| Article | |
| Report number | arXiv:2102.10413 |
| Title | Analysis methods and code for very high-precision mass measurements of unstable isotopes |
| Author(s) | Karthein, Jonas (CERN ; Heidelberg, Max Planck Inst.) ; Atanasov, Dinko (CERN) ; Blaum, Klaus (Heidelberg, Max Planck Inst.) ; Lunney, David (IJCLab, Orsay) ; Manea, Vladimir (IJCLab, Orsay) ; Mougeot, Maxime (CERN) |
| Publication | 2021-10 |
| Imprint | 2021-02-20 |
| Number of pages | 14 |
| Note | 14 pages, 6 figures, 1 table, code available via Zenodo/GitHub (https://doi.org/10.5281/zenodo.4553515) |
| In: | Comput. Phys. Commun. 267 (2021) 108070 |
| DOI | 10.1016/j.cpc.2021.108070 (publication) |
| Subject category | nucl-ex ; Nuclear Physics - Experiment ; physics.comp-ph ; Other Fields of Physics |
| 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. |
| Copyright/License | preprint: (License: CC BY-NC-SA 4.0) publication: © 2021-2025 Elsevier B.V. |
Corresponding record in: Inspire
Rekord stworzony 2021-03-10, ostatnia modyfikacja 2023-11-18
