Statistical Analysis of Stochastic Magnetic Fields
Amir Jafari, Ethan Vishniac, Vignesh Vaikundaraman

TL;DR
This paper introduces a statistical framework for analyzing magnetic field stochasticity in turbulence, predicts its relationship with energy density, and verifies these predictions through numerical MHD simulations, linking stochasticity to magnetic reconnection.
Contribution
It presents a novel statistical analysis method for magnetic stochasticity, predicts its correlation with energy density, and demonstrates these relationships numerically in MHD turbulence.
Findings
Global stochasticity-energy relationship observed in simulations
Maxima of stochasticity coincide with minima of energy density
Magnetic stochasticity peaks are linked to reconnection events
Abstract
Previous work has introduced scale-split energy density \psi for a given vector field B in order to quantify the field stochasticity S(t). Application to turbulent magnetic fields leads to the prediction that tangling magnetic field by turbulence increases magnetic stochasticity. An increasing stochasticity in turn leads to disalignments of the coarse-grained fields at smaller scales thus they average to weaker fields at larger scales upon coarse-graining. The field's resistance against tanglement by the turbulence may lead at some point to its sudden slippage through the fluid, decreasing the stochasticity and increasing the energy density. Thus the maxima (minima) of magnetic stochasticity are expected to approximately coincide with the minima (maxima) of energy density, occurrence of which corresponds to slippage of the magnetic field through the fluid. Field-fluid slippage, on the…
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