Inference of flow shear from reciprocating plasma potential measurements by means of Gaussian process regression

DOI PDF 参考文献31件
  • T. Nishizawa
    Research Institute for Applied Mechanics, Kyushu University 1 , Kasuga 816-8580,
  • P. Manz
    Research Center for Plasma Turbulence, Kyushu University 2 , Kasuga 816-8580,
  • S. Tokuda
    Institute of Mathematics for Industry, Kyushu University, Fukuoka 4 , Fukuoka 816-8580,
  • G. Grenfell
    Max-Planck-Institut für Plasmaphysik 7 , Boltzmannstr. 2, 85748 Garching,
  • M. Sasaki
    College of Industrial Technology Nihon University 8 , Narashino 275-8575,
  • S. Inagaki
    Institute of Advanced Energy, Kyoto University 9 , Uji, Kyoto 611-0011,
  • Y. Kawachi
    Graduate School of Engineering, Nagoya University 10 , Furo-cho, Chikusa-ku, Nagoya 464-8603,
  • A. Fujisawa
    Research Institute for Applied Mechanics, Kyushu University 1 , Kasuga 816-8580,

書誌事項

公開日
2025-03-01
資源種別
journal article
DOI
  • 10.1063/5.0254473
公開者
AIP Publishing

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説明

<jats:p>Reliable estimation of equilibrium flow shear from reciprocating probe measurements is challenging since the quantity of interest corresponds to the second derivative of the observable plasma potential. In addition, a time series of the plasma potential obtained by plunging a probe is affected by both the probe head position and plasma fluctuations, complicating the estimation of equilibrium components and their errors. We tackle this problem by employing Gaussian process regression that is able to infer even the derivatives of a spatial or temporal profile in the form of a probability distribution function. The proposed inference framework is validated by using synthetic data generated by gyrofluid simulations. While the inference result based on a single plunge is unstable in certain spatial locations, we have obtained reasonable agreement between the inference result and the true flow shear profile by combining data sets taken from several plunges.</jats:p>

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