# Unified Analyses of Multiplicity Distributions and Bose-Einstein Correlations at the LHC using Double-Stochastic Distributions

## TL;DR

This paper presents a unified analysis of multiplicity distributions and Bose-Einstein correlations at the LHC using double-stochastic models, revealing their effectiveness and parameter relationships.

## Contribution

It introduces a combined approach employing D-NBD and D-GGL models for analyzing multiplicity and BEC data at the LHC, demonstrating their comparable performance.

## Key findings

- D-GGL performs as effectively as D-NBD in data analysis.
- Parameters from MD analysis relate to those in BEC formulas.
- Unified models provide consistent descriptions of multiplicity and BEC data.

## Abstract

We analyze data on multiplicity distributions (MD) at Large Hadron Collider (LHC) energies using a double-negative binomial distribution (D-NBD) and double-generalized Glauber-Lachs formula (D-GGL). Moreover, we investigate the Bose-Einstein correlation (BEC) formulas based on these distributions and analyze the BEC data using the parameters obtained by analysis of MDs. From these analyses it can be inferred that the D-GGL formula performs as effectively as the D-NBD. Moreover, our results show that the parameters estimated in MD are related to those contained in the BEC formula.