Impact of lattice gluon dataset on CTEQ-TEA global PDFs
Alim Ablat, Sayipjamal Dulat, Tie-Jiun Hou, Huey-Wen Lin, Keping Xie,, and C.-P. Yuan

TL;DR
This paper assesses how recent lattice QCD gluon data influences global PDF analyses, exploring parameterization dependence, collider dataset interplay, and phenomenological implications for LHC processes.
Contribution
It introduces a comprehensive analysis of lattice gluon data impact on PDFs, including parameterization flexibility and collider dataset effects, with phenomenological insights for LHC physics.
Findings
Lattice gluon results significantly affect gluon PDF shape.
Flexible parameterization captures strangeness asymmetry.
Phenomenological predictions for Higgs and top-quark processes are impacted.
Abstract
We investigate the impact of the latest gluon parton results from lattice QCD on the global parton distribution function (PDF) analysis within the CTEQ-TEA framework. The dependence on PDF parameterization is explored using the CT18As variant, incorporating the ATLAS 7 TeV precision dataset and introducing more flexible parameters to allow strangeness asymmetry at the starting scale . The interplay between lattice input and collider inclusive jet datasets is examined by including the post-CT18 inclusive jet datasets from recent LHC measurements and/or removing all collider inclusive jet datasets. Finally, we demonstrate several phenomenological implications at the LHC, focusing on gluon-gluon parton luminosity and related processes, such as the production of a Higgs-like scalar, top-quark pairs, and their associated production with an additional jet, Higgs, or boson.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Computational Physics and Python Applications
