Quantifying the intrinsic variability due to randomness of the Auriga galaxy formation model
Ruediger Pakmor, Rebekka Bieri, Francesca Fragkoudi, Facundo A. Gomez, Robert J. J. Grand, Christine M. Simpson, Rosie Y. Talbot, Freeke van de Voort, Maria Werhahn

TL;DR
This study assesses the intrinsic variability of galaxy formation simulations using the Auriga model, revealing that stochastic effects cause some properties to vary significantly while others remain stable, and that resolution impacts results more than stochasticity.
Contribution
It provides the first systematic quantification of the intrinsic stochastic variability in high-resolution galaxy formation simulations.
Findings
Global properties vary less than 10% across realizations.
Star formation rate can differ by a factor of two.
Resolution changes have a larger systematic impact than stochastic variability.
Abstract
Numerical simulations have become an indispensable tool in astrophysics. To interpret their results, it is critical to understand their intrinsic variability, that is, how much the results change with numerical noise or inherent stochasticity of the physics model. We present a set of seven realisations of high-resolution cosmological zoom-in simulations of a Milky Way-like galaxy with the Auriga galaxy formation model. All realisations share the same initial conditions and code parameters, but draw different random numbers for the inherently stochastic parts of the model. We show that global galaxy properties at , including stellar mass, star formation history, masses of stellar bulge and stellar disc, the radius and height of the stellar disk change by less than between the different realisations, and that magnetic field structures in the disc and the halo are very similar.…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Scientific Research and Discoveries
