306 citations · 532 across the 10 of their papers we have counts for
4 papers · 1 filter
Extracting Photometric Redshift from Galaxy Flux and Image Data using Neural Networks in the CSST Survey
Xingchen Zhou, Yan Gong, Xian-Min Meng +6
The accuracy of galaxy photometric redshift (photo-) can significantly affect the analysis of weak gravitational lensing measurements, especially for future high-precision surve…
Calibrating photometric redshift measurements with the Multi-channel Imager (MCI) of the China Space Station Telescope (CSST)
Ye Cao, Yan Gong, Zhen-Ya Zheng +1
The China Space Station Telescope (CSST) photometric survey aims to perform a high spatial resolution (~0.15'') photometric imaging for the targets that cover a large sky area (~17…
Anisotropies of Cosmic Optical and Near-IR Background from China Space Station Telescope (CSST)
Ye Cao, Yan Gong, Dezi Liu +3
Anisotropies of the cosmic optical background (COB) and cosmic near-IR background (CNIRB) are capable of addressing some of the key questions in cosmology and astrophysics. In this…
Spectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS)
Xingchen Zhou, Yan Gong, Xian-Min Meng +6
The estimation of spectroscopic and photometric redshifts (spec-z and photo-z) is crucial for future cosmological surveys. It can directly affect several powerful measurements of t…