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108
ST 1.2 –
Dosimetría externa
PHOTON SPECTROMETRY UTILIZING NEURAL NETWORKS
Silveira, R.*, Benevides, C
, Lima, F., Vilela, E.
Comissão Nacional de Energia Nuclear. Brasil.
* Responsible author, email:
rena@cnen.gov.br
Having in mind the time spent on the uneventful work of characterization of the radiation beams
used in a ionizing radiation metrology laboratory, the Metrology Service of the Centro Regional
de Ciências Nucleares do Nordeste - CRCN-NE verified the applicability of artificial intelligence
(artificial neural networks) to perform the spectrometry in photon fields. For this, was developed
a multilayer neural network, as an application for the classification of patterns in energy,
associated with a thermoluminescent dosimetric system (TLD-700 and TLD-600). A set of
dosimeters was initially exposed to various well known medium energies, between 40 keV and
1.2 MeV, coinciding with the beams determined by ISO4037 standard, for the dose of 10 mSv in
the quantity Hp(10), on a chest phantom (ISO slab phantom) with the purpose of generating a
set of training data for the neural network. Subsequently, a new set of dosimeters irradiated in
unknown energies was presented to the network with the purpose to test the method.The
methodology used in this work was suitable for application in the classification of energy beams,
having obtained 100% of the classification executed.