Statistical Analysis of Solar Neutrino Data

Statistical treatment of detection cross-section uncertainties in the analysis of solar neutrino data

We propose a modification to the standard statistical treatment of the detection cross-section uncertainties in the analysis of solar neutrino data. We argue that the uncertainties of the energy-averaged cross sections of the different neutrino fluxes in the same experiment should be treated as correlated. We show that the resulting allowed regions for the neutrino oscillation parameters are si...

Treating solar model uncertainties: A consistent statistical analysis of solar neutrino models and data.

We describe how to consistently incorporate solar model uncertainties, along with experimental errors and correlations, when analyzing solar neutrino data to derive confidence limits on parameter space for proposed solutions of the solar neutrino problem. Our work resolves ambiguities and inconsistencies in the previous literature. As an application of our methods we calculate the masses and mi...

1 Statistical Analysis of Solar Neutrino Data

Histogram Analysis of Gallex, Gno, and Sage Neutrino Data: Further Evidence for Variability of the Solar Neutrino Flux

If the solar neutrino flux were constant, as is widely assumed, the histogram of flux measurements would be unimodal. On the other hand, sinusoidal or square-wave modulation (either periodic or stochastic) may lead to a bimodal histogram. We here present evidence that the neutrino flux histogram is in fact bimodal. We analyze all available data from gallium experiments, coordinating results fro...

Standard solar model uncertainties and their correlations in the analysis of the solar neutrino problem

We present here an analysis of the theoretical uncertainties associated to the predicted solar neutrino rates for the current gallium, chlorine and water-Cherenkov experiments. We estimate the theoretical rates and their error matrices in three independent solar models (proposed by Bahcall and Pinsonneault, Turck-Chi eze and Lopes, and Dar and Shaviv), and compare them to the experimental data....