Description
NOvA is a long-baseline, neutrino oscillation experiment that uses accelerator neutrinos to study neutrino interaction and oscillation physics. NOvA measures neutrinos in their unoscillated state with the Near Detector with a 1km baseline, whilst measuring electron neutrino excess and muon neutrino deficit at the Far Detector with a 810km baseline, with both neutrino and anti-neutrino beams. These measurements are used to extract the neutrino oscillation parameters, including the mass ordering, neutrino mixing angles and the CP-violating phase. The latest oscillation results from NOvA were presented at Neutrino2020 using a Frequentist formalism. In this poster we present a framework used to re-analyse the same data, but with Bayesian Inference via Markov Chain Monte Carlo algorithms. We describe the motivation and technical aspects of Bayesian analysis with Markov Chains in the context of NOvA, together with the Bayesian interpretation.
| Collaboration | NOvA |
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