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The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy
Amir Aghabiglou, Chung San Chu, Arwa Dabbech +1
Radio-interferometric (RI) imaging entails solving high-resolution high-dynamic range inverse problems from large data volumes. Recent image reconstruction techniques grounded in o…
Cygnus A jointly calibrated and imaged via non-convex optimisation from VLA data
Arwa Dabbech, Audrey Repetti, Rick A. Perley +2
Radio interferometric (RI) data are noisy under-sampled spatial Fourier components of the unknown radio sky affected by direction-dependent antenna gains. Failure to model these an…
Robust dimensionality reduction for interferometric imaging of Cygnus A
S. Vijay Kartik, Arwa Dabbech, Jean-Philippe Thiran +1
Extremely high data rates expected in next-generation radio interferometers necessitate a fast and robust way to process measurements in a big data context. Dimensionality reductio…