Multifr actal analysis of tokamak plasma tur bulence in biasing exper iments

Introduction The anomalous transport of particles in tokamaks is attached to the turbulent character of high-temperature plasmas. Usually, different types and scales of turbulences exist in plasma simultaneously [1, 2]. Large-scale intermittent bursts are followed by the formation of coherent structures which are the result of self-organization. These structures, which can transfer much of energy, have strong correlations and non-Gaussian probability density function (pdf). The multifractal statistics of the plasma turbulence has been detected as an evidence of rich scaling property of self-similarity and long-range correlations. Multifractality is a notation related to the generalization of the classical definition of self-similarity and underlying cascading process. We have used the wavelet technique for the multifractal analysis [2]. It is considered that the scaling behavior of the structure function M