The path to proton structure at 1% accuracy

@article{Ball2022ThePT,
  title={The path to proton structure at 1\% accuracy},
  author={Richard D. Ball and Stefano Carrazza and Juan Cruz-Martinez and Luigi Del Debbio and Stefano Forte and Tommaso Giani and Shayan Iranipour and Zahari Kassabov and Jos{\'e} Ignacio Latorre and Emanuele R. Nocera and Rosalyn L. Pearson and Juan Rojo and Roy Stegeman and Christopher Schwan and Maria Ubiali and Cameron Voisey and Michael Wilson},
  journal={The European Physical Journal C},
  year={2022}
}
We present a new set of parton distribution functions (PDFs) based on a fully global dataset and machine learning techniques: NNPDF4.0. We expand the NNPDF3.1 determination with 44 new datasets, mostly from the LHC. We derive a novel methodology through hyperparameter optimization, leading to an efficient fitting algorithm built upon stochastic gradient descent. We use NNLO QCD calculations and account for NLO electroweak corrections and nuclear uncertainties. Theoretical improvements in the… 

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