Lepton Flavor Violating Higgs Decays in a Minimal Doublet Left-Right Symmetric Model with an Inverse Seesaw
M. Zeleny-Mora, R. Gait\'an, R. Mart\'inez

TL;DR
This paper investigates lepton flavor violating Higgs decays within a minimal doublet left-right symmetric model featuring an inverse seesaw, analyzing how new particles and interactions could produce observable signals at future colliders.
Contribution
It introduces a detailed analysis of LFV Higgs decays in a minimal DLRSM with inverse seesaw, including full neutrino mass matrix diagonalization and phenomenological predictions.
Findings
Identifies parameter regions with detectable LFV Higgs decay rates.
Shows compatibility with current experimental bounds.
Predicts potential signals at future collider experiments.
Abstract
In this study, we analyse the lepton flavor violation (LFV) decays within the framework of the Doublet Left-Right Symmetric model (DLRSM), based on the gauge group SU\left(2\right)_{L}\otimes SU\left(2\right)_{R}\otimes U\left(1\right)_{B-L}. The model features an extended gauge and scalar sector, including a bidoublet and two doublets which induce new charged currents interactions. Spontaneous Symmetry Breaking (SSB) occurs in two stages, introducing a new scale associated with the vacuum expectation value (VEV) of the right-handed doublet v_{R} assumed to lie above the electroweak scale. Neutrino masses are generated via the inverse seesaw mechanism, allowing sizeable mixing between active and sterile neutrinos. We diagonalize the full neutrino mass matrix and express the mixing in terms of physical parameters. We compute the branching ratios for LFV Higgs decays as functions of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · Neutrino Physics Research · Computational Physics and Python Applications
