An Efficient Method for Batch Derivation of Detached Eclipsing Binary Parameters: Analysis of 34,907 OGLE Systems
文献类型：期刊论文
| 作者 | Wang JL(王锦良)4,5 ; Ding X(丁旭)2,3,4,5; Liu, Wei1; Yu LH(于立欢)4,5; Xu C(徐冲)4,5; Ji KF(季凯帆)2,3,4,5
|
| 刊名 | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
 |
| 出版日期 | 2024-11-01 |
| 卷号 | 275期号:1 |
| ISSN号 | 0067-0049 |
| DOI | 10.3847/1538-4365/ad833c |
| 产权排序 | 第1完成单位 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | 天文学 ; 恒星与银河系 |
| URL标识 | 查看原文 |
| 出版地 | TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND |
| WOS关键词 | VALUE-ADDED CATALOG ; VARIATIONAL INFERENCE ; MAGELLANIC-CLOUD ; STARS ; III. ; PERFORMANCE ; DISTANCE ; RADII ; GAIA ; V. |
| 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 |
| WOS研究方向 | Astronomy & Astrophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001348920600001 |
| 出版者 | IOP Publishing Ltd |
| 资助机构 | the Natural Science Foundation of China[12103088, 12433009] ; Natural Science Foundation of China ; Gaia Data Processing and Analysis Consortium |
| 版本 | 出版稿 |
| 源URL | [http://ir.ynao.ac.cn/handle/114a53/27679]  |
| 专题 | 天文技术实验室 云南天文台_大样本恒星演化研究组 云南天文台_丽江天文观测站（南方基地） 云南天文台_中国科学院天体结构与演化重点实验室 |
| 作者单位 | 1.College of Physics and Electronic Engineering, Xingtai University, Xingtai 054001, People's Republic of China 2.Center for Astronomical Mega-Science, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100012, 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.University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China; 5.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, People's Republic of China; dingxu409@163.com; |
| 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). |
入库方式： OAI收割
来源：云南天文台
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。