216 citations · 882 across the 35 of their papers we have counts for
35 papers
CAGE: An Internal Source Scanning Cryostat for HPGe Characterization
G. Othman, C. Wiseman, T. H. Burritt +8
The success of current and future-generation neutrinoless double beta decay experiments relies on the ability to eliminate or reduce extraneous backgrounds. In addition to construc…
The MAJORANA DEMONSTRATOR experiment's construction, commissioning, and performance
N. Abgrall, E. Aguayo, I. J. Arnquist +108
Background: The MAJORANA DEMONSTRATOR , a modular array of isotopically enriched high-purity germanium (HPGe) detectors, was constructed to demonstrate backgrounds low enough to ju…
A first application of machine and deep learning for background rejection in the ALPS II TES detector
Manuel Meyer, Katharina Isleif, Friederike Januschek +6
Axions and axion-like particles are hypothetical particles predicted in extensions of the standard model and are promising cold dark matter candidates. The Any Light Particle Searc…
Modeling Backgrounds for the MAJORANA DEMONSTRATOR
C. R. Haufe, I. J. Arnquist, F. T. Avignone +55
The MAJORANA DEMONSTRATOR is a neutrinoless double-beta decay () experiment containing 30 kg of p-type point contact germanium detectors enriched to 88% in 76Ge and $\s…
Charge Trapping and Energy Performance of the MAJORANA DEMONSTRATOR
I. J. Arnquist, F. T. Avignone, A. S. Barabash +55
P-type point contact (PPC) high-purity germanium detectors are an important technology in astroparticle and nuclear physics due to their superb energy resolution, low noise, and pu…
Interpretable Boosted Decision Tree Analysis for the Majorana Demonstrator
I. J. Arnquist, F. T. Avignone, A. S. Barabash +52
The Majorana Demonstrator is a leading experiment searching for neutrinoless double-beta decay with high purity germanium detectors (HPGe). Machine learning provides a new way to m…