21 cm Signal Recovery via Robust Principal Component Analysis

doi:10.3847/1538-3881/aaef3b

CORC > 国家天文台 > 中国科学院国家天文台

	21 cm Signal Recovery via Robust Principal Component Analysis
	Zuo, Shifan 1,2; Chen, Xuelei 1,2,3; Ansan, Reza 4,5; Lu, Youjun 1,2
刊名	ASTRONOMICAL JOURNAL
	2019
卷号	157 期号:1 页码:13
关键词	cosmology: observations methods: data analysis methods: statistical techniques: image processing
ISSN号	0004-6256
DOI	10.3847/1538-3881/aaef3b
英文摘要	The redshifted 21 cm signal from neutral hydrogen (H I) is potentially a very powerful probe for cosmology, but a difficulty in its observation is that it is much weaker than foreground radiation from the Milky Way as well as extragalactic radio sources. The foreground radiation at different frequencies, however, is coherent along one line of sight, and various methods of foreground subtraction based on this property have been proposed. In this paper, we present a new method based on robust principal component analysis (RPCA) to subtract the foreground and extract the 21 cm signal, which explicitly uses both the low-rank property of the frequency covariance matrix (i.e., frequency coherence) of the foreground and the sparsity of the frequency covariance matrix of the 21 cm signal. The low-rank property of the foreground's frequency covariance has been exploited in many previous works on foreground subtraction, but to our knowledge the sparsity of the frequency covariance of the 21 cm signal is first explored here. By exploiting both properties in the RPCA method, the frequency covariance matrix of the foreground and the 21 cm signal can be separated accurately. We then use the generalized internal linear combination method to recover the 21 cm signal from the data. Our method is applicable both to a small patch of sky with the flat-sky approximation and to a large area of sky where the sphericity has to be considered. It is also easy to extend to deal with more complex conditions such as a sky map with defects.
资助项目	NSFC[11473044] ; NSFC[1633004] ; NSFC[U1738125] ; NSFC[U1501501] ; CAS Frontier Science Key Project[QYZDJ-SSW-SLH017] ; MoST[2016YFE0100300] ; Astronomical Technology Center of NAOC ; Tianlai cylinder array
WOS关键词	REIONIZATION ; EPOCH ; SIMULATIONS ; ALGORITHMS ; COSMOLOGY ; EMISSION ; SPARSE ; PROBE ; SKY ; MAP
WOS研究方向	Astronomy & Astrophysics
语种	英语
出版者	IOP PUBLISHING LTD
WOS记录号	WOS:000453046600002
资助机构	NSFC ; NSFC ; CAS Frontier Science Key Project ; CAS Frontier Science Key Project ; MoST ; MoST ; Astronomical Technology Center of NAOC ; Astronomical Technology Center of NAOC ; Tianlai cylinder array ; Tianlai cylinder array ; NSFC ; NSFC ; CAS Frontier Science Key Project ; CAS Frontier Science Key Project ; MoST ; MoST ; Astronomical Technology Center of NAOC ; Astronomical Technology Center of NAOC ; Tianlai cylinder array ; Tianlai cylinder array ; NSFC ; NSFC ; CAS Frontier Science Key Project ; CAS Frontier Science Key Project ; MoST ; MoST ; Astronomical Technology Center of NAOC ; Astronomical Technology Center of NAOC ; Tianlai cylinder array ; Tianlai cylinder array ; NSFC ; NSFC ; CAS Frontier Science Key Project ; CAS Frontier Science Key Project ; MoST ; MoST ; Astronomical Technology Center of NAOC ; Astronomical Technology Center of NAOC ; Tianlai cylinder array ; Tianlai cylinder array
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/23870]
专题	中国科学院国家天文台
通讯作者	Chen, Xuelei
作者单位	1.Chinese Acad Sci, Natl Astron Observ, Key Lab Computat Astrophys, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China 3.Peking Univ, Ctr High Energy Phys, Beijing 100871, Peoples R China 4.Univ Paris Sud, LAL, UMR 8607, F-91898 Orsay, France 5.CNRS IN2P3, F-91405 Orsay, France
推荐引用方式 GB/T 7714	Zuo, Shifan,Chen, Xuelei,Ansan, Reza,et al. 21 cm Signal Recovery via Robust Principal Component Analysis[J]. ASTRONOMICAL JOURNAL,2019,157(1):13.
APA	Zuo, Shifan,Chen, Xuelei,Ansan, Reza,&Lu, Youjun.(2019).21 cm Signal Recovery via Robust Principal Component Analysis.ASTRONOMICAL JOURNAL,157(1),13.
MLA	Zuo, Shifan,et al."21 cm Signal Recovery via Robust Principal Component Analysis".ASTRONOMICAL JOURNAL 157.1(2019):13.