1. Near and Far from Equilibrium Power-Law Statistics
- Author
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Biro, Tamas S, Barnafoldi, Gergely G, Biro, Gabor, and Shen, Ke Ming
- Subjects
High Energy Physics - Phenomenology - 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., Comment: Talk given by T.S.Biro at SQM 2016, Berkeley, 4 pages
- Published
- 2016
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