RionID (Ring-stored ion IDentification)

RionID is a Python GUI application for identifying stored highly charged ions in storage-ring Schottky spectra. Given a reference ion, a momentum-compaction factor, and a candidate ion list, it computes expected revolution-frequency patterns, applies an empirical polynomial correction anchored to known lines, and overlays the result on the experimental spectrum for expert assessment.

RionID performs deterministic forward simulation and expert-guided overlay — it computes and displays where candidate ions are expected to appear, and lets you compare that against the data. It does not do automatic or autonomous ion identification. There is no automatic peak-to-ion assignment, no classifier, and no hidden ranking logic — every displayed candidate is one you asked for, and every accepted assignment is one you make yourself.

• Pure Python: no ROOT dependencies.
• Reference-anchored forward simulation: candidate revolution frequencies from ionic mass-to-charge ratios and a user-specified reference ion, projected to any requested harmonics.
• Polynomial residual correction: an explicit, user-supplied quadratic correction in revolution-frequency space, applied consistently across harmonics.
• Interactive spectrum overlay: pan, zoom, and inspect candidate ion labels against 1D experimental spectra.
• Standalone: bundles lisereader (GPL-3.0) for LISE++ candidate-list import without extra dependency management.

pip install rionid

PyPI serves the latest release.

git clone https://github.com/GSI-Nuclear-Astrophysics/rionid.git
cd rionid
pip install -e ".[dev]"

The GUI stores local settings and file paths in parameters_cache.toml. That file is ignored by Git. A sanitized template is provided as parameters_cache.example.toml; copy it locally if you want to reset or prepare the settings manually.

rionid

Fill in a reference ion, momentum-compaction factor, exactly one reference-frequency value (frequency, Brho, kinetic energy, or gamma), a candidate list (LISE++ .lpp output), and a spectrum file, then run the simulation from the window. The GUI uses the ESR circumference of 108.36 m.

datafile.npz needs arr_0/arr_1 keys (frequency, amplitude) by default, or any two array keys mapped via the GUI's key-selection dialog.

For command-line use, run rionid-cli --help or python3 -m rionid --help. The LISE++ candidate list, reference ion, momentum-compaction factor, and exactly one reference-frequency mode are required. The ring circumference defaults to the ESR value of 108.36 m and can be changed with --circumference.

A small redistributable candidate list is included for testing the full CLI workflow:

python examples/quickstart.py
rionid-cli examples/data/quickstart_synthetic.npz \
  -psim examples/data/candidates.lpp \
  -r 72Ge32+ -ap 0.189 -f 1930000 -hrm 127

• Spectra: .npz (configurable key mapping), .csv (pipe-delimited), .bin_fre/.bin_time/.bin_amp (TDSM binary triples).
• Candidate lists: LISE++ output (.lpp).
• Export: .ods (candidate table), simulation_result.out (fixed-width text table).
• .root files are explicitly not supported — this is a deliberate restriction, not a bug; convert to .npz/.csv first.

• No network access on first run: the AME2020 mass table is downloaded to ~/.ame/ on first use if not already cached there. If you have no network access, obtain ~/.ame/ame.data from a machine that does, and copy the ~/.ame/ directory over.
• Qt import crashes / binding-detection errors: if you have both PyQt5 and PySide6 installed, some Qt-related tooling (notably pytest-qt, if you're running the test suite) can crash trying to auto-detect which binding to use. Ensure only one Qt binding is installed in your environment, or see tests/conftest.py for how this project works around it during testing.
• GUI window doesn't appear / crashes with no display: RionID needs a display server. On a headless machine, set QT_QPA_PLATFORM=offscreen for testing/scripting purposes (this disables the actual visible window — it's for automated checks, not for normal interactive use).

If you use RionID, please cite it as described in CITATION.cff.

• The polynomial correction is setting-specific: coefficients fitted for one ring configuration, optics, or cooling condition are not valid for another without re-validation.
• A quadratic correction order is justified only by the anchor residuals observed over the fitted interval — it is not a first-principles model, and extrapolation outside that interval is not supported.
• Candidate-list completeness bounds every assignment: an unlisted species cannot be identified.
• Unresolved blends and weak lines may remain ambiguous even with multi-harmonic, multi-detector comparison.
• RionID supports identification preceding a mass or lifetime measurement; it does not replace dedicated mass-calibration or lifetime-analysis procedures.
• This release performs no automatic or autonomous species assignment — see "Scope and non-goals" above.

• Dr. RuiJiu Chen for providing the C++ Time-of-Flight simulation code that inspired the backbone of this software.
• Dr. Shahab Sanjari for guidance on software architecture and Schottky analysis.

This project is licensed under the GNU General Public License v3.0. See the LICENSE file for details.