Spectrally Accelerated Edge and Scrape-Off Layer Gyrokinetic Turbulence Simulations
B. J. Frei, P. Ulbl, J. Trilaksono, F. Jenko

TL;DR
This paper introduces a spectral velocity-space approach in gyrokinetic simulations of edge and scrape-off layer turbulence, significantly reducing computational costs while maintaining accuracy, thus enabling more efficient high-fidelity plasma turbulence modeling.
Contribution
The paper develops and implements a novel spectral formulation in the GENE-X code, achieving at least a tenfold reduction in computational cost for edge turbulence simulations.
Findings
Spectral approach reproduces key turbulence profiles with high accuracy.
Achieves approximately 50x speed-up compared to grid-based methods.
Enables high-fidelity simulations within days on modern supercomputers.
Abstract
This paper presents the first gyrokinetic (GK) simulations of edge and scrape-off layer (SOL) turbulence accelerated by a velocity-space spectral approach in the full-f GK code GENE-X. Building upon the original grid velocity-space discretization, we derive and implement a new spectral formulation and verify the numerical implementation using the method of manufactured solution. We conduct a series of spectral turbulence simulations focusing on the TCV-X21 reference case [Oliveira D. S. et al., Nucl. Fusion 62, 096001 (2022)] and compare these results with previously validated grid simulations [Ulbl P. et al., Phys. Plasmas 30, 107986 (2023)]. The spectral approach reproduces the outboard midplane (OMP) profiles (density, temperature, and radial electric field), dominated by trapped electron mode (TEM) turbulence, with excellent agreement and significantly lower velocity-space…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMagnetic confinement fusion research · Ionosphere and magnetosphere dynamics
