Statistical description of turbulent transport for flux driven toroidal plasmas
Plasma Physics
2017-06-13 v1
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.
Keywords
Cite
@article{arxiv.1706.03639,
title = {Statistical description of turbulent transport for flux driven toroidal plasmas},
author = {J. Anderson and K. Imadera and Y. Kishimoto and J. Q. Li and H. Nordman},
journal= {arXiv preprint arXiv:1706.03639},
year = {2017}
}
Comments
arXiv admin note: text overlap with arXiv:1008.3214