Institutional Repository of Radio Astronomy Research Laboratory
| Deconvolution with hybrid parameterizations for radio emission reconstruction | |
Zhang, Li1 ; Xu, Long2; Mi, Li-Gong1; Zhang, Ming3,4; Liu, Xiang3,4; Wang, Feng5; Ruan, Yun-Jun1; Li, Dan-Yang1
| |
| 2021-05-01 | |
| Source Publication | Research in Astronomy and Astrophysics
 |
| ISSN | 1674-4527 |
| Volume | 21Issue:4Pages:101 |
| Contribution Rank | 3 |
| Abstract | Deconvolution is used to eliminate imperfections in the point spread function, such as sidelobes caused by incomplete sampling of radio telescopes, and is a key technology for radio synthesis imaging. Modern telescopes have such high sensitivities that the observed celestial images may contain both compact and diffuse emission. This essentially requires deconvolution technology to have the ability to model both. In this paper, a deconvolution algorithm based on hybrid parameterization is proposed for the rapid reconstruction of complex celestial structures. In this algorithm, scale-free parameterization is utilized to reconstruct compact emission, while multi-scale parameterization is employed to reconstruct diffuse emission. Simulated data representing Square Kilometre Array (SKA) observations with realistic celestial brightness distributions are applied to test the performance of the algorithm. Our experiments show that, compared with other state-of-the-art deconvolution algorithms, the algorithm proposed in this paper can reconstruct complex celestial structures well and provide competitive reconstruction results while greatly improving the reconstruction speed. |
| Keyword | methods data analysis techniques image processing techniques interferometric clean deconvolution algorithm Astronomy & Astrophysics |
| Subtype | Article |
| DOI | 10.1088/1674-4527/21/4/101 |
| URL | 查看原文 |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:000657384500001 |
| CSCD ID | CSCD:6959609 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/4726 |
| Collection | 射电天文研究室_星系宇宙学研究团组 |
| Corresponding Author | Zhang, Li |
| Affiliation | 1.College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China; 2.Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China; 3.Xinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China; 4.Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Urumqi 830011, China; 5.Center for Astrophysics, Guangzhou University, Guangzhou 510006, China |
| Recommended Citation GB/T 7714 | Zhang, Li,Xu, Long,Mi, Li-Gong,et al. Deconvolution with hybrid parameterizations for radio emission reconstruction[J]. Research in Astronomy and Astrophysics,2021,21(4):101. |
| APA | Zhang, Li.,Xu, Long.,Mi, Li-Gong.,Zhang, Ming.,Liu, Xiang.,...&Li, Dan-Yang.(2021).Deconvolution with hybrid parameterizations for radio emission reconstruction.Research in Astronomy and Astrophysics,21(4),101. |
| MLA | Zhang, Li,et al."Deconvolution with hybrid parameterizations for radio emission reconstruction".Research in Astronomy and Astrophysics 21.4(2021):101. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Zhang-2021-Deconvolu（31017KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment