Near and Far from Equilibrium Power-Law Statistics

Abstract

We analyze the connection between $p_T$ and multiplicity distributions in a statistical framework. We connect the Tsallis parameters, $T$ and $q$, to physical properties like average energy per particle and the second scaled factorial moment, $F_2=⟨n(n-1)⟩/{⟨n⟩}^2$, measured in multiplicity distributions. Near and far from equilibrium scenarios with master equations for the probability of having $n$ particles, $P_n$, are reviewed based on hadronization transition rates, ${\mu }_n$, from $n$ to $n+1$ particles.

arXiv commentTalk given by T.S.Biro at SQM 2016, Berkeley, 4 pages

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• Random statistical analysis of transverse momentum spectra of strange particles and dependence of related parameters on centrality in high energy collisions at the LHC
• Thermodynamic and hydrodynamic characteristics of interacting system formed in relativistic heavy ion collisions
• An appropriate statistical approach for nonequilibrium particle production