Bayesian Imaging for Radio Interferometry with Score-Based Priors
Noe Dia M. J. Yantovski-Barth Alexandre Adam Micah Bowles Pablo Lemos Anna M. M. Scaife Yashar Hezaveh Laurence Perreault-Levasseur
The inverse imaging task in radio interferometry is a key limiting factor to
retrieving Bayesian uncertainties in radio astronomy in a computationally
effective manner. We use a score-based prior derived from optical images of
galaxies to recover images of protoplanetary disks from the DSHARP survey. We
demonstrate that our method produces plausible posterior samples despite the
misspecified galaxy prior. We show that our approach produces results which are
competitive with existing radio interferometry imaging algorithms.