Bayesian methods for three flavour oscillation analyses in NOvA

NOvA is a long-baseline, accelerator neutrino oscillation experiment that uses two functionally identical detectors with an 810 km baseline to study neutrino oscillation and interaction physics. NOvA measures the muon neutrino deficit and electron neutrino excess with neutrino and anitineutrino beams to probe neutrino oscillation parameters, including the large neutrino mixing angle, the mass ordering and the CP-violating phase. New Bayesian frameworks are being developed for the NOvA neutrino oscillation analyses, using the Markov Chain Monte Carlo technique. This technique will also be used for the joint data analysis of the NOvA and T2K experiments. The motivation and status of the new Bayesian analyses will be presented with the description of the new framework. Comparisons to the NOvA Frequentist analysis and the Bayesian interpretation will be presented and discussed.