Data-driven analysis of a SUSY GUT of flavour

@article{Bernigaud2022DatadrivenAO,
  title={Data-driven analysis of a SUSY GUT of flavour},
  author={Jordan Bernigaud and Adam K. Forster and B. Herrmann and Stephen F. King and Werner Porod and Samuel J. Rowley},
  journal={Journal of High Energy Physics},
  year={2022}
}
Abstract We present a data-driven analysis of a concrete Supersymmetric (SUSY) Grand Unified Theory (GUT) of flavour, based on SU(5) × S4, which predicts charged fermion and neutrino mass and mixing, and where the mass matrices of both the Standard Model and the Supersymmetric particles are controlled by a common symmetry at the GUT scale. This framework also predicts non-vanishing non-minimal flavour violating effects, motivating a sophisticated data-driven parameter analysis to uncover the… 

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