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The turbulence observed in the scrape-off-layer of a tokamak is oftencharacterized by intermittent events of bursty nature, a feature which raisesconcerns about the prediction of heat loads on the physical boundaries of thedevice. It appears thus necessary to delve into the statistical properties ofturbulent physical fields such as density, electrostatic potential andtemperature, focusing on the mathematical expression of tails of theprobability distribution functions. The method followed here is to generatestatistical information from time-traces of the plasma density stemming fromBraginskii-type fluid simulations, and check this against a first-principlestheoretical model. The analysis of the numerical simulations indicates that theprobability distribution function of the intermittent process contains strongexponential tails, as predicted by the analytical theory.

Statistical analysis and modeling of intermittent transport events in the tokamak SOL