Speaker
LUCA POLANO
(University of Pavia, Istituto Nazionale di Fisica Nucleare)
Description
Di-hadron Fragmentation Functions (DiFFs) provide a unique tool to probe the chiral-odd transversity parton distribution in a collinear framework. Current determinations of transversity using this approach are performed at leading-order (LO) accuracy, so achieving higher precision requires extending the extraction of DiFFs beyond LO. In this presentation, I will report a new extraction of the unpolarized DiFF up to NNLO accuracy, employing both a physics-informed parametrization and a neural network approach. If available, I will also discuss preliminary results from the ongoing work on the NLO extraction of the polarized chiral-odd DiFF that partners the chiral-odd transversity.
Author
LUCA POLANO
(University of Pavia, Istituto Nazionale di Fisica Nucleare)