AI RESEARCH
Improving Radio Interferometry Imaging by Explicitly Modeling Cross-Domain Consistency in Reconstruction
arXiv CS.CV
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ArXi:2604.16794v1 Announce Type: new Radio astronomy plays a crucial role in understanding the universe, particularly within the realm of non-thermal astrophysics. Images of celestial objects are derived from the signals (called visibility) measured by radio telescopes. Such imaging results, called dirty images, contain artifacts due to factors such as sparsity and therefore require reconstruction to improve imaging quality. Existing methods typically restrict reconstruction to a unimodal domain, either to the dirty image after imaging or to the sparse visibility prior to imaging.