Likelihood Source Matching Applied to the Extended Chandra Deep Field-South

摘要

In deep optical/IR data there are a large number of objects with accurate positions. In contrast, X-ray data sets contain fewer sources with larger positional uncertainties. We describe a routine for the matching of objects between different catalogs using a likelihood ratio technique~1. Matching objects in a high source density catalog to sources in a catalog with larger positional uncertainties requires a statistical matching technique. We develop this technique in a field with Chandra data for later application to fields with XMM data that have even greater positional uncertainties. We describe application of this method to Chandra, Spitzer and ground based data in the Extended Chandra Deep Field-South. We recover 80% of the X-ray sources in our optical and infrared catalogs and more then ~ 90% in the Spitzer IRAC catalog. We are interested in finding counterparts to X-ray sources as our research program explores multi-wavelength properties of AGN.