Motivated by the need to capture statistical properties of turbulent systems in simple, analytically tractable models, an ensemble of Gaussian sub-ensembles with varying properties of the correlation function such as variance and length scale is investigated. The ensemble statistics naturally exhibit non-Gaussianity and intermittency. Due to the simplicity of Gaussian random fields, many explicit results can be obtained analytically, revealing the origin of non-Gaussianity in this framework. Potential applications of the proposed model ensemble for the description of non-equilibrium statistical mechanics of complex turbulent systems are briefly discussed
We study local power fluctuations in numerical simulations of stationary, homogeneous, isotropic tur...
For generic systems exhibiting power law behaviors, and hence multiscale dependencies, we propose a ...
The importance of the Gaussian distribution as a quantitative model of stochastic phenomena is famil...
Fully developed turbulence is characterized by markedly non-Gaussian statistics. Here, we discuss so...
We show that Lagrangian intermittency in fully developed turbulence can be captured in terms of an e...
The problem of turbulent transport of a scalar field by a random velocity field is considered. The s...
Turbulent flows are notoriously difficult to describe and understand based on first principles. One ...
This paper reports an experimental study on the correlation between the deviation from Gaussianity o...
Non-Gaussian random-matrix ensembles are important in many applications. We propose Monte Carlo and ...
Complex nonlinear turbulent dynamical systems are ubiquitous in many areas. Quantifying the model er...
The extended Gaussian ensemble (EGE) is introduced as a generalization of the canonical ensemble. Th...
We discuss the application of stochastic intermittency fields to describe and analyse the statistica...
Spectral method simulations of ideal magnetohydrodynamics are used to investigate production of cohe...
We present a review of the chaotic hypothesis and discuss its applications to intermittency in stati...
We address the experimentally observed non-Gaussian fluctuations for the energy injected into a clos...
We study local power fluctuations in numerical simulations of stationary, homogeneous, isotropic tur...
For generic systems exhibiting power law behaviors, and hence multiscale dependencies, we propose a ...
The importance of the Gaussian distribution as a quantitative model of stochastic phenomena is famil...
Fully developed turbulence is characterized by markedly non-Gaussian statistics. Here, we discuss so...
We show that Lagrangian intermittency in fully developed turbulence can be captured in terms of an e...
The problem of turbulent transport of a scalar field by a random velocity field is considered. The s...
Turbulent flows are notoriously difficult to describe and understand based on first principles. One ...
This paper reports an experimental study on the correlation between the deviation from Gaussianity o...
Non-Gaussian random-matrix ensembles are important in many applications. We propose Monte Carlo and ...
Complex nonlinear turbulent dynamical systems are ubiquitous in many areas. Quantifying the model er...
The extended Gaussian ensemble (EGE) is introduced as a generalization of the canonical ensemble. Th...
We discuss the application of stochastic intermittency fields to describe and analyse the statistica...
Spectral method simulations of ideal magnetohydrodynamics are used to investigate production of cohe...
We present a review of the chaotic hypothesis and discuss its applications to intermittency in stati...
We address the experimentally observed non-Gaussian fluctuations for the energy injected into a clos...
We study local power fluctuations in numerical simulations of stationary, homogeneous, isotropic tur...
For generic systems exhibiting power law behaviors, and hence multiscale dependencies, we propose a ...
The importance of the Gaussian distribution as a quantitative model of stochastic phenomena is famil...