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AbstractAbstract
[en] Objectives: The aim of this work is the simulation of gamma spectra using the MATLAB program to generate the calibration curves in efficiency, which will be used to measure radioactive waste in drums. They are necessary for the proper characterization of these drums. A Monte Carlo simulation was basically developed with the random number generator Mersenne Twister and nuclear data obtained from NIST. This paper shows the results obtained and difficulties encountered until today. The physical correction of the simulated spectra has been the only aspect we have been working, up to this moment. Procedures: A simplified representation of the 'Laboratorio de Verificacion y Control de la Calidad' was chosen. Drums with cemented liquid waste are routinely measured in this laboratory. The commercial program MCNP was also used to get a valid reference in the field of simulation of spectra. We analyzed the spectra obtained by MATLAB in the light of classical literature photon detection and the spectrum obtained by MCNP. Conclusions: Currently the program developed seems adequate to simulate a measurement in the 'Laboratorio de Verificacion y Control de la Calidad'. The spectra obtained by MATLAB seem to physically represent what is observed in real spectra. However, it is a slow program. The current development efforts are directed to improve the speed of simulation. An alternative is to use the CUDA language for NVIDIA video cards to parallelized the simulation. An adequate simulation of the electronic measuring chain is also needed to obtain better representations of the shapes of the peaks. (author)
Original Title
Generacion de espectros sinteticos Gamma por MATLAB
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Source
2009; 13 p; AATN; Buenos Aires (Argentina); AATN 2009: 36. Annual meeting of the Argentine Association of Nuclear Technology: Nuclear energy in the present world; AATN 2009: 36. Reunion anual de la Asociacion Argentina de Tecnologia Nuclear (AATN): La energia nuclear en el mundo actual; Buenos Aires (Argentina); 16-20 Nov 2009; 4 refs., 13 figs., 1 tab.
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Miscellaneous
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Conference
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