Separation of Quark Flavors Using Deeply Virtual Compton Scattering Data
Marija Čuić, Krešimir Kumerički, Andreas Schäfer
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.
Topics & Concepts
Compton scatteringPhysicsParticle physicsQuarkValence (chemistry)NucleonNuclear physicsNeutronScatteringDispersion relationOpticsQuantum mechanicsElectronQuantum Chromodynamics and Particle InteractionsParticle physics theoretical and experimental studiesHigh-Energy Particle Collisions Research