Vector Boson Fusion in the Inert Doublet Model

TL;DR

This paper explores the potential of Vector Boson Fusion searches at the LHC to detect inert Higgs doublet models, demonstrating improved sensitivity over monojet searches through optimized selection cuts.

Contribution

It introduces optimized VBF search strategies for the inert doublet model and compares their effectiveness with monojet and Drell-Yan cuts.

Findings

VBF searches outperform monojet searches in probing the model.

Optimized cuts extend the reach for smaller charged Higgs masses.

3σ discovery potential is established for high luminosity.

Abstract

In this paper we probe inert Higgs doublet model at the LHC using Vector Boson Fusion (VBF) search strategy. We optimize the selection cuts and investigate the parameter space of the model and we show that the VBF search has a better reach when compared with the monojet searches. We also investigate the Drell-Yan type cuts and show that they can be important for smaller charged Higgs masses. We determine the $3\sigma$ reach for the parameter space using these optimized cuts for a luminosity of 3000 fb$^{-1}$.