Statistical models of hadron production -- simple models for complicated processes

TL;DR

This paper discusses how thermal statistical models effectively describe particle production in high energy collisions and highlights the importance of finite volume corrections for distinguishing statistical ensembles.

Contribution

It demonstrates that higher moments and finite volume corrections are crucial for differentiating statistical ensembles in high energy physics.

Findings

Finite volume corrections impact higher moments significantly.

Finite volume effects enable ensemble differentiation in the thermodynamic limit.

Thermal models remain effective for particle production analysis.

Abstract

Thermal statistical models are simple and effective tool to describe particle production in high energy heavy ion collision. It is shown that for higher moments finite volume corrections become important observable quantities. They make possible to differentiate between different statistical ensembles even in the thermodynamic limit.