Statistical Model Predictions for p-p and Pb-Pb collisions at LHC

TL;DR

This paper discusses statistical model predictions for particle production in p-p and Pb-Pb collisions at LHC, focusing on freeze-out conditions, particle ratios, and canonical suppression effects.

Contribution

It introduces methods to determine freeze-out points using particle ratios and explores canonical suppression in p-p collisions within a cluster framework.

Findings

Particle ratios can effectively determine freeze-out conditions.

Canonical suppression effects are significant in p-p collisions at LHC energies.

Measurements will help estimate strangeness correlation volume and its energy dependence.

Abstract

Predictions for particle production at LHC are discussed in the context of the statistical model. Moreover, the capability of particle ratios to determine the freeze-out point experimentally is studied, and the best suited ratios are specified. Finally, canonical suppression in p-p collisions at LHC energies is discussed in a cluster framework. Measurements with p-p collisions will allow us to estimate the strangeness correlation volume and to study its evolution over a large range of incident energies.