Title
The optimization of gamma spectra processing in prompt gamma neutron activation analysis (PGNAA)
Date Issued
15 April 2009
Access level
metadata only access
Resource Type
journal article
Abstract
The uncertainty of the elemental analysis is one of the major factors governing the utility of on-line Prompt Gamma Neutron Activation Analysis (PGNAA) in the blending and sorting of bulk materials. In this paper, a general method applicable to Gamma spectra processing is presented and applied to PGNAA in mineral industry. Based on the Fourier transform of spectra and their de-correlation in the Fourier space (the improvement of the conditioning of the correlation matrix), processing of overlapping of characteristic peaks minimizes the propagation of random errors, which optimizes the accuracy and decreases the detection limits of elemental analyses. In comparison with classical methods based on the linear combinations of relevant regions of spectra the improvement may be considerable, especially when several elements are interfering. The method is applied to four case stories covering both borehole logging and on-line analysis on conveyor belt of raw materials. © 2009 Elsevier B.V. All rights reserved.
Start page
1139
End page
1148
Volume
267
Issue
7
Language
English
Scopus EID
2-s2.0-64649084830
Source
Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms
ISSN of the container
0168583X
Source funding
International Atomic Energy Agency
Sponsor(s)
This work was supported by IAEA projects COL/8/020, CHI 8/024 and PER/1/014. Thanks a lot for the persons who participated actively to the projects: Felipe Mujica, Nelida Heresi and Ivan Pinero (Instituto de Innovación en Minería y Metalurgia SA, Santiago, Chile), Oscar Duran (Comisión Chilena de Energía Nuclear, Santiago, Chile), German Perez, Alberto Bohorques (University of Valle, Cali, Columbia), Jairo Duque (Centro de Investigaciones Nucleares, Bogota, Columbia).
Sources of information: Directorio de Producción Científica Scopus