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Statistical analysis of binary stars from the Gaia catalog data release 2

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    SYSNO ASEP0534335
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleStatistical analysis of binary stars from the Gaia catalog data release 2
    Author(s) Závada, Petr (FZU-D) RID, ORCID
    Píška, Karel (FZU-D) RID, ORCID
    Number of authors2
    Article number33
    Source TitleAstronomical Journal - ISSN 0004-6256
    Roč. 159, č. 1 (2020), s. 1-15
    Number of pages15 s.
    Languageeng - English
    CountryUS - United States
    Keywordsstar: binary ; binary: mass ; statistical ; statistical analysis ; dimension: 2 ; dimension: 3 ; orbit
    Subject RIVBE - Theoretical Physics
    OECD categoryAtomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)
    R&D ProjectsLTT17018 GA MŠk - Ministry of Education, Youth and Sports (MEYS)
    Method of publishingOpen access
    Institutional supportFZU-D - RVO:68378271
    UT WOS000519136700001
    EID SCOPUS85106824612
    AnnotationWe 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.
    WorkplaceInstitute of Physics
    ContactKristina Potocká,, Tel.: 220 318 579
    Year of Publishing2021
    Electronic address
Number of the records: 1