2013
DOI: 10.1088/0067-0049/209/2/30
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BAYESIAN MATCHING FOR X-RAY AND INFRARED SOURCES IN THE MYStIX PROJECT

Abstract: Identifying the infrared counterparts of X-ray sources in Galactic plane fields such as those of the MYStIX project presents particular difficulties due to the high density of infrared sources. This high stellar density makes it inevitable that a large fraction of X-ray positions will have a faint field star close to them, which standard matching techniques may incorrectly take to be the counterpart. Instead we use the infrared data to create a model of both the field star and counterpart magnitude distributio… Show more

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Cited by 46 publications
(95 citation statements)
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References 29 publications
(50 reference statements)
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“…We have employed our own custom software, ACIS Extract, to accommodate these observational challenges; this software is supported, welldocumented, and available to the community. 19 For MYStIX, the X-ray catalogs from MOXC have been combined with other Chandra data analyzed with the same methods (Kuhn et al 2013a), along with near-IR data (King et al 2013;Naylor et al 2013) and Spitzer mid-IR data (Kuhn et al 2013b;Povich et al 2013); this multiwavelength dataset has been subjected to a Bayesian source classification scheme, resulting in a list of "MYStIX Probable Complex Members" ) that will be used for science analysis.…”
Section: Doradus (The Tarantula Nebula)mentioning
confidence: 99%
“…We have employed our own custom software, ACIS Extract, to accommodate these observational challenges; this software is supported, welldocumented, and available to the community. 19 For MYStIX, the X-ray catalogs from MOXC have been combined with other Chandra data analyzed with the same methods (Kuhn et al 2013a), along with near-IR data (King et al 2013;Naylor et al 2013) and Spitzer mid-IR data (Kuhn et al 2013b;Povich et al 2013); this multiwavelength dataset has been subjected to a Bayesian source classification scheme, resulting in a list of "MYStIX Probable Complex Members" ) that will be used for science analysis.…”
Section: Doradus (The Tarantula Nebula)mentioning
confidence: 99%
“…Analysis of IR counterparts matched to X-ray sources has proven to be a critical component of classifying X-sources and evaluating their probability of membership in MSFRs . Naylor et al (2013) matched the various MYStIX Chandra catalogs to the more complete Spitzer archive source lists (Benjamin et al 2003;K13), presenting an opportunity to find new IRE counterparts to X-ray sources that were omitted from the MIRES analysis, which was based on the highly reliable Catalogs to reduce contamination in our "blind," IRE-only search.…”
Section: Sed Classification Applied To Ir Counterparts Of Mystix X-ramentioning
confidence: 99%
“…2. Cross-matching was done by Naylor et al (2013) in an X-ray-centric fashion. It is possible to get a different NIR match to a given MIR source that appears in MIRES.…”
Section: Sed Classification Applied To Ir Counterparts Of Mystix X-ramentioning
confidence: 99%
“…In addition to the data from Spitzer, the MYStIX project includes NIR data obtained by the United Kingdom Infra-Red Telescope (King et al 2013) and the Two Micron All Sky Survey (Skrutskie et al 2006) and X-ray data obtained by the Chandra X-Ray Observatory . The procedures for constructing the combined sample of X-ray-selected members, IRE-selected members, and spectrally selected OB members is described by Naylor et al (2013), Povich et al (2013), and Broos et al (2013). We describe the available GLIMPSE data (Section 2) and our procedures for analyzing other archival images from IRAC (Section 3).…”
Section: Introductionmentioning
confidence: 99%