Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Precision neutrino experiments vs the Littlest Seesaw.

Ballett, Peter and King, Stephen F. and Pascoli, Silvia and Prouse, Nick and Wang, TseChun (2017) 'Precision neutrino experiments vs the Littlest Seesaw.', Journal of high energy physics., 2017 (03). p. 110.

Abstract

We study to what extent upcoming precision neutrino oscillation experiments will be able to exclude one of the most predictive models of neutrino mass and mixing: the Littlest Seesaw. We show that this model provides a good fit to current data, predicting eight observables from two input parameters, and provide new assessments of its predictions and their correlations. We then assess the ability to exclude this model using simulations of upcoming neutrino oscillation experiments including the medium-distance reactor experiments JUNO and RENO-50 and the long-baseline accelerator experiments DUNE and T2HK. We find that an accurate determination of the currently least well measured parameters, namely the atmospheric and solar angles and the CP phase δ, provide crucial independent tests of the model. For θ13 and the two mass-squared differences, however, the model’s exclusion requires a combination of measurements coming from a varied experimental programme. Our results show that the synergy and complementarity of future experiments will play a vital role in efficiently discriminating between predictive models of neutrino flavour, and hence, towards advancing our understanding of neutrino oscillations in the context of the flavour puzzle of the Standard Model.

Item Type:Article
Full text:(VoR) Version of Record
First Live Deposit - 03 April 2017
Available under License - Creative Commons Attribution.
Download PDF
(2427Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1007/JHEP03(2017)110
Publisher statement:Open Access, © The Author(s) 2017. Article funded by SCOAP3. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.
Record Created:30 Mar 2017 16:29
Last Modified:03 Apr 2017 10:14

Social bookmarking: del.icio.usConnoteaBibSonomyCiteULikeFacebookTwitterExport: EndNote, Zotero | BibTex
Look up in GoogleScholar | Find in a UK Library