A naive bayes source classifier for X-ray sources

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

The Chandra Carina Complex Project (CCCP) provides a sensitive X-ray survey of a nearby starburst region over >1 deg2 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.

Original languageEnglish (US)
Article number4
JournalAstrophysical Journal, Supplement Series
Volume194
Issue number1
DOIs
StatePublished - May 1 2011

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classifiers
x rays
catalogs
contaminants
contamination
pollutant
stars
project

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Cite this

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title = "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 deg2 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.",
author = "Broos, {Patrick S.} and Getman, {Konstantin V.} and Povich, {Matthew S.} and Townsley, {Leisa K.} and Feigelson, {Eric D.} and Garmire, {Gordon P.}",
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A naive bayes source classifier for X-ray sources. / Broos, Patrick S.; Getman, Konstantin V.; Povich, Matthew S.; Townsley, Leisa K.; Feigelson, Eric D.; Garmire, Gordon P.

In: Astrophysical Journal, Supplement Series, Vol. 194, No. 1, 4, 01.05.2011.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A naive bayes source classifier for X-ray sources

AU - Broos, Patrick S.

AU - Getman, Konstantin V.

AU - Povich, Matthew S.

AU - Townsley, Leisa K.

AU - Feigelson, Eric D.

AU - Garmire, Gordon P.

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AB - The Chandra Carina Complex Project (CCCP) provides a sensitive X-ray survey of a nearby starburst region over >1 deg2 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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