# Voyage Across the 2HDM Type-II with Magellan

**Authors:** Elena Accomando, David Englert, Ciara Byers, Jonathan Hays, Stefano, Moretti

arXiv: 1905.07313 · 2022-03-29

## TL;DR

This paper reviews the 2HDM Type-II model's current status using a new numerical framework, Magellan, which efficiently explores the parameter space and incorporates experimental data and future measurement prospects.

## Contribution

Introduction of Magellan, a novel Markov Chain Monte Carlo framework, for comprehensive and efficient exploration of the 2HDM Type-II parameter space with current and future experimental data.

## Key findings

- Magellan effectively explores the full parameter space of 2HDM Type-II.
- The framework integrates current Higgs search results and can incorporate future measurements.
- Demonstrated application to neutral heavy Higgs boson production and decay modes.

## Abstract

We review the status of the 2-Higgs Doublet Model (2HDM) Type-II, in the light of the current experimental results and various theoretical consistency conditions. In doing so, we adopt a new numerical framework, called Magellan, to explore the full parameter space of the model. Magellan uses a simple, Markov Chain Monte Carlo technique for the exploration and leverages the use of modern tools, allowing the user to perform inference on the model in an efficient way. The framework exploits the output of well-known Higgs production and decay programs, together with that of packages implementing the current results of both direct and indirect Higgs boson searches. We further illustrate how future measurements can be incorporated in such a framework, through the example of neutral heavy Higgs boson production and decay via the gluon-gluon fusion mode in a variety of final states.

## Full text

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## Figures

35 figures with captions in the complete paper: https://tomesphere.com/paper/1905.07313/full.md

## References

72 references — full list in the complete paper: https://tomesphere.com/paper/1905.07313/full.md

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Source: https://tomesphere.com/paper/1905.07313