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首页> 外文期刊>EPJ Web of Conferences >VRF (“Visual RobFit”) — nuclear spectral analysis with non-linear full-spectrum nuclide shape fitting
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VRF (“Visual RobFit”) — nuclear spectral analysis with non-linear full-spectrum nuclide shape fitting

机译:VRF(“ Visual RobFit”)—非线性全光谱核素形状拟合的核光谱分析

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A new application (known as “VRF”, or “Visual RobFit”) for analysis of high-resolution gamma-ray spectra has been developed using non-linear fitting techniques to fit full-spectrum nuclide shapes. In contrast to conventional methods based on the results of an initial peak-search, the VRF analysis method forms, at each of many automated iterations, a spectrum-wide shape for each nuclide and, also at each iteration, it adjusts the activities of each nuclide, as well as user-enabled parameters of energy calibration, attenuation by up to three intervening or self-absorbing materials, peak width as a function of energy, full-energy peak efficiency, and coincidence summing until no better fit to the data can be obtained. This approach, which employs a new and significantly advanced underlying fitting engine especially adapted to nuclear spectra, allows identification of minor peaks that are masked by larger, overlapping peaks that would not otherwise be possible. The application and method are briefly described and two examples are presented.
机译:使用非线性拟合技术来拟合全光谱核素形状,已经开发出了一种用于解析高分辨率伽马射线光谱的新应用程序(称为“ VRF”或“ Visual RobFit”)。与基于初始峰搜索结果的传统方法相比,VRF分析方法在许多自动迭代中的每一个上都形成了每个核素的光谱范围形状,并且在每次迭代中都调整了每个核素的活性。核素以及用户启用的能量校准参数,最多三种中间或自吸收材料的衰减,峰宽度随能量的变化,全能量峰效率以及巧合之和,直到无法更好地拟合数据为止获得。这种方法采用了一种特别适合于核能谱的新型且显着先进的基础拟合引擎,可以识别被较大的重叠峰掩盖的较小峰,否则这些峰将无法实现。简要描述了该应用程序和方法,并给出了两个示例。

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