Probing strangeness with event topology classifiers in pp collisions at energies available at the CERN Large Hadron Collider with the rope hadronization mechanism in PYTHIA
Suraj Prasad, Bhagyarathi Sahoo, Sushanta Tripathy, Neelkamal Mallick,, and Raghunath Sahoo

TL;DR
This paper investigates strangeness production in proton-proton collisions at LHC energies using PYTHIA simulations, exploring how event topology classifiers can reveal heavy-ion-like features and the microscopic origins of strangeness enhancement.
Contribution
It introduces the use of event shape observables, especially charged particle flattenicity, to study strangeness enhancement in pp collisions with PYTHIA's rope hadronization model.
Findings
Charged particle flattenicity effectively probes strangeness enhancement.
Strangeness ratios increase with event activity, similar to heavy-ion collisions.
Event classifiers can reduce bias and unify different collision systems.
Abstract
In relativistic heavy-ion collisions, the formation of a deconfined and thermalized state of partons, known as quark-gluon plasma (QGP), leads to enhanced production of strange hadrons in contrast to proton-proton (pp) collisions, which are taken as baseline. This observation is known as strangeness enhancement in heavy-ion collisions and is considered one of the important signatures that can signify the formation of QGP. However, in addition to strangeness enhancement, recent measurements hint at observing several heavy-ion-like features in high multiplicity pp collisions at energies available at the CERN Large Hadron Collider. Alternatively, event shape observables, such as transverse spherocity, transverse sphericity, charged particle flattenicity, and relative transverse activity classifiers, can fundamentally separate hard interaction-dominated jetty events from soft isotropic…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Quantum Chromodynamics and Particle Interactions
