scholarly journals Theoretical study of deeply virtual Compton scattering off $^4$He

Author(s):  
Sara Fucini ◽  
Sergio Scopetta ◽  
Michele Viviani

An interesting breakthrough in understanding the elusive inner content of nuclear systems in terms of partonic degrees of freedom is represented by deeply virtual Compton scattering processes. In such a way, tomographic view of nuclei and bound nucleons in coordinate space could be achieved for the first time. Moreover, nowadays experimental results for such a process considering ^44He targets recently released at Jefferson Lab are available. In this talk, the recent results of our rigorous Impulse Approximation for DVCS off ^44He, in terms of state-of-the-art models of the nuclear spectral function and of the parton structure of the bound proton, able to explain present data, has been shown.

2021 ◽  
Vol 103 (11) ◽  
Author(s):  
V. Bertone ◽  
H. Dutrieux ◽  
C. Mezrag ◽  
H. Moutarde ◽  
P. Sznajder

2020 ◽  
Vol 102 (6) ◽  
Author(s):  
Sara Fucini ◽  
Sergio Scopetta ◽  
Michele Viviani

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

2018 ◽  
Author(s):  
François-Xavier Girod ◽  
Latifa Elouadrhiri ◽  
Volker D. Burkert

2021 ◽  
Vol 81 (4) ◽  
Author(s):  
H. Dutrieux ◽  
C. Lorcé ◽  
H. Moutarde ◽  
P. Sznajder ◽  
A. Trawiński ◽  
...  

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.


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