Benchmarking of the Gyrokinetic Microstability Codes GYRO, GS2, and GEM

POSTER

Abstract

The physics capabilities of modern gyrokinetic microstability codes are now so extensive that they cannot be verified fully for realistic tokamak plasmas using purely analytic approaches. Instead, verification (demonstrating that the codes correctly solve the gyrokinetic-Maxwell equations) must rely on benchmarking (comparing code results for identical plasmas and physics). Benchmarking exercises for a low-power DIII-D discharge at the mid-radius have been presented recently for the Eulerian codes GYRO and GS2 [R.V. Bravenec, J. Candy, M. Barnes, C. Holland, Phys. Plasmas $\textbf{18}$, 122505 (2011)]. This work omitted \textbf{E}$\times $\textbf{B }flow shear, but we include it here. We also present GYRO/GS2 comparisons for a high-power Alcator C-Mod discharge. To add further confidence to the verification exercises, we have recently added the particle-in-cell (PIC) code GEM to the efforts. We find good agreement of linear frequencies between GEM and GYRO/GS2 for the DIII-D plasma. We also present preliminary nonlinear comparisons. This benchmarking includes electromagnetic effects, plasma shaping, kinetic electrons and one impurity. In addition, we compare linear results among the three codes for the steep-gradient edge region of a DIII-D plasma between edge-localized modes.

*Supported by USDoE under grant no. DE-FG02-08ER54978

Authors

  • Ronald Bravenec

    • Fourth State Research
  • Yang Chen

    • University of Colorado, Boulder
  • Weigang Wan

    • University of Colorado, Boulder
  • Scott Parker

    • University of Colorado, Boulder
  • Jeff Candy

    • General Atomics
  • Michael Barnes

    • MIT
    • Plasma Science and Fusion Center, MIT
    • Massachusetts Institute of Technology
  • N.T. Howard

    • MIT
    • MIT-PSFC
    • MIT - Plasma Science and Fusion Center
  • Chris Holland

    • UCSD
    • University of California San Diego
    • University of California, San Diego
    • Univ. of California at San Diego
  • Eric Wang

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore National Lab
    • LLNL