Centrality-dependent forward J/ψ production in high energy proton-nucleus collisions
Abstract
Forward J/ψ production and suppression in high energy proton-nucleus collisions
can be an important probe of gluon saturation. In an earlier work we studied this
process in the Color Glass Condensate framework and showed that using the Glauber
approach to extrapolate the dipole cross section of a proton to a nucleus leads to results
closer to experimental data than previous calculations in this framework. Here we investigate
the centrality dependence of the nuclear suppression in this model and show a
comparison of our results with recent LHC data.
Main Authors
Format
Conferences
Conference paper
Published
2016
Series
Subjects
Publication in research information system
Publisher
EDP Sciences
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201604011982Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
2100-014X
DOI
https://doi.org/10.1051/epjconf/201611204002
Conference
International Conference on Physics Opportunities at an Electron-Ion Collider
Language
English
Published in
EPJ Web of Conferences
Is part of publication
POETIC VI : Proceedings of the 6th International Conference on Physics Opportunities at an Electron-Ion Collider
Citation
- Ducloue, B., Lappi, T., & Mäntysaari, H. (2016). Centrality-dependent forward J/ψ production in high energy proton-nucleus collisions. In C. Marquet, B. Pire, & F. Sabatie (Eds.), POETIC VI : Proceedings of the 6th International Conference on Physics Opportunities at an Electron-Ion Collider (Article 04002). EDP Sciences. EPJ Web of Conferences, 112. https://doi.org/10.1051/epjconf/201611204002
License
Funder(s)
Research Council of Finland
Funding program(s)
Akatemiatutkija, SA
Academy Research Fellow, AoF
Additional information about funding
T. L. and B. D. are supported by the Academy of Finland, projects 267321 and 273464. H. M. is supported under DOE Contract No. DE-SC0012704. This research used computing resources of CSC – IT Center for Science in Espoo, Finland. We would like to thank C. Hadjidakis and I. Lakomov for discussions on the ALICE data.
Copyright© Owned by the authors, published by EDP Sciences, 2016. This is an open-access article distributed under the terms of the Creative Commons Attribution Licence 4.0.