Entropy scaling from chaotically produced particles in p-p collisions at LHC energies
Supriya Das, Sanjay K. Ghosh, Sibaji Raha, Rajarshi Ray (Bose, Institute)

TL;DR
This paper investigates the entropy scaling in proton-proton collisions at LHC energies, comparing experimental data with Monte Carlo simulations, and predicts particle multiplicities at higher energies based on a two-component model.
Contribution
It introduces a novel analysis of entropy scaling in high-energy p-p collisions and predicts multiplicities at future collider energies using a two-component model.
Findings
Entropy scaling holds up to the highest LHC energies.
Monte Carlo simulations align with experimental entropy data.
Predicted charged particle multiplicities at higher energies.
Abstract
Scaling of information entropy obtained from chaotically produced particles in p-p collisions, has been shown to be valid up to the highest available collision energy at LHC. Results from Monte Carlo simulation model PYTHIA 6.135 have also been compared. Based on the two com- ponent model and collision energy dependence of the chaoticity, charged particle multiplicities at proposed higher collision energies have been predicted.
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Particle physics theoretical and experimental studies · Quantum Chromodynamics and Particle Interactions
