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在就地 γ谱仪搜索扫描测量“热粒子”、“放射性汇集点”、“放射性汇集区”过程中, 只能给出污染源的大概位置, 不能给出源的污染深度等边界参数. 本文主要对虚拟技术在就地 γ谱仪搜索扫描测量细化污染源边界中的应用进行了研究. 将就地 γ谱仪测量对象简化成衰减层 + 放射性热区(测量目标源) + 衰减层 + 干扰源的四层理论模型, 运用虚拟技术将源项层虚拟成点源, 进一步简化了理论模型, 使用蒙特卡罗方法模拟计算探测效率与峰谷比等参数, 最后使用最小二乘法使模拟计算结果反演逼近源项实际参数, 从而建立了源边界参数反演计算的理论方法及步骤. 理论研究和实验结果一致, 验证了所建立的计算模型和技术方法是正确可靠的. 目前, 对于均匀分布的放射性核素, 该技术已经能够准确确定污染区域深度分布等边界参数, 从而在治理时达到废物处置减容的目的. 同时, 该技术对于禁核试核查目标核弹头惰层厚度参数的确定也具有重大的参考价值.In the in situ γspectrometer based measurement of " hot particular”, " radioactive collection point” and " radioactive collection area”, only the position of the pollution source can be located roughly, but its boundary parameters such as the thickness of pollution source cannot be given. In this paper, the application of virtual technology to the scanning of γspectrometer is studied. We convert γspectrometer measurement objects into a four-layer theoretical model, which are attenuation thickness + radioactive hot area + attenuation thickness + disturb source. Then, the source item layer is virtualized into a point source by using virtual technology. So, the theoretical model is further simplified. Then the detection efficiency and peak/valley ratio parameter of source term are simulated by Monte Carlo method. Finally, the source term parameters are retrieved by using the least square method, and thus establishing the theoretical method and procedure of inversion calculation of source boundary parameters. In this paper, the theoretical and experimental results are shown to be consistent with each other. So, this method is verified to be correct and practicable. Currently, the method can accurately determine the depth distribution parameters of radioactive contamination area for uniformly distributed radio nuclides. In conclusion, the technical achievements can be used to accurately determine the boundary range of the radioactive hot zone, thus realizing the purpose of reducing the waste disposal capacity during the treatment. At the same time, the determination of the inert layer thickness parameters of the target nuclear warhead of Nuclear Test Ban Treaty has a significant reference value.
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测量对象 测量时长t/105s N241(54—57 keV) N241(59.54 keV) N239(51.62, 129 keV) A/104Bq 241Am 239Pu 探测模式1 3.16 4325136 25339979 — — — 239Pu体源 2.00 — 75248200 239711, 52717 4.56 18.7 
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测量对象 测量时长t/105s N241(26.4 keV) N241(54—57 keV) N241(59.54 keV) A/× 104Bq 26.4 keV 59.54 keV 探测模式2 4.00 240050 9531180 65964536 8.16 8.91 241Am点源 0.565 4160024 — 65331456 7.74 8.38 241Am体源 0.800 45346 — 2745773 0.423 0.532 下载:
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h/cm ${\varepsilon _{241}}(h)$/10–3 ${\varepsilon _{239}}(h)$/10–3 A241/104Bq A239/105Bq Q ${N}/{ { {N_{\rm v}} } }(h)$ –1.25 24.3 24.6 0.921 0.497 5.4 8.05 –1.60 17.9 19.5 1.24 0.629 5.0 6.99 –2.00 12.9 15.1 1.73 0.810 4.7 6.12 –2.40 9.45 11.9 2.36 1.03 4.4 5.44 –2.80 7.00 9.45 3.19 1.30 4.1 4.92 –3.20 5.24 7.60 4.26 1.61 3.8 4.51 –3.60 3.97 6.16 5.62 1.98 3.5 4.18 –3.80 3.47 5.56 6.45 2.20 3.4 4.04 –4.00 3.03 5.04 7.37 2.43 3.3 3.90 下载:
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w h/cm $\varepsilon (h)$/10–3 ${\varepsilon ^*}(h)$/10–3 ${N}/{ { {N_{\rm v}} } }(h)$ X2/10–3 X3/10–3 X1 $\sigma (X)$ 0.10 –1.25 24.3 24.6 8.05 — — — — 0.90 –3.20 5.24 7.60 4.51 7.15 9.30 4.87 0.177 0.90 –3.60 3.97 6.16 4.18 6.00 8.01 4.56 0.308 0.90 –3.80 3.47 5.56 4.04 5.55 7.47 4.44 0.385 0.90 –4.00 3.03 5.04 3.90 5.16 6.99 4.31 0.458 0.10 –1.60 17.9 19.5 6.99 — — — — 0.90 –3.20 5.24 7.60 4.51 6.51 8.79 4.76 0.217 0.90 –3.60 3.97 6.16 4.18 5.36 7.50 4.46 0.396 0.90 –3.80 3.47 5.56 4.04 4.91 6.96 4.33 0.479 0.90 –4.00 3.03 5.04 3.90 4.52 6.48 4.21 0.554 0.10 –2.00 12.9 15.1 6.12 — — — — 0.90 –3.20 5.24 7.60 4.51 6.01 8.35 4.67 0.277 0.90 –3.60 3.97 6.16 4.18 4.86 7.06 4.37 0.474 0.90 –3.80 3.47 5.56 4.04 4.41 6.52 4.24 0.559 0.90 –4.00 3.03 5.04 3.90 4.02 6.04 4.12 0.635 0.10 –2.40 9.45 11.9 5.44 — — — — 0.90 –3.20 5.24 7.60 4.51 5.66 8.03 4.61 0.327 0.90 –3.60 3.97 6.16 4.18 4.52 6.74 4.30 0.530 0.90 –3.80 3.47 5.56 4.04 4.06 6.20 4.18 0.616 0.90 –4.00 3.03 5.04 3.90 3.67 5.72 4.05 0.693 下载:
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h/cm w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ –1.25 0.10 — 0.20 — 0.30 — 0.40 — 0.50 — –3.20 0.90 0.177 0.80 0.355 0.70 0.664 0.60 0.988 0.50 1.32 –3.60 0.90 0.308 0.80 0.223 0.70 0.508 0.60 0.848 0.50 1.20 –3.80 0.90 0.385 0.80 0.201 0.70 0.448 0.60 0.792 0.50 1.15 –4.00 0.90 0.458 0.80 0.210 0.70 0.399 0.60 0.744 0.50 1.11 –1.60 0.10 — 0.20 — 0.30 — 0.40 — 0.50 — –3.20 0.90 0.217 0.80 0.195 0.70 0.360 0.60 0.568 0.50 0.784 –3.60 0.90 0.396 0.80 0.210 0.70 0.234 0.60 0.435 0.50 0.669 –3.80 0.90 0.479 0.80 0.262 0.70 0.203 0.60 0.384 0.50 0.622 –4.00 0.90 0.554 0.80 0.318 0.70 0.196 0.60 0.343 0.50 0.583 –2.00 0.10 — 0.20 — 0.30 — 0.40 — 0.50 — –3.20 0.90 0.277 0.80 0.187 0.70 0.177 0.60 0.256 0.50 0.371 –3.60 0.90 0.474 0.80 0.328 0.70 0.210 0.60 0.181 0.50 0.272 –3.80 0.90 0.559 0.80 0.399 0.70 0.257 0.60 0.178 0.50 0.238 –4.00 0.90 0.635 0.80 0.465 0.70 0.307 0.60 0.193 0.50 0.215 –2.40 0.10 — 0.20 — 0.30 — 0.40 — 0.50 — –3.20 0.90 0.327 0.80 0.264 0.70 0.209 0.60 0.173 0.50 0.167 –3.60 0.90 0.530 0.80 0.435 0.70 0.344 0.60 0.261 0.50 0.195 –3.80 0.90 0.616 0.80 0.510 0.70 0.407 0.60 0.309 0.50 0.225 –4.00 0.90 0.693 0.80 0.577 0.70 0.464 0.60 0.356 0.50 0.257 下载:
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h/cm w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ –1.25 0.60 — 0.70 — 0.80 — 0.9 — –3.20 0.40 1.65 0.30 1.98 0.20 2.31 0.10 2.64 –3.60 0.40 1.55 0.30 1.90 0.20 2.26 0.10 2.61 –3.80 0.40 1.51 0.30 1.88 0.20 2.24 0.10 2.60 –4.00 0.40 1.48 0.30 1.85 0.20 2.22 0.10 2.60 –1.60 0.60 — 0.70 — 0.80 — 0.90 — –3.20 0.40 1.00 0.30 1.23 0.20 1.45 0.10 1.67 –3.60 0.40 0.910 0.30 1.16 0.20 1.40 0.10 1.65 –3.80 0.40 0.872 0.30 1.13 0.20 1.38 0.10 1.64 –4.00 0.40 0.839 0.30 1.10 0.20 1.37 0.10 1.63 –2.00 0.60 — 0.70 — 0.80 — 0.90 — –3.20 0.40 0.498 0.30 0.630 0.20 0.763 0.10 0.898 –3.60 0.40 0.410 0.30 0.561 0.20 0.716 0.10 0.875 –3.80 0.40 0.375 0.30 0.533 0.20 0.698 0.10 0.865 –4.00 0.40 0.347 0.30 0.509 0.20 0.681 0.10 0.857 –2.40 0.60 — 0.70 — 0.80 — 0.90 — –3.20 0.40 0.194 0.30 0.244 0.20 0.305 0.10 0.372 –3.60 0.40 0.169 0.30 0.199 0.20 0.267 0.10 0.351 –3.80 0.40 0.174 0.30 0.186 0.20 0.252 0.10 0.342 –4.00 0.40 0.186 0.30 0.178 0.20 0.240 0.10 0.335 下载:
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hV/cm 体源厚度/cm $\varepsilon ({h_{\rm{V}}})$
/10–3${\varepsilon ^*}({h_{\rm{V}}})$
/10–2${N}/{ { {N_{\rm v}} } }({h_{\rm{V} } })$ $\sigma (X)$ –2.80 0.80 4.54 0.689 4.69 0.444 –2.80 1.2 4.60 0.696 4.74 0.431 –2.80 1.6 4.70 0.705 4.81 0.414 –2.45 0.80 5.68 0.818 5.03 0.231 –2.45 1.2 5.76 0.826 5.07 0.217 –2.45 1.6 5.89 0.837 5.16 0.200 –2.45 2.0 6.05 0.851 5.26 0.181 –2.45 2.5 6.31 0.874 5.41 0.159 –2.45 3.0 6.65 0.903 5.63 0.163 –2.45 4.0 7.57 0.981 6.24 0.289 –2.45 4.9 8.78 1.08 7.12 0.539 –2.00 0.80 7.62 1.03 5.58 0.188 –2.00 1.2 7.75 1.04 5.64 0.212 –2.00 1.6 7.93 1.05 5.75 0.248 –2.00 2.0 8.17 1.07 5.88 0.295 –2.00 2.5 8.55 1.10 6.11 0.373 –2.00 3.0 9.03 1.14 6.41 0.474 –2.00 4.0 10.4 1.25 7.35 0.769 –1.50 0.80 10.7 1.33 6.43 0.744 –1.50 1.2 10.9 1.35 6.54 0.781 –1.50 1.6 11.2 1.37 6.68 0.834 –1.50 2.0 11.5 1.40 6.90 0.905 –1.50 3.0 12.9 1.50 7.79 1.18 –0.50 0.80 22.0 2.34 10.1 2.81 下载:
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h/cm ${\varepsilon _{26.4\;{\rm{keV}}}}(h)$/10–3 ${\varepsilon _{59.54\;{\rm{keV}}}}(h)$/10–2 A26.4 keV/104Bq A59.54 keV/104Bq A59.54 keV/A26.4 keV ${N}/{ { {N_{\rm v}} } }(h)$ 0.80 48.200 14.4 0.0519 0.318 6.10 17.0 0.40 13.500 8.79 0.1850 0.523 2.80 12.0 0 4.060 5.56 0.6150 0.826 1.30 9.3 –0.20 2.260 4.48 1.1100 1.030 0.90 8.4 –0.40 1.270 3.64 1.9700 1.260 0.60 7.7 –0.60 0.717 2.98 3.4900 1.540 0.40 7.1 –0.80 0.409 2.45 6.1200 1.880 0.30 6.6 下载:
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hV/cm 体源
厚度/cm${\varepsilon ^*}({h_{\rm{V}}})$/
10–2$\varepsilon ({h_{\rm{V}}})$/
10–3${N}/{ { {N_{\rm v}} } }({h_{\rm{V} } })$ $\sigma (X)$ hV/cm 体源
厚度/cm${\varepsilon ^*}({h_{\rm{V}}})$/
10–2$\varepsilon ({h_{\rm{V}}})$/
10–3${N}/{ { {N_{\rm v}} } }({h_{\rm{V} } })$ $\sigma (X)$ 0.75 1.00 3.54 10.4 11.90 1.5900 0.15 2.20 2.45 5.00 9.34 0.2310 0.75 0.60 3.47 8.06 11.40 1.0100 0.15 1.60 2.31 2.69 8.54 0.3470 0.75 0.30 3.44 7.23 11.20 0.8060 0.15 1.00 2.21 1.72 8.07 0.5920 0.25 2.00 2.59 5.49 9.61 0.3530 0.15 0.40 2.17 1.32 7.86 0.6920 0.25 1.90 2.56 4.91 9.44 0.2110 0 2.50 2.26 4.40 9.00 0.0900 0.25 1.80 2.54 4.42 9.29 0.0890 0 2.45 2.24 4.14 8.90 0.0470 0.25 1.70 2.51 4.00 9.14 0.0220 0 2.40 2.23 3.90 8.83 0.0640 0.25 1.60 2.49 3.63 9.03 0.1090 0 2.00 2.13 2.52 8.30 0.3950 0.25 1.50 2.47 3.32 8.92 0.1870 0 1.50 2.04 1.60 7.83 0.6260 0.25 1.30 2.43 2.81 8.72 0.3130 0 1.00 1.97 1.13 7.54 0.7470 0.25 0.80 2.37 2.04 8.38 0.5080 –0.25 1.10 1.65 0.602 6.86 0.8910 –0.25 0.50 1.61 0.457 6.70 0.9300 下载:
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h/cm w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ 0.80 0.10 — 0.20 — 0.30 — 0.40 — 0.50 — –0.40 0.90 2.414 0.80 1.783 0.70 2.807 0.60 3.832 0.50 4.86 –0.60 0.90 2.115 0.80 1.512 0.70 2.569 0.60 3.627 0.50 4.69 –0.80 0.90 1.951 0.80 1.362 0.70 2.433 0.60 3.510 0.50 4.59 0.40 0.10 — 0.20 — 0.30 — 0.40 — 0.50 — –0.40 0.90 0.466 0.80 0.291 0.70 0.529 0.60 0.780 0.50 1.03 –0.60 0.90 0.177 0.80 0.119 0.70 0.286 0.60 0.567 0.50 0.857 –0.80 0.90 0.185 0.80 0.245 0.70 0.175 0.60 0.447 0.50 0.753 0 0.10 — 0.20 — 0.30 — 0.40 — 0.50 — –0.40 0.90 0.190 0.80 0.160 0.70 0.168 0.60 0.235 0.50 0.327 –0.60 0.90 0.431 0.80 0.346 0.70 0.214 0.60 0.123 0.50 0.165 –0.80 0.90 0.620 0.80 0.512 0.70 0.350 0.60 0.197 0.50 0.112 下载:
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h/cm w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ w $\sigma (X)$ 0.80 0.60 — 0.70 — 0.80 – 0.90 — –0.40 0.40 5.88 0.30 6.91 0.20 7.93 0.10 8.96 –0.60 0.40 5.75 0.30 6.81 0.20 7.87 0.10 8.92 –0.80 0.40 5.67 0.30 6.75 0.20 7.83 0.10 8.90 0.40 0.60 – 0.70 — 0.80 – 0.90 — –0.40 0.40 1.29 0.30 1.55 0.20 1.80 0.10 2.06 –0.60 0.40 1.15 0.30 1.44 0.20 1.73 0.10 2.03 –0.80 0.40 1.06 0.30 1.38 0.20 1.69 0.10 2.01 0 0.60 — 0.70 — 0.80 — 0.90 — –0.40 0.40 0.427 0.30 0.532 0.20 0.639 0.10 0.747 –0.60 0.40 0.287 0.30 0.425 0.20 0.567 0.10 0.711 –0.80 0.40 0.207 0.30 0.361 0.20 0.523 0.10 0.689 下载:
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[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17]
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