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The Z₅ model of two-component dark matter

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arxiv 2006.14922 v1 pith:TWXL5FCZ submitted 2020-06-26 hep-ph

The Z₅ model of two-component dark matter

classification hep-ph
keywords darkmattermodelscalardetectionparticlessingletsymmetry
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Scenarios for multi-component scalar dark matter based on a single $Z_N$ ($N\geq 4$) symmetry are simple and well-motivated. In this paper we investigate, for the first time, the phenomenology of the $Z_5$ model for two-component dark matter. This model, which can be seen as an extension of the well-known singlet scalar model, features two complex scalar fields--the dark matter particles--that are Standard Model singlets but have different charges under a $Z_5$ symmetry. The interactions allowed by the $Z_5$ give rise to novel processes between the dark matter particles that affect their relic densities and their detection prospects, which we study in detail. The key parameters of the model are identified and its viable regions are characterized by means of random scans. We show that, unlike the singlet scalar model, dark matter masses below the TeV are still compatible with present data. Even though the dark matter density turns out to be dominated by the lighter component, we find that current and future direct detection experiments may be sensitive to signals from both dark matter particles.

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Cited by 2 Pith papers

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

  1. FIMPs in a two-component dark matter model with $Z_2 \times Z_4$ symmetry

    hep-ph 2026-02 conditional novelty 5.0

    In a Z2×Z4 two-component FIMP model, the scalar coupling λds can be as small as ~10^-20 to 10^-24 while h2-mediated processes still control scalar dark matter production.

  2. Two-Component Dark Matter with an SU(2) Dark Sector

    hep-ph 2025-12 conditional novelty 5.0

    A hidden SU(2) gauge sector that breaks to a Z3-protected two-component dark matter scenario is shown to have parameter points satisfying existing constraints.