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#machine learning Preprint Sep 2026

SIFARI: Self-Supervised Interferometric Fitting for Astronomical Radio Imaging

Radio-interferometric images are reconstructed from sparsely sampled visibilities, and CLEAN-based imaging can struggle with spatial filtering, complex morphologies, and uncertainty quantification. Alternative methods that fit visibilities directly can address some of these limitations but often require manual choices...

S. Mao, A. Isella, P. Perdikaris et al. · 0 citations

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