Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network

doi:10.3847/1538-3881/ad3048

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	Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network
	Ding X(丁旭)4,5,6; Song, ZhiMing 2,3; Wang CJ(王传军)1,4,5,6; Ji KF(季凯帆)1,4,5,6
刊名	ASTRONOMICAL JOURNAL
	2024-05-01
卷号	167 期号:5
ISSN号	0004-6256
DOI	10.3847/1538-3881/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
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关键词	MINIMUM MASS-RATIO ; ECLIPSING BINARIES ; CATALOG ; STARS. ; I. ; PARAMETERS ; PROJECT ; SYSTEMS ; II.
WOS研究方向	Astronomy & Astrophysics
语种	英语
出版者	IOP Publishing Ltd
WOS记录号	WOS:001196691200001
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]
内容类型	期刊论文
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）
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).