Predicting PDF tails of flux in plasma sheath region

Johan Anderson, Eun Jin Kim

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This letter provides the first prediction of the probability density function (PDF) of flux R in plasma sheath region in magnetic fusion devices which is characterized by dynamical equations with exponential non-linearities. By using a non-perturbative statistical theory (instantons), the PDF tails of first moment are shown to be a modified Gumbel distribution which represents a frequency distribution of the extreme values of the ensemble. The non-Gaussian PDF tails that may be enhanced over Gaussian predictions are the result of intermittency caused by short lived coherent structures (instantons).

Original languageEnglish
Article number012001
JournalPlasma Physics and Controlled Fusion
Volume52
Issue number1
DOIs
Publication statusPublished - 1 Dec 2009
Externally publishedYes

Fingerprint

Plasma sheaths
plasma sheaths
probability density functions
Probability density function
Fluxes
instantons
frequency distribution
intermittency
predictions
Fusion reactions
fusion
nonlinearity
moments

ASJC Scopus subject areas

  • Nuclear Energy and Engineering
  • Condensed Matter Physics

Cite this

Predicting PDF tails of flux in plasma sheath region. / Anderson, Johan; Kim, Eun Jin.

In: Plasma Physics and Controlled Fusion, Vol. 52, No. 1, 012001, 01.12.2009.

Research output: Contribution to journalArticle

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