Stochastic Fermi Energization of Coronal Plasma during explosive magnetic energy release
Theophilos Pisokas, Loukas Vlahos, Heinz Isliker, Vassilios Tsiolis,, Anastasios Anastasiadis

TL;DR
This study models how particles in the solar corona gain energy through stochastic interactions with magnetic irregularities formed during explosive magnetic energy releases, using a 3D simulation and Fokker-Planck analysis.
Contribution
It introduces a 3D simulation framework for particle energization via Alfvénic Scatterers and estimates transport coefficients to solve the Fokker-Planck equation for energy distribution.
Findings
Particles are heated and accelerated, forming a high-energy tail.
The energy distribution depends on the particles' mean free path.
The model reproduces expected energization effects in coronal plasma.
Abstract
The aim of this study is to analyze the interaction of charged particles (ions and electrons) with randomly formed particle scatterers (e.g.\ large scale local "magnetic fluctuations" or "coherent magnetic irregularities"), using the set up proposed initially by \cite{Fermi49}. These scatterers are formed by the explosive magnetic energy release and propagate with the Alfv\'en speed along the irregular magnetic fields. They are large scale local fluctuations (), randomly distributed inside the unstable magnetic topology and will here be called {\bf Alfv\'enic Scatterers (AS)}. We constructed a 3D grid on which a small fraction of randomly chosen grid points are acting as AS. In particular, we study how a large number of test particles evolve inside a collection of AS, analyzing the evolution of their energy distribution and their escape time distribution. We use a…
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