EMphot — Photometric Software with Bayesian Priors: Application to GALEX

Details EMphot — Photometric Software with Bayesian Priors: Application to GALEX EMphot — Photometric Software with Bayesian Priors: Application to GALEX

Jul 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aspc..442..107c&link_type=abstract

Astronomical Data Analysis Software and Systems XX. ASP Conference Proceedings, Vol. 442, proceedings of a Conference held at Se

Astronomy and Astrophysics

Astrophysics

Scientific paper

EMphot is a software tool for the photometry of astrophysical sources, galaxies and stars, in crowded field images. Its goal is to estimate the flux in a low resolution band using prior information (position and shape) from a better resolved band, in a Bayesian approach under the Poisson noise assumption. The solution is reached with an Expectation-Maximization (EM) algorithm for solving the photometry and includes several steps: prior shapes deblending in high resolution images, astrometry correction, PSF optimization, background correction from the residual.

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