A Highly Predictive Neutrino Model: The Step Toward Precision
Pralay Chakraborty, Sagar Tirtha Goswami, Subhankar Roy

TL;DR
This paper proposes a minimal, highly predictive neutrino mass matrix model within an extended symmetry framework, offering precise predictions for neutrino phenomenology and advancing toward precision in neutrino physics.
Contribution
It introduces a novel minimal neutrino mass matrix texture with specific correlations, developed in an extended seesaw framework with multiple symmetry groups.
Findings
Provides unambiguous predictions for neutrino parameters
Establishes correlations among observable neutrino quantities
Advances the precision of neutrino phenomenological models
Abstract
A highly predictive neutrino mass matrix texture is proposed. The texture is minimal and carries two interesting correlations. It gives precise and unambiguous answers to almost all the current issues related to observable parameters in neutrino phenomenology. The texture is developed in a framework of type-I + type-II seesaw mechanisms with an extended group structure of .
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Taxonomy
TopicsNeutrino Physics Research · Particle physics theoretical and experimental studies · Quantum and Classical Electrodynamics
