Paper:	Tidying after Cleaning
Volume:	535, Astronomical Data Analysis Software and Systems XXXI
Page:	343
Authors:	Bester, H. L.; Perkins, S.; Kenyon, J. S.; Smirnov, O. M.
Abstract:	The standard deconvolution algorithm in radio astronomy, i.e. CLEAN, suffers from a number of drawbacks viz. it performs poorly on naturally weighted data, requires negative flux to reach the noise floor of the observation and does not represent extended sources faithfully. However, compared to more sophisticated deconvolution algorithms, it is remarkably fast and robust against calibration artefacts and/or unknown systematics in the data. Herein we illustrate how the preconditioned forward-backward algorithmic structure can be leveraged to maintain robustness while using natural weighting and in the presence of a positivity constraint.

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