rionid is a Python code that simulates the time-of-flight (ToF) spectrum of particles in a storage ring. Here is a guide on how to use rionid (for more details please check dfreiref.github.io/rionid/):

• Download and install Barion from @Xaratustrah, LISEreader from @gwgwhc and PyROOT

• Download or clone the rionid repository:

  git clone https://github.com/DFreireF/rionid.git

• Then in the cloned directory:

  pip install .

Navigate to the directory containing the rionid code in your terminal. Run python __main__.py [arguments], replacing [arguments] with the desired arguments (detailed below).

The following arguments are available for use with rionid:

• datafile (required): Name of the input file with data. Can also be a list of files in a txt file.
• alphap: Momentum compaction factor of the ring.
• refion: Reference ion with format NucleonsNameChargestate := AAXX+CC. Example: 72Ge+35, 1H+1, 238U+92...
• filep: Read list of particles to simulate. LISE file or something else.

• harmonics: Harmonics to simulate.

• brho: Brho value of the reference nucleus at ESR (isochronous mode).
• kenergy: Kinetic energy of reference nucleus at ESR (isochronous mode).
• gamma: Lorentz factor gamma of the reference particle.
• fref: Revolution frequency of the reference particle (standard mode).

• ndivs: Number of divisions in the display.
• amplitude: Display of srf data options. 0 -> constant height, else->scaled.

• log: Set the logging level.
• show: Show display. If not, save root file and close display.
• outdir: Output directory.
• correct: Correct simulated spectrum following a polynomial fit with paremeters given here.

    python -m rionid datafile.txt -f 11.2452 -r 209Bi+83 -psim datafile.psim -b 5.5 -d 8 -am 1 -s -o output_folder -c 1 2 3

This command would run rionid on the datafile.txt input file, using the standard mode with a reference frequency of 11.2452, a reference ion of 209Bi+83, a particle input file of datafile.psim, a brho value of 5.5, and displaying the data with 8 divisions, scaled amplitude, and showing the display. The output files would be saved in the output_folder directory, and the simulated spectrum would be corrected using the polynomial fit parameters 1, 2, and 3.

Tutorial for introducing yourself to Schottky data analysis by G. Hudson-Chang @gwgwhc.

We acknowledge Dr. RuiJiu Chen (@chenruijiu) for providing a c++ code for the simulation of ToF which we used as inspiration for the backbone of this code.
We acknowledge Dr. Shahab Sanajri (@xaratustrah) for the guiding our software coding, specially in the initial stages.