Least-informative priors for 0 ν β β decay searches

Bayesian parameter inference techniques require a choice of prior distribution, which can strongly impact the statistical conclusions drawn. We discuss the construction of least-informative priors for neutrinoless double beta decay searches. Such priors attempt to be objective by maximizing the information gain from an experimental setup. In a parametrization using the lightest neutrino mass ${m}_{l}$ and an effective Majorana phase parameter $\mathrm{\ensuremath{\Phi}}$, we construct such a prior using two different approaches and compare them with the standard flat and logarithmic priors in ${m}_{l}$.