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arXiv · 2102.10413

Analysis methods and code for very high-precision mass measurements of unstable isotopes

Jonas Karthein·Dinko Atanasov·Klaus Blaum·David Lunney·Vladimir Manea·Maxime Mougeot
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Abstract

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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Jonas Karthein, Dinko Atanasov, Klaus Blaum, David Lunney, Vladimir Manea, Maxime Mougeot. 2021-02-20. Analysis methods and code for very high-precision mass measurements of unstable isotopes. https://doi.org/10.1016/j.cpc.2021.108070

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