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A new synthetic correlation electron cyclotron emission diagnostic for validating nonlinear gyrokinetic simulations of electron temperature turbulence.
Wang, G; Rhodes, T L; Howard, N T; Peebles, W A.
Afiliação
  • Wang G; Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA.
  • Rhodes TL; Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA.
  • Howard NT; MIT - Plasma Science and Fusion Center, Cambridge, Massachusetts 02139, USA.
  • Peebles WA; Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA.
Rev Sci Instrum ; 95(8)2024 Aug 01.
Article em En | MEDLINE | ID: mdl-39109900
ABSTRACT
To validate nonlinear gyrokinetic simulations of electron temperature turbulence, the experimental correlation electron cyclotron emission (CECE) measurements are to be compared using a synthetic CECE diagnostic, which generates modeled CECE measurement quantities by implementing realistic measurement parameters (e.g., spatial and wavenumber resolutions, radial location, etc.) to nonlinear gyrokinetic simulations. In this work, we calculate the radial and vertical spatial and wavenumber transfer functions, which are defined by the electron cyclotron emission emissivity radial profile and vertical probing antenna pattern, respectively. These transfer functions are applied to nonlinear gyrokinetic simulations of electron temperature turbulence using the continuum gyrokinetic code. A simultaneous comparison of the experimental electron temperature turbulence power spectrum and root-mean-square (RMS) level, as well as the radial correlation length with the new synthetic CECE diagnostic at a core location ρ ∼ 0.75 in an L-mode DIII-D tokamak plasma, is presented. The preliminary result shows that the synthetic CECE output underestimates the RMS level by ∼42% and overestimates the radial correlation length by ∼40%.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article