Proceedings of The 7th International Conference on Knowledge and Innovation in Engineering, Science and Technology
Uncertainties Reduction in INAA Application by Using Multivariate Factor Analysis
Cristiana Oprea, Alexandru Mihul, Alexandru Ioan Oprea
We performed a preliminary study on the impact of INAA data uncertainties on the performance parameters of the reactor IBR – 2, using R – mode Factor Analysis for gamma-ray spectra pattern recognition and identification of chemical compounds interrelationships. In order to make a comprehensive assessment of the sensitivity and uncertainty of INAA basic and multivariate statistical approaches with the use of co-occurrence and run-length matrices comprised by Factor Analysis are investigated and discussed. Sensitivity and uncertainty analyses have been performed for gamma-ray as considered in the INAA applications. The results obtained on a wide range of classes of factors show that the impact of the assumed gamma-ray data uncertainties is in some cases significant. Our ability to predict important nuclear characteristics and quantify uncertainties in those predictions will be used for large multi-elemental spectra, characteristic in various INAA applications.
Keywords: INAA, R-mode Factor Analysis, correlation matrix, sensitivity, uncertainties.