NAOC Open IR
Adaptive scale model reconstruction for radio synthesis imaging
Zhang, Li1; Mi, Li-Gong1; Xu, Long2; Zhang, Ming3,4; Li, Dan-Yang1; Liu, Xiang3,4; Wang, Feng5; Xiao, Yi-Fan1; Zhong-Zu Wu6
2021-04-01
Source PublicationRESEARCH IN ASTRONOMY AND ASTROPHYSICS
ISSN1674-4527
Volume21Issue:3Pages:11
AbstractA sky model from CLEAN deconvolution is a particularly effective high dynamic range reconstruction in radio astronomy, which can effectively model the sky and remove the sidelobes of the point spread function (PSF) caused by incomplete sampling in the spatial frequency domain. Compared to scale-free and multi-scale sky models, adaptive-scale sky modeling, which can model both compact and diffuse features, has been proven to have better sky modeling capabilities in narrowband simulated data, especially for large-scale features in high-sensitivity observations which are exactly one of the challenges of data processing for the Square Kilometre Array (SKA). However, adaptive scale CLEAN algorithms have not been verified by real observation data and allow negative components in the model. In this paper, we propose an adaptive scale model algorithm with non-negative constraint and wideband imaging capacities, and it is applied to simulated SKA data and real observation data from the Karl G. Jansky Very Large Array (JVLA), an SKA precursor. Experiments show that the new algorithm can reconstruct more physical models with rich details. This work is a step forward for future SKA image reconstruction and developing SKA imaging pipelines.
Keywordmethods data analysis techniques image processing techniques interferometric
Funding OrganizationNational Key R&D Program of China ; National Key R&D Program of China ; National SKA Program of China ; National SKA Program of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; 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 Key R&D Program of China ; National Key R&D Program of China ; National SKA Program of China ; National SKA Program of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; 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 Key R&D Program of China ; National Key R&D Program of China ; National SKA Program of China ; National SKA Program of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; 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 Key R&D Program of China ; National Key R&D Program of China ; National SKA Program of China ; National SKA Program of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; 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
DOI10.1088/1674-4527/21/3/63
WOS KeywordCLEAN DECONVOLUTION ; EFFICIENT IMPLEMENTATION ; ALGORITHM
Language英语
Funding ProjectNational Key R&D Program of China[2018YFA0404602] ; National Key R&D Program of China[2018YFA0404603] ; National SKA Program of China[2020SKA0110300] ; National Natural Science Foundation of China (NSFC)[11963003] ; National Natural Science Foundation of China (NSFC)[11763002] ; National Natural Science Foundation of China (NSFC)[61572461] ; National Natural Science Foundation of China (NSFC)[11790305] ; National Natural Science Foundation of China (NSFC)[U1831204] ; National Natural Science Foundation of China (NSFC)[U1931141] ; National Natural Science Foundation of China (NSFC)[11961141001] ; National Natural Science Foundation of China (NSFC)[11903009] ; Guizhou Science & Technology Plan Project[[2017]5788] ; Guizhou Science & Technology Plan Project[[2017]5781] ; Youth Science & Technology Talents Development Project of Guizhou Education Department[KY[2018]119] ; Youth Science & Technology Talents Development Project of Guizhou Education Department[[2018]433] ; Guizhou University Talent Research Fund[(2018)60]
Funding OrganizationNational Key R&D Program of China ; National Key R&D Program of China ; National SKA Program of China ; National SKA Program of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; 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 Key R&D Program of China ; National Key R&D Program of China ; National SKA Program of China ; National SKA Program of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; 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 Key R&D Program of China ; National Key R&D Program of China ; National SKA Program of China ; National SKA Program of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; 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 Key R&D Program of China ; National Key R&D Program of China ; National SKA Program of China ; National SKA Program of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; 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:000657374600001
PublisherNATL ASTRONOMICAL OBSERVATORIES, CHIN ACAD SCIENCES
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/77021
Collection中国科学院国家天文台
Corresponding AuthorZhang, Li
Affiliation1.Guizhou Univ, Coll Big Data & Informat Engn, Guiyang 550025, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, Key Lab Solar Act, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China
4.Chinese Acad Sci, Key Lab Radio Astron, Urumqi 830011, Peoples R China
5.Guangzhou Univ, Ctr Astrophys, Guangzhou 510006, Peoples R China
6.Guizhou Univ, Coll Phys, Guiyang 550025, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Li,Mi, Li-Gong,Xu, Long,et al. Adaptive scale model reconstruction for radio synthesis imaging[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2021,21(3):11.
APA Zhang, Li.,Mi, Li-Gong.,Xu, Long.,Zhang, Ming.,Li, Dan-Yang.,...&Zhong-Zu Wu.(2021).Adaptive scale model reconstruction for radio synthesis imaging.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,21(3),11.
MLA Zhang, Li,et al."Adaptive scale model reconstruction for radio synthesis imaging".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 21.3(2021):11.
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