Artificial Neural Networks in Spectrometry and Neutron Dosimetry

The ANN technology has been applied to unfold the neutron spectra of three neutron sources and to estimate their dosimetric features. To compare these results, neutron spectra were also unfolded with the BUNKIUT code. Both unfolding procedures were carried out using the count rates of a Bonner spher...

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Bibliographic Details
Main Authors: Vega-Carrillo, H. R., Martinez-Blanco, M. R., Ortiz-Rodriguez, J. M., Hernandez-Davila, V. M., Escuela Politecnica Superior de la Universidad de Cordoba, Cordoba
Format: Conference Proceeding
Language:English
Subjects:
BONNER SPHERE SPECTROMETERS
COMPARATIVE EVALUATIONS
COUNTING RATES
DOSIMETRY
EMISSION
EVALUATION
INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
LUMINESCENCE
MEASURING INSTRUMENTS
NEURAL NETWORKS
NEUTRON DOSIMETRY
NEUTRON SOURCES
NEUTRON SPECTRA
NEUTRON SPECTROMETERS
NUCLEAR PHYSICS AND RADIATION PHYSICS
PARTICLE SOURCES
PHOTON EMISSION
RADIATION SOURCES
SPECTRA
SPECTROMETERS
SPECTROSCOPY
THERMOLUMINESCENCE
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Summary:The ANN technology has been applied to unfold the neutron spectra of three neutron sources and to estimate their dosimetric features. To compare these results, neutron spectra were also unfolded with the BUNKIUT code. Both unfolding procedures were carried out using the count rates of a Bonner sphere spectrometer. The spectra unfolded with ANN result similar to those unfolded with the BUNKIUT code. The H*(10) values obtained with ANN agrees well with H*(10) values calculated with the BUNKIUT code.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.3531587