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Abundance Estimates for 16 Elements in 6 Million Stars from LAMOST DR5 Low-Resolution Spectra
Xiang,Maosheng1; Ting,Yuan-Sen2,3,4; Rix,Hans-Walter1; Sandford,Nathan5; Buder,Sven1; Lind,Karin1,6; Liu,Xiao-Wei7; Shi,Jian-Rong8,9; Zhang,Hua-Wei10
2019-12-01
Source PublicationThe Astrophysical Journal Supplement Series
ISSN0067-0049
Volume245Issue:2
AbstractAbstract We present the determination of stellar parameters and individual elemental abundances for 6 million stars from ~8 million low-resolution (R ~ 1800) spectra from LAMOST DR5. This is based on a modeling approach that we dub the data-driven Payne (DD-Payne), which inherits essential ingredients from both the Payne and the Cannon. It is a data-driven model that incorporates constraints from theoretical spectral models to ensure the derived abundance estimates are physically sensible. Stars in LAMOST DR5 that are in common with either GALAH DR2 or APOGEE DR14 are used to train a model that delivers stellar parameters (Teff, log g, Vmic) and abundances for 16 elements (C, N, O, Na, Mg, Al, Si, Ca, Ti, Cr, Mn, Fe, Co, Ni, Cu, and Ba) over a metallicity range of ?4?dex
KeywordSpectroscopy Spectroscopic binary stars Stellar atmospheres Stellar abundances Astronomy databases Stellar properties Stellar spectral lines Astronomy data analysis Sky surveys Fundamental parameters of stars Milky Way Galaxy Astronomy data modeling
DOI10.3847/1538-4365/ab5364
Language英语
WOS IDIOP:0067-0049-245-2-ab5364
PublisherThe American Astronomical Society
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Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/28707
Collection中国科学院国家天文台
Affiliation1.Max-Planck Institute for Astronomy, K?nigstuhl 17, D-69117 Heidelberg, Germany; mxiang@mpia.de
2.Institute for Advanced Study, Princeton, NJ 08540, USA
3.Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA
4.Observatories of the Carnegie Institution of Washington, 813 Santa Barbara Street, Pasadena, CA 91101, USA
5.Department of Astronomy and Theoretical Astrophysics, University of California Berkeley, Berkeley, CA 94720, USA
6.Department of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden
7.South-Western Institute for Astronomy Research, Yunnan University, Kunming 650500, People’s Republic of China
8.Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, People’s Republic of China
9.University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
10.Department of Astronomy, Peking University, Beijing 100871, People’s Republic of China
Recommended Citation
GB/T 7714
Xiang,Maosheng,Ting,Yuan-Sen,Rix,Hans-Walter,et al. Abundance Estimates for 16 Elements in 6 Million Stars from LAMOST DR5 Low-Resolution Spectra[J]. The Astrophysical Journal Supplement Series,2019,245(2).
APA Xiang,Maosheng.,Ting,Yuan-Sen.,Rix,Hans-Walter.,Sandford,Nathan.,Buder,Sven.,...&Zhang,Hua-Wei.(2019).Abundance Estimates for 16 Elements in 6 Million Stars from LAMOST DR5 Low-Resolution Spectra.The Astrophysical Journal Supplement Series,245(2).
MLA Xiang,Maosheng,et al."Abundance Estimates for 16 Elements in 6 Million Stars from LAMOST DR5 Low-Resolution Spectra".The Astrophysical Journal Supplement Series 245.2(2019).
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