Issue |
EPJ Web of Conferences
Volume 112, 2016
6th International Conference on Physics Opportunities at an Electron-Ion Collider
|
|
---|---|---|
Article Number | 03007 | |
Number of page(s) | 6 | |
Section | High Q² and Electroweak | |
DOI | https://doi.org/10.1051/epjconf/201611203007 | |
Published online | 21 March 2016 |
https://doi.org/10.1051/epjconf/201611203007
New advances in the statistical parton distributions approach*
1 Physics Department, Temple University, 1925 N, 12th Street, Philadelphia, PA 19122–1801, USA
2 Aix Marseille Université, Université de Toulon, CNRS, CPT, UMR 7332 13288, Marseille, Cedex 09, France
a e-mail: jacques.so.er@gmail.com
b e-mail: claude.bourrely@univ-amu.fr
Published online: 21 March 2016
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 many serious challenging issues. The predictions of this theoretical approach will be tested for single-jet production and charge asymmetry in W± production in p̄p and pp collisions up to LHC energies, using recent data and also for forthcoming experimental results.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.