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Forward J/ψ production at high energy: Centrality dependence and mean transverse momentum

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Ducloue, B., Lappi, T., & Mäntysaari, H. (2016). Forward J/ψ production at high energy: Centrality dependence and mean transverse momentum. Physical Review D, 94(7), Article 074031. https://doi.org/10.1103/PhysRevD.94.074031
Published in
Physical Review D
Authors
Ducloue, Bertrand |
Lappi, Tuomas |
Mäntysaari, Heikki
Date
2016
Copyright
© 2016 American Physical Society. Published in this repository with the kind permission of the publisher.

 
Forward rapidity J=ψ meson production in proton-nucleus collisions can be an important constraint of descriptions of the small-x nuclear wave function. In an earlier work we studied this process using a dipole cross section satisfying the Balitsky-Kovchegov equation, fit to HERA inclusive data and consistently extrapolated to the nuclear case using a standard Woods-Saxon distribution. In this paper we present further calculations of these cross sections, studying the mean transverse momentum of the meson and the dependence on collision centrality. We also extend the calculation to backward rapidities using nuclear parton distribution functions. We show that the parametrization is overall rather consistent with the available experimental data. However, there is a tendency towards a too strong centrality dependence. This can be traced back to the rather small transverse area occupied by small-x gluons in the nucleon that is seen in the HERA data, compared to the total inelastic nucleon-nucleon cross section. ...
Publisher
American Physical Society
ISSN Search the Publication Forum
1550-7998
Keywords
proton-nucleus collisions J/psi mesons
DOI
https://doi.org/10.1103/PhysRevD.94.074031
URI

http://urn.fi/URN:NBN:fi:jyu-201611174649

Publication in research information system

https://converis.jyu.fi/converis/portal/detail/Publication/26316702

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  • Matemaattis-luonnontieteellinen tiedekunta [4954]
Related funder(s)
Academy of Finland
Funding program(s)
Academy Research Fellow, AoF
Additional information about funding
T. L. and B. D. are supported by the Academy of Finland, Grants No. 267321 and No. 273464. H. M. is supported under DOE Award No. DE-SC0012704. This research used computing resources of CSC—IT Center for Science in Espoo, Finland. We thank C. Hadjidakis and I. Lakomov for discussions on the ALICE data.

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