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The generalized parton distributions (GPDs) provide a new description of the complex internal structure of the nucleon in terms of its elementary constituents, the quarks and the gluons. The GPDs describe the correlation between the…

Nuclear Experiment · Physics 2012-07-17 Hyon-Suk Jo

This report reviews the recent experimental results from the CLAS collaboration (Hall B of Jefferson Lab, or JLab) on Deeply Virtual Compton Scattering (DVCS) and Deeply Virtual Meson Production (DVMP) and discusses their interpretation in…

Nuclear Experiment · Physics 2015-06-03 Hyon-Suk Jo

The generalized parton distributions (GPDs) have emerged as a universal tool to describe hadrons in terms of their elementary constituents, the quarks and the gluons. Deeply virtual Compton scattering (DVCS) on a proton or neutron ($N$), $e…

Nuclear Experiment · Physics 2015-10-16 Angela Biselli

The deeply virtual Compton scattering reaction has been investigated in the Hall A of the Jefferson Laboratory by measuring longitudinally polarized (e,e'gamma) cross sections, in the valence quark region, for protons and neutrons. In the…

Nuclear Experiment · Physics 2007-09-28 Eric Voutier

The Generalized Parton Distributions (GPD) have drawn a lot of interest from the theoretical community since 1997, but also from the experimental community and especially at Jefferson Lab. First, the results for Deeply Virtual Compton…

High Energy Physics - Experiment · Physics 2017-08-23 F. Sabatie

Deeply virtual Compton scattering (DVCS) is the golden exclusive channel for the study of the partonic structure of hadrons, within the universal framework of generalized parton distributions (GPDs). This paper presents the aim and general…

Nuclear Experiment · Physics 2008-09-24 Eric Voutier

Measuring Deeply Virtual Compton Scattering on the neutron is one of the necessary steps to understand the structure of the nucleon in terms of Generalized Parton Distributions (GPDs). Neutron targets play a complementary role to…

High Energy Physics - Experiment · Physics 2024-06-26 CLAS Collaboration , A. Hobart , S. Niccolai , M. Čuić , K. Kumerički , P. Achenbach , J. S. Alvarado , W. R. Armstrong , H. Atac , H. Avakian , L. Baashen , N. A. Baltzell , L. Barion , M. Bashkanov , M. Battaglieri , B. Benkel , F. Benmokhtar , A. Bianconi , A. S. Biselli , S. Boiarinov , M. Bondi , W. A. Booth , F. Bossù , K. -Th. Brinkmann , W. J. Briscoe , W. K. Brooks , S. Bueltmann , V. D. Burkert , T. Cao , R. Capobianco , D. S. Carman , P. Chatagnon , G. Ciullo , P. L. Cole , M. Contalbrigo , A. D'Angelo , N. Dashyan , R. De Vita , M. Defurne , A. Deur , S. Diehl , C. Dilks , C. Djalali , R. Dupre , H. Egiyan , A. El Alaoui , L. El Fassi , L. Elouadrhiri , S. Fegan , A. Filippi , C. Fogler , K. Gates , G. Gavalian , G. P. Gilfoyle , D. Glazier , R. W. Gothe , Y. Gotra , M. Guidal , K. Hafidi , H. Hakobyan , M. Hattawy , F. Hauenstein , D. Heddle , M. Holtrop , Y. Ilieva , D. G. Ireland , E. L. Isupov , H. Jiang , H. S. Jo , K. Joo , T. Kageya , A. Kim , W. Kim , V. Klimenko , A. Kripko , V. Kubarovsky , S. E. Kuhn , L. Lanza , M. Leali , S. Lee , P. Lenisa , X. Li , I. J. D. MacGregor , D. Marchand , V. Mascagna , M. Maynes , B. McKinnon , Z. E. Meziani , S. Migliorati , R. G. Milner , T. Mineeva , M. Mirazita , V. Mokeev , C. Muñoz Camacho , P. Nadel-Turonski , P. Naidoo , K. Neupane , G. Niculescu , M. Osipenko , P. Pandey , M. Paolone , L. L. Pappalardo , R. Paremuzyan , E. Pasyuk , S. J. Paul , W. Phelps , N. Pilleux , M. Pokhrel , S. Polcher Rafael , J. Poudel , J. W. Price , Y. Prok , T. Reed , J. Richards , M. Ripani , J. Ritman , P. Rossi , A. A. Golubenko , C. Salgado , S. Schadmand , A. Schmidt , Marshall B. C. Scott , E. M. Seroka , Y. G. Sharabian , E. V. Shirokov , U. Shrestha , N. Sparveris , M. Spreafico , S. Stepanyan , I. I. Strakovsky , S. Strauch , J. A. Tan , N. Trotta , R. Tyson , M. Ungaro , S. Vallarino , L. Venturelli , V. Tommaso , H. Voskanyan , E. Voutier , D. P Watts , X. Wei , R. Williams , M. H. Wood , L. Xu , N. Zachariou , J. Zhang , Z. W. Zhao , M. Zurek

Generalized Parton Distributions (GPDs) are multidimensional structure functions of hadrons, encoding mechanical and spin properties through the correlation of the momentum and transverse position of partons. While channels like Deeply…

High Energy Physics - Phenomenology · Physics 2025-09-16 J. S. Alvarado , M. Hoballah , E. Voutier

This paper focuses on a measurement of deeply virtual Compton scattering (DVCS) performed at Jefferson Lab using a nearly-6-GeV polarized electron beam, two longitudinally polarized (via DNP) solid targets of protons (NH3) and deuterons…

Nuclear Experiment · Physics 2019-08-13 Silvia Niccolai

We systematically evaluate observables for hard exclusive electroproduction of real photons and compare them to experiment using a set of Generalized Parton Distributions (GPDs) whose parameters are constrained by Deeply Virtual Meson…

High Energy Physics - Phenomenology · Physics 2025-01-08 Peter Kroll , Hervé Moutarde , Franck Sabatié

The measurement of nuclear generalized parton distributions (GPDs) in hard exclusive processes, such as deeply virtual Compton Scattering (DVCS), will be one of the main achievements of a new generation of experiments at high luminosity,…

Nuclear Theory · Physics 2021-02-03 Sara Fucini , Matteo Rinaldi , Sergio Scopetta

Generalized Parton Distributions (GPDs) have emerged over the 1990s as a powerful concept and tool to study nucleon structure. They provide nucleon tomography from the correlation between transverse position and longitudinal momentum of…

High Energy Physics - Phenomenology · Physics 2021-02-03 Shengying Zhao , Eric Voutier

The Generalized Parton Distributions (GPDs) constitute an appropriate framework for a universal description of the partonic structure of the nucleon. Double Deeply Virtual Compton Scattering (DDVCS) process provides the only experimental…

High Energy Physics - Phenomenology · Physics 2019-12-16 Shengying Zhao

Generalized Parton Distributions (GPDs) are multidimensonal structure functions that encode the information about the internal structure of hadrons. Using privileged channels such as Deeply Virtual Compton Scattering (DVCS) or Timelike…

Nuclear Experiment · Physics 2024-12-05 J. S. Alvarado , M. Hoballah , E. Voutier

In the context of nucleon structure studies, Generalized Parton Distributions (GPDs) are crucial for understanding the correlation between the longitudinal momentum and the transverse position of partons inside the nucleon. A privileged…

High Energy Physics - Experiment · Physics 2025-09-16 J. S. Alvarado , M. Hoballah , E. Voutier

After about 10 years of growing interest for Generalized Parton Distributions come the first results from dedicated experiments, using the golden Deeply Virtual Compton Scattering process. After a short introduction, we will explain the…

Nuclear Experiment · Physics 2009-09-24 F. Sabatie

The present experiment exploits the interference between the Deeply Virtual Compton Scattering (DVCS) and the Bethe-Heitler processes to extract the imaginary part of DVCS amplitudes on the neutron and on the deuteron from the…

Nuclear Experiment · Physics 2019-08-13 M. Mazouz , A. Camsonne , C. Muñoz Camacho

Double Deeply Virtual Compton Scattering (DDVCS) is a promising channel for Generalized Parton Distribution (GPD) studies as it is a generalization of the Deeply Virtual Compton Scattering (DVCS) and Timelike Compton Scattering (TCS)…

High Energy Physics - Phenomenology · Physics 2025-02-05 J. S. Alvarado , M. Hoballah , E. Voutier

Generalized parton distributions provide a unifying framework for the interpretation of exclusive reactions at high $Q^2$. The most promising reaction for the investigation of these distributions is the hard production of photons using…

Nuclear Experiment · Physics 2014-11-18 Elton S. Smith

We review briefly the physical concept of generalized parton distributions and the experimental challenges associated with the corresponding measurements of deep exclusive reactions.The first data obtained at Jefferson Lab for exclusive…

High Energy Physics - Experiment · Physics 2014-11-17 Michel Garçon
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