Speaker
Luca Polano
(Istituto Nazionale di Fisica Nucleare)
Description
Di-hadron Fragmentation Functions (DiFFs) represent a unique analyzing
power to access the chiral-odd transversity parton distribution in a
collinear framework. Since present extractions of transversity through
this method are performed at leading-order (LO) accuracy, improving the
precision requires extracting DiFFs beyond LO. In this talk, I will
present a new extraction of the unpolarized DiFF up to NNLO accuracy,
using both a physics-informed parametrization and a neural-network
approach. I will also discuss preliminary aspects of the NLO extraction
of the polarized chiral-odd DiFF that partners the chiral-odd transversity.
| Speaker confirmation | No |
|---|
Authors
Alessandro Bacchetta
(Istituto Nazionale di Fisica Nucleare)
Luca Polano
(Istituto Nazionale di Fisica Nucleare)
Marco Radici
(Istituto Nazionale di Fisica Nucleare)