Helicity-dependent parton distribution functions at next-to-next-to-leading order accuracy from inclusive and semi-inclusive deep-inelastic scattering data

Autor: MAP, Collaboration, Bertone, Valerio, Chiefa, Amedeo, Nocera, Emanuele R.
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: We present MAPPDFpol1.0, a new determination of the helicity-dependent parton distribution functions (PDFs) of the proton from a set of longitudinally polarised inclusive and semi-inclusive deep-inelastic scattering data. The determination includes, for the first time, next-to-next-to-leading order QCD corrections to both processes, and is carried out in a framework that combines a neural-network parametrisation of PDFs with a Monte Carlo representation of their uncertainties. We discuss the quality of the determination, in particular its dependence on higher-order corrections, on the choice of data set, and on theoretical constraints.
Comment: 19 pages, 6 figures, code available at https://github.com/MapCollaboration/Denali
Databáze: arXiv