Nnaturalness generates neutrino mass matrices through multi-sector mixing, excludes democratic couplings, and yields a tower of neutrino eigenstates with theory-determined mass splittings.
Large, Extra Dimensions at the Deep Underground Neutrino Experiment
3 Pith papers cite this work. Polarity classification is still indexing.
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abstract
We investigate the potential of the long-baseline Deep Underground Neutrino Experiment (DUNE) to study large-extra-dimension (LED) models originally proposed to explain the smallness of neutrino masses by postulating that right-handed neutrinos, unlike all standard model fermion fields, can propagate in the bulk. The massive Kaluza-Klein (KK) modes of the right-handed neutrino fields modify the neutrino oscillation probabilities and can hence affect their propagation. We show that, as far as DUNE is concerned, the LED model is indistinguishable from a $(3 + 3N)$-neutrino framework for modest values of $N$; $N$ = 1 is usually a very good approximation. Nonetheless, there are no new sources of $CP$-invariance violation other than one $CP$-odd phase that can be easily mapped onto the $CP$-odd phase in the standard three-neutrino paradigm. We analyze the sensitivity of DUNE to the LED framework, and explore the capability of DUNE to differentiate the LED model from the three-neutrino scenario and from a generic $(3 + 1)$-neutrino model.
fields
hep-ph 3representative citing papers
Surveys neutrino masses and mixing in 5D large extra dimension scenarios across four mass-generation cases and derives constraints from oscillation data.
citing papers explorer
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Neutrino Masses and Phenomenology in Nnaturalness
Nnaturalness generates neutrino mass matrices through multi-sector mixing, excludes democratic couplings, and yields a tower of neutrino eigenstates with theory-determined mass splittings.
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Do neutrinos dream in 5D? Towards a comprehensive extra-dimensional neutrino phenomenology
Surveys neutrino masses and mixing in 5D large extra dimension scenarios across four mass-generation cases and derives constraints from oscillation data.
- Dark Dimension Right-handed Neutrinos Confronted with Long-Baseline Oscillation Experiments