Pith. sign in

Two Higgs Doublets and a Complex Singlet: Disentangling the Decay Topologies and Associated Phenomenology

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it
abstract

We present a systematic study of an extension of the Standard Model (SM) with two Higgs doublets and one complex singlet (2HDM+S). In order to gain analytical understanding of the parameter space, we re-parameterize the 27 parameters in the Lagrangian by quantities more closely related to physical observables: physical masses, mixing angles, trilinear and quadratic couplings, and vacuum expectation values. Embedding the 125\,GeV SM-like Higgs boson observed at the LHC places stringent constraints on the parameter space. In particular, the mixing of the SM-like interaction state with the remaining states is severely constrained, requiring approximate alignment without decoupling in the region of parameter space where the additional Higgs bosons are light enough to be accessible at the LHC. In contrast to 2HDM models, large branching ratios of the heavy Higgs bosons into two lighter Higgs bosons or a light Higgs and a $Z$ boson, so-called Higgs cascade decays, are ubiquitous in the 2HDM+S. Using currently available limits, future projections, and our own collider simulations, we show that combining different final states arising from Higgs cascades would allow to probe most of the interesting region of parameter space with Higgs boson masses up to 1\,TeV at the LHC with $L=3000\,{\rm fb}^{-1}$ of data.

citation-role summary

background 2

citation-polarity summary

fields

hep-ph 4

years

2026 1 2025 3

verdicts

UNVERDICTED 4

roles

background 2

polarities

background 2

representative citing papers

Machine Learning in the 2HDM2S model for Dark Matter

hep-ph · 2025-09-01 · unverdicted · novelty 5.0

A 2HDM extended by two real scalar singlets is scanned with evolutionary strategies to locate regions satisfying vacuum, unitarity, oblique-parameter, collider and dark-matter constraints.

The neutral scalars of type-II 2HDM+S under the LHC

hep-ph · 2026-04-30 · unverdicted · novelty 5.0

Exotic decays A/H to Z h_S or Z A_S exclude large regions of the type-II 2HDM+S parameter space for moderate tan beta values where conventional 2HDM channels are weak.

Search for Dark Matter in 2HDMS at LHC and future Lepton Colliders

hep-ph · 2025-04-20 · unverdicted · novelty 3.0

Benchmarks in the 2HDMS model with light to heavy dark matter masses are identified under all constraints and shown to have better discovery prospects at future lepton colliders than at the HL-LHC via cut-and-count analyses.

citing papers explorer

Showing 4 of 4 citing papers.

  • Towards a Unified Framework for Pseudo-Nambu-Goldstone Dark Matter and Electroweak Baryogenesis hep-ph · 2025-09-01 · unverdicted · none · ref 27 · internal anchor

    The cS2HDM unifies a pseudo-Nambu-Goldstone dark matter candidate with electroweak baryogenesis in a two-Higgs-doublet plus complex singlet setup, featuring naturally suppressed DM-nucleon scattering and CP-violating Higgs interactions under flavour alignment.

  • Machine Learning in the 2HDM2S model for Dark Matter hep-ph · 2025-09-01 · unverdicted · none · ref 21 · internal anchor

    A 2HDM extended by two real scalar singlets is scanned with evolutionary strategies to locate regions satisfying vacuum, unitarity, oblique-parameter, collider and dark-matter constraints.

  • The neutral scalars of type-II 2HDM+S under the LHC hep-ph · 2026-04-30 · unverdicted · none · ref 1

    Exotic decays A/H to Z h_S or Z A_S exclude large regions of the type-II 2HDM+S parameter space for moderate tan beta values where conventional 2HDM channels are weak.

  • Search for Dark Matter in 2HDMS at LHC and future Lepton Colliders hep-ph · 2025-04-20 · unverdicted · none · ref 3 · internal anchor

    Benchmarks in the 2HDMS model with light to heavy dark matter masses are identified under all constraints and shown to have better discovery prospects at future lepton colliders than at the HL-LHC via cut-and-count analyses.