Quark-Lepton Complementarity Model Based Predictions for $$\theta _{23}^{PMNS}$$ with Neutrino Mass Hierarchy

Autor: Shankita Bhardwaj, Surender Verma, Bhag C. Chauhan, Gazal Sharma
Rok vydání: 2018
Předmět:
Zdroj: XXII DAE High Energy Physics Symposium ISBN: 9783319731704
Popis: After the successful investigation and confirmation of non zero \(\theta _{13}^{PMNS}\) by various experiments, we are standing at a square where we still encounter a number of issues, which are to be settled. In this paper, we have extended our recent work towards a precise prediction of the \(\theta _{23}^{PMNS}\) mixing angle, taking into account the neutrino mass hierarchy. We parameterize the non-trivial correlation between quark (CKM) and lepton (PMNS) mixing matrices in quark-lepton complementarity (QLC) model as \(V_{c}= U_{CKM}. \psi . U_{PMNS}\), where \(\psi \) is a diagonal phase matrix. Monte Carlo simulations are used to estimate the texture of \(V_{c}\) and compare the results with the standard Tri-Bi-Maximal (TBM) and Bi-Maximal (BM) structures of neutrino mixing matrix. We have predicted the value of \(\theta _{23}^{PMNS} \) for normal and inverted neutrino mass hierarchies. The value of \(\theta _{23}^{PMNS}\) obtained for two cases are about \(1.3\sigma \) away from each other, implying the better precision can give us a strong hint for the type of neutrino mass hierarchy.
Databáze: OpenAIRE