Non-gaussian probability distribution functions in two dimensional Magnetohydrodynamic turbulence

Details Non-gaussian probability distribution functions in two dimensional Magnetohydrodynamic turbulence Non-gaussian probability distribution functions in two dimensional Magnetohydrodynamic turbulence

2001-01-30

arxiv.org/abs/nlin/0101054v1

Europhysics Letters, 51 (5), pp. 520-526 (1 september 2000)

Nonlinear Sciences

Chaotic Dynamics

7 pages, with 5 figures

Scientific paper

Intermittency in MHD turbulence has been analyzed using high resolution 2D numerical simulations. We show that the Probability Distribution Functions (PDFs) of the fluctuations of the Elsasser fields, magnetic field and velocity field depend on the scale at hand, that is they are self-affine. The departure of the PDFs from a Gaussian function can be described through the scaling behavior of a single parameter lambda_r^2 obtained by fitting the PDFs with a given curve stemming from the analysis of a multiplicative model by Castaing et al. (1990). The scaling behavior of the parameter lambda_r^2 can be used to extract informations about the intermittency. A comparison of intermittency properties in different MHD turbulent flows is also performed.

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