938,720 Giants from LAMOST I: Determination of Stellar Parameters and α, C, N Abundances with Deep Learning

doi:10.1088/1538-3873/ab2687

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	938,720 Giants from LAMOST I: Determination of Stellar Parameters and α, C, N Abundances with Deep Learning
	Zhang,X.1,2; Zhao,G.1,2; Yang,C. Q.1,2; Wang,Q. X.1,2; Zuo,W. B.1,2
刊名	Publications of the Astronomical Society of the Pacific
	2019-07-19
卷号	131 期号:1003
关键词	Galaxy: evolution stars: abundances techniques: spectroscopic
ISSN号	0004-6280
DOI	10.1088/1538-3873/ab2687
英文摘要	Abstract Extracting accurate atmospheric parameters and elemental abundances from stellar spectra is crucial for studying the Galactic evolution. In this paper, a deep neural network architecture named StarNet is used to estimate stellar parameters (Teff, log g, [M/H]), α-elements as well as C and N abundances from LAMOST spectra, using stars in common with APOGEE survey as training data set. With the spectral signal-to-noise ratio (S/N) in g band (S/Ng) larger than 10, the test indicates our method yields uncertainties of 45 K for Teff, 0.1 dex for log g, 0.05 dex for [M/H], 0.03 dex for [α/M], 0.06 dex for [C/M] and 0.07 dex for [N/M]. Because of few stars with [M/H] ?1.0 dex. Based on test results, we think StarNet is valid for measuring parameters from low-resolution spectra of the LAMOST survey. The trained network is then used to predict parameters for 938,720 giants from LAMOST DR5. Within the range of stellar parameters 4000 K < Teff?
语种	英语
出版者	The Astronomical Society of the Pacific
WOS记录号	IOP:0004-6280-131-1003-AB2687
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/28757]
专题	中国科学院国家天文台
作者单位	1.School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China 2.Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China gzhao@nao.cas.cn
推荐引用方式 GB/T 7714	Zhang,X.,Zhao,G.,Yang,C. Q.,et al. 938,720 Giants from LAMOST I: Determination of Stellar Parameters and α, C, N Abundances with Deep Learning[J]. Publications of the Astronomical Society of the Pacific,2019,131(1003).
APA	Zhang,X.,Zhao,G.,Yang,C. Q.,Wang,Q. X.,&Zuo,W. B..(2019).938,720 Giants from LAMOST I: Determination of Stellar Parameters and α, C, N Abundances with Deep Learning.Publications of the Astronomical Society of the Pacific,131(1003).
MLA	Zhang,X.,et al."938,720 Giants from LAMOST I: Determination of Stellar Parameters and α, C, N Abundances with Deep Learning".Publications of the Astronomical Society of the Pacific 131.1003(2019).