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We currently can either apply outlier rejection to the reserve stars as we iterate on the solution, or don't do any rejection on the reserve stars. The former is often problematic, because too many reserve stars tend to get removed before the fit stabilizes, so we usually don't enable that. But at the end, it should be more reasonable to apply the outlier rejection to the reserves to get them on the same footing as the main sample in terms of quality.
The text was updated successfully, but these errors were encountered:
Also, it turns out that we don't currently output star.fit.dof in the output file. That would be helpful for being able to do the outlier rejection of the reserve stars in the current mode...
We currently can either apply outlier rejection to the reserve stars as we iterate on the solution, or don't do any rejection on the reserve stars. The former is often problematic, because too many reserve stars tend to get removed before the fit stabilizes, so we usually don't enable that. But at the end, it should be more reasonable to apply the outlier rejection to the reserves to get them on the same footing as the main sample in terms of quality.
The text was updated successfully, but these errors were encountered: