Combining TMD factorization and collinear factorization

TL;DR

This paper discusses the challenges of integrating TMD and collinear factorization for accurate transverse momentum predictions in processes like Drell-Yan and proposes improved methods for their combination.

Contribution

It introduces new techniques for matching TMD and collinear factorization, enhancing the accuracy of theoretical predictions across all transverse momentum ranges.

Findings

Identified complications in combining factorization schemes.

Proposed improved matching methods.

Enhanced predictive accuracy in Drell-Yan processes.

Abstract

We examine some of the complications involved when combining (matching) TMD factorization with collinear factorization to allow accurate predictions over the whole range of measured transverse momentum in a process like Drell-Yan. Then we propose some improved methods for combining the two types of factorization. (This talk is based on work reported in arXiv:1605.00671.)