Two-dimensional discrete wavelet analysis of multiparticle event topology in heavy ion collisions

TL;DR

This paper demonstrates the application of two-dimensional discrete wavelet analysis to identify jet-like structures in multiparticle events from high-energy heavy ion collisions, effectively extracting signals amidst background noise.

Contribution

It introduces the first application of wavelet analysis to jet-like events with simulated background in nucleus-nucleus collisions at LHC energies.

Findings

Wavelet analysis effectively extracts ring-like and jet-like structures.

Jet positions are accurately located despite strong background.

Method shows promise for analyzing complex collision data.

Abstract

The event-by-event analysis of multiparticle production in high energy hadron and nuclei collisions can be performed using the discrete wavelet transformation. The ring-like and jet-like structures in two-dimensional angular histograms are well extracted by wavelet analysis. For the first time the method is applied to the jet-like events with background simulated by event generators, which are developed to describe nucleus-nucleus collisions at LHC energies. The jet positions are located quite well by the discrete wavelet transformation of angular particle distribution even in presence of strong background.