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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.
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| Item type | Article | ||||
| Journal or Publication Title | Physical Review Letters | ||||
| Publisher: | AMER PHYSICAL SOC | ||||
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| Open Access Type: | SCOAP3 | ||||
| Place of Publication: | COLLEGE PK | ||||
| Volume: | 125 | ||||
| Number of Issue or Book Chapter: | 23 | ||||
| Page Range: | pp. 232005-1 | ||||
| Date | 2 December 2020 | ||||
| Institutions | Physics > Institute of Theroretical Physics Physics > Institute of Theroretical Physics > Chair Professor Schäfer > Group Andreas Schäfer | ||||
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| Keywords | ; | ||||
| Dewey Decimal Classification | 500 Science > 530 Physics | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-454352 | ||||
| Item ID | 45435 |
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