25 citations · 45 across the 6 of their papers we have counts for
6 papers
The dark matter content of Milky Way dwarf spheroidal galaxies: Draco, Sextans and Ursa Minor
Hao Yang, Wenting Wang, Ling Zhu +50
The Milky Way Survey of the Dark Energy Spectroscopic Instrument (DESI) has so far observed three classical dwarf spheroidal galaxies (dSphs): Draco, Sextans and Ursa Minor. Based…
How does the velocity anisotropy of halo stars, dark matter and satellite galaxies depend on host halo properties?
Jiaxin He, Wenting Wang, Zhaozhou Li +8
We investigate the mass () and concentration () dependencies of the velocity anisotropy () profiles for different components in the dark matter halo, including…
Inferring the mass content of galaxy clusters with satellite kinematics and Jeans Anisotropic modeling
Rui Shi, Wenting Wang, Zhaozhou Li +7
Satellite galaxies can be used to indicate the dynamical mass of galaxy groups and clusters. In this study, we apply the axis-symmetric Jeans Anisotropic Multi-Gaussian Expansion J…
Dark against luminous matter around isolated central galaxies: a comparative study between modern surveys and Illustris-TNG
Pedro Alonso, Wenting Wang, Jun Zhang +6
Based on independent shear measurements using the DECaLS/DR8 imaging data, we measure the weak lensing signals around isolated central galaxies (ICGs) from SDSS/DR7 at .…
What to expect from dynamical modelling of cluster haloes II. Investigating dynamical state indicators with Random Forest
Qingyang Li, Jiaxin Han, Wenting Wang +5
We investigate the importances of various dynamical features in predicting the dynamical state (DS) of galaxy clusters, based on the Random Forest (RF) machine learning approach. W…
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…