7 citations · 16 across the 5 of their papers we have counts for
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astro-ph.GA2024★ 7 cited
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
Xingchen Zhou, Nan Li, Hu Zou +6
We present a catalogue of photometric redshifts for galaxies from DESI Legacy Imaging Surveys, which includes billion sources covering 14,000 . The photomet…
astro-ph.CO2024★ 6 cited
Accurately Estimating Redshifts from CSST Slitless Spectroscopic Survey using Deep Learning
Xingchen Zhou, Yan Gong, Xin Zhang +10
Chinese Space Station Telescope (CSST) has the capability to conduct slitless spectroscopic survey simultaneously with photometric survey. The spectroscopic survey will measure sli…