Simulation study of neutron multiplicity of plutonium samples of different shapes
In this paper, an optimized boron-coated straw tube neutron multiplicity counter is used to simulate neutron multiplicity for six different shapes of weapons-grade plutonium samples. It was found that under the point model equation, the mass simulation results for samples of different shapes showed...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.996063/full |
| _version_ | 1811188096053542912 |
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| author | Yunfeng Lu Quanhu Zhang Qingxu Yao Yu Wang |
| author_facet | Yunfeng Lu Quanhu Zhang Qingxu Yao Yu Wang |
| author_sort | Yunfeng Lu |
| collection | DOAJ |
| description | In this paper, an optimized boron-coated straw tube neutron multiplicity counter is used to simulate neutron multiplicity for six different shapes of weapons-grade plutonium samples. It was found that under the point model equation, the mass simulation results for samples of different shapes showed different degrees of negative deviations with increasing mass, and the deviations increased with increasing mass. On this basis, the reasons for the deviation are analyzed and a multilayer perceptron is introduced, and three counting rates and preset qualities of samples of different qualities under six shapes are trained. The results showed that the multi-layer perceptron could better fit the relationship between the counting rates of different shapes and the preset quality. The sparrow search algorithm was introduced to optimize the initial weights and thresholds of the multilayer perceptron, and the optimized model was used to predict another four samples of different shapes. The results show that the optimized multilayer perceptron can better fit the relationship between the counting rate and the mass of samples with different shapes. When the sample mass is less than 3 kg, the relative deviation of the three counting rates for samples with four shapes to the sample mass prediction is less than 2%, which meets the requirements of neutron multiplicity measurement. |
| first_indexed | 2024-04-11T14:14:32Z |
| format | Article |
| id | doaj.art-5a4ac6a31658413582e72161a5c47cd4 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-11T14:14:32Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-5a4ac6a31658413582e72161a5c47cd42022-12-22T04:19:35ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-09-011010.3389/fenrg.2022.996063996063Simulation study of neutron multiplicity of plutonium samples of different shapesYunfeng LuQuanhu ZhangQingxu YaoYu WangIn this paper, an optimized boron-coated straw tube neutron multiplicity counter is used to simulate neutron multiplicity for six different shapes of weapons-grade plutonium samples. It was found that under the point model equation, the mass simulation results for samples of different shapes showed different degrees of negative deviations with increasing mass, and the deviations increased with increasing mass. On this basis, the reasons for the deviation are analyzed and a multilayer perceptron is introduced, and three counting rates and preset qualities of samples of different qualities under six shapes are trained. The results showed that the multi-layer perceptron could better fit the relationship between the counting rates of different shapes and the preset quality. The sparrow search algorithm was introduced to optimize the initial weights and thresholds of the multilayer perceptron, and the optimized model was used to predict another four samples of different shapes. The results show that the optimized multilayer perceptron can better fit the relationship between the counting rate and the mass of samples with different shapes. When the sample mass is less than 3 kg, the relative deviation of the three counting rates for samples with four shapes to the sample mass prediction is less than 2%, which meets the requirements of neutron multiplicity measurement.https://www.frontiersin.org/articles/10.3389/fenrg.2022.996063/fullboron-coated straw tubeneutron multiplicityplutonium sample mass property measurementmultilayer perceptronsparrow search algorithm |
| spellingShingle | Yunfeng Lu Quanhu Zhang Qingxu Yao Yu Wang Simulation study of neutron multiplicity of plutonium samples of different shapes Frontiers in Energy Research boron-coated straw tube neutron multiplicity plutonium sample mass property measurement multilayer perceptron sparrow search algorithm |
| title | Simulation study of neutron multiplicity of plutonium samples of different shapes |
| title_full | Simulation study of neutron multiplicity of plutonium samples of different shapes |
| title_fullStr | Simulation study of neutron multiplicity of plutonium samples of different shapes |
| title_full_unstemmed | Simulation study of neutron multiplicity of plutonium samples of different shapes |
| title_short | Simulation study of neutron multiplicity of plutonium samples of different shapes |
| title_sort | simulation study of neutron multiplicity of plutonium samples of different shapes |
| topic | boron-coated straw tube neutron multiplicity plutonium sample mass property measurement multilayer perceptron sparrow search algorithm |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.996063/full |
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