Probing the Inert Doublet Model via Vector-Boson Fusion at a Muon Collider
Johannes Braathen, Martin Gabelmann, Tania Robens, Panagiotis Stylianou

TL;DR
This paper assesses the potential of a 10 TeV muon collider to detect the Inert Doublet Model's dark matter candidates through vector boson fusion processes, employing advanced analysis techniques and considering collider energy impacts.
Contribution
It introduces a detailed analysis of IDM detection prospects at a muon collider using VBF channels, including machine learning methods and energy comparison, highlighting the collider's discovery potential.
Findings
VBF processes show significant enhancement over the Standard Model.
Machine learning improves sensitivity in detecting IDM signals.
A 10 TeV muon collider is highly promising for IDM discovery.
Abstract
In this work, we explore the discovery potential of the Inert Doublet Model (IDM) via the vector boson fusion (VBF) channel at a muon collider with centre-of-mass energy of 10 TeV. The Inert Doublet Model is a two-Higgs-doublet model variant with an unbroken discrete symmetry, featuring new stable scalar particles that can serve as dark matter candidates. Current dark matter data constrain the phenomenologically viable parameter space of the IDM and render certain collider signatures elusive due to tiny couplings. However, VBF-type processes can still exhibit significant enhancements compared to the Standard Model, presenting a promising avenue to probe the IDM at a high-energy muon collider. We consider as our specific target process , where and are the lightest and second-lightest new…
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