Next-to-leading order perturbative QCD predictions for exclusive J/ψ photoproduction in oxygen-oxygen and lead-lead collisions at energies available at the CERN Large Hadron Collider
Eskola, K. J., Flett, C. A., Guzey, V., Löytäinen, T., & Paukkunen, H. (2023). Next-to-leading order perturbative QCD predictions for exclusive J/ψ photoproduction in oxygen-oxygen and lead-lead collisions at energies available at the CERN Large Hadron Collider. Physical Review C, 107(4), Article 044912. https://doi.org/10.1103/PhysRevC.107.044912
Published inPhysical Review C
© 2023 the Authors
We present predictions for the cross sections of coherent J/ψ photoproduction in lead-lead and oxygen-oxygen ultraperipheral collisions (UPCs) as a function of the J/ψ rapidity at the LHC in the framework of collinear factorization at next-to-leading order (NLO) in perturbative QCD. Taking generalized parton distribution functions in their forward limit and using the EPPS21, nNNPDF3.0, and nCTEQ15WZSIH nuclear parton distribution functions, we update our recent results for Pb-Pb collisions, make detailed predictions for O-O collisions for several beam energy configurations, and examine the ratio of O-O and Pb-Pb UPC cross sections. We show that the latter observable allows one to significantly reduce the scale uncertainty of NLO predictions for this process.
PublisherAmerican Physical Society (APS)
Publication in research information system
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Related funder(s)Academy of Finland
Funding program(s)Academy Project, AoF; Academy Research Fellow, AoF; Centre of Excellence, AoF
Additional information about fundingWe acknowledge the helpful discussions with I. Helenius, H. Mäntysaari, and J. Penttala. We acknowledge the financial support from the Magnus Ehrnrooth foundation (T.L.), the Academy of Finland Projects No. 308301 (H.P.) and No. 330448 (K.J.E.). This research was funded as a part of the Center of Excellence in Quark Matter of the Academy of Finland (Projects No. 346325 and No. 346326). This research is part of the European Research Council Project No. ERC-2018-ADG-835105 YoctoLHC. ...
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