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Parameterized reconstruction with random scales for radio synthesis imaging

文献类型：期刊论文

作者Zhang, L.1; Mi, L. G.1; Zhang, M.2,3; Liu, X.2,3; Xu, L.4; Wang, F.5; Ruan, Y. J.1; Li, D. Y.1
刊名ASTRONOMY & ASTROPHYSICS
出版日期2021-02-04
卷号646页码:A44
关键词methods: data analysis techniques: image processing
ISSN号0004-6361
DOI10.1051/0004-6361/202039275
产权排序2
英文摘要Context. In radio interferometry, incomplete sampling results in a dirty beam with side lobes, which obscures the celestial structures. Before the astrophysical analysis, the effects of the dirty beam need to be eliminated, which can be solved with various deconvolution methods.Aims. Diffuse astronomical sources observed by modern high-sensitivity telescopes tend to be complex morphological structures, often accompanied by faint features, which are submerged under the side lobes of the dirty beam. We propose a new deconvolution algorithm called random multiscale estimator (RMS-Clean), which is mainly used to solve the difficult reconstruction of diffuse astronomical sources.Methods. RMS-Clean models the sky brightness distribution as a linear combination of random multiscale basis functions whose scales are obtained by randomly perturbing a preset multiscale list. Random multiscale models are used to approximate the uncertain characteristics of the scales of complex astronomical sources.Results. When the RMS-Clean method is applied to simulations of SKA observations with realistic diffuse structures, it can reconstruct diffuse structures well and provides a competitive result compared to the commonly used deconvolution algorithms.
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WOS关键词DECONVOLUTION ; ALGORITHM
资助项目National Natural Science Foundation of China[11963003] ; National Natural Science Foundation of China[61572461] ; National Natural Science Foundation of China[11790305] ; National Natural Science Foundation of China[U1831204] ; National SKA Program of China[2020SKA0110300] ; National Key R&D Program of China[2018YFA0404602] ; National Key R&D Program of China[2018YFA0404603] ; Guizhou Science & Technology Plan Project[[2017]5788] ; Youth Science & Technology Talents Development Project of Guizhou Education Department[[2018]119] ; Youth Science & Technology Talents Development Project of Guizhou Education Department[[2018]433]] ; Guizhou University Talent Research Fund[(2018)60] ; Guizhou University Talent Research Fund[2017-XBQNXZ-A-008]
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:000617329400001
出版者EDP SCIENCES S A
资助机构National Natural Science Foundation of China ; National SKA Program of China ; National Key R&D Program of China ; Guizhou Science & Technology Plan Project ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund
源URL[http://ir.xao.ac.cn/handle/45760611-7/3943]  
专题星系宇宙学研究团组
通讯作者Zhang, L.
作者单位1.Guizhou Univ, Coll Big Data & Informat Engn, Guiyang 550025, Peoples R China
2.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China
3.Chinese Acad Sci, Key Lab Radio Astron, Urumqi 830011, Peoples R China
4.Chinese Acad Sci, Natl Astron Observ, Key Lab Solar Act, Beijing 100101, Peoples R China
5.Guangzhou Univ, Ctr Astrophys, Guangzhou 510006, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, L.,Mi, L. G.,Zhang, M.,et al. Parameterized reconstruction with random scales for radio synthesis imaging[J]. ASTRONOMY & ASTROPHYSICS,2021,646:A44.
APA Zhang, L..,Mi, L. G..,Zhang, M..,Liu, X..,Xu, L..,...&Li, D. Y..(2021).Parameterized reconstruction with random scales for radio synthesis imaging.ASTRONOMY & ASTROPHYSICS,646,A44.
MLA Zhang, L.,et al."Parameterized reconstruction with random scales for radio synthesis imaging".ASTRONOMY & ASTROPHYSICS 646(2021):A44.

入库方式： OAI收割

来源：新疆天文台

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