Deconvolution with hybrid parameterizations for radio emission reconstruction
文献类型：期刊论文
| 作者 | Zhang, Li5 ; Xu, Long4; Mi, Li-Gong5; Zhang, Ming2,3; Liu, Xiang2,3; Wang, Feng1; Ruan, Yun-Jun5; Li, Dan-Yang5
|
| 刊名 | Research in Astronomy and Astrophysics
 |
| 出版日期 | 2021-05-01 |
| 卷号 | 21期号:4页码:101 |
| 关键词 | methods data analysis techniques image processing techniques interferometric clean deconvolution algorithm Astronomy & Astrophysics |
| ISSN号 | 1674-4527 |
| DOI | 10.1088/1674-4527/21/4/101 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| CSCD记录号 | CSCD:6959609 |
| WOS记录号 | WOS:000657384500001 |
| 源URL | [http://ir.xao.ac.cn/handle/45760611-7/4726]  |
| 专题 | 星系宇宙学研究团组 |
| 通讯作者 | Zhang, Li |
| 作者单位 | 1.Center for Astrophysics, Guangzhou University, Guangzhou 510006, China 2.Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Urumqi 830011, China; 3.Xinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China; 4.Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China; 5.College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China; |
| 推荐引用方式 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. |
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