Kinematics of Simulated Galaxies I: Connecting Dynamical and Morphological Properties of Early-Type Galaxies at Different Redshifts
Felix Schulze, Rhea-Silvia Remus, Klaus Dolag, Andreas Burkert, Eric, Emsellem, Glenn van de Ven

TL;DR
This study uses cosmological simulations to analyze the kinematic and morphological evolution of early-type galaxies, confirming observed classifications and revealing how their dynamical states change over cosmic time, especially through mergers.
Contribution
It demonstrates that simulated early-type galaxies match observations in their fast and slow rotator properties and explores their evolution and classification in kinematic-morphological planes.
Findings
Simulated ETGs agree with observed fast and slow rotator fractions.
The fast-slow dichotomy is more pronounced in 3D data.
Over cosmic time, the slow rotator population increases below redshift 1.
Abstract
State-of-the-art integral field surveys like , SLUGGS, CALIFA, SAMI, and MaNGA provide large data sets of kinematical observations of early-type galaxies (ETGs), yielding constraints on the formation of ETGs. Using the cosmological hydrodynamical \textit{Magneticum Pathfinder} simulations, we investigate the paradigm of fast and slow rotating ETGs in a fully cosmological context. We show that the ETGs within the \textit{Magneticum} simulation are in remarkable agreement with the observations, revealing fast and slow rotators quantified by the angular momentum proxy and the flattening with the observed prevalence. Taking full advantage of the three-dimensional data, we demonstrate that the dichotomy between fast and slow rotating galaxies gets enhanced, showing an upper and lower population separated by an underpopulated region in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
