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Radiative Mass Mechanism: Addressing the Flavour Hierarchy and Strong CP Puzzle

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arxiv 2411.13385 v2 pith:F7WKMGNC submitted 2024-11-20 hep-ph hep-th

classification hep-phhep-th
keywords flavourscalestrongbreakingmassesmodelparitysymmetry
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We propose a class of models based on the parity invariant Left-Right Symmetric Model (LRSM), which incorporates the mechanism of radiative generation of fermion masses while simultaneously possessing the solution to the Strong CP problem. A flavour non-universal gauged abelian symmetry is imposed on top of LRSM, which helps in inducing the masses of second and first-generation fermions at one-loop and two-loop, respectively, and thereby reproduces the hierarchical spectrum of the masses. Parity invariance requires the vanishing of the strong CP parameter at the zeroth order, and the non-zero contribution arises at the two-loop level, which is in agreement with the experimental constraints. The minimal model predicts flavour symmetry breaking scale and the $SU(2)_R$ symmetry breaking scale at the same level. flavour non-universality of the new gauge interaction leads to various flavour-changing transitions both in quarks and leptonic sectors and, therefore, has various phenomenologically interesting signatures. The model predicts a new physics scale near $10^8$ GeV or above for phenomenological consistent solutions. This, in turn, restricts strong CP phase $\bar{\theta} \lesssim 10^{-14}$ as the parity breaking scale and flavour scale are related in the minimal framework.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Radiative Mass Generation in Gauged Theories of Flavour: A Path to Fermion Mass Hierarchies

    hep-ph 2025-06 conditional novelty 7.0 of 10

    Fermion mass hierarchies can arise because only the third generation gets tree-level mass, with first and second generation masses generated by gauge-boson loops in specific UV-complete models.

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