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Working at twist 2 accuracy and assuming the dominance of the Generalized Parton Distribution H we study the helicity-dependent and independent cross sections measured in Hall A, the beam spin asymmetries measured in Hall B at Jefferson…

高能物理 - 唯象学 · 物理学 2015-05-20 H. Moutarde

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

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

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

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

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

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 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 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 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 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

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

The CLAS and Hall A collaborations at Jefferson Laboratory have recently released new results for the ep->ep{\gamma} reaction. We analyze these new data within the Generalized Parton Distribution formalism. Employing a fitter algorithm…

高能物理 - 唯象学 · 物理学 2017-09-13 Raphaël Dupré , Michel Guidal , Silvia Niccolai , Marc Vanderhaeghen

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…

高能物理 - 唯象学 · 物理学 2025-09-16 J. S. Alvarado , M. Hoballah , E. 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…

高能物理 - 实验 · 物理学 2017-08-23 F. Sabatie

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

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…

核实验 · 物理学 2015-10-16 Angela Biselli

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 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
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