Separation of Quark Flavors Using Deeply Virtual Compton Scattering Data.

Phys Rev Lett

Institüt für Theoretische Physik, Universität Regensburg, D-93040 Regensburg, Germany.

Published: December 2020

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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http://dx.doi.org/10.1103/PhysRevLett.125.232005DOI Listing

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Article Synopsis
  • Measuring deeply virtual Compton scattering (DVCS) on the neutron is essential for understanding the nucleon's structure through generalized parton distributions (GPDs).
  • Neutron targets help complement data obtained from polarized protons, particularly in determining the poorly understood GPD E, which is crucial for analyzing quark contributions to nucleon spin.
  • The experiment utilized a longitudinally polarized electron beam at Jefferson Lab and the CLAS12 detector to measure DVCS on the neutron for the first time, providing new insights into quark-flavor separation of relevant Compton form factors.
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