Extraction of Compton Form Factors from DVCS data

TL;DR

This paper introduces a largely model-independent fitting method to extract Compton Form Factors from DVCS experimental data, providing new insights into nucleon structure and constraints on specific CFFs.

Contribution

A novel fitting code that extracts CFFs from DVCS data in a model-independent manner, offering new constraints and insights into nucleon structure.

Findings

Constraints on H and tilde{H} CFFs from JLab and HERMES data

Kinematic dependences of CFFs reveal new nucleon structure insights

First constraints on certain CFFs from experimental data

Abstract

We present the results of a fitter code which aims at extracting Compton Form Factors (CFFs) from DVCS (Deep Virtual Compton Scattering) experimental data, in a largely model-independent way. CFFs are linked to GPDs (Generalized parton Distributions) and are the quantities which are directly measurable. The data that we have analyzed are from JLab and HERMES experiments. We obtain some first important constraints on the $H$ and $\tilde{H}$ CFFs. The kinematical dependences ($x_B$, $t$) of these CFFs provide some new insights on nucleon structure.