231 citations · 369 across the 9 of their papers we have counts for
9 papers
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…
Estimation of the Galaxy Quenching Rate in the Illustris Simulation
Yang Wang, Xuan Liu, Weishan Zhu +2
Quenching is a key topic in exploring the formation and evolution of galaxies. In this work, we study the quenching rate, i.e., the variation in the fraction of quenched galaxies p…
On the phase-space structure of galaxy clusters from cosmological simulations
I. Marini, A. Saro, S. Borgani +8
Cosmological N-body simulations represent an excellent tool to study the formation and evolution of dark matter (DM) halos and the mechanisms that have originated the universal pro…
Barred galaxies in the Illustris-1 and TNG100 simulations
Ze-Bang Zhou, Weishan Zhu, Yang Wang +1
We carry out a comparison study on the bar structure in the Illustris-1 and TNG100 simulations. At , 8.9\% of 1232 disc galaxies with stellar mass in Ill…
Satellite Alignment: III. Satellite Galaxies Spatial Distribution and their Dependence on Redshift with A Novel Galaxy Finder
Lin Tang, Weipeng Lin, Yang Wang
After extensively explored, broad agreement between observations and theories has been reached that satellites are preferentially aligned with major axes of their host centrals. Th…
Alignment between Satellite and Central Galaxies in the EAGLE Simulation: Dependence on the Large-Scale Environments
Mingge Zhang, Yang Wang
The alignment between satellite and central galaxies serves as a proxy for addressing the issue of galaxy formation and evolution and has been investigated abundantly in observatio…