Light front analysis towards the study of thermalisation in pp collisions at $\sqrt{s}= 13$ TeV
Rahul Ramachandran Nair

TL;DR
This paper uses light front variables to analyze hadron production in 13 TeV proton-proton collisions, revealing statistical behaviors consistent with thermalization and serving as a baseline for QGP formation studies.
Contribution
It introduces a novel light front analysis scheme to study thermalization and statistical properties of hadrons in high-energy pp collisions, using PYTHIA simulations.
Findings
$b1$ $ ext{pi}^{\u00b1}$ and $K^{\u00b1}$ follow Bose-Einstein statistics within a paraboloid in phase space.
$p(ar{p})$ follow Fermi-Dirac statistics within a similar paraboloid.
A polynomial in $p_T$ relates the light front variable to particle type and statistical behavior.
Abstract
An analysis involving the light front variables of inclusively produced hadrons in proton-proton (pp) collisions to study the thermalisation and formation of a QGP-like medium is presented in this paper. Two schemes of analysis are discussed and performed with inclusively produced , and in the central pp collisions at TeV simulated using the PYTHIA 8 event generator. It is shown that a group of and falling inside a paraboloid defined by a certain constant value of the light front variable in their respective phase space follows the Bose-Einstein statistics while the inside the similar paraboloid in its phase space follows the Fermi-Dirac statistics. It is also shown that for the , and with transverse momentum GeV in these collisions, a polynomial in …
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Taxonomy
TopicsChemical and Physical Properties of Materials · Computational Physics and Python Applications · Particle Detector Development and Performance
