One dimensional reduced model for ITER relevant energetic particle transport
Nakia Carlevaro, Guo Meng, Giovanni Montani, Fulvio Zonca, Thomas, Hayward-Schneider, Philipp Lauber, Zhixin Lu, Xin Wang

TL;DR
This paper develops a one-dimensional model to simulate energetic particle transport in ITER, capturing non-linear effects like avalanches and improving upon traditional diffusive models.
Contribution
A novel mapping technique translating 3D fast ion dynamics into a 1D bump-on-tail system, enabling accurate non-linear predictions relevant for ITER.
Findings
The 1D model reproduces key features of non-linear hybrid simulations.
Deviations from quasi-linear models are attributed to avalanche processes.
The approach highlights critical aspects for predicting fluxes in tokamaks.
Abstract
We set up a mapping procedure able to translate the evolution of the radial profile of fast ions, interacting with Toroidal Alfv\'en Eigenmodes, into the dynamics of an equivalent one dimensional bump-on-tail system. We apply this mapping technique to reproduce ITER relevant simulations, which clearly outlined deviations from the diffusive quasi-linear (QL) model. Our analysis demonstrates the capability of the one-dimensional beam-plasma dynamics to predict the relevant features of the non-linear hybrid LIGKA/HAGIS simulations. In particular, we clearly identify how the deviation from the QL evolutive profiles is due to the presence of avalanche processes. A detailed analysis regarding the reduced dimensionality is also addressed, by means of phase-space slicing based on constants of motion. In the conclusions, we outline the main criticalities and outcomes of the procedure, which must…
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