Chemical freezeout parameters within generic nonextensive statistics
Abdel Nasser Tawfik (Egyptian Ctr. Theor. Phys., Cairo, WLCAPP,, Cairo), Hayam Yassin, Eman R. Abo Elyazeed (Ain Shams U., Cairo, WLCAPP,, Cairo)

TL;DR
This paper introduces a generalized nonextensive statistical approach to describe particle production in heavy-ion collisions, showing it better fits experimental data than traditional models and aligns with known thermodynamic phase diagrams.
Contribution
The work develops a generic nonextensive statistics framework within the hadron resonance gas model, encompassing Boltzmann-Gibbs and Tsallis statistics as special cases, to analyze particle ratios across a wide energy range.
Findings
Nonextensive statistics better reproduces particle ratios than BG or Tsallis.
Freezeout parameters are consistent with the traditional phase diagram.
The nonextensivity is characterized by two critical exponents (c, d).
Abstract
The particle production in relativistic heavy-ion collisions seems to be created in a dynamically disordered system which can be best described by an extended exponential entropy. In distinguishing between the applicability of this and Boltzmann-Gibbs (BG) in generating various particle-ratios, generic (non)extensive statistics (GNS) is introduced to the hadron resonance gas model. Accordingly, the degree of (non)extensivity is determined by the possible modifications in the phase space. Both BG extensivity and Tsallis nonextensivity are included as very special cases defined by specific values of the equivalence classes . We found that the particle ratios at energies ranging between and GeV are best reproduced by nonextensive statistics, where and range between and . The present work aims at illustrating that the proposed approach is well…
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