An open-source machine learning framework for global analyses of parton distributions
Titel:
An open-source machine learning framework for global analyses of parton distributions
Auteur:
, Ball, Richard D. Carrazza, Stefano Cruz-Martinez, Juan Del Debbio, Luigi Forte, Stefano Giani, Tommaso Iranipour, Shayan Kassabov, Zahari Latorre, Jose I. Nocera, Emanuele R. Pearson, Rosalyn L. Rojo, Juan Stegeman, Roy Schwan, Christopher Ubiali, Maria Voisey, Cameron Wilson, Michael
Verschenen in:
The European physical journal. C, Particles and fields