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Discovery potential of FASERν with contained vertex and through-going events

Bakhti, Pouya; Farzan, Yasaman; Pascoli, Silvia

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Authors

Pouya Bakhti

Yasaman Farzan



Abstract

FASERν is a newly proposed detector whose main mission is to detect the neutrino flux from the collision of the proton beams at the ATLAS Interaction Point (IP) during the run III of the LHC in 2022–2024. We show that this detector can also test certain beyond standard model scenarios, especially the ones in which the neutrino interaction with matter fields can produce new unstable particles decaying back into charged leptons. Models of this kind are motivated by the MiniBooNE anomaly. We show that, if the new physics involves multi-muon production by neutrinos scattering off matter fields, including the neutrino flux interactions in the rock before the detector in the analysis (i.e., accounting for the through-going muon pairs) can significantly increase the effective detector mass and its sensitivity to new physics. We propose a concrete model that can give rise to such a multi-muon signal.

Citation

Bakhti, P., Farzan, Y., & Pascoli, S. (2021). Discovery potential of FASERν with contained vertex and through-going events. Journal of High Energy Physics, 2021(4), Article 75. https://doi.org/10.1007/jhep04%282021%29075

Journal Article Type Article
Acceptance Date Mar 6, 2021
Online Publication Date Apr 9, 2021
Publication Date 2021
Deposit Date Jul 27, 2021
Publicly Available Date Jul 27, 2021
Journal Journal of High Energy Physics
Print ISSN 1126-6708
Electronic ISSN 1029-8479
Publisher Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Peer Reviewed Peer Reviewed
Volume 2021
Issue 4
Article Number 75
DOI https://doi.org/10.1007/jhep04%282021%29075

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Published Journal Article (480 Kb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Open Access . 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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