New Statistical PDFs: Predictions and Tests up to LHC Energies
Jacques Soffer, Claude Bourrely

TL;DR
This paper revisits quantum statistical parton distributions with recent DIS data, improving the global fit and making predictions for high-energy collider processes up to LHC energies.
Contribution
It introduces a refined quantum statistical model for parton distributions based on an expanded data set and performs a comprehensive NLO QCD analysis.
Findings
Good description of structure functions across a broad $x$ and $Q^2$ range
Insights into the behavior of $ar d / ar u$ at large $x$
Predictions for jet production and charge asymmetry at LHC energies
Abstract
The quantum statistical parton distributions approach proposed more than one decade ago is revisited by considering a larger set of recent and accurate Deep Inelastic Scattering experimental results. It enables us to improve the description of the data by means of a new determination of the parton distributions. This global next-to-leading order QCD analysis leads to a good description of several structure functions, involving unpolarized parton distributions and helicity distributions, in a broad range of and and in terms of a rather small number of free parameters. There are several challenging issues, in particular the behavior of at large , a possible large positive gluon helicity distribution, etc.. The predictions of this theoretical approach will be tested for single-jet production and charge asymmetry in production in and…
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