Multi-level segment analysis: definition and application in turbulent systems

TL;DR

This paper introduces multi-level segment analysis (MSA), a new method based on local extrema statistics, to better identify scaling regimes in complex turbulent systems, overcoming limitations of traditional techniques.

Contribution

The paper develops and validates MSA, a novel approach that improves the detection of multiscaling in turbulent systems compared to existing methods.

Findings

MSA successfully reveals different scaling regimes in turbulence.

MSA outperforms traditional methods like structure-function and Fourier spectrum.

Applicable to various dynamic systems with multiscaling and multifractal properties.

Abstract

For many complex systems the interaction of different scales is among the most interesting and challenging features. It seems not very successful to extract the physical properties in different scale regimes by the existing approaches, such as structure-function and Fourier spectrum method. Fundamentally these methods have their respective limitations, for instance scale mixing, i.e. the so-called infrared and ultraviolet effects. To make improvement in this regard, a new method, multi-level segment analysis (MSA) based on the local extrema statistics, has been developed. Benchmark (fractional Brownian motion) verifications and the important case tests (Lagrangian and two-dimensional turbulence) show that MSA can successfully reveal different scaling regimes, which has been remaining quite controversial in turbulence research. In general the MSA method proposed here can be applied to different dynamic systems in which the concepts of multiscaling and multifractal are relevant.