不稳定同位素高精度质量测量的分析方法和程序
Analysis methods and code for very high-precision mass measurements of unstable isotopes
摘要：
我们提出了一个强大的分析代码开发的Python语言，并纳入库的根数据分析框架的国家的最先进的质谱法称为相位成像离子回旋共振（PI-ICR）。给出了数据集构建和分析算法的逐步描述。该代码采用了一种新的相位确定方法，可提供高达10倍的统计不确定性。这种统计不确定性的改善是使用广泛的蒙特卡罗模拟证实，并允许非常高精度的研究外来核质量测试，除其他外，粒子物理学的标准模型。
英文摘要：
We present a robust analysis code developed in the Python language and incorporating libraries of the ROOT data analysis framework for the state-of-the-art mass spectrometry method called phase-imaging ion-cyclotron-resonance (PI-ICR). A step-by-step description of the dataset construction and analysis algorithm is given. The code features a new phase-determination approach that offers up to 10 times smaller statistical uncertainties. This improvement in statistical uncertainty is confirmed using extensive Monte-Carlo simulations and allows for very high-precision studies of exotic nuclear masses to test, among others, the standard model of particle physics.
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