The XXI International Scientific Conference of Young Scientists and Specialists (AYSS-2017)

Combined detector model for the purpose of nuclear density measurement

Not scheduled

1m

Oral Applied Research

Speaker

Dr Seyedmohammad Golgoun (Radiation Application Research School, Nuclear Science and Technology Research Institute)

Description

Nuclear measurement systems have a special place in different industries of the world. One of the most used devices is a gamma density measurement that has two main individual techniques: transmission nuclear density measurement and backscatter nuclear density measurement. In this research these two main techniques have been combined and a new device for the purpose of measuring the density was designed. Then this new device was simulated, implemented and tested. The results of the combined method in comparison to the conventional transmission method show that the new method has better linear characteristics and has been successful to improve the precision of the measurement. These results those were confirmed by the simulations show that the combined method also can reduce MAE (%), MRE (%) and RMSE in comparison to the transmission method.

Summary

Key words: Nuclear measurement system, transmission technique, backscatter technique, buildup factor, MCNP, Compton scattering, measurement errors, RSQ function
[1] J. S. Charlton, J. A. Heslop and P. Johnson, “Industrial applications of radioisotopes”, Phys. Technol., vol. 6, no. 2, pp. 67, 1975.
[2] IAEA-TECDOC-1459, ISBN 92-0-107805-6, 2005.
[3] M. Khorsandi and S. A. H. Feghhi, “Design and construction of a prototype gamma-ray densitometer for petroleum products monitoring applications”, Measurement, vol. 44, no. 9, pp. 1512-1515, November 2011.
[4] R. B. J. Palmer and J. Phys. E: Sci. Instrum., vol. 15, no. 9, pp. 873, 1982.
[5] C. E. Moss, A. Favalli, J. M. God, K. D. Ianakiev, M. Lombardi, C. W. McCluskey, M.T. Paffett and M. T. Swinhoe, “New technology for transmission measurements in process pipes”, Appl. Radiat. Isotopes, vol. 72, pp. 89-95, February 2013.
[6] G. Knoll, Radiation Detection and Measurement, Third edition, New York: John Wiley & Sons, Inc., 2000.
[7] D. Sardari, A. Abbaspour, S. Baradaran and F. Babapour Mofrad, “Estimation of gamma- and x-ray photons; buildup factor in soft tissue with Monte Carlo method”, Appl. Radiat. Isotopes, vol. 67, no. 7, pp. 1438-1440, August 2009.
[8] H. Cember and E. Johnson, Introduction to Health Physics, Fourth edition, USA: McGraw-Hill Companies, Inc., 2009.
[9] S. M. Golgoun, D. Sardari, M. Sadeghi and F. Babapour Mofrad, Appl. Radiat. Isotopes, vol. 118, pp. 246-250, December 2016.
[10] N. Tsoulfanidis and S. Landsberger, Measurement and Detection of Radiation, Third edition, CRC press Taylor and Francis Group, L.I.C, 2010.
[11] R. P. Gardner, W. L. Dunn and F. H. McDougall, “A quality factor concept for evaluation of the surface type gamma-ray backscatter soil density gauges”, Nucl. Eng. and Des., vol. 16, no. 4, pp. 399-407, January 1971.
[12] J. Briesmeister, MCNP-A General Monte Carlo N-Particle Transport Code, 2000.
[13] E. R. Van der Graaf, J. Limburg, R. L. Koomans and M. Tijs, “Monte Carlo based calibration of scintillation detectors for laboratory and in situ gamma ray measurements”, J. Environ. Radioact., vol. 102, pp. 270-282, January 2011.