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：

美国国家航空航天局; 美国国家科学基金会;

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.

引用

页数：12

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ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2011, 194 (01)

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ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2011, 194 (01)

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