Identifying Carbon stars from the LAMOST pilot survey with the efficient manifold ranking algorithm
文献类型：期刊论文
| 作者 | Si, Jian-Min1,2,3; Li, Yin-Bi1 ; Luo, A-Li1,3; Tu, Liang-Ping4; Shi, Zhi-Xin1,2,3; Zhang, Jian-Nan1; Wei, Peng1,3; Zhao, Gang1; Wu, Yi-Hong2; Wu, Fu-Chao2
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| 刊名 | RESEARCH IN ASTRONOMY AND ASTROPHYSICS
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| 出版日期 | 2015-10-01 |
| 卷号 | 15期号:10页码:1671-1694 |
| 关键词 | methods: data analysis methods: statistical stars: carbon binaries stars: variables |
| 英文摘要 | Carbon stars are excellent kinematic tracers of galaxies and can serve as a viable standard candle, so it is worthwhile to automatically search for them in a large amount of spectra. In this paper, we apply the efficient manifold ranking algorithm to search for carbon stars from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) pilot survey, whose performance and robustness are verified comprehensively with four test experiments. Using this algorithm, we find a total of 183 carbon stars, and 158 of them are new findings. According to different spectral features, our carbon stars are classified as 58 C-H stars, 11 C-H star candidates, 56 C-R stars, ten C-R star candidates, 30 C-N stars, three C-N star candidates, and four C-J stars. There are also ten objects which have no spectral type because of low spectral quality, and a composite spectrum consisting of a white dwarf and a carbon star. Applying the support vector machine algorithm, we obtain the linear optimum classification plane in the J - H versus H - K-s color diagram which can be used to distinguish C-H from C-N stars with their J - H and H - K-s colors. In addition, we identify 18 dwarf carbon stars with their relatively high proper motions, and find three carbon stars with FUV detections likely have optical invisible companions by cross matching with data from the Galaxy Evolution Explorer. In the end, we detect four variable carbon stars with the Northern Sky Variability Survey, the Catalina Sky Survey and the LINEAR variability databases. According to their periods and amplitudes derived by fitting light curves with a sinusoidal function, three of them are likely semiregular variable stars and one is likely a Mira variable star. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000362825700005 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/5560]  |
| 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.Chinese Acad Sci, Inst Automat, Natl Key Lab Pattern Recognit, Beijing 100095, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Liaoning Univ Sci & Technol, Sch Sci, Anshan 144051, Peoples R China |
| 推荐引用方式 GB/T 7714 | Si, Jian-Min,Li, Yin-Bi,Luo, A-Li,et al. Identifying Carbon stars from the LAMOST pilot survey with the efficient manifold ranking algorithm[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2015,15(10):1671-1694. |
| APA | Si, Jian-Min.,Li, Yin-Bi.,Luo, A-Li.,Tu, Liang-Ping.,Shi, Zhi-Xin.,...&Luo Ali.(2015).Identifying Carbon stars from the LAMOST pilot survey with the efficient manifold ranking algorithm.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,15(10),1671-1694. |
| MLA | Si, Jian-Min,et al."Identifying Carbon stars from the LAMOST pilot survey with the efficient manifold ranking algorithm".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 15.10(2015):1671-1694. |
入库方式： OAI收割
来源：国家天文台
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