首页|Two-dimensional Parameter Relationships for W UMa-type Systems Revisited

Two-dimensional Parameter Relationships for W UMa-type Systems Revisited

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Reviewing the empirical and theoretical parameter relationships between various parameters is a good way to understand more about contact binary systems.In this investigation,two-dimensional(2D)relationships for P-Mv(system),P-L1,2,M1,2-L1,2,and q-Lratio were revisited.The sample used is related to 118 contact binary systems with an orbital period shorter than 0.6 days whose absolute parameters were estimated based on the Gaia Data Release 3 parallax.We reviewed previous studies on 2D relationships and updated six parameter relationships.Therefore,Markov chain Monte Carlo and Machine Learning methods were used,and the outcomes were compared.We selected 22 contact binary systems from eight previous studies for comparison,which had light curve solutions using spectroscopic data.The results show that the systems are in good agreement with the results of this study.

(stars:)binaries(including multiple):closestars:fundamental parametersmethods:data analysis

Atila Poro、Ehsan Paki、Ailar Alizadehsabegh、Mehdi Khodadadilori、Selda Ranjbar Salehian、Mahya Hedayatjoo、Fatemeh Hashemi、Yasaman Dashti、Fatemeh Mohammadizadeh

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Astronomy Department of the Raderon AI Lab.,Burnaby,BC,Canada

Faculty of Electrical and Computer Engineering,Department of Photonics,University of Tabriz,Tabriz 51664,Iran

Department of Electrical Engineering,Amirkabir University of Technology,Tehran,Iran

Astronomy Students'Scientific Association,University of Tabriz,Tabriz 51664,Iran

Department of Physics,Iran University of Science and Technology,Tehran,Iran

Institute for the Intellectual Development(Kanoon),Astronomy Group,Bojnord,Iran

Department of Mechanical Engineering,Amirkabir University of Technology,Tehran,Iran

Aerospace Engineering Department,Science and Research Branch of Islamic Azad University,Tehran,Iran

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Binary Systems of South and North(BSN)projectRaderon AI Lab's Astronomy DepartmentEuropean Space Agency(ESA)mission GaiaGaia Data Processing and Analysis Consortium(DPAC)

2024

10.1088/1674-4527/ad0866

天文和天体物理学研究
中国科学院国家天文台

天文和天体物理学研究

CSTPCD
影响因子：0.406
ISSN：1674-4527
年,卷(期)：2024.24(1)
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