An assay-based background projection for the MAJORANA DEMONSTRATOR using Monte Carlo Uncertainty Propagation
I.J. Arnquist🇺🇸 · F.T. Avignone III🇺🇸 · A.S. Barabash🇷🇺 · C.J. Barton🇺🇸 · K.H. Bhimani🇺🇸 · E. Blalock🇺🇸 · B. Bos🇺🇸 · M. Busch🇺🇸 · T.S. Caldwell🇺🇸 · Y.-D. Chan🇺🇸 · C.D. Christofferson🇺🇸 · P.-H. Chu🇺🇸 and 44 other authors
The background index is an important quantity which is used in projecting and calculating the half-life sensitivity of neutrinoless double-beta decay () experiments. A novel analysis framework is presented to calculate the background index using the specific activities, masses and simulated efficiencies of an experiment's components as distributions. This Bayesian framework includes a unified approach to combine specific activities from assay. Monte Carlo uncertainty propagation is used to build a background index distribution from the specific activity, mass and efficiency distributions. This analysis method is applied to the MAJORANA DEMONSTRATOR, which deployed arrays of high-purity Ge detectors enriched in Ge to search for . The framework projects a mean background index of cts/(keV kg yr) from Th and U in the DEMONSTRATOR's components.