NAOC Open IR
Estimating Atmospheric Parameters of DA White Dwarf Stars with Deep Learning
Yang,Yong1,2; Zhao,Jingkun1; Zhang,Jiajun1,2; Ye,Xianhao1,2; Zhao,Gang1,2
2020-10-29
Source PublicationThe Astronomical Journal
ISSN0004-6256
Volume160Issue:5
AbstractAbstract The determination of atmospheric parameters of white dwarf stars (WDs) is crucial for researches on them. Traditional methodology is to fit the model spectra to observed absorption lines and report the parameters with the lowest χ2 error, which strongly relies on theoretical models that are not always publicly accessible. In this work, we construct a deep learning network to model-independently estimate and log g of DA stars (DAs), corresponding to WDs with hydrogen-dominated atmospheres. The network is directly trained and tested on the normalized flux pixels of full optical wavelength range of DAs spectroscopically confirmed in the Sloan Digital Sky Survey. Experiments in test yield that the rms error for and log g approaches 900 K and 0.1 dex, respectively. This technique is applicable for those DAs with from 5000 to 40,000 K and log g from 7.0 to 9.0 dex. Furthermore, the applicability of this method is verified for the spectra with degraded resolution of ~200. So it is also practical for the analysis of DAs that will be detected by the Chinese Space Station Telescope.
KeywordDA stars Spectroscopy Astronomy data analysis
DOI10.3847/1538-3881/abbdaa
Language英语
WOS IDIOP:0004-6256-160-5-abbdaa
PublisherThe American Astronomical Society
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/61597
Collection中国科学院国家天文台
Corresponding AuthorZhao,Jingkun
Affiliation1.Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China zjk@bao.ac.cn
2.School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Corresponding Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yang,Yong,Zhao,Jingkun,Zhang,Jiajun,et al. Estimating Atmospheric Parameters of DA White Dwarf Stars with Deep Learning[J]. The Astronomical Journal,2020,160(5).
APA Yang,Yong,Zhao,Jingkun,Zhang,Jiajun,Ye,Xianhao,&Zhao,Gang.(2020).Estimating Atmospheric Parameters of DA White Dwarf Stars with Deep Learning.The Astronomical Journal,160(5).
MLA Yang,Yong,et al."Estimating Atmospheric Parameters of DA White Dwarf Stars with Deep Learning".The Astronomical Journal 160.5(2020).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang,Yong]'s Articles
[Zhao,Jingkun]'s Articles
[Zhang,Jiajun]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang,Yong]'s Articles
[Zhao,Jingkun]'s Articles
[Zhang,Jiajun]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang,Yong]'s Articles
[Zhao,Jingkun]'s Articles
[Zhang,Jiajun]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.