Statistical description of turbulent transport for flux driven toroidal plasmas
Artikel i vetenskaplig tidskrift, 2017

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.


full-f gyrokinetics

stochastic modelling

heat flux



Johan Anderson

Chalmers, Rymd- och geovetenskap, Plasmafysik och fusionsenergi

K. Imadera

Kyoto University

Y. Kishimoto

Kyoto University

Jianqiang Li

Southwestern Institute of Physics China

Hans Nordman

Chalmers, Rymd- och geovetenskap, Plasmafysik och fusionsenergi

Nuclear Fusion

0029-5515 (ISSN) 1741-4326 (eISSN)

Vol. 57 6 art. no. 066013 - 066013


Astronomi, astrofysik och kosmologi

Fusion, plasma och rymdfysik


Grundläggande vetenskaper



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