An Efficient Fokker-Planck Solver and its Application to Stochastic Particle Acceleration in Galaxy Clusters
Julius Donnert (IRA), Gianfranco Brunetti (IRA)

TL;DR
This paper introduces a computationally efficient Fokker-Planck solver for modeling cosmic-ray electron spectra in galaxy clusters, enabling large-scale simulations of particle acceleration and radio emission over cosmic timescales.
Contribution
The authors develop a novel, memory-efficient Fokker-Planck solver for cosmic-ray spectra that can be integrated into large astrophysical simulations, with a focus on galaxy cluster environments.
Findings
The code accurately models relativistic electron spectra evolution.
Application to galaxy clusters demonstrates realistic radio emission predictions.
Spectral compression reduces memory use by a factor of ten.
Abstract
Particle acceleration by turbulence plays a role in many astrophysical environments. The non- linear evolution of the underlying cosmic-ray spectrum is complex and can be described by a Fokker-Planck equation, which in general has to be solved numerically. We present here an implementation to compute the evolution of a cosmic-ray spectrum coupled to turbulence considering isotropic particle pitch-angle distributions and taking into account the relevant particle energy gains and losses. Our code can be used in run time and post-processing to very large astrophysical fluid simulations. We also propose a novel method to compress cosmic- ray spectra by a factor of ten, to ease the memory demand in very large simulations. We show a number of code tests, which firmly establish the correctness of the code. In this paper we focus on relativistic electrons, but our code and methods can be easily…
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