Separating the EoR signal with a convolutional denoising autoencoder: a deep-learning-based method
Separating the EoR signal with a convolutional denoising autoencoder: a deep-learning-based method
When applying the foreground removal methods to uncover the faint cosmological signal from the epoch of reionization (EoR), the foreground spectra are assumed to be smooth. However, this assumption can be seriously violated in practice since the unresolved or mis-subtracted foreground sources, which are further complicated by the frequency-dependent beam …