2 papers
hep-ex2026
A Bayesian approach to the long-baseline neutrino oscillation sensitivity of DUNE
DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1278
The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is evaluated using a Bayesian Markov Chain Monte Carlo (MCMC) approach. This analysis use…
hep-ex2025
Monte Carlo method for constructing confidence intervals with unconstrained and constrained nuisance parameters in the NOvA experiment
M. A. Acero, B. Acharya, P. Adamson +218
Measuring observables to constrain models using maximum-likelihood estimation is fundamental to many physics experiments. Wilks' theorem provides a simple way to construct confiden…