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Related Experiment Videos

Statistical model for intermittent plasma edge turbulence.

F Sattin1, N Vianello

  • 1Consorzio RFX, Corso Stati Uniti 4, 35127 Padova, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 11, 2005
PubMed
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Plasma density fluctuations in fusion devices exhibit non-Gaussian behavior. A new stochastic fragmentation model explains this asymmetry, linking it to intermittency and matching experimental data.

Area of Science:

  • Plasma Physics
  • Fluid Dynamics
  • Turbulence Research

Background:

  • Plasma density fluctuations at the edge of fusion devices are non-Gaussian and skewed.
  • The origins of this peculiar behavior and edge turbulence remain largely unexplored.
  • Understanding edge turbulence is crucial for magnetic fusion research.

Purpose of the Study:

  • To investigate the causes of non-Gaussian plasma density fluctuations.
  • To apply a stochastic fragmentation model to predict these fluctuations.
  • To explain the observed asymmetry in plasma density distributions.

Main Methods:

  • Utilizing a stochastic fragmentation model, previously successful in fluid turbulence.
  • Comparing model predictions with experimental data for plasma density fluctuations.

Related Experiment Videos

  • Analyzing the role of intermittency in causing distribution asymmetry.

    • Main Results:

    • The stochastic fragmentation model accurately predicts an asymmetric plasma density distribution.
    • The model's predictions closely match experimental data.
    • Intermittency is identified as the direct cause of the observed asymmetry.

    Conclusions:

    • A stochastic fragmentation model can successfully explain non-Gaussian plasma density fluctuations.
    • The model provides insights into the role of intermittency in edge plasma turbulence.
    • Results are discussed in the context of the Bramwell-Holdsworth-Pinton universal curve for critical systems.