A machine-learning method to derive the parameters of contact binaries
文献类型:期刊论文
作者 | Ding X(丁旭)1,2,3,4; Ji KF(季凯帆)1,2,3,4; Li XZ(李旭志)1,2,3,4 |
刊名 | PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN |
出版日期 | 2021-08 |
卷号 | 73期号:4页码:786-794 |
ISSN号 | 0004-6264 |
关键词 | binaries: eclipsing methods: data analysis methods: statistical |
DOI | 10.1093/pasj/psab042 |
产权排序 | 第1完成单位 |
文献子类 | Article |
英文摘要 | Contact binary stars are important research objects in astrophysics. The calculation speed of deriving the parameters of contact binaries with the Wilson-Devinney program and the Phoebe with Markov chain Monte Carlo (MCMC) program is relatively slow. It is unrealistic to derive the parameters in batches with the program for sky survey data. We obtain a neural network model of supervised learning with the training of synthetic light curves with Phoebe. We calculate the parameters of eight special targets from the simulated data and the Kepler data. Then, we generate the new light curve to fit the light curve of the special target base on these parameters. The correlation index R-2 of the fitting result is more than 0.98. The method can be used to fit the target which has orbital inclinations greater than 50 . By fitting the Kepler data and the observed data on the ground, the method has a good generalization ability to these targets, which have some noise and some starspots. The calculation speed of one light curve with this method is less than seconds. We can derive the parameters quickly in batches to undertake some statistical work for sky survey data with the method. |
学科主题 | 天文学 ; 恒星与银河系 ; 计算机科学技术 ; 人工智能 ; 计算机应用 |
URL标识 | 查看原文 |
出版地 | GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND |
WOS关键词 | LIGHT CURVES ; STARS |
资助项目 | Chinese Natural Science FoundationNational Natural Science Foundation of China (NSFC)[12073077] ; Chinese Natural Science FoundationNational Natural Science Foundation of China (NSFC)[11873027] ; Chinese Natural Science FoundationNational Natural Science Foundation of China (NSFC)[11803087] ; Chinese Academy of SciencesChinese Academy of Sciences[Y8XB018001] ; project of Yunnan Science and Technology Department[202003AD150003] |
WOS研究方向 | Astronomy & Astrophysics |
语种 | 英语 |
出版者 | OXFORD UNIV PRESS |
WOS记录号 | WOS:000728400300003 |
资助机构 | Chinese Natural Science FoundationNational Natural Science Foundation of China (NSFC)[12073077, 11873027, 11803087] ; Chinese Academy of SciencesChinese Academy of Sciences[Y8XB018001] ; project of Yunnan Science and Technology Department[202003AD150003] |
版本 | 出版稿 |
源URL | [http://ir.ynao.ac.cn/handle/114a53/24723] |
专题 | 云南天文台_丽江天文观测站(南方基地) 云南天文台_双星与变星研究组 云南天文台_中国科学院天体结构与演化重点实验室 天文技术实验室 |
通讯作者 | Ji KF(季凯帆) |
作者单位 | 1.University of the Chinese Academy of Sciences, Yuquan Road 19#, Shijingshan Block, 100049 Beijing, China 2.Center for Astronomical Mega-Science, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, 100012, China; 3.Key Laboratory of the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, P.O. Box 110, 650216 Kunming, China; 4.Yunnan Observatories, Chinese Academy of Sciences (CAS), P.O. Box 110, 650216 Kunming, China; |
推荐引用方式 GB/T 7714 | Ding X,Ji KF,Li XZ. A machine-learning method to derive the parameters of contact binaries[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN,2021,73(4):786-794. |
APA | Ding X,Ji KF,&Li XZ.(2021).A machine-learning method to derive the parameters of contact binaries.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN,73(4),786-794. |
MLA | Ding X,et al."A machine-learning method to derive the parameters of contact binaries".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN 73.4(2021):786-794. |
入库方式: OAI收割
来源:云南天文台
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