Power-law tails in turbulent magnetic field PDFs arise from intermittent Poisson-distributed shocks convolved with a lognormal core, with tail asymmetry determined by the ratio of fast to slow MHD shocks.
Incorporating Ambipolar and Ohmic Diffusion in the AMR MHD code RAMSES
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
We have implemented non-ideal Magneto-Hydrodynamics (MHD) effects in the Adaptive Mesh Refinement (AMR) code RAMSES, namely ambipolar diffusion and Ohmic dissipation, as additional source terms in the ideal MHD equations. We describe in details how we have discretized these terms using the adaptive Cartesian mesh, and how the time step is diminished with respect to the ideal case, in order to perform a stable time integration. We have performed a large suite of test runs, featuring the Barenblatt diffusion test, the Ohmic diffusion test, the C-shock test and the Alfven wave test. For the latter, we have performed a careful truncation error analysis to estimate the magnitude of the numerical diffusion induced by our Godunov scheme, allowing us to estimate the spatial resolution that is required to address non-ideal MHD effects reliably. We show that our scheme is second-order accurate, and is therefore ideally suited to study non-ideal MHD effects in the context of star formation and molecular cloud dynamics.
years
2026 2representative citing papers
A Runge-Kutta-Gegenbauer super-time-stepping method for stable, efficient handling of anisotropic non-ideal MHD diffusion.
citing papers explorer
-
The dynamical origin of the magnetic field distributions in compressible turbulence
Power-law tails in turbulent magnetic field PDFs arise from intermittent Poisson-distributed shocks convolved with a lognormal core, with tail asymmetry determined by the ratio of fast to slow MHD shocks.
-
A robust super-time-stepping scheme for Ohmic and ambipolar diffusion
A Runge-Kutta-Gegenbauer super-time-stepping method for stable, efficient handling of anisotropic non-ideal MHD diffusion.