Abstract
The GENIE neutrino Monte Carlo describes neutrino-induced hadronization with an effective model, known as AGKY, which is interfaced with PYTHIA at high invariant mass. Only the low-mass AGKY model parameters were extracted from hadronic shower data from the FNAL 15 ft and BEBC experiments. In this paper, the first hadronization tune on averaged charged multiplicity data from deuterium and hydrogen bubble chamber experiments is presented, with a complete estimation of parameter uncertainties. A partial tune on deuterium data only highlights the tensions between hydrogen and deuterium datasets.
Highlights
The generation of neutrino oscillation experiments will rely on the precise understanding of neutrino interactions at the percent level
It is seen that the contribution to the event rate from GeV neutrinos is mainly driven by CC resonant (RES) events as well as shallow inelastic scattering (SIS) and deep inelastic scattering (DIS) events from the low-W AGKY model, whereas PYTHIA events dominate at high neutrino energies
This paper summarises the results of the first tune of the AGKY hadronization model against averaged charged multiplicity data on hydrogen and deuterium targets from bubble chamber experiments
Summary
The generation of neutrino oscillation experiments will rely on the precise understanding of neutrino interactions at the percent level. The GENIE neutrino Monte Carlo (MC) event generator [26] uses the Andreopoulos-Gallagher-KehayiasYang (AGKY) hadronization model [27] whose validity. It is seen that the contribution to the event rate from GeV neutrinos is mainly driven by CC resonant (RES) events as well as shallow inelastic scattering (SIS) and DIS events from the low-W AGKY model, whereas PYTHIA events dominate at high neutrino energies. PYTHIA has never been tuned to low-energy neutrino-induced hadronization data. This paper summarises the results of the first tune of the AGKY hadronization model against averaged charged multiplicity data on hydrogen and deuterium targets from bubble chamber experiments.
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