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Čuić, Marija ; Kumerički, Krešimir ; Schäfer, Andreas

Separation of Quark Flavors Using Deeply Virtual Compton Scattering Data

Čuić, Marija, Kumerički, Krešimir and Schäfer, Andreas (2020) Separation of Quark Flavors Using Deeply Virtual Compton Scattering Data. Physical Review Letters 125 (23), pp. 232005-1.

Date of publication of this fulltext: 01 Apr 2021 13:19
Article
DOI to cite this document: 10.5283/epub.45435


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.



Involved Institutions


Details

Item typeArticle
Journal or Publication TitlePhysical Review Letters
Publisher:AMER PHYSICAL SOC
Open Access Type:SCOAP3
Place of Publication:COLLEGE PK
Volume:125
Number of Issue or Book Chapter:23
Page Range:pp. 232005-1
Date2 December 2020
InstitutionsPhysics > Institute of Theroretical Physics
Physics > Institute of Theroretical Physics > Chair Professor Schäfer > Group Andreas Schäfer
Identification Number
ValueType
10.1103/PhysRevLett.125.232005DOI
Keywords;
Dewey Decimal Classification500 Science > 530 Physics
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-454352
Item ID45435

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