Simulations of reversed shear Alfvén eigenmodes in fusion plasmas: performed by gyrokinetic particle-in-cell approach

Deng, Wenjun

ISBN 10: 3659168866 / ISBN 13: 9783659168864

Edité par LAP LAMBERT Academic Publishing, 2012

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N° de réf. du vendeur ERICA79636591688666

Détails bibliographiques

• Titre: Simulations of reversed shear Alfvén eigenmodes in fusion plasmas: performed by gyrokinetic particle-in-cell approach
• Éditeur: LAP LAMBERT Academic Publishing
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 3659168866
• ISBN à 13 chiffres: 9783659168864
• Reliure: Paperback
• État de l'article: Like New
• Type de livre: book

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Synopsis

In fusion plasmas, generated from heating sources or fusion products, energetic particles can excite Alfvén eigenmodes, which undermines energetic particle confinement. To reduce or avoid this problem, behaviors of energetic particles and Alfvén eigenmodes need to be studied in detail. In this book, a nonlinear gyrokinetic simulation model, which recovers the ideal magnetohydrodynamic (MHD) theory in the linear long-wavelength regime, is formulated for studying kinetic MHD processes in magnetized plasmas. This comprehensive formulation enables gyrokinetic simulation of both pressure gradient-driven and current-driven instabilities including ideal and kinetic ballooning modes, kink modes, and shear Alfvén waves, as well as their nonlinear interactions in multi-scale simulations. Implemented in the gyrokinetic toroidal code (GTC), the new formulation is verified in simulations of reversed shear Alfvén eigenmode (RSAE). The verified model is then applied to studying the linear properties of RSAE driven by density gradient of neutral beam injected fast ions in a well-diagnosed DIII-D tokamak experiment.

À propos de l?auteur

Wenjun Deng is currently an Associate Research Physicist at Princeton Plasma Physics Laboratory. His research interests are in the area of fusion plasma modeling and large scale computer simulation. He obtained his B.S. from University of Science and Technology of China in 2006 and his Ph.D. from University of California, Irvine in 2012.