A NAIVE BAYES SOURCE CLASSIFIER FOR X-RAY SOURCES
Journal Article
·
· Astrophysical Journal, Supplement Series
The Chandra Carina Complex Project (CCCP) provides a sensitive X-ray survey of a nearby starburst region over >1 deg{sup 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.
- OSTI ID:
- 21562679
- Journal Information:
- Astrophysical Journal, Supplement Series, Journal Name: Astrophysical Journal, Supplement Series Journal Issue: 1 Vol. 194; ISSN 0067-0049; ISSN APJSA2
- Country of Publication:
- United States
- Language:
- English
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Scaling up the accuracy of Naive-Bayes classifiers: A decision-tree hybrid
Journal Article
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Sun May 01 00:00:00 EDT 2011
· Astrophysical Journal, Supplement Series
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OSTI ID:21560394
A CATALOG OF CHANDRA X-RAY SOURCES IN THE CARINA NEBULA
Journal Article
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Sun May 01 00:00:00 EDT 2011
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OSTI ID:21560393
Scaling up the accuracy of Naive-Bayes classifiers: A decision-tree hybrid
Conference
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Mon Dec 30 23:00:00 EST 1996
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OSTI ID:421279