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Extracting the turbulent flow-field from beam emission spectroscopy images using velocimetry.
Kriete, D M; McKee, G R; Fonck, R J; Smith, D R; Whelan, G G; Yan, Z.
Afiliação
  • Kriete DM; Department of Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
  • McKee GR; Department of Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
  • Fonck RJ; Department of Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
  • Smith DR; Department of Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
  • Whelan GG; Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
  • Yan Z; Department of Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
Rev Sci Instrum ; 89(10): 10E107, 2018 Oct.
Article em En | MEDLINE | ID: mdl-30399767
ABSTRACT
The 2D turbulent E × B flow-field is inferred from density fluctuation images obtained with the beam emission spectroscopy diagnostic on DIII-D using the orthogonal dynamic programming velocimetry algorithm. A synthetic turbulence model is used to test the algorithm and optimize it for measuring zonal flows. Zonal flow measurements are found to require a signal-to-noise ratio above ∼10 and a zonal flow wavelength longer than ∼2 cm. Comparison between the velocimetry-estimated flow-field and the E × B flow-field using a nonlinear gyrokinetic GENE simulation finds that the flow-fields have identical spatial structure and differ only by the mean turbulence phase velocity, which is spatially uniform in this flux tube simulation.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos