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

Volume

44

Issue

3

fYear

1997

fDate

6/1/1997 12:00:00 AM

Firstpage

975

Lastpage

978

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;

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/23.603788

Filename

603788