Probabilistic classification of X-ray sources applied to Swift-XRT and XMM-Newton catalogs
Resumen (English): This work proposes a revisited naive Bayes classification of the X-ray sources in the Swift-XRT and XMM-Newton catalogs into four classes — AGN, stars, X-ray binaries (XRBs) and cataclysmic variables (CVs) — based on their spatial, spectral and timing properties and their multiwavelength counterparts. An outlier measure is used to identify objects of…
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