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https://dx.doi.org/10.48550/ar...
Article . 1998
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Comparison of ��_�� ��_��and and ��_�� ��_s oscillations as solutions of the atmospheric neutrino problem

Authors: Lipari, Paolo; Lusignoli, Maurizio;

Comparison of ��_�� ��_��and and ��_�� ��_s oscillations as solutions of the atmospheric neutrino problem

Abstract

The simplest explanation for the atmospheric neutrino anomaly is the transition of muon neutrinos and antineutrinos into states of different flavor. Data from the reactor experiment Chooz, and the measurement of the energy and angle distribution of electron--like events in Super--Kamiokande put strong constraints on $��_��$--$��_e$ mixing, but the transitions $��_��\to ��_��$ and $��_��\to ��_s$ are viable possibilites. If the muon neutrinos are mixed with a singlet sterile state, the energy and zenith angle dependence of the oscillation probability is modified by matter effects, that are important for $E_��/|��m^2| \aprge 10^3$ GeV/eV$^2$. We confront the theoretical predictions with existing data on contained events and neutrino--induced upward going muons.

32 pages, Latex with included 16 figures

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Keywords

High Energy Physics - Phenomenology (hep-ph), FOS: Physical sciences

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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