Statistical test of anarchy

André De Gouvêa*, Hitoshi Murayama

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

104 Scopus citations


"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 |Ue3|2, the remaining unknown "angle" of the leptonic mixing matrix.

Original languageEnglish (US)
Pages (from-to)94-100
Number of pages7
JournalPhysics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics
Issue number1-4
StatePublished - Oct 30 2003

ASJC Scopus subject areas

  • Nuclear and High Energy Physics


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