New developments in the statistical approach of parton distributions

TL;DR

This paper revisits the quantum statistical approach to parton distributions, using recent deep inelastic scattering data to improve the global fit and make predictions for high-energy collider processes.

Contribution

It introduces an updated quantum statistical model for parton distributions incorporating recent data, enhancing the description of structure functions within a next-to-leading order QCD framework.

Findings

Good fit to multiple structure functions

Effective description with few parameters

Predictions for LHC energy processes

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 terms of a rather small number of free parameters. There are several challenging issues. The predictions of this theoretical approach will be tested for single-jet production and charge asymmetry in $W^{\pm}$ production in $\bar p p$ and $p p$ collisions up to LHC energies, using recent data and also for forthcoming experimental results.