Determination of Collins-Soper kernel from cross-sections ratios

TL;DR

This paper introduces a new method to extract the Collins-Soper kernel from cross-section ratios at different energies, validated on simulated data, with potential application to real experimental measurements in Drell-Yan and SIDIS processes.

Contribution

A novel approach for directly extracting the Collins-Soper kernel from differential cross-section comparisons across energies, applicable to real data with minimal modifications.

Findings

Successfully extracted the Collins-Soper kernel from pseudo-data

Validated the method against the parton-branching model predictions

Applicable to real experimental data with minor adjustments

Abstract

We present a novel method of extraction of the Collins-Soper kernel directly from the comparison of differential cross-sections measured at different energies. Using this method, we analyze the pseudo-data generated by the CASCADE event generator and extract the Collins-Soper kernel predicted by the parton-branching model in the wide range of transverse distances. The procedure can be applied, with minor modifications, to the real measured data for Drell-Yan and SIDIS processes.