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Nuclear Resonance Fluorescence Simulation Techniques Using MCNP

机译:使用MCNP的核共振荧光模拟技术

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Nuclear resonance fluorescence (NRF) is of particular interest to the detection of special nuclear material where isotopic characterization is paramount. NRF allows for specific isotope identification by exploiting the nuclear structure of atoms, and has the potential to be a powerful active interrogation technique. This paper will focus on the development of two NRF simulation methods. Both methods will use MCNPX and variance reduction methods to reproduce the results of an experiment performed by Bertozzi et al [1]. The measurement was simulated with both methods and the number of counts in the detector from each nuclear resonance is compared to the measurement data. The first technique was developed without including the NRF cross sections for ~(235)U in the MCNPX photonuclear libraries. The NRF reaction rate was calculated analytically based on cross section measurements from reference [1]. The second technique involves an update to the ENDF/B-VII NRF photonuclear libraries, which now include the NRF cross sections for ~(235)U. Both simulation techniques produce relatively consistent results, given the uncertainty in the measured cross sections. However, the simulation results over predict the integrals of the photo peaks from the measurement data.
机译:核共振荧光(NRF)对于检测同位素特征最为重要的特殊核材料特别感兴趣。 NRF可以通过利用原子的核结构来进行特定的同位素识别,并且有可能成为一种强大的主动询问技术。本文将重点介绍两种NRF仿真方法的开发。两种方法都将使用MCNPX和方差减少方法来重现Bertozzi等人[1]进行的实验结果。使用这两种方法对测量进行了模拟,并将每次核共振中检测器中的计数数量与测量数据进行了比较。开发了第一种技术,但未在MCNPX光核库中包含〜(235)U的NRF横截面。根据参考文献[1]的横截面测量值,通过分析计算得出NRF反应速率。第二种技术涉及对ENDF / B-VII NRF光核库的更新,该库现在包括〜(235)U的NRF横截面。给定被测横截面的不确定性,这两种仿真技术都能产生相对一致的结果。但是,仿真结果根据测量数据过度预测了光峰的积分。

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