Stochastic 2-D Models of Galaxy Disk Evolution. The Galaxy M33
Tadas Mineikis (1, 2), Vladas Vansevi\v{c}ius (1, 2) ((1) Center, for Physical Sciences, Technology, Lithuania, (2) Vilnius University, Observatory, Lithuania)
TL;DR
This paper introduces a fast 2-D numerical model for galaxy disk evolution, capable of reproducing observed radial profiles of galaxy M33 by simulating stochastic star formation processes.
Contribution
It presents a novel 2-D model that incorporates stochastic self-propagating star formation to accurately simulate galaxy disk evolution.
Findings
Model successfully reproduces gas surface density profiles.
Model matches surface brightness in multiple passbands.
Model accurately predicts metallicity distribution.
Abstract
We have developed a fast numerical 2-D model of galaxy disk evolution (resolved along the galaxy radius and azimuth) by adopting a scheme of parameterized stochastic self-propagating star formation. We explore the parameter space of the model and demonstrate its capability to reproduce 1-D radial profiles of the galaxy M33: gas surface density, surface brightness in the i and GALEX FUV passbands, and metallicity.
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