Finite memory time and anisotropy effects for initial magnetic energy growth in random flow of conducting media
E. A. Illarionov, D. D. Sokoloff

TL;DR
This paper develops a method to calculate magnetic energy growth rates in random conducting fluids considering finite memory and anisotropy, comparing analytical and numerical results and exploring parameter regimes relevant to astrophysical plasmas.
Contribution
It introduces a regular analytical approach for growth rate calculation in anisotropic, finite-memory flows, extending previous isotropic and short-correlated models.
Findings
Analytical results agree with numerical estimates for Strouhal numbers s<0.6.
Quantitative differences increase for larger parameters.
Mirror asymmetry does not affect initial growth rates.
Abstract
The dynamo mechanism is a process of magnetic field self-excitation in a moving electrically conducting fluid. One of the most interesting applications of this mechanism related to the astrophysical systems is the case of a random motion of plasma. For the very first stage of the process, the governing dynamo equation can be reduced to a system of first order ordinary differential equations. For this case we suggest a regular method to calculate the growth rate of magnetic energy. Based on this method we calculate the growth rate for random flow with finite memory time and anisotropic statistical distribution of the stretching matrix and compare the results with corresponding ones for isotropic case and for short-correlated approximation. We find that for moderate Strouhal numbers and moderate anisotropy the analytical results reproduce the numerically estimated growth rates reasonably…
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