Probing Multicomponent Extension of Inert Doublet Model with a Vector Dark Matter
Sreemanti Chakraborti, Amit Dutta Banik, and Rashidul Islam

TL;DR
This paper extends the Inert Doublet Model by adding a vector dark matter component, enabling it to better explain dark matter in the intermediate mass range and produce detectable signals at the LHC.
Contribution
It introduces a multicomponent dark matter model with a vector component, enhancing relic density and collider signatures over the traditional inert doublet model.
Findings
Relic density of dark matter is significantly increased in the 100-500 GeV range.
The model predicts an excess in missing transverse energy distributions at the LHC.
Enhanced detection prospects for dark matter in collider experiments.
Abstract
Although theoretically well-motivated as a minimal consistent Dark Matter (DM) model, the Inert Doublet Model (IDM) fell short in explaining the existence of DM in the intermediate mass region ( GeV). We try to address this problem by introducing an additional vector dark matter. We show that the relic density of inert dark matter candidate can be enhanced significantly with new interactions in the intermediate mass region GeV in the multicomponent dark matter model when compared with the usual single component inert doublet model. We also show that we can get a reasonable excess in the distribution if we do not apply a very hard cut on it as is customary in any dark matter search at the LHC.
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