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Dark Mater Interactions From An Extra U(1) gauge symmetry with kinetic mixing and Higgs charge

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arxiv 2308.12663 v2 pith:SDZX2K5Q submitted 2023-08-24 hep-ph

classification hep-ph
keywords mathrmchargehiggsdarkgaugematterdensitydetection
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

We investigate fermionic dark matter interactions with standard model particles from an additional $\mathrm{U}(1)_\mathrm{X}$ gauge symmetry, assuming kinetic mixing between the $\mathrm{U}(1)_\mathrm{X}$ and $\mathrm{U}(1)_\mathrm{Y}$ gauge fields as well as a nonzero $\mathrm{U}(1)_\mathrm{X}$ charge of the Higgs doublet. For ensuring gauge-invariant Yukawa interactions and the cancellation of gauge anomalies, the standard model fermions are assigned $Y$-sequential $\mathrm{U}(1)_\mathrm{X}$ charges proportional to the Higgs charge. Although the Higgs charge should be small due to collider constraints, it is useful to decrease the effective cross section of dark matter scattering off nucleons by two orders of magnitude and easier evade from direct detection bounds. After some numerical scans performed in the parameter space, we find that the introduction of the Higgs charge can also enhance the dark matter relic density by at least two orders of magnitude. When the observed relic density and the direct detection constraints are tangled, at the case where the resonance effect is important for dark matter freeze-out, the Higgs charge can expand physical windows to some extent by relieving the tension between the relic density and the direct detection.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Interpreting the KM3-230213A PeV Neutrino Event via Vector Dark Matter Decay and Its Multi-Messenger Signatures

    hep-ph 2025-07 conditional novelty 4.0 of 10

    A U(1)_X vector dark matter model explains the KM3-230213A PeV neutrino via DM decay and predicts a cosmic string gravitational wave background consistent with PTA observations, but with several parameters fitted to the data.

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