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crowdsource: Crowded field photometry pipeline

Posted: Tue Jun 15, 2021 8:47 pm
by Ada Coda
crowdsource: Crowded field photometry pipeline

Abstract: crowdsource removes a rough sky (the median), find the brighter peaks and fits these sources, computes centroids, and then computes an improved PSF. With this model of the image, the code then iteratively subtracts it and recomputes the median to get a better sky estimate, finds fainter peaks, and calculates a better PSF. crowdsource performs at least four iterations, evaluates the results, and continues until certain thresholds are met. Once the iterative passes are complete, it makes one last pass. If no sources are detected and positions do not vary, it performs photometry for the existing list of stellar positions.

Credit: Schlafly, E. F.

Site: https://github.com/schlafly/crowdsource
https://ui.adsabs.harvard.edu/abs/2018ApJS..234...39S

Bibcode: 2021ascl.soft06004S

ID: ascl:2106.004