A Naive Bayes Source Classifier for X-ray Sources

Details A Naive Bayes Source Classifier for X-ray Sources A Naive Bayes Source Classifier for X-ray Sources

2011-02-24

arxiv.org/abs/1102.5120v1

Astronomy and Astrophysics

Astrophysics

Solar and Stellar Astrophysics

Accepted for the ApJS Special Issue on the Chandra Carina Complex Project (CCCP), scheduled for publication in May 2011. All 1

Scientific paper

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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