We present a determination of neutrino inelastic structure functions valid for the complete range of energies relevant for phenomenology, from the GeV region entering oscillation analyses to the multi-EeV region accessible at neutrino telescopes. Our NNSFν approach combines a machine-learning parametrisation of experimental data with pQCD calculations based on state-of-the-art analyses of proton and nuclear parton distributions (PDFs). We provide updated predictions for inclusive cross sections for a range of energies and target nuclei, including those relevant for LHC far-forward neutrino experiments such as FASERν, SND@LHC, and the Forward Physics Facility.
NNSFν paper: https://arxiv.org/abs/2302.08527
NNSFν webpage: https://nnpdf.github.io/nnusf/
NNSFν open-source code: https://github.com/NNPDF/nnusf
The NNSFν grids are available in LHAPDF format below, and can be downloaded from the LHAPDF or NNSFν webpages, they can be accessed both through an independent driver code and directly interfaced to neutrino event generators such as GENIE.
NNSFnu_D_lowQ.tar.gz NNSFnu_D_highQ.tar.gz NNSFnu_He_lowQ.tar.gz NNSFnu_He_highQ.tar.gz NNSFnu_Li_lowQ.tar.gz NNSFnu_Li_highQ.tar.gz NNSFnu_Be_lowQ.tar.gz NNSFnu_Be_highQ.tar.gz NNSFnu_C_lowQ.tar.gz NNSFnu_C_highQ.tar.gz NNSFnu_N_lowQ.tar.gz NNSFnu_N_highQ.tar.gz NNSFnu_O_lowQ.tar.gz NNSFnu_O_highQ.tar.gz NNSFnu_Al_lowQ.tar.gz NNSFnu_Al_highQ.tar.gz NNSFnu_Ea_lowQ.tar.gz NNSFnu_Ea_highQ.tar.gz NNSFnu_Ca_lowQ.tar.gz NNSFnu_Ca_highQ.tar.gz NNSFnu_Fe_lowQ.tar.gz NNSFnu_Fe_highQ.tar.gz NNSFnu_Cu_lowQ.tar.gz NNSFnu_Cu_highQ.tar.gz NNSFnu_Ag_lowQ.tar.gz NNSFnu_Ag_highQ.tar.gz NNSFnu_Sn_lowQ.tar.gz NNSFnu_Sn_highQ.tar.gz NNSFnu_Xe_lowQ.tar.gz NNSFnu_Xe_highQ.tar.gz NNSFnu_W_lowQ.tar.gz NNSFnu_W_highQ.tar.gz NNSFnu_Au_lowQ.tar.gz NNSFnu_Au_highQ.tar.gz NNSFnu_Pb_lowQ.tar.gz NNSFnu_Pb_highQ.tar.gz NNSFnu_Ar_lowQ.tar.gz NNSFnu_Ar_highQ.tar.gz