Self-supervised component separation for the extragalactic submillimetre sky
We use a new approach based on self-supervised deep learning networks originally applied to transparency separation in order to simultaneously extract the components of the extragalactic submillimeter sky, namely the cosmic microwave background (CMB), the cosmic infrared background (CIB), and the Sunyaev-Zeldovich (SZ) effect. In this proof-of
Bonjean, V. et al.
Fecha de publicación:
6
2024