• Open Access

Disentangling the seesaw mechanism in the left-right model: An algorithm for the general case

Joshua Kiers, Ken Kiers, Alejandro Szynkman, and Tatiana Tarutina
Phys. Rev. D 107, 075001 – Published 3 April 2023

Abstract

Senjanović and Tello have analyzed how one could determine the neutrino Dirac mass matrix in the minimal left-right model, assuming that the mass matrices for the light and heavy neutrinos could be taken as inputs. They provided an analytical solution for the Dirac mass matrix in the case that the left-right symmetry is implemented via a generalized parity symmetry and that this symmetry remains unbroken in the Dirac-Yukawa sector. We extend the work of Senjanović and Tello to the case in which the generalized parity symmetry is broken in the Dirac-Yukawa sector. In this case, the elegant method outlined by Senjanović and Tello breaks down and we need to adopt a numerical approach. Several iterative approaches are described; these are found to work in some cases but to be highly unstable in others. A stable, prescriptive numerical algorithm is described that works in all but a vanishingly small number of cases. We apply this algorithm to numerical datasets that are consistent with current experimental constraints on neutrino masses and mixings. We also provide some additional context and supporting explanations for the case in which the parity symmetry is unbroken.

  • Figure
  • Figure
  • Figure
  • Figure
  • Received 12 January 2023
  • Accepted 8 March 2023

DOI:https://doi.org/10.1103/PhysRevD.107.075001

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.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Particles & Fields

Authors & Affiliations

Joshua Kiers1,*, Ken Kiers2,†, Alejandro Szynkman3,‡, and Tatiana Tarutina4,§

  • 1Department of Mathematical and Computational Sciences, Marian University, 3200 Cold Spring Rd., Indianapolis, Indiana 46222, United States
  • 2Physics Department, Taylor University, 1846 Main Street, Upland, Indiana 46989, United States
  • 3IFLP, CONICET—Dpto. de Física, Universidad Nacional de La Plata, C.C. 67, 1900 La Plata, Argentina
  • 4IFLP, CONICET, Diagonal 113 e/ 63 y 64, 1900 La Plata, Argentina

  • *jkiers@marian.edu
  • knkiers@taylor.edu
  • szynkman@fisica.unlp.edu.ar
  • §tarutina@fisica.unlp.edu.ar

Article Text

Click to Expand

References

Click to Expand
Issue

Vol. 107, Iss. 7 — 1 April 2023

Reuse & Permissions
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review D

Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

×

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×