# Multiplicity dependence of identified particle production in pp   collisions with ALICE

**Authors:** Vytautas Vislavicius (for the ALICE Collaboration)

arXiv: 1704.04737 · 2019-08-13

## TL;DR

This paper investigates how the production of identified particles in proton-proton collisions varies with event multiplicity at different energies, revealing similarities with larger collision systems and highlighting limitations of current models.

## Contribution

It provides detailed measurements of identified particle yields in pp collisions across energies and compares them with p-Pb and Pb-Pb results, emphasizing the multiplicity dependence of strange hadron production.

## Key findings

- Strange hadron yields increase more than non-strange with multiplicity.
- Multiplicity dependence of spectral shapes is qualitatively captured by models.
- Integrated yield ratios are poorly modeled by current Monte Carlo simulations.

## Abstract

The study of identified particle production as a function of transverse momentum ($p_{\text{T}}$) and event multiplicity in proton-proton (pp) collisions at different center-of-mass energies ($\sqrt{s}$) is a key tool for understanding similarities and differences between small and large collisions systems. We report on the production of $\pi^{\pm}$, $K^{\pm}$, $K^{0}_{S}$, $p (\bar{p})$, $\Lambda (\bar{\Lambda})$, $\Xi^{\pm}$ and $\Omega^{\pm}$ measured in pp collisions in a wide range of center-of-mass energies with ALICE. The multiplicity dependence of identified particle yields is presented for $\sqrt{s} = \textrm{7}$ and $13$ TeV and discussed in the context of the results obtained in proton-lead (p-Pb) and lead-lead (Pb-Pb) collisions, unveiling remarkable and intriguing similarities. The production rates of strange hadrons are observed to increase more than those of non-strange particles, showing an enhancement pattern with multiplicity which does not depend on the collision energy. Even if the multiplicity dependence of spectral shapes can be qualitatively described by commonly-used Monte Carlo (MC) event generators, the evolution of integrated yield ratios is poorly described by these models.

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/1704.04737/full.md

## References

15 references — full list in the complete paper: https://tomesphere.com/paper/1704.04737/full.md

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Source: https://tomesphere.com/paper/1704.04737