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A new software implementation of the Oslo method with rigorous statistical uncertainty propagation
Computer Physics Communications ( IF 6.3 ) Pub Date : 2021-05-01 , DOI: 10.1016/j.cpc.2020.107795
Jørgen E. Midtbø , Fabio Zeiser , Erlend Lima , Ann-Cecilie Larsen , Gry M. Tveten , Magne Guttormsen , Frank Leonel Bello Garrote , Anders Kvellestad , Therese Renstrøm

The Oslo method comprises a set of analysis techniques designed to extract nuclear level density and average $\gamma$-decay strength from a set of excitation-energy tagged $\gamma$-ray spectra. Here we present a new software implementation of the entire Oslo method, called OMpy. We provide a summary of the theoretical basis and derive the essential equations used in the Oslo method. In addition to the functionality of the original analysis code, the new implementation includes novel components such as a rigorous method to propagate uncertainties throughout all steps of the Oslo method using a Monte Carlo approach. The resulting level density and $\gamma$-ray strength have to be normalized to auxiliary data. The normalization is performed simultaneously for both quantities, thus preserving all correlations. The software is verified by the analysis of a synthetic spectrum and compared to the results of the previous implementation, the oslo-method-software.

中文翻译:

具有严格统计不确定性传播的奥斯陆方法的新软件实现

奥斯陆方法包括一组分析技术,旨在从一组激发能量标记的 $\gamma$ 射线光谱中提取核能级密度和平均 $\gamma$-衰变强度。在这里,我们展示了整个 Oslo 方法的新软件实现,称为 OMpy。我们总结了理论基础并推导出了奥斯陆方法中使用的基本方程。除了原始分析代码的功能外,新的实现还包括新颖的组件,例如使用蒙特卡罗方法在奥斯陆方法的所有步骤中传播不确定性的严格方法。产生的能级密度和 $\gamma$ 射线强度必须归一化为辅助数据。对两个量同时进行归一化,从而保留所有相关性。
更新日期:2021-05-01
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