4.4 Article

Dark matter candidates in a type-II radiative neutrino mass model

Journal

JOURNAL OF HIGH ENERGY PHYSICS
Volume -, Issue 6, Pages -

Publisher

SPRINGER
DOI: 10.1007/JHEP06(2021)072

Keywords

Beyond Standard Model; Cosmology of Theories beyond the SM; Neutrino Physics; Discrete Symmetries

Funding

  1. Spanish Agencia Estatal de Investigacion [FPA2015-65929-P, PGC2018-095161-B-I00]
  2. IFT Centro de Excelencia Severo Ochoa [SEV-2016-0597]
  3. Red Consolider MultiDark [FPA2017-90566-REDC]
  4. P2I research department
  5. SPU research department
  6. P2IO Laboratory of Excellence (program Investissements d'avenir) [ANR-11-IDEX-0003-01, ANR-10-LABX-0038]
  7. Universidad Catolica del Norte through the Publication Incentive program [CPIP20180343, CPIP20200063]

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The model explores the connection between Dark Matter and neutrinos by introducing new electroweakly charged states and imposing a discrete symmetry, generating a stable Dark Matter candidate. Numerical analysis shows that the model can reproduce neutrino masses, correct dark matter density, and viable dark matter masses. Direct and indirect detection signatures are explored, showing promising detection prospects with CTA, Darwin, and KM3Net, highlighting the complementarity between these observables.
We explore the connection between Dark Matter and neutrinos in a model inspired by radiative Type-II seessaw and scotogenic scenarios. In our model, we introduce new electroweakly charged states (scalars and a vector-like fermion) and impose a discrete Z(2) symmetry. Neutrino masses are generated at the loop level and the lightest Z(2)-odd neutral particle is stable and it can play the role of a Dark Matter candidate. We perform a numerical analysis of the model showing that neutrino masses and flavour structure can be reproduced in addition to the correct dark matter density, with viable DM masses from 700 GeV to 30 TeV. We explore direct and indirect detection signatures and show interesting detection prospects by CTA, Darwin and KM3Net and highlight the complementarity between these observables.

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