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Improved Isotopic Identification for NaI Spectroscopic Portal Monitors Using the Material Basis Set (MBS) Method

机译:使用材料基础集(MBS)方法改进的NaI光谱门户监视器的同位素识别

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This report describes our application of the multiple isotope material basis set (MIMBS) method for isotope identification to the analysis of simulated spectra of NaI logs used in spectral portal monitors. The MIMBS method couples attenuation corrections for shielding materials with an ordinary isotopic response function fit. Spectrum simulations of twenty-four isotopes were generated using the Speculator software (with MCNP for attenuation calculations) for a 3脳5脳16-inch NaI log detector, through a series of attenuating absorbers representing a Z range from Al through Pb. Two-isotope combinations of these were analyzed using the MIMBS algorithm, with and without added 40K background and Poisson noise. We found the MIMBS method to be highly accurate in identifying both the component isotopes and their relative amounts, even at high noise and background levels.
机译:本报告介绍了我们用于同位素识别的多同位素材料基础集(MIMBS)方法在光谱门户监控器中使用的NaI测井的模拟光谱分析中的应用。 MIMBS方法将屏蔽材料的衰减校正与普通同位素响应函数拟合相结合。使用Speculator软件(带有MCNP进行衰减计算),通过一系列代表3 Z范围从Al到Pb的衰减吸收剂,使用Speculator软件(带有MCNP用于衰减计算)生成了二十四个同位素的光谱模拟。使用MIMBS算法分析了这些化合物的两种同位素组合,有无40K背景和泊松噪声。我们发现,即使在高噪声和背景水平的情况下,MIMBS方法也可以高度准确地识别组分同位素及其相对含量。

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