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arXiv · 2504.07489

Constraining the 3HDM Parameter Space using Active Learning

Nipun Batra·Baradhwaj Coleppa·Akshat Khanna·Santosh Kumar Rai·Agnivo Sarkar
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Abstract

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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Nipun Batra, Baradhwaj Coleppa, Akshat Khanna, Santosh Kumar Rai, Agnivo Sarkar. 2025-04-10. Constraining the 3HDM Parameter Space using Active Learning. https://arxiv.org/abs/2504.07489

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