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          Institute: MPI für Physik     Collection: YB 2016     Display Documents



ID: 716085.0, MPI für Physik / YB 2016
Systematic uncertainties of artificial neural-network pulse-shape discrimination for $0νββ$-decay searches using true-coaxial HPGe detectors
Authors:Abt, I.; Caldwell, A.; Cossavella, F.; Majorovits, B.; Palioselitis, D.; Volynets, O.
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:A pulse-shape discrimination method based on artificial neural networks was applied to pulses simulated for different background, signal and signal-like interactions inside a germanium detector. The simulated pulses were used to investigate the systematic uncertainties of the method. It is verified that neural networks are well-suited to identify background pulses in true-coaxial high-purity germanium detectors. The systematic uncertainty on the signal recognition efficiency derived using signal-like samples from calibration measurements is estimated to be 5\\%. This uncertainty is due to differences between signal and calibration samples.
Classification / Thesaurus:GeDet
Document Type:Article
Communicated by:MPI für Physik
Affiliations:MPI für Physik
Identifiers:LOCALID:MPP-2015-33
URL:http://inspirehep.net/search?p=find+eprint+1412.08...
URL:http://arXiv.org/abs/arxiv:1412.0895
URL:https://publications.mppmu.mpg.de/?action=search&m...
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