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Non-Maxwellian fast particle effects in gyrokinetic GENE simulations
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2018 (English)In: Physics of Plasmas, ISSN 1070-664X, E-ISSN 1089-7674, Vol. 25, no 4, article id 042304Article in journal (Refereed) Published
Abstract [en]

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 analytical, e.g., slowing down and bi-Maxwellian, or obtained from numerical fast ion models. A particular JET plasma with strong fast-ion related turbulence suppression is revised with these new code capabilities both with linear and nonlinear gyrokinetic simulations. It appears that the fast ion stabilization tends to be less strong but still substantial with more realistic distributions, and this improves the quantitative power balance agreement with experiments. 

Place, publisher, year, edition, pages
American Institute of Physics Inc. , 2018. Vol. 25, no 4, article id 042304
Keywords [en]
Codes (symbols), Fighter aircraft, Genes, Ions, Plasma turbulence, Beneficial effects, Distributed particles, Experimental and numerical studies, External heating, Gyrokinetic codes, Gyrokinetic simulations, Highly energetic ions, Turbulence suppression, Distribution functions
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-227349DOI: 10.1063/1.5020122ISI: 000431142200022Scopus ID: 2-s2.0-85045196300OAI: oai:DiVA.org:kth-227349DiVA, id: diva2:1212931
Note

Export Date: 9 May 2018; Article; CODEN: PHPAE. QC 20180604

Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2018-06-04Bibliographically approved

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