Multistrange Particle Production and the Statistical Hadronization Model
Michal Petran, Johann Rafelski (U of Arizona)

TL;DR
This paper investigates the production of multistrange hadrons during chemical freeze-out in high-energy collisions using a Statistical Hadronization Model, analyzing data from SPS and RHIC to predict outcomes at LHC.
Contribution
It applies a Statistical Hadronization Model to multistrange hadron yields across various energies and centralities, providing insights into the freeze-out conditions and future LHC expectations.
Findings
Constrained the physical conditions of strange hadron production.
Analyzed particle yields from SPS and RHIC data.
Predicted results for LHC energies.
Abstract
We consider the chemical freeze-out of , and multistrange hadrons within a Statistical Hadronization Model inspired approach. We study particle yields across a wide range of reaction energy and centrality from NA49 at SPS and STAR at RHIC experiments. We constrain the physical conditions present in the fireball source of strange hadrons, and anticipate results expected at LHC.
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