7 citations · 16 across the 17 of their papers we have counts for
6 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…
HI Intensity Mapping cross-correlation with thermal SZ fluctuations: forecasted cosmological parameters estimation for FAST and Planck
Ayodeji Ibitoye, Furen Deng, Yichao Li +2
The 21 cm emission from neutral hydrogen surveys holds great potential as a valuable method for exploring the large-scale structure of the Universe. In this paper, we forecast for…
Photometric Redshift Estimation for CSST Survey with LSTM Neural Networks
Zhijian Luo, Yicheng Li, Junhao Lu +11
Accurate estimation of photometric redshifts (photo-s) is crucial for cosmological surveys. Various methods have been developed for this purpose, such as template fitting method…
Exploring cosmological constraints of the weak gravitational lensing and galaxy clustering joint analysis in the CSST photometric survey
Qi Xiong, Yan Gong, Xingchen Zhou +10
We explore the joint weak lensing and galaxy clustering analysis from the photometric survey operated by the China Space Station Telescope (CSST), and study the strength of the cos…
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…
Imputation of Missing Photometric Data and Photometric Redshift Estimation for CSST
Zhijian Luo, Zhirui Tang, Zhu Chen +10
Accurate photometric redshift (photo-) estimation requires support from multi-band observational data. However, in the actual process of astronomical observations and data proce…