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Searching for Hot Subdwarf Stars from the LAMOST Spectra. I. Method
Bu, Yude1,2; Lei, Zhenxin2,3; Zhao, Gang2; Bu, Jingde4; Pan, Jingchang5
2017-11-01
Source PublicationASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
Volume233Issue:1
AbstractHot subdwarf stars are core He burning stars located at the blue end of the horizontal branch, which is also known as the extreme horizontal branch. The study of hot subdwarf stars is important for understanding stellar astrophysics, globular clusters, and galaxies. Presently, some problems associated with hot subdwarf stars are still unclear. To better study the properties of these stars, we should find more hot subdwarf stars to enlarge the sample size. The traditional method of searching for hot subdwarfs from the large data sets is based on the color cuts followed by visual inspection. This method is not suitable for the data set without homogeneous colors, such as the spectra obtained by the Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST). In this paper, we present a new method of searching for hot subdwarf stars in large spectroscopic surveys using a machine learning algorithm, the hierarchical extreme learning machine (HELM) algorithm. We have applied the HELM algorithm to the spectra from the LAMOST survey, and classification errors are considerably small: for the single hot subdwarf stars, accuracy -0.92 and efficiency -0.96; and for the hot subdwarf binaries, accuracy -0.80 and efficiency = 0.71. A comparison of the HELM and other popular algorithms shows that HELM is accurate and efficient in classifying hot subdwarf stars. This method provides a new tool for searching for hot subdwarf stars in large spectroscopic surveys.
SubtypeArticle
KeywordMethods: Statistical Stars: Statistics Subdwarfs
WOS HeadingsScience & Technology ; Physical Sciences
Funding OrganizationNational Natural Science Foundation of China(11603012 ; National Natural Science Foundation of China(11603012 ; Shandong University, Weihai(2016WHWLJH09) ; Shandong University, Weihai(2016WHWLJH09) ; Natural Science Foundation of Shandong Province, China(ZR2015AQ011) ; Natural Science Foundation of Shandong Province, China(ZR2015AQ011) ; China postdoctoral Science Foundation(2015M571124) ; China postdoctoral Science Foundation(2015M571124) ; Natural Science Foundation of Hunan province(2017JJ3283) ; Natural Science Foundation of Hunan province(2017JJ3283) ; Chinese Academy of Sciences(XDB09000000) ; Chinese Academy of Sciences(XDB09000000) ; National Major Research High Performance Computing Program of China(2016YFB0200300) ; National Major Research High Performance Computing Program of China(2016YFB0200300) ; U1431102 ; U1431102 ; 11503016 ; 11503016 ; 11603014 ; 11603014 ; 11390371 ; 11390371 ; 11233004) ; 11233004) ; National Natural Science Foundation of China(11603012 ; National Natural Science Foundation of China(11603012 ; Shandong University, Weihai(2016WHWLJH09) ; Shandong University, Weihai(2016WHWLJH09) ; Natural Science Foundation of Shandong Province, China(ZR2015AQ011) ; Natural Science Foundation of Shandong Province, China(ZR2015AQ011) ; China postdoctoral Science Foundation(2015M571124) ; China postdoctoral Science Foundation(2015M571124) ; Natural Science Foundation of Hunan province(2017JJ3283) ; Natural Science Foundation of Hunan province(2017JJ3283) ; Chinese Academy of Sciences(XDB09000000) ; Chinese Academy of Sciences(XDB09000000) ; National Major Research High Performance Computing Program of China(2016YFB0200300) ; National Major Research High Performance Computing Program of China(2016YFB0200300) ; U1431102 ; U1431102 ; 11503016 ; 11503016 ; 11603014 ; 11603014 ; 11390371 ; 11390371 ; 11233004) ; 11233004)
DOI10.3847/1538-4365/aa91cd
WOS KeywordDIGITAL SKY SURVEY ; POSSIBLE FORMATION CHANNEL ; EXTREME LEARNING-MACHINE ; IA PROGENITOR SURVEY ; 1ST DATA RELEASE ; BLUE HOOK STARS ; ATMOSPHERIC PARAMETERS ; WHITE-DWARF ; ELLIPTIC GALAXIES ; SUBLUMINOUS STARS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(11603012 ; National Natural Science Foundation of China(11603012 ; Shandong University, Weihai(2016WHWLJH09) ; Shandong University, Weihai(2016WHWLJH09) ; Natural Science Foundation of Shandong Province, China(ZR2015AQ011) ; Natural Science Foundation of Shandong Province, China(ZR2015AQ011) ; China postdoctoral Science Foundation(2015M571124) ; China postdoctoral Science Foundation(2015M571124) ; Natural Science Foundation of Hunan province(2017JJ3283) ; Natural Science Foundation of Hunan province(2017JJ3283) ; Chinese Academy of Sciences(XDB09000000) ; Chinese Academy of Sciences(XDB09000000) ; National Major Research High Performance Computing Program of China(2016YFB0200300) ; National Major Research High Performance Computing Program of China(2016YFB0200300) ; U1431102 ; U1431102 ; 11503016 ; 11503016 ; 11603014 ; 11603014 ; 11390371 ; 11390371 ; 11233004) ; 11233004) ; National Natural Science Foundation of China(11603012 ; National Natural Science Foundation of China(11603012 ; Shandong University, Weihai(2016WHWLJH09) ; Shandong University, Weihai(2016WHWLJH09) ; Natural Science Foundation of Shandong Province, China(ZR2015AQ011) ; Natural Science Foundation of Shandong Province, China(ZR2015AQ011) ; China postdoctoral Science Foundation(2015M571124) ; China postdoctoral Science Foundation(2015M571124) ; Natural Science Foundation of Hunan province(2017JJ3283) ; Natural Science Foundation of Hunan province(2017JJ3283) ; Chinese Academy of Sciences(XDB09000000) ; Chinese Academy of Sciences(XDB09000000) ; National Major Research High Performance Computing Program of China(2016YFB0200300) ; National Major Research High Performance Computing Program of China(2016YFB0200300) ; U1431102 ; U1431102 ; 11503016 ; 11503016 ; 11603014 ; 11603014 ; 11390371 ; 11390371 ; 11233004) ; 11233004)
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000415043000001
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/20198
Collection光学天文研究部
Affiliation1.Shandong Univ, Sch Math & Stat, Weihai 264209, Shandong, Peoples R China
2.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100012, Peoples R China
3.Shaoyang Univ, Dept Sci, Shaoyang 422000, Peoples R China
4.Natl Res Ctr High Performance Comp Engn Technol, Beijing 100093, Beijing, Peoples R China
5.Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Shandong, Peoples R China
Recommended Citation
GB/T 7714
Bu, Yude,Lei, Zhenxin,Zhao, Gang,et al. Searching for Hot Subdwarf Stars from the LAMOST Spectra. I. Method[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2017,233(1).
APA Bu, Yude,Lei, Zhenxin,Zhao, Gang,Bu, Jingde,&Pan, Jingchang.(2017).Searching for Hot Subdwarf Stars from the LAMOST Spectra. I. Method.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,233(1).
MLA Bu, Yude,et al."Searching for Hot Subdwarf Stars from the LAMOST Spectra. I. Method".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 233.1(2017).
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