Fermion masses and mixings in supersymmetric SO(10) with third-generation quasi-Yukawa unification
Shaikh Saad, Qaisar Shafi

TL;DR
This paper explores fermion masses and mixings in a supersymmetric SO(10) model with minimal Higgs content, incorporating non-renormalizable couplings to accurately reproduce observed quark and lepton properties, and identifies solutions consistent with third-generation quasi-Yukawa unification.
Contribution
It introduces a framework with non-renormalizable Yukawa couplings in a minimal Higgs SO(10) model, achieving realistic fermion mass and mixing fits including third-generation quasi-Yukawa unification.
Findings
Identifies a preferred solution with $y_t \,\approx\, y_b \,\approx\, 0.73 y_{\tau}$ at unification.
Provides right-handed neutrino mass estimates around $10^9$ to $10^{13}$ GeV.
Achieves solutions with both high and low $ an\beta$ values.
Abstract
We discuss the charged and neutral fermion masses and mixings in a supersymmetric SO(10) model with a minimal Higgs sector consisting of the multiplets , , and . In addition to the renormalizable Yukawa couplings involving the Higgs 10-plet, we include non-renormalizable Yukawa couplings, which are important for reproducing with good accuracy the observed masses and mixings in the quark and lepton sectors. We identify a preferred solution which is compatible with third family quasi-Yukawa unification, namely at the unification scale, with the MSSM parameter . Acceptable solutions with lower values are also realized in our framework, and we provide an example with . Based on our fits, the masses for the three right-handed neutrinos turn out to be…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · Neutrino Physics Research · Computational Physics and Python Applications
