Araştırma Makalesi

A method for deconvolution of gamma spectrum by genetic algorithm

Cilt: 37 Sayı: 1 12 Temmuz 2024
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EN

A method for deconvolution of gamma spectrum by genetic algorithm

Öz

In this study, the application of a genetic algorithm for unfolding an experimentally obtained gamma spectrum is presented. Genetic algorithm and Richardson-Lucy deconvolution method is used to obtain detector response function. The proposed method was tested with a Co-60 and Cs-137 spectra obtained with NaI detector. Experimental results show that the proposed method is effective in unfolding measured spectra. The detector response function obtained with the genetic algorithm is comparable to the response function calculated from experimental data.

Anahtar Kelimeler

Kaynakça

  1. Jangyong, H. (2009). Constructing the Response Function for a BGO Detector Using MCNP5 and Developing the Deconvolution Algorithm in the Low Gamma Energy, Florida.
  2. Li, F., Gu, Z., Ge, L., Li, H., Tang, X., Lang, X., Hu, B. (2019) Review of recent gamma spectrum unfolding algorithms and their application, Results in Physics 13, p. 102211. https://doi.org/10.1016/j.rinp.2019.102211.
  3. Huang, C., Meng, B., Chen, F., Han, L., Zhang, M., Li, S.,Hong, J. (2019). Bayesian-based spectral deconvolution with genetic algorithm, Journal of Instrumentation, p. P11029, Nov. https://10.1088/1748-0221/14/11/P11029.
  4. [Dubrovkin, J. (2014). Critical Analysis of Spectral Deconvolution Methods, International Journal of Emerging Technologies in Computational and Applied Sciences, 8(1).
  5. Amadè, N. S., Bettelli M., Zambelli N., Zanettini S., Benassi G., Zappettini A. (2020). Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm, Sensors vol 20, p. 7316. https://doi. org/10.3390/s20247316.
  6. Morhac, M., Matousek, V. (2011). High-resolution deconvolution methods for analysis of noisy gammaray spectra, Journal of Computational and Applied Mathematics , pp. 1629-1640.
  7. Arcos, J. M. L. (1996). Gamma-ray spectra deconvolution by maximum-entropy methods, Nuclear lnsttuments and Methods in Physics Research A , pp. 634-636. https:// doi.org/10.1016/j.cam.2010.09.005.
  8. Gold, R. (1964).An Iterative Unfolding Method for Response Matrices, Argonne National Laboratory, Argonne.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Metroloji,Uygulamalı ve Endüstriyel Fizik

Bölüm

Araştırma Makalesi

Yazarlar

Yayımlanma Tarihi

12 Temmuz 2024

Gönderilme Tarihi

23 Mayıs 2024

Kabul Tarihi

10 Temmuz 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 37 Sayı: 1

Kaynak Göster

APA
Gündüz, Ö. (2024). A method for deconvolution of gamma spectrum by genetic algorithm. Turkish Journal of Nuclear Sciences, 37(1), 25-29. https://izlik.org/JA97TK89ZJ
AMA
1.Gündüz Ö. A method for deconvolution of gamma spectrum by genetic algorithm. Turkish Journal of Nuclear Sciences. 2024;37(1):25-29. https://izlik.org/JA97TK89ZJ
Chicago
Gündüz, Ömer. 2024. “A method for deconvolution of gamma spectrum by genetic algorithm”. Turkish Journal of Nuclear Sciences 37 (1): 25-29. https://izlik.org/JA97TK89ZJ.
EndNote
Gündüz Ö (01 Temmuz 2024) A method for deconvolution of gamma spectrum by genetic algorithm. Turkish Journal of Nuclear Sciences 37 1 25–29.
IEEE
[1]Ö. Gündüz, “A method for deconvolution of gamma spectrum by genetic algorithm”, Turkish Journal of Nuclear Sciences, c. 37, sy 1, ss. 25–29, Tem. 2024, [çevrimiçi]. Erişim adresi: https://izlik.org/JA97TK89ZJ
ISNAD
Gündüz, Ömer. “A method for deconvolution of gamma spectrum by genetic algorithm”. Turkish Journal of Nuclear Sciences 37/1 (01 Temmuz 2024): 25-29. https://izlik.org/JA97TK89ZJ.
JAMA
1.Gündüz Ö. A method for deconvolution of gamma spectrum by genetic algorithm. Turkish Journal of Nuclear Sciences. 2024;37:25–29.
MLA
Gündüz, Ömer. “A method for deconvolution of gamma spectrum by genetic algorithm”. Turkish Journal of Nuclear Sciences, c. 37, sy 1, Temmuz 2024, ss. 25-29, https://izlik.org/JA97TK89ZJ.
Vancouver
1.Ömer Gündüz. A method for deconvolution of gamma spectrum by genetic algorithm. Turkish Journal of Nuclear Sciences [Internet]. 01 Temmuz 2024;37(1):25-9. Erişim adresi: https://izlik.org/JA97TK89ZJ