Gyrokinetic moment-based simulations of the Dimits shift

TL;DR

This paper demonstrates that the gyromoment approach efficiently simulates gyrokinetic turbulence, accurately reproduces the Dimits shift, and converges faster than traditional methods, with minimal impact from collision models.

Contribution

The paper introduces and validates a gyromoment-based simulation method that converges rapidly and accurately captures key nonlinear plasma phenomena like the Dimits shift.

Findings

GM approach converges faster than GENE in nonlinear dynamics

Increasing velocity dissipation improves convergence but slightly raises heat flux

GM accurately reproduces the Dimits shift and its width

Abstract

We present a convergence study of the gyromoment (GM) approach, which is based on projecting the gyrokinetic distribution function onto a Hermite-Laguerre polynomial basis, focused on the cyclone base case (CBC) (Lin et al. 1999) and Dimits shift (Dimits et al. 2000) as benchmarks. We report that the GM approach converges more rapidly in capturing the nonlinear dynamics of the CBC than the continuum GENE code (Jenko et al. 2000) when comparing the number of points representing the velocity space. Increasing the velocity dissipation improves the convergence properties of the GM approach, albeit yielding a slightly larger saturated heat flux. By varying the temperature equilibrium gradient, we show that GM approach successfully reproduces the Dimits shift (Dimits et al. 2000) and effectively captures its width, which is in contrast to the gyrofluid framework. In the collisional regime, the convergence properties of the GM approach improve and a good agreement with previous global PIC results on transport is obtained (Lin et al. 1999). Finally, we report that the choice of collision model has a minimal impact both on the ITG growth rate and on the nonlinear saturated heat flux, at tokamak-relevant collisionality.