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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)特别感兴趣地检测特殊核材料,其中同位素表征至关重要。 NRF通过利用原子的核结构来允许特异性同位素识别,并具有强大的主动询问技术。本文将专注于两种NRF仿真方法的开发。两种方法都将使用MCNPX和方差减少方法来再现Bertozzi等[1]进行的实验结果。使用两种方法模拟测量,并将每个核共振中的检测器中的计数数与测量数据进行比较。第一种技术开发而不包括MCNPX光子核库中的NRF横截面〜(235)U.基于来自参考文献[1]的横截面测量来分析地计算NRF反应速率。第二种技术涉及到ENDF / B-VII NRF光子核库的更新,其现在包括〜(235)U的NRF横截面。鉴于测量的横截面中的不确定性,这两个模拟技术都产生了相对一致的结果。然而,模拟结果通过预测来自测量数据的照片峰的积分。

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