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arXiv · 1102.5120

A Naive Bayes Source Classifier for X-ray Sources

Patrick S. Broos·Konstantin V. Getman·Matthew S. Povich·Leisa K. Townsley·Eric D. Feigelson·Gordon P. Garmire
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Abstract

The Chandra Carina Complex Project (CCCP) provides a sensitive X-ray survey of a nearby starburst region over >1 square degree in extent. Thousands of faint X-ray sources are found, many concentrated into rich young stellar clusters. However, significant contamination from unrelated Galactic and extragalactic sources is present in the X-ray catalog. We describe the use of a naive Bayes classifier to assign membership probabilities to individual sources, based on source location, X-ray properties, and visual/infrared properties. For the particular membership decision rule adopted, 75% of CCCP sources are classified as members, 11% are classified as contaminants, and 14% remain unclassified. The resulting sample of stars likely to be Carina members is used in several other studies, which appear in a Special Issue of the ApJS devoted to the CCCP.

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Patrick S. Broos, Konstantin V. Getman, Matthew S. Povich, Leisa K. Townsley, Eric D. Feigelson, Gordon P. Garmire. 2011-02-24. A Naive Bayes Source Classifier for X-ray Sources. https://doi.org/10.1088/0067-0049%2F194%2F1%2F4

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