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The Bayesian software for the 0νββ CUORE analysis

Authors: Giovanni Benato; Guido Fantini; Alice Campani;

The Bayesian software for the 0νββ CUORE analysis

Abstract

CUORE (Cryogenic Underground Observatory for Rare Events) is a tonne-scale cryogenic detector located at LNGS exploiting bolometric technique to search for neutrinoless double beta decay ($0 \nu \beta \beta$) of ${}^{130}$Te. The experimental signature is a sharp peak at the Q value in the summed energy spectrum of the emitted electrons. In this contribution, we present a thorough description of the software for the $0 \nu \beta \beta$ fit that was developed for the last data release. It is based on BAT (Bayesian Analysis Toolkit) and follows a Bayesian statistical approach. We show how the model is implemented, the treatment of systematics and the interpretation of results.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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