Peter Ballett
Heavy Neutral Leptons from low-scale seesaws at the DUNE Near Detector
Ballett, Peter; Boschi, Tommaso; Pascoli, Silvia
Abstract
Heavy nearly-sterile neutrinos are a common ingredient in extensions of the Standard Model which aim to explain neutrino masses, like for instance in Type I seesaw models, or one of its variants. If the scale of the new Heavy Neutral Leptons (HNLs) is sufficiently low, observable signatures can arise in a range of current and upcoming experiments, from the LHC to neutrino experiments. In this article, we discuss the phenomenology of sterile neutrinos in the MeV to GeV mass range, focusing on their decays. We embed our discussion in a realistic mass model and consider the resulting implications. We focus in particular on the impact on the signal of the strong polarisation effects in the beam for Majorana and (pseudo-)Dirac states, providing formulae to incorporate these in both production and decay. We study how the Near Detector of the upcoming Deep Underground Neutrino Experiment can constrain HNL states by searching for their de- cay products inside the detector. We conduct a Monte Carlo background analysis for the most promising signatures, incorporating the detector’s particle identification capabilities, and estimate the experimental sensitivity of DUNE to these particles. We also present an estimate of the ντ -derived HNL flux at DUNE, currently missing in the literature, which allows us to discuss searches for HNLs at higher masses.
Citation
Ballett, P., Boschi, T., & Pascoli, S. (2020). Heavy Neutral Leptons from low-scale seesaws at the DUNE Near Detector. Journal of High Energy Physics, 2020(3), Article 111. https://doi.org/10.1007/jhep03%282020%29111
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 21, 2020 |
Online Publication Date | Mar 19, 2020 |
Publication Date | Mar 31, 2020 |
Deposit Date | Mar 22, 2020 |
Publicly Available Date | Mar 22, 2020 |
Journal | Journal of High Energy Physics |
Print ISSN | 1126-6708 |
Publisher | Scuola Internazionale Superiore di Studi Avanzati (SISSA) |
Peer Reviewed | Peer Reviewed |
Volume | 2020 |
Issue | 3 |
Article Number | 111 |
DOI | https://doi.org/10.1007/jhep03%282020%29111 |
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Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.
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