Loading...

Optimization of the marinelli beaker dimensions using genetic algorithm

Zamzamian, S. M ; Sharif University of Technology

932 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.jenvrad.2017.03.020
  3. Abstract:
  4. A computational code, based on the genetic algorithm and MCNPX version 2.6 code was developed and used to investigate the effects of some important parameters of HPGe detector (such as Al cap thickness, dead-layer thickness and Ge hole size) on optimum dimensions of marinelli beaker. In addition, the effects of detector material on optimal beaker dimensions were also investigated. Finally, the optimized beaker dimensions at various beaker volumes (300, 500, 700, 1000 and 1500 cm3) were determined for some conventional Ge detectors with different crystal sizes (16 sizes). These sets of data then were used to drive mathematical formulas (obtained by best fitting to data sets). The results showed that, there is no meaningful correlation between the optimum dimensions of the beaker and each of the dead-layer thickness, Al cap thickness and the Ge-crystal hole size. On the other hand, the optimum beaker radius increases with decreasing the density of the detector material while the beaker height decreases. © 2017 Elsevier Ltd
  5. Keywords:
  6. MCNPX2.6 ; Calculation ; Aluminum ; Digital storage ; Genetic algorithms ; Germanium ; Computational codes ; Detector materials ; Fitting to data ; HPGe detectors ; Marinelli beakers ; Mathematical formulas ; Optimum dimensions ; Optimization ; Crystal structure ; Data set ; Equipment ; HPGe detector ; Gamma spectrometry ; Genetic algorithm ; Laboratory device ; Marinelli beaker ; Mathematical model ; Measurement ; Parameters ; Radiation detector ; Reaction optimization ; Simulation ; Thickness ; Volume ; Algorithm ; Chemical model ; Algorithms ; Models, chemical
  7. Source: Journal of Environmental Radioactivity ; Volume 172 , 2017 , Pages 81-88 ; 0265931X (ISSN)
  8. URL: https://www.sciencedirect.com/science/article/pii/S0265931X16303010