Optimization of the marinelli beaker dimensions using genetic algorithm.
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.
Department of Energy Engineering, Sharif University of Technology, Tehran Zip code: 8639-11365, Iran.
Seyed Mehrdad
SM
Zamzamian
Department of Energy Engineering, Sharif University of Technology, Tehran Zip code: 8639-11365, Iran.
Seyed Abolfazl
SA
Hosseini
Department of Energy Engineering, Sharif University of Technology, Tehran Zip code: 8639-11365, Iran. Electronic address: samadfam@sharif.edu.
Mohammad
M
Samadfam
D000465:Algorithms; D005857:Germanium; D008956:Models, Chemical
D005857:Germanium
Genetic algorithm; HPGe detector; MCNPX2.6; Marinelli beaker