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Oct 2026
JESSNet: Joint dEconvolution and Sparse Separation Network for HI 21 cm foreground cleaning
This work introduces JESSNet, a beam-aware, mask-compatible foreground-cleaning framework for single-dish intensity mapping, and introduces three main extensions: a multiscale angular decomposition with scale-dependent mixing matrices and channel selection, a learned spherical-wavelet''learnlet''sparse regularization o...
A. Gkogkou, V. Bonjean, Jean-Luc Starck et al.
· Astronomy & Astrophysics · 0 citations