Pattern Recognition in High Multiplicity Events

TL;DR

This paper introduces a wavelet-based method for pattern recognition in high multiplicity nucleus-nucleus collision events, aiming to classify and identify special features like jets and ring-like structures.

Contribution

It presents the first application of wavelet techniques to pattern recognition in high-energy nucleus-nucleus collisions, demonstrating its potential for event classification.

Findings

Wavelet method successfully identified patterns in a Pb-Pb collision event.

The approach can distinguish events with specific features like jets and rings.

Extension of the method is proposed for broader application.

Abstract

In very high energy collisions, many particles are produced and distributed in the available phase space volume in various ways. With advent of new accelerator facilities (especially, for nucleus-nucleus collisions), the problem of pattern recognition in high multiplicity events becomes very actual in order to classify such events and to separate those of them with some special features (e.g. ring-like events, jets and other regular patterns). This paper presents the first attempt to use wavelet technique for pattern recognition in nucleus-nucleus collisions. After describing the method in general, we demonstrate its power by applying it to a single event of Pb-Pb collision at 158A GeV with 1072 charged particles produced and discuss results obtained for some other events. Further extension of the method is proposed.