17–21 Jul 2023
University of Southampton Highfield Campus
Europe/London timezone

Updated global bounds on heavy neutrino mixing

19 Jul 2023, 18:00
20m
B100/3023

B100/3023

Parallel talks Flavour physics: Theory and Experiment Flavour physics: Theory and Experiment

Speaker

Daniel Naredo (IFT-UAM/CSIC)

Description

We present an updated and improved global fit analysis of current flavor and electroweak precision observables to derive bounds on unitarity deviations of the PMNS mixing matrix and the mixing of heavy neutrinos with the active flavours.
This new analysis is motivated by new and updated experimental results on key observables such as $V_{ud}$, the invisible decay width of the $Z$ boson and the $W$ boson mass. It also improves upon previous studies by considering the full correlations among the different observables and explicitly calibrating the test statistic, which may present significant deviations from a $\chi^2$ distribution.
The results are provided for three different scenarios: the minimal scenario with only two additional right-handed neutrinos, the next to minimal one with three extra neutrinos, and the most general one with an arbitrary number of heavy neutrinos that we parametrize via a generic deviation from a unitary lepton mixing matrix. Additionally, we also analyze the case of generic deviations from unitarity of the PMNS matrix, not necessarily induced by the presence of additional neutrinos. This last case relaxes some correlations among the parameters and is able to provide a better fit to the data. Nevertheless, inducing only PMNS unitarity deviations avoiding both the correlations implied by the right-handed neutrino extension as well as more strongly constrained operators is challenging and would imply significantly more complex UV completions.

Authors

Daniel Naredo (IFT-UAM/CSIC) Enrique Fernandez Martinez (IFT/UAM) Jacobo Lopez Pavon (IFIC, CSIC-Universitat de València) Josu Hernandez Garcia (Eotvos Lorand University (HU)) Mattias Blennow (KTH Royal Institute of Technology) Xabier Marcano (UAM-IFT)

Presentation materials