247 research outputs found
Digital Pulseshape Analysis by Neural Networks for the Heidelberg-Moscow-Double-Beta-Decay-Experiment
The Heidelberg-Moscow Experiment is presently the most sensitive experiment
looking for neutrinoless double-beta decay. Recently the already very low
background has been lowered by means of a Digital Pulseshape Analysis using a
one parameter cut to distinguish between pointlike events and multiple
scattered events. To use all the information contained in a recorded digital
pulse, we developed a new technique for event recognition based on neural
networks.Comment: 12 pages, 5 figures, accepted for publication in E. Phys. J.
GENIUS and the Genius TF: A New Observatory for WIMP Dark Matter and Neutrinoless Double Beta Decay
The GENIUS proposal is described and some of it's physics potential is
outlined. Also in the light of the contradictive results from the DAMA and CDMS
experiments the Genius TF, a new experimental setup is proposed. The Genius TF
could probe the DAMA evidence region using the WIMP nucleus recoil signal and
WIMP annual modulation signature simultaneously. Besides that it can prove the
long term feasibility of the detector technique to be implemented into the
GENIUS setup and will in this sense be a first step towards the realization of
the GENIUS experiment.Comment: 10 pages, revtex, 4 figures, Talk was presented at 3rd International
Workshop on the Identification of Dark Matter, IDM2000, York, England,
September 18-22, 2000, to be publ. in proc. World Scoentific (2001). Home
Page of Heidelberg Non-Accelerator Particle Physics Group (GENIUS
Experiment): http://www.mpi-hd.mpg.de/non_acc/genius.htm
Phase II Upgrade of the GERDA Experiment for the Search of Neutrinoless Double Beta Decay
AbstractObservation of neutrinoless double beta decay could answer the question regarding the Majorana or Dirac nature of neutrinos. The GERDA experiment utilizes HPGe detectors enriched with the isotope 76Ge to search for this process. Recently the GERDA collaboration has unblinded data of Phase I of the experiment. In order to further improve the sensitivity of the experiment, additionally to the coaxial detectors used, 30 BEGe detectors made from germanium enriched in 76Ge will be deployed in GERDA Phase II.BEGe detectors have superior PSD capability, thus the background can be further reduced. The liquid argon surrounding the detector array will be instrumented in order to reject background by detecting scintillation light induced in the liquid argon by radiation. After a short introduction the hardware preparations for GERDA Phase II as well as the processing and characterization of the 30 BEGe detectors are discussed
Identification of photons in double beta-decay experiments using segmented germanium detectors - studies with a GERDA Phase II prototype detector
The sensitivity of experiments searching for neutrinoless double beta-decay
of germanium was so far limited by the background induced by external
gamma-radiation. Segmented germanium detectors can be used to identify photons
and thus reduce this background component.
The GERmanium Detector Array, GERDA, will use highly segmented germanium
detectors in its second phase. The identification of photonic events is
investigated using a prototype detector. The results are compared with Monte
Carlo data.Comment: 20 pages, 7 figures, to be submitted to NIM-
Pulse shape simulation for segmented true-coaxial HPGe detectors
A new package to simulate the formation of electrical pulses in segmented
true-coaxial high purity germanium detectors is presented. The computation of
the electric field and weighting potentials inside the detector as well as of
the trajectories of the charge carriers is described. In addition, the
treatment of bandwidth limitations and noise are discussed. Comparison of
simulated to measured pulses, obtained from an 18-fold segmented detector
operated inside a cryogenic test facility, are presented.Comment: 20 pages, 16 figure
Deep learning based pulse shape discrimination for germanium detectors
Experiments searching for rare processes like neutrinoless double beta decay
heavily rely on the identification of background events to reduce their
background level and increase their sensitivity. We present a novel machine
learning based method to recognize one of the most abundant classes of
background events in these experiments. By combining a neural network for
feature extraction with a smaller classification network, our method can be
trained with only a small number of labeled events. To validate our method, we
use signals from a broad-energy germanium detector irradiated with a Th
gamma source. We find that it matches the performance of state-of-the-art
algorithms commonly used for this detector type. However, it requires less
tuning and calibration and shows potential to identify certain types of
background events missed by other methods.Comment: Published in Eur. Phys. J. C. 9 pages, 10 figures, 3 table
The GALATEA Test-Facility for High Purity Germanium Detectors
GALATEA is a test facility designed to investigate bulk and surface effects
in high purity germanium detectors. A vacuum tank houses an infrared screened
volume with a cooled detector inside. A system of three stages allows an almost
complete scan of the detector. The main feature of GALATEA is that there is no
material between source and detector. This allows the usage of alpha and beta
sources as well as of a laser beam to study surface effects. A 19-fold
segmented true-coaxial germanium detector was used for commissioning
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