Data and Analysis for Optimizing Antihydrogen Production in ASACUSA's Cusp trap
Abstract
gnuplot.zip contains --all the plotted data--the gnuplot scripts to generate the plots--some simple analysis in spreadsheets and R NumericalSolutions.zip contains--plasma solver output for the range of conditions used to generate italicized rows in Table 1--Python code for computing weighted mean and standard deviation slowext.zip contains--raw data underlying Fig. 4--Python code for producing the plotted data--videos (.gif) for each extraction time TimingScintEff.ods contains --analysis of Timing Scint data to get the relative counting efficiency at mixing and null dump
Fields of Study & Subjects
Data Analysis with R
SAS software applications and methods
Computational Physics and Python Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 January 2026
- Document type
- Book