70 citations · 223 across the 15 of their papers we have counts for
5 papers · 1 filter
Artificial neural network modelling of generalised parton distributions
H. Dutrieux, O. Grocholski, H. Moutarde +1
We discuss the use of machine learning techniques in effectively nonparametric modelling of generalised parton distributions (GPDs) in view of their future extraction from experime…
Shadow generalized parton distributions: a practical approach to the deconvolution problem of DVCS
V. Bertone, H. Dutrieux, C. Mezrag +2
Deeply virtual Compton scattering (DVCS) attracts a lot of interest due to its sensitivity to generalized parton distributions (GPDs) which provide a rich access to the partonic st…
Impact of a positron beam at JLab on an unbiased determination of DVCS Compton Form Factors
H. Dutrieux, V. Bertone, H. Moutarde +1
The impact of potential future measurements of beam charge asymmetries on the current knowledge of Compton form factors is evaluated. Elaborating on the results of a global neural…
The deconvolution problem of deeply virtual Compton scattering
V. Bertone, H. Dutrieux, C. Mezrag +2
Generalised parton distributions are instrumental to study both the three-dimensional structure and the energy-momentum tensor of the nucleon, and motivate numerous experimental pr…
Phenomenological assessment of proton mechanical properties from deeply virtual Compton scattering
H. Dutrieux, C. Lorcé, H. Moutarde +3
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 pro…