Pion Fluctuation in High Energy Collisions - A Chaos-based Quantitative Estimation with Visibility Graph Technique

TL;DR

This paper introduces a novel chaos-based method using Visibility Graph Analysis to quantify pion fluctuations in high-energy collisions, revealing how fractality varies with target excitation.

Contribution

It applies a new non-linear, chaos-based technique to analyze multipion production, providing a quantitative measure of fractality and chaos in high-energy collision data.

Findings

Fractality decreases with increased target excitation.

Visibility Graph Analysis effectively characterizes chaotic behavior.

PSVG parameter correlates with the dynamical state of particle production.

Abstract

We propose a new approach for studying pion fluctuation for deeper understanding of the dynamical process involved, from a perspective of fBm-based complex network analysis method called Visibility graph Analysis. This chaos-based, rigorous, non-linear technique is applied to study the erratic behavior of multipion production in \pi^{-}-Ag/Br interactions at 350 GeV. This method can offer reliable results with finite data points. The Power of Scale-freeness of Visibility Graph denoted by-PSVG is a measure of fractality, which can be used as a quantitative parameter for the assessment of the state of a chaotic system. The event-wise fluctuation of the multipion production process can be described by this parameter-PSVG. From the analysis of the PSVG parameter, we can quantitatively confirm that fractal behavior of the particle production process depends on the target excitation and also the fractality decreases with the increase of target excitation.