PreprintCC BY-NC-ND 4.0HAL
The new Toroidal Accelerated PArticle Simulator (TAPAS) for the study of energetic particle instabilities in fusion plasmas
Abstract
A new GPU-accelerated hybrid code is presented for the analysis of energetic-particle-driven modes and transport and losses of particles. Its acceleration capabilities and excellent scaling of GPU partitions allow for integration of a large number of numerical particles, making it possible to simulate the full-orbit and full-F dynamics of the energetic particle population. The standard ITPA and the NLED AUG benchmarks are presented and the code is applied for the first time to a recent DT JET discharge, providing insight into the linear excitation and nonlinear saturation of the observed modes in the presence of realistic distribution functions.
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BibTeX
@misc{zarzoso2026toroidal,
title = {{The new Toroidal Accelerated PArticle Simulator (TAPAS) for the study of energetic particle instabilities in fusion plasmas}},
author = {D. Zarzoso and L. Garcia and J. Varela and D. Peng},
howpublished = {HAL},
year = {2026},
month = oct,
url = {https://hal.science/hal-05783929v1},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - The new Toroidal Accelerated PArticle Simulator (TAPAS) for the study of energetic particle instabilities in fusion plasmas
AU - D. Zarzoso
AU - L. Garcia
AU - J. Varela
AU - D. Peng
PY - 2026
DA - 2026/10/07
PB - HAL
UR - https://hal.science/hal-05783929v1
AB - A new GPU-accelerated hybrid code is presented for the analysis of energetic-particle-driven modes and transport and losses of particles. Its acceleration capabilities and excellent scaling of GPU partitions allow for integration of a large number of numerical particles, making it possible to simulate the full-orbit and full-F dynamics of the energetic particle population. The standard ITPA and the NLED AUG benchmarks are presented and the code is applied for the first time to a recent DT JET discharge, providing insight into the linear excitation and nonlinear saturation of the observed modes in the presence of realistic distribution functions.
ER -