A NAIVE BAYES SOURCE CLASSIFIER FOR X-RAY SOURCES

作者：Broos Patrick S^*; Getman Konstantin V; Povich Matthew S; Townsley Leisa K

来源：Astrophysical Journal, The - Supplement Series, 2011, 194(1): 4.

DOI：10.1088/0067-0049/194/1/4

• methods: data analysis
• methods: statistical
• stars: pre-main sequence
• X-rays: general
• X-rays: stars

The Chandra Carina Complex Project (CCCP) provides a sensitive X-ray survey of a nearby starburst region over > 1 deg(2) 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 this special issue devoted to the CCCP.

• 出版日期2011-5