Pulse-height Defects in Semiconductor Detectors for Fission Fragments

1964 ◽  
Vol 3 (6) ◽  
pp. 326-334 ◽  
Author(s):  
Shoji Shirato
Keyword(s):  
Pulse Height ◽  
Semiconductor Detectors ◽  
Fission Fragments

The pulse height defect in semiconductor detectors

1965 ◽  
Vol 32 (1) ◽  
pp. 70-76 ◽  
Author(s):  
R.C. Axtmann ◽  
D. Kedem
Keyword(s):  
Pulse Height ◽  
Semiconductor Detectors

Pulse Height Defect and Energy Dispersion in Semiconductor Detectors

1966 ◽  
Vol 37 (2) ◽  
pp. 190-194 ◽  
Author(s):  
Eldon L. Haines ◽  
A. Bruce Whitehead
Keyword(s):  
Pulse Height ◽  
Semiconductor Detectors ◽  
Energy Dispersion

A New Waveform Signal Processing Method Based on Adaptive Clustering-Genetic Algorithms

2006 ◽  
Author(s):  
Noha Shaaban ◽  
Fukuzo Masuda ◽  
Hidetsugu Morota
Keyword(s):  
Signal Processing ◽  
Genetic Algorithms ◽  
Pulse Height ◽  
Digital Signal ◽  
Processing Method ◽  
Pulse Height Spectrum ◽  
Semiconductor Detectors ◽  
Shape Variation ◽  
Signal Shape ◽  
Signal Processing Method

We present a fast digital signal processing method for numerical analysis of individual pulses from CdZnTe compound semiconductor detectors. Using Maxi-Mini Distance Algorithm and Genetic Algorithms based discrimination technique. A parametric approach has been used for classifying the discriminated waveforms into a set of clusters each has a similar signal shape with a corresponding pulse height spectrum. A corrected total pulse height spectrum was obtained by applying a normalization factor for the full energy peak for each cluster with a highly improvements in the energy spectrum characteristics. This method applied successfully for both simulated and real measured data, it can be applied to any detector suffers from signal shape variation.

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