Estimation of neutrino oscillation parameters with Markov Chain Monte Carlo

30 May 2016, 16:40
Poster PhyStat-nu Short Poster Talks


Ms Leïla HAEGEL (Université de Genève)


The T2K experiment is a long-baseline accelerator neutrino experiment with the ability to measure Δm32, θ23, θ13 and δCP from (anti-)νμ disappearance as well as (anti-)νe appearance. In this poster we show a Bayesian framework using the Metropolis-Hastings algorithm to estimate the oscillation parameters. The advantage of Markov Chain Monte Carlo is its ability to scan a multidimensional parameter space, allowing to evaluate at the same time the oscillation parameters and the systematic uncertainties on the neutrino interaction model, accelerator flux model and detector reconstruction. We present the results obtained for a simultaneous fit of νμ disappearance and νe appearance, and a probability of anti-νe appearance.

Primary author

Ms Leïla HAEGEL (Université de Genève)

Presentation Materials

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