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arXiv · hep-ph/0301050

Statistical Test of Anarchy

Andre de Gouvea·Hitoshi Murayama
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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 64%, quite consistent with the anarchical hypothesis. In turn, assuming that anarchy is indeed correct, we compute lower bounds on |U_{e3}|^2, the remaining unknown "angle" of the leptonic mixing matrix.

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Andre de Gouvea, Hitoshi Murayama. 2003-06-30. Statistical Test of Anarchy. https://doi.org/10.1016/j.physletb.2003.08.045

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