37 citations · 165 across the 11 of their papers we have counts for
6 papers · 1 filter
MaNGA DynPop -- VI. Matter density slopes from dynamical models of 6000 galaxies versus cosmological simulations: the interplay between baryonic and dark matter
Shubo Li, Ran Li, Kai Zhu +5
We try to understand the trends in the mass density slopes as a function of galaxy properties. We use the results from the best Jeans Anisotropic Modelling (JAM) of the integral-fi…
Assessing Mass Loss and Stellar-to-Halo Mass Ratio of Satellite Galaxies: A Galaxy-Galaxy Lensing Approach Utilizing DECaLS DR8 Data
Chunxiang Wang, Ran Li, Huanyuan Shan +9
The galaxy-galaxy lensing technique allows us to measure the subhalo mass of satellite galaxies, studying their mass loss and evolution within galaxy clusters and providing direct…
MaNGA DynPop -- IV. Stacked total density profile of galaxy groups and clusters from combining dynamical models of integral-field stellar kinematics and galaxy-galaxy lensing
Chunxiang Wang, Ran Li, Kai Zhu +9
We present the measurement of total and stellar/dark matter decomposed mass density profile around a sample of galaxy groups and clusters with dynamical masses derived from integra…
ALMA [N ıı] 205 μm Imaging Spectroscopy of the Lensed Submillimeter galaxy ID 141 at redshift 4.24
Cheng Cheng, Xiaoyue Cao, Nanyao Lu +17
We present the Atacama Large Millimeter/submillimeter Array (ALMA) observation of the Sub-millimeter galaxy (SMG) ID 141 at z=4.24 in the [N II] 205 m line (hereafter [N II]) an…
SDSS--IV MaNGA : The Inner Density Slopes of nearby galaxies
Ran Li, Hongyu Li, Shi Shao +12
We derive the mass weighted total density slopes within the effective (half-light) radius, , for more than 2000 nearby galaxies from the SDSS-IV MaNGA survey using Jeans-anisot…
Dark-matter-deficient galaxies in hydrodynamical simulations
Yingjie Jing, Chunxiang Wang, Ran Li +4
Low mass galaxies are expected to be dark matter dominated even within their centrals. Recently two observations reported two dwarf galaxies in group environment with very little d…