@Article{Candido_etal2023,
author="Candido, A.
and Garcia, A.
and Magni, G.
and Rabemananjara, T.
and Rojo, J.
and Stegeman, R.",
title="Neutrino structure functions from GeV to EeV energies",
journal="Journal of High Energy Physics",
year="2023",
publisher="Springer",
volume="05",
number="5",
pages="149--78pp",
optkeywords="Deep Inelastic Scattering or Small-x Physics; Neutrino Interactions; Parton Distributions",
abstract="The interpretation of present and future neutrino experiments requires accurate theoretical predictions for neutrino-nucleus scattering rates. Neutrino structure functions can be reliably evaluated in the deep-inelastic scattering regime within the perturbative QCD (pQCD) framework. At low momentum transfers (Q(2) less than or similar to few GeV2), inelastic structure functions are however affected by large uncertainties which distort event rate predictions for neutrino energies E-nu up to the TeV scale. Here 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 NNSF nu 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 compare our determination to other calculations, in particular to the popular Bodek-Yang model. 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 FASER nu, SND@LHC, and the Forward Physics Facility. The NNSF nu determination is made available as fast interpolation LHAPDF grids, and it can be accessed both through an independent driver code and directly interfaced to neutrino event generators such as GENIE.",
optnote="WOS:000992767300011",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=5559), last updated on Mon, 03 Jul 2023 07:18:30 +0000",
issn="1029-8479",
doi="10.1007/JHEP05(2023)149",
opturl="https://arxiv.org/abs/2302.08527",
opturl="https://doi.org/10.1007/JHEP05(2023)149",
language="English"
}