Bowen Fu
A predictive and testable unified theory of fermion masses, mixing and leptogenesis
Fu, Bowen; King, Stephen F.; Marsili, Luca; Pascoli, Silvia; Turner, Jessica; Zhou, Ye-Ling
Authors
Stephen F. King
Luca Marsili
Silvia Pascoli
Dr Jessica Turner jessica.turner@durham.ac.uk
Associate Professor
Ye-Ling Zhou
Abstract
We consider a minimal non-supersymmetric SO(10) Grand Unified Theory (GUT) model that can reproduce the observed fermionic masses and mixing parameters of the Standard Model. We calculate the scales of spontaneous symmetry breaking from the GUT to the Standard Model gauge group using two-loop renormalisation group equations. This procedure determines the proton decay rate and the scale of U(1)B−L breaking, which generates cosmic strings and the right-handed neutrino mass scales. Consequently, the regions of parameter space where thermal leptogenesis is viable are identified and correlated with the fermion masses and mixing, the neutrinoless double beta decay rate, the proton decay rate, and the gravitational wave signal resulting from the network of cosmic strings. We demonstrate that this framework, which can explain the Standard Model fermion masses and mixing and the observed baryon asymmetry, will be highly constrained by the next generation of gravitational wave detectors and neutrino oscillation experiments which will also constrain the proton lifetime.
Citation
Fu, B., King, S. F., Marsili, L., Pascoli, S., Turner, J., & Zhou, Y. (2022). A predictive and testable unified theory of fermion masses, mixing and leptogenesis. Journal of High Energy Physics, 2022(11), Article 72. https://doi.org/10.1007/jhep11%282022%29072
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 28, 2022 |
Online Publication Date | Nov 14, 2022 |
Publication Date | 2022 |
Deposit Date | Jan 18, 2023 |
Publicly Available Date | Jan 18, 2023 |
Journal | Journal of High Energy Physics |
Print ISSN | 1126-6708 |
Publisher | Scuola Internazionale Superiore di Studi Avanzati (SISSA) |
Peer Reviewed | Peer Reviewed |
Volume | 2022 |
Issue | 11 |
Article Number | 72 |
DOI | https://doi.org/10.1007/jhep11%282022%29072 |
Public URL | https://durham-repository.worktribe.com/output/1185165 |
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Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.
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