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A $$\nu $$ ν approach to analyzing neutrino data in the $${\textbf{R}}$$ R -parity-violating MSSM

Authors :
Herbi K. Dreiner
Dominik Köhler
Saurabh Nangia
Source :
European Physical Journal C: Particles and Fields, Vol 83, Iss 1, Pp 1-21 (2023)
Publication Year :
2023
Publisher :
SpringerOpen, 2023.

Abstract

Abstract The R-parity-violating Minimal Supersymmetric Standard Model (RPV-MSSM) can naturally accommodate massive neutrinos as required by the oscillation data. However, studying the phenomenology is complicated due to the large number of undetermined parameters involved. Thus, studies are usually restricted to specific submodels. In this work, we develop an approach that allows us to be less restrictive. Working in (almost) the completely general RPV-MSSM setting, we analyze the structure of the neutrino mass matrix, and identify – for the case of two massive neutrinos – only four minimal classes of structures that can solve the neutrino data; we call these Minimal Oscillation Models (MOMs). We study the general features of each MOM class, and present numerical fits to the oscillation data. Our approach allows us to study all RPV models satisfying the neutrino data in a unified manner, as long as they satisfy the MOM criteria. Through several examples, we show that this indeed holds for many interesting scenarios.

Details

Language :
English
ISSN :
14346052
Volume :
83
Issue :
1
Database :
Directory of Open Access Journals
Journal :
European Physical Journal C: Particles and Fields
Publication Type :
Academic Journal
Accession number :
edsdoj.5e9359f50d794a87bc1e52a4a4761179
Document Type :
article
Full Text :
https://doi.org/10.1140/epjc/s10052-022-11161-8