A Naive Bayes Source Classifier for X-ray Sources
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.
Keywords
Cite
@article{arxiv.1102.5120,
title = {A Naive Bayes Source Classifier for X-ray Sources},
author = {Patrick S. Broos and Konstantin V. Getman and Matthew S. Povich and Leisa K. Townsley and Eric D. Feigelson and Gordon P. Garmire},
journal= {arXiv preprint arXiv:1102.5120},
year = {2015}
}
Comments
Accepted for the ApJS Special Issue on the Chandra Carina Complex Project (CCCP), scheduled for publication in May 2011. All 16 CCCP Special Issue papers are available at http://cochise.astro.psu.edu/Carina_public/special_issue.html through 2011 at least. 19 pages, 7 figures