Nonlinear closures for scale separation in supersonic magnetohydrodynamic turbulence
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Grete, Philipp
Vlaykov, Dimitar G
Schmidt, Wolfram
Schleicher, Dominik R G
Federrath, Christoph
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IOP Publishing
Abstract
Turbulence in compressible plasma plays a key role in many areas of astrophysics and engineering.
The extreme plasma parameters in these environments, e.g. high Reynolds numbers, supersonic and
super-Alfvenic flows, however, make direct numerical simulations computationally intractable even
for the simplest treatment—magnetohydrodynamics (MHD). To overcome this problem one can use
subgrid-scale (SGS) closures—models for the influence of unresolved, subgrid-scales on the resolved
ones. In this work we propose and validate a set of constant coefficient closures for the resolved, compressible,
ideal MHD equations. The SGS energies are modeled by Smagorinsky-like equilibrium closures.
The turbulent stresses and the electromotive force (EMF) are described by expressions that are
nonlinear in terms of large scale velocity and magnetic field gradients. To verify the closures we conduct
a priori tests over 137 simulation snapshots from two different codes with varying ratios of thermal
to magnetic pressure (β = 0.25, 1, 2.5, 5, 25 p ) and sonic Mach numbers (Ms = 2, 2.5, 4).
Furthermore, we make a comparison to traditional, phenomenological eddy-viscosity andα − −β γ
closures. We find only mediocre performance of the kinetic eddy-viscosity andα − −β γ closures,
and that the magnetic eddy-viscosity closure is poorly correlated with the simulation data. Moreover,
three of five coefficients of the traditional closures exhibit a significant spread in values. In contrast,
our new closures demonstrate consistently high correlations and constant coefficient values over time
and over the wide range of parameters tested. Important aspects in compressible MHD turbulence
such as the bi-directional energy cascade, turbulent magnetic pressure and proper alignment of the
EMF are well described by our new closures.
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New Journal of Physics