96 citations · 382 across the 17 of their papers we have counts for
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astro-ph.GA2021★ 10 cited
A machine learning approach to infer the accreted stellar mass fractions of central galaxies in the TNG100 simulation
Rui Shi, Wenting Wang, Zhaozhou Li +5
We propose a random forest (RF) machine learning approach to determine the accreted stellar mass fractions () of central galaxies, based on various dark matter halo…
astro-ph.GA2021★ 19 cited
What to expect from dynamical modelling of cluster haloes I. The information content of different dynamical tracers
Qingyang Li, Jiaxin Han, Wenting Wang +3
Using hydrodynamical simulations, we study how well the underlying gravitational potential of a galaxy cluster can be modelled dynamically with different types of tracers. In order…