Separation of Quark Flavors Using Deeply Virtual Compton Scattering Data

Cuic, Marija and Kumericki, Kresimir and Schaefer, Andreas (2020) Separation of Quark Flavors Using Deeply Virtual Compton Scattering Data. PHYSICAL REVIEW LETTERS, 125 (23): 232005. ISSN 0031-9007, 1079-7114

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: ;
Subjects: 500 Science > 530 Physics
Divisions: Physics > Institute of Theroretical Physics
Physics > Institute of Theroretical Physics > Chair Professor Schäfer > Group Andreas Schäfer
Depositing User: Dr. Gernot Deinzer
Date Deposited: 05 Mar 2021 09:07
Last Modified: 05 Mar 2021 09:07
URI: https://pred.uni-regensburg.de/id/eprint/43183

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