A study of charged-particle multiplicity distribution in high energy p-O collisions

TL;DR

This paper compares charged-particle multiplicity distributions in high-energy p-O collisions using different nuclear models and approaches, revealing significant differences based on geometric descriptions and computational methods.

Contribution

It introduces a systematic comparison of multiplicity distributions from Pythia and $k_T$-factorization with different nuclear configurations, highlighting the impact of initial nucleus modeling.

Findings

Different nuclear models significantly affect multiplicity predictions.

Pythia and $k_T$-factorization yield notably different multiplicity behaviors.

Multiplicity distributions show variations across pseudorapidity and energy levels.

Abstract

This study investigates the multiplicity distribution of charged particles generated in $p$-O collisions, employing Pythia (Angantyr) and $k_T$-factorization approach. Oxygen nucleus configurations are sampled using a $\alpha$-cluster model to evaluate both formalisms and assess how initial nucleus configuration influences the properties of the produced final states. Results obtained through clustering are systematically compared to those derived from the Woods-Saxon nuclear distribution. The analysis encompasses various pseudorapidity intervals ($|\eta|<$ 0.5, 1.0, 2.0, 3.0) and center-of-mass energies ($\sqrt{s}=$ 2.36, 5.02, 7.0, 13.0 TeV). Based on the resulting distributions, we examine the KNO scaling effect and fit the distributions with the double NBD model for parameterization, aiming to accurately characterize the observed results and elucidate contributions from both soft and semi-hard processes. Our results indicate that different geometric descriptions of the oxygen nucleus project significantly different multiplicities of charged particles, especially for large multiplicities and higher pseudorapidity. We also observed that multiplicity of charged particles calculated with Pythia reveals significantly different behavior from that calculated with $k_T$-factorization.