What do DVCS data tell us about TCS observables?

TL;DR

This paper uses the analytic relationship between DVCS and TCS amplitudes to predict TCS observables from existing DVCS data, highlighting their experimental complementarity.

Contribution

It introduces a data-driven method to predict TCS observables based on DVCS data, leveraging their analytic connection at leading twist.

Findings

Predicted TCS observables using DVCS data

Quantified the complementarity of DVCS and TCS experiments

Provided testable predictions for upcoming TCS measurements

Abstract

Deeply virtual Compton scattering (DVCS) and timelike Compton scattering (TCS) leading twist amplitudes are intimately related thanks to their analytic properties as a function of $Q^2$. We exploit this feature to use Compton form factors previously extracted from available DVCS data and derive data-driven predictions for TCS observables to be measured in near future experiments. Our results quantitatively illustrate the complementarity of DVCS and TCS experiments.