中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analysis of Stellar Spectra from LAMOST DR5 with Generative Spectrum Networks

文献类型:期刊论文

作者Wang Rui1,2,3; Luo A-li2,3; Zhang Shuo1,2,3; Hou Wen2,3; Du Bing2,3; Song Yihan2,3; Wu Kefei2,3; Chen Jianjun2,3; Zuo Fang2,3; Qin Li1,2,3
刊名PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
出版日期2019-02-01
卷号131期号:996页码:13
关键词methods: data analysis techniques: spectroscopic stars: atmospheres
ISSN号0004-6280
DOI10.1088/1538-3873/aaf25f
英文摘要In this study, the fundamental stellar atmospheric parameters (T-eff, log g, [Fe/H], and [alpha/Fe]) were derived for low-resolution spectroscopy from LAMOST DR5 with generative spectrum networks (GSN). This follows the same scheme as a normal artificial neural network with stellar parameters as the input and spectra as the output. The GSN model was effective in producing synthetic spectra after training on the PHOENIX theoretical spectra. In combination with Bayes framework, the application for analysis of LAMOST observed spectra exhibited improved efficiency on the distributed-computing platform, Spark. In addition, the results were examined and validated by a comparison with reference parameters from high-resolution surveys and asteroseismic results. Our results show good consistency with the results from other surveys and catalogs. Our proposed method is reliable with a precision of 80 K for T-eff, 0.14 dex for log g, 0.07 dex for [Fe/H] and 0.168 dex for [alpha/Fe], for spectra with a signal-to-noise (S/N) in g bands (S/N-g) higher than 50. The parameters estimated as a part of this work are available at. http://paperdata.china-vo.org/GSN_parameters/GSN_parameters.csv.
WOS关键词GENEVA-COPENHAGEN SURVEY ; ATMOSPHERIC PARAMETERS ; MODEL ATMOSPHERES ; SPECTROSCOPIC SURVEY ; SOLAR NEIGHBORHOOD ; STARS ; SEGUE ; GAIA ; PARAMETRIZATION ; PERFORMANCE
资助项目National Key Basic Research Program of China[2014CB845700] ; National Natural Science Foundation of China[11390371] ; National Development and Reform Commission
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:000455937400001
出版者IOP PUBLISHING LTD
资助机构National Key Basic Research Program of China ; National Key Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Development and Reform Commission ; National Development and Reform Commission ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Development and Reform Commission ; National Development and Reform Commission ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Development and Reform Commission ; National Development and Reform Commission ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Development and Reform Commission ; National Development and Reform Commission
源URL[http://ir.bao.ac.cn/handle/114a11/24703]  
专题中国科学院国家天文台
通讯作者Luo A-li
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
3.Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, Beijing 100012, Peoples R China
推荐引用方式
GB/T 7714
Wang Rui,Luo A-li,Zhang Shuo,et al. Analysis of Stellar Spectra from LAMOST DR5 with Generative Spectrum Networks[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,2019,131(996):13.
APA Wang Rui.,Luo A-li.,Zhang Shuo.,Hou Wen.,Du Bing.,...&Lu Yan.(2019).Analysis of Stellar Spectra from LAMOST DR5 with Generative Spectrum Networks.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,131(996),13.
MLA Wang Rui,et al."Analysis of Stellar Spectra from LAMOST DR5 with Generative Spectrum Networks".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC 131.996(2019):13.

入库方式: OAI收割

来源:国家天文台

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