Studying Complexity in Solar Wind Plasma During Shock Events. Part I: Nonextensive Tsallis Statistics

TL;DR

This paper investigates the complex behavior of solar wind plasma during shock events using non-extensive Tsallis statistics, revealing non-Gaussian, multi-scale correlations that challenge classical plasma theories.

Contribution

It is the first to apply non-extensive statistical mechanics to analyze solar wind plasma during shock events, highlighting the limitations of traditional models.

Findings

Solar wind plasma exhibits non-Gaussian, heavy-tailed distributions.

Strong multi-scale correlations are present from microscopic to macroscopic levels.

Classical MHD theories are insufficient to explain observed complexity.

Abstract

Novel results which reveal phase transition processes in the solar wind plasma during shock events are presented in this study which is the first part of a trilogy concerning the solar wind complexity. Solar wind plasma is a typical case of stochastic spatiotemporal distribution of physical magnitudes such as force fields (B, E) and matter fields (particle and current densities or bulk plasma distributions). The results of this study can be understood in the framework of modern theoretical concepts such as non-extensive statistical mechanics (Tsallis, 2009), fractal topology (Zelenyi and Milovanov, 2004), turbulence theory (Frisch,1996), strange dynamics (Zaslavsky, 2002), percolation theory (Milovanov, 1997), anomalous diffusion theory and anomalous transport theory (Milovanov, 2001), fractional dynamics (Tarasov, 2007) and non-equilibrium phase transition theory (Chang, 1992). This study shows clearly the non-extensive and non-Gaussian character of the solar wind plasma and the existence of multi-scale strong correlations from the microscopic to the macroscopic level. This result indicates the inefficiency of classical MHD or plasma statistical theories based on the classical central limit theorem to explain the complexity of the solar wind dynamics, since these theories include smooth and differentiable spatial-temporal functions (MHD theory) or Gaussian statistics (Boltzmann-Maxwell statistical mechanics). However, the results of this study indicate the presence of non-Gaussian non-extensive statistics with heavy tails probability distribution functions, which are related to the q-extension of central limit theorem.