학술논문
On-belt analysis of minerals using naturally occurring gamma radiation
Document Type
Conference
Source
2008 IEEE International Conference on Acoustics, Speech and Signal Processing Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on. :3669-3672 Mar, 2008
Subject
Language
ISSN
1520-6149
2379-190X
2379-190X
Abstract
We describe a method to analyze materials on a conveyor belt using natural gamma spectra collected with a BGO (Bismuth Germanate) gamma ray detector, which collects emissions from Potassium (K), Uranium (U), and Thorium (Th) in the materials. A statistical model is proposed based on a Poisson process and an approximate maximum likelihood (ML) technique via the expectation-maximization (EM) algorithm is then used to estimate the amount of each of the three elements in the material. A refinement of the statistical model is used to estimate linear drift in the detector.