Extended inert doublet model with low scale seesaw mechanisms

Read full text
Authors: D. T. Huong, A. E. Cárcamo Hernández, Khiem Hong Phan, T. T. Hieu, Nicolás A. Pérez-Julve, Duy Nguyen Tuan
Cited by: 1
References: 144

Abstract

We have developed an extension of the inert doublet model in which the C P phases in the weak sector are generated from one-loop level corrections mediated by dark fields, while the strong C P phase remains vanishing at three loops. In this framework, the tiny masses of the active neutrinos are produced through a radiative inverse seesaw mechanism at a two-loop level, the masses of the first and second families of Standard Model (SM) charged fermions arise from a one-loop level radiative seesaw mechanism, and the third generation of SM charged fermion masses are generated at tree level. We have demonstrated that the proposed model successfully accounts for SM fermion masses and mixings. The radiative nature of the seesaw mechanisms is attributed to preserved discrete symmetries, which are required for ensuring the stability of fermionic and scalar dark matter candidates. The preserved discrete symmetries also allow for multicomponent dark matter, whose annihilation processes permit one to successfully reproduce the measured amount of dark matter relic abundance for an appropriate region of parameter space, which has been shown to be compatible with current dark matter direct detection limits. Besides that, we explore the model’s ability to explain the 95 GeV diphoton excess observed by the CMS Collaboration, showing that it readily accommodates this anomaly. We also have shown that charged lepton flavor violating decays acquire rates within the current experimental sensitivity.

Fields of Study & Subjects

Theoretical and Computational Physics Seismic Imaging and Inversion Techniques Physics of Superconductivity and Magnetism

Publication details

Journal / source
Physical review. D/Physical review. D.
Publisher
American Physical Society (APS)
Volume
113
Issue
5
Publication date
6 February 2026
Language
EN