Random statistical analysis of transverse momentum spectra of strange particles and dependence of related parameters on centrality in high energy collisions at the LHC

TL;DR

This paper employs a Monte Carlo simulation based on a modified Tsallis-Pareto distribution to analyze the transverse momentum spectra of strange particles in high-energy collisions at the LHC, revealing insights into collision dynamics and particle properties.

Contribution

It introduces a novel Monte Carlo approach using a modified Tsallis-Pareto function to accurately simulate strange particle spectra in high-energy collisions.

Findings

Good agreement with experimental data in most cases

Extraction of kinetic freeze-out parameters

Provides a new tool for particle spectrum analysis

Abstract

We have studied the transverse momentum ($p_T$) spectra of the final-state strange particles, including $K^{\pm}$, $\phi$, $\it\Xi$, and $\it\Omega$, produced in high energy lead-lead (Pb-Pb), proton-lead ($p$-Pb), xenon-xenon (Xe-Xe) collisions at the Large Hadron Collider (LHC). Taking into account the contribution of multi-quark composition, whose probability density distribution is described by the modified Tsallis-Pareto-type function, we simulate the $p_T$ spectra of the final-state strange particles by a Monte Carlo method, which is shown to be in good agreement with the experimental data in most the cases. The kinetic freeze-out parameters are obtained. The present method provides a new tool for studying the spectra of various particles produced in high energy collisions, reflecting more realistically the collision process, which is of great significance to study the formation and properties of the produced particles.