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  1. Data Management
  2. DM-12310

Figure out why most HSC datasets start with photometry chi2==NaN

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      4
    • Sprint:
      Alert Production F17 - 10, Alert Production F17 - 11
    • Team:
      Alert Production

      Description

      Nearly all many-visit HSC datasets that I've tried to process fail to fit photometry because the chi2 starts out as NaN, resulting in all stars being rejected as outliers and (after a long time) Eigen blowing up. We can't proceed with the photometric part of the meas_mosaic comparison until I can produce a fit.

      Some steps to try:

      1. make jointcal fail immediately if chi2 is NaN (write a testcase for this)
      2. fit the SimplePhotometryModel instead, to see if that doesn't produce NaN
      3. print various input values to look for NaNs
      4. Is it worth writing the astrometry output before starting the photometry fit, so we at least have it in case of failure?

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              • Assignee:
                Parejkoj John Parejko
                Reporter:
                Parejkoj John Parejko
                Reviewers:
                Yusra AlSayyad
                Watchers:
                John Parejko, John Swinbank, Lauren MacArthur, Simon Krughoff, Yusra AlSayyad
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