THE LOG-POISSON MODEL OF EDGE PLASMA TURBULENCE IN FUSION DEVICES

Turbulence is a natural state of the plasma in fusion devices. Its statistical properties are essential for the understanding of the confinement in fusion devices. Experimental investigations of the plasma turbulence have shown a deviation (due to a strong intermittency) from the Kolmogorov’s K41 model [1]. The fluctuations observed in stellarators, tokamaks and linear machines (see, e.g., [2] ) are self-similar. It supposes some universal self-similarity properties of edge magnetized plasmas. They are responsible for the memory effects and a large-scale correlation in the space and the time due to intermittent structures. It leads to substantial losses above the ones predicted by a classic diffusive scaling. There are numerous experimental observations of the magnetized plasma turbulence, they share a lot of features of a neutral fluid turbulence (see, e.g., [3]) including many scales, cascades, a strong mixing, anomalous scalings and so on. In spite of a lot of experimental data obtained in fusion devices, our understanding of the turbulence and diffusive transport in magnetized plasmas is still rather limited. In this paper, we focus on a quantitative estimation of scaling laws in frame of the log-Poisson model of intermittent turbulence. The signals from Langmuir probes (density fluctuations ne(t) deduced from the io