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In the framework of Generalised Parton Distributions, we study the helicity-dependent and independent cross sections measured in Hall A and the beam spin asymmetries measured in Hall B at Jefferson Laboratory. We perform a global fit of…

高能物理 - 唯象学 · 物理学 2009-07-30 H. Moutarde

A simple way to extract the Generalized Parton Distribution H(xi,xi,t) at small t from the single beam-spin asymmetry in Deeply Virtual Compton Scattering is proposed. Projections are given for future measurements at the HERMES experiment…

高能物理 - 唯象学 · 物理学 2009-11-07 V. A. Korotkov , W. -D. Nowak

The distribution of the parton content of nuclei, as encoded via the generalized parton distributions (GPDs), can be accessed via the deeply virtual Compton scattering (DVCS) process contributing to the cross section for leptoproduction of…

核实验 · 物理学 2013-07-02 Eric Voutier

The HERMES collaboration has recently published a set of (correlated) beam charge, beam spin and target spin relative asymmetries for the Deeply Virtual Compton Scattering process. This reaction allows in principle to access the Generalized…

高能物理 - 唯象学 · 物理学 2009-12-04 M. Guidal , H. Moutarde

We investigate the exercise of locally extracting the real and imaginary parts of the four twist-2 Compton form factors (CFFs) $\{\mathcal{H},\mathcal{E},\widetilde{\mathcal{H}},\widetilde{\mathcal{E}}\}$ which arise in the deeply virtual…

高能物理 - 唯象学 · 物理学 2022-08-24 Kyle Shiells , Yuxun Guo , Xiangdong Ji

We utilize the DVCS asymmetry measurements of the HERMES collaboration for access to Compton form factors in the deeply virtual regime and to generalized parton distributions. In particular, the (almost) complete measurement of DVCS…

高能物理 - 唯象学 · 物理学 2015-06-12 Kresimir Kumericki , Dieter Mueller , Morgan Murray

We have analyzed the beam spin asymmetry and the longitudinally polarized target spin asymmetry of the Deep Virtual Compton Scattering process, recently measured by the Jefferson Lab CLAS collaboration. Our aim is to extract information…

高能物理 - 唯象学 · 物理学 2014-11-20 M. Guidal

Single-beam, single-target, and double-spin asymmetries for hard exclusive photon production on the proton $\vec{e}\vec{p} \to e' p'\gamma$ are presented. The data were taken at Jefferson Lab using the CLAS detector and a longitudinally…

高能物理 - 实验 · 物理学 2015-03-25 S. Pisano , A. Biselli , S. Niccolai , E. Seder , M. Guidal , M. Mirazita , the CLAS Collaboration

We have analyzed the longitudinally polarized proton target asymmetry data of the Deep Virtual Compton process recently published by the HERMES collaboration in terms of Generalized Parton Distributions. We have fitted these new data in a…

高能物理 - 唯象学 · 物理学 2014-11-21 M. Guidal

We give a partonic interpretation for the deeply virtual Compton scattering (DVCS) measurements of the H1 and ZEUS collaborations in the small-x_B region in terms of generalized parton distributions. Thereby we have a closer look at the…

高能物理 - 唯象学 · 物理学 2015-03-13 Kresimir Kumericki , Dieter Mueller

Over the past two decades, intense experimental efforts have focused on measuring observables that contribute to a three-dimensional description of the nucleon. Generalized Parton Distributions provide complementary insights into the…

核实验 · 物理学 2025-09-24 L. Calero Diaz , D. Keller

Measurements of deeply virtual Compton scattering (DVCS) made at HERMES using 27.6 GeV $e^\pm$ beams and various internal polarized or unpolarized gaseous targets are discussed. Results are reported on the transverse target-spin asymmetry…

高能物理 - 实验 · 物理学 2007-05-23 Zhenyu Ye

We present the results of a fitter code which aims at extracting Compton Form Factors (CFFs) from DVCS (Deep Virtual Compton Scattering) experimental data, in a largely model-independent way. CFFs are linked to GPDs (Generalized parton…

高能物理 - 唯象学 · 物理学 2010-11-19 Michel Guidal

We have generated a parametrization of the Compton form factor (CFF) H based on data from deeply virtual Compton scattering (DVCS) using neural networks. This approach offers an essentially model-independent fitting procedure, which…

高能物理 - 唯象学 · 物理学 2015-05-28 Kresimir Kumericki , Dieter Mueller , Andreas Schafer

We have developped a fitting code based on the leading-twist handbag Deep Virtual Compton Scattering (DVCS) amplitude in order to extract the Generalized Parton Distributions (GPD) information from DVCS observables in the valence region. In…

高能物理 - 唯象学 · 物理学 2008-11-26 M. Guidal

We present the recent data issued from the Halls A and B of Jefferson Laboratory for the Deep Virtual Compton Scattering Process on the proton. An important set of data for beam spin asymmetries, unpolarized cross sections and differences…

高能物理 - 唯象学 · 物理学 2008-12-18 M. Guidal

We report high-precision measurements of the Deeply Virtual Compton Scattering (DVCS) cross section at high values of the Bjorken variable $x_B$. DVCS is sensitive to the Generalized Parton Distributions of the nucleon, which provide a…

高能物理 - 唯象学 · 物理学 2022-07-13 F. Georges , M. N. H. Rashad , A. Stefanko , M. Dlamini , B. Karki , S. F. Ali , P-J. Lin , H-S Ko , N. Israel , D. Adikaram , Z. Ahmed , H. Albataineh , B. Aljawrneh , K. Allada , S. Allison , S. Alsalmi , D. Androic , K. Aniol , J. Annand , H. Atac , T. Averett , C. Ayerbe Gayoso , X. Bai , J. Bane , S. Barcus , K. Bartlett , V. Bellini , R. Beminiwattha , J. Bericic , D. Biswas , E. Brash , D. Bulumulla , J. Campbell , A. Camsonne , M. Carmignotto , J. Castellano , C. Chen , J-P. Chen , T. Chetry , M. E. Christy , E. Cisbani , B. Clary , E. Cohen , N. Compton , J. C. Cornejo , S. Covrig Dusa , B. Crowe , S. Danagoulian , T. Danley , F. De Persio , W. Deconinck , M. Defurne , C. Desnault , D. Di , M. Duer , B. Duran , R. Ent , C. Fanelli , G. Franklin , E. Fuchey , C. Gal , D. Gaskell , T. Gautam , O. Glamazdin , K. Gnanvo , V. M. Gray , C. Gu , T. Hague , G. Hamad , D. Hamilton , K. Hamilton , O. Hansen , F. Hauenstein , W. Henry , D. W. Higinbotham , T. Holmstrom , T. Horn , Y. Huang , G. M. Huber , C. Hyde , H. Ibrahim , C-M. Jen , K. Jin , M. Jones , A. Kabir , C. Keppel , V. Khachatryan , P. M. King , S. Li , W. B. Li , J. Liu , H. Liu , A. Liyanage , J. Magee , S. Malace , J. Mammei , P. Markowitz , E. McClellan , M. Mazouz , F. Meddi , D. Meekins , K. Mesik , R. Michaels , A. Mkrtchyan , R. Montgomery , C. Muñoz Camacho , L. S. Myers , P. Nadel-Turonski , S. J. Nazeer , V. Nelyubin , D. Nguyen , N. Nuruzzaman , M. Nycz , O. F. Obretch , L. Ou , C. Palatchi , B. Pandey , S. Park , K. Park , C. Peng , R. Pomatsalyuk , E. Pooser , A. J. R. Puckett , V. Punjabi , B. Quinn , S. Rahman , P. E. Reimer , J. Roche , I. Sapkota , A. Sarty , B. Sawatzky , N. H. Saylor , B. Schmookler , M. H. Shabestari , A. Shahinyan , S. Sirca , G. R. Smith , S. Sooriyaarachchilage , N. Sparveris , R. Spies , T. Su , A. Subedi , V. Sulkosky , A. Sun , L. Thorne , Y. Tian , N. Ton , F. Tortorici , R. Trotta , G. M. Urciuoli , E. Voutier , B. Waidyawansa , Y. Wang , B. Wojtsekhowski , S. Wood , X. Yan , L. Ye , Z. Ye , C. Yero , J. Zhang , Y. Zhao , P. Zhu

We report measurements of the beam spin asymmetry in Deeply Virtual Compton Scattering (DVCS) at an electron beam energy of 4.8 GeV using the CLAS detector at the Thomas Jefferson National Accelerator Facility. The DVCS beam spin asymmetry…

高能物理 - 实验 · 物理学 2019-08-13 G. Gavalian

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…

核实验 · 物理学 2009-09-24 F. Sabatie

Deeply virtual Compton scattering (DVCS) allows one to probe Generalized Parton Distributions (GPDs) describing the 3D structure of the nucleon. We report the first measurement of the DVCS beam-spin asymmetry using the CLAS12 spectrometer…

高能物理 - 实验 · 物理学 2022-12-05 CLAS Collaboration , G. Christiaens , M. Defurne , D. Sokhan , P. Achenbach , Z. Akbar , M. J. Amaryan , H. Atac , H. Avakian , C. Ayerbe Gayoso , L. Baashen , N. A. Baltzell , L. Barion , M. Bashkanov , M. Battaglieri , I. Bedlinskiy , B. Benkel , F. Benmokhtar , A. Bianconi , A. S. Biselli , M. Bondi , W. A. Booth , F. Bossù , S. Boiarinov , K. -Th. Brinkmann , W. J. Briscoe , S. Bueltmann , D. Bulumulla , V. D. Burkert , T. Cao , D. S. Carman , J. C. Carvajal , A. Celentano , P. Chatagnon , V. Chesnokov , T. Chetry , G. Ciullo , G. Clash , P. L. Cole , M. Contalbrigo , G. Costantini , A. D'Angelo , N. Dashyan , R. De Vita , A. Deur , S. Diehl , C. Dilks , C. Djalali , R. Dupre , H. Egiyan , M. Ehrhart , A. El Alaoui , L. El Fassi , L. Elouadrhiri , S. Fegan , A. Filippi , K. Gates , G. Gavalian , Y. Ghandilyan , G. P. Gilfoyle , F. X. Girod , D. I. Glazier , A. A. Golubenko , G. Gosta , R. W. Gothe , Y. Gotra , K. A. Griffioen , M. Guidal , K. Hafidi , H. Hakobyan , M. Hattawy , F. Hauenstein , T. B. Hayward , D. Heddle , A. Hobart , D. E. Holmberg , M. Holtrop , Y. Ilieva , D. G. Ireland , E. L. Isupov , H. S. Jo , M. L. Kabir , D. Keller , M. Khachatryan , A. Khanal , W. Kim , A. Kripko , V. Kubarovsky , S. E. Kuhn , V. Lagerquist , L. Lanza , M. Leali , S. Lee , P. Lenisa , X. Li , K. Livingston , I . J . D. MacGregor , D. Marchand , V. Mascagna , G. Matousek , B. McKinnon , C. McLauchlin , Z. E. Meziani , S. Migliorati , R. G. Milner , T. Mineeva , M. Mirazita , V. Mokeev , E. Molina , C. Munoz Camacho , P. Nadel-Turonski , P. Naidoo , K. Neupane , S. Niccolai , M. Nicol , G. Niculescu , M. Osipenko , M. Ouillon , P. Pandey , M. Paolone , L. L. Pappalardo , R. Paremuzyan , E. Pasyuk , S. J. Paul , W. Phelps , N. Pilleux , M. Pokhrel , J. Poudel , J. W. Price , Y. Prok , A. Radic , N. Ramasubramanian , B. A. Raue , T. Reed , J. Richards , M. Ripani , J. Ritman , P. Rossi , F. Sabatié , C. Salgado , S. Schadmand , A. Schmidt , M. B. C. Scott , Y. G. Sharabian , E. V. Shirokov , U. Shrestha , P. Simmerling , N. Sparveris , M. Spreafico , S. Stepanyan , I. I. Strakovsky , S. Strauch , J. A. Tan , N. Trotta , M. Turisini , R. Tyson , M. Ungaro , S. Vallarino , L. Venturelli , H. Voskanyan , E. Voutier , D. P. Watts , X. Wei , R. Williams , R. Wishart , M. H. Wood , N. Zachariou , J. Zhang , Z. W. Zhao , V. Ziegler , M. Zurek
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