Design of a Compact Neutron Detector with Flat Response in energy range from 5-20 MeV
Abstract
One of the requirements of neutron detection in wide energy range is a detector with flat response. In this work, a compact neutron detector for energy range from 5-20 MeV has been introduced. The detector has two small spherical 3He proportional counters (PC) placed inside a cylindrical polyethylene moderator. Flat response (sensitivity) of the detector has been optimized according to the counters positions inside the moderator. Optimization carried out using MCNP4C Monte Carlo code and Artificial Neural Network (ANN). Results show that the flatness of the sensitivity response of the introduced detector has been increased compared to the conventional detectors.
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References
S. Borresen, B. Grimilland, and S. Messelt, "Directional Resolution and Shielding Properties of a Long Counter," Nucl. Instr. and Meth.16, pp. 135-138, 1962.
E. Tochilin, and R. V. Alves, "Neutron Flux Measurements from 100 keV to 4 MeV with a Modified Long Counter," Nucl. Instr. and Meth.8, pp. 225-229, 1960.
G. F. Knoll, Radiation Detection and Measurement, 3rd ed., NewYork, Wiley, pp. 542-545, 2000.
H. Harano, T. Matsumoto, J. Nishiyama, A. Masuda, A. Uritani, and K. Kudo, "Development of a Compact Flat Response Neutron Detector," IEEE Trans. Nucl. Sci, vol. 58, pp. 2421-2425, October 2011.
G.H. Roshani, S.A.H. Feghhi, A. Adineh-Vand, and M. Khorsandi, "Application of Adaptive Neuro-Fuzzy Inference System in Prediction of Fluid Density for a Gamma ray Densitometer in Petroleum Products Monitoring," Measurement, vol. 46, pp. 3276-3281, 2013.
M. Khorsandi, S.A.H. Feghhi, A. Salehizadeh, and G.H. Roshani, "Developing a gamma ray fluid densitometer in petroleum products monitoring applications using Artificial Neural Network," Radiation Measurement, vol. 59,pp. 183-187, 2013.
Nicholas Tsoulfanidis, "Measurement and Detection of Radiation," Second Edition, USA,Taylor& Francis, p. 472, 1995.
J. G. Taylor, "Neural networks and their applications," West sussex (UK), John Wiley & Sons Ltd., 1996.
A. R. Gallant, and H. White, "On learning the derivatives of an unknown mapping with multilayer feed forward networks" Neural Networks, vol. 5, pp. 129-138, 1992.
M. T. Hagan, and M. Menhaj, "Training Feedforward Networks with the Marquardt Algorithm," IEEE Trans. Neural Networks, vol. 5, pp. 989-993,1994.
D.R. Slaughter, and D.W. Rueppel, "Calibration of a depangher long counter from 2 keV to 19 MeV," Nucl.Instr. and Meth, vol. 145, pp. 315-320, 1977.
O. P. Massand, European Atomic Energy Community. Geel, Belgium, EUR-4783e (1971).
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