Speaker
Description
Parton distribution functions (PDFs) describe the internal structure of hadrons by providing information on the number densities of quarks and gluons inside them. Among the three leading-twist PDFs, the unpolarised distribution $f_1$ , the helicity distribution $g_1$, and the transversity distribution $ h_1$, the transversity has only recently been extracted and the uncertainties are still high. Interest in transversity has grown due to its role in comparing phenomenological and Lattice QCD results, as well as its relevance in searches for physics beyond the Standard Model. The Collins effect has long been a key tool for accessing transversity, but di-hadron observables provide a powerful alternative, offering complementary information within a simpler theoretical framework.
In my work, I extracted the unpolarised di-hadron fragmentation functions $D_1$ at NNLO accuracy, using both a physics-informed and a neural network parametrisation. It is the first step towards extracting the collinear chiral-odd $H_1^{\angle}$ from the BELLE asymmetry data and, on the long run, towards improving the accuracy in the extraction of transversity from data on inclusive di-hadron production.
