Freeze-out Properties of Different Strange Hadrons from {\auau} Collisions at {\sqrtsNN}~= 54.4 GeV

TL;DR

This study investigates the freeze-out properties of strange hadrons in Au+Au collisions at 54.4 GeV, revealing mass-dependent freeze-out behavior and centrality effects on key parameters using Tsallis-like fits.

Contribution

It introduces a detailed analysis of strange hadron spectra with Tsallis distribution, highlighting mass and centrality dependencies of freeze-out parameters in heavy-ion collisions.

Findings

Effective temperature is higher for multi-strange hadrons.

Freeze-out parameters vary significantly with collision centrality.

Entropy parameter q increases from central to peripheral collisions.

Abstract

We analyzed the transverse momentum {\ppt} spectra of different particle species containing strange quark {\ks}, {\lam (\alam)} and {\xim ({\axi})} in different centrality intervals at mid-rapidity ($y$) from {\auau} collisions at {\sqrtsNN}= 54.4 GeV. The {\ppt} spectra of these strange hadrons are investigated by Tsallis-like distribution. The Tsallis-like distribution satisfactorily fits the experimental data. The effective temperature, entropy based parameter $q$ and mean {\ppt} extracted from the Tsallis-like distribution function while the kinetic freeze-out temperature ($T_0$) and transverse flow velocity ($\beta_T$) are extracted by an alternative method. The effective temperature, entropy based parameter $q$ and mean {\ppt} are found to be strongly dependent on centrality. The effective temperature of multi-strange particle ({\xim ({\axi})}) is larger as compared to singly-strange particles {\lam (\alam)} and {\ks}. Furthermore, the extracted parameters from alternative approach decreases from central collisions to peripheral collisions, except the parameter $q$ which shows an opposite behaviour. A mass dependent kinetic freeze-out scenario is observed as the effective flow is larger for massive particles than the lighter one. Furthermore, the $T$, $\beta_T$ and mean {\ppt} ($\langle p_T \rangle$) shows decreasing trend as we go from central collisions to peripheral collisions. The entropy parameter $q$ increases from central to peripheral collisions.