Institutional Repository of Radio Astronomy Research Laboratory
| Adaptive-scale wide-field reconstruction for radio synthesis imaging | |
Zhang, L.1,2; Mi, L. G.1; Zhang, M.3,4 ; Liu, X.3,4; He, C. L.2
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| 2020-08-14 | |
| Source Publication | ASTRONOMY & ASTROPHYSICS
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| ISSN | 0004-6361 |
| Volume | 640Pages:A80 |
| Contribution Rank | 3 |
| Abstract | Sky curvature and non-coplanar effects, caused by low frequencies, long baselines, or small apertures in wide field-of-view instruments such as the Square Kilometre Array (SKA), significantly limit the imaging performance of an interferometric array. High dynamic range imaging essentially requires both an excellent sky model and the correction of imaging factors such as non-coplanar effects. New CLEAN deconvolution with adaptive-scale modeling already has the ability to construct significantly better narrow-band sky models. However, the application of wide-field observations based on modern arrays has not yet been jointly explored. We present a new wide-field imager that can model the sky on an adaptive-scale basis, and the sky curvature and the effects of non-coplanar observations with the w-projection method. The degradation caused by the dirty beam due to incomplete spatial frequency sampling is eliminated during sky model construction by our new method, while the w-projection mainly removes distortion of sources far from the image phase center. Applying our imager to simulated SKA data and the real observation data of the Karl G. Jansky Very Large Array (an SKA pathfinder) suggested that our imager can handle the effects of wide-field observations well and can reconstruct more accurate images. This provides a route for high dynamic range imaging of SKA wide-field observations, which is an important step forward in the development of the SKA imaging pipeline. |
| Keyword | methods: data analysis techniques: image processing |
| DOI | 10.1051/0004-6361/202038153 |
| URL | 查看原文 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Keyword | IMPLEMENTATION ; DECONVOLUTION |
| Funding Project | National Key R&D Program of China[2018YFA0404602] ; National Natural Science Foundation of China (NSFC)[11963003] ; Guizhou Science & Technology Plan Project (Platform Talent)[[2017]5788] ; 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] ; Light of West China Programme[2017-XBQNXZ-A-008] |
| WOS Research Area | Astronomy & Astrophysics |
| WOS Subject | Astronomy & Astrophysics |
| WOS ID | WOS:000562774000005 |
| Publisher | EDP SCIENCES S A |
| Funding Organization | National Key R&D Program of China ; National Natural Science Foundation of China (NSFC) ; Guizhou Science & Technology Plan Project (Platform Talent) ; Youth Science & Technology Talents Development Project of Guizhou Education Department ; Guizhou University Talent Research Fund ; Light of West China Programme |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/3630 |
| Collection | 射电天文研究室_星系宇宙学研究团组 |
| Corresponding Author | Zhang, L. |
| Affiliation | 1.Guizhou Univ, Coll Big Data & Informat Engn, Guiyang 550025, Peoples R China 2.China West Normal Univ, Comp Sch, Nanchong 637002, Sichuan, 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 |
| Recommended Citation GB/T 7714 | Zhang, L.,Mi, L. G.,Zhang, M.,et al. Adaptive-scale wide-field reconstruction for radio synthesis imaging[J]. ASTRONOMY & ASTROPHYSICS,2020,640:A80. |
| APA | Zhang, L.,Mi, L. G.,Zhang, M.,Liu, X.,&He, C. L..(2020).Adaptive-scale wide-field reconstruction for radio synthesis imaging.ASTRONOMY & ASTROPHYSICS,640,A80. |
| MLA | Zhang, L.,et al."Adaptive-scale wide-field reconstruction for radio synthesis imaging".ASTRONOMY & ASTROPHYSICS 640(2020):A80. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Zhang-2020-Adaptive-（1223KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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