17 citations · 49 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
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…
Probing the cosmic web in Ly emission over large scales: an Intensity Mapping forecast for DECaLS/BASS and DESI
Pablo Renard, Daniele Spinoso, Zechang Sun +3
Being the most prominent HI line, Ly permeates the cosmic web in emission. Despite its potential as a cosmological probe, its detection on large scales remains elusive. We prese…
CSST large-scale structure analysis pipeline: I. constructing reference mock galaxy redshift surveys
Yizhou Gu, Xiaohu Yang, Jiaxin Han +29
In this paper, we set out to construct a set of reference mock galaxy redshift surveys (MGRSs) for the future Chinese Space-station Survey Telescope (CSST) observation, where subse…
CSST Large-scale Structure Analysis Pipeline: II. the CSST Emulator for Slitless Spectroscopy (CESS)
Run Wen, Xian Zhong Zheng, Yunkun Han +9
The Chinese Space Station Telescope (CSST) slitless spectroscopic survey will observe objects to a limiting magnitude of ~ 23 mag (5, point sources) in U, V, and I over 17500 de…