22 citations · 28 across the 2 of their papers we have counts for
3 papers
astro-ph.CO2023
AI-assisted reconstruction of cosmic velocity field from redshift-space spatial distribution of halos
Ziyong Wu, Liang Xiao, Xu Xiao +6
The peculiar velocities of dark matter halos are crucial to study many issues in cosmology and galaxy evolution. In this study, by using the state-of-the-art deep learning techniqu…
astro-ph.CO2021★ 22 cited
Cosmic Velocity Field Reconstruction Using AI
Ziyong Wu, Zhenyu Zhang, Shuyang Pan +6
We develop a deep learning technique to infer the non-linear velocity field from the dark matter density field. The deep learning architecture we use is an "U-net" style convolutio…
astro-ph.CO2019★ 6 cited
Cosmological constraints from the redshift dependence of the Alcock-Paczynski effect: Fourier space analysis
Xiaolin Luo, Ziyong Wu, Xiao-Dong Li +3
The tomographic Alcock-Paczynski (AP) method utilizes the redshift evolution of the AP distortion to place constraints on cosmological parameters. It has proved to be a robust meth…