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Separation of Quark Flavors Using Deeply Virtual Compton Scattering Data.
- 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