Centrality-dependent forward J/ψ production in high energy proton-nucleus collisions
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
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2016Copyright
© 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.
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.
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International Conference on Physics Opportunities at an Electron-Ion ColliderIs part of publication
POETIC VI : Proceedings of the 6th International Conference on Physics Opportunities at an Electron-Ion ColliderISSN Search the Publication Forum
2100-014XPublication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/25631245
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Research Council of FinlandFunding program(s)
Academy Research Fellow, AoFAdditional 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.License
Except where otherwise noted, this item's license is described as © 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.