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Accurate Generation of Scintillator Detector Energy Spectrum by Monte Carlo Method for Gamma-Ray Spectrum Analysis Using whole Spectrum Data

Ahmadi, Donya | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54459 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Vosoughi, Naser
  7. Abstract:
  8. Generating the experimental spectrum for all gamma-ray elements is difficult and practically impossible in some industrial applications. Furthermore, in many applications such as neutron activation, it is not possible to obtain an experimental spectrum for a single isotope on account of the fact that the gamma-ray spectrum obtained from neutron activation is derived from the gamma-rays of various elements in a sample. Therefore, using computational techniques like Monte Carlo method for calculating the detector response functions seems an appropriate solution. The detector response functions for 3''×3'' NaI detectors have been simulated using MCNPX 2.7 code and Ptrac card in this project. However, general Monte Carlo codes such as MCNP are currently unable to accurately calculate the detector response functions. For this reason, two phenomena have been accounted for in this thesis, which are NaI non-linearity and the variable flat continua. the first one is considered by utilizing the known non-linear relationship between NaI scintillation efficiency and deposited electron energy and the second one is accounted for by reducing the photopeak count by a specific fraction and distributing it to the rest of the spectrum. By applying these two corrections, the detector response functions for 3''×3'' NaI detectors have been benchmarked with a number of experimental spectra. The results indicate that this approach in the photopeak and compton continuous regions of the spectra is accurate enough and the use of this method should enhance the accuracy of prompt gamma-ray neutron activation analysis considerably
  9. Keywords:
  10. Scintillation Detector ; Monte Carlo Method ; Monte Carlo N-Particle (MCNP)Code ; Prompt Gamma Neutron Activation Analysis (PGNAA) ; Gamma Ray Spectrum ; NaI detector ; Detector Response Function (DRF)

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