Research Article

Case Study of 137Cs: Optimizing Counting Conditions with Different Background Region Width Selection

Number: 36 May 31, 2022
TR EN

Case Study of 137Cs: Optimizing Counting Conditions with Different Background Region Width Selection

Abstract

Throughout the years, an optimizing counting conditions and optimum background region width determination has been carried out by several methods in gamma-ray spectroscopy. The effect of various background region widths has been the focus on digital integration methods in photopeak analysis. As an application tool of this in nuclear physics, radioactive sources has been mostly used by the lower or the higher resolution detectors; such as NaI(Tl) or HPGe gamma-ray detectors. This resolution factor influences the distinguishability of the peaks in close proximity in spectra. Therefore, a new computational and statistical approach should be implemented to decrease the error factors contributed by one of each bin content, namely the counts, in gamma-ray spectra. At this point, greater precision might be needed and reached in testing different bin region widths on each side of the range of interest for an individual peak. In specific, Gilmore's Total Peak Area (TPA) method will be used here to measure and anaylze the background region width comparisons and their effects in the precision of counting gamma-rays by a NaI(Tl) scintiallation detector.

Keywords

References

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  5. LOSKA,L.,1988. A modification of the “total peak area” (TPA) method for gamma ray spectra. Appl.Radiat.Isot.,39(6):475-477.
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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

May 31, 2022

Submission Date

April 24, 2022

Acceptance Date

May 3, 2022

Published in Issue

Year 2022 Number: 36

APA
Çelik, İ. C., & Dağlı, K. (2022). Case Study of 137Cs: Optimizing Counting Conditions with Different Background Region Width Selection. Avrupa Bilim Ve Teknoloji Dergisi, 36, 168-174. https://doi.org/10.31590/ejosat.1107743
AMA
1.Çelik İC, Dağlı K. Case Study of 137Cs: Optimizing Counting Conditions with Different Background Region Width Selection. EJOSAT. 2022;(36):168-174. doi:10.31590/ejosat.1107743
Chicago
Çelik, İlker Can, and Kadir Dağlı. 2022. “Case Study of 137Cs: Optimizing Counting Conditions With Different Background Region Width Selection”. Avrupa Bilim Ve Teknoloji Dergisi, nos. 36: 168-74. https://doi.org/10.31590/ejosat.1107743.
EndNote
Çelik İC, Dağlı K (May 1, 2022) Case Study of 137Cs: Optimizing Counting Conditions with Different Background Region Width Selection. Avrupa Bilim ve Teknoloji Dergisi 36 168–174.
IEEE
[1]İ. C. Çelik and K. Dağlı, “Case Study of 137Cs: Optimizing Counting Conditions with Different Background Region Width Selection”, EJOSAT, no. 36, pp. 168–174, May 2022, doi: 10.31590/ejosat.1107743.
ISNAD
Çelik, İlker Can - Dağlı, Kadir. “Case Study of 137Cs: Optimizing Counting Conditions With Different Background Region Width Selection”. Avrupa Bilim ve Teknoloji Dergisi. 36 (May 1, 2022): 168-174. https://doi.org/10.31590/ejosat.1107743.
JAMA
1.Çelik İC, Dağlı K. Case Study of 137Cs: Optimizing Counting Conditions with Different Background Region Width Selection. EJOSAT. 2022;:168–174.
MLA
Çelik, İlker Can, and Kadir Dağlı. “Case Study of 137Cs: Optimizing Counting Conditions With Different Background Region Width Selection”. Avrupa Bilim Ve Teknoloji Dergisi, no. 36, May 2022, pp. 168-74, doi:10.31590/ejosat.1107743.
Vancouver
1.İlker Can Çelik, Kadir Dağlı. Case Study of 137Cs: Optimizing Counting Conditions with Different Background Region Width Selection. EJOSAT. 2022 May 1;(36):168-74. doi:10.31590/ejosat.1107743