Analysis methods and code for very highprecision 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 stateoftheart mass spectrometry method called phaseimaging ioncyclotronresonance (PIICR). A stepbystep description of the dataset construction and analysis algorithm is given. The code features a new phasedetermination approach that offers up to 10 times smaller statistical uncertainties. This improvement in statistical uncertainty is confirmed using extensive MonteCarlo simulations and allows for very highprecision 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:

 PIICR;
 Penning trap;
 Mass spectrometry;
 Radioactive isotopes;
 Python;
 Monte Carlo simulation;
 Physics  Computational Physics;
 Nuclear Experiment
 EPrint:
 14 pages, 6 figures, 1 table, code available via Zenodo/GitHub (https://doi.org/10.5281/zenodo.4553515)