Unfolding neutron spectra from simulated response of thermoluminescence dosimeters inside a polyethylene sphere using GRNN neural network. (21st July 2017)

• Record Type: Journal Article
• Authors: Lotfalizadeh, F.; Faghihi, R.; Bahadorzadeh, B.; Sina, S.
• Is Part Of: Journal of instrumentation. Volume 12:Number 7(2017:Jul.)
• Page Start: T07007
• Page End: T07007
• Publication Date: 2017-07-21
• Subjects: Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc) -- Neutron detectors (cold, thermal, fast neutrons) -- Spectrometers; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/12/07/T07007
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: Neutron spectrometry using a single-sphere containing dosimeters has been developed recently, as an effective replacement for Bonner sphere spectrometry. The aim of this study is unfolding the neutron energy spectra using GRNN artificial neural network, from the response of thermoluminescence dosimeters, TLDs, located inside a polyethylene sphere. The spectrometer was simulated using MCNP5. TLD-600 and TLD-700 dosimeters were simulated at different positions in all directions. Then the GRNN was used for neutron spectra prediction, using the TLDs' readings. Comparison of spectra predicted by the network with the real spectra, show that the single-sphere dosimeter is an effective instrument in unfolding neutron spectra.