Speaker
Description
We are moving toward a new generation of global analyses of unpolarized transverse-momentum–dependent distributions (TMDs) based on neural-network parameterizations, extending to SIDIS a framework previously tested using Drell–Yan data only.
At present, global fits with state-of-the-art perturbative accuracy and flavor dependence are available, although still based on traditional parameterizations. Building on these results, we study the impact of projected SIDIS measurements from future experiments such as SoLID at 12 GeV and the Electron–Ion Collider. We show that their extended kinematic coverage will be crucial to constrain regions of phase space that are currently poorly covered by existing data. In particular, we discuss the importance of precise cross-section measurements, rather than multiplicities, to fully exploit the potential of future facilities and to enable qualitatively new tests of TMD dynamics.
| Speaker confirmation | Yes |
|---|