The Influence of Multiplicity Distribution on the Erraticity Behavior of Multiparticle Production
Liu Zhixu, Fu Jinghua, Liu Lianshou
TL;DR
This paper investigates how the multiplicity distribution affects erraticity in multiparticle production, demonstrating that experimental erraticity can be reproduced with a flat probability distribution when considering the negative-binomial fit.
Contribution
It reveals the impact of multiplicity distribution width on erraticity behavior and shows that erraticity can be explained without complex models.
Findings
Erraticity behavior depends on the width of the multiplicity distribution.
Experimental erraticity can be reproduced with a flat probability distribution.
Negative-binomial distribution effectively fits the multiplicity data.
Abstract
The origin of the erraticity behaviour observed recently in the experiment is studied in some detail. The negative-binomial distribution is used to fit the experimental multiplicity distribution. It is shown that, with the multiplicity distribution taken into account, the experimentally observed erraticity behaviour can be well reproduced using a flat probability distribution. The dependence of erraticity behaviour on the width of multiplicity distribution is studied.
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Taxonomy
TopicsTheoretical and Computational Physics · Granular flow and fluidized beds · Stochastic processes and statistical mechanics