Deconvolution problem of deeply virtual Compton scattering

Bertone, Valerio; Dutrieux, H.; Mezrag, Cédric; Moutarde, H.; Sznajder, P.

doi:10.1103/physrevd.103.114019

Cited by 57 publications

(37 citation statements)

References 41 publications

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“…Multi-channel analyses are necessary because they constitute universality checks of GPDs, provide different handles on the partonic content of the nucleon, and may avoid the aforementioned uniqueness issue of the DVCS deconvolution problem [283]. Most of the existing data come either from DVCS or DVMP.…”

Section: Hard Exclusive Processes and Multi-channel Analysismentioning

confidence: 99%

Snowmass 2021 White Paper: Electron Ion Collider for High Energy Physics

Khalek,

D'Alesio,

Arratia

et al. 2022

Preprint

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Electron Ion Collider (EIC) is a particle accelerator facility planned for construction at Brookhaven National Laboratory on Long Island, New York by the United States Department of Energy. EIC will provide capabilities of colliding beams of polarized electrons with polarized beams of proton and light ions. EIC will be one of the largest and most sophisticated new accelerator facilities worldwide, and the only new large-scale accelerator facility planned for construction in the United States in the next few decades. The versatility, resolving power and intensity of EIC will present many new opportunities to address some of the crucial and fundamental open scientific questions in particle physics. This document provides an overview of the science case of EIC from the perspective of the high energy physics community.

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Section: Hard Exclusive Processes and Multi-channel Analysismentioning

confidence: 99%

Snowmass 2021 White Paper: Electron Ion Collider for High Energy Physics

Khalek,

D'Alesio,

Arratia

et al. 2022

Preprint

Self Cite

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“…This term is crucial for the comparison of GPD models with experimental data available today. The second term, (x 2 − ξ 2 )F S (β, α), gives a "shadow" contribution, which vanishes for both ξ = 0 and ξ = x [24]. As we will see, its inclusion is important for a proper estimation of model uncertainties when GPDs are constrained by a sparse set of data.…”

Section: Principles Of Modellingmentioning

confidence: 97%

“…In order to fully benefit from available sources of information about GPDs, such as data collected in exclusive measurements, PDFs and EFFs for boundary conditions, lattice QCD, one needs to know and implement links connecting those sources with GPDs. The extraction of GPDs requires a deconvolution of amplitudes measured in exclusive processes, which is not trivial and in some cases does not even possess a unique solution [24]. Both the evolution of GPDs and the description of exclusive processes must be understood to a level allowing for a robust extraction.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network modelling of generalised parton distributions

et al. 2022

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We discuss the use of machine learning techniques in effectively nonparametric modelling of generalised parton distributions (GPDs) in view of their future extraction from experimental data. Current parameterisations of GPDs suffer from model dependency that lessens their impact on phenomenology and brings unknown systematics to the estimation of quantities like Mellin moments. The new strategy presented in this study allows to describe GPDs in a way fulfilling theory-driven constraints, keeping model dependency to a minimum. Getting a better grip on the control of systematic effects, our work will help the GPD phenomenology to achieve its maturity in the precision era commenced by the new generation of experiments.

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“…in Refs. [42][43][44]. The prime experimental channels for studying the GPDs are through the DVCS (Deeply Virtual Compton Scattering) and DEMP (Deep Exclusive Meson Production) processes.…”

Section: From Gpds To Tdasmentioning

confidence: 99%

Progress and Opportunities in Backward angle (u-channel) Physics

Gayoso,

Bibrzycki,

Diehl

et al. 2021

Preprint

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Backward angle (u-channel) scattering provides complementary information for studies of hadron spectroscopy and structure, but has been less comprehensively studied than the corresponding forward angle case. As a result, the physics of u-channel scattering poses a range of new experimental and theoretical opportunities and questions. We summarize recent progress in measuring and understanding high energy reactions with baryon charge exchange in the uchannel, as discussed in the first Backward angle (uchannel) Physics Workshop. In particular, we discuss backward angle measurements and their theoretical description via both hadronic models and the collinear factorization approach, and discuss planned future measurements of u-channel physics. Finally, we propose outstanding questions and challenges for u-channel physics.

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Deconvolution problem of deeply virtual Compton scattering

Cited by 57 publications

References 41 publications

Snowmass 2021 White Paper: Electron Ion Collider for High Energy Physics

Snowmass 2021 White Paper: Electron Ion Collider for High Energy Physics

Artificial neural network modelling of generalised parton distributions

Progress and Opportunities in Backward angle (u-channel) Physics

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