Speaker
Description
We present MAPFF1.0_Lambda, the first global analysis at next-to-next-to-leading order in perturbative QCD of the collinear unpolarised fragmentation functions for $\Lambda$ production. The fit is based on data from single-inclusive electron-positron annihilation and semi-inclusive deep-inelastic scattering, and both neutral and charged-current processes are included for the latter. We have adopted a statistical framework based on the Monte Carlo sampling method and parametrised the fragmentation functions in terms of a neural network for a total of 7 independent parton flavours and without imposing any constraint on the valence quarks. In particular, treating the strange quark as independent revealed its characteristic dominance over the up and down quarks. The analysed dataset together with the choice of independent flavours allowed us to extract for the first time a set of 7 fragmentation functions for $\Lambda$ and $\bar{\Lambda}$ separately, offering new insights into the hadronisation mechanism of strange baryons, and establishing a baseline for future phenomenological and experimental investigations.