A systematic cross-search for radio/infrared counterparts of XMM-Newton sources

We present a catalog of cross-correlated radio, infrared and X-ray sources using a very restrictive selection criteria with an IDL-based code developed by us. The significance of the observed coincidences was evaluated through Monte Carlo simulations of synthetic sources following a well-tested prot...

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Autores principales: Combi, J.A., Colombo, J.F.A., Pellizza, L., López-Santiago, J., Romero, G.E., Martí, J., Muñoz-Arjonilla, A.J., Sánchez-Ayaso, E., Luque-Escamilla, P.L., Sánchez-Sutil, J.R.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0004640X_v331_n1_p53_Combi
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Sumario:We present a catalog of cross-correlated radio, infrared and X-ray sources using a very restrictive selection criteria with an IDL-based code developed by us. The significance of the observed coincidences was evaluated through Monte Carlo simulations of synthetic sources following a well-tested protocol. We found 3320 coincident radio/X-ray sources with a high statistical significance characterized by the sum of error-weighted coordinate differences. For 997 of them, 2MASS counterparts were found. The percentage of chance coincidences is less than 1%. X-ray hardness ratios of well-known populations of objects were used to provide a crude representation of their X-ray spectrum and to make a preliminary diagnosis of the possible nature of unidentified X-ray sources. The results support the fact that the X-ray sky is largely dominated by Active Galactic Nuclei at high galactic latitudes ({pipe}b{pipe}≥10°). At low galactic latitudes ({pipe}b{pipe}≤10°) most of unidentified X-ray sources (~94%) lie at {pipe}b{pipe}≤2°. This result suggests that most of the unidentified sources found toward the Milky Way plane are galactic objects. Well-known and unidentified sources were classified in different tables with their corresponding radio/infrared and X-ray properties. These tables are intended as a useful tool for researchers interested in particular identifications. © 2010 Springer Science+Business Media B.V.