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arXiv · 1706.03639

Statistical description of turbulent transport for flux driven toroidal plasmas

J. Anderson·K. Imadera·Y. Kishimoto·J. Q. Li·H. Nordman
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Abstract

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.

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J. Anderson, K. Imadera, Y. Kishimoto, J. Q. Li, H. Nordman. 2017-06-09. Statistical description of turbulent transport for flux driven toroidal plasmas. https://doi.org/10.1088/1741-4326%2Faa686b

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