Bayesian Imaging for Radio Interferometry with Score-Based Priors
This addresses computational limitations in retrieving Bayesian uncertainties for radio astronomy, though it appears incremental as it builds on prior methods with a new prior.
The paper tackled the inverse imaging problem in radio interferometry by using a score-based prior derived from optical galaxy images to recover protoplanetary disk images from the DSHARP survey, demonstrating competitive results with existing algorithms and plausible posterior samples despite the misspecified prior.
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.