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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Exploring nu(tau)-nu(s) mixing with cascade events in DeepCore

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Author(s):
Esmaili, Arman [1] ; Halzen, Francis [2, 3] ; Peres, O. L. G. [4, 1]
Total Authors: 3
Affiliation:
[1] Inst Fis Gleb Wataghin UNICAMP, BR-13083859 Campinas, SP - Brazil
[2] Univ Wisconsin, Wisconsin IceCube Particle Astrophys Ctr, Madison, WI 53706 - USA
[3] Univ Wisconsin, Dept Phys, Madison, WI 53706 - USA
[4] Abdus Salaam Int Ctr Theoret Phys, Abdus Salam Int Ctr Theoret Phys, I-34010 Trieste - Italy
Total Affiliations: 4
Document type: Journal article
Source: Journal of Cosmology and Astroparticle Physics; n. 7 JUL 2013.
Web of Science Citations: 16
Abstract

The atmospheric neutrino data collected by the IceCube experiment and its low-energy extension DeepCore provide a unique opportunity to probe the neutrino sector of the Standard Model. In the low energy range the experiment have observed neutrino oscillations, and the high energy data are especially sensitive to signatures of new physics in the neutrino sector. In this context, we previously demonstrated the unmatched potential of the experiment to reveal the existence of light sterile neutrinos. The studies are routinely performed in the simplest 3 + 1 model concentrating on disappearance of muon neutrinos of TeV energy as a result of their mixing with a sterile neutrino. We here extend this analysis to include cascade events that are secondary electromagnetic and hadronic showers produced by neutrinos of all flavors. We find that it is possible to probe the complete parameter space of 3 + 1 model, including the poorly constrained mixing of the sterile neutrino to tau neutrinos. We show that nu(tau) - nu(s) mixing results into a unique signature in the data that will allow IceCube to obtain constraints well below the current upper limits. (AU)

FAPESP's process: 12/16389-1 - Neutrino phenomenology
Grantee:Orlando Luis Goulart Peres
Support type: Regular Research Grants