# ICHEP 2016 Chicago

3-10 August 2016
Chicago IL USA
US/Central timezone
There is a live webcast for this event.

## Numerical analysis of SO(10) models with flavour symmetries

Aug 8, 2016, 6:30 PM
2h
Riverwalk A/B

### Riverwalk A/B

Poster Formal Theory Developments

### Speaker

Darius Jurciukonis (Vilnius University (LT))

### Description

We consider a supersymmetric $SO(10)$ Grand Unified Theory (GUT) in which the fermion masses are generated by renormalizable Yukawa couplings. Consequently, the scalar multiplets under consideration belong to the irreps $\mathbf{10}$, $\overline{\mathbf{126}}$, and $\mathbf{120}$ of $SO(10)$. We perform a complete investigation of the possibilities of imposing flavour symmetries in this scenario; the purpose is to reduce the number of Yukawa coupling constants in order to identify potentially predictive models. We have found that there are 14 inequivalent cases of Yukawa coupling matrices, out of which 13 cases pertain to one-generator Abelian groups and only one case has a two-generator symmetry group. Supersymmetry enters through the numerical examination of those cases, in which we have used the charged-fermion masses evaluated at the GUT scale through renormalization-group running in the context of the Minimal Supersymmetric Standard Model. However, the numerical analysis rules out almost all the cases, leaving only a few viable ones which are compatible with the data on the fermion masses and mixings. In order to test the viability of each case and to find adequate numerical values for its parameters, we construct a minimization function $\chi^2$ which relates experimental data with the observables (masses and mixing parameters) to be fitted. The minimization of $\chi^2$ is a difficult task because (a) parameters differ by several orders of magnitude, and (b) the number of local minima is always large. For the numerical minimization we have employed the Differential Evolution algorithm. This is a stochastic algorithm that exploits a population of potential solutions in order to effectively probe the parameter space. By modifying uncertainties in the $\chi^2$ function and diversely restricting parameter space we have been able to test more local minima for each case, and to find the minima closer to the global minimum.

### Primary author

Darius Jurciukonis (Vilnius University (LT))

### Co-authors

Dr Luis Lavoura (CFTP, Instituto Superior Tecnico, Universidade de Lisboa) Pedro Ferreira (ISEL—Instituto Superior de Engenharia de Lisboa) Dr Walter Grimus (University of Vienna, Faculty of Physics)

### Presentation materials

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