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Related papers: GPD Physics With Polarized Muon Beams at COMPASS-I…

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The key reactions to study the Generalised Parton Distributions are Deeply Virtual Compton Scattering (DVCS) and Deeply Virtual Meson Production (DVMP). At COMPASS, these processes are investigated using a high intensity muon beam with a…

High Energy Physics - Experiment · Physics 2017-02-22 P. Joerg

This paper presents the reactions which can be performed at COMPASS to study the Generalized Parton Distributions (GPDs). The high energy muon beam at CERN allows to measure Hard Exclusive Meson Production or Deeply Virtual Compton…

High Energy Physics - Experiment · Physics 2007-05-23 N. d'Hose , E. Burtin , P. A. M. Guichon , J. Marroncle , M. Moinester , J. Pochodzalla , A. Sandacz

COMPASS at CERN is preparing for a new series of measurements on the nucleon structure comprising deep virtual Compton scattering and hard exclusive meson production using muon beams, as well as Drell-Yan reactions using a polarised proton…

High Energy Physics - Experiment · Physics 2012-06-14 Gerhard K. Mallot

The 160 GeV polarised muon beam available at CERN, with positive or negative charge, makes COMPASS a unique place for GPD studies. The first GPD related COMPASS results come from exclusive vector meson production on transversely polarised…

High Energy Physics - Experiment · Physics 2015-09-28 Andrzej Sandacz

Double Deeply Virtual Compton Scattering (DDVCS) is the only experimental channel for the determination of the dependence of the Generalized Parton Distributions (GPDs) on both the average and the transferred momentum independently. The…

Nuclear Experiment · Physics 2021-12-20 S. Zhao , A. Camsonne , D. Marchand , M. Mazouz , N. Sparveris , S. Stepanyan , E. Voutier , Z. W. Zhao

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

Double deeply virtual Compton scattering (DDVCS) is a very precise tool for the nucleon tomography. Its measurement requires high luminosity electron beams and precise dedicated detectors, since its amplitude is quite small in the…

High Energy Physics - Phenomenology · Physics 2024-01-25 K. Deja , V. Martinez-Fernandez , B. Pire , P. Sznajder , J. Wagner

At COMPASS DVCS and DVMP processes are studied in order to probe the partonic structure of the nucleon by constraining GPD models. Extending beyond semi-inclusive deep inelastic scattering, the measurement of lepton-induced exclusive…

High Energy Physics - Experiment · Physics 2017-02-22 Matthias Gorzellik

Generalized parton distributions (GPDs) provide a new and powerful framework for a complete description of the nucleon structure. They can provide a three-dimensional picture of how the quarks and gluons form a nucleon. GPDs can be probed…

High Energy Physics - Experiment · Physics 2019-08-13 C. Schill

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

Study of the structure and dynamics of the nucleon has been deeply renewed with the advent of a parameterization of the partonic structure of the nucleon in terms of the Generalized Parton Distributions (GPDs). Encoding the correlations…

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

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

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

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

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

Measuring DVCS on a neutron target is a necessary step to deepen our understanding of the structure of the nucleon in terms of Generalized Parton Distributions (GPDs). The combination of neutron and proton targets allows to perform a flavor…

In 2016 and 2017, the COMPASS Collaboration at CERN collected a large sample of DIS events with a longitudinally polarized 160 GeV/c muon beam scattering off a liquid hydrogen target. Part of the collected data has been analyzed to extract…

High Energy Physics - Experiment · Physics 2021-07-23 Andrea Moretti

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
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