A deconvolution method based on adaptive Landweber iteration to extract LAMOST one-dimensional spectra-Reference-Cited by-同舟云学术

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A deconvolution method based on adaptive Landweber iteration to extract LAMOST one-dimensional spectra

Published:2019-01-16 Issue:2 Volume:484 Page:2403-2410
ISSN:0035-8711
Container-title:Monthly Notices of the Royal Astronomical Society
language:en
Short-container-title:

Author:

Li Min¹²,Li Guangwei²,Lv Ke¹,Duan Fuqing³,Haerken Hasitieer³²,Zhao Yongheng²

Affiliation:

1. University of Chinese Academy of Science, Beijing 100049, China

2. Key Laboratory for Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China

3. College of Information Science and Technology, Beijing Normal University, Beijing 100875, China

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

http://academic.oup.com/mnras/article-pdf/484/2/2403/27635832/stz133.pdf

Reference26 articles.

1. Extracting clean supernova spectra

2. Distant field blue horizontal branch stars and the mass of the Galaxy - I. Classification of halo A-type stars

3. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST)

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2. Slitless spectrophotometry with forward modelling: Principles and application to measuring atmospheric transmission;Astronomy & Astrophysics;2024-04

3. Analysis and Comparison of Spectral Extraction Algorithms in LAMOST;Chinese Astronomy and Astrophysics;2020-07

4. The Richardson-Lucy deconvolution method to extract LAMOST 1D spectra;Research in Astronomy and Astrophysics;2019-10

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