Non-Maxwellian fast particle effects in gyrokinetic GENE simulations
A. Di Siena, T. G\"orler, H. Doerk, R. Bilato, J. Citrin, T. Johnson,, M. Schneider, E. Poli, JET Contributors

TL;DR
This paper investigates the effects of non-Maxwellian fast particle distributions on plasma turbulence suppression in gyrokinetic simulations, revealing that realistic distributions slightly reduce stabilization but enhance experimental agreement.
Contribution
The study extends the GENE code to incorporate arbitrary background distributions, enabling more accurate modeling of fast ions in gyrokinetic simulations.
Findings
Realistic fast ion distributions slightly weaken turbulence suppression.
Inclusion of non-Maxwellian distributions improves power balance agreement with experiments.
Fast ion effects remain significant even with realistic distributions.
Abstract
Fast ions have recently been found to significantly impact and partially suppress plasma turbulence both in experimental and numerical studies in a number of scenarios. Understanding the underlying physics and identifying the range of their beneficial effect is an essential task for future fusion reactors, where highly energetic ions are generated through fusion reactions and external heating schemes. However, in many of the gyrokinetic codes fast ions are, for simplicity, treated as equivalent-Maxwellian-distributed particle species, although it is well known that to rigorously model highly non-thermalised particles, a non-Maxwellian background distribution function is needed. To study the impact of this assumption, the gyrokinetic code GENE has recently been extended to support arbitrary background distribution functions which might be either analytic, e.g. slowing down and…
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