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Coherent J/ψ Electroproduction on
Guzey, Vadim; Rinaldi, Matteo; Scopetta, Sergio; Strikman, Mark; Viviani, Michele.
Afiliação
  • Guzey V; National Research Center "Kurchatov Institute," Petersburg Nuclear Physics Institute (PNPI),Gatchina, 188300, Russia.
  • Rinaldi M; Dipartimento di Fisica e Geologia, Università degli Studi di Perugia and Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, via A. Pascoli, I-06123 Perugia, Italy.
  • Scopetta S; Dipartimento di Fisica e Geologia, Università degli Studi di Perugia and Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, via A. Pascoli, I-06123 Perugia, Italy.
  • Strikman M; Pennsylvania State University, University Park, Pennsylvania, 16802, USA.
  • Viviani M; INFN-Pisa, 56127 Pisa, Italy.
Phys Rev Lett ; 129(24): 242503, 2022 Dec 09.
Article em En | MEDLINE | ID: mdl-36563277
ABSTRACT
While the phenomenon of gluon nuclear shadowing at small x has been getting confirmation in QCD analyses of various LHC measurements involving heavy nuclei, it has not been possible so far to establish experimentally the number of target nucleons responsible for nuclear shadowing in a given process. To address this issue, we study coherent J/ψ electroproduction on ^{4}He and ^{3}He in the kinematics of a future electron-ion collider and show that this process has the power to disentangle the contributions of the interaction with a specific number of nucleons k, in particular, with two nucleons at the momentum transfer t≠0. We predict a dramatic shift of the t dependence of the differential cross section toward smaller values of |t| due to a nontrivial correlation between x and k. This calculation, which makes use for the first time of realistic wave functions, provides a stringent test of models of nuclear shadowing and a novel probe of the 3D imaging of gluons in light nuclei. In addition, thanks to this analysis, unique information on the real part of the corresponding scattering amplitude could be accessed.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article