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A Stable, Accurate Methodology for High Mach Number, Strong Magnetic Field MHD Turbulence with Adaptive Mesh Refinement: Resolution and Refinement Studies

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abstract

Performing a stable, long duration simulation of driven MHD turbulence with a high thermal Mach number and a strong initial magnetic field is a challenge to high-order Godunov ideal MHD schemes because of the difficulty in guaranteeing positivity of the density and pressure. We have implemented a robust combination of reconstruction schemes, Riemann solvers, limiters, and Constrained Transport EMF averaging schemes that can meet this challenge, and using this strategy, we have developed a new Adaptive Mesh Refinement (AMR) MHD module of the ORION2 code. We investigate the effects of AMR on several statistical properties of a turbulent ideal MHD system with a thermal Mach number of 10 and a plasma $\beta_0$ of 0.1 as initial conditions; our code is shown to be stable for simulations with higher Mach numbers ($M_rms = 17.3$) and smaller plasma beta ($\beta_0 = 0.0067$) as well. Our results show that the quality of the turbulence simulation is generally related to the volume-averaged refinement. Our AMR simulations show that the turbulent dissipation coefficient for supersonic MHD turbulence is about 0.5, in agreement with unigrid simulations.

fields

astro-ph.GA 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

Kolmogorov turbulence across multi-fractal gas in Polaris Flare

astro-ph.GA · 2026-07-01 · unverdicted · novelty 7.0

Reveals a pristine scale-invariant 3D Kolmogorov turbulence cascade in the Polaris Flare with an analytical mapping showing the apparent transition arises from projection and density fractal dimension changes.

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  • Kolmogorov turbulence across multi-fractal gas in Polaris Flare astro-ph.GA · 2026-07-01 · unverdicted · none · ref 37 · internal anchor

    Reveals a pristine scale-invariant 3D Kolmogorov turbulence cascade in the Polaris Flare with an analytical mapping showing the apparent transition arises from projection and density fractal dimension changes.