Journal
PHYSICS LETTERS B
Volume 811, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physletb.2020.135931
Keywords
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Funding
- Brazilian National Council for Scientific and Technological Development (CNPq) [436692/2018-0, 304423/2017-3]
- CAPES [88887.485509/2020-00]
- project From Higgs Phenomenology to the Unification of Fundamental Interactions [PTDC/FIS-PAR/31000/2017, BPD-32 (19661/2019)]
- Brazilian National Council for Scientific and Technological Development (CNPq)
- Fundação para a Ciência e a Tecnologia [PTDC/FIS-PAR/31000/2017] Funding Source: FCT
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Inverse seesaw is a genuine TeV scale seesaw mechanism. In it active neutrinos with masses at eV scale requires lepton number be explicitly violated at keV scale and the existence of new physics, in the form of heavy neutrinos, at TeV scale. Therefore it is a phenomenologically viable seesaw mechanism since its signature may be probed at the LHC. Moreover it is successfully embedded into gauge extensions of the standard model as the 3-3-1 model with the right-handed neutrinos. In this work we revisit the implementation of this mechanism into the 3-3-1 model and employ deep learning analysis to probe such setting at the LHC and, as main result, we have that if its signature is not detected in the next LHC running with energy of 14 TeVs, then, the vector boson Z' of the 3-3-1 model must be heavier than 4 TeVs. (C) 2020 The Authors. Published by Elsevier B.V.
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