scholarly journals Deconvolution problem of deeply virtual Compton scattering

2021 ◽  
Vol 103 (11) ◽  
Author(s):  
V. Bertone ◽  
H. Dutrieux ◽  
C. Mezrag ◽  
H. Moutarde ◽  
P. Sznajder
Keyword(s):  
Compton Scattering ◽  
Deeply Virtual Compton Scattering ◽  
Virtual Compton Scattering ◽  
Deconvolution Problem

scholarly journals Incoherent deeply virtual Compton scattering off He4

2020 ◽  
Vol 102 (6) ◽  
Author(s):  
Sara Fucini ◽  
Sergio Scopetta ◽  
Michele Viviani
Keyword(s):  
Compton Scattering ◽  
Deeply Virtual Compton Scattering ◽  
Virtual Compton Scattering

scholarly journals Deeply virtual compton scattering

2000 ◽  
Vol 666-667 ◽  
pp. 234-243
Author(s):  
P.A.M. Guichon ◽  
M. Guidal ◽  
M. Vanderhaeghen
Keyword(s):  
Compton Scattering ◽  
Deeply Virtual Compton Scattering ◽  
Virtual Compton Scattering

scholarly journals Deeply virtual Compton scattering with a positron beam

2018 ◽  
Author(s):  
François-Xavier Girod ◽  
Latifa Elouadrhiri ◽  
Volker D. Burkert
Keyword(s):  
Compton Scattering ◽  
Deeply Virtual Compton Scattering ◽  
Positron Beam ◽  
Virtual Compton Scattering

scholarly journals Phenomenological assessment of proton mechanical properties from deeply virtual Compton scattering

2021 ◽  
Vol 81 (4) ◽  
Author(s):  
H. Dutrieux ◽  
C. Lorcé ◽  
H. Moutarde ◽  
P. Sznajder ◽  
A. Trawiński ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Compton Scattering ◽  
Current Knowledge ◽  
Deeply Virtual Compton Scattering ◽  
Virtual Compton Scattering ◽  
Momentum Tensor ◽  
Scattering Data ◽  
Subtraction Constant ◽  
Model Independent ◽  
The Impact

AbstractA 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 analysis of deeply virtual Compton scattering data through the measurement of the subtraction constant. In practice the kinematic coverage and accuracy of existing experimental data make this endeavour a challenge. Elaborating on recent global fits of deeply virtual Compton scattering measurements using artificial neural networks, our analysis presents the current knowledge on this subtraction constant and assesses the impact of the most frequent systematic assumptions made in this field of research. This study will pave the way for future works when more precise data will become available, e.g. obtained in the foreseen electron-ion colliders EIC and EIcC.

scholarly journals Double deeply virtual Compton scattering with positron beams at SoLID

2021 ◽  
Vol 57 (7) ◽  
Author(s):  
S. Zhao ◽  
A. Camsonne ◽  
D. Marchand ◽  
M. Mazouz ◽  
N. Sparveris ◽  
...  
Keyword(s):  
Compton Scattering ◽  
Deeply Virtual Compton Scattering ◽  
Virtual Compton Scattering ◽  
Positron Beams
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