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Calculation of Pulse Height Distribution by Deterministic and Monte Carlo Methods

Akhavan, Azade | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43869 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Vosoughi, Naser
  7. Abstract:
  8. Radiation detection techniques have important applications including prompt gamma neutron activation analysis (PGNAA), radiotherapy dose measurement, medical imaging and homeland security. Pulse height distribution is also a useful parameter in Radionuclide identification. Gamma ray spectroscopy analysis is a common technique in measuring of radiation field to identify the radioactive source.
    Probabilistic methods are commonly used for numerical simulation of Pulse height distribution. In Monte Carlo methods, each history is individually tracked and details of interactions are available. Using the Monte Carlo methods for calculation of pulse height distribution leads to more real results since the energy deposition is inherently a stochastic process.
    In this survey, in addition to probabilistic methods, a new approach of solving the Gamma transport equation using the deterministic methods is proposed for pulse height formation. Its algorithm is based on scattered components of scalar flux method. 1-D slab geometry with anisotropic scattering and angular quadrature order up to P8/S16 is investigated in this study. A program for generating the gamma cross section library in discrete form is developed as well. Pulse height distribution is calculated by ANISN computer code and the developed collided component program (C.C.C) using the above mentioned library. In Monte Carlo method MCNPX and FLUKA computer codes are used. Pulse height distribution resulted from deterministic method in 1-D geometry is compared against Monte Carlo method and conformity of results is checked. Additionally, Monte Carlo calculations in 3-D geometry have been developed and variance reduction techniques are applied to practical detection problems
  9. Keywords:
  10. Monte Carlo Method ; Variance Reduction Methods ; Computation ; Deterministic Criteria ; Pulse Height Distribution

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