GPD phenomenology and DVCS fitting - Entering the high-precision era

TL;DR

This paper reviews the current phenomenological methods for extracting Generalized Parton Distributions from Deeply Virtual Compton Scattering data, emphasizing challenges and recommendations for high-precision future measurements.

Contribution

It provides a comprehensive overview of GPD models and fitting techniques, and offers guidance for achieving more accurate GPD extractions with upcoming experimental data.

Findings

Analysis of various GPD models and their fitting procedures

Identification of key challenges in GPD extraction

Recommendations for improving GPD determination accuracy

Abstract

We review the phenomenological framework for accessing Generalized Parton Distributions (GPDs) using measurements of Deeply Virtual Compton Scattering (DVCS) from a proton target. We describe various GPD models and fitting procedures, emphasizing specific challenges posed both by the internal structure and properties of the GPD functions and by their relation to observables. Bearing in mind forthcoming data of unprecedented accuracy, we give a set of recommendations to better define the pathway for a precise extraction of GPDs from experiment.