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This Multi-scale CLEAN algorithm has also been designed to improve the performance of CLEAN for extended sources. It is a straightforward extension of CLEAN that models the sky brightness not only by point sources, but also by Gaussian of different (user-selected) sizes. It is equivalent to simultaneously deconvolve images obtained with different synthesized beams derived from the highest resolution one by Gaussian convolution kernels. This algorithms works simultaneously in a range of specified scales. The GCLEAN command uses the GAUSS CLEAN method and can use up to 5 different scales (specified in CLEAN_SCALES array, with values in arcseconds). It produces good images even with a loop gain of 0.5.
On average, GCLEAN requires significantly less components than HOGBOM or CLARK, recovers more flux in total, but is somewhat slower because of the need of simultaneous deconvolution at different scales.