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Statistical analysis of binary stars from the Gaia catalog data release 2
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SYSNO ASEP 0534335 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Statistical analysis of binary stars from the Gaia catalog data release 2 Author(s) Závada, Petr (FZU-D) RID, ORCID
Píška, Karel (FZU-D) RID, ORCIDNumber of authors 2 Article number 33 Source Title Astronomical Journal. - : Institute of Physics Publishing - ISSN 0004-6256
Roč. 159, č. 1 (2020), s. 1-15Number of pages 15 s. Language eng - English Country US - United States Keywords star: binary ; binary: mass ; statistical ; statistical analysis ; dimension: 2 ; dimension: 3 ; orbit Subject RIV BE - Theoretical Physics OECD category Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect) R&D Projects LTT17018 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support FZU-D - RVO:68378271 UT WOS 000519136700001 EID SCOPUS 85106824612 DOI https://doi.org/10.3847/1538-3881/ab5865 Annotation We have developed a general statistical procedure for analysis of 2D and 3D finite patterns, which is applied to the data from recently released Gaia-ESA catalog DR2. The 2D analysis clearly confirms our former results on the presence of binaries in the former DR1 catalog. Our main objective is the statistical 3D analysis of DR2. For this, it is essential that the DR2 catalog includes parallaxes and data on the proper motion. The analysis allows us to determine for each pair of stars the probability that it is the binary star. This probability is represented by the function depending on the separation. Furthermore, a combined analysis of the separation with proper motion provides a clear picture of binaries with two components of the motion: parallel and orbital. The result of this analysis is an estimate of the average orbital period and mass of the binary system. The catalog we have created involves 80,560 binary candidates.
Workplace Institute of Physics Contact Kristina Potocká, potocka@fzu.cz, Tel.: 220 318 579 Year of Publishing 2021 Electronic address http://hdl.handle.net/11104/0312556
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