@article{shaaban:2001:GPEM,
title = {The Use of Genetic Algorithms for the Improvement of
Energy Characteristics of {CdZnTe} Semiconductor
Detectors},
author = {N. Shaaban and S. Hasegawa and A. Suzuki and H. Takahashi},
journal = {Genetic Programming and Evolvable Machines},
month = {September},
number = {3},
pages = {289--299},
volume = {2},
year = {2001},
abstract = {A new charge loss correction method using genetic
algorithms (GA) has been proposed to improve gamma ray
energy spectrum characteristics of CdZnTe detectors.
The correction method is based on the analysis of
signal waveform shapes taking into account the
contribution of multiple interaction processes to pulse
shape generation. A GA recognizes the charge deposition
places for each signal and provides the related
corrective factors of the pulse heights; the corrected
pulse height spectrum was obtained by summing up the
corrected pulse heights for each signal. An enhanced
energy spectrum characteristic was obtained after the
correction process for 662 keV photons. This method is
simple and useful for pulse shape analysis; the results
demonstrate promise for the successful application of
GAs for digital signal processing data analysis.},
issn = {1389-2576}, email = {noha@qs.t.u-tokyo.ac.jp}, notes = {Article ID: 357596}, doi = {doi:10.1023/A:1011905527157},
keywords = {EGS4 algorithms, charge detectors, energy genetic loss, semiconductor software spectrum, }
}
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