Statistical analysis and modeling of intermittent transport events in the tokamak scrape-off layer
Artikel i vetenskaplig tidskrift, 2014

The turbulence observed in the scrape-off-layer of a tokamak is often characterized by intermittent events of bursty nature, a feature which raises concerns about the prediction of heat loads on the physical boundaries of the device. It appears thus necessary to delve into the statistical properties of turbulent physical fields such as density, electrostatic potential, and temperature, focusing on the mathematical expression of tails of the probability distribution functions. The method followed here is to generate statistical information from time-traces of the plasma density stemming from Braginskii-type fluid simulations and check this against a first-principles theoretical model. The analysis of the numerical simulations indicates that the probability distribution function of the intermittent process contains strong exponential tails, as predicted by the analytical theory.

Statistical theory




Johan Anderson

Chalmers, Rymd- och geovetenskap, Plasmafysik och fusionsenergi

Federico Halpern

Ecole Polytechnique Federale De Lausanne

Pavlos Xanthopoulos

Max Planck-institutet

Paolo Ricci

Ecole Polytechnique Federale De Lausanne

Ivo Furno

Ecole Polytechnique Federale De Lausanne

Physics of Plasmas

1070-664X (ISSN) 1089-7674 (eISSN)

Vol. 21 12 article no. 122306- 122306




Grundläggande vetenskaper


Fusion, plasma och rymdfysik



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