Applying the Background-Source separation algorithm to Chandra Deep Field South data
Abstract
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 background is modeled with a thin-plate spline combined with the satellite's exposure time. Source probability maps are created in a multi-resolution analysis for revealing faint and extended sources. All detected sources are automatically parametrized to produce a list of source positions, fluxes and morphological parameters. The present analysis is applied to the Chandra Deep Field South 2 Ms public released data. Within its 1.884 ks of exposure time and its angular resolution (0.984 arcsec), the Chandra Deep Field South data are particularly suited for testing the Background-Source separation algorithm.
Cite
@article{arxiv.1202.0396,
title = {Applying the Background-Source separation algorithm to Chandra Deep Field South data},
author = {F. Guglielmetti and H. Boehringer and R. Fischer and P. Rosati and P. Tozzi},
journal= {arXiv preprint arXiv:1202.0396},
year = {2012}
}
Comments
3 pages, 3 figures, contributed paper at SCMA V, Penn State University, June 2011, PA. To appear in the Proceedings of "Statistical Challenges in Modern Astronomy V"