Constraining the 3HDM Parameter Space using Active Learning
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866913943225630720 |
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| author | Batra, Nipun Coleppa, Baradhwaj Khanna, Akshat Rai, Santosh Kumar Sarkar, Agnivo |
| author_facet | Batra, Nipun Coleppa, Baradhwaj Khanna, Akshat Rai, Santosh Kumar Sarkar, Agnivo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_07489 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Constraining the 3HDM Parameter Space using Active Learning Batra, Nipun Coleppa, Baradhwaj Khanna, Akshat Rai, Santosh Kumar Sarkar, Agnivo High Energy Physics - Phenomenology 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. |
| title | Constraining the 3HDM Parameter Space using Active Learning |
| topic | High Energy Physics - Phenomenology |
| url | https://arxiv.org/abs/2504.07489 |