Estimating stellar atmospheric parameters, absolute magnitudes and elemental abundances from the LAMOST spectra with Kernel-based principal component analysis
文献类型：期刊论文
| 作者 | Xiang, M. -S.1; Liu, X. -W.2,3; Shi, J. -R.1 ; Yuan, H. -B.4; Huang, Y.2; Luo, A. -L.1; Zhang, H. -W.2; Zhao, Y. -H.1; Zhang, J. -N.1; Ren, J. -J.2
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| 刊名 | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
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| 出版日期 | 2017 |
| 卷号 | 464期号:3页码:3657-3678 |
| 关键词 | techniques: spectroscopic stars: abundance stars: fundamental parameters Galaxy: evolution |
| 英文摘要 | Accurate determination of stellar atmospheric parameters and elemental abundances is crucial for Galactic archaeology via large-scale spectroscopic surveys. In this paper, we estimate stellar atmospheric parameters - effective temperature T-eff, surface gravity log g and metal-licity [Fe/H], absolute magnitudes M-V and M-Ks, alpha-element to metal (and iron) abundance ratio [alpha/M] (and [alpha/Fe]), as well as carbon and nitrogen abundances [C/H] and [N/H] from the Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) spectra with a multivariate regression method based on kernel-based principal component analysis, using stars in common with other surveys (Hipparcos, Kepler, Apache Point Observatory Galactic Evolution Experiment) as training data sets. Both internal and external examinations indicate that given a spectral signal-to-noise ratio (SNR) better than 50, our method is capable of delivering stellar parameters with a precision of similar to 100 K for T-eff, similar to 0.1 dex for log g, 0.3-0.4 mag for M-V and M-Ks, 0.1 dex for [Fe/H], [C/H] and [N/H], and better than 0.05 dex for [alpha/M] ([alpha/Fe]). The results are satisfactory even for a spectral SNR of 20. The work presents first determinations of [C/H] and [N/H] abundances from a vast data set of LAMOST, and, to our knowledge, the first reported implementation of absolute magnitude estimation directly based on a vast data set of observed spectra. The derived stellar parameters for millions of stars from the LAMOST surveys will be publicly available in the form of value-added catalogues. |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 类目[WOS] | Astronomy & Astrophysics |
| 研究领域[WOS] | Astronomy & Astrophysics |
| 关键词[WOS] | VELOCITY EXPERIMENT RAVE ; NEWTON-TELESCOPE LIBRARY ; 1ST DATA RELEASE ; SPECTROSCOPIC SURVEY ; OPEN CLUSTERS ; METALLICITY GRADIENTS ; GALACTIC ANTICENTRE ; PHOTOMETRIC SURVEY ; EMPIRICAL SPECTRA ; SCHMIDT TELESCOPE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000393647600084 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/8295]  |
| 专题 | 国家天文台_光学天文研究部 |
| 作者单位 | 1.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China 2.Peking Univ, Dept Astron, Beijing 100871, Peoples R China 3.Peking Univ, Kavli Inst Astron & Astrophys, Beijing 100871, Peoples R China 4.Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China 5.Hebei Normal Univ, Dept Space Sci & Astron, Shijiazhuang 050024, Peoples R China 6.Chinese Acad Sci, Natl Astron Observ, Nanjing Inst Astron Opt & Technol, Nanjing 210042, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xiang, M. -S.,Liu, X. -W.,Shi, J. -R.,et al. Estimating stellar atmospheric parameters, absolute magnitudes and elemental abundances from the LAMOST spectra with Kernel-based principal component analysis[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2017,464(3):3657-3678. |
| APA | Xiang, M. -S..,Liu, X. -W..,Shi, J. -R..,Yuan, H. -B..,Huang, Y..,...&Wang, Y. -F..(2017).Estimating stellar atmospheric parameters, absolute magnitudes and elemental abundances from the LAMOST spectra with Kernel-based principal component analysis.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,464(3),3657-3678. |
| MLA | Xiang, M. -S.,et al."Estimating stellar atmospheric parameters, absolute magnitudes and elemental abundances from the LAMOST spectra with Kernel-based principal component analysis".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 464.3(2017):3657-3678. |
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来源：国家天文台
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