Forward-backward multiplicity distribution with the Chou-Yang model for $pp$ collisions at $\sqrt{s}=$ 0.9, 7 and 8 TeV from the CMS experiment

TL;DR

This paper models charged hadron multiplicity distributions in proton-proton collisions at various energies using a Chou-Yang based distribution, revealing energy-dependent cluster sizes and predicting outcomes at higher energies.

Contribution

It introduces a combined Negative Binomial and Furry-Yule distribution within the Chou-Yang framework to accurately describe multiplicity data and KNO scaling violations.

Findings

The model fits CMS data at 0.9, 7, and 8 TeV well.

Cluster size increases with collision energy.

Prediction for 14 TeV collisions provided.

Abstract

A Chou-Yang type multiplicity distribution comprising a total multiplicity component and a binomial asymmetry component is used to describe charged hadron multiplicity data at $\sqrt{s}=$ 0.9, 7 and 8 TeV from the CMS experiment at CERN. The data was obtained and processed from the CERN Open Data Portal. For the total multiplicity component, it was found that a convex sum of a Negative Binomial Distribution and a Furry-Yule Distribution is able to describe the shoulder-like structure characteristic of KNO scaling violation well. The mean cluster size produced from collisions was also found to increase with collision energy. A prediction is given for $pp$ collisions at $\sqrt{s}=$ 14 TeV.