On the Bayesian approach to neutrino mass ordering
2014 (English)In: Journal of High Energy Physics (JHEP), ISSN 1029-8479, E-ISSN 1126-6708, no 1, 139- p.Article in journal (Refereed) Published
We study the framework of Bayesian statistics for analyzing the capabilities and results of future experiments looking to solve the issue of the neutrino mass ordering. Starting from the general scenario, we then give examples of the procedure for experiments with Gaussian and non-Gaussian distributions for the indicator. We describe in detail what can and cannot be said about the neutrino mass ordering and a future experiment's capabilities to determine it. Finally, we briefly comment on the application to other binary measurements, such as the determination of the octant of theta (23).
Place, publisher, year, edition, pages
2014. no 1, 139- p.
Neutrino Physics, Statistical Methods
IdentifiersURN: urn:nbn:se:kth:diva-142508DOI: 10.1007/JHEP01(2014)139ISI: 000330779500001ScopusID: 2-s2.0-84893828458OAI: oai:DiVA.org:kth-142508DiVA: diva2:703518
QC 201403072014-03-072014-03-062014-03-07Bibliographically approved