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Investigation of stellar magnetic activity using variational autoencoder based on low-resolution spectroscopic survey
Xiang Y(项越)1,2; Gu SH(顾盛宏)1,2,3; Cao DT(曹东涛)1,2
发表期刊MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
2022-07-06
卷号514期号:4页码:4781-4793
DOI10.1093/mnras/stac1693
产权排序第1完成单位
收录类别SCI ; EI
关键词methods: data analysis techniques: spectroscopic stars: activity stars: chromospheres
摘要

We apply the variational autoencoder (VAE) to the LAMOST-K2 low-resolution spectra to detect the magnetic activity of the stars in the K2 field. After the training on the spectra of the selected inactive stars, the VAE model can efficiently generate the synthetic reference templates needed by the spectral subtraction procedure, without knowing any stellar parameters. Then, we detect the peculiar spectral features, such as chromospheric emissions, strong nebular emissions, and lithium absorptions, in our sample. We measure the emissions of the chromospheric activity indicators, H alpha and Ca ii infrared triplet (IRT) lines, to quantify the stellar magnetic activity. The excess emissions of H alpha and Ca ii IRT lines of the active stars are correlated well to the rotational periods and the amplitudes of light curves derived from the K2 photometry. We degrade the LAMOST spectra to simulate the slitless spectra of the China Space Station Telescope (CSST) and apply the VAE to the simulated data. For cool active stars, we reveal a good agreement between the equivalent widths of H alpha line derived from the spectra with two resolutions. The result indicates the ability of identifying the magnetically active stars in the future CSST survey, which will deliver an unprecedented large data base of low-resolution spectra as well as simultaneous multiband photometry of stars.

资助项目China Manned Space Project[CMS-CSST-2021-B07] ; National Natural Science Foundation of China[10373023] ; National Natural Science Foundation of China[10773027] ; National Natural Science Foundation of China[U1531121] ; National Natural Science Foundation of China[11603068] ; National Natural Science Foundation of China[11903074] ; National Development and Reform Commission ; NASA Science Mission directorate
项目资助者China Manned Space Project[CMS-CSST-2021-B07] ; National Natural Science Foundation of China[10373023, 10773027, U1531121, 11603068, 11903074] ; National Development and Reform Commission ; NASA Science Mission directorate
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OXFORD UNIV PRESS
出版地GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
ISSN0035-8711
URL查看原文
WOS记录号WOS:000821228400008
WOS研究方向Astronomy & Astrophysics
WOS类目Astronomy & Astrophysics
关键词[WOS]RELATIVE FLUX CALIBRATION ; DIGITAL SKY SURVEY ; 1ST DATA RELEASE ; LAMOST OBSERVATIONS ; X-RAY ; CHROMOSPHERIC EMISSION ; VARIABLE-STARS ; H-ALPHA ; SPECTRA ; I.
EI入藏号20223012388027
EI主题词Stars
EI分类号657.2 Extraterrestrial Physics and Stellar Phenomena - 701.2 Magnetism: Basic Concepts and Phenomena - 801 Chemistry - 804.1 Organic Compounds - 941.4 Optical Variables Measurements
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
版本出版稿
条目标识符http://ir.ynao.ac.cn/handle/114a53/25284
专题系外行星研究组
中国科学院天体结构与演化重点实验室
通讯作者Xiang Y(项越); Gu SH(顾盛宏)
作者单位1.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China;
2.Key Laboratory for the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, Kunming 650216, China;
3.School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 101408, China
第一作者单位中国科学院云南天文台
通讯作者单位中国科学院云南天文台
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Xiang Y,Gu SH,Cao DT. Investigation of stellar magnetic activity using variational autoencoder based on low-resolution spectroscopic survey[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2022,514(4):4781-4793.
APA Xiang Y,Gu SH,&Cao DT.(2022).Investigation of stellar magnetic activity using variational autoencoder based on low-resolution spectroscopic survey.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,514(4),4781-4793.
MLA Xiang Y,et al."Investigation of stellar magnetic activity using variational autoencoder based on low-resolution spectroscopic survey".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 514.4(2022):4781-4793.
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