Within the Inert Doublet Model, machine-learning selection could make charged Higgs pair production at a 10-14 TeV muon collider a 5-sigma probe of dark matter for several benchmark points.
h\to \gamma \gamma In Inert Higgs Doublet Model
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abstract
Motivated by the recent result reported from LHC on the di-photon search for a Standard Model (SM) Higgs-like boson. We discuss the implications of this possible signal in the framework of the Inert Higgs Doublet Model (IHDM), taking into account previous limits from Higgs searches at LEP, the Tevatron and the LHC as well as constraints from unitarity, vacuum stability and electroweak precision tests. We show that the charged Higgs contributions can interfere constructively or destructively with the W gauge bosons loops leading to enhancement or suppression of the di-photon rate with respect to SM rate. We show also that the invisible decay of the Higgs, if open, could affect the total width of the SM Higgs boson and therefore suppress the di-photon rate.
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis
Within the Inert Doublet Model, machine-learning selection could make charged Higgs pair production at a 10-14 TeV muon collider a 5-sigma probe of dark matter for several benchmark points.