Study on element detection and its correction in iron ore concentrate based on a prompt gamma-neutron activation analysis system
| Autor: | Yalin Gong, Zhao Long, Qingmin Shang, Yanfeng Li, Qingfeng Song, Xiang-Lin Li, Jingbin Lu, Xu Xu, Wei Zhang |
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| Rok vydání: | 2019 |
| Předmět: |
Nuclear and High Energy Physics
Materials science Field (physics) 010308 nuclear & particles physics Astrophysics::High Energy Astrophysical Phenomena Prompt gamma neutron activation analysis engineering.material Interference (wave propagation) 01 natural sciences Computational physics Correction algorithm Linear relationship Nuclear Energy and Engineering Iron ore 0103 physical sciences Iron content engineering Neutron 010306 general physics |
| Zdroj: | Nuclear Science and Techniques. 30 |
| ISSN: | 2210-3147 1001-8042 |
| DOI: | 10.1007/s41365-019-0579-1 |
| Popis: | A prompt gamma-neutron activation analysis (PGNAA) system was developed to detect the iron content of iron ore concentrate. Because of the self-absorption effect of gamma-rays and neutrons, and the interference of chlorine in the neutron field, the linear relationship between the iron analytical coefficient and total iron content was poor, increasing the error in the quantitative analysis. To solve this problem, gamma-ray self-absorption compensation and a neutron field correction algorithm were proposed, and the experimental results have been corrected using this algorithm. The results show that the linear relationship between the iron analytical coefficient and total iron content was considerably improved after the correction. The linear correlation coefficients reached 0.99 or more. |
| Databáze: | OpenAIRE |
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