Non-gaussian probability distribution functions in two dimensional Magnetohydrodynamic turbulence
arXiv:nlin/0101054 · doi:10.1209/epl/i2000-00369-6
Abstract
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.
7 pages, with 5 figures
References in corpus (2)
Cited by in corpus (12)
- Finite dissipation and intermittency in magnetohydrodynamics
- On the lack of universality in decaying magnetohydrodynamic turbulence
- Structures in magnetohydrodynamic turbulence: detection and scaling
- Analysis of cancellation in two-dimensional magnetohydrodynamic turbulence
- Helical rotating turbulence. Part II. Intermittency, scale invariance and structures
- The Effect of Coherent Structures on Stochastic Acceleration in MHD Turbulence
- Self-consistent Castaing distribution of solar wind turbulent fluctuations
- On the intermittent character of interplanetary magnetic field fluctuations
- The dynamics of unforced turbulence at high Reynolds number for Taylor-Green vortices generalized to MHD
- High Reynolds number magnetohydrodynamic turbulence using a Lagrangian model
- Scaling characteristics of fractional diffusion processes in the presence of power-law distributed random noise
- Topological changes of the photospheric magnetic field inside active regions: a prelude to flares