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Statistical Characterization of the Chandra Source Catalog

Authors :
Primini, Francis A.
Houck, John C.
Davis, John E.
Nowak, Michael A.
Evans, Ian N.
Glotfelty, Kenny J.
Anderson, Craig S.
Bonaventura, Nina R.
Chen, Judy C.
Doe, Stephen M.
Evans, Janet D.
Fabbiano, Giuseppina
Galle, Elizabeth C.
Gibbs II, Danny G.
Grier, John D.
Hain, Roger M.
Hall, Diane M.
Harbo, Peter N.
Xiangqun
He
Karovska, Margarita
Kashyap, Vinay L.
Lauer, Jennifer
McCollough, Michael L.
McDowell, Jonathan C.
Miller, Joseph B.
Mitschang, Arik W.
Morgan, Douglas L.
Mossman, Amy E.
Nichols, Joy S.
Plummer, David A.
Refsdal, Brian L.
Rots, Arnold H.
Siemiginowska, Aneta
Sundheim, Beth A.
Tibbetts, Michael S.
Van Stone, David W.
Winkelman, Sherry L.
Zografou, Panagoula
Publication Year :
2011

Abstract

The first release of the Chandra Source Catalog (CSC) contains ~95,000 X-ray sources in a total area of ~0.75% of the entire sky, using data from ~3,900 separate ACIS observations of a multitude of different types of X-ray sources. In order to maximize the scientific benefit of such a large, heterogeneous data-set, careful characterization of the statistical properties of the catalog, i.e., completeness, sensitivity, false source rate, and accuracy of source properties, is required. Characterization efforts of other, large Chandra catalogs, such as the ChaMP Point Source Catalog (Kim et al. 2007) or the 2 Mega-second Deep Field Surveys (Alexander et al. 2003), while informative, cannot serve this purpose, since the CSC analysis procedures are significantly different and the range of allowable data is much less restrictive. We describe here the characterization process for the CSC. This process includes both a comparison of real CSC results with those of other, deeper Chandra catalogs of the same targets and extensive simulations of blank-sky and point source populations.<br />Comment: To be published in the Astrophysical Journal Supplement Series (Fig. 52 replaced with a version which astro-ph can convert to PDF without issues.)

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1105.0691
Document Type :
Working Paper
Full Text :
https://doi.org/10.1088/0067-0049/194/2/37