Abstract

We discuss properties of the net baryon number probability distribution near the chiral phase transition to explore the effect of critical fluctuations. Our studies are performed within Landau theory, where the coefficients of the polynomial potential are parametrized, so as to reproduce the mean-field (MF), the $Z(2)$ and $O(4)$ scaling behaviors of the cumulants of the net baryon number. We show, that in the critical region, the structure of the probability distribution changes, dependently on values of the critical exponents. In the MF approach, as well as in the $Z(2)$ universality class, the contribution of the singular part of the thermodynamic potential tends to broaden the distribution. By contrast, in the model with $O(4)$ scaling, the contribution of the singular part results in a narrower net baryon number probability distribution with a wide tail.

Highlights

  • IntroductionIn a strongly interacting medium, fluctuations of the net baryon number and of the electric charge are valuable probes of the QCD phase transition [1–11]

  • Fluctuations of conserved charges reflect the critical properties of a system

  • In this paper we explore the influence of the chiral phase transition on the probability distribution in the framework of the Landau theory of phase transitions

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Summary

Introduction

In a strongly interacting medium, fluctuations of the net baryon number and of the electric charge are valuable probes of the QCD phase transition [1–11]. The main objective of this paper is to explore the qualitative features of the probability distribution of the net baryon number near the chiral phase transition and their relation to the cumulants. Such studies are of theoretical, and of phenomenological interest. In heavy-ion collisions the probability distribution of conserved charges and corresponding cumulants are measured to verify the chiral phase transition or its remnant.

Fluctuations in the Landau theory
The probability distribution of the net baryon number
Probability distribution of the non-singular potential
Probability distribution of the mean-field potential
Reconstructing cumulants from the probability distributions
Findings
Conclusions
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