Perpendicular Ion Heating by Reduced Magnetohydrodynamic Turbulence
Qian Xia, Jean C. Perez, Benjamin D. G. Chandran, Eliot Quataert

TL;DR
This study tests a theoretical model of stochastic ion heating by simulating test particles in RMHD turbulence, confirming the model's accuracy and exploring how turbulence properties influence heating efficiency.
Contribution
The paper provides numerical validation of the stochastic ion heating formula in RMHD turbulence and investigates how turbulence parameters affect heating rates and constants.
Findings
Heating rates match the theoretical formula well.
Stronger stochastic heating occurs in strong RMHD turbulence.
Constants c_1 and c_2 vary with turbulence properties and ion speeds.
Abstract
Recent theoretical studies argue that the rate of stochastic ion heating in low-frequency Alfv\'en-wave turbulence is given by , where is the rms turbulent velocity at the scale of the ion gyroradius , , is the perpendicular ion thermal speed, and and are dimensionless constants. We test this theoretical result by numerically simulating test particles interacting with strong reduced magnetohydrodynamic (RMHD) turbulence. The heating rates in our simulations are well fit by this formula. The best-fit values of are . The best-fit values of decrease (i.e., stochastic heating becomes more effective) as the grid size and Reynolds number of the RMHD simulations increase. As an example, in a RMHD simulation with a…
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