Research Article
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Year 2024, Volume: 37 Issue: 1, 25 - 29, 12.07.2024

Abstract

References

  • Jangyong, H. (2009). Constructing the Response Function for a BGO Detector Using MCNP5 and Developing the Deconvolution Algorithm in the Low Gamma Energy, Florida.
  • 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.
  • 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.
  • [Dubrovkin, J. (2014). Critical Analysis of Spectral Deconvolution Methods, International Journal of Emerging Technologies in Computational and Applied Sciences, 8(1).
  • 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.
  • Morhac, M., Matousek, V. (2011). High-resolution deconvolution methods for analysis of noisy gammaray spectra, Journal of Computational and Applied Mathematics , pp. 1629-1640.
  • 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.
  • Gold, R. (1964).An Iterative Unfolding Method for Response Matrices, Argonne National Laboratory, Argonne.
  • Bandzuch, P. Morhac, M. . Kristiak, T. (1997). Study of the Van Cittert and Gold iterative methods of deconvolution and their application in the deconvolution of experimental spectra of positron annihilation, Nuclear Instruments and Methods in Physics Research A , pp. 506-515. https:// doi.org/10.1016/S0168-9002(96)00874-1.
  • Richardson, W. H. (1972)Bayesian-Based Iterative Method of Image Restoration, Journal of the Optical Society of America, pp. 55-59.
  • Lucy, L. B. (1974). An iterative technique for the rectification of observed distributions, The Astronomical Journal, pp. 745-754. https://doi.org/10.1086/111605.
  • Morhac, M. 2006. Deconvolution methods and their applications in the analysis of gamma-ray spectra, Nuclear Instruments and Methods in Physics Research A, pp. 119-123. https://doi.org/10.1016/j. nima.2005.11.129.
  • Heath, R. (1957).Scintillation Spectrometry, Gammas Ray Spectrum Catalogue, Phillips Petroleum Co, Washington DC.
  • Li, Z., Yiwen, Z., Shifeng, SUN., Baoyi, W. (2014). A semi-empirical response function for Gamma-ray of Scintillation detector based on physical interaction mechanism. https://doi.org/10.48550/arXiv.1407.0799.
  • [Grozdanov, D.N., Fedorov, N.A., Kopatch, Yu.N., Ruskov, I.N., Skoy, V.R.(2021). Semi-empirical gammaray response function of BGO, NaI(Tl) and LaBr3(Ce) scintillation detectors, Nuclear Inst. and Methods in Physics Research, A 1014. https://doi.org/10.1016/j. nima.2021.165741.
  • Vitorellia, J.C., Silva, A.X., Crispim, V.R.,Fonseca, E.S. da , Pereira, W.W.(2005). «Monte Carlo simulation of response function for a NaI(Tl) detector for gamma rays from 241Am/Be source, Applied Radiation and Isotopes, vol. 62, pp. 619-622. https://doi.org/10.1016/j.apradiso.2004.07.010.
  • Wang, J. , Z. Wang, Peeples, J., Yu, H., P.Gardner, R. (2012). Development of a simple detector response function generation program: The CEARDRFs code, Applied Radiation and Isotopes, vol. 70, pp. 1164-1174. https://doi.org/10.1016/j.apradiso.2011.11.003.
  • Guttormsen M., Tveter T.S., Bergholt, L., Ingebretsen F., Rekstad, J. (1996). The unfolding of continuum y-ray spectra, Nuclear Instruments and Methods in Physics Research A, no. 374, pp. 371-376. https://doi. org/10.1016/0168-9002(96)00197-0.
  • Garcia-Talavera M. and Ulicny, B. (2003). A genetic algorithm approach for multiplet deconvolution in –ray spectra,» Nuclear Instruments and Methods in Physics Research A 512, pp. 585-594. https://doi.org/10.1016/ S0168-9002(03)02052-7.
  • Carlevaro, C.M.Wilkinson, M.V.Barrios, L.A. (2008). A genetic algorithm approach to routine gamma spectra analysis, Journal of Instrumentation P01001. https:// doi.org/10.1088/1748-0221/3/01/P01001.
  • Shahabinejad, H., Hosseini, S.A., Sohrabpour, M. (2016). A new neutron energy spectrumun folding code using a two steps geneticalgorithm, Nuclear Instruments and Methods in Physics Research A 811, p. 82–93. https://doi.org/ 10.1016/j.nima.2015.12.028.
  • Byoungil J., Jongyul K., Myungkook M., Gyuseong C. (2019). Parametric optimization for energy calibration and gamma response function of plastic scintillation dtectors using a genetic algorithm,» Nuclear Inst. and Methods in Physics Research, A 930, p. 8–14. https:// doi.org/10.1016/j.nima.2019.03.003.
  • Pandey, H. M., Chaudhary, A. Mehrotrac, D. (2014). A comparative review of approaches to prevent premature convergence in GA, Applied Soft Computing, p. 1047– 1077. https://doi.org/10.1016/j.asoc.2014.08.025.
  • Haykin, S. (1994). Blind Deconvolution, New Jersey: Prentice Hall. ISBN 0130873624, 9780130873620.
  • Fish, D. A.,. Brinicombe, A. M. and Pike, E. R. (1995). Blind deconvolution by means of the Richardson– Lucy algorithm, Journal of Optical Society of America, vol. 12, no 1, pp. 58-65. https://doi.org/10.1364/ JOSAA.12.000058.
  • Morhac, M. Kliman, J. Matousek, V. Veselsky, M. Turzo, I. (1997). Efficient one- and two-dimensional gold deconvolution and its application to y-ray spectra decomposition, Nuclear Instruments and Methods in Physics Research A 401, pp. 385-408. https://doi. org/10.1016/S0168-9002(97)01058-9.
  • Starck, J. L., Pantin, E., Murtagh, F. (2009). Deconvolution in Astronomy: A Review, Publications of the Astronomical Society of the Pacific 114, p. 1051– 1069, 2002. https://doi.org/10.1086/342606.
  • Morhac, M. and Matoušek, V. (2009). Complete positive deconvolution of spectrometric data, Digital Signal Processing 19 , p. 372–392, 2009). https:// doi.org/10.1016/S0168-9002(97)01058-9. https://doi. org/10.1016/j.dsp.2008.06.002.

A method for deconvolution of gamma spectrum by genetic algorithm

Year 2024, Volume: 37 Issue: 1, 25 - 29, 12.07.2024

Abstract

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.

References

  • Jangyong, H. (2009). Constructing the Response Function for a BGO Detector Using MCNP5 and Developing the Deconvolution Algorithm in the Low Gamma Energy, Florida.
  • 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.
  • 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.
  • [Dubrovkin, J. (2014). Critical Analysis of Spectral Deconvolution Methods, International Journal of Emerging Technologies in Computational and Applied Sciences, 8(1).
  • 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.
  • Morhac, M., Matousek, V. (2011). High-resolution deconvolution methods for analysis of noisy gammaray spectra, Journal of Computational and Applied Mathematics , pp. 1629-1640.
  • 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.
  • Gold, R. (1964).An Iterative Unfolding Method for Response Matrices, Argonne National Laboratory, Argonne.
  • Bandzuch, P. Morhac, M. . Kristiak, T. (1997). Study of the Van Cittert and Gold iterative methods of deconvolution and their application in the deconvolution of experimental spectra of positron annihilation, Nuclear Instruments and Methods in Physics Research A , pp. 506-515. https:// doi.org/10.1016/S0168-9002(96)00874-1.
  • Richardson, W. H. (1972)Bayesian-Based Iterative Method of Image Restoration, Journal of the Optical Society of America, pp. 55-59.
  • Lucy, L. B. (1974). An iterative technique for the rectification of observed distributions, The Astronomical Journal, pp. 745-754. https://doi.org/10.1086/111605.
  • Morhac, M. 2006. Deconvolution methods and their applications in the analysis of gamma-ray spectra, Nuclear Instruments and Methods in Physics Research A, pp. 119-123. https://doi.org/10.1016/j. nima.2005.11.129.
  • Heath, R. (1957).Scintillation Spectrometry, Gammas Ray Spectrum Catalogue, Phillips Petroleum Co, Washington DC.
  • Li, Z., Yiwen, Z., Shifeng, SUN., Baoyi, W. (2014). A semi-empirical response function for Gamma-ray of Scintillation detector based on physical interaction mechanism. https://doi.org/10.48550/arXiv.1407.0799.
  • [Grozdanov, D.N., Fedorov, N.A., Kopatch, Yu.N., Ruskov, I.N., Skoy, V.R.(2021). Semi-empirical gammaray response function of BGO, NaI(Tl) and LaBr3(Ce) scintillation detectors, Nuclear Inst. and Methods in Physics Research, A 1014. https://doi.org/10.1016/j. nima.2021.165741.
  • Vitorellia, J.C., Silva, A.X., Crispim, V.R.,Fonseca, E.S. da , Pereira, W.W.(2005). «Monte Carlo simulation of response function for a NaI(Tl) detector for gamma rays from 241Am/Be source, Applied Radiation and Isotopes, vol. 62, pp. 619-622. https://doi.org/10.1016/j.apradiso.2004.07.010.
  • Wang, J. , Z. Wang, Peeples, J., Yu, H., P.Gardner, R. (2012). Development of a simple detector response function generation program: The CEARDRFs code, Applied Radiation and Isotopes, vol. 70, pp. 1164-1174. https://doi.org/10.1016/j.apradiso.2011.11.003.
  • Guttormsen M., Tveter T.S., Bergholt, L., Ingebretsen F., Rekstad, J. (1996). The unfolding of continuum y-ray spectra, Nuclear Instruments and Methods in Physics Research A, no. 374, pp. 371-376. https://doi. org/10.1016/0168-9002(96)00197-0.
  • Garcia-Talavera M. and Ulicny, B. (2003). A genetic algorithm approach for multiplet deconvolution in –ray spectra,» Nuclear Instruments and Methods in Physics Research A 512, pp. 585-594. https://doi.org/10.1016/ S0168-9002(03)02052-7.
  • Carlevaro, C.M.Wilkinson, M.V.Barrios, L.A. (2008). A genetic algorithm approach to routine gamma spectra analysis, Journal of Instrumentation P01001. https:// doi.org/10.1088/1748-0221/3/01/P01001.
  • Shahabinejad, H., Hosseini, S.A., Sohrabpour, M. (2016). A new neutron energy spectrumun folding code using a two steps geneticalgorithm, Nuclear Instruments and Methods in Physics Research A 811, p. 82–93. https://doi.org/ 10.1016/j.nima.2015.12.028.
  • Byoungil J., Jongyul K., Myungkook M., Gyuseong C. (2019). Parametric optimization for energy calibration and gamma response function of plastic scintillation dtectors using a genetic algorithm,» Nuclear Inst. and Methods in Physics Research, A 930, p. 8–14. https:// doi.org/10.1016/j.nima.2019.03.003.
  • Pandey, H. M., Chaudhary, A. Mehrotrac, D. (2014). A comparative review of approaches to prevent premature convergence in GA, Applied Soft Computing, p. 1047– 1077. https://doi.org/10.1016/j.asoc.2014.08.025.
  • Haykin, S. (1994). Blind Deconvolution, New Jersey: Prentice Hall. ISBN 0130873624, 9780130873620.
  • Fish, D. A.,. Brinicombe, A. M. and Pike, E. R. (1995). Blind deconvolution by means of the Richardson– Lucy algorithm, Journal of Optical Society of America, vol. 12, no 1, pp. 58-65. https://doi.org/10.1364/ JOSAA.12.000058.
  • Morhac, M. Kliman, J. Matousek, V. Veselsky, M. Turzo, I. (1997). Efficient one- and two-dimensional gold deconvolution and its application to y-ray spectra decomposition, Nuclear Instruments and Methods in Physics Research A 401, pp. 385-408. https://doi. org/10.1016/S0168-9002(97)01058-9.
  • Starck, J. L., Pantin, E., Murtagh, F. (2009). Deconvolution in Astronomy: A Review, Publications of the Astronomical Society of the Pacific 114, p. 1051– 1069, 2002. https://doi.org/10.1086/342606.
  • Morhac, M. and Matoušek, V. (2009). Complete positive deconvolution of spectrometric data, Digital Signal Processing 19 , p. 372–392, 2009). https:// doi.org/10.1016/S0168-9002(97)01058-9. https://doi. org/10.1016/j.dsp.2008.06.002.
There are 28 citations in total.

Details

Primary Language English
Subjects Metrology, Applied and Industrial Physics
Journal Section Research Article
Authors

Ömer Gündüz

Publication Date July 12, 2024
Submission Date May 23, 2024
Acceptance Date July 10, 2024
Published in Issue Year 2024 Volume: 37 Issue: 1

Cite

APA Gündüz, Ö. (2024). A method for deconvolution of gamma spectrum by genetic algorithm. Turkish Journal of Nuclear Sciences, 37(1), 25-29.
AMA Gündüz Ö. A method for deconvolution of gamma spectrum by genetic algorithm. Turkish Journal of Nuclear Sciences. July 2024;37(1):25-29.
Chicago Gündüz, Ömer. “A Method for Deconvolution of Gamma Spectrum by Genetic Algorithm”. Turkish Journal of Nuclear Sciences 37, no. 1 (July 2024): 25-29.
EndNote Gündüz Ö (July 1, 2024) A method for deconvolution of gamma spectrum by genetic algorithm. Turkish Journal of Nuclear Sciences 37 1 25–29.
IEEE Ö. Gündüz, “A method for deconvolution of gamma spectrum by genetic algorithm”, Turkish Journal of Nuclear Sciences, vol. 37, no. 1, pp. 25–29, 2024.
ISNAD Gündüz, Ömer. “A Method for Deconvolution of Gamma Spectrum by Genetic Algorithm”. Turkish Journal of Nuclear Sciences 37/1 (July 2024), 25-29.
JAMA 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, vol. 37, no. 1, 2024, pp. 25-29.
Vancouver Gündüz Ö. A method for deconvolution of gamma spectrum by genetic algorithm. Turkish Journal of Nuclear Sciences. 2024;37(1):25-9.