Chiral phase transition in the linear sigma model within Hartree factorization in the Tsallis nonextensive statistics
Masamichi Ishihara

TL;DR
This paper investigates how small deviations from Boltzmann-Gibbs statistics, modeled by Tsallis nonextensive statistics, influence the chiral phase transition in the linear sigma model, revealing parameter-dependent effects on condensate and meson masses.
Contribution
It introduces a novel analysis of the chiral phase transition within Tsallis nonextensive statistics using Hartree factorization, highlighting the impact of the entropic parameter q on physical quantities.
Findings
Condensate decreases with increasing q.
Sigma mass varies with q and temperature, being lighter at low T and heavier at high T for larger q.
Pion mass slightly affected by q, especially above 200 MeV.
Abstract
We studied chiral phase transition in the linear sigma model within the Tsallis nonextensive statistics in the case of small deviation from the Boltzmann-Gibbs (BG) statistics. The statistics has two parameters: the temperature and the entropic parameter . The normalized -expectation value and the physical temperature were employed in this study. The normalized -expectation value was expanded as a series of the value , where the absolute value is the measure of the deviation from the BG statistics. We applied the Hartree factorization and the free particle approximation, and obtained the equations for the condensate, the sigma mass, and the pion mass. The physical temperature dependences of these quantities were obtained numerically. We found following facts. The condensate at is smaller than that at for . The sigma mass at is…
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