Transport and losses of energetic particles in tokamaks in the presence of Alfvén activity using the new full orbit TAPaS code coupled to FAR3d

  • H. Betar
  • , D. Zarzoso
  • , J. Varela
  • , D. Del-Castillo-Negrete
  • , L. Garcia
  • , X. Du

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Recent developments and tools integrated into the TAPaS code are presented, enabling realistic scenario simulations of particle dynamics within experimental tokamak magnetic equilibria. In particular, the enhanced capabilities of TAPaS enable seamless coupling with external simulations, provided the metric and equilibrium magnetic field of the external code are known. Coupling TAPaS with the gyro-fluid code FAR3d, the transport and losses of energetic particles in the presence Alfvén eigenmodes (AEs) in DIII-D plasma discharge # 159243 were investigated. Detailed analyses of prompt losses with and without collisions were performed. Then, further analysis was performed in the presence of electromagnetic perturbations resulting from AEs activity. The results indicate that, for the energies and the initial conditions considered here, the presence of AEs enhances the particle losses.

Original languageEnglish
Article number126014
JournalNuclear Fusion
Volume64
Issue number12
DOIs
StatePublished - Dec 2024

Funding

The authors want to thank W.W. Heidbrink, M. A. Van Zeeland, D. Spong, and D. Del Sarto for useful discussions. This work has received financial support from the AIM4EP Project (ANR-21-CE30-0018), funded by the French National Research Agency (ANR), from the Comunidad de Madrid under the Project 2019-T1/AMB-13648, and from the Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the US Department of Energy under Contract No. DE-AC05-00OR22725. TAPaS simulations were performed on HPC resources of IDRIS under the allocations 2021-A0100512455, 2022-AD010512455R1 and 2023-A0140514165 made by GENCI. TAPaS development, optimization and deployment on GPU accelerator were done within the framework of an advanced support program funded by IDRIS and GENCI.

Keywords

  • Alfven eigenmodes
  • Tokamak
  • computational plasma physics
  • energetic particles

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