Generalized Parton Distributions from Deep Virtual Compton Scattering at CLAS

TL;DR

This paper analyzes Deep Virtual Compton Scattering data from Jefferson Lab CLAS to extract Generalized Parton Distributions of the proton, providing numerical estimates of key Compton Form Factors with quantified uncertainties.

Contribution

It presents a largely model-independent method to extract GPD-related form factors from experimental asymmetry data.

Findings

Extracted $H_{Im}$ and $ ilde{H}_{Im}$ with ~30% uncertainties

Provided numerical values for proton GPDs from CLAS data

Demonstrated a model-independent fitting procedure

Abstract

We have analyzed the beam spin asymmetry and the longitudinally polarized target spin asymmetry of the Deep Virtual Compton Scattering process, recently measured by the Jefferson Lab CLAS collaboration. Our aim is to extract information about the Generalized Parton Distributions of the proton. By fitting these data, in a largely model-independent procedure, we are able to extract numerical values for the two Compton Form Factors $H_{Im}$ and $\tilde{H}_{Im}$ with uncertainties, in average, of the order of 30%.