Project: datamanagement
Issue DM-2423: Weighting in photometric calibration is incorrect
Dominique points out that the zero point calibration uses errors not inverse errors to calculate the zero point. git annotate reveals: bq. 24c9149f python/lsst/meas/photocal/PhotoCal.py (Robert Lupton the Good 2010-12-13 05:03:12 +0000 353) return np.average(dmag, weights=dmagErr), np.std(dmag, ddof=1), len(dmag) Please fix this. At the same time, we should add a config parameter to soften the errors.
Story points: 1