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arXiv · 1608.03705

Near and Far from Equilibrium Power-Law Statistics

Tamas S Biro·Gergely G Barnafoldi·Gabor Biro·Ke Ming Shen
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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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Tamas S Biro, Gergely G Barnafoldi, Gabor Biro, Ke Ming Shen. 2016-08-12. Near and Far from Equilibrium Power-Law Statistics. https://doi.org/10.1088/1742-6596/779/1/012081

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