Speaker
Graham Van Goffrier
(University College London)
Description
Neutrinoless double-beta decay is a unique probe of BSM physics, owing to its sensitivity to both the neutrino mass scale and the proposed Majorana nature of neutrinos. In this research, we explore the Bayesian inference of constraints on neutrino mass and Majorana phases via Markov-Chain Monte Carlo (MCMC) methods. In particular we study the role that prior assumptions play in inference by constructing suitable least-informative reference priors, and analyze the consequences of correlated errors on theoretical calculations of 0νββ nuclear matrix elements.
Author
Graham Van Goffrier
(University College London)
