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.
@article{arxiv.2102.10413,
title = {Analysis methods and code for very high-precision mass measurements of unstable isotopes},
author = {Jonas Karthein and Dinko Atanasov and Klaus Blaum and David Lunney and Vladimir Manea and Maxime Mougeot},
journal= {arXiv preprint arXiv:2102.10413},
year = {2021}
}
Comments
14 pages, 6 figures, 1 table, code available via Zenodo/GitHub (https://doi.org/10.5281/zenodo.4553515)