Dynamic Procedure for Filtered Gyrokinetic Simulations

TL;DR

This paper introduces a dynamic LES procedure for gyrokinetic plasma turbulence simulations that adaptively optimizes model parameters, achieving results comparable to high-resolution DNS while reducing computational costs.

Contribution

A novel dynamic LES method implemented in GENE that automatically tunes dissipation parameters, improving efficiency and accuracy in gyrokinetic turbulence modeling.

Findings

Successfully recovers spectra from DNS

Reduces computational cost significantly

Adapts to different turbulence parameters

Abstract

Large Eddy Simulations (LES) of gyrokinetic plasma turbulence are investigated as interesting candidates to decrease the computational cost. A dynamic procedure is implemented in the GENE code, allowing for dynamic optimization of the free parameters of the LES models (setting the amplitudes of dissipative terms). Employing such LES methods, one recovers the free energy and heat flux spectra obtained from highly resolved Direct Numerical Simulations (DNS). Systematic comparisons are performed for different values of the temperature gradient and magnetic shear, parameters which are of prime importance in Ion Temperature Gradient (ITG) driven turbulence. Moreover, the degree of anisotropy of the problem, that can vary with parameters, can be adapted dynamically by the method that shows Gyrokinetic Large Eddy Simulation (GyroLES) to be a serious candidate to reduce numerical cost of gyrokinetic solvers.