Analysis of nucleus-nucleus collisions at high energies and Random Matrix Theory

TL;DR

This paper introduces a new statistical method based on Random Matrix Theory for analyzing high-energy nucleus-nucleus collision data, effectively detecting particle momentum correlations while reducing background noise.

Contribution

It presents a novel application of Random Matrix Theory to high-energy physics data analysis, improving correlation detection without background interference.

Findings

Good agreement with standard analysis methods

Effective detection of momentum correlations

Reduced background contributions

Abstract

We propose a novel statistical approach to the analysis of experimental data obtained in nucleus-nucleus collisions at high energies which borrows from methods developed within the context of Random Matrix Theory. It is applied to the detection of correlations in momentum distributions of emitted particles. We find good agreement between the results obtained in this way and a standard analysis based on the method of effective mass spectra and two-pair correlation function often used in high energy physics. The method introduced here is free from unwanted background contributions.