中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network

文献类型:期刊论文

作者Ding X(丁旭)4,5,6; Song, ZhiMing2,3; Wang CJ(王传军)1,4,5,6; Ji KF(季凯帆)1,4,5,6
刊名ASTRONOMICAL JOURNAL
出版日期2024-05-01
卷号167期号:5
ISSN号0004-6256
DOI10.3847/1538-3881/ad3048
产权排序第1完成单位
文献子类Article
英文摘要A contact binary may be the progenitor of a red nova that eventually produces a merger event and have a cut-off period of around 0.2 days. Therefore, a large number of contact binaries is needed to search for the progenitor of red novae and to study the characteristics of short-period contact binaries. In this paper, we employ the Phoebe program to generate a large number of light curves based on the fundamental parameters of contact binaries. Using these light curves as samples, an autoencoder model is trained, which can reconstruct the light curves of contact binaries very well. When the error between the output light curve from the model and the input light curve is large, it may be due to other types of variable stars. The goodness of fit (R 2) between the output light curve from the model and the input light curve is calculated. Based on the thresholds for global goodness of fit (R 2), period, range magnitude, and local goodness of fit (R 2), a total of 1322 target candidates were obtained.
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MINIMUM MASS-RATIO ; ECLIPSING BINARIES ; CATALOG ; STARS. ; I. ; PARAMETERS ; PROJECT ; SYSTEMS ; II.
资助项目Chinese Natural Science Foundation; Yunnan Provincial Foundation[202101AT070020]; National Key R&D Program of China[2022YFF0711500]; National Key R&D Program of China[2023YFA1608300]; Yunnan Provincial Key Laboratory of Forensic Science[YJXK005]; Yunnan Basic Research Program[202201AU070116]; China Manned Space Project;[12103088]
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:001196691200001
出版者IOP Publishing Ltd
资助机构Chinese Natural Science Foundation ; Yunnan Provincial Foundation[202101AT070020] ; National Key R&D Program of China[2022YFF0711500, 2023YFA1608300] ; Yunnan Provincial Key Laboratory of Forensic Science[YJXK005] ; Yunnan Basic Research Program[202201AU070116] ; China Manned Space Project ; [12103088]
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/27042]  
专题云南天文台_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
天文技术实验室
作者单位1.University of the Chinese Academy of Sciences, Yuquan Road 19#, Shijingshan Block, 100049 Beijing, People's Republic of China
2.Yunnan Key Laboratory of Service Computing, Kunming, People's Republic of China;
3.School of Information, Yunnan University of Finance and Economics, 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.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;
6.Yunnan Observatories, Chinese Academy of Sciences (CAS), P.O. Box 110, 650216 Kunming, People's Republic of China; dingxu@ynao.ac.cn, wcj@ynao.ac.cn, jkf@ynao.ac.cn;
推荐引用方式
GB/T 7714
Ding X,Song, ZhiMing,Wang CJ,et al. Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network[J]. ASTRONOMICAL JOURNAL,2024,167(5).
APA 丁旭,Song, ZhiMing,王传军,&季凯帆.(2024).Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network.ASTRONOMICAL JOURNAL,167(5).
MLA 丁旭,et al."Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network".ASTRONOMICAL JOURNAL 167.5(2024).

入库方式: OAI收割

来源:云南天文台

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