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JESSNet: Joint dEconvolution and Sparse Separation Network for HI 21 cm foreground cleaning
Foreground cleaning is a major challenge for H\,{\sc i} 21 cm intensity mapping, particularly in the presence of a chromatic instrumental beam that couples angular foreground structure into the frequency direction and under incomplete sky coverage. We introduce JESSNet, a beam-aware, mask-compatible
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