Shadow generalized parton distributions: a practical approach to the deconvolution problem of DVCS

Jul 23, 2021
7 pages
Published in:
  • SciPost Phys.Proc. 8 (2022) 107
Contribution to:
  • Published: Jul 13, 2022
e-Print:

Citations per year

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Abstract: (SciPost Fundation)
Deeply virtual Compton scattering (DVCS) attracts a lot of interest due to its sensitivity to generalized parton distributions (GPDs) which provide a rich access to the partonic structure of hadrons. However, the practical extraction of GPDs for this channel requires a deconvolution procedure, whose feasibility has been disputed. We provide a practical approach to this problem based on a next-to-leading order analysis and a careful study of evolution effects, by exhibiting shadow GPDs with arbitrarily small imprints on DVCS observables at current and future experimental facilities. This shows that DVCS alone will not allow for a model independent extraction of GPDs and a multi-channel analysis is required for this purpose.
Note:
  • 7 pages, 2 figures, Submission to SciPost Proceedings DIS2021
  • talk
  • higher-order: 1
  • hadron: structure
  • generalized parton distribution
  • deeply virtual Compton scattering
  • data analysis method
  • evolution equation