
TL;DR
This paper introduces and compares anisotropic eddy viscosity and metal mixing models in Lagrangian astrophysical simulations, demonstrating their effectiveness in reproducing turbulence and affecting galaxy evolution and metal distribution.
Contribution
First implementation of anisotropic eddy viscosity and metal mixing models with a dynamic parameter in Lagrangian astrophysics simulations, including calibration for convergence.
Findings
Anisotropic model best reproduces Kolmogorov inertial range scaling.
All models significantly influence galaxy evolution and metal enrichment.
Constant-coefficient models perform comparably to dynamic variants, offering computational efficiency.
Abstract
All hydrodynamical simulations of turbulent astrophysical phenomena require sub-grid scale models to properly treat energy dissipation and metal mixing. We present the first implementation and application of an anisotropic eddy viscosity and metal mixing model in Lagrangian astrophysical simulations, including a dynamic procedure for the model parameter. We compare these two models directly to the common Smagorinsky and dynamic variant. Using the mesh-free finite mass method as an example, we show that the anisotropic model is best able to reproduce the proper Kolmogorov inertial range scaling in homogeneous, isotropic turbulence. Additionally, we provide a method to calibrate the metal mixing rate that ensures numerical convergence. In our first application to cosmological simulations, we find that all models strongly impact the early evolution of galaxies leading to differences in…
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