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Article: A Bayesian approach to locating the red giant branch tip magnitude. I.

TitleA Bayesian approach to locating the red giant branch tip magnitude. I.
Authors
KeywordsLocal Group
galaxies: general
galaxies: stellar content
Issue Date2011
Citation
Astrophysical Journal, 2011, v. 740, n. 2 How to Cite?
AbstractWe present a new approach for identifying the tip of the red giant branch (TRGB) which, as we show, works robustly even on sparsely populated targets. Moreover, the approach is highly adaptable to the available data for the stellar population under study, with prior information readily incorporable into the algorithm. The uncertainty in the derived distances is also made tangible and easily calculable from posterior probability distributions. We provide an outline of the development of the algorithm and present the results of tests designed to characterize its capabilities and limitations. We then apply the new algorithm to three M31 satellites: Andromeda I, AndromedaII, and the fainter Andromeda XXIII, using data from the Pan-Andromeda Archaeological Survey (PAndAS), and derive their distances as 731(+ 5) + 18 (- 4) - 17 kpc, 634(+ 2) + 15 (- 2) - 14 kpc, and 733(+ 13) + 23 (- 11) - 22 kpc, respectively, where the errors appearing in parentheses are the components intrinsic to the method, while the larger values give the errors after accounting for additional sources of error. These results agree well with the best distance determinations in the literature and provide the smallest uncertainties to date. This paper is an introduction to the workings and capabilities of our new approach in its basic form, while a follow-up paper shall make full use of the method's ability to incorporate priors and use the resulting algorithm to systematically obtain distances to all of M31's satellites identifiable in the PAndAS survey area. © 2011. The American Astronomical Society. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/208928
ISSN
2021 Impact Factor: 5.521
2020 SCImago Journal Rankings: 2.376
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorConn, Anthony R.-
dc.contributor.authorLewis, Geraint F.-
dc.contributor.authorIbata, Rodrigo A.-
dc.contributor.authorParker, Quentin A.-
dc.contributor.authorZucker, Daniel B.-
dc.contributor.authorMcConnachie, Alan W.-
dc.contributor.authorMartin, Nicolas F.-
dc.contributor.authorIrwin, Mike J.-
dc.contributor.authorTanvir, Nial R.-
dc.contributor.authorFardal, Mark A.-
dc.contributor.authorFerguson, Annette M N-
dc.date.accessioned2015-03-23T02:02:13Z-
dc.date.available2015-03-23T02:02:13Z-
dc.date.issued2011-
dc.identifier.citationAstrophysical Journal, 2011, v. 740, n. 2-
dc.identifier.issn0004-637X-
dc.identifier.urihttp://hdl.handle.net/10722/208928-
dc.description.abstractWe present a new approach for identifying the tip of the red giant branch (TRGB) which, as we show, works robustly even on sparsely populated targets. Moreover, the approach is highly adaptable to the available data for the stellar population under study, with prior information readily incorporable into the algorithm. The uncertainty in the derived distances is also made tangible and easily calculable from posterior probability distributions. We provide an outline of the development of the algorithm and present the results of tests designed to characterize its capabilities and limitations. We then apply the new algorithm to three M31 satellites: Andromeda I, AndromedaII, and the fainter Andromeda XXIII, using data from the Pan-Andromeda Archaeological Survey (PAndAS), and derive their distances as 731(+ 5) + 18 (- 4) - 17 kpc, 634(+ 2) + 15 (- 2) - 14 kpc, and 733(+ 13) + 23 (- 11) - 22 kpc, respectively, where the errors appearing in parentheses are the components intrinsic to the method, while the larger values give the errors after accounting for additional sources of error. These results agree well with the best distance determinations in the literature and provide the smallest uncertainties to date. This paper is an introduction to the workings and capabilities of our new approach in its basic form, while a follow-up paper shall make full use of the method's ability to incorporate priors and use the resulting algorithm to systematically obtain distances to all of M31's satellites identifiable in the PAndAS survey area. © 2011. The American Astronomical Society. All rights reserved.-
dc.languageeng-
dc.relation.ispartofAstrophysical Journal-
dc.subjectLocal Group-
dc.subjectgalaxies: general-
dc.subjectgalaxies: stellar content-
dc.titleA Bayesian approach to locating the red giant branch tip magnitude. I.-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1088/0004-637X/740/2/69-
dc.identifier.scopuseid_2-s2.0-80053970136-
dc.identifier.volume740-
dc.identifier.issue2-
dc.identifier.eissn1538-4357-
dc.identifier.isiWOS:000296762900019-
dc.identifier.issnl0004-637X-

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