An Efficient Method for Batch Derivation of Detached Eclipsing Binary Parameters: Analysis of 34,907 OGLE Systems

doi:10.3847/1538-4365/ad833c

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	An Efficient Method for Batch Derivation of Detached Eclipsing Binary Parameters: Analysis of 34,907 OGLE Systems
	Wang JL(王锦良)1,2 ; Ding X(丁旭)1,2,3,4 ; Liu, Wei 5; Yu LH(于立欢)1,2 ; Xu C(徐冲)1,2; Ji KF(季凯帆)1,2,3,4
发表期刊	ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
	2024-11-01
卷号	275 期号:1
DOI	10.3847/1538-4365/ad833c
产权排序	第1完成单位
收录类别	SCI
摘要	Detached eclipsing binary (EB) systems are crucial for measuring the physical properties of stars that evolve independently. Large-scale time-domain surveys have released a substantial number of light curves for detached EBs. Utilizing the Physics of Eclipsing Binaries package in conjunction with Markov Chain Monte Carlo (MCMC) methods for batch parameter derivation poses significant computational challenges, primarily due to the high computational cost and time demands. Therefore, this paper develops an efficient method based on the neural network model and the stochastic variational inference method (denoted NNSVI) for the rapid derivation of parameters for detached EBs. For studies involving more than three systems, the NNSVI method significantly outperforms techniques that combine MCMC methods in terms of parameter inference speed, making it highly suitable for the batch derivation of large numbers of light curves. We efficiently derived parameters for 34,907 detached EBs, selected from the Optical Gravitational Lensing Experiment catalog and located in the Galactic bulge, using the NNSVI method. A catalog detailing the parameters of these systems is provided. Additionally, we compared the parameters of two double-lined detached EBs with those from previous studies and found the estimated parameters to be essentially identical.
资助项目	the Natural Science Foundation of China[12103088]; the Natural Science Foundation of China[12433009]; Natural Science Foundation of China; Gaia Data Processing and Analysis Consortium
项目资助者	the Natural Science Foundation of China[12103088, 12433009] ; Natural Science Foundation of China ; Gaia Data Processing and Analysis Consortium
语种	英语
学科领域	天文学 ; 恒星与银河系
文章类型	Article
出版者	IOP Publishing Ltd
出版地	TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
ISSN	0067-0049
URL	查看原文
WOS记录号	WOS:001348920600001
WOS研究方向	Astronomy & Astrophysics
WOS类目	Astronomy & Astrophysics
关键词[WOS]	VALUE-ADDED CATALOG ; VARIATIONAL INFERENCE ; MAGELLANIC-CLOUD ; STARS ; III. ; PERFORMANCE ; DISTANCE ; RADII ; GAIA ; V.
引用统计
文献类型	期刊论文
版本	出版稿
条目标识符	http://ir.ynao.ac.cn/handle/114a53/27679
专题	天文技术实验室大样本恒星演化研究组南方基地中国科学院天体结构与演化重点实验室
作者单位	1.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, People's Republic of China; [email protected]; 2.University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China; 3.Key Laboratory of the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, P.O. Box 110, 650216 Kunming, People's Republic of China; 4.Center for Astronomical Mega-Science, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100012, People's Republic of China; 5.College of Physics and Electronic Engineering, Xingtai University, Xingtai 054001, People's Republic of China
第一作者单位	中国科学院云南天文台
推荐引用方式 GB/T 7714	Wang JL,Ding X,Liu, Wei,et al. An Efficient Method for Batch Derivation of Detached Eclipsing Binary Parameters: Analysis of 34,907 OGLE Systems[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2024,275(1).
APA	王锦良,丁旭,Liu, Wei,于立欢,徐冲,&季凯帆.(2024).An Efficient Method for Batch Derivation of Detached Eclipsing Binary Parameters: Analysis of 34,907 OGLE Systems.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,275(1).
MLA	王锦良,et al."An Efficient Method for Batch Derivation of Detached Eclipsing Binary Parameters: Analysis of 34,907 OGLE Systems".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 275.1(2024).

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