We propose a new approach within the versatile framework of convex optimization to solve
the radio-interferometric wideband imaging problem. Our approach, dubbed HyperSARA …

Data dimensionality reduction in radio interferometry can provide savings of computational
resources for image reconstruction through reduced memory footprints and lighter …

Upcoming radio interferometers are aiming to image the sky at new levels of resolution and
sensitivity, with wide-band image cubes reaching close to the petabyte scale for SKA …

Context. Radio astronomy is currently thriving with new large ground-based radio
telescopes coming online in preparation for the upcoming Square Kilometre Array (SKA) …

Context. The large aperture arrays for the currently under construction SKA Observatory
(SKAO) will allow for observations of the universe in the radio spectrum at unprecedented …

Context. Two main classes of imaging algorithms have emerged in radio interferometry: the
CLEAN algorithm and its multiple variants, and compressed-sensing inspired methods. They …

Aims: We address two issues for the adoption of convex optimization in radio interferometric
imaging. First, a method for a fine resolution setup is proposed which scales naturally in …

Upcoming radio interferometers are aiming to image the sky at new levels of resolution and
sensitivity, with wide-band image cubes reaching close to the Petabyte scale for SKA …

Deconvolution of native radio interferometric images constitutes a major computational
component of the imaging process. An efficient and robust deconvolution operation is …

With millions of receivers leading to TerraByte data cubes, the story of the giant SKA
telescope is also that of collaborative efforts from radioastronomy, signal processing …