10.1k citations · 12.9k across the 23 of their papers we have counts for
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astro-ph.IM2012
Applying the Background-Source separation algorithm to Chandra Deep Field South data
F. Guglielmetti, H. Boehringer, R. Fischer +2
A probabilistic two-component mixture model allows one to separate the diffuse background from the celestial sources within a one-step algorithm without data censoring. The backgro…
astro-ph.IM2012
Bayesian mixture models for Poisson astronomical images
Fabrizia Guglielmetti, Rainer Fischer, Volker Dose
Astronomical images in the Poisson regime are typically characterized by a spatially varying cosmic background, large variety of source morphologies and intensities, data incomplet…