English

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

Instrumentation and Methods for Astrophysics 2015-06-03 v1 Computational Physics Fluid Dynamics

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 β0\beta_0 of 0.1 as initial conditions; our code is shown to be stable for simulations with higher Mach numbers (Mrms=17.3M_rms = 17.3) and smaller plasma beta (β0=0.0067\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.

Keywords

Cite

@article{arxiv.1111.2784,
  title  = {A Stable, Accurate Methodology for High Mach Number, Strong Magnetic Field MHD Turbulence with Adaptive Mesh Refinement: Resolution and Refinement Studies},
  author = {Pak Shing Li and Daniel F. Martin and Richard I. Klein and Christopher F. McKee},
  journal= {arXiv preprint arXiv:1111.2784},
  year   = {2015}
}

Comments

22 pages, 13 figures, accepted by ApJ