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Separation of Quark Flavors Using Deeply Virtual Compton Scattering Data.

Authors :
Čuić, Marija
Kumerički, Krešimir
Schäfer, Andreas
Source :
Physical Review Letters. 12/4/2020, Vol. 125 Issue 23, p1-1. 1p.
Publication Year :
2020

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00319007
Volume :
125
Issue :
23
Database :
Academic Search Index
Journal :
Physical Review Letters
Publication Type :
Academic Journal
Accession number :
147471798
Full Text :
https://doi.org/10.1103/PhysRevLett.125.232005