Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs

doi:10.1093/pasj/psz006

CORC > 国家天文台 > 中国科学院国家天文台

	Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs
	Lei, Zhenxin 2,3; Bu, Yude 4; Zhao, Jingkun 2; Nemeth, Peter 1,5; Zhao, Gang 2
刊名	PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN
	2019-04-01
卷号	71 期号:2 页码:15
关键词	methods: miscellaneous subdwarfs surveys
ISSN号	0004-6264
DOI	10.1093/pasj/psz006
英文摘要	Employing a new machine-learning method, named the hierarchical extreme learning machine (HELM) algorithm, we identified 56 hot subdwarf stars in the first data release (DR1) of the Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) survey. The atmospheric parameters of the stars are obtained by fitting the profiles of hydrogen (H) Balmer lines and helium (He) lines with synthetic spectra calculated from non-local thermodynamic equilibrium (NLTE) model atmospheres. Five He-rich hot subdwarf stars were found in our sample with their log (nHe/nH) > -1, while 51 stars are He-poor sdB, sdO and sdOB stars. We also confirmed the two He sequences of hot subdwarf stars found by Edelmann et al. (2003, A&A, 400, 939) in a T-eff-log(nHe/nH) diagram. The HELM algorithm works directly on the observed spectroscopy and is able to filter out spectral properties without supplementary photometric data. The results presented in this study demonstrate that the HELM algorithm is a reliable method to search for hot subdwarf stars after suitable training is performed, and it can also be used to search for other objects which have obvious features in their spectra or images.
资助项目	National Natural Science Foundation of China[11390371] ; National Natural Science Foundation of China[11503016] ; National Natural Science Foundation of China[11873037] ; National Natural Science Foundation of China[1603012] ; National Natural Science Foundation of China[U1731111] ; Natural Science Foundation of Hunan province[2017JJ3283] ; Youth Fund project of Hunan Provincial Education Department[15B214] ; Astronomical Big Data Joint Research Center ; Alibaba Cloud, Young Scholars Program of Shandong University, Weihai[2016WHWLJH09] ; Natural Science Foundation of Shandong Province[ZR2015AQ011] ; China post-doctoral Science Foundation[2015M571124] ; Grant Agency of the Czech Republic[GACR 18-20083S] ; National Development and Reform Commission ; Center for Astronomical Mega-Science, Chinese Academy of Sciences (CAMS)
WOS关键词	HORIZONTAL-BRANCH STARS ; DIGITAL SKY SURVEY ; BLANKETED MODEL ATMOSPHERES ; POSSIBLE FORMATION CHANNEL ; EXTREME LEARNING-MACHINE ; BLUE HOOK STARS ; SUBLUMINOUS STARS ; ULTRAVIOLET-RADIATION ; WHITE-DWARFS ; GALEX SURVEY
WOS研究方向	Astronomy & Astrophysics
语种	英语
出版者	OXFORD UNIV PRESS
WOS记录号	WOS:000489563600013
资助机构	National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Hunan province ; Natural Science Foundation of Hunan province ; Youth Fund project of Hunan Provincial Education Department ; Youth Fund project of Hunan Provincial Education Department ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; Alibaba Cloud, Young Scholars Program of Shandong University, Weihai ; Alibaba Cloud, Young Scholars Program of Shandong University, Weihai ; Natural Science Foundation of Shandong Province ; Natural Science Foundation of Shandong Province ; China post-doctoral Science Foundation ; China post-doctoral Science Foundation ; Grant Agency of the Czech Republic ; Grant Agency of the Czech Republic ; National Development and Reform Commission ; National Development and Reform Commission ; Center for Astronomical Mega-Science, Chinese Academy of Sciences (CAMS) ; Center for Astronomical Mega-Science, Chinese Academy of Sciences (CAMS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Hunan province ; Natural Science Foundation of Hunan province ; Youth Fund project of Hunan Provincial Education Department ; Youth Fund project of Hunan Provincial Education Department ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; Alibaba Cloud, Young Scholars Program of Shandong University, Weihai ; Alibaba Cloud, Young Scholars Program of Shandong University, Weihai ; Natural Science Foundation of Shandong Province ; Natural Science Foundation of Shandong Province ; China post-doctoral Science Foundation ; China post-doctoral Science Foundation ; Grant Agency of the Czech Republic ; Grant Agency of the Czech Republic ; National Development and Reform Commission ; National Development and Reform Commission ; Center for Astronomical Mega-Science, Chinese Academy of Sciences (CAMS) ; Center for Astronomical Mega-Science, Chinese Academy of Sciences (CAMS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Hunan province ; Natural Science Foundation of Hunan province ; Youth Fund project of Hunan Provincial Education Department ; Youth Fund project of Hunan Provincial Education Department ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; Alibaba Cloud, Young Scholars Program of Shandong University, Weihai ; Alibaba Cloud, Young Scholars Program of Shandong University, Weihai ; Natural Science Foundation of Shandong Province ; Natural Science Foundation of Shandong Province ; China post-doctoral Science Foundation ; China post-doctoral Science Foundation ; Grant Agency of the Czech Republic ; Grant Agency of the Czech Republic ; National Development and Reform Commission ; National Development and Reform Commission ; Center for Astronomical Mega-Science, Chinese Academy of Sciences (CAMS) ; Center for Astronomical Mega-Science, Chinese Academy of Sciences (CAMS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Hunan province ; Natural Science Foundation of Hunan province ; Youth Fund project of Hunan Provincial Education Department ; Youth Fund project of Hunan Provincial Education Department ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; Alibaba Cloud, Young Scholars Program of Shandong University, Weihai ; Alibaba Cloud, Young Scholars Program of Shandong University, Weihai ; Natural Science Foundation of Shandong Province ; Natural Science Foundation of Shandong Province ; China post-doctoral Science Foundation ; China post-doctoral Science Foundation ; Grant Agency of the Czech Republic ; Grant Agency of the Czech Republic ; National Development and Reform Commission ; National Development and Reform Commission ; Center for Astronomical Mega-Science, Chinese Academy of Sciences (CAMS) ; Center for Astronomical Mega-Science, Chinese Academy of Sciences (CAMS)
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/28072]
专题	中国科学院国家天文台
通讯作者	Lei, Zhenxin; Zhao, Gang
作者单位	1.Astroserver Org, H-8533 Malomsok, Hungary 2.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100012, Peoples R China 3.Shaoyang Univ, Coll Sci, Shaoyang 422000, Peoples R China 4.Shandong Univ, Sch Math & Stat, Weihai 264209, Shandong, Peoples R China 5.Czech Acad Sci, Astron Inst, CZ-25165 Ondrejov, Czech Republic
推荐引用方式 GB/T 7714	Lei, Zhenxin,Bu, Yude,Zhao, Jingkun,et al. Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN,2019,71(2):15.
APA	Lei, Zhenxin,Bu, Yude,Zhao, Jingkun,Nemeth, Peter,&Zhao, Gang.(2019).Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN,71(2),15.
MLA	Lei, Zhenxin,et al."Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN 71.2(2019):15.