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Paper: EMphot — Photometric Software with Bayesian Priors: Application to GALEX
Volume: 442, Astronomical Data Analysis Software and Systems XX (ADASSXX)
Page: 107
Authors: Conseil, S.; Vibert, D.; Amouts, S.; Milliard, B.; Zamojski, M.; Liebaria, A.; Guillaume, M.
Abstract: 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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