Searching for Hot Subdwarf Stars from the LAMOST Spectra. I. Method | |
Bu, Yude1,2; Pan, Jingchang4; Bu, Jingde3; Zhao, Gang1; Lei, Zhenxin1,5 | |
刊名 | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES |
2017-11-01 | |
卷号 | 233期号:1 |
关键词 | Methods: Statistical Stars: Statistics Subdwarfs |
DOI | 10.3847/1538-4365/aa91cd |
文献子类 | Article |
英文摘要 | Hot 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. |
WOS关键词 | DIGITAL 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 |
WOS研究方向 | Astronomy & Astrophysics |
语种 | 英语 |
WOS记录号 | WOS:000415043000001 |
资助机构 | 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) ; 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) |
内容类型 | 期刊论文 |
源URL | [http://ir.bao.ac.cn/handle/114a11/20198] |
专题 | 国家天文台_光学天文研究部 |
作者单位 | 1.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100012, Peoples R China 2.Shandong Univ, Sch Math & Stat, Weihai 264209, Shandong, Peoples R China 3.Natl Res Ctr High Performance Comp Engn Technol, Beijing 100093, Beijing, Peoples R China 4.Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Shandong, Peoples R China 5.Shaoyang Univ, Dept Sci, Shaoyang 422000, Peoples R China |
推荐引用方式 GB/T 7714 | Bu, Yude,Pan, Jingchang,Bu, Jingde,et al. Searching for Hot Subdwarf Stars from the LAMOST Spectra. I. Method[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2017,233(1). |
APA | Bu, Yude,Pan, Jingchang,Bu, Jingde,Zhao, Gang,&Lei, Zhenxin.(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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