Scalable Precision Imaging in Radio Astronomy: from Learned denoisers on GPU to Science (SPIRALS)

The ambitious science goals in radio astronomy for the next decades have triggered the development of a new generation of telescopes targeting imaging the sky with much higher precision (i.e. resolution and sensitivity) than current instruments. Endowing these telescopes with their expected acute vision requires image formation algorithms capable…