The strongly intensive observable in pp collisions at LHC energies in the string fusion model

TL;DR

This paper investigates how string fusion influences particle correlation variables in proton-proton collisions at LHC energies, revealing significant energy-dependent effects on particle clustering and correlations.

Contribution

It introduces a MC simulation framework incorporating string fusion and clustering effects to analyze strongly intensive variables in pp collisions at LHC energies.

Findings

String fusion significantly affects the strongly intensive variable.

The variable increases with collision energy due to more fused string clusters.

Dependence on the distance and width of observation windows is characterized.

Abstract

The properties of the strongly intensive variable characterizing correlations between the number of particles in two separated rapidity interval in pp interactions at LHC energies are studied in the framework of the string fusion model. We perform the MC simulations of string distributions in the impact parameter plane to take into account the experimental conditions of pp collisions. We account the string fusion processes, leading to the formation of string clusters, embedding a finite lattice (a grid) in the impact parameter plane. As a result, we found the dependence of this variable both on the distance between the centers of the observation windows and their width for the minbias pp collisions at several initial energies. Analyzing these dependencies we can extract the important information on the properties of string clusters. We show that in pp collisions at LHC energies the string fusion effects have a significant impact on the behavior of this strongly intensive variable. The role of these effects is increasing with the initial energy and centrality of collisions. In particular, we found that the increase of this variable with initial energy takes place due to the growth of the portion of the fused string clusters in string configurations arising in pp interactions.