Journal of Radioanalytical and Nuclear Chemistry
Volume/Issue:
Volume 205: Issue 1
Improvement of energy resolution of CdTe semiconductor detector by means of digital waveform processing with neural network algorithm
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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Pages:
147–155
Online Publication Date:
13 Aug 2005
Publication Date:
17 Apr 1996
Article Category:
Research Article
DOI:
https://doi.org/10.1007/bf02040561
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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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Cover Journal of Radioanalytical and Nuclear Chemistry
Journal of Radioanalytical and Nuclear Chemistry
Print ISSN:
0236-5731
Online ISSN:
1588-2780

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)

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