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Inferring Binary and Trinary Stellar Populations in Photometric and Astrometric Surveys
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Number of Authors: 32018 (English)In: Astrophysical Journal, ISSN 0004-637X, E-ISSN 1538-4357, Vol. 857, no 2, article id 114Article in journal (Refereed) Published
Abstract [en]

Multiple stellar systems are ubiquitous in the Milky Way but are often unresolved and seen as single objects in spectroscopic, photometric, and astrometric surveys. However, modeling them is essential for developing a full understanding of large surveys such as Gaia and connecting them to stellar and Galactic models. In this paper, we address this problem by jointly fitting the Gaia and Two Micron All Sky Survey photometric and astrometric data using a data-driven Bayesian hierarchical model that includes populations of binary and trinary systems. This allows us to classify observations into singles, binaries, and trinaries, in a robust and efficient manner, without resorting to external models. We are able to identify multiple systems and, in some cases, make strong predictions for the properties of their unresolved stars. We will be able to compare such predictions with Gaia Data Release 4, which will contain astrometric identification and analysis of binary systems.

Place, publisher, year, edition, pages
2018. Vol. 857, no 2, article id 114
Keywords [en]
astrometry, binaries: general, stars: statistics
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:su:diva-156721DOI: 10.3847/1538-4357/aab7eeISI: 000430745400004OAI: oai:DiVA.org:su-156721DiVA, id: diva2:1220206
Available from: 2018-06-18 Created: 2018-06-18 Last updated: 2018-06-18Bibliographically approved

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