Statistical description of turbulent transport for flux driven toroidal plasmas
Journal article, 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.

tokamaks

full-f gyrokinetics

stochastic modelling

heat flux

intermittency

Author

Johan Anderson

Chalmers, Earth and Space Sciences, Plasma Physics and Fusion Energy

K. Imadera

Kyoto University

Y. Kishimoto

Kyoto University

Jianqiang Li

Southwestern Institute of Physics China

Hans Nordman

Chalmers, Earth and Space Sciences, Plasma Physics and Fusion Energy

Nuclear Fusion

0029-5515 (ISSN)

Vol. 57 6 art. no. 066013 - 066013

Subject Categories

Astronomy, Astrophysics and Cosmology

Fusion, Plasma and Space Physics

Roots

Basic sciences

DOI

10.1088/1741-4326/aa686b

More information

Latest update

3/5/2018 8