Strongly intensive observable between multiplicities in two acceptance windows in a string model

TL;DR

This paper investigates a strongly intensive observable between multiplicities in two separated acceptance windows within a string model, analyzing its dependence on correlation functions, window widths, and string fusion effects, with comparisons to PYTHIA simulations.

Contribution

It introduces a calculation of the strongly intensive observable in a string model, including effects of string fusion and provides comparisons with PYTHIA, highlighting conditions under which the observable remains strongly intensive.

Findings

The observable is strongly intensive for independent identical strings.

String fusion affects the observable, making it dependent on collision conditions.

Comparison with PYTHIA shows consistency in certain regimes.

Abstract

The strongly intensive observable between multiplicities in two acceptance windows separated in rapidity and azimuth is calculated in the model with quark-gluon strings acting as sources. The dependence of this observable on the two-particle correlation function of a string, the width of observation windows and the rapidity gap between them is analyzed. In the case with independent identical strings the model calculation confirms the strongly intensive character of this observable: it is independent of both the mean number of string and its fluctuation. For this case the peculiarities of its behaviour for particles with different electric charges are also analyzed. In the case when the string fusion processes are taken into account and a formation of strings of a few different types takes place in a collision, this observable is proved to be equal to a weighted average of its values for different string types. Unfortunately, in this case through the weight factors this observable becomes dependent on collision conditions and, strictly speaking, can not be considered any more as strongly intensive variable. For a comparison the results of the calculation of considered observable with the PYTHIA event generator are also presented.