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Constraining the 3HDM Parameter Space using Active Learning

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arxiv 2504.07489 v2 pith:B46SFTUY submitted 2025-04-10 hep-ph

Constraining the 3HDM Parameter Space using Active Learning

classification hep-ph
keywords higgscp-evenparameterspacethreeallowedbosondoublet
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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One of the standard ways to study scenarios beyond the Standard Model involves extending the Higgs Sector. This work examines the Three Higgs Doublet Model (3HDM) in a Type-Z or democratic setup, where each Higgs doublet couples exclusively to a specific type of fermion. The particle spectrum of the 3HDM includes four charged Higgs bosons, two CP-odd scalars, and three CP-even scalars. This work investigates the allowed mass and coupling parameter space in the Type-Z 3HDM after imposing all theoretical and experimental constraints. We extract the allowed parameter space under three distinct alignment-limit conditions or mass hierarchies leveraging machine learning techniques. Specifically, we analyze scenarios where the 125 GeV Higgs is the lightest, an intermediary, or the heaviest CP-even Higgs boson. Our findings indicate that while a single lighter CP-even Higgs boson below 125 GeV still remains a possibility, the presence of two lighter Higgses is ruled out.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Machine Learning in the 2HDM2S model for Dark Matter

    hep-ph 2025-09 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.

  2. Inert dark matter in three Higgs doublet model: a blind spot narrative

    hep-ph 2025-08 unverdicted novelty 5.0

    In a Z3 x Z2-symmetric three-Higgs-doublet model with one inert doublet, the tree-level dark matter-nucleon scattering cross-section can vanish in a blind spot set by the dark sector mass splitting.