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Effective alignments as building blocks of flavor models

de Medeiros Varzielas, Ivo; Neder, Thomas; Zhou, Ye-Ling

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Authors

Ivo de Medeiros Varzielas

Thomas Neder

Ye-Ling Zhou



Abstract

Flavor models typically rely on flavons—scalars that break the family symmetry by acquiring vacuum expectation values in specific directions. We develop the idea of effective alignments, i.e., cases where the contractions of multiple flavons give rise to directions that are hard or impossible to obtain directly by breaking the family symmetry. Focusing on the example where the symmetry is S 4 , we list the effective alignments that can be obtained from flavons vacuum expectation values that arise naturally from S 4 . Using those effective alignments as building blocks, it is possible to construct flavor models, for example by using the effective alignments in constrained sequential dominance models. We illustrate how to obtain several of the mixing schemes in the literature, and explicitly construct renormalizable models for three viable cases, two of which lead to trimaximal mixing scenarios.

Citation

de Medeiros Varzielas, I., Neder, T., & Zhou, Y.-L. (2018). Effective alignments as building blocks of flavor models. Physical Review D, 97(11), Article 115033. https://doi.org/10.1103/physrevd.97.115033

Journal Article Type Article
Online Publication Date Jun 20, 2018
Publication Date Jun 20, 2018
Deposit Date Jul 5, 2018
Publicly Available Date Jul 5, 2018
Journal Physical Review D
Print ISSN 2470-0010
Electronic ISSN 2470-0029
Publisher American Physical Society
Peer Reviewed Peer Reviewed
Volume 97
Issue 11
Article Number 115033
DOI https://doi.org/10.1103/physrevd.97.115033
Public URL https://durham-repository.worktribe.com/output/1322405

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.






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