A novel two loop inverse seesaw model

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Authors: Gonzalo Benítez-Irarrázabal, Rocío Branada Balbontín, Cesar Bonilla, A. E. Cárcamo Hernández, Sergey A. Kovalenko, Juan Marchant González
Cited by: 0
References: 97

Abstract

A bstract We propose a Standard Model (SM) extension where neutrinos get masses through a two-loop inverse seesaw mechanism. This naturally explains the smallness of the neutrino masses and allows seesaw mediators to be at the TeV scale with testable phenomenology. The model adds two real singlet scalars and four electrically neutral leptons to the SM. The extension considers the existence of two global Abelian symmetries, a continuous U (1) and a discrete Z 3 . The latter, remains unbroken after spontaneous symmetry breaking and forbids tree-level and one-loop neutrino masses, and stabilizes the dark matter (DM) candidates. This setup accommodates neutrino-oscillation data, yields two pseudo-Dirac heavy pairs with small active-sterile mixing, and predicts an effective Majorana mass m ee in the 2 . 1–4 . 4 meV range for normal ordering. Charged-lepton flavor violation is naturally suppressed yet testable: for a representative benchmark we obtain BR( μ → eγ ) ≃ 1.6 × 10 −14 , with correlated signals in μ → eee and μ - e conversion within next-generation experimental reach. Altogether, the radiative origin of neutrino masses links low-energy flavor observables to collider signatures, delineating discovery targets for MEG II, Mu2e/COMET, and the HL-LHC and distinguishing this framework from conventional inverse- and radiative-seesaw models. Moreover, the Z 3 guarantees a stable DM candidate, either scalar ( ρ ) or fermionic (Ω). Then, here we analyze and identify the viable parameter space that is consistent with the observed DM relic abundance for both situations.

Fields of Study & Subjects

Particle physics theoretical and experimental studies Computational Physics and Python Applications Neutrino Physics Research

Publication details

Journal / source
Journal of High Energy Physics
Publisher
Springer Science and Business Media LLC
Volume
2026
Issue
7
Publication date
13 July 2026
Language
EN