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The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment which aims to make world-leading precision measurements. DUNE will produce an intense beam of neutrinos at the Fermilab directed at SURF in South Dakota, providing a 1285 km baseline. Neutrino interactions will be measured by a near detector facility at Fermilab and a far detector facility at SURF. As a consequence of neutrino oscillation, DUNE will observe the disappearance of muon neutrinos and antimuon neutrinos, along with the appearance of electron neutrinos and antielectron neutrinos. The observation of these neutrino oscillation channels provides DUNE with sensitivity to neutrino oscillation parameters as well as the neutrino mass ordering.
To ensure that the experiment will achieve its physics goals, sensitivity studies are performed based on predictions of the neutrino event distributions that DUNE will observe. The results of these studies will also motivate and justify design choices that have an impact on sensitivity. This seminar presents the First Bayesian neutrino oscillation sensitivities of DUNE. Some of the advantages of using a Bayesian approach will be highlighted, as well as active developments to the techniques to be used for future analyses.