Study of the characteristic properties of charged particle production in hadron–nucleus collisions at high energies by utilizing the approaches from different statistical models is performed. Predictions from different approaches using the negative binomial distribution, shifted Gompertz distribution, Weibull distribution and the Krasznovszky–Wagner distribution are considered for a comparative study of the relative success of these models. These distributions derived from a variety of functional forms are based on either phenomenological parameterizations or some model of the underlying dynamics. Some of these have also been used to study the data at the Large Hadron Collider (LHC) for both proton–proton and nucleus–nucleus collisions. Various physical and derived observables have been used for the analysis.

中文翻译：

---

使用统计分布研究 h-A 碰撞中的粒子产生

利用不同统计模型的方法，研究了高能强子-核碰撞中带电粒子产生的特性。考虑使用负二项分布、移位的 Gompertz 分布、Weibull 分布和 Krasznovszky-Wagner 分布的不同方法的预测，以比较研究这些模型的相对成功。这些源自各种函数形式的分布基于现象学参数化或某些潜在动力学模型。其中一些也被用于研究大型强子对撞机（LHC）的质子-质子和原子核-原子核碰撞数据。分析中使用了各种物理和衍生的可观察物。