0\(\nu \beta \beta \) Extraction

  • Jack DungerEmail author
Part of the Springer Theses book series (Springer Theses)


The focus of this chapter is the application of the OXO framework to 0\(\nu \beta \beta \) extraction in SNO+. Fake data sets with a range of assumed 0\(\nu \beta \beta \) rates are produced and 2D Bayesian fits in event radius and energy are used to estimate the expected \(m_{\beta \beta }\) 90% limit and \(3\sigma \) discovery level. In addition, the \(\Delta \log \mathcal {L}\) statistic, introduced to separate 0\(\nu \beta \beta \) from \(^{60}\)Co in Chap.  5 is introduced as a third fit dimension to drastically improve the \(3 \sigma \) SNO+ discovery potential.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Merantix AGBerlinGermany

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