Probing QGP-like Dynamics via Multi-Strange Hadron Production in High-Multiplicity pp Collisions

This study employs Monte Carlo (MC) models and thermal-statistical analysis to investigate the production mechanisms of strange (KS0, Λ) and multi-strange (Ξ, Ω) hadrons in high-multiplicity proton–proton collisions. Through systematic comparisons with experimental data, we evaluate the predictive power of EPOS, PYTHIA8, QGSJETII04, and Sibyll2.3d. EPOS, with its hydrodynamic evolution, successfully reproduces low-pTKS0 and Λ yields in high-multiplicity classes (MC1–MC3), mirroring quark-gluon plasma (QGP) thermalization effects. PYTHIA8’s rope hadronization partially mitigates mid-pT multi-strange baryon suppression but underestimates Ξ and Ω yields due to the absence of explicit medium dynamics. QGSJETII04, tailored for cosmic-ray showers, overpredicts soft KS0 yields from excessive soft Pomeron contributions and lacks multi-strange hadron predictions due to enforced decays. Sibyll2.3d’s forward-phase bias limits its accuracy at midrapidity. No model fully captures Ξ and Ω production, though EPOS remains the closest. Complementary Tsallis distribution analysis reveals a distinct mass-dependent hierarchy in the extracted effective temperature (Teff) and non-extensivity parameter (q). As multiplicity decreases, Teff rises while q declines—a trend amplified for heavier particles. This suggests faster equilibration of heavier particles compared to lighter species. The interplay of these findings underscores the necessity of incorporating QGP-like medium effects and refined strangeness enhancement mechanisms in MC models to describe small-system collectivity.

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Publication Details

Journal
Particles
Published
2025-04-04
DOI
https://doi.org/10.3390/particles8020038
Citations
4
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
7.48

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article

Probing QGP-like Dynamics via Multi-Strange Hadron Production in High-Multiplicity pp Collisions

Muhammad Waqas, Taoufik S. Saidani, M. Ajaz, Haifa I. Alrebdi et al.
4 citations
Particles
Particle physics theoretical and experimental studies
7.48
article

Probing QGP-like Dynamics via Multi-Strange Hadron Production in High-Multiplicity pp Collisions

Muhammad Waqas, Taoufik S. Saidani, M. Ajaz, Haifa I. Alrebdi, Maryam Waqar
article en
4 citations

Abstract

This study employs Monte Carlo (MC) models and thermal-statistical analysis to investigate the production mechanisms of strange (KS0, Λ) and multi-strange (Ξ, Ω) hadrons in high-multiplicity proton–proton collisions. Through systematic comparisons with experimental data, we evaluate the predictive power of EPOS, PYTHIA8, QGSJETII04, and Sibyll2.3d. EPOS, with its hydrodynamic evolution, successfully reproduces low-pTKS0 and Λ yields in high-multiplicity classes (MC1–MC3), mirroring quark-gluon plasma (QGP) thermalization effects. PYTHIA8’s rope hadronization partially mitigates mid-pT multi-strange baryon suppression but underestimates Ξ and Ω yields due to the absence of explicit medium dynamics. QGSJETII04, tailored for cosmic-ray showers, overpredicts soft KS0 yields from excessive soft Pomeron contributions and lacks multi-strange hadron predictions due to enforced decays. Sibyll2.3d’s forward-phase bias limits its accuracy at midrapidity. No model fully captures Ξ and Ω production, though EPOS remains the closest. Complementary Tsallis distribution analysis reveals a distinct mass-dependent hierarchy in the extracted effective temperature (Teff) and non-extensivity parameter (q). As multiplicity decreases, Teff rises while q declines—a trend amplified for heavier particles. This suggests faster equilibration of heavier particles compared to lighter species. The interplay of these findings underscores the necessity of incorporating QGP-like medium effects and refined strangeness enhancement mechanisms in MC models to describe small-system collectivity.

ParticlesVol. 8(2)
Princess Nourah bint Abdulrahman University (SA), Northern Border University (SA), Abdul Wali Khan University Mardan (PK), Hubei University of Automotive Technology (CN)
Princess Nourah Bint Abdulrahman University, Northern Border University
Openalex Percentile: Top 4%
Particle physics theoretical and experimental studies
7.48
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