A NAIVE BAYES SOURCE CLASSIFIER FOR X-RAY SOURCES

被引：46
作者：
Broos, Patrick S. [1 ]
Getman, Konstantin V. [1 ]
Povich, Matthew S. [1 ]
Townsley, Leisa K. [1 ]
机构：
[1] Penn State Univ, Dept Astron & Astrophys, University Pk, PA 16802 USA
来源：
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES | 2011年 / 194卷 / 01期
基金：
美国国家科学基金会; 美国国家航空航天局;
关键词：
methods: data analysis; methods: statistical; stars: pre-main sequence; X-rays: general; X-rays: stars; YOUNG STELLAR OBJECTS; T-TAURI STARS; LUMINOSITY FUNCTIONS; VARIABILITY; ALGORITHM; CATALOG; SPITZER; NORTH; IRAC;
D O I：
10.1088/0067-0049/194/1/4
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
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.
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页数：12
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