Probabilistic classification of X-ray sources applied to Swift-XRT and XMM-Newton catalogs
Probabilistic classification of X-ray sources applied to Swift-XRT and XMM-Newton catalogs
Context. Serendipitous X-ray surveys have proven to be an efficient way to find rare objects, for example tidal disruption events, changing-look active galactic nuclei (AGN), binary quasars, ultraluminous X-ray sources (ULXs), and intermediate mass black holes. With the advent of very large X-ray surveys, an automated classification of X-ray sources …