ND280 data, recast through a detailed Monte Carlo simulation, set new world-leading limits on dipole-portal heavy neutral leptons and disfavor them as the MiniBooNE anomaly explanation.
DarkNews: a Python-based event generator for heavy neutral lepton production in neutrino-nucleus scattering
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abstract
We introduce DarkNews, a lightweight Python-based Monte-Carlo generator for beyond-the-Standard-Model neutrino-nucleus scattering. The generator handles the production and decay of heavy neutral leptons via additional vector or scalar mediators, as well as through transition magnetic moments. DarkNews samples pre-computed neutrino-nucleus upscattering cross sections and heavy neutrino decay rates to produce dilepton and single-photon events in accelerator neutrino experiments. We present two case studies with differential distributions for models that can explain the MiniBooNE excess. The aim of this code is to aid the neutrino theory and experimental communities in performing searches and sensitivity studies for new particles produced in neutrino upscattering.
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Constraints and Sensitivities for Dipole-Portal Heavy Neutral Leptons from ND280 and its Upgrade
ND280 data, recast through a detailed Monte Carlo simulation, set new world-leading limits on dipole-portal heavy neutral leptons and disfavor them as the MiniBooNE anomaly explanation.