27 research outputs found

    AGKY Hadronization Model Tuning in GENIE v3

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    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

    Hadronization model tuning in genie v3

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    The genie neutrino Monte Carlo describes neutrino-induced hadronization with an effective model, known as Andreopoulos-Gallagher-Kehayias-Yang (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 highlights the tensions between hydrogen and deuterium datasets

    Neutrino-nucleus CC0π\pi cross-section tuning in GENIE v3

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    This article summarizes the state of the art of ΜΌ\nu_\mu and ΜˉΌ\bar{\nu}_\mu CC0π\pi cross-section measurements on carbon and argon and discusses the relevant nuclear models, parametrizations and uncertainties in GENIE v3. The CC0π\pi event topology is common in experiments at a few-GeV energy range. Although its main contribution comes from quasi-elastic interactions, this topology is still not well understood. The GENIE global analysis framework is exploited to analyze CC0π\pi datasets from MiniBooNE, T2K and MINERvA. A partial tune for each experiment is performed, providing a common base for the discussion of tensions between datasets. The results offer an improved description of nuclear CC0π\pi datasets as well as data-driven uncertainties for each experiment. This work is a step towards a GENIE global tune that improves our understanding of neutrino interactions on nuclei. It follows from earlier GENIE work on the analysis of neutrino scattering datasets on hydrogen and deuterium
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