Proceedings of The 7th International Conference on Knowledge and Innovation in Engineering, Science and Technology
Year: 2020
DOI:
Uncertainties Reduction in INAA Application by Using Multivariate Factor Analysis
Cristiana Oprea, Alexandru Mihul, Alexandru Ioan Oprea
ABSTRACT:
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.