Separating the EoR signal with a convolutional denoising autoencoder: a deep-learning-based method

Abstract 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 sourc...

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Bibliographic Details

Published in:	Monthly notices of the Royal Astronomical Society Vol. 485; no. 2; pp. 2628 - 2637
Main Authors:	Li, Weitian, Xu, Haiguang, Ma, Zhixian, Zhu, Ruimin, Hu, Dan, Zhu, Zhenghao, Gu, Junhua, Shan, Chenxi, Zhu, Jie, Wu, Xiang-Ping
Format:	Journal Article
Language:	English
Published:	Oxford University Press 11.05.2019
Subjects:	radio continuum: general methods: data analysis techniques: interferometric dark ages, reionization, first stars
ISSN:	0035-8711, 1365-2966
Online Access:	Get full text
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