Mu-tau symmetry and the Littlest Seesaw
Mu-tau symmetry and the Littlest Seesaw
Motivated by the latest neutrino oscillation data which is consistent with maximal atmospheric mixing and maximal leptonic CP violation, we review various results in μτ symmetry, then include several new observations and clarifications, including identifying a new general form of neutrino mass matrix with μτ symmetry. We then apply the new results to the neutrino mass matrix associated with the Littlest Seesaw model, and show that it approximately satisfies the new general form with μτ symmetry, and that this is responsible for its approximate predictions of maximal atmospheric mixing and maximal CP violation in the lepton sector.
391-398
King, Stephen F.
f8c616b7-0336-4046-a943-700af83a1538
Nishi, Celso C.
a474f13b-4c4a-4823-88df-6f237e2824d0
10 October 2018
King, Stephen F.
f8c616b7-0336-4046-a943-700af83a1538
Nishi, Celso C.
a474f13b-4c4a-4823-88df-6f237e2824d0
King, Stephen F. and Nishi, Celso C.
(2018)
Mu-tau symmetry and the Littlest Seesaw.
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics, 785, .
(doi:10.1016/j.physletb.2018.08.056).
Abstract
Motivated by the latest neutrino oscillation data which is consistent with maximal atmospheric mixing and maximal leptonic CP violation, we review various results in μτ symmetry, then include several new observations and clarifications, including identifying a new general form of neutrino mass matrix with μτ symmetry. We then apply the new results to the neutrino mass matrix associated with the Littlest Seesaw model, and show that it approximately satisfies the new general form with μτ symmetry, and that this is responsible for its approximate predictions of maximal atmospheric mixing and maximal CP violation in the lepton sector.
Text
1-s2.0-S0370269318306713-main
- Version of Record
More information
Accepted/In Press date: 17 August 2018
e-pub ahead of print date: 30 August 2018
Published date: 10 October 2018
Identifiers
Local EPrints ID: 423766
URI: http://eprints.soton.ac.uk/id/eprint/423766
ISSN: 0370-2693
PURE UUID: c8dc5b25-fe8b-448b-a437-206701736277
Catalogue record
Date deposited: 01 Oct 2018 16:30
Last modified: 17 Mar 2024 12:10
Export record
Altmetrics
Contributors
Author:
Celso C. Nishi
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics