Title :
Gamma-ray cluster identification in a spherical shell of highly segmented germanium detectors
Author :
Schmid, G.J. ; Lee, I.Y. ; Deleplanque, M.A. ; Hendriks, P. ; Stephens, F.S. ; Vetter, K. ; Asztalos, S.J. ; Clark, R.M. ; Diamond, R.M. ; Fallon, P. ; Kruecken, R. ; Macchiavelli, A.O. ; MacLeod, R.W.
Author_Institution :
Lawrence Berkeley Nat. Lab., California Univ., Berkeley, CA, USA
fDate :
6/1/1997 12:00:00 AM
Abstract :
Research and development is proceeding on a new γ-ray detector array for nuclear physics: the Gamma-Ray Energy Tracking Array (GRETA). This array will consist of a spherical shell of highly segmented Ge detectors. By obtaining the energy and position of each interaction point, high efficiency and peak-to-total ratios can be obtained as compared with existing arrays. Here we discuss the computer algorithms that are needed to process the raw data and maximize the performance of the array. The results of these algorithms on Monte Carlo simulated data are presented
Keywords :
Monte Carlo methods; gamma-ray detection; germanium radiation detectors; high energy physics instrumentation computing; GRETA; Gamma-Ray Energy Tracking Array; Ge; Monte Carlo simulated data; computer algorithms; gamma-ray cluster identification; gamma-ray detector array; highly segmented detectors; spherical shell; Clustering algorithms; Computational modeling; Gamma ray detection; Gamma ray detectors; Germanium; Pulse shaping methods; Research and development; Scattering; Sensor arrays; Shape;
Journal_Title :
Nuclear Science, IEEE Transactions on
