$Z^\prime$-mediated Majorana dark matter: suppressed direct-detection rate and complementarity of LHC searches
Autor: | Alanne, T., Bishara, F., Fiaschi, J., Fischer, O., Gorbahn, M., Moldanazarova, U. |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Nuclear and High Energy Physics
interpretation of experiments: CERN LHC Coll scattering [dark matter] New Gauge Interactions FOS: Physical sciences dark matter: direct detection constraint [current] current: constraint High Energy Physics - Phenomenology (hep-ph) benchmark TeV ddc:530 Dark Matter at Colliders mediation dark matter scattering direct detection [dark matter] dark matter: relic density nucleus suppression sensitivity current constraint dark matter: scattering High Energy Physics - Phenomenology CERN LHC Coll SMEFT CERN LHC Coll [interpretation of experiments] Models for Dark Matter relic density [dark matter] direct detection Majorana |
Zdroj: | Journal of high energy physics 08(8), 093 (2022). doi:10.1007/JHEP08(2022)093 Journal of High Energy Physics |
DOI: | 10.3204/PUBDB-2022-00969 |
Popis: | Journal of high energy physics 08(8), 093 (2022). doi:10.1007/JHEP08(2022)093 We study the direct-detection rate for axial-vectorial dark matter scattering off nuclei in an SU(2) × U(1) invariant effective theory and compare it against the LHC reach. Current constraints from direct detection experiments are already bounding the mediator mass to be well into the TeV range for WIMP-like scenarios. This motivates a consistent and systematic exploration of the parameter space to map out possible regions where the rates could be suppressed. We do indeed find such regions and proceed to construct consistent UV models that generate the relevant effective theory. We then discuss the corresponding constraints from both collider and direct-detection experiments on the same parameter space. We find a benchmark scenario, where even for future XENONnT experiment, LHC constraints will have a greater sensitivity to the mediator mass. Published by SISSA, [Trieste] |
Databáze: | OpenAIRE |
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