Statistical Methods for the Neutrino Mass Hierarchy Determination
Pre-published on:
December 14, 2017
Published on:
March 20, 2018
Abstract
In the next decades several experiments will attempt to determine the neutrino mass hierarchy, i.e. the sign of Δm231. Since the two hierarchies are non-nested hypotheses, Δχ2=χ2IH−χ2NH does not follow a one-degree-of-freedom chi-square distribution (for example, it can be negative): it is possible to prove that, under certain assumptions, it follows a Gaussian distribution with σ=2√Δχ2; these assumptions seem to be verified for reactor neutrino experiments, at least in some simplified cases, but, for example, not for accelerator neutrino experiments. I will discuss the possible definitions of sensitivity, using both the Bayesian and the frequentist perspectives, how they should be modified if the conditions for Gaussianity are not fulfilled, and in which cases the two procedures used to treat the pull parameters (marginalization and minimization) yield the same Δχ2. I will focus on the advantages and disadvantages of the different approaches proposed, and in particular on their physical interpretations.
DOI: https://doi.org/10.22323/1.314.0633
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