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.
tokamaks
full-f gyrokinetics
stochastic modelling
heat flux
intermittency
Författare
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)
Vol. 57 6 art. no. 066013 - 066013Ämneskategorier
Astronomi, astrofysik och kosmologi
Fusion, plasma och rymdfysik
Fundament
Grundläggande vetenskaper
DOI
10.1088/1741-4326/aa686b