Extraction of DVCS form factors with uncertainties

TL;DR

This paper reviews recent efforts to extract DVCS form factors, highlighting the effectiveness of neural networks in reliably estimating their uncertainties.

Contribution

It introduces neural networks as a novel method for extracting DVCS form factors with quantified uncertainties.

Findings

Neural networks provide reliable uncertainty estimates.

Recent extraction methods improve form factor accuracy.

Neural network approach outperforms traditional techniques.

Abstract

We discuss recent attempts to extract deeply virtual Compton scattering form factors with emphasis on their uncertainties, which turn out to be most reliably provided by method of neural networks.