Majorana dark matter and neutrino mass with S3 symmetry

Mishra, Subhasmita (2020) Majorana dark matter and neutrino mass with S3 symmetry. The European Physical Journal Plus, 135 (6). ISSN 2190-5444

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Abstract

This model includes a minimal extension of the standard model with S3 and Z2 symmetries to explain neutrino masses and mixing along with the dark matter phenomenology. Neutrino phenomenology is explored, consistent with the 3 σ observation of oscillation parameters, and a nonzero reactor mixing angle (θ13) is obtained. The S3 singlet Majorana neutrino couples to the third generation of leptons, which gives a correct relic density compatible with the Planck data. This model does not allow tree-level direct detection; therefore, we discuss the loop-level effective interaction with the nucleus mediated by gauge boson, which is allowed by the experimental limit of LUX and PICO-60. Also the constraints from the lepton flavor violating rare decay mode are commented. However, this model has some limitations to address the exact quark mixing and is consistent with the block diagonal structure of quark mixing matrix and nearly massless first-generation quarks. This can be resolved by the extension of the quark or Higgs sector of the present model, which is not explored in the current analysis. © 2020, Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature.

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IITH Creators:
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Item Type: Article
Additional Information: I acknowledge DST Inspire for its financial support. I am thankful to Prof. Anjan Giri for his useful guidance and also acknowledge Nimmala Narendra and Dr. Shivaramakrishna Singirala and Dr. Nirakar Sahoo for their helpful discussions toward this work.
Uncontrolled Keywords: Dark matter; Neutrino masses; S 3 flavor symmetry
Subjects: Physics
Divisions: Department of Physics
Depositing User: . LibTrainee 2021
Date Deposited: 15 Nov 2022 08:55
Last Modified: 15 Nov 2022 08:55
URI: http://raiithold.iith.ac.in/id/eprint/11230
Publisher URL: http://doi.org/10.1140/epjp/s13360-020-00461-1
OA policy: https://v2.sherpa.ac.uk/id/publication/21826
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