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SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey
Wang,Rui1,2; Luo,A-Li1,2,3,4; Chen,Jian-Jun1; Hou,Wen1; Zhang,Shuo1,2; Zhao,Yong-Heng1,2; Li,Xiang-Ru5; Hou,Yong-Hui2,6
2020-02-28
Source PublicationThe Astrophysical Journal
ISSN0004-637X
Volume891Issue:1
AbstractAbstract The fundamental stellar atmospheric parameters (Teff and log g) and 13 chemical abundances are derived for medium-resolution spectroscopy from Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Medium Resolution Survey (MRS) data sets with a deep-learning method. The neural networks we designed, named SPCANet, precisely map LAMOST MRS spectra to stellar parameters and chemical abundances. The stellar labels derived by SPCANet have precisions of 119 K for Teff and 0.17 dex for log g. The abundance precision of 11 elements including [C/H], [N/H], [O/H], [Mg/H], [Al/H], [Si/H], [S/H], [Ca/H], [Ti/H], [Cr/H], [Fe/H], and [Ni/H] are 0.06?~?0.12 dex, while that of [Cu/H] is 0.19 dex. These precisions can be reached even for spectra with signal-to-noise ratios as low as 10. The results of SPCANet are consistent with those from other surveys such as APOGEE, GALAH, and RAVE, and are also validated with the previous literature values including clusters and field stars. The catalog of the estimated parameters is available at doi:10.12149/101012.
KeywordStellar atmospheres Astronomical methods Spectroscopy
DOI10.3847/1538-4357/ab6dea
Language英语
WOS IDIOP:0004-637X-891-1-ab6dea
PublisherThe American Astronomical Society
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/53984
Collection中国科学院国家天文台
Affiliation1.Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China lal@nao.cas.cn
2.University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
3.Department of Physics and Astronomy, University of Delaware, Newark, DE, 19716, USA
4.Institute for Astronomical Science and School of Information Management, Dezhou University, Dezhou 253023, People's Republic of China
5.South China Normal University, Guangzhou 510631, People's Republic of China
6.Nanjing Institute of Astronomical Optics, & Technology, National Astronomical Observatories, Chinese Academy of Sciences, Nanjing 210042, People's Republic of China
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang,Rui,Luo,A-Li,Chen,Jian-Jun,et al. SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey[J]. The Astrophysical Journal,2020,891(1).
APA Wang,Rui.,Luo,A-Li.,Chen,Jian-Jun.,Hou,Wen.,Zhang,Shuo.,...&Hou,Yong-Hui.(2020).SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey.The Astrophysical Journal,891(1).
MLA Wang,Rui,et al."SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey".The Astrophysical Journal 891.1(2020).
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