PhD thesis
Theory predictions for PDF fitting
advisor Stefano Forte
Improving the theory predictions used to fit parton distributions in several directions: N3LO evolution and deep-inelastic scattering, missing higher-order uncertainties from scale variations, QED evolution. The work also meant a leap in performance and code structure, all released as open source, and it enabled side results: evidence for intrinsic charm in the proton, neural-network interpolation of low-energy neutrino structure functions, the forward-backward asymmetry in Drell-Yan as a probe of new physics.