Journal of Jishou University(Natural Sciences Edition)

• Astronomy • Previous Articles     Next Articles

Improved Deconvolution Algorithm for Radio Interferometric Images

ZHANG Li, MI Ligong, XIAO Yifan, YANG Jianghe, LI Guicheng, WEI Xingqi,  NING Nawen, LI Danyang, HE Chunlin   

  1. (1.College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China; 2.College of Physics and Electronics, Qiannan Normal College for Minorities, Duyun 558000, Guizhou China; 3.Computer School, China West Normal University, Nanchong 637002, Sichuan China; 4. College of Mathematics and Physics, Changde 415000, Hunan China)
  • Online:2020-07-25 Published:2020-10-27


A new reconstruction algorithm is proposed to resolve the problem of deconvolution of the point spread function during the imaging process. The algorithm is based on the decomposition of Gaussian function model, which can solve the problems from delta function model and can reconstruct extended sources and point-like sources well. The algorithm is tested with a simulated observation with VLA and compared with another 2 algorithms. The results indicate that the improved algorithm can effectively balance computational complexity and performances, make more accurate modeling of the image, and shows superior image reconstruction performances.

Key words: synthetic aperture imaging, image reconstruction algorithm, CLEAN algorithm, common astronomy software applications (CASA)

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