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https://doi.org/10.1103/physre...
Article . 2023 . Peer-reviewed
License: CC BY
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https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY
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Modeling heavy neutral leptons in accelerator beamlines

Authors: Komninos-John Plows; Xianguo Lu;

Modeling heavy neutral leptons in accelerator beamlines

Abstract

Heavy Neutral Leptons (HNLs) with masses $\mathcal{O}(0.1 - 1\,\,\text{GeV}/c^{2})$ are promising candidates for the simultaneous explanation of the smallness of the observed neutrino masses as well as the matter-antimatter asymmetry in the observable Universe. These particles can be produced in the decay of hadrons typically produced in a neutrino beamline used for oscillation experiments, and have sufficient lifetime to propagate to a near detector, where they decay to observable particles. For the approximation of a single new mass eigenstate mixing with the Standard Model via the lepton mixing matrix, a simulation framework based on the GENIE event generator has been developed. This module is designed to facilitate searches for HNL through a unified, minimal interface employing a detailed treatment of the kinematics and dynamics of massive unstable neutrinos, with a transparently organised suite of physics effects tracking the HNL from its production to its decay. These mechanisms are expounded on in the current work, underlining the rich landscape for novel, non-trivial physics that has already been identified in previous literature. This framework is an ongoing effort to provide a consistent and comprehensive description of heavy neutrinos from particle decays. We highlight use cases and future applications of interest to the accelerator neutrino community.

25 pages, 19 figures. Accepted version by Physical Review D

Country
United Kingdom
Keywords

High Energy Physics - Phenomenology, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), FOS: Physical sciences, High Energy Physics - Experiment

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
hybrid