-event Characterization and Rejection in Point-Contact HPGe Detectors
arXiv:2006.13179 · doi:10.1140/epjc/s10052-022-10161-y
Abstract
P-type point contact (PPC) HPGe detectors are a leading technology for rare event searches due to their excellent energy resolution, low thresholds, and multi-site event rejection capabilities. We have characterized a PPC detector's response to particles incident on the sensitive passivated and p+ surfaces, a previously poorly-understood source of background. The detector studied is identical to those in the MAJORANA DEMONSTRATOR experiment, a search for neutrinoless double-beta decay () in Ge. decays on most of the passivated surface exhibit significant energy loss due to charge trapping, with waveforms exhibiting a delayed charge recovery (DCR) signature caused by the slow collection of a fraction of the trapped charge. The DCR is found to be complementary to existing methods of identification, reliably identifying background events on the passivated surface of the detector. We demonstrate effective rejection of all surface events (to within statistical uncertainty) with a loss of only 0.2% of bulk events by combining the DCR discriminator with previously-used methods. The DCR discriminator has been used to reduce the background rate in the region of interest window by an order of magnitude in the MAJORANA DEMONSTRATOR, and will be used in the upcoming LEGEND-200 experiment.
Accepted for publication in European Journal of Physics C
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- LEGEND-1000 Preconceptual Design Report
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Cited by in corpus (11)
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- Development of low-threshold detectors for low-mass dark matter searches with a p-type germanium detector operated at cryogenic temperature
- Interpretable Boosted Decision Tree Analysis for the Majorana Demonstrator
- Final Results of the MAJORANA DEMONSTRATOR's Search for Double-Beta Decay of Ge to Excited States of Se
- A novel wide-angle Compton Scanner setup to study bulk events in germanium detectors
- Constraints on inelastic dark matter from the CDEX-1B experiment
- Rare multi-nucleon decays with the full data sets of the Majorana Demonstrator
- Identification and simulation of surface alpha events on passivated surfaces of germanium detectors and the influence of metalisation
- Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines