Multiscale CLEAN Deconvolution of Radio Synthesis Images

被引:354
作者
Cornwell, Tim J. [1 ]
机构
[1] Australia Telescope Natl Facil, Epping, NSW 1710, Australia
关键词
Deconvolution; radio astronomy; radio Interferometry;
D O I
10.1109/JSTSP.2008.2006388
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Radio synthesis imaging is dependent upon deconvolution algorithms to counteract the sparse sampling of the Fourier plane. These deconvolution algorithms find an estimate of the true sky brightness from the necessarily incomplete sampled visibility data. The most widely used radio synthesis deconvolution method is the CLEAN algorithm of Hogbom. This algorithm works extremely well for collections of point sources and surprisingly well for extended objects. However, the performance for extended objects can be improved by adopting a multiscale approach. We describe and demonstrate a conceptually simple and algorithmically straightforward extension to CLEAN that models the sky brightness by the summation of components of emission having different size scales. While previous multiscale algorithms work sequentially on decreasing scale sizes, our algorithm works simultaneously on a range of specified scales. Applications to both real and simulated data sets are given.
引用
收藏
页码:793 / 801
页数:9
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