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Fast nuclide identification based on a sequential Bayesian method 被引量:4

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摘要 The rapid identification of radioactive substances in public areas is crucial.However,traditional nuclide identification methods only consider information regarding the full energy peaks of the gamma-ray spectrum and require long recording times,which lead to long response times.In this paper,a novel identification method using the event mode sequence(EMS)information of target radionuclides is proposed.The EMS of a target radionuclide and natural background radiation were established as two different probabilistic models and a decision function based on Bayesian inference and sequential testing was constructed.The proposed detection scheme individually processes each photon.When a photon is detected and accepted,the corresponding posterior probability distribution parameters are estimated using Bayesian inference and the decision function is updated.Then,value of the decision function is compared to preset detection thresholds to obtain a detection result.Experiments on different target radionuclides(137Cs and 60Co)were performed.The count rates of the regions of interest(ROI)in the backgrounds between[651,671],[1154,1186],and[1310,1350]keV were 2.35,5.14,and 0.57 CPS,respectively.The experimental results demonstrate that the average detection time was 6.0 s for 60Co(with an activity of 80400 Bq)at a distance of 60 cm from the detector.The average detection time was 7 s for 137Cs(with an activity of 131000 Bq)at a distance of 90 cm from the detector.The results demonstrate that the proposed method can detect radioactive substances with low activity.
出处 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2021年第12期116-127,共12页 核技术(英文)
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  • 1天东风 解东 霍裕昆 杨福家.计算物理,2000,17:71-71.
  • 2彭祖赠,孙韫玉.2004.模糊数学及其应用.武汉:武汉大学出版社.第2-16页.
  • 3Knoll G F. Radiation Detection and Measurement [M]. 4 ED. New York, USA: John Wiley & Sons, Inc. , 2010.
  • 4Ross T J. Fuzzy Logic With Engineering Applications [M]. 2 ED. Chichester, UK: John Wiley & Sons, Inc. , 2004.
  • 5Stezowski O, Astier A, Prevost A, et al. Automatic energy calibration of germanium detectors using fuzzy set theory[J]. Nucl Instr and Meth in Phys Research A, 2002, 488(1 - 2) : 314 - 322.
  • 6Sivanandam S N, Sumathi S, Deepa S N. Introduction to Fuzzy Logic using MATLAB [M]. New York, USA: Springer, 2007.
  • 7Morhac M. An algorithm for determination of peak regions and baseline elimination in spectroscopic data [J]. Nucl Instr and Meth in Phys Research A, 2009, 6011(2) : 478 - 487.
  • 8Heath R L. Gamma ray spectrum catalogue Ge and Si spectra [DB/OL]. (1999-03-29). http: //www. inl. gov/gammaray/ catalogs/pdf/gecat, pdf.
  • 9Debertin K, Helmer R G. Gamma-and x-ray spectrometry with semiconductor detectors [M]. Amsterdam, Holland.. North-Holland, 1988.
  • 10Gilmore G R. Practical Gamma-ray Spectrometry. 2nd ed [M]. Chichester, UK: John Wiley & Sons, Inc. , 2008.

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