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Fused CLEAN deconvolution for compact and diffuse emission by L. Zhang is a Physics and Astronomy article available to read on EtoBox.

What is Fused CLEAN deconvolution for compact and diffuse emission about?

Context. CLEAN algorithms are excellent deconvolution solvers that remove the sidelobes of the dirty beam to clean the dirty image. From the point of view of the scale, there are two types: scale-insensitive CLEAN algorithms, and scale-sensitive CLEAN algorithms. Scale-insensitive CLEAN algorithms perform excellently well for compact emission and perform poorly for diffuse emission, while scale-sensitive CLEAN algorithms are good for both point-like emission and diffuse emission but are often computationally expensive. However, observed images often contain both compact and diffuse emission. An algorithm that can simultaneously process compact and diffuse emission well is therefore required. Aims. We propose a new deconvolution algorithm by combining a scale-insensitive CLEAN algorithm and a scale-sensitive CLEAN algorithm. The new algorithm combines the advantages of scale-insensitive algorithms for compact emission and scale-sensitive algorithms for diffuse emission. At the same time, it avoids the poor performance of scale-insensitive algorithms for diffuse emission and the great computational load of scale-sensitive algorithms for compact emission in residuals. Methods. We prop

Who reads Fused CLEAN deconvolution for compact and diffuse emission?

It is typically read by researchers, students, and practitioners in Physics and Astronomy.

Author
L. Zhang
Publisher
EDP Sciences (ISSN 0004-6361)
Published
2018
Language
EN
Field
Physics and Astronomy (Physical Sciences)

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