Authors:
H. Sakai Nagoya University Department of Nuclear Engineering, School of Engineering 464-01 Nagoya (Japan)

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A. Uritani Nagoya University Department of Nuclear Engineering, School of Engineering 464-01 Nagoya (Japan)

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K. Inoue Nagoya University Department of Nuclear Engineering, School of Engineering 464-01 Nagoya (Japan)

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Y. Takenaka Nagoya University Department of Nuclear Engineering, School of Engineering 464-01 Nagoya (Japan)

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C. Mori Nagoya University Department of Nuclear Engineering, School of Engineering 464-01 Nagoya (Japan)

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Abstract  

We have studied the improvement of energy spectra of a cadmium telluride (CdTe) semiconductor detector by means of a neural network algorithm. The neural network recognized pulse shapes and determined the corrective magnification factors of digitally shaped pulse heights. That is to say, the neural network recognized the difference in the pulse shapes due to the incomplete charge collection and made up for the ballistic deficit of each pulse. We obtained the energy spectra of several gamma ray sources. After the processing, the energy spectra became more ideal profile and the energy resolution (FWHM) changed for the better.

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Journal of Radionalytical and Nuclear Chemistry
Language English
Size A4
Year of
Foundation
1968
Volumes
per Year
1
Issues
per Year
12
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0236-5731 (Print)
ISSN 1588-2780 (Online)