Assay-based background projection for the Majorana Demonstrator using Monte Carlo uncertainty propagation

The background index (BI) is an important quantity to project and calculate the half-life sensitivity of neutrinoless double-β decay (0νββ) experiments. An analysis framework is presented to calculate the BI using the specific activities, masses, and simulated efficiencies of an experiments 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 BI distribution from the specific activity, mass, and efficiency distributions. This method is applied to the Majorana Demonstrator, which deployed arrays of high-purity Ge detectors enriched in Ge76 to search for 0νββ. The original assay-based projection is requantified in the new framework, using the as-built geometry of the Demonstrator and additional assay information. While 47% higher than the original projection, the resulting BI of [8.95±0.36]×10−4cts/(keVkgyr) from the Th232 and U238 decay chains does not account for the higher-than-expected BI observed by the Demonstrator. This method enables us to demonstrate the statistical incompatibility between the Demonstrator's observed background and the assay results.

Authors

Institutions

Publication Details

Journal
UNC Libraries
Published
2024-12-06
DOI
https://doi.org/10.17615/0sha-aa90
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assay-based background projection for the Majorana Demonstrator using Monte Carlo uncertainty propagation

V. E. Guiseppe, P.-H. Chu, T. E. Lannen V., E. Blalock et al.
UNC Libraries
Medical Imaging Techniques and Applications
article

Assay-based background projection for the Majorana Demonstrator using Monte Carlo uncertainty propagation

V. E. Guiseppe, P.-H. Chu, T. E. Lannen V., E. Blalock, A. Hostiuc, L. S. Paudel, R. Henning, R. Massarczyk, K. Rielage, A. Li, J. M. López-Castaño, K. H. Bhimani, C. D. Christofferson, C. R. Haufe, Y.-D. Chan, S. L. Watkins, D. C. Radford, N. W. Ruof, M. F. Kidd, A. L. Reine, I. J. Arnquist, C. Wiseman, T. S. Caldwell, F. T. Avignone, J. A. Detwiler, E. W. Hoppe, W. Xu, T. K. Oli, S. R. Elliott, M. P. Green, W. Pettus, B. Bos, R. D. Martin, D. C. Schaper, A. S. Barabash, R. L. Varner, H. Ejiri, Y. V. Efremenko, S. J. Meijer, S. Vasilyev, M. Busch, A. W. P. Poon, J. F. Wilkerson, C. Cuesta, D. Tedeschi, I. S. Guinn, In-Wook Kim, J. Gruszko, C. J. Barton, S. J. Schleich, N. Fuad, R. T. Kouzes, D. Hervas Aguilar, C.-H. Yu, G. K. Giovanetti, M. Clark
article en

Abstract

The background index (BI) is an important quantity to project and calculate the half-life sensitivity of neutrinoless double-β decay (0νββ) experiments. An analysis framework is presented to calculate the BI using the specific activities, masses, and simulated efficiencies of an experiments 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 BI distribution from the specific activity, mass, and efficiency distributions. This method is applied to the Majorana Demonstrator, which deployed arrays of high-purity Ge detectors enriched in Ge76 to search for 0νββ. The original assay-based projection is requantified in the new framework, using the as-built geometry of the Demonstrator and additional assay information. While 47% higher than the original projection, the resulting BI of [8.95±0.36]×10−4cts/(keVkgyr) from the Th232 and U238 decay chains does not account for the higher-than-expected BI observed by the Demonstrator. This method enables us to demonstrate the statistical incompatibility between the Demonstrator's observed background and the assay results.

UNC Libraries
University of North Carolina at Chapel Hill (US)
National Science Foundation, U.S. Department of Energy, L'Oreal USA, South Dakota Board of Regents, Office of Science, Natural Sciences and Engineering Research Council of Canada, Nuclear Physics, Laboratory Directed Research and Development, Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory, Los Alamos National Laboratory, Pacific Northwest National Laboratory
Climate action
Openalex Percentile: Top 61%
Medical Imaging Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.