Constructing the CKM and PMNS matrices from mixing data
Gulsheen Ahuja, Manmohan Gupta, Monika Randhawa
Abstract
The CKM and PMNS matrices have been constructed based on the latest measurements, largely free from theoretical inputs as well as likely NP effects in the case of the former. To facilitate the construction of the CKM matrix in the PDG representation as well as in view of the comparatively large error in the measured value of the CP violating phase δ, the possibility of its construction from the tree level measured CKM elements has also been explored using the unitarity triangle. In view of the persistent difference between the |Vub| exclusive and inclusive values, we have carried out separate analyses corresponding to these. The PMNS matrix has been constructed by incorporating the constraints due to solar and atmospheric neutrinos as well as by giving full variation to the Dirac-like CP violating phase δand considering different values of s13 having implications for different models of lepton mass matrices. Taking clue from quark mixing phenomenology, an analogous analysis of the leptonic unitarity triangle allows an estimate of the likely presence of CP violation in the leptonic sector.
Create a lesson
Related papers
Electromagnetic form factors of vector mesons in Einstein-dilaton holographic QCD
Alfonso Ballon-Bayona, Tobias Frederico, Luis A. H. Mamani et al.
An invertible map between 3D Breit-frame mechanical distributions and 2D infinite-momentum-frame mechanical densities in spin-1 hadrons
Kemal Tezgin
Adiabatic hydrodynamization with transverse spatial gradients in boost-invariant plasmas
Uri Sharell, Jasmine Brewer, Weiyao Ke
Line shapes of Ω(2012) production in the Ξ K and Ξπ K decay channels
Natsumi Ikeno, Eulogio Oset
A quantum representation of π fragmentation functions through variational quantum circuits
David F. Rentería-Estrada, Roger J. Hernández-Pinto, Germán Rodrigo et al.
Particle Physics Driven by Quantum Technology - Quantum Simulations and Quantum Sensing
Itay M. Bloch, Marcela Carena, Yifan Chen et al.