The dipole picture and the non-relativistic expansion
Escobedo, M. A., & Lappi, T. (2020). The dipole picture and the non-relativistic expansion. In Light Cone 2019 : QCD on the light cone : from hadrons to heavy ions (Article 039). Sissa. POS Proceedings of Science, 374. https://doi.org/10.22323/1.374.0039
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2020Copyright
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We study exclusive quarkonium production in the dipole picture at next-to-leading order (NLO) accuracy, using the non-relativistic expansion for the quarkonium wavefunction. This process offers one of the best ways to obtain information about gluon distributions at small x, in ultraperipheral heavy ion collisions and in deep inelastic scattering. The quarkonium light cone wave functions needed in the dipole picture have typically been available only at tree level, either in phenomenological models or in the nonrelativistic limit. In this paper, we discuss the compatibility of the dipole approach and the non-relativistic expansion and compute NLO relativistic corrections to the quarkonium light-cone wave function in light-cone gauge. Using these corrections we recover results for the NLO decay width of quarkonium to e+e− and we check that the non-relativistic expansion is consistent with ERBL evolution and with B-JIMWLK evolution of the target. The results presented here will allow computing the exclusive quarkonium production rate at NLO once the one loop photon wave function with massive quarks, currently under investigation, is known.
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SissaConference
Light Cone ConferenceIs part of publication
Light Cone 2019 : QCD on the light cone : from hadrons to heavy ionsISSN Search the Publication Forum
1824-8039Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/47723066
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Research Council of Finland; European CommissionFunding program(s)
Academy Project, AoF; Research costs of Academy Research Fellow, AoF; ERC European Research Council, H2020; Academy Research Fellow, AoF
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Additional information about funding
This work has been supported by the Academy of Finland, projects No. 267321, 303756 and No. 321840 and by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No ERC-2015-CoG-681707). The work of M.A.E. was supported by the Academy of Finland project 297058, by Ministerio de Ciencia e Innovacion of Spain under project FPA2017-83814-P and Maria de Maetzu Unit of Excellence MDM-2016- 0692, by Xunta de Galicia and FEDER. The content of this article does not reflect the official opinion of the European Union and responsibility for the information and views expressed therein lies entirely with the authors. ...License
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