Minimal consistent Dark Matter models for systematic experimental characterisation: fermion Dark Matter

Abstract

The search for a Dark Matter particle is the new grail and hard-sought nirvana of the particle physics community. From the theoretical side, it is the main challenge to provide a consistent and model-independent tool for comparing the bounds and reach of the diverse experiments. We propose a first complete classification of minimal consistent Dark Matter models, abbreviated as MCDMs, that are defined by one Dark Matter weak multiplet with up to one mediator multiplet. This classification provides the missing link between experiments and top-down models. Consistency is achieved by imposing renormalisability and invariance under the full Standard Model symmetries. We apply this paradigm to the fermionic Dark Matter case. We also reconsider the one-loop contributions to direct detection, including the relevant effect of (small) mass splits in the Dark multiplet. Our work highlights the presence of unexplored viable models, and paves the way for the ultimate systematic hunt for the Dark Matter particle.

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Identifiers

ORCID for Alexander Belyaev: orcid.org/0000-0002-1733-4408

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