| Issue |
EPJ Web of Conferences
Volume 172, 2018
XLVII International Symposium on Multiparticle Dynamics (ISMD 2017)
|
|
|---|---|---|
| Article Number | 05008 | |
| Number of page(s) | 6 | |
| Section | Collectivity in high energy collisions: jets, flow and other aspects | |
| DOI | https://doi.org/10.1051/epjconf/201817205008 | |
| Published online | 26 January 2018 | |
https://doi.org/10.1051/epjconf/201817205008
Forward backward multiplicity correlations: a tool to study properties of the proton-proton collisions
Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México. Apartado Postal 70-543, Ciudad de México 04510, México
* e-mail: edgar.dominguez.rosas@cern.ch
** e-mail: ecuautle@nucleares.unam.mx
Published online: 26 January 2018
Forward-backward multiplicity correlations have been used to study hadron production mechanisms in electron-positron, proton-proton and more recently in leadlead collisions. The experimental results on this correlations and its comparison to different models reveals an incomplete agreement. In this work, we present an study of forward backward multiplicity correlations in proton-proton collisions using PYTHIA event generator, at LHC energies. Detailed analysis is presented in the case of soft and hard QCD processes, incorporating color reconnection model as part of hadronization mechanism and multiple parton interactions effects in the correlations. Our results and its comparison to available experimental data suggest that this kind of correlations are great tools to characterize the events and gives the possibility to disentangle phenomena in hard and soft QCD processes.
© The Authors, published by EDP Sciences, 2018
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.