AMBer applies reinforcement learning with physics feedback to automate construction of neutrino flavor models that minimize free parameters, validated on known cases and extended to a new symmetry group.
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In the minimal pseudo-Dirac HNL scenario, light-neutrino oscillation data fixes an ellipse in the active flavour simplex for leading active-heavy interactions via a single complex amplitude and Majorana phase.
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Neutrino oscillation data and a pseudo-Dirac heavy neutral lepton
In the minimal pseudo-Dirac HNL scenario, light-neutrino oscillation data fixes an ellipse in the active flavour simplex for leading active-heavy interactions via a single complex amplitude and Majorana phase.