Energy Diffusion and Advection Coefficients in Kinetic Simulations of Relativistic Plasma Turbulence
Kai W. Wong (1), Vladimir Zhdankin (2, 3, 4), Dmitri A. Uzdensky (1, 5), Gregory R. Werner (1), Mitchell C. Begelman (1, 6) ((1) Univ. Colorado Boulder, (2) Univ.Wisconsin-Madison, (3) Center for Computational Astrophysics, Flatiron Inst., (4) Princeton Univ., (5) Univ. Oxford

TL;DR
This study uses particle-in-cell simulations to validate Fokker-Planck models of particle acceleration in relativistic plasma turbulence, measuring diffusion and advection coefficients and comparing them to theoretical predictions.
Contribution
It provides the first detailed measurement of FP energy diffusion and advection coefficients in relativistic turbulence, testing their dependence on particle energy and plasma magnetization.
Findings
Diffusion coefficient D scales as γ^2 at high energies.
D scales with magnetization as σ^{3/2} at low σ, flattening to σ.
The advection coefficient A(γ) fits the form γ log γ, matching model predictions.
Abstract
Turbulent, relativistic nonthermal plasmas are ubiquitous in high-energy astrophysical systems, as inferred from broadband nonthermal emission spectra. The underlying turbulent nonthermal particle acceleration (NTPA) processes have traditionally been modelled with a Fokker-Planck (FP) diffusion-advection equation for the particle energy distribution. We test FP-type NTPA theories by performing and analysing particle-in-cell (PIC) simulations of turbulence in collisionless relativistic pair plasma. By tracking large numbers of particles in simulations with different initial magnetisation and system size, we first test and confirm the applicability of the FP framework. We then measure the FP energy diffusion () and advection () coefficients as functions of particle energy , and compare their dependence to theoretical predictions. At high energies, we robustly find $D…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Solar and Space Plasma Dynamics · Computational Fluid Dynamics and Aerodynamics
