Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model

arXiv:2402.10204v1 Announce Type: cross
Abstract: Reconstructing sky models from dirty radio images for accurate source localization and flux estimation is crucial for studying galaxy evolution at high redshift, especially in deep fields using instruments like the Atacama Large Millimetre Array (ALMA). With new projects like the Square Kilometre Array (SKA), there's a growing need for better source extraction methods. Current techniques, such as CLEAN and PyBDSF, often fail to detect faint sources, highlighting the need for more accurate methods. This …

abstract array arxiv astro-ph.im cs.ai cs.cv denoising diffusion diffusion model evolution fields galaxy image images localization projects radio redshift square studying type