Constructing a Correlation ECE Synthetic Diagnostic forGyrokinetic Simulations with Application to HSX
POSTER
Abstract
Transport driven by nonlinear, turbulent interactions of ion and electron scale fluctuations play a
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.
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.
Presenters
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Gavin W Held
University of Wisconsin - Madison
Authors
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Gavin W Held
University of Wisconsin - Madison
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Benjamin J Faber
University of Wisconsin - Madison, University of Wisconsin
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Benedikt Geiger
University of Wisconsin - Madison
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Matthijs R Wezeman
Eindhoven University of Technology, Eindhoven University of Technology, Eindhoven, The Netherlands
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M.J. Pueschel
Dutch Institute for Fundamental Energy Research
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Luquant Singh
University of Wisconsin-Madison, University of Wisconsin
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Chris C Hegna
University of Wisconsin - Madison, Type One Energy, University of Wisconsin-Madison
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Gavin M Weir
Max Planck Institute for Plasma Physics
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Michael J Gerard
University of Wisconsin - Madison