Generalized Parton Distributions and Deeply Virtual Compton Scattering

TL;DR

This paper introduces a method to extract theoretical insights from limited experimental data in nucleon structure studies, specifically focusing on Generalized Parton Distributions (GPDs), and updates previous results with new data.

Contribution

It presents a novel approach for analyzing under-constrained systems in GPD research, removing previous approximations and incorporating the latest experimental data.

Findings

Improved extraction of GPDs from experimental data

Refined theoretical models with updated data

Enhanced understanding of nucleon structure

Abstract

We present a method which allows to extract theoretical informations out of a limited set of experimental data and observables, forming up in general an under- constrained system. It has been applied to the field of nucleon structure, in the domain of Generalized Parton Distributions (GPDs). We take advantage of this review to remove a couple of approximations that we used in our previous works and update our results using the latest data published.