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arXiv 1608.03705hep-ph
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接近和远离均衡幂律统计

Near and Far from Equilibrium Power-Law Statistics

Tamas S Biro, Gergely G Barnafoldi, Gabor Biro, Ke Ming Shen

摘要:

我们分析之间的联系$p_T$和多重分布的统计框架。我们连接的Tsallis参数,$T$和$q$,物理性质,如平均能量每粒子和第二标度阶乘矩,$F_2=\langle n(n-1) \rangle / {\langle n \rangle}^2$,测量多重分布。近和远的平衡情景与主方程的概率有$n$粒子,$P_n$,审查强子化过渡率,$μ_n$,从$n$到$n+1$粒子。

英文摘要:

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, $μ_n$, from $n$ to $n+1$ particles.

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