2017/06/09 by J. Anderson, K. Imadera, Y. Kishimoto +2
Physics and Astronomy · #physics.plasm-ph
paper · pdf · doi:10.1088/1741-4326/aa686b
published as Nucl. Fusion 57 (2017) 066013 · arXiv admin note: text overlap with arXiv:1008.3214
arxiv created 2017/06/09 · arxiv updated 2017/06/13
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.