Bulletin of the American Physical Society
65th Annual Meeting of the APS Division of Plasma Physics
Monday–Friday, October 30–November 3 2023; Denver, Colorado
Session JP11: Poster Session IV:
BEAMS: Laser- and beam-plasma interactions
Fundamental: Measurements and analysis in fundamental plasma physics; Plasma Sheaths, Sources, and Shocks
MFE: Turbulence and transport in fusion plasmas; High Field Tokamaks
2:00 PM - 5:00 PM
Tuesday, October 31, 2023
Room: Plaza ABC
Abstract: JP11.00089 : Constructing a Correlation ECE Synthetic Diagnostic forGyrokinetic Simulations with Application to HSX*
Presenter:
Gavin W Held
(University of Wisconsin - Madison)
Authors:
Gavin W Held
(University of Wisconsin - Madison)
Benjamin J Faber
(University of Wisconsin - Madison)
Benedikt Geiger
(University of Wisconsin - Madison)
Matthijs R Wezeman
(Eindhoven University of Technology)
M.J. Pueschel
(Dutch Institute for Fundamental Energy Research)
Luquant Singh
(University of Wisconsin-Madison)
Chris C Hegna
(Type One Energy)
Gavin M Weir
(Max Planck Institute for Plasma Physics)
Michael J Gerard
(University of Wisconsin - Madison)
critical role in determining the performance of stellarators and has not been directly addressed
in turbulence optimization. As numerical modeling and simulations are the primary method by
which turbulence optimization will be advanced, it is critical the underlying physics models be
validated through rigorous comparison of numerical simulations with experimental data.
To perform microturbulence validation, density-gradient-driven trapped electron mode (TEM)
microturbulence is studied in the HSX stellarator. Using the GENE code, nonlinear flux-tube
simulations of TEM microturbulence have been performed at experimentally relevant
parameters for HSX. A synthetic correlation ECE diagnostic has been constructed using the
spatial and temporal resolutions of the experimental diagnostic. The simulation data is mapped
from the co-rotating plasma frame to the laboratory frame and integrated over Gaussian point
spread functions centered on the diagnostic channels. These results, coupled with an
understanding of the errors in synthetic diagnostic implementation, e.g. introduced through
numerical Monte Carlo integration, provide an important basis on which a thorough validation
study will be based.
*This work is supported by the U.S. Department of Energy Grant No. DE-SC0021972.
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