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            <title>[PIPE2D-930] Problems when creating variance images in psf modelling </title>
                <link>https://pfspipe.ipmu.jp/jira/browse/PIPE2D-930</link>
                <project id="10002" key="PIPE2D">DRP 2-D Pipeline</project>
                    <description>&lt;p&gt;(This ticket is a consequence of an attempt to do finer granulation of &lt;a href=&quot;https://pfspipe.ipmu.jp/jira/browse/PIPE2D-928&quot; title=&quot;Improve psf modelling with fiber illumination constant across spots in the same fiber&quot; class=&quot;issue-link&quot; data-issue-key=&quot;PIPE2D-928&quot;&gt;&lt;del&gt;PIPE2D-928&lt;/del&gt;&lt;/a&gt;).&#160;&lt;/p&gt;

&lt;p&gt;I am noticing problems in my creation of variance images. At the moment I am creating ``custom&apos;&apos; variance images which are created from the model images. To get the relation between the values in the&#160; variance and science images I do a simple 2nd order fit and apply this relation to the model image to get the variance image. The mistake I have made is that I am reusing the previous variance image (instead of the original variance image) to create a new variance image. This leads to runaway values in the variance image and eventually to the crash.&#160;&lt;br/&gt;
 I have only noticed this now as I have modified the 2nd order fit procedure in order to avoid nonophysical values (which I believe was the origin of strange features in the image ``example_in_focus&apos;&apos; in &lt;a href=&quot;https://pfspipe.ipmu.jp/jira/browse/PIPE2D-615&quot; title=&quot;Illumination estimate of the pupil should be constant across different spots for single fiber&quot; class=&quot;issue-link&quot; data-issue-key=&quot;PIPE2D-615&quot;&gt;&lt;del&gt;PIPE2D-615&lt;/del&gt;&lt;/a&gt;)&#160;&lt;/p&gt;</description>
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        <key id="18311">PIPE2D-930</key>
            <summary>Problems when creating variance images in psf modelling </summary>
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                                        <assignee username="ncaplar">ncaplar</assignee>
                                    <reporter username="ncaplar">ncaplar</reporter>
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                <created>Tue, 2 Nov 2021 19:12:10 +0000</created>
                <updated>Wed, 3 Nov 2021 14:19:14 +0000</updated>
                            <resolved>Wed, 3 Nov 2021 14:18:26 +0000</resolved>
                                                                        <due></due>
                            <votes>0</votes>
                                    <watches>1</watches>
                                                                <comments>
                            <comment id="24932" author="ncaplar" created="Wed, 3 Nov 2021 14:18:12 +0000"  >&lt;p&gt;The fix has been implemented and now the creation of variance image from a model image is always taking as argument original science and variance images (and not previously created ``fake&apos;&apos; variance images).&#160; Internal version of Zernike_Module v0.49e. Checked that it works and algorithm fully runs during the small run on Tiger cluster on November2/November 3 night.&lt;/p&gt;</comment>
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