A CNN trained on needlet-filtered Planck-like simulations recovers CMB temperature maps with lower foreground residuals than NILC and power spectra accurate to ell about 1100.
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Deep Needlet: A CNN based full sky component separation method in Needlet space
A CNN trained on needlet-filtered Planck-like simulations recovers CMB temperature maps with lower foreground residuals than NILC and power spectra accurate to ell about 1100.