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

doi:10.3847/1538-3881/ad3048

YNAO OpenIR > 南方基地

	Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network
	Ding X(丁旭)1,2,3 ; Song, ZhiMing 4,5; Wang CJ(王传军)1,2,3,6 ; Ji KF(季凯帆)1,2,3,6
发表期刊	ASTRONOMICAL JOURNAL
	2024-05-01
卷号	167 期号:5
DOI	10.3847/1538-3881/ad3048
产权排序	第1完成单位
收录类别	SCI
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.
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]
项目资助者	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]
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	0004-6256
URL	查看原文
WOS记录号	WOS:001196691200001
WOS研究方向	Astronomy & Astrophysics
WOS类目	Astronomy & Astrophysics
关键词[WOS]	MINIMUM MASS-RATIO ; ECLIPSING BINARIES ; CATALOG ; STARS. ; I. ; PARAMETERS ; PROJECT ; SYSTEMS ; II.
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/114a53/27042
专题	南方基地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.Yunnan Observatories, Chinese Academy of Sciences (CAS), P.O. Box 110, 650216 Kunming, People's Republic of China; [email protected], [email protected], [email protected]; 2.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; 3.Center for Astronomical Mega-Science, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, 100012, People's Republic of China; 4.School of Information, Yunnan University of Finance and Economics, Kunming, People's Republic of China; 5.Yunnan Key Laboratory of Service Computing, Kunming, People's Republic of China; 6.University of the Chinese Academy of Sciences, Yuquan Road 19#, Shijingshan Block, 100049 Beijing, 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	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).

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