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arXiv 2001.10064hep-ph
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用贝叶斯方法重新评估镓异常

The gallium anomaly reassessed using a Bayesian approach

Joel Kostensalo, Santtu Tikka, Jouni Suhonen

摘要:

用$^{37}$ Ar和$^{51}$ Cr定标源的电子中微子通量对太阳中微子探测器GALLEX和SAGE进行了定标。通过计数中微子诱导的$^{71}$ Ga核到$^{71}$ Ge核的转换次数,记录了测量到的中微子通量的不足。这种缺陷被称为“镓异常”,它导致了对eV质量无菌中微子形式的超越标准模型物理学的猜测。值得注意的是,这一异常现象20多年来一直没有得到最终解决。在这里,我们重新评估这一异常的统计意义,并改善相关的统计方法,通过处理中微子实验重复伯努利试验考虑到的事实,即检测到的$^{71}$ Ge核的数量是相当小的,从而呼吁贝叶斯统计方法。此外,我们考虑了实验的系统误差,它们的相关性,理论的不确定性和作为泊松分布的随机变量的背景太阳中微子事件的数量。为了与先前报道的异常的统计显著性进行比较,我们将贝叶斯方法的后验间隔转换为频率主义方法的标准差$σ$。我们发现,我们的方法减少了统计显著性的异常$0.8\,σ$所有采用的理论方法。这使得镓异常成为一个统计上支持较弱的概念。此外,我们的方法的影响远远超出了镓异常,因为许多稀有事件实验的结果应该重新评估其有限数量的记录事件。

英文摘要:

The solar-neutrino detectors GALLEX and SAGE were calibrated by electron-neutrino flux from the $^{37}$Ar and $^{51}$Cr calibration sources. A deficit in the measured neutrino flux was recorded by counting the number of neutrino-induced conversions of the $^{71}$Ga nuclei to $^{71}$Ge nuclei. This deficit was coined ``gallium anomaly'' and it has lead to speculations about beyond-the-standard-model physics in the form of eV-mass sterile neutrinos. Notably, this anomaly has already defied final solution for more than 20 years. Here we reassess the statistical significance of this anomaly and improve the related statistical approaches by treating the neutrino experiments as repeated Bernoulli trials taking into account the fact that the number of the detected $^{71}$Ge nuclei is quite small, thus calling for a Bayesian statistical approach. In addition, we take into account the systematic errors of the experiments, their correlations, theoretical uncertainties and the number of background solar-neutrino events as a Poisson-distributed random variable. To compare with the previously reported statistical significances of the anomaly we convert the posterior intervals of our Bayesian approach to standard deviations $σ$ of the frequentist approach. We find that our approach reduces the statistical significance of the anomaly by $0.8\,σ$ for all the adopted theoretical approaches. This renders the gallium anomaly a statistically weakly supported concept. Furthermore, the implications of our approach go far beyond the gallium anomaly since the results of many rare-events experiments should be reassessed for their limited number of recorded events.

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