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arXiv · 2207.04137

DarkNews: a Python-based event generator for heavy neutral lepton production in neutrino-nucleus scattering

Asli M. Abdullahi·Jaime Hoefken Zink·Matheus Hostert·Daniele Massaro·Silvia Pascoli
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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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Asli M. Abdullahi, Jaime Hoefken Zink, Matheus Hostert, Daniele Massaro, Silvia Pascoli. 2022-07-08. DarkNews: a Python-based event generator for heavy neutral lepton production in neutrino-nucleus scattering. https://arxiv.org/abs/2207.04137

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