Analysis methods and code for very high-precision mass measurements of unstable isotopes
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.
- Publication:
-
Computer Physics Communications
- Pub Date:
- October 2021
- DOI:
- 10.1016/j.cpc.2021.108070
- arXiv:
- arXiv:2102.10413
- Bibcode:
- 2021CoPhC.26708070K
- Keywords:
-
- PI-ICR;
- Penning trap;
- Mass spectrometry;
- Radioactive isotopes;
- Python;
- Monte Carlo simulation;
- Physics - Computational Physics;
- Nuclear Experiment
- E-Print:
- 14 pages, 6 figures, 1 table, code available via Zenodo/GitHub (https://doi.org/10.5281/zenodo.4553515)