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Generalized Parton Distributions in the valence region from Deeply Virtual Compton Scattering

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arxiv 1303.6600 v3 pith:L6QDFTFD submitted 2013-03-23 hep-ph

Generalized Parton Distributions in the valence region from Deeply Virtual Compton Scattering

classification hep-ph
keywords gpdscomptondeeplydistributionsfieldgeneralizedpartonregion
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This work reviews the recent developments in the field of Generalized Parton Distributions (GPDs) and Deeply virtual Compton scattering in the valence region, which aim at extracting the quark structure of the nucleon. We discuss the constraints which the present generation of measurements provide on GPDs, and examine several state-of-the-art parametrizations of GPDs. Future directions in this active field are discussed.

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Cited by 2 Pith papers

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  1. Constraining DVCS Compton Form Factors Using Lattice QCD informed Neural Network

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    A neural network framework informed by lattice QCD uses all-order dispersion relations to significantly constrain both real and imaginary parts of Compton Form Factors extracted from DVCS proton data.

  2. Toward selective quantum advantage in hadronic tomography:explicit cases from Compton form factors, GPDs, TMDs, and GTMDs

    hep-ph 2026-04 unverdicted novelty 4.0

    Quantum advantage in hadronic tomography should be evaluated selectively for CFFs, GPDs, TMDs, and GTMDs because their light-front and real-time correlation functions create ill-posed inverse problems that quantum alg...