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Global fits of simplified models for dark matter with GAMBIT II. Vector dark matter with an $s$-channel vector mediator

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arxiv 2303.08351 v2 pith:CXFYBTXU submitted 2023-03-15 hep-ph

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

Global fits explore different parameter regions of a given model and apply constraints obtained at many energy scales. This makes it challenging to perform global fits of simplified models, which may not be valid at high energies. In this study, we derive a unitarity bound for a simplified vector dark matter model with an $s$-channel vector mediator, and apply it to global fits of this model with \GB in order to correctly interpret missing energy searches at the LHC. Two parameter space regions emerge as consistent with all experimental constraints, corresponding to different annihilation modes of the dark matter. We show that although these models are subject to strong validity constraints, they are currently most strongly constrained by measurements less sensitive to the high-energy behaviour of the theory. Understanding when these models cannot be consistently studied will become increasingly relevant as they are applied to LHC Run 3 data.

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Cited by 2 Pith papers

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

  1. Numerical polology: towards next-generation model-building for cosmology

    astro-ph.CO 2026-06 unverdicted novelty 7.0 of 10

    Numerical polology framework samples coupling space to discover ghost-free tensor field theories up to rank three for cosmology, then applies resulting priors to black hole superradiance, dynamical dark energy, and GW data.

  2. Conversions in two-component dark sectors: a phase space level analysis

    hep-ph 2025-02 conditional novelty 7.0 of 10

    In the double Coy dark matter model, full phase-space Boltzmann evolution with conversions changes relic abundances by up to an order of magnitude per component and by more than 100% for the total in some parameter regions.

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