Towards Ultimate Parton Distributions at the High-Luminosity LHC
Rabah Abdul Khalek, Shaun Bailey, Jun Gao, Lucian Harland-Lang, Juan, Rojo

TL;DR
This paper evaluates how the complete High-Luminosity LHC dataset will significantly improve the precision of parton distribution functions, reducing uncertainties and enhancing predictions for key processes like Higgs production.
Contribution
It provides a detailed projection of the potential improvements in PDF constraints from HL-LHC data using pseudo-data and Hessian profiling, highlighting the future impact on collider physics.
Findings
HL-LHC data can reduce PDF uncertainties by a factor of 2 to 4.
Predicted few-percent uncertainties for Higgs transverse momentum distribution.
Demonstrates the potential for hadron collider data to significantly refine PDFs.
Abstract
Since its start of data taking, the LHC has provided an impressive wealth of information on the quark and gluon structure of the proton. Indeed, modern global analyses of parton distribution functions (PDFs) include a wide range of LHC measurements of processes such as the production of jets, electroweak gauge bosons, and top quark pairs. In this work, we assess the ultimate constraining power of LHC data on the PDFs that can be expected from the complete dataset, in particular after the High-Luminosity (HL) phase, starting in around 2025. The huge statistics of the HL-LHC, delivering ab to ATLAS and CMS and ab to LHCb, will lead to an extension of the kinematic coverage of PDF-sensitive measurements as well as to an improvement in their statistical and systematic uncertainties. Here we generate HL-LHC pseudo-data for different projections…
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