Orateur
Description
In this talk, I will present the first joint extraction of the Collins–Soper kernel (CSK) combining experimental and lattice QCD data within a transverse-momentum-dependent (TMD) analysis. The CSK governs the evolution of TMD distributions and is a key ingredient in their phenomenological extraction. We investigate the impact of lattice information through both Bayesian reweighting of an existing TMD fit based on a neural-network parametrisation and a joint fit to experimental and lattice data. In both cases, we consistently obtain a non-negligible modification of the central value and a significant reduction of the uncertainty band. This opens the way for more precise TMD extractions exploiting the complementary information provided by experimental measurements and lattice calculations.
| Working Group | WG1. Nucleons and Hadrons |
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| Type of oral contribution | Theory |