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The 24th International Spin Symposium

18–22 Oct 2021
Matsue, Shimane Prefecture, Japan
Asia/Tokyo timezone

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Session

Joint GPD - Future session

20 Oct 2021, 16:30
Matsue, Shimane Prefecture, Japan

Matsue, Shimane Prefecture, Japan

Matsue City, Shimane Prefecture, Japan

Conveners

Joint GPD - Future session: Chair: Fabienne Kunne

  • Itaru Nakagawa (RIKEN)
  • Tanja Horn (The Catholic University of America)
  • Wen-Chen Chang (Institute of Physics, Academia Sinica)
  • Marie Boer
  • Yuji Goto (RIKEN)
  • Kenichi Nakano (University of Virginia)

Presentation materials

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  1. 18. Phenomenological assessment of proton mechanical properties from deeply virtual Compton scattering
    Hervé MOUTARDE (IRFU, CEA, Université Paris-Saclay)
    20/10/2021, 16:30
    Form factors and GPDs
    Parallel Session keynote talk (by invitation only)

    A unique feature of generalised parton distributions is their relation to the QCD energy–momentum tensor. In particular, they provide access to the mechanical properties of the proton i.e. the distributions of pressure and shear stress induced by its quark and gluon structure. In principle the pressure distribution can be experimentally determined in a model-independent way from a dispersive...

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  2. 73. Exclusive production of Quarkonia and Heavy Flavors to access gluon Generalized Parton Distributions at EIC
    Tyler Schroeder
    20/10/2021, 17:00
    Form factors and GPDs
    Parallel Session Presentation

    Exclusive heavy meson production is a key tool for accessing the inner dynamics of the proton. These reactions involve the proton Generalized Parton Distributions (GPDs), which correlate the longitudinal momenta and their transverse distribution of the proton’s composite partons. The hard exclusive production of Quarkonia ($J/\psi$, $\Upsilon$, etc.) is particularly interesting, as it accesses...

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  3. 20. Artificial neural network techniques in modelling of GPDs
    Paweł Sznajder (National Centre for Nuclear Research)
    20/10/2021, 17:20
    Form factors and GPDs
    Parallel Session Presentation

    We discuss the use of machine learning techniques for the modeling of generalized parton distributions in view of their nonparametric estimation from experimental data. Current GPD extractions indeed suffer from a model dependence which lessens their impact and brings unknown systematics in the estimation of derived quantities like 3D tomography or angular momentum decomposition. On the...

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  4. 16. Accessing pion GPDs through the Sullivan process: is it feasible?
    Jose Manuel Morgado Chávez (Universidad de Huelva)
    20/10/2021, 17:40
    Form factors and GPDs
    Parallel Session Presentation

    The description of hadronic structure in terms of quark and gluon degrees of freedom is an open subject in physics. Great efforts are being devoted to this subject on both the theoretical and experimental sides. Triggered by existing plans to build new experimental facilities such as the EIC (BNL), and the need to properly interpret the data that are to come, the theoretical interest into the...

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