dc.contributor.author |
Batra, Nipun |
|
dc.contributor.author |
Coleppa, Baradhwaj |
|
dc.contributor.author |
Khanna, Akshat |
|
dc.contributor.author |
Rai, Santosh Kumar |
|
dc.contributor.author |
Sarkar, Agnivo |
|
dc.coverage.spatial |
United States of America |
|
dc.date.accessioned |
2025-07-25T11:43:47Z |
|
dc.date.available |
2025-07-25T11:43:47Z |
|
dc.date.issued |
2025-07 |
|
dc.identifier.citation |
Batra, Nipun; Coleppa, Baradhwaj; Khanna, Akshat; Rai, Santosh Kumar and Sarkar, Agnivo, "Constraining the 3HDM parameter space using active learning", Physical Review D, DOI: 10.1103/t5df-67wh, vol. 112, no. 01, Jul. 2025. |
|
dc.identifier.issn |
2470-0010 |
|
dc.identifier.issn |
2470-0029 |
|
dc.identifier.uri |
https://doi.org/10.1103/t5df-67wh |
|
dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/11652 |
|
dc.description.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. |
|
dc.description.statementofresponsibility |
by Nipun Batra, Baradhwaj Coleppa, Akshat Khanna, Santosh Kumar Rai and Agnivo Sarkar |
|
dc.format.extent |
vol. 112, no. 01 |
|
dc.language.iso |
en_US |
|
dc.publisher |
American Physical Society |
|
dc.title |
Constraining the 3HDM parameter space using active learning |
|
dc.type |
Article |
|
dc.relation.journal |
Physical Review D |
|