Title :
MeV gamma ray detection algorithms for stacked silicon detectors
Author :
McMurray, Robert E. ; Hubbard, G. Scott ; Wercinski, Paul F. ; Keller, Robert G.
Author_Institution :
NASA Ames Res. Center Moffett Field, CA, USA
fDate :
8/1/1993 12:00:00 AM
Abstract :
By making use of the signature of a gamma ray event as it appears in N=5 to 20 lithium-drifted silicon detectors and applying smart selection algorithms, gamma rays in the energy range of 1 to 8 MeV can be detected with good efficiency and selectivity. Examples of the types of algorithms used for different energy regions include the simple sum mode, the sum-coincidence mode used in segmented detectors, unique variations on sum-coincidence for an N-dimensional vector event, and a new and extremely useful mode for double escape peak spectroscopy at pair-production energies. The latter algorithm yields a spectrum similar to that of the pair spectrometer, but without the need of the dual external segments for double escape coincidence, and without the large loss in efficiency of double escape events. Background events due to Compton scattering are largely suppressed. Monte Carlo calculations are used to model the gamma ray interactions in the silicon, in order to permit testing of wide array of different algorithms on the event N -vectors for a large-N stack
Keywords :
Monte Carlo methods; coincidence techniques; gamma-ray detection and measurement; gamma-ray spectroscopy; semiconductor counters; silicon; 1 to 8 MeV; Compton scattering; Monte Carlo calculations; N-dimensional vector event; Si:Li; double escape peak spectroscopy; gamma ray detection algorithms; gamma ray event; large-N stack; pair spectrometer; pair-production energies; segmented detectors; smart selection algorithms; sum mode; sum-coincidence mode; Energy resolution; Event detection; Gamma ray detection; Gamma ray detectors; Gamma rays; Monte Carlo methods; Silicon; Spectroscopy; Temperature; Testing;
Journal_Title :
Nuclear Science, IEEE Transactions on