Gyrokinetic Dynamic Fidelity Refinement

POSTER

Abstract

Gyrokinetic Dynamic Fidelity Refinement is described and demonstrated. The basic problems are familiar from AMR techniques, but there are differences. Our proposed method is pseudo-spectral in all five dimensions $(x, y, z, v_\parallel, \mu B)$. Mesh refinement occurs by changing the number of Fourier, Hermite, or Laguerre basis functions, according to a dynamic target refinement metric. Low amplitude turbulence (near marginal stability) requires relatively high resolution in Hermite-Laguerre space, but modest resolution in $k$-space. High amplitude turbulence (away from marginal stability) requires relatively low resolution in Hermite-Laguerre space, but higher resolution in $k$. Stochastic echoes limit the $v$-space resolution requirements at high amplitude. Nonlinear phase-mixing ultimately limits the required $k_\perp$ resolution, as it provides a physical hyperviscosity mechanism. Depending on the quality of the closures available at low $v$-space resolution, GKDFR should be the optimal algorithm for evaluating small $\rho_*$, electromagnetic, gyrokinetic turbulence within the TRINITY multiscale transport framework.

Authors

  • William Dorland

    • Univ of Maryland-College Park
    • University of Maryland College Park
    • University of Maryland
  • Noah Mandell

    • Princeton University
  • Matt Landreman

    • Univ of Maryland-College Park
  • Michael Martin

    • Univ of Maryland-College Park
  • Michael Nastac

    • Univ of Maryland-College Park
  • Joey Taylor

    • Univ of Maryland-College Park