The momentum flux probability distribution function for ion-temperature-gradient turbulence

Johan Anderson, Eun Jin Kim

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


There has been overwhelming evidence that coherent structures play a critical role in determining the overall transport in a variety of systems. We compute the probability distribution function (PDF) tails of momentum flux and heat flux in ion-temperature-gradient turbulence, by taking into account the interaction among modons, which are assumed to be coherent structures responsible for bursty and intermittent events, contributing to the PDF tails. The tail of PDF of momentum flux R= 〈 vx vy 〉 is shown to be exponential with the form exp {- R32 }, which is broader than a Gaussian, similar to what was found in the previous local studies. An analogous expression with the same functional dependence is found for the PDF tails of heat flux. Furthermore, we present a detailed numerical study of the dependence of the PDF tail on the temperature and density scale lengths and other physical parameters through the coefficient .

Original languageEnglish
Article number052306
JournalPhysics of Plasmas
Issue number5
Publication statusPublished - 28 May 2008
Externally publishedYes

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Condensed Matter Physics


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