Code C# for chaos analysis of relativistic many-body systems with reactions

TL;DR

This paper introduces a modular, object-oriented code library for chaos analysis in relativistic many-body systems, incorporating a new clusterization map method and demonstrating its effectiveness with nuclear collision simulations.

Contribution

The work presents a customizable reactions module and a novel clusterization map analysis technique for chaos in relativistic many-body systems, validated with experimental data.

Findings

Encouraging agreement with experimental momentum, energy, rapidity, and angular distributions.

Implementation of a flexible, XML-driven reactions module.

Introduction of the clusterization map as an intuitive analysis tool.

Abstract

In this work we present a reactions module for "Chaos Many-Body Engine" (Grossu et al., 2010 [1]). Following our goal of creating a customizable, object oriented code library, the list of all possible reactions, including the corresponding properties (particle types, probability, cross-section, particles lifetime etc.), could be supplied as parameter, using a specific XML input file. Inspired by the Poincare section, we propose also the "Clusterization map", as a new intuitive analysis method of many-body systems. For exemplification, we implemented a numerical toy-model for nuclear relativistic collisions at 4.5 A GeV/c (the SKM200 collaboration). An encouraging agreement with experimental data was obtained for momentum, energy, rapidity, and angular {\pi}- distributions.