A deconvolution method based on adaptive Landweber iteration to extract LAMOST one-dimensional spectra
文献类型:期刊论文
作者 | Li, Min1,3; Li, Guangwei1![]() |
刊名 | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
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出版日期 | 2019-04-01 |
卷号 | 484期号:2页码:2403-2410 |
关键词 | instrumentation: spectrographs methods: numerical techniques: image processing techniques: spectroscopic |
ISSN号 | 0035-8711 |
DOI | 10.1093/mnras/stz133 |
英文摘要 | In this paper, we present a deconvolution algorithm based on adaptive Landweber iteration (ALI) to extract the one-dimensional ( ID) spectra from Large Sky Area Multi-Object Fiber Spectroscopy Telescope (LAMOST) multi-fibre spectrum images. The algorithm can eliminate serious crosstalk and depress the noise from two-dimensional (2D) images by using adaptively selected regularization parameters. Experiments on simulated images illustrate that 2D residuals reach CCD noise level and that the signal-to-noise (S/N) ratios of the resulting 1D spectra are higher than those from traditional methods. Application on a real LAMOST image shows that the resolutions of 1D spectra extracted from our algorithm are similar to 25 per cent higher than those extracted using the traditional method, and it is obvious that the S/N ratio is also improved. |
WOS关键词 | FIBER ; TELESCOPE |
资助项目 | National Natural Science Foundation of China (NSFC)[U1531242] ; Chinese Academy of Sciences (CAS)[U1531242] ; National Natural Science Foundation of China[11673036] ; National Development and Reform Commission |
WOS研究方向 | Astronomy & Astrophysics |
语种 | 英语 |
WOS记录号 | WOS:000462302600066 |
出版者 | OXFORD UNIV PRESS |
资助机构 | National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Development and Reform Commission ; National Development and Reform Commission ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Development and Reform Commission ; National Development and Reform Commission ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Development and Reform Commission ; National Development and Reform Commission ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; 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/114a11/25678] ![]() |
专题 | 中国科学院国家天文台 |
通讯作者 | Li, Guangwei; Lv, Ke |
作者单位 | 1.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100101, Peoples R China 2.Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Min,Li, Guangwei,Lv, Ke,et al. A deconvolution method based on adaptive Landweber iteration to extract LAMOST one-dimensional spectra[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2019,484(2):2403-2410. |
APA | Li, Min,Li, Guangwei,Lv, Ke,Duan, Fuqing,Haerken, Hasitieer,&Zhao, Yongheng.(2019).A deconvolution method based on adaptive Landweber iteration to extract LAMOST one-dimensional spectra.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,484(2),2403-2410. |
MLA | Li, Min,et al."A deconvolution method based on adaptive Landweber iteration to extract LAMOST one-dimensional spectra".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 484.2(2019):2403-2410. |
入库方式: OAI收割
来源:国家天文台
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