NAOC Open IR
Parameterized reconstruction with random scales for radio synthesis imaging
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
2021-02-04
Source PublicationASTRONOMY & ASTROPHYSICS
ISSN0004-6361
Volume646Pages:6
AbstractContext. 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.
Keywordmethods: data analysis techniques: image processing
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National SKA Program of China ; National SKA Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Guizhou Science & Technology Plan Project ; Guizhou Science & Technology Plan Project ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund ; Guizhou University Talent Research Fund ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National SKA Program of China ; National SKA Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Guizhou Science & Technology Plan Project ; Guizhou Science & Technology Plan Project ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund ; Guizhou University Talent Research Fund ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National SKA Program of China ; National SKA Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Guizhou Science & Technology Plan Project ; Guizhou Science & Technology Plan Project ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund ; Guizhou University Talent Research Fund ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National SKA Program of China ; National SKA Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Guizhou Science & Technology Plan Project ; Guizhou Science & Technology Plan Project ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund ; Guizhou University Talent Research Fund
DOI10.1051/0004-6361/202039275
WOS KeywordDECONVOLUTION ; ALGORITHM
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National SKA Program of China ; National SKA Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Guizhou Science & Technology Plan Project ; Guizhou Science & Technology Plan Project ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund ; Guizhou University Talent Research Fund ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National SKA Program of China ; National SKA Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Guizhou Science & Technology Plan Project ; Guizhou Science & Technology Plan Project ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund ; Guizhou University Talent Research Fund ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National SKA Program of China ; National SKA Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Guizhou Science & Technology Plan Project ; Guizhou Science & Technology Plan Project ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund ; Guizhou University Talent Research Fund ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National SKA Program of China ; National SKA Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Guizhou Science & Technology Plan Project ; Guizhou Science & Technology Plan Project ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund ; Guizhou University Talent Research Fund
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000617329400001
PublisherEDP SCIENCES S A
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/78801
Collection中国科学院国家天文台
Corresponding AuthorZhang, L.
Affiliation1.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
Recommended Citation
GB/T 7714
Zhang, L.,Mi, L. G.,Zhang, M.,et al. Parameterized reconstruction with random scales for radio synthesis imaging[J]. ASTRONOMY & ASTROPHYSICS,2021,646:6.
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,646,6.
MLA Zhang, L.,et al."Parameterized reconstruction with random scales for radio synthesis imaging".ASTRONOMY & ASTROPHYSICS 646(2021):6.
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