MULTI-DIMENSIONAL SPECTRAL ANALYSIS FOR IMPROVED IDENTIFICATION AND CONFIRMATION OF RADIOACTIVE ISOTOPES

摘要

A method and system for classifies an unknown sample that contains either a first radioactive isotope, a second radioactive isotope, or a mixture of the first and second radioactive isotopes. Input vectors representative of a training set of samples for a first isotope class and a second isotope class are received. A multivariate classification model is constructed based on the received input vectors. Data is received corresponding to the unknown sample. First and second probabilities that the unknown sample respectively belongs to the first isotope class and the second isotope class are calculated. Based on the first and second probabilities, the unknown sample is classified as either the first radioactive isotope, the second radioactive isotope, or a mixture of the first and second radioactive isotopes.