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2001
DOI: 10.1088/1126-6708/2001/12/017
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Bayesian view of solar neutrino oscillations

Abstract: We present the results of a Bayesian analysis of solar neutrino data in terms of ν e → ν µ,τ and ν e → ν s oscillations, where ν s is a sterile neutrino. We perform a Rates Analysis of the rates of solar neutrino experiments, including the first SNO CC result, and spectral data of the CHOOZ experiment, and a Global Analysis that takes into account also the Super-Kamiokande day and night electron energy spectra. We show that the Bayesian analysis of solar neutrino data does not suffer any problem from the inclu… Show more

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Cited by 32 publications
(31 citation statements)
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References 65 publications
(207 reference statements)
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“…As shown in ref. [25] the allowed regions obtained in this way are very similar to those obtained by a Bayesian analysis. Table 1 gives for our standard analysis strategy (cf.…”
Section: Three Strategiessupporting
confidence: 79%
See 1 more Smart Citation
“…As shown in ref. [25] the allowed regions obtained in this way are very similar to those obtained by a Bayesian analysis. Table 1 gives for our standard analysis strategy (cf.…”
Section: Three Strategiessupporting
confidence: 79%
“…The interested reader may wish to consult in addition a number of recent papers, refs. [21,22,23,24,25,26], that have determined from a variety of perspectives the allowed solar neutrino oscillation solutions following the June, 2001 announcement of the SNO CC measurement [9].…”
Section: Global Oscillation Solutionsmentioning
confidence: 99%
“…As shown in ref. [26] the allowed regions obtained in this way are very similar to those obtained by a bayesian analysis. Table 3 gives for our standard analysis strategy (cf.…”
Section: New Global Solutionsupporting
confidence: 79%
“…The interested reader may wish to consult also a number of recent papers, refs. [16,21,22,25,26,27], that have determined the allowed solar neutrino oscillation solutions including the CC data from SNO. We will spare the reader erudite comparisons, in the cases where there is overlap in the calculated quantities, between our detailed results and those of the other authors referred to above.…”
Section: Global Neutrino Oscillation Solutions With Different Analysimentioning
confidence: 99%
“…This prior knowledge must be quantified by a function which is called "prior probability distribution function" (see Refs. [17,[20][21][22]). The Bayes' Theorem allows the calculation of the "posterior probability distribution function", which quantifies the knowledge of the values of the parameters provided by the data viewed in the light of the prior knowledge.…”
Section: Standard Least-squares Methodsmentioning
confidence: 99%