Near and Far from Equilibrium Power-Law Statistics

16th International Conference on Strangeness in Quark Matter

Biró, T.S.^1 ; Barnaföldi, G.G.^1 ; Bíró, G.^1 ; Shen, K.M.^2

Wigner Research Centre for Physics, Budapest, Hungary^1

Central China Normal University, Wuhan, China^2

关键词: Average energy;    Factorial moments;    Hadronization;    Master equations;    Multiplicity distributions;    Power-law statistics;    Statistical framework;    Transition rates;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/779/1/012081/pdf
DOI  :  10.1088/1742-6596/779/1/012081

来源: IOP

【 摘 要 】

We analyze the connection between pTand 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, F2= n(n - 1) / n2, measured in multiplicity distributions. Near and far from equilibrium scenarios with master equations for the probability of having n particles, Pn, are reviewed based on hadronization transition rates, μn, from n to n + 1 particles.