The Path to N$^3$LO Parton Distributions
The NNPDF Collaboration: Richard D. Ball, Andrea Barontini, Alessandro, Candido, Stefano Carrazza, Juan Cruz-Martinez, Luigi Del Debbio, Stefano, Forte, Tommaso Giani, Felix Hekhorn, Zahari Kassabov, Niccol\`o Laurenti,, Giacomo Magni, Emanuele R. Nocera

TL;DR
This paper develops approximate N$^3$LO parton distribution functions by extending existing PDFs with new corrections and uncertainty estimates, improving the accuracy and stability of predictions for collider processes.
Contribution
It introduces an approximation to N$^3$LO splitting functions, extends the FONLL scheme to this order, and provides a comprehensive assessment of the impact on PDFs and collider phenomenology.
Findings
aN$^3$LO PDFs are consistent with NNLO within uncertainties
They improve the description of the global dataset
MHOUs decrease with higher perturbative order
Abstract
We extend the existing leading (LO), next-to-leading (NLO), and next-to-next-to-leading order (NNLO) NNPDF4.0 sets of parton distribution functions (PDFs) to approximate next-to-next-to-next-to-leading order (aNLO). We construct an approximation to the NLO splitting functions that includes all available partial information from both fixed-order computations and from small and large resummation, and estimate the uncertainty on this approximation by varying the set of basis functions used to construct the approximation. We include known NLO corrections to deep-inelastic scattering structure functions and extend the FONLL general-mass scheme to accuracy. We determine a set of aNLO PDFs by accounting both for the uncertainty on splitting functions due to the incomplete knowledge of NLO terms, and to the uncertainty related to…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Quantum Chromodynamics and Particle Interactions · Distributed and Parallel Computing Systems
