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Statistical descrip...
Statistical description of turbulent transport for flux driven toroidal plasmas
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- Anderson, Johan, 1973 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Imadera, K. (author)
- Kyoto University
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- Kishimoto, Y. (author)
- Kyoto University
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- Li, Jianqiang, 1983 (author)
- Southwestern Institute of Physics China
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- Nordman, Hans, 1957 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2017-04-19
- 2017
- English.
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In: Nuclear Fusion. - : IOP Publishing. - 1741-4326 .- 0029-5515. ; 57:6, s. art. no. 066013 -
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Abstract
Subject headings
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- A novel methodology to analyze non-Gaussian probability distribution functions (PDFs) of intermittent turbulent transport in global full-f gyrokinetic simulations is presented. In this work, the auto-regressive integrated moving average (ARIMA) model is applied to time series data of intermittent turbulent heat transport to separate noise and oscillatory trends, allowing for the extraction of non-Gaussian features of the PDFs. It was shown that non-Gaussian tails of the PDFs from first principles based gyrokinetic simulations agree with an analytical estimation based on a two fluid model.
Subject headings
- NATURVETENSKAP -- Fysik -- Astronomi, astrofysik och kosmologi (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Astronomy, Astrophysics and Cosmology (hsv//eng)
- NATURVETENSKAP -- Fysik -- Fusion, plasma och rymdfysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Fusion, Plasma and Space Physics (hsv//eng)
Keyword
- tokamaks
- full-f gyrokinetics
- stochastic modelling
- heat flux
- intermittency
Publication and Content Type
- art (subject category)
- ref (subject category)
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