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Bayesian Detection of Low Surface Brightness Galaxies

This study explores the use of a Bayesian approach for the detection of low surface brightness galaxies using the generalized Gaussian density and hidden Markov quadtree. Real image results and the application of copulas for multidimensional densities computation are presented. Conclusions and perspectives of the study are discussed.

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Bayesian Detection of Low Surface Brightness Galaxies

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  1. (1) LSIIT, UMR 7005 CNRS, University of Strasbourg I, FRANCE (2) Observatoire de Strasbourg, CDS, UMR 7004 CNRS, University of Strasbourg I, FRANCE   BAYESIAN DETECTION OF LOW SURFACE BRIGHTNESS GALAXIES M. Petremand (*), Ch Collet (*), F. Flitti(*),F. Bonnarel (+), B. Vollmer (+), W. van Driel (-)(*) LSIIT UMR CNRS 7005, Strasbourg University, France (+) Observatoire de Strasbourg, France , (-) Observatoire de Paris, France collet@lsiit.u-strasbg.fr Generalized Gaussian density Introduction Hidden Markov Quadtree Results on real images for Low Surface Brigthness galaxy detection Copulas for multidimensional densities computation Conclusions & perspectives

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