https://pfspipe.ipmu.jp/jira This file is an XML representation of an issue en-us 8.3.4 803005 13-09-2019 https://pfspipe.ipmu.jp/jira/browse/PIPE2D-1252 DRP 2-D Pipeline <p>As reported in <a href="https://pfspipe.ipmu.jp/jira/browse/PIPE2D-1239" title="Robustify radial velocity measurements" class="issue-link" data-issue-key="PIPE2D-1239">PIPE2D-1239</a>, the LSF-convolved model templates do not resolve the NaD doublet, while the lines are resolved in real data. Check the observed LSF using arcs. <span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16143/16143_image.png" style="border: 0px solid black" /></span></p> PIPE2D-1252

LSF is broader than the observation

Task Normal Done Done sogo.mineo Masayuki Tanaka Tue, 11 Jul 2023 01:53:11 +0000 Mon, 2 Oct 2023 23:59:51 +0000 Mon, 2 Oct 2023 23:59:51 +0000 0 2 <p>Tanaka-san found that LSF's widths becomes better when he divides the widths by 2.354. The black lines in the image below are pfsMergedLsf:</p> <p><span class="image-wrap" style=""><a id="16173_thumb" href="https://pfspipe.ipmu.jp/jira/secure/attachment/16173/16173_pfsMergedLsfCorrected.png" title="pfsMergedLsfCorrected.png" file-preview-type="image" file-preview-id="16173" file-preview-title="pfsMergedLsfCorrected.png"><img src="https://pfspipe.ipmu.jp/jira/secure/thumbnail/16172/_thumb_16172.png" style="border: 0px solid black" /></a></span></p> <p>The black lines in the image below are pfsMergedLsf, whose widths are divided by 2.354:<br/> <span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/thumbnail/16173/_thumb_16173.png" style="border: 0px solid black" /></span></p> <p>The origin of <tt>pfsMergedLsf</tt> can be traced back to reducedExposure.py's config (<tt>gaussianLsfWidth</tt>). The values in this list are FWHM. They are input to <tt>GaussianLsf</tt>'s constructor without being converted to standard deviations.</p> <p>Could you review this PR?</p> <p>I made Gaussian fits to multiple arc lines. See figs here. Although they can/should be cleaned up a bit, the running median shown as the red points suggest that the line width is roughly constant. The horizontal line is the global median after excluding bad fits (e.g., poitns at sigma=0.1, which is the initial guess). r3 and m3 look bad because these are from the Apr 2023 data.</p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16189/16189_image-2023-07-27-20-03-26-096.png" style="border: 0px solid black" /></span></p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16190/16190_image-2023-07-27-20-03-53-460.png" style="border: 0px solid black" /></span></p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16191/16191_image-2023-07-27-20-04-19-383.png" style="border: 0px solid black" /></span></p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16192/16192_image-2023-07-27-20-04-32-385.png" style="border: 0px solid black" /></span></p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16193/16193_image-2023-07-27-20-04-44-940.png" style="border: 0px solid black" /></span></p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16194/16194_image-2023-07-27-20-04-54-874.png" style="border: 0px solid black" /></span></p> <p>The spectral resolution is dependent on fiberId. The dependency is different for different arms/grating, and the p-p variation is about 0.005-0.01nm. We need to account for this, but for now, I propose to adopt a constant LSF with sigma=0.081nm for b, 0.109nm for r, and 0.059nm for m. I will look at the n-arm and update this ticket.</p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16197/16197_image-2023-07-28-06-51-33-920.png" style="border: 0px solid black" /></span></p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16198/16198_image-2023-07-28-06-51-48-907.png" style="border: 0px solid black" /></span></p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16199/16199_image-2023-07-28-06-52-14-503.png" style="border: 0px solid black" /></span></p> <p><span class="image-wrap" style=""><img src="https://pfspipe.ipmu.jp/jira/secure/attachment/16200/16200_image-2023-07-28-06-52-26-854.png" style="border: 0px solid black" /></span></p> <p>There is no science arc for the n-arm in Run 11. There are some data in Run12 and I made an attempt to reduce them, but I am missing most of the lines at lambda&gt;1000nm. I am not sure why, but I think I will wait for new calibs from this run and come back later.</p> <p>I propose that we go with a specification resolution listed at <a href="https://pfs.ipmu.jp/research/performance.html" class="external-link" rel="nofollow">https://pfs.ipmu.jp/research/performance.html</a> for the n-arm for now, i.e., sigma=0.109 nm. I will measure the resolution once we have better calibs from the July 2023 run and file a separate ticket to update the number.</p> <p>I revised the numbers in the ticket branch.</p> <p>Merged. Thanks for reviewing.</p> Relates PIPE2D-1239 Development Rank 0|zzsynr: Reviewers price