DVCS and the skewness effect at small x

TL;DR

This paper investigates small-x DVCS data using flexible GPD models, compares them with the Shuvaev transform, and discusses mathematical subtleties and potential factorization issues in DVCS.

Contribution

It provides a detailed comparison between GPD models and the Shuvaev transform, highlighting mathematical nuances and addressing factorization concerns in DVCS.

Findings

Shuvaev transform is equivalent to a conformal GPD and a minimalist dual parameterization.

Mathematical subtleties in conformal representations are identified.

Discussion on potential factorization breakdown in DVCS.

Abstract

We analyze small-x DVCS data using flexible GPD models and compare our outcome with the full Shuvaev transformation. We point out that the full Shuvaev transform is a model that is equivalent to a conformal GPD and a minimalist ``dual'' parameterization. Some mathematical subtleties of conformal representations are recalled. We also comment on a speculation of a factorization breakdown in DVCS.