HIGH-SPEED ANALYSIS TECHNIQUE FOR GAMMA-RAY AND X-RAY SPECTRA USING AN ASSOCIATIVE NEURAL NETWORK

Author:

IWASAKI S.1,FUKUDA H.1,KITAMURA M.1

Affiliation:

1. Department of Nuclear Engineering, Tohoku University, Aramaki-Aza-Aoba, Aoba-ku, Sendai 980, Japan

Abstract

A new technique for gamma-ray and X-ray spectral analyses is described. It employs an artificial neural network in order to meet requirements of easiness, compactness and promptness of the analysis. This technique only needs a suitable set of component spectra for the network training. Performance test of the network shows good results for gamma-ray spectra obtained by a 3"×3" NaI(Tl) spectrometer, and both for gamma- and X-ray spectra obtained with an 80cc high purity germanium detector. Degradation conditions and applicability to a PIXE analysis are discussed.

Publisher

World Scientific Pub Co Pte Lt

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial neural networks applied to quantitative elemental analysis of organic material using PIXE;Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms;2006-08

2. Application of neural networks for the analysis of gamma-ray spectra measured with a Ge spectrometer;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2002-05

3. Introduction to multi-layer feed-forward neural networks;Chemometrics and Intelligent Laboratory Systems;1997-11

4. Analysis by nuclear reactions and activation;Journal of Radioanalytical and Nuclear Chemistry;1997-06

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