Unifying the dynamical classification of early-type galaxies: kinematic deficits in IllustrisTNG versus observations
Wenyu Zhong, Min Du, Shengdong Lu, Yunpeng Jin, and Kai Zhu

TL;DR
This study compares galaxy kinematics in IllustrisTNG simulations with observations, revealing discrepancies in rotational properties and proposing revised classification thresholds to better distinguish galaxy types.
Contribution
It introduces new kinematic thresholds and a method to estimate halo mass from integral-field spectroscopy, improving galaxy classification accuracy.
Findings
Simulations lack a clear bimodal distribution of galaxy rotation.
Revised thresholds better classify galaxies into fast and slow rotators.
A new method estimates halo mass from kinematic data.
Abstract
We conduct a comparative analysis of galaxy kinematics using IllustrisTNG simulations and integral-field spectroscopy (IFS) observations. We identify 2,342 early-type galaxies (ETGs) from the TNG100 simulation and 236 ETGs from the TNG50 simulation, comparing them with observations from MaNGA and ATLAS. For these systems, we measure key kinematic parameters: the intrinsic spin parameter (measured edge-on), the cylindrical rotational energy fraction , and structural mass ratios including the spheroid mass fraction and stellar halo mass fraction . Our study reveals that standard classifiers--the relation and coefficient (higher-order Fourier term of velocity fields)--fail to align with observed kinematic bimodality. We propose…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
