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Determining of the optimized dimensions of the Marinelli beaker containing source with inhomogeneous emission rate by using genetic algorithm coupled with MCNP and determining distribution type by neural networks

Zamzamian, S. M ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1016/j.apradiso.2020.109039
  3. Publisher: Elsevier Ltd , 2020
  4. Abstract:
  5. In order to determine the activity of C137s in soil resulting from nuclear accidents or fallouts, the best choice is to use HPGe detectors due to their best energy resolutions. In this regard, in order to enhance the detection efficiency, the Marinelli beakers have been used to increase the radiation interaction with the sensitive volume of the detector. In previous works, to optimize the dimension of Marinelli beakers, the assumption was that the emission rate of the source is homogeneous in beaker volume. In the present study, to investigate the effect of the inhomogeneous emission rate of the source on the optimum dimensions of the beaker, in a simple case, the beaker was divided into two sections (upper and lower) containing different C137s emission rates. A code based on MCNPX2.6 coupled with genetic algorithm was developed and used to investigate the effects of different emission rates of C137s at the upper and lower section of the beaker on optimum dimensions of the Marinelli with different volumes (300–1500 cm3). The results showed that the inhomogeneity in the emission rate greatly affects the optimal dimensions of the beaker. By using the C137s spectra simulated for a conventional beaker at different emission probabilities in the upper and lower section in training a neural network, the emission probabilities of a beaker containing C137s was estimated. © 2020 Elsevier Ltd
  6. Keywords:
  7. Genetic algorithm ; HPGe detector ; Marinelli beaker ; MCNPX2.6 ; Genetic algorithms ; Germanium compounds ; Neural networks ; Detection efficiency ; Emission probabilities ; Energy resolutions ; HPGe detectors ; Marinelli beakers ; Optimum dimensions ; Radiation interactions ; Particulate emissions ; Cesium 137 ; Cobalt 60 ; Artificial neural network ; Calibration ; Chemical parameters ; Computer simulation ; Controlled study ; Gamma radiation ; Gamma spectrometry ; Inhomogeneous emission rate ; Mathematical model ; Measurement accuracy ; Molecular dynamics ; Monte Carlo method ; Multilayer perceptron ; Priority journal ; Probability ; Process optimization ; Radiation absorption ; Radiation detection ; Radiation dose distribution ; Radiation scattering ; Radioactivity ; Validation process
  8. Source: Applied Radiation and Isotopes ; Volume 157 , 2020
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0969804319311935