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/INSTRM-629 Instrument control development <p>Based on the data from the commissioning run the centroiding and spot detection algorithms need to be updated for robustness and accuracy with strongly non-Gaussian PSFs and variation of the PSF shape over the field.</p> <p>Using SeXtractor + PSFEx with PSF fitting provides more than sufficient accuracy and robustness, but is much too slow for on the fly analysis. Therefore, I am adapting SeXtractor methods to find a balance between accuracy/robustness and speed. </p> INSTRM-629

Refine centroiding/spot detection algorithms based on commissioning run data

Task Normal Done Done karr karr EngRun Thu, 14 Mar 2019 02:39:45 +0000 Fri, 17 Dec 2021 04:22:23 +0000 Fri, 17 Dec 2021 04:22:23 +0000 0 3 <p>Moved from INFRA to the INSTRM project.</p> <p>Just for a record Jeniffer circulated a report of updates in the ongoing works by e-mail PFS-ics: 01631.</p> <p>Now I seem to remember (and perhaps I should more formally have put this heads-up sooner) that Robert commented on PFS slack that there is a code available that was developed in the LSST project. If that does the same jobs faster, it should be worth looking at it in parallel.</p> <p><a href="https://pfspipe.ipmu.jp/jira/secure/ViewProfile.jspa?name=rhl" class="user-hover" rel="rhl">rhl</a> could you comment again and give information here?</p> <p> </p> <p>The code has been translated into C and integrated into the cython/MHS framework and the commissioning python notebooks. The timing values are within required parameters. </p> <p>Next I'll tidy up the code a bit and add comments, work out the robust method for automatically determining input threshold/spot size values, and run it through some more tests for robustness. </p> <p>Finished some time ago, so will close.</p> Development Rank 0|zx000w: