I've been heavily leaning on the SubframeSelector process in PI to help sort out what calibrated frames to keep.
The output of this process generates files with a weighting keyword added to use during the integration process. I've been following this tutorial:
https://www.lightvortexastronomy.com...ixinsight.html and using this formula for the weighting:
(15*(1-(FWHM-FWHMMin)/(FWHMMax-FWHMMin)) + 15*(1-(Eccentricity-EccentricityMin)/(EccentricityMax-EccentricityMin)) + 20*(SNRWeight-SNRWeightMin)/(SNRWeightMax-SNRWeightMin))+50
Now comes the choices and questions.
I can also add approval formula as well, e.g. FWHM < X && Eccentricity < Y to exclude gross outliers.
However, given the weighting formula, is it worth just letting the weight value being lower as good enough for the integration, or is it better to aggressively weed out earlier and add the extra approval formula in to do exclusions? And if I do the exclusions approval formula, how aggressive should I go?