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arXiv · 2510.26489

An extraction of the Collins-Soper kernel from a joint analysis of experimental and lattice data

Artur Avkhadiev·Valerio Bertone·Chiara Bissolotti·Matteo Cerutti·Yang Fu·Simone Rodini·Phiala Shanahan·Michael Wagman·Yong Zhao
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Abstract

We present a first joint extraction of the Collins-Soper kernel (CSK) combining experimental and lattice QCD data in the context of an analysis of transverse-momentum-dependent distributions (TMDs). Based on a neural-network parametrization, we perform a Bayesian reweighting of an existing fits of TMDs using lattice data, as well as a joint TMD fit to lattice and experimental data. We consistently find that the inclusion of lattice information shifts the central value of the CSK by approximately 10% and reduces its uncertainty by 40-50%, highlighting the potential of lattice inputs to improve TMD extractions.

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Artur Avkhadiev, Valerio Bertone, Chiara Bissolotti, Matteo Cerutti, Yang Fu, Simone Rodini, Phiala Shanahan, Michael Wagman, Yong Zhao. 2025-10-30. An extraction of the Collins-Soper kernel from a joint analysis of experimental and lattice data. https://arxiv.org/abs/2510.26489

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