Accessing Compton Form Factors at the Electron Ion Collider in China: An Impact study on $\textbf{Im} {\mathcal E}$

TL;DR

This study evaluates how future measurements at the Electron Ion Collider in China could significantly improve the extraction of the imaginary part of the Compton Form Factor , aiding the understanding of parton orbital angular momentum.

Contribution

It demonstrates the potential of Bayesian reweighting with neural-network extracted CFFs to enhance the precision of  measurements at EicC.

Findings

Significant improvement in  extraction at x .01

Potential to probe parton orbital angular momentum

Effective use of Bayesian reweighting method

Abstract

We estimate the impact of asymmetry measurements of Deeply Virtual Compton Scattering (DVCS) with transversely polarized proton beam taken at a future Electron Ion Collider in China (EicC) on the extraction of Compton Form Factors (CFFs). The CFFs extracted from an analysis based on artificial neural-network approach are reweighted by means of pseudo-data generated in the expected kinematic region of EicC. We find a remarkable improvement in the extraction of CFF $\textbf{Im} {\mathcal E}$, especially at the range of parton momentum fraction $x \sim$ 0.01, thus hinting for a future experimental probe of the parton orbital angular momentum. This work casts a glance at a practical implementation of Bayesian reweighting method on CFFs' impact study.