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On the Bayesian approach to neutrino mass ordering
KTH, School of Engineering Sciences (SCI), Theoretical Physics, Theoretical Particle Physics.ORCID iD: 0000-0001-5948-9152
2014 (English)In: Journal of High Energy Physics (JHEP), ISSN 1126-6708, E-ISSN 1029-8479, no 1, 139- p.Article in journal (Refereed) Published
Abstract [en]

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.
Keyword [en]
Neutrino Physics, Statistical Methods
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-142508DOI: 10.1007/JHEP01(2014)139ISI: 000330779500001Scopus ID: 2-s2.0-84893828458OAI: oai:DiVA.org:kth-142508DiVA: diva2:703518
Note

QC 20140307

Available from: 2014-03-07 Created: 2014-03-06 Last updated: 2017-12-05Bibliographically approved

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Blennow, Mattias

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