Searching Faint and Extended Sources in the X-ray Universe

Details Searching Faint and Extended Sources in the X-ray Universe Searching Faint and Extended Sources in the X-ray Universe

Nov 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005aipc..803..162g&link_type=abstract

BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 25th International Workshop on Bayesian Inference and

Mathematics

Logic

Inference Methods, Image Processing, X-Ray, Galaxy Clusters

Scientific paper

A Bayesian mixture modeling method was applied to Chandra Deep Field South (CDF-S) to find faint extended sources at high redshift.
The probabilistic two-component mixture model allows the separation of the diffuse background from celestial sources within a one-step algorithm without data censoring. The background is modeled with a thin-plate spline.The source and background estimation method was extended to allow the flux of celestial objects to be inverse-Gamma distributed. In addition, all the detected sources are automatically parameterized to produce a list of source positions, count rates and morphological parameters.
The present analysis is applied to the CDF-S. With its 940 ksec of exposure time, CDF-S is one of the deepest X-ray observations performed. We analyze the 0.5-2 keV energy band to search for clusters or groups of galaxies. Point-like and extended sources are separated incorporating the knowledge of the observatory's point spread function (PSF).
Combining the Bayesian mixture modeling technique with the angular resolution (~= 1 arcsec) of the CDF-S data, we can provide information about rare objects, such as clusters of galaxies, in the distant Universe.

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