Parameterized reconstruction with random scales for radio synthesis imaging
Parameterized reconstruction with random scales for radio synthesis imaging
复制标题
用于放射合成成像的随机尺度参数化重建
DOI：
10.1051/0004-6361/202039275
复制
发表时间：
2021-02
影响因子：
6.5
通讯作者：
Li D. Y.
中科院分区：
文献类型：
--
作者：
Zhang L.;Mi L.G.;Zhang M.;Liu X.;Xu L.;Wang F.;Ruan Y. J.;Li D. Y.
Context. 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.
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影响因子：
56.9
作者：
R. M. Emberson
通讯作者：
R. M. Emberson
影响因子：
6.5
作者：
Dabbech, A.;Ferrari, C.;Kenyon, J. S.
通讯作者：
Kenyon, J. S.
DOI：
10.1007/978-3-319-44431-4
发表时间：
2017-01-01
期刊：
INTERFEROMETRY AND SYNTHESIS IN RADIO ASTRONOMY, 3RD EDITION
影响因子：
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作者：
Thompson, A. R.;Moran, J. M.;Swenson, G. W.
通讯作者：
Swenson, G. W.
DOI：
10.1111/j.1365-2966.2012.21605.x
发表时间：
2012-10-01
影响因子：
4.8
作者：
Carrillo, R. E.;McEwen, J. D.;Wiaux, Y.
通讯作者：
Wiaux, Y.
DOI：
10.1002/9783527617845
发表时间：
2016
期刊：
--
影响因子：
--
作者：
通讯作者：
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