Misconceptions in Neutrino Oscillations in presence of a non-Unitary Mixing
Mattias Blennow, Pilar Coloma, Enrique Fern\'andez-Mart\'inez, Josu Hern\'andez-Garc\'ia, Jacobo L\'opez-Pav\'on, Xabier Marcano, Daniel Naredo-Tuero, Salvador Urrea

TL;DR
This paper clarifies misconceptions about neutrino oscillation probabilities in scenarios with non-unitary mixing matrices, analyzing their definitions, physical implications, and experimental constraints to improve understanding of potential new physics beyond the Standard Model.
Contribution
It provides a detailed analysis of how non-unitary mixing affects neutrino oscillations, clarifies misconceptions, and compares bounds from oscillation experiments with other precision measurements.
Findings
Oscillation probabilities in non-unitary scenarios can be non-intuitive and require careful definition.
Non-unitary mixing can lead to observable flavor transitions at zero distance.
Updated experimental bounds constrain the degree of non-unitarity in neutrino mixing.
Abstract
Deviations from unitarity of the CKM matrix in the quark sector are considered excellent windows to probe physics beyond the Standard Model. In its leptonic counterpart, the PMNS matrix, these searches are particularly motivated, as the new physics needed to generate neutrino masses often leads to non-unitary mixing among the standard neutrinos. It is then interesting to consider how neutrino oscillations are affected in such scenario. This simple question is, however, subject to several subtleties: What is the correct way to define oscillation probabilities for a non-unitary mixing matrix? Do these probabilities add up to one? Does a non-unitary mixing matrix lead to observable flavor transitions at zero distance? What is the interplay between unitarity constraints obtained from neutrino oscillations and from electroweak precision data? This work aims to shed light on these issues and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
