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    <language>en-us</language>    <build-info>
        <version>8.3.4</version>
        <build-number>803005</build-number>
        <build-date>13-09-2019</build-date>
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<item>
            <title>[REDMINE1D-89] [RM-8117] [linemeas] compute flux uncertainty when using full Gaussian fit</title>
                <link>https://pfspipe.ipmu.jp/jira/browse/REDMINE1D-89</link>
                <project id="11002" key="REDMINE1D">1D Redmine </project>
                    <description>&lt;p&gt;&lt;em&gt;&lt;font color=&quot;#505f79&quot;&gt; Created on 2023-06-08 14:12:15 by Didier Vibert. % Done: 30&lt;/font&gt;&lt;/em&gt;&lt;/p&gt;


&lt;p&gt;The L-BFGS-B C++ impl&#233;mentation does not return the estimated Hessian at the fitted parameters which could be used to infer the amplitude/flux uncertainty.&lt;/p&gt;

&lt;p&gt;We have to compute it with another way, may be using the residual ? or an analytical estimation following for instance (&lt;a href=&quot;https://www.osapublishing.org/abstract.cfm?URI=ao-46-22-5374&quot; class=&quot;external-link&quot; rel=&quot;nofollow&quot;&gt;https://www.osapublishing.org/abstract.cfm?URI=ao-46-22-5374&lt;/a&gt;) ?&lt;/p&gt;</description>
                <environment></environment>
        <key id="23474">REDMINE1D-89</key>
            <summary>[RM-8117] [linemeas] compute flux uncertainty when using full Gaussian fit</summary>
                <type id="3" iconUrl="https://pfspipe.ipmu.jp/jira/secure/viewavatar?size=xsmall&amp;avatarId=10518&amp;avatarType=issuetype">Task</type>
                                            <priority id="10000" iconUrl="https://pfspipe.ipmu.jp/jira/images/icons/priorities/medium.svg">Normal</priority>
                        <status id="3" iconUrl="https://pfspipe.ipmu.jp/jira/images/icons/statuses/inprogress.png" description="This issue is being actively worked on at the moment by the assignee.">In Progress</status>
                    <statusCategory id="4" key="indeterminate" colorName="yellow"/>
                                    <resolution id="-1">Unresolved</resolution>
                                        <assignee username="r2j.migrate">Redmine-Jira Migtation</assignee>
                                    <reporter username="r2j.migrate">Redmine-Jira Migtation</reporter>
                        <labels>
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                <created>Tue, 13 Jun 2023 04:58:25 +0000</created>
                <updated>Fri, 8 Dec 2023 18:34:17 +0000</updated>
                                                                                <due></due>
                            <votes>0</votes>
                                    <watches>2</watches>
                                                                <comments>
                            <comment id="36389" author="r2j.migrate" created="Fri, 8 Dec 2023 18:33:41 +0000"  >&lt;p&gt;Comment by Didier Vibert on 2023-06-15 10:12:45:&lt;br/&gt;
@vlebrun tu peux me donner ta formule magique &lt;/p&gt;</comment>
                            <comment id="36390" author="r2j.migrate" created="Fri, 8 Dec 2023 18:33:49 +0000"  >&lt;p&gt;Comment by Vincent Le Brun on 2023-07-18 15:38:54:&lt;br/&gt;
j&apos;ai repris la publication que tu donnes et la formule est en gros la meme que celle que j&apos;avais pour la largeur &#233;quivalente, et &#231;a donnerait&lt;/p&gt;

&lt;p&gt;Var(flux) = 3*sqrt(pi)*error*sigma(pix)&lt;/p&gt;

&lt;p&gt;ou error est l&apos;erreur sur le signal (on peut prendre la valeur moyenne sur le support de la raie en 1ere approximation) et sigma(pix) le sigma de la gaussienne exprim&#233; en pixels&lt;/p&gt;
</comment>
                            <comment id="36391" author="r2j.migrate" created="Fri, 8 Dec 2023 18:34:02 +0000"  >&lt;p&gt;Comment by Didier Vibert on 2023-12-01 13:21:39:&lt;br/&gt;
Vincent Le Brun wrote in #note-4:&lt;br/&gt;
&amp;gt; j&apos;ai repris la publication que tu donnes et la formule est en gros la meme que celle que j&apos;avais pour la largeur &#233;quivalente, et &#231;a donnerait&lt;br/&gt;
&amp;gt; &lt;br/&gt;
&amp;gt; Var(flux) = 3*sqrt(pi)*error*sigma(pix)&lt;br/&gt;
&amp;gt; &lt;br/&gt;
&amp;gt; ou error est l&apos;erreur sur le signal (on peut prendre la valeur moyenne sur le support de la raie en 1ere approximation) et sigma(pix) le sigma de la gaussienne exprim&#233; en pixels&lt;/p&gt;

&lt;p&gt;ok. juste une remarque, la formule du papier correspond au fit d&apos;une Gaussienne seule, c-a-d sans constante ni polynomes de degr&#233; &amp;gt;0 ajout&#233;. Or c&apos;est ce qu&apos;on fait et il y a certainement une d&#233;pendance de la variance du Flux &#224; &#231;a... &lt;/p&gt;

&lt;p&gt;En attendant mieux, je code &#231;a. On verra si on est content avec.&lt;/p&gt;</comment>
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