Statistical Test of Anarchy
Abstract
"Anarchy'' is the hypothesis that there is no fundamental distinction among the three flavors of neutrinos. It describes the mixing angles as random variables, drawn from well defined probability distributions dictated by the group Haar measure. We perform a Kolmogorov-Smirnov (KS) statistical test to verify whether anarchy is consistent with all neutrino data, including the new result presented by KamLAND. We find a KS probability for Nature's choice of mixing angles equal to 12%, consistent with the anarchical hypothesis. In turn, assuming that anarchy is indeed correct, we place lower bounds |U_{e3}|^2>0.019 (two sigma) and 0.0011 (three sigma) on the remaining unknown "angle'' of the leptonic mixing matrix.Keywords
All Related Versions
- Version 1, 2003-01-08, ArXiv
- Version 2, 2003-06-30, ArXiv
- Published version: Physics Letters B, 573, 94.
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