A practical preconditioner for wide-field continuum imaging of radio interferometric data

Abstract

The celebrated CLEAN algorithm has been the cornerstone of deconvolution algorithms in radio interferometry almost since its conception in the 1970s. For all its faults, CLEAN is remarkably fast, robust to calibration artefacts and in its ability to model point sources. We demonstrate how the same assumptions that afford CLEAN its speed can be used to accelerate more sophisticated deconvolution algorithms.

Fast grid to grid interpolation for radio interferometric imaging

“…where ∥v − SFx∥ 2 is the data fidelity term and R a regularizer (Giovannelli and Coulais, 2005;Thiébaut and Young, 2017;Bester et al, 2021). Algorithms used to solve this optimization problem require computing many gradients of the criterion during their iterative processes.…”