Statistical analysis of solar neutrino data

We discuss a possibility that the so-called reactor antineutrino anomaly (RAA), which is a deficit of the ν¯e rates in the reactor experiments in comparison to the theoretical expectations, can at least in part be explained by applying a quantum field-theoretical approach to neutrino oscillations, which in particular predicts a small deviation from the classical inverse-square law at short (but still macroscopic) distances between the neutrino source and detector. An extensive statistical analysis of the current reactor data on the integrated ν¯e event rates vs. baseline is performed to examine this speculation. The obtained results are applied to study another long-standing puzzle—gallium neutrino anomaly (GNA), which is a missing νe flux from 37Ar and 51Cr electron-capture decays as measured by the gallium–germanium solar neutrino detectors GALLEX and SAGE.

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A STATISTICAL ANALYSIS OF THE CHLORINE SOLAR NEUTRINO EXPERIMENT

International Journal of Modern Physics A ◽

10.1142/s0217751x91001155 ◽

1991 ◽

Vol 06 (13) ◽

pp. 2347-2360 ◽

Cited By ~ 6

Author(s):

HIROSHI NUNOKAWA ◽

HISAKAZU MINAKATA

Keyword(s):

Statistical Analysis ◽

Solar Neutrino ◽

Statistical Significance ◽

Neutrino Flux ◽

Sunspot Activity ◽

Neutrino Experiment ◽

Present Stage ◽

Solar Neutrino Flux ◽

New Type ◽

Solar Neutrino Experiment

A detailed analysis is performed so as to reveal the statistical significance of the possible anticorrelation between the solar neutrino flux, measured by the 37 Cl experiment, and the sunspot activity. We find that the new data added since 1986 do contribute to improving the significance of the anticorrelation. However, we also observe that the statistical significance depends upon the treatment of errors rather sensitively. Therefore, we conclude that the anticorrelation is not definitively established at the present stage of the experiment. We also point out the possibility of a new type of correlation.

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Statistical Analysis of Solar Flare, Solar Neutrino Flux and Sunspot Data

Physics of the Outer Heliosphere - COSPAR Colloquia Series ◽

10.1016/b978-0-08-040780-7.50066-x ◽

1990 ◽

pp. 393-394

Author(s):

Godhuli Chattopadhyay ◽

Probhas Raychaudhuri

Keyword(s):

Statistical Analysis ◽

Solar Flare ◽

Solar Neutrino ◽

Neutrino Flux ◽

Solar Neutrino Flux ◽

Sunspot Data

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Statistical analysis of the time dependence of the solar neutrino capture rate

Physics Letters B ◽

10.1016/0370-2693(90)90647-o ◽

1990 ◽

Vol 246 (3-4) ◽

pp. 546-550 ◽

Cited By ~ 31

Author(s):

B.W. Filippone ◽

P. Vogel

Keyword(s):

Statistical Analysis ◽

Time Dependence ◽

Solar Neutrino ◽

Capture Rate

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010013064x ◽

1992 ◽

Vol 50 (2) ◽

pp. 1202-1203

Author(s):

Gianluigi Botton ◽

Gilles L'espérance

Keyword(s):

Statistical Analysis ◽

Spatial Resolution ◽

Personal Computer ◽

Systematic Study ◽

Present Author ◽

Chemical Elements ◽

Detection Limits ◽

Research Groups ◽

Quantitative Performance ◽

Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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