MIT bag model inspired partonic transverse momentum distribution for prompt photon production in pp collisions
F. K. Diakonos, N. K. Kaplis, and X. N. Maintas

TL;DR
This paper introduces a non-Gaussian model for partonic transverse momentum in proton-proton collisions, inspired by the MIT bag model, successfully fitting experimental prompt photon production data and revealing the influence of confinement and asymptotic freedom.
Contribution
It proposes a novel non-Gaussian transverse momentum distribution based on the MIT bag model, providing a better understanding of partonic effects in prompt photon production.
Findings
Perfect fit to experimental data with a single free parameter <kT>
<kT> values align with Heisenberg's uncertainty principle
<kT> decreases smoothly with the scaled variable z
Abstract
We consider the prompt photon production in pp collisions using, within the framework of perturbative QCD, a non-Gaussian distribution for the transverse momentum distribution of the partons inside the proton. Our description adopts the widely used in the literature factorization of the partonic momentum distribution into longitudinal and transverse components. It is argued that the non-Gaussian distribution of the intrinsic transverse momenta of the partons is dictated by the asymptotic freedom as well as the 3D confinement of the partons in the proton. To make this association more transparent we use the MIT bag model, which plainly incorporates both properties (asymptotic freedom, confinement), in order to determine in a simplified way the partonic transverse momentum distribution. A large set of data from six different experiments have been fitted with this simple description using…
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