Papers › Separation of Quark Flavors using DVCS Data

Separation of Quark Flavors using DVCS Data

30 Jun 2020arXiv:2007.00029links table onlyarchive 2025-07-28

Marija Cuic, Kresimir Kumericki, Andreas Schafer

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Using the available data on deeply virtual Compton scattering (DVCS) off protons and utilizing neural networks enhanced by the dispersion relation constraint, we determine six out of eight leading Compton form factors in the valence quark kinematic region. Furthermore, adding recent data on DVCS off neutrons, we separate contributions of up and down quarks to the dominant form factor, thus paving the way towards a three-dimensional picture of the nucleon.

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