A 2023 reactor antineutrino flux calculation revives the Reactor Antineutrino Anomaly to 2.2 sigma and produces 3.8 sigma tension with gallium data that drops to 1.3 sigma when gallium uncertainties are enlarged.
Testing the statistical compatibility of independent data sets
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abstract
We discuss a goodness-of-fit method which tests the compatibility between statistically independent data sets. The method gives sensible results even in cases where the chi^2-minima of the individual data sets are very low or when several parameters are fitted to a large number of data points. In particular, it avoids the problem that a possible disagreement between data sets becomes diluted by data points which are insensitive to the crucial parameters. A formal derivation of the probability distribution function for the proposed test statistic is given, based on standard theorems of statistics. The application of the method is illustrated on data from neutrino oscillation experiments, and its complementarity to the standard goodness-of-fit is discussed.
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Revival of the Reactor Antineutrino Anomaly
A 2023 reactor antineutrino flux calculation revives the Reactor Antineutrino Anomaly to 2.2 sigma and produces 3.8 sigma tension with gallium data that drops to 1.3 sigma when gallium uncertainties are enlarged.
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NuFit-6.0: Updated global analysis of three-flavor neutrino oscillations
Updated global analysis finds well-determined neutrino mixing parameters with nearly equal preference for normal and inverted mass orderings in the full dataset.