203 citations · 667 across the 31 of their papers we have counts for
21 papers · 1 filter
Implications of the Stellar Mass Density of High- Massive Galaxies from JWST on Warm Dark Matter
Hengjie Lin, Yan Gong, Bin Yue +1
A significant excess of the stellar mass density at high redshift has been discovered from the early data release of James Webb Space Telescope (), and it may require a…
Cross-Correlation Forecast of CSST Spectroscopic Galaxy and MeerKAT Neutral Hydrogen Intensity Mapping Surveys
Yuer Jiang, Yan Gong, Meng Zhang +6
Cross-correlating the data of neutral hydrogen (HI) 21cm intensity mapping with galaxy surveys is an effective method to extract astrophysical and cosmological information. In this…
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…
Fuzzy Dark Matter as a Solution to Reconcile the Stellar Mass Density of High-z Massive Galaxies and Reionization History
Yan Gong, Bin Yue, Ye Cao +1
The JWST early release data show unexpected high stellar mass densities of massive galaxies at , a high star formation efficiency is probably needed to explain this. Howeve…
Forecasting the Cross-Correlation of the CSST galaxy survey with the FAST HI Intensity Map
Furen Deng, Yan Gong, Yougang Wang +3
The cross-correlation of optical galaxies with the neutral hydrogen (HI) radiation intensity can enhance the signal-to-noise ratio (SNR) of the HI intensity measurement. In this pa…
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…