Source Detection with Bayesian Inference on ROSAT All-Sky Survey Data Sample

Details Source Detection with Bayesian Inference on ROSAT All-Sky Survey Data Sample Source Detection with Bayesian Inference on ROSAT All-Sky Survey Data Sample

Jul 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aspc..314..253g&link_type=abstract

Astronomical Data Analysis Software and Systems (ADASS) XIII, Proceedings of the conference held 12-15 October, 2003 in Strasbou

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We employ Bayesian inference for the joint estimation of sources and background on ROSAT All-Sky Survey (RASS) data. The probabilistic method allows for detection improvement of faint extended celestial sources compared to the Standard Analysis Software System (SASS). Background maps were estimated in a single step together with the detection of sources without pixel censoring. Consistent uncertainties of background and sources are provided. The source probability is evaluated for single pixels as well as for pixel domains to enhance source detection of weak and extended sources.

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