Issue |
EPJ Web Conf.
Volume 164, 2017
5th International Conference on New Frontiers in Physics
|
|
---|---|---|
Article Number | 01005 | |
Number of page(s) | 14 | |
Section | Plenary | |
DOI | https://doi.org/10.1051/epjconf/201716401005 | |
Published online | 05 December 2017 |
https://doi.org/10.1051/epjconf/201716401005
Basic features of proton-proton interactions at ultra-relativistic energies and RFT-based quark-gluon string model
1
Skobeltsyn Institute of Nuclear Physics, Moscow State University, RU-119991 Moscow, Russia
2
Department of Physics, University of Oslo, PB 1048 Blindern, N-0316 Oslo, Norway
3
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute), Kashirskoe highway 31, Moscow, RU-115409, Russia
4
Max-Planck-Institut für Intelligente Systeme, Heisenbergstr. 3, D-70569 Stuttgart, Germany
5
Institut für Augewandte Physik, Universität Tübingen, Auf der Morgenstelle 10, D-72076 Tübingen, Germany
a e-mail: eugen.zabrodin@fys.uio.no
Published online: 5 December 2017
Proton-proton collisions at energies from √s = 200 GeV up to √s = 14 TeV are studied within the microscopic quark-gluon string model. The model is based on Gribov’s Reggeon Field Theory accomplished by string phenomenology. Comparison with experimental data shows that QGSM describes well particle yields, rapidity - and transverse momentum spectra, rise of mean 〈 pT 〉 and forward-backward multiplicity correlations. The latter arise in QGSM because of the addition of various processes with different mean multiplicities. The model also indicates fulfillment of extended longitudinal scaling and violation of Koba-Nielsen-Olesen scaling at LHC. The origin of both features is traced to short-range particle correlations in the strings. Predictions are made for √s = 14 TeV.
© The Authors, published by EDP Sciences, 2017
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. (http://creativecommons.org/licenses/by/4.0/).
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.