29 citations · 125 across the 26 of their papers we have counts for
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astro-ph.CO2022★ 8 cited
Foreground Removal of CO Intensity Mapping Using Deep Learning
Xingchen Zhou, Yan Gong, Furen Deng +3
Line intensity mapping (LIM) is a promising probe to study star formation, the large-scale structure of the Universe, and the epoch of reionization (EoR). Since carbon monoxide (CO…
astro-ph.CO2022★ 20 cited
Photometric redshift estimates using Bayesian neural networks in the CSST survey
Xingchen Zhou, Yan Gong, Xian-Min Meng +5
Galaxy photometric redshift (photo-) is crucial in cosmological studies, such as weak gravitational lensing and galaxy angular clustering measurements. In this work, we try to e…