Adaptive Mesh Refinement Simulations of Galaxy Formation: Exploring Numerical and Physical Parameters
Cameron Hummels, Greg Bryan

TL;DR
This study uses adaptive mesh refinement simulations to explore galaxy formation, focusing on how different physical and numerical parameters affect the development of disk galaxies and their rotation curves.
Contribution
It systematically investigates the impact of various simulation parameters, especially cooling suppression and feedback, on galaxy morphology and rotation curves in cosmological simulations.
Findings
Cooling suppression and feedback reduce the central peak of rotation curves.
Most parameters tested do not significantly alter the spheroidal component.
Standard models without feedback produce centrally peaked rotation curves.
Abstract
We carry out adaptive mesh refinement (AMR) cosmological simulations of Milky-Way mass halos in order to investigate the formation of disk-like galaxies in a {\Lambda}-dominated Cold Dark Matter model. We evolve a suite of five halos to z = 0 and find gaseous-disk formation in all; however, in agreement with previous SPH simulations (that did not include a subgrid feedback model), the rotation curves of all halos are centrally peaked due to a massive spheroidal component. Our standard model includes radiative cooling and star formation, but no feedback. We further investigate this angular momentum problem by systematically modifying various simulation parameters including: (i) spatial resolution, ranging from 1700 to 212 pc; (ii) an additional pressure component to ensure that the Jeans length is always resolved; (iii) low star formation efficiency, going down to 0.1%; (iv) fixed…
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