric observation====<br />
[[Image:M51c.ALMA_0.5arcsec.skymodel.png|thumb|hexagonal mosaic overplotted on sky model]]<br />
<br />
We'll begin with the 12m ALMA array observation, and have sim_observe calculate a hexagonal mosaic of pointings.<br />
<br />
The default interface for sim_observe provides an integration parameter, which is the dwell time at each mosaic pointing -- we'll set that to 10s. A real observation would integrate a scan of ~5 min at each mosaic pointing; we could set integration="5min" but then for data volume and speed, sim_observe would only generate one measurement per 5min scan. While thermal noise levels would be scaled correctly, corruption of the data with a phase screen, or the details of uv coverage, would not be realistic. Rotating through the mosaic more rapidly than a real simulation will result in more representative uv coverage. If you wish to simulate the more realistic case such as 5 min scans with 5s integrations, please see [[Complex pointingtable]] for a guide to doing that with sim_observe (Its not hard, it just takes two calls to the task instead of one).<br />
<br />
<source lang="python"><br />
# have sim_observe calculate mosaic pointing locations:<br />
setpointings = True<br />
integration = "10s"<br />
mapsize = "1arcmin"<br />
maptype = "hex"<br />
pointingspacing = "9arcsec" # this could also be specified in units of the primary beam e.g. "0.5PB"<br />
</source> <br />
<br />
=====Calculate Visibilities=====<br />
sim_observe can determine what array configuration to use, if you provide a desired resolution or synthesized beam size. <br />
<source lang="python"><br />
observe = True<br />
antennalist = "ALMA;0.5arcsec"<br />
totaltime = "3600s"<br />
</source><br />
<br />
run sim_observe, displaying graphics to screen and file (files can be found in the project directory, e.g. m51c)<br />
<br />
<source lang="python"><br />
graphics = "both"<br />
go<br />
</source><br />
<br />
<br />
----<br />
<br />
====Simulate 12m total power observation====<br />
[[Image:M51c.aca.tp.skymodel.png|thumb|rectangular map overplotted on sky model]]<br />
<br />
Next we'll simulate a total power raster map of the same area, but on a more realistic square grid. CASA simulation tools can not simulate <br />
true on-the-fly mapping (with smearing on timescales smaller than an integration time), but a square grid with a short integration time <br />
will provide a very accurate approximation.<br />
<br />
By virtue of CASA's global parameters, we already have project and image world coordinate system parameters set correctly. <br />
<br />
We need to change the pointing calculation to make it square and a bit larger than the interferometric map.<br />
<source lang="python"><br />
integration = "10s"<br />
mapsize = "1.3arcmin"<br />
maptype = "square"<br />
</source> <br />
<br />
We'll observe on a different day (this doesn't really matter, but if you choose to simulate two different 12m ALMA configurations and combine them, if they're simulated on the same day with the same antenna names you will have issues concatenating the datasets, so its a good habit to change the day)<br />
<br />
<source lang="python"><br />
sdantlist = "aca.tp.cfg"<br />
sdant = 0<br />
refdate = "2012/12/01"<br />
# SET interferometric antennalist to default, or else we'll redo the interferometric simulation too<br />
antennalist = ""<br />
totaltime = "2h"<br />
</source><br />
<br />
run sim_observe, displaying graphics to screen and file<br />
<br />
<source lang="python"><br />
go<br />
</source><br />
<br />
<br />
----<br />
<br />
====Simulate 7m ACA observation====<br />
[[Image:M51c.aca.i.skymodel.png|thumb|hexagonal map overplotted on sky model]]<br />
<br />
Next we'll add an ACA mosaic, with its larger primary beam.<br />
<br />
<source lang="python"><br />
integration = "10s"<br />
mapsize = "1arcmin"<br />
maptype = "hex"<br />
pointingspacing = "15arcsec"<br />
</source> <br />
<br />
We can specify an integral number of times to repeat the mosaic by setting totaltime to an integer string without units.<br />
<br />
<source lang="python"><br />
# remember to set this back to empty<br />
sdantlist = ""<br />
refdate = "2012/12/02"<br />
antennalist = "aca.i.cfg"<br />
totaltime = "3"<br />
</source><br />
<br />
run sim_observe, displaying graphics to screen and file<br />
<br />
<source lang="python"><br />
go<br />
</source><br />
<br />
<br />
----<br />
<br />
====Deconvolve the visibilities back into an image====<br />
<br />
We use sim_analyze to take the three measurement sets and create a single image. <br />
<br />
There are many ways to do this, and the project is NOT making any recommendation yet at this time about what is optimal. Please discuss with your ARC contact scientist if you have ALMA data now, or wait for additional recommendations to be posted here over time.<br />
<br />
* We will use the total power image as a model when deconvolving the ACA image, and then use the result as a model when deconvolving the 12m interferometric image. This tends to give low weight to the large spatial scales, but is simple to illustrate.<br />
* Improved results would result if one used multiscale clean, in the clean task (again using the lower resolution image as a model when deconvolving the higher resolution one)<br />
* An alternative would be to create each image independently, and then use the CASA feather task to combine them entirely in the image plane.<br />
<br />
sim_analyze, if given a total power and interferometric measurement set, will automatically create the total power image, <br />
then use it as a model and deconvolve the interferometric image. It is not recommended to do both interferometric images simultaneously.<br />
<br />
====First image total power and ACA with total power as a model====<br />
[[Image:M51c.aca.i.analysis.png|thumb|Total power combined (with relatively low weight) with ACA]]<br />
<br />
<source lang="python"><br />
default("sim_analyze")<br />
project = "m51c"<br />
vis = '$project.aca.i.ms,$project.aca.tp.sd.ms' <br />
imsize = [512,512]<br />
cell = '0.2arcsec'<br />
analyze = True<br />
showpsf = False<br />
showresidual = False<br />
showconvolved = True<br />
go()<br />
</source><br />
<br />
<br />
<br />
<br />
<br />
====Next add the 12m interferometric data====<br />
[[Image:M51c.ALMA_0.5arcsec.analysis.png|thumb|TP+ACA combined (with relatively low weight) with 12m ALMA]]<br />
Here we explicitly have to set the modelimage to the previous output.<br />
<br />
<source lang="python"><br />
default("sim_analyze")<br />
project = "m51c"<br />
vis = '$project.ALMA_0.5arcsec.ms'<br />
imsize = [512,512]<br />
cell = '0.1arcsec'<br />
modelimage = "$project.aca.i.image"<br />
analyze = True<br />
showpsf = False<br />
showresidual = False<br />
showconvolved = True<br />
go()<br />
</source><br />
<br />
<br />
{{Simulations Intro}}</div>Estarrhttps://casaguides.nrao.edu/index.php?title=Simalma_CASA_6.5.4&diff=36821&oldid=36814Simalma CASA 6.5.42024-03-26T22:48:14Z<p><span dir="auto"><span class="autocomment">Simulating Observations with the Main 12 m Array and the ACA: Manual Combination of the Data</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 18:48, 26 March 2024</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One could simulate observations that use the main array plus the ACA by generating the data for each component separately and then "manually" combining and imaging the data. The approach is to use '''simobserve''' to generate simulated uv data sets for each component separately, and then combine and image the resulting Measurement Sets using {{simanalyze_6.5.4}}. This technique is general and can be used to simulate observations using multiple 12m array configurations, as well. Total power observations can be simulated either in an independent run of '''simobserve''', or integrated with one of the interferometric simulations. Note that if you simulate total power and interferometric observations simultaneously with '''simobserve''', they must have the same set of pointing centers and the same integration and total time. These are not realistic conditions. For example, to reduce edge effects, the Total Power antennas should observe a larger area on the sky than the main array antennas, by about 1/2 of a primary beam. So, it is generally better to generate the total power data with a separate run of '''simobserve'''.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One could simulate observations that use the main array plus the ACA by generating the data for each component separately and then "manually" combining and imaging the data. The approach is to use '''simobserve''' to generate simulated uv data sets for each component separately, and then combine and image the resulting Measurement Sets using {{simanalyze_6.5.4}}. This technique is general and can be used to simulate observations using multiple 12m array configurations, as well. Total power observations can be simulated either in an independent run of '''simobserve''', or integrated with one of the interferometric simulations. Note that if you simulate total power and interferometric observations simultaneously with '''simobserve''', they must have the same set of pointing centers and the same integration and total time. These are not realistic conditions. For example, to reduce edge effects, the Total Power antennas should observe a larger area on the sky than the main array antennas, by about 1/2 of a primary beam. So, it is generally better to generate the total power data with a separate run of '''simobserve'''.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>This "manual" method of combining main-array data with ACA data is described in the [[<del style="font-weight: bold; text-decoration: none;">ACA_Simulation</del>]] guide. <del style="font-weight: bold; text-decoration: none;"> </del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>This "manual" method of combining main-array data with ACA data is described in the [[<ins style="font-weight: bold; text-decoration: none;">ACA_Simulation_CASA_6.5.4</ins>]] guide.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== The simalma task ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== The simalma task ==</div></td></tr>
</table>Estarrhttps://casaguides.nrao.edu/index.php?title=ACA_Simulation_CASA_6.5.4&diff=36820&oldid=36818ACA Simulation CASA 6.5.42024-03-26T22:47:32Z<p><span dir="auto"><span class="autocomment">Deconvolve the visibilities back into an image</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 18:47, 26 March 2024</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><div style="background-color: #E0FFFF; padding: 10px; font-family: 'Consolas', monospace;></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><div style="background-color: #E0FFFF; padding: 10px; font-family: 'Consolas', monospace;></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>If you decide to concatenate the two measurement sets and image all visibilities simultaneously, it is critical that the relative weights be set between the two different interferometric arrays. Simulated data has weights=1, since the thermal noise is generated uniformly per baseline. However, in reality the 7m baselines have lower sensitivity than the 12m baselines, and their weights must be decreased by that sensitivity ratio. {{simalma_6.5.4}} uses the '''visweightscale''' parameter of {{concat_6.5.4}} to apply that lower weight of (7./12)**2 to the 7m visibilities. If you wish to combine data manually, you must do this step yourself (see the [[<del style="font-weight: bold; text-decoration: none;">simalma</del>]] <del style="font-weight: bold; text-decoration: none;">guide</del>).</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>If you decide to concatenate the two measurement sets and image all visibilities simultaneously, it is critical that the relative weights be set between the two different interferometric arrays. Simulated data has weights=1, since the thermal noise is generated uniformly per baseline. However, in reality the 7m baselines have lower sensitivity than the 12m baselines, and their weights must be decreased by that sensitivity ratio. {{simalma_6.5.4}} uses the '''visweightscale''' parameter of {{concat_6.5.4}} to apply that lower weight of (7./12)**2 to the 7m visibilities. If you wish to combine data manually, you must do this step yourself (see the <ins style="font-weight: bold; text-decoration: none;">guide: </ins>[[<ins style="font-weight: bold; text-decoration: none;">simalma_CASA_6.5.4</ins>]]).</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td></tr>
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</table>Estarrhttps://casaguides.nrao.edu/index.php?title=Simulating_Observations_in_CASA_6.5.4&diff=36819&oldid=36811Simulating Observations in CASA 6.5.42024-03-26T22:37:56Z<p><span dir="auto"><span class="autocomment">Tutorials</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 18:37, 26 March 2024</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>! [[ACA Simulation <del style="font-weight: bold; text-decoration: none;">(</del>CASA 5.4<del style="font-weight: bold; text-decoration: none;">)</del>]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>! [[ACA Simulation CASA <ins style="font-weight: bold; text-decoration: none;">6.</ins>5.4]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| rowspan=2; style="border-bottom:1px solid black;" | [[File:M51c.ALMA 0.5arcsec.skymodel.png|100px]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| rowspan=2; style="border-bottom:1px solid black;" | [[File:M51c.ALMA 0.5arcsec.skymodel.png|100px]]</div></td></tr>
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</table>Estarrhttps://casaguides.nrao.edu/index.php?title=ACA_Simulation_CASA_6.5.4&diff=36818&oldid=36805ACA Simulation CASA 6.5.42024-03-26T22:36:37Z<p><span dir="auto"><span class="autocomment">Deconvolve the visibilities back into an image</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 18:36, 26 March 2024</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Next we use {{simanalyze_6.5.4}} to combine the three measurement sets and create a single image. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Next we use {{simanalyze_6.5.4}} to combine the three measurement sets and create a single image. </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"><font color="red"></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">WARNING: {{simanalyze_6.5.4}} does not run correctly in CASA 6 at this time. This section is validated for CASA 5.6.</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></font></ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>There are many ways to do this, and you may wish to discuss options with scientists at your ARC. In this example we will use the total power image as a model when deconvolving the ACA image, and then use the result as a model when deconvolving the 12m interferometric image. This method tends to give low weight to the large spatial scales, but is simple to illustrate.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>There are many ways to do this, and you may wish to discuss options with scientists at your ARC. In this example we will use the total power image as a model when deconvolving the ACA image, and then use the result as a model when deconvolving the 12m interferometric image. This method tends to give low weight to the large spatial scales, but is simple to illustrate.</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>====First image total power and ACA with total power as a model====</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>====First image total power and ACA with total power as a model====</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[Image:M51c.aca.i.analysis.<del style="font-weight: bold; text-decoration: none;">casa6.5</del>.4.png|thumb|Total power combined (with relatively low weight) with ACA]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[Image:M51c.aca.i.analysis.<ins style="font-weight: bold; text-decoration: none;">casa5</ins>.4.png|thumb|Total power combined (with relatively low weight) with ACA]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><source lang="python"></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><source lang="python"></div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>====Next add the 12m interferometric data====</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>====Next add the 12m interferometric data====</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[Image:M51c.ALMA_0.5arcsec.analysis.<del style="font-weight: bold; text-decoration: none;">casa6.5</del>.4.png|thumb|TP+ACA combined (with relatively low weight) with 12m ALMA]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[Image:M51c.ALMA_0.5arcsec.analysis.<ins style="font-weight: bold; text-decoration: none;">casa5</ins>.4.png|thumb|TP+ACA combined (with relatively low weight) with 12m ALMA]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Here we explicitly have to set the ''modelimage'' to the result from the previous run.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Here we explicitly have to set the ''modelimage'' to the result from the previous run.</div></td></tr>
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</table>Estarrhttps://casaguides.nrao.edu/index.php?title=Karl_G._Jansky_VLA_Tutorials&diff=36817&oldid=36698Karl G. Jansky VLA Tutorials2024-03-25T21:24:36Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 17:24, 25 March 2024</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Disclaimer: These tutorials provide guidelines to help users become familiar with VLA data reduction in [https://casa.nrao.edu/ CASA]. They offer examples for common general-use cases such as spectral line, continuum, linear polarization, and mosaicking. However, the results demonstrated here are specific to the given data sets. The VLA is an extremely flexible instrument, and the techniques presented here may not apply equally to every individual VLA data set, especially if the type of observations, quality of data, or imaging analysis are particularly different or complicated. More details about CASA and its tasks and tools are available in the [https://casa.nrao.edu/casadocs Online CASA Documentation]. Further assistance with VLA data reduction is available through the [https://help.nrao.edu/ NRAO HelpDesk].</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Disclaimer: These tutorials provide guidelines to help users become familiar with VLA data reduction in [https://casa.nrao.edu/ CASA]. They offer examples for common general-use cases such as spectral line, continuum, linear polarization, and mosaicking. However, the results demonstrated here are specific to the given data sets. The VLA is an extremely flexible instrument, and the techniques presented here may not apply equally to every individual VLA data set, especially if the type of observations, quality of data, or imaging analysis are particularly different or complicated. More details about CASA and its tasks and tools are available in the [https://casa.nrao.edu/casadocs Online CASA Documentation]. Further assistance with VLA data reduction is available through the [https://help.nrao.edu/ NRAO HelpDesk].</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">''For data reduction of pre-EVLA upgrade VLA data, we provide separate, [https://casaguides.nrao.edu/index.php/Pre-upgrade_VLA_Tutorials pre-upgrade VLA data reduction tutorials]''</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>''In addition to the current VLA CASA Guides below, we also provide links to [https://casaguides.nrao.edu/index.php/Karl_G._Jansky_VLA_Tutorials-archived older versions of the VLA CASA guides].''</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>''In addition to the current VLA CASA Guides below, we also provide links to [https://casaguides.nrao.edu/index.php/Karl_G._Jansky_VLA_Tutorials-archived older versions of the VLA CASA guides].''</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The VLA CASA Pipeline Guide provides an example of a VLA CASA pipeline run. Whereas the [https://science.nrao.edu/facilities/vla/data-processing/pipeline VLA Pipeline Web Page] describes the pipeline structure, requirements, execution options including restoration, pipeline output products, and pipeline modifications, this CASA guide is a detailed walkthrough of the weblog and provides interpretations of pipeline plots, tables, and Quality Assurance (QA) metrics. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The VLA CASA Pipeline Guide provides an example of a VLA CASA pipeline run. Whereas the [https://science.nrao.edu/facilities/vla/data-processing/pipeline VLA Pipeline Web Page] describes the pipeline structure, requirements, execution options including restoration, pipeline output products, and pipeline modifications, this CASA guide is a detailed walkthrough of the weblog and provides interpretations of pipeline plots, tables, and Quality Assurance (QA) metrics. </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></blockquote></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">== Pre-EVLA Data Reduction Guides ==</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"><blockquote></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">''For data reduction of pre-EVLA upgrade VLA data, we provide separate, [https://casaguides.nrao.edu/index.php/Pre-upgrade_VLA_Tutorials pre-upgrade VLA data reduction tutorials]''</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></blockquote></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></blockquote></div></td></tr>
</table>Tseelighttps://casaguides.nrao.edu/index.php?title=Guide_To_Simulating_ALMA_Data&diff=36816&oldid=36773Guide To Simulating ALMA Data2024-03-22T21:03:09Z<p><span dir="auto"><span class="autocomment">Sample Simulations</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 17:03, 22 March 2024</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! A Collection of Point Sources</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! A Collection of Point Sources</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>| style="border-bottom:1px solid black;" | This example shows a simulated observation of a model with multiple point sources. The "plus" symbols in the model image represent locations of the point sources. The panels in this example and those that follow show the model image and the simulated observation with an "extended" array on the top row. The bottom row shows an observation with a compact configuration, and then a compact configuration with the ACA included. The ellipse on the bottom left of the simulated data shows the synthesized beam size. The angular size of the image is <del style="font-weight: bold; text-decoration: none;">XX" by XX" (get this from Juergen)</del>. </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>| style="border-bottom:1px solid black;" | This example shows a simulated observation of a model with multiple point sources. The "plus" symbols in the model image represent locations of the point sources. The panels in this example and those that follow show the model image and the simulated observation with an "extended" array on the top row. The bottom row shows an observation with a compact configuration, and then a compact configuration with the ACA included. The ellipse on the bottom left of the simulated data shows the synthesized beam size. The angular size of the image is <ins style="font-weight: bold; text-decoration: none;">approximately 6x6 arcsec</ins>. </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>In general, it is preferable to observe closely-spaced compact sources with an extended configuration, as demonstrated in these simulations. Note that the ACA does not contribute significantly to this observation. It's main contribution comes in observing sources with relatively bright, diffuse emission in addition, perhaps, to compact targets.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>In general, it is preferable to observe closely-spaced compact sources with an extended configuration, as demonstrated in these simulations. Note that the ACA does not contribute significantly to this observation. It's main contribution comes in observing sources with relatively bright, diffuse emission in addition, perhaps, to compact targets.</div></td></tr>
</table>Estarrhttps://casaguides.nrao.edu/index.php?title=Template:Feather_6.5.4&diff=36815&oldid=36622Template:Feather 6.5.42024-03-22T19:32:05Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:32, 22 March 2024</td>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[https://casadocs.readthedocs.io/en/<del style="font-weight: bold; text-decoration: none;">stable</del>/api/tt/casatasks.imaging.feather.html feather]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[https://casadocs.readthedocs.io/en/<ins style="font-weight: bold; text-decoration: none;">v6.5.4</ins>/api/tt/casatasks.imaging.feather.html feather]</div></td></tr>
</table>Estarrhttps://casaguides.nrao.edu/index.php?title=Simalma_CASA_6.5.4&diff=36814&oldid=36809Simalma CASA 6.5.42024-03-22T19:29:45Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:29, 22 March 2024</td>
</tr><tr><td colspan="4" class="diff-multi" lang="en">(2 intermediate revisions by the same user not shown)</td></tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l12">Line 12:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Simulating Observations with the Main 12 m Array and the ACA: Manual Combination of the Data ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Simulating Observations with the Main 12 m Array and the ACA: Manual Combination of the Data ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>One could simulate observations that use the main array plus the ACA by generating the data for each component separately and then "manually" combining and imaging the data. The approach is to use '''simobserve''' to generate simulated uv data sets for each component separately, and then combine and image the resulting Measurement Sets using <del style="font-weight: bold; text-decoration: none;">'''simanalyze'''</del>. This technique is general and can be used to simulate observations using multiple 12m array configurations, as well. Total power observations can be simulated either in an independent run of '''simobserve''', or integrated with one of the interferometric simulations. Note that if you simulate total power and interferometric observations simultaneously with '''simobserve''', they must have the same set of pointing centers and the same integration and total time. These are not realistic conditions. For example, to reduce edge effects, the Total Power antennas should observe a larger area on the sky than the main array antennas, by about 1/2 of a primary beam. So, it is generally better to generate the total power data with a separate run of '''simobserve'''.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>One could simulate observations that use the main array plus the ACA by generating the data for each component separately and then "manually" combining and imaging the data. The approach is to use '''simobserve''' to generate simulated uv data sets for each component separately, and then combine and image the resulting Measurement Sets using <ins style="font-weight: bold; text-decoration: none;">{{simanalyze_6.5.4}}</ins>. This technique is general and can be used to simulate observations using multiple 12m array configurations, as well. Total power observations can be simulated either in an independent run of '''simobserve''', or integrated with one of the interferometric simulations. Note that if you simulate total power and interferometric observations simultaneously with '''simobserve''', they must have the same set of pointing centers and the same integration and total time. These are not realistic conditions. For example, to reduce edge effects, the Total Power antennas should observe a larger area on the sky than the main array antennas, by about 1/2 of a primary beam. So, it is generally better to generate the total power data with a separate run of '''simobserve'''.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>This "manual" method of combining main-array data with ACA data is described in the [[ACA_Simulation]] guide. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>This "manual" method of combining main-array data with ACA data is described in the [[ACA_Simulation]] guide. </div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== The simalma task ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== The simalma task ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The '''simalma''' task has been available in CASA since CASA version 4.1, but received an [https://casadocs.readthedocs.io/en/v4.7-v6.1/notebooks/introduction.html#Release-Notes-5.7/6.1 upgrade in CASA 6.1.1]. This task takes one set of parameters describing the region of the sky to observe, and makes the appropriate calls to '''simobserve''' and <del style="font-weight: bold; text-decoration: none;">'''simanalyze'''</del>. Here we give an example showing how to use '''simalma'''. </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The '''simalma''' task has been available in CASA since CASA version 4.1, but received an [https://casadocs.readthedocs.io/en/v4.7-v6.1/notebooks/introduction.html#Release-Notes-5.7/6.1 upgrade in CASA 6.1.1]. This task takes one set of parameters describing the region of the sky to observe, and makes the appropriate calls to '''simobserve''' and <ins style="font-weight: bold; text-decoration: none;">{{simanalyze_6.5.4}}</ins>. Here we give an example showing how to use '''simalma'''. </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=====Set simalma as current task=====</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=====Set simalma as current task=====</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==== Combine the UV data from the 3 components and make the final image ====</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==== Combine the UV data from the 3 components and make the final image ====</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Next {{simalma_6.5.4}} uses <del style="font-weight: bold; text-decoration: none;">'''simanalyze''' </del>to combine the three measurement sets and create a single image. It accomplishes this in the following manner.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Next {{simalma_6.5.4}} uses <ins style="font-weight: bold; text-decoration: none;">{{simanalyze_6.5.4}} </ins>to combine the three measurement sets and create a single image. It accomplishes this in the following manner.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>First, {{simalma_6.5.4}} concatenates the two sets of interferometric visibilities, and images them. Diagnostic graphics with "concat" in their names are generated:</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>First, {{simalma_6.5.4}} concatenates the two sets of interferometric visibilities, and images them. Diagnostic graphics with "concat" in their names are generated:</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Image:m51.concat.cycle8.3.image.png|thumb|Combined interferometric map ACA + single dish]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Image:m51.concat.cycle8.3.image.png|thumb|Combined interferometric map ACA + single dish]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Finally it combines the total power image with the concatenated interferometric image using the CASA task <del style="font-weight: bold; text-decoration: none;"><tt>feather</tt></del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Finally it combines the total power image with the concatenated interferometric image using the CASA task <ins style="font-weight: bold; text-decoration: none;">{{feather_6.5.4}}</ins>.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Note, there are many ways to combine data from separate observations. If you are dealing with real ALMA data, you may wish to discuss options with scientists at your ARC.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Note, there are many ways to combine data from separate observations. If you are dealing with real ALMA data, you may wish to discuss options with scientists at your ARC.</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># When combining interferometric data from different arrays "manually", it is critical to set the relative data weights properly. Simulated data have weights=1, since the thermal noise is generated uniformly per baseline. However, in reality the 7m baselines have lower sensitivity than the 12m baselines, and their weights must be decreased by the sensitivity ratio. {{simalma_6.5.4}} uses the <tt>visweightscale</tt> parameter of {{concat_6.5.4}} to apply that lower weight of (7/12)**2 to the 7m visibilities. If you wish to combine data manually, you must do this step yourself.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># When combining interferometric data from different arrays "manually", it is critical to set the relative data weights properly. Simulated data have weights=1, since the thermal noise is generated uniformly per baseline. However, in reality the 7m baselines have lower sensitivity than the 12m baselines, and their weights must be decreased by the sensitivity ratio. {{simalma_6.5.4}} uses the <tt>visweightscale</tt> parameter of {{concat_6.5.4}} to apply that lower weight of (7/12)**2 to the 7m visibilities. If you wish to combine data manually, you must do this step yourself.</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># When combining the single dish and interferometric maps in the image plane using the <del style="font-weight: bold; text-decoration: none;"><tt>feather</tt> </del>task, one must use the interferometric map ''without'' the primary beam correction, and first multiply the total power map by the interferometric sensitivity image (".flux") -- this ensures that noise effects are properly handled on the edges of each map. After running <del style="font-weight: bold; text-decoration: none;"><tt>feather</tt></del>, the output is masked to 0.2 times the interferometric primary beam, since the total power map was created larger than the interferometric map on purpose, so the edges of the combined image do not contain any interferometric information.:</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># When combining the single dish and interferometric maps in the image plane using the <ins style="font-weight: bold; text-decoration: none;">{{feather_6.5.4}} </ins>task, one must use the interferometric map ''without'' the primary beam correction, and first multiply the total power map by the interferometric sensitivity image (".flux") -- this ensures that noise effects are properly handled on the edges of each map. After running <ins style="font-weight: bold; text-decoration: none;">{{feather_6.5.4}}</ins>, the output is masked to 0.2 times the interferometric primary beam, since the total power map was created larger than the interferometric map on purpose, so the edges of the combined image do not contain any interferometric information.:</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Image:m51.combine.cycle8.3.png|thumb|Combined map]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Image:m51.combine.cycle8.3.png|thumb|Combined map]]</div></td></tr>
</table>Masanchehttps://casaguides.nrao.edu/index.php?title=Simulating_Observations_in_CASA_6.5.4&diff=36811&oldid=36810Simulating Observations in CASA 6.5.42024-03-22T19:21:29Z<p><span dir="auto"><span class="autocomment">Tutorials</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:21, 22 March 2024</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><!-- ! [http://casaguides.nrao.edu/index.php?title=Simalma_v2 simalma] --></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><!-- ! [http://casaguides.nrao.edu/index.php?title=Simalma_v2 simalma] --></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>! [[Simalma <del style="font-weight: bold; text-decoration: none;">(</del>CASA 6.5.4<del style="font-weight: bold; text-decoration: none;">)</del>]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>! [[Simalma CASA 6.5.4]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| rowspan=2; style="border-bottom:1px solid black;" | [[File:M51c.ALMA 0.5arcsec.skymodel.png|100px]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| rowspan=2; style="border-bottom:1px solid black;" | [[File:M51c.ALMA 0.5arcsec.skymodel.png|100px]]</div></td></tr>
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</table>Estarrhttps://casaguides.nrao.edu/index.php?title=Simulating_Observations_in_CASA_6.5.4&diff=36810&oldid=36780Simulating Observations in CASA 6.5.42024-03-22T19:12:01Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:12, 22 March 2024</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><!-- ! [http://casaguides.nrao.edu/index.php?title=Simalma_v2 simalma] --></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><!-- ! [http://casaguides.nrao.edu/index.php?title=Simalma_v2 simalma] --></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>! [[Simalma (CASA 6.4<del style="font-weight: bold; text-decoration: none;">.1</del>)]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>! [[Simalma (CASA 6<ins style="font-weight: bold; text-decoration: none;">.5</ins>.4)]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| rowspan=2; style="border-bottom:1px solid black;" | [[File:M51c.ALMA 0.5arcsec.skymodel.png|100px]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| rowspan=2; style="border-bottom:1px solid black;" | [[File:M51c.ALMA 0.5arcsec.skymodel.png|100px]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr>
</table>Masanchehttps://casaguides.nrao.edu/index.php?title=Simalma_CASA_6.5.4&diff=36809&oldid=36807Simalma CASA 6.5.42024-03-22T19:11:12Z<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:11, 22 March 2024</td>
</tr><tr><td colspan="4" class="diff-multi" lang="en">(One intermediate revision by the same user not shown)</td></tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l14">Line 14:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One could simulate observations that use the main array plus the ACA by generating the data for each component separately and then "manually" combining and imaging the data. The approach is to use '''simobserve''' to generate simulated uv data sets for each component separately, and then combine and image the resulting Measurement Sets using '''simanalyze'''. This technique is general and can be used to simulate observations using multiple 12m array configurations, as well. Total power observations can be simulated either in an independent run of '''simobserve''', or integrated with one of the interferometric simulations. Note that if you simulate total power and interferometric observations simultaneously with '''simobserve''', they must have the same set of pointing centers and the same integration and total time. These are not realistic conditions. For example, to reduce edge effects, the Total Power antennas should observe a larger area on the sky than the main array antennas, by about 1/2 of a primary beam. So, it is generally better to generate the total power data with a separate run of '''simobserve'''.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One could simulate observations that use the main array plus the ACA by generating the data for each component separately and then "manually" combining and imaging the data. The approach is to use '''simobserve''' to generate simulated uv data sets for each component separately, and then combine and image the resulting Measurement Sets using '''simanalyze'''. This technique is general and can be used to simulate observations using multiple 12m array configurations, as well. Total power observations can be simulated either in an independent run of '''simobserve''', or integrated with one of the interferometric simulations. Note that if you simulate total power and interferometric observations simultaneously with '''simobserve''', they must have the same set of pointing centers and the same integration and total time. These are not realistic conditions. For example, to reduce edge effects, the Total Power antennas should observe a larger area on the sky than the main array antennas, by about 1/2 of a primary beam. So, it is generally better to generate the total power data with a separate run of '''simobserve'''.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>This "manual" method of combining main-array data with ACA data is described in the [[<del style="font-weight: bold; text-decoration: none;">ACA_Simulation_(CASA_5.4)</del>]] guide. </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>This "manual" method of combining main-array data with ACA data is described in the [[<ins style="font-weight: bold; text-decoration: none;">ACA_Simulation</ins>]] guide. </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== The simalma task ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== The simalma task ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The '''simalma''' task has been available in CASA since CASA version 4.1, but received an [https://<del style="font-weight: bold; text-decoration: none;">casa</del>.<del style="font-weight: bold; text-decoration: none;">nrao</del>.<del style="font-weight: bold; text-decoration: none;">edu</del>/<del style="font-weight: bold; text-decoration: none;">casadocs</del>/<del style="font-weight: bold; text-decoration: none;">casa</del>-<del style="font-weight: bold; text-decoration: none;">6</del>.1<del style="font-weight: bold; text-decoration: none;">.0</del>/introduction<del style="font-weight: bold; text-decoration: none;">/release</del>-<del style="font-weight: bold; text-decoration: none;">notes</del>-<del style="font-weight: bold; text-decoration: none;">610 </del>upgrade in CASA 6.1.1]. This task takes one set of parameters describing the region of the sky to observe, and makes the appropriate calls to '''simobserve''' and '''simanalyze'''. Here we give an example showing how to use '''simalma'''. </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The '''simalma''' task has been available in CASA since CASA version 4.1, but received an [https://<ins style="font-weight: bold; text-decoration: none;">casadocs</ins>.<ins style="font-weight: bold; text-decoration: none;">readthedocs</ins>.<ins style="font-weight: bold; text-decoration: none;">io</ins>/<ins style="font-weight: bold; text-decoration: none;">en</ins>/<ins style="font-weight: bold; text-decoration: none;">v4.7</ins>-<ins style="font-weight: bold; text-decoration: none;">v6</ins>.1<ins style="font-weight: bold; text-decoration: none;">/notebooks</ins>/introduction<ins style="font-weight: bold; text-decoration: none;">.html#Release</ins>-<ins style="font-weight: bold; text-decoration: none;">Notes</ins>-<ins style="font-weight: bold; text-decoration: none;">5.7/6.1 </ins>upgrade in CASA 6.1.1]. This task takes one set of parameters describing the region of the sky to observe, and makes the appropriate calls to '''simobserve''' and '''simanalyze'''. Here we give an example showing how to use '''simalma'''. </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=====Set simalma as current task=====</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=====Set simalma as current task=====</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Reset all parameters to default, then set the project name to ''m51'' and allow {{<del style="font-weight: bold; text-decoration: none;">simalma</del>}} to overwrite files</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Reset all parameters to default, then set the project name to ''m51'' and allow {{<ins style="font-weight: bold; text-decoration: none;">simalma_6.5.4</ins>}} to overwrite files</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><source lang="python"></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><source lang="python"></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># Set simalma to default parameters</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># Set simalma to default parameters</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Image:m51.alma.cycle8.3.skymodel.png|thumb|hexagonal mosaic overplotted on sky model]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Image:m51.alma.cycle8.3.skymodel.png|thumb|hexagonal mosaic overplotted on sky model]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>We will simulate observations using the main array in "configuration number 3" from Cycle 6. To that we will add the ACA cycle 6 array. This configuration affords ~0.5 arcsec resolution. Here is a [[<del style="font-weight: bold; text-decoration: none;">Antenna_Configurations_Models_in_CASA_Cycle9</del>| list of configuration files available in CASA 6.<del style="font-weight: bold; text-decoration: none;">4</del>]].</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>We will simulate observations using the main array in "configuration number 3" from Cycle 6. To that we will add the ACA cycle 6 array. This configuration affords ~0.5 arcsec resolution. Here is a [[<ins style="font-weight: bold; text-decoration: none;">Antenna_Configurations_Models_in_CASA_Cycle10 </ins>| list of configuration files available in CASA 6.<ins style="font-weight: bold; text-decoration: none;">5</ins>]].</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><source lang="python"></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><source lang="python"></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>antennalist=["alma.cycle8.3.cfg","aca.cycle8.cfg"] </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>antennalist=["alma.cycle8.3.cfg","aca.cycle8.cfg"] </div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></source></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></source></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The 7 m array observing time is set by default to be twice the 12 m Array time. So in this instance, the 7 m array will observe for 1 hour. The user can set this to a different value by entering the 12 m time and the 7 m time as a 2-element array in the <tt>totaltime</tt> parameter. See the <del style="font-weight: bold; text-decoration: none;">[http://casa.nrao.edu/casadocs CASA Docs] </del>documentation for {{<del style="font-weight: bold; text-decoration: none;">simalma</del>}} for details.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The 7 m array observing time is set by default to be twice the 12 m Array time. So in this instance, the 7 m array will observe for 1 hour. The user can set this to a different value by entering the 12 m time and the 7 m time as a 2-element array in the <tt>totaltime</tt> parameter. See the documentation for {{<ins style="font-weight: bold; text-decoration: none;">simalma_6.5.4</ins>}} for details.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For this simulation we will also "single-dish" total power observations with two antennas from the 12 m Total Power Array. A typical observation with the Total Power Array will last 4 times the total time of the 12 m main array.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For this simulation we will also "single-dish" total power observations with two antennas from the 12 m Total Power Array. A typical observation with the Total Power Array will last 4 times the total time of the 12 m main array.</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==== Combine the UV data from the 3 components and make the final image ====</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==== Combine the UV data from the 3 components and make the final image ====</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Next {{<del style="font-weight: bold; text-decoration: none;">simalma</del>}} uses '''simanalyze''' to combine the three measurement sets and create a single image. It accomplishes this in the following manner.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Next {{<ins style="font-weight: bold; text-decoration: none;">simalma_6.5.4</ins>}} uses '''simanalyze''' to combine the three measurement sets and create a single image. It accomplishes this in the following manner.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>First, {{<del style="font-weight: bold; text-decoration: none;">simalma</del>}} concatenates the two sets of interferometric visibilities, and images them. Diagnostic graphics with "concat" in their names are generated:</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>First, {{<ins style="font-weight: bold; text-decoration: none;">simalma_6.5.4</ins>}} concatenates the two sets of interferometric visibilities, and images them. Diagnostic graphics with "concat" in their names are generated:</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Image:m51.concat.cycle8.3.image.png|thumb|Combined interferometric map ACA + single dish]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Image:m51.concat.cycle8.3.image.png|thumb|Combined interferometric map ACA + single dish]]</div></td></tr>
</table>Masanche