Lessons from LHC on the LFV Higgs decays $h \to \ell_a \ell_b$ in the Two-Higgs Doublet Models
M. A. Arroyo-Ure\~na, J. Lorenzo D\'iaz-Cruz, O. F\'elix-Beltr\'an and, M. Zeleny-Mora

TL;DR
This paper investigates lepton-flavor violating Higgs decays within Two-Higgs Doublet Models, analyzing constraints, potential detection at the LHC, and the effects of neutrino-induced loops, highlighting promising scenarios for future searches.
Contribution
It provides a comprehensive analysis of LFV Higgs decays in 2HDMs, including constraints, textures, and loop effects, with predictions for detectability at the LHC.
Findings
Detectable $h \to \tau\mu$ decay rates in certain 2HDM scenarios.
Loop-induced LFV decays are too small for current LHC detection.
Constraints significantly restrict the parameter space for LFV Higgs decays.
Abstract
The non-conservation of the lepton number has been explored at the LHC through the Lepton-Flavor Violating (LFV) Higgs decays , with . Current limits on these decays are a source of valuable information on the structure of the Yukawa and Higgs sectors. The LFV Higgs couplings can arise within the general Two-Higgs Doublet Model (2HDM); the predicted rates for these decay modes depend on the specific Yukawa structure being considered, ranging from a vanishing branching ratio at tree-level for some versions (2HDM-I, II, X, Y), up to large and detectable ratios within the general 2HDM-III. An attractive scenario is given by the texturized version of the model (2HDM-Tx), with the Yukawa matrices having some texture zeros, such as the minimal version with the so-called Cheng-Sher ansazt. We study the constraints on the parameter…
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 · Computational Physics and Python Applications · High-Energy Particle Collisions Research
