Back to Search
Start Over
Processing scintillation gamma-ray spectra by artificial neural network.
- Source :
-
Journal of Radioanalytical & Nuclear Chemistry . Aug2020, Vol. 325 Issue 2, p471-483. 13p. 4 Diagrams, 9 Charts, 9 Graphs. - Publication Year :
- 2020
-
Abstract
- Elemental analysis can be performed using obtained gamma-ray spectrum of the sample under study. In this work, simple Multi-Layer Perceptron (MLP) neural network models are proposed for analyzing a gamma-ray emitting sample using whole information of its obtained gamma-ray spectrum. Elemental analysis is performed in two fields of study using 3 × 3 inch NaI(Tl) detectors: Radio-Isotope Identification (RIID) and Prompt Gamma Neutron Activation Analysis (PGNAA). The gamma-ray point sources are used for an empirical study in RIID field, while a Monte Carlo simulation study is considered for determining chlorine and water content of crude oil using combination of PGNAA technique and a MLP model. According to the obtained results of both empirical and simulation studies, the proposed ANN models are appropriate for elemental analysis using whole gamma-ray spectral information of sample under study. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02365731
- Volume :
- 325
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of Radioanalytical & Nuclear Chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 144689511
- Full Text :
- https://doi.org/10.1007/s10967-020-07239-w