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          Institute: MPI für Kernphysik     Collection: Neutrino Physics     Display Documents



  history
ID: 433499.1, MPI für Kernphysik / Neutrino Physics
Background Suppression Using Pulse Shape Analysis with a BEGe Detector for Neutrinoless Double Beta Decay Search with GERDA
Authors:Budjáš, Dusan; Chkvorets, Oleg; Schönert, Stefan
Language:English
Publisher:American Institute of Physics
Place of Publication:Melville, N.Y.
Date of Publication (YYYY-MM-DD):2009-12
Title of Proceedings:10th Conference on the Intersections of Particle and Nuclear Physics
Start Page:96
End Page:99
Title of Series:AIP Conference Proceedings
Volume (in Series):1182
Name of Conference/Meeting:CIPANP 2009: Tenth Conference on the Intersections of Particle and Nuclear Physics
Place of Conference/Meeting:San Diego, California
(Start) Date of Conference/Meeting
 (YYYY-MM-DD):
2009-05-26
End Date of Conference/Meeting 
 (YYYY-MM-DD):
2009-05-31
Review Status:not specified
Audience:Experts Only
Abstract / Description:A pulse shape analysis for distinguishing between double beta decay-like interactions and multiple-scattered photons was performed for the first time using a BEGe-type detector. This discrimination method is included in the research and development for the second phase of the GERDA experiment, since active background suppression techniques are necessary to reach sensitivity for the 76Ge neutrinoless double beta decay half life of > 1026 years. A suppression of back­grounds in the energy region of interest around the 76Ge Qββ = 2039 keV is demonstrated, with (0.93 ± 0.08)% survival probability for events from 60Co, (21 ± 3)% for 226Ra, and (40 ± 2)% for 228Th. This performance is achieved with (89 ± 1)% acceptance of 228Th double escape events, which are analogous to double beta decay.
External Publication Status:published
Document Type:Conference-Paper
Affiliations:MPI für Kernphysik/Group of M. Lindner
External Affiliations:epartment of Physics, Laurentian University, Ramsey Lake Road, P3E 2C6 Sudbury, Ontario, Canada
Identifiers:ISBN:978-0-7354-0723-7
DOI:10.1063/1.3293966
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