Low background gamma spectrometry was used to measure the radionuclides activity of <sup>238</sup>U, <sup>232</sup>Th, and <sup>235</sup>U series as well as <sup>40</sup>...Low background gamma spectrometry was used to measure the radionuclides activity of <sup>238</sup>U, <sup>232</sup>Th, and <sup>235</sup>U series as well as <sup>40</sup>K and <sup>137</sup>Cs in a sediment sample. The goal of the study was to measure the <sup>238</sup>U (63.3 keV peak of <sup>234</sup>Th;1001 keV peak of <sup>234m</sup>Pa) and <sup>235</sup>U (143.76 keV, 163.33 keV, and 205.31 keV peaks) activity by low background gamma spectrometry in sediment sample. <sup>235</sup>U activity in environmental samples is difficult to accurately measure by gamma spectrometry due to its low abundance in nature and low gamma line intensities at 143.76 keV, 163.33 keV, and 205.31 keV. We have shown that by using low background gamma spectrometry, it is possible to accurately measure the <sup>235</sup>U activity in sediment samples. The <sup>235</sup>U activity was measured without using the major peak of 185.7 keV (I<sub>γ</sub> = 57.2%) which requires interference correction from 186.21 keV of <sup>226</sup>Ra. <sup>226</sup>Ra activity was determined by measuring <sup>222</sup>Rn daughters (<sup>214</sup>Pb and <sup>214</sup>Bi). The precision and accuracy of the gamma activity measurement in the sediment sample were verified by using the HPGe detectors with Certified Reference Material (CRM) Irish Sea Sediment (IAEA-385). The results obtained for the 63.33 keV energy line of <sup>234</sup>Th are compared with the 1001 keV energy line of <sup>234m</sup>Pa. The values of <sup>238</sup>U and <sup>235</sup>U activities, as well as <sup>40</sup>K, <sup>137</sup>Cs, and <sup>226</sup>Ra, agreed with the certificate values of CRM. The results show that the <sup>238</sup>U is in equilibrium with its daughters (<sup>234</sup>Th, <sup>234m</sup>Pa, and <sup>210</sup>Pb). <sup>232</sup>Th is also in equilibrium with its daughters (<sup>228</sup>Ra, <sup>212</sup>Pb, <sup>212</sup>Bi and <sup>208</sup>Tl). <sup>235</sup>U/<sup>238</sup>U activity ratio of 0.046 ± 0.007 in the sediment is constant in nature but fluctuates 展开更多
Many scientific domains use gamma-ray spectrometry, but non-destructive gamma scanning and gamma emission tomography of radioactive fuel in particular. In the experimental setting, a collimator is frequently employed ...Many scientific domains use gamma-ray spectrometry, but non-destructive gamma scanning and gamma emission tomography of radioactive fuel in particular. In the experimental setting, a collimator is frequently employed to focus on a particular location of interest in the fuel. Predictive models for the transmitted gamma-ray intensity through the collimator are required for both the optimization of instrument design and the planning of measurement campaigns. Gamma-ray transport accuracy is frequently predicted using Monte Carlo radiation transport methods, but using these tools in low-efficiency experimental setups is challenging due to the lengthy computation times needed. This study focused on the full-energy peak intensity that was transmitted through several collimator designs, including rectangle and cylinder. The rate of photons arriving at a detector on the other side of the collimator was calculated for anisotropic source of SNM (U<sub>3</sub>O<sub>8</sub>). Some geometrical assumptions that depended on the source-to-collimator distance and collimator dimensions (length, radius or length, height, and width) were applied to achieve precise findings.展开更多
Efficiency is an important factor in quantitative and qualitative analysis of radionuclides, and the gamma point source efficiency is related to the radial angle,detection distance, and gamma-ray energy. In this work,...Efficiency is an important factor in quantitative and qualitative analysis of radionuclides, and the gamma point source efficiency is related to the radial angle,detection distance, and gamma-ray energy. In this work, on the basis of a back-propagation(BP) neural network model,a method to determine the gamma point source efficiency is developed and validated. The efficiency of the point sources ^(137)Cs and ^(60)Co at discrete radial angles, detection distances, and gamma-ray energies is measured, and the BP neural network prediction model is constructed using MATLAB. The gamma point source efficiencies at different radial angles, detection distances, and gamma-ray energies are predicted quickly and accurately using this nonlinear prediction model. The results show that the maximum error between the predicted and experimental values is 3.732% at 661.661 keV, 11π/24, and 35 cm, and those under other conditions are less than 3%. The gamma point source efficiencies obtained using the BP neural network model are in good agreement with experimental data.展开更多
文摘Low background gamma spectrometry was used to measure the radionuclides activity of <sup>238</sup>U, <sup>232</sup>Th, and <sup>235</sup>U series as well as <sup>40</sup>K and <sup>137</sup>Cs in a sediment sample. The goal of the study was to measure the <sup>238</sup>U (63.3 keV peak of <sup>234</sup>Th;1001 keV peak of <sup>234m</sup>Pa) and <sup>235</sup>U (143.76 keV, 163.33 keV, and 205.31 keV peaks) activity by low background gamma spectrometry in sediment sample. <sup>235</sup>U activity in environmental samples is difficult to accurately measure by gamma spectrometry due to its low abundance in nature and low gamma line intensities at 143.76 keV, 163.33 keV, and 205.31 keV. We have shown that by using low background gamma spectrometry, it is possible to accurately measure the <sup>235</sup>U activity in sediment samples. The <sup>235</sup>U activity was measured without using the major peak of 185.7 keV (I<sub>γ</sub> = 57.2%) which requires interference correction from 186.21 keV of <sup>226</sup>Ra. <sup>226</sup>Ra activity was determined by measuring <sup>222</sup>Rn daughters (<sup>214</sup>Pb and <sup>214</sup>Bi). The precision and accuracy of the gamma activity measurement in the sediment sample were verified by using the HPGe detectors with Certified Reference Material (CRM) Irish Sea Sediment (IAEA-385). The results obtained for the 63.33 keV energy line of <sup>234</sup>Th are compared with the 1001 keV energy line of <sup>234m</sup>Pa. The values of <sup>238</sup>U and <sup>235</sup>U activities, as well as <sup>40</sup>K, <sup>137</sup>Cs, and <sup>226</sup>Ra, agreed with the certificate values of CRM. The results show that the <sup>238</sup>U is in equilibrium with its daughters (<sup>234</sup>Th, <sup>234m</sup>Pa, and <sup>210</sup>Pb). <sup>232</sup>Th is also in equilibrium with its daughters (<sup>228</sup>Ra, <sup>212</sup>Pb, <sup>212</sup>Bi and <sup>208</sup>Tl). <sup>235</sup>U/<sup>238</sup>U activity ratio of 0.046 ± 0.007 in the sediment is constant in nature but fluctuates
文摘Many scientific domains use gamma-ray spectrometry, but non-destructive gamma scanning and gamma emission tomography of radioactive fuel in particular. In the experimental setting, a collimator is frequently employed to focus on a particular location of interest in the fuel. Predictive models for the transmitted gamma-ray intensity through the collimator are required for both the optimization of instrument design and the planning of measurement campaigns. Gamma-ray transport accuracy is frequently predicted using Monte Carlo radiation transport methods, but using these tools in low-efficiency experimental setups is challenging due to the lengthy computation times needed. This study focused on the full-energy peak intensity that was transmitted through several collimator designs, including rectangle and cylinder. The rate of photons arriving at a detector on the other side of the collimator was calculated for anisotropic source of SNM (U<sub>3</sub>O<sub>8</sub>). Some geometrical assumptions that depended on the source-to-collimator distance and collimator dimensions (length, radius or length, height, and width) were applied to achieve precise findings.
基金supported by the National Natural Science Foundation of China(Nos.41374130 and 41604154)Science and Technology Program of Sichuan,China(No.2017GZ0359)+1 种基金Science and Technology Support Program of Sichuan,China(No.2015JY0007)Open Foundation for Artificial Intelligence Key Laboratory of Sichuan Province of China(No.2016RYJ08)
文摘Efficiency is an important factor in quantitative and qualitative analysis of radionuclides, and the gamma point source efficiency is related to the radial angle,detection distance, and gamma-ray energy. In this work, on the basis of a back-propagation(BP) neural network model,a method to determine the gamma point source efficiency is developed and validated. The efficiency of the point sources ^(137)Cs and ^(60)Co at discrete radial angles, detection distances, and gamma-ray energies is measured, and the BP neural network prediction model is constructed using MATLAB. The gamma point source efficiencies at different radial angles, detection distances, and gamma-ray energies are predicted quickly and accurately using this nonlinear prediction model. The results show that the maximum error between the predicted and experimental values is 3.732% at 661.661 keV, 11π/24, and 35 cm, and those under other conditions are less than 3%. The gamma point source efficiencies obtained using the BP neural network model are in good agreement with experimental data.
