Near and Far from Equilibrium Power-Law Statistics
T.S. BiróWigner Research Centre for Physics, Budapest, HungaryG.G. BarnaföldiWigner Research Centre for Physics, Budapest, HungaryG. BíróWigner Research Centre for Physics, Budapest, HungaryK.M. ShenCentral China Normal University, Wuhan, China
2017en
ABI
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, $F_2=\langle n(n-1) \rangle / {\langle n \rangle}^2$, 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.
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