raypyng 2.0.0a1

Python interface for RAY-UI x-ray tracing program

raypyng

raypyng is a Python interface for RAY-UI, the ray-tracing software developed at Helmholtz-Zentrum Berlin for synchrotron beamlines and X-ray optics.

It loads a beamline saved from RAY-UI as an .rml file, scans beamline parameters, runs traces in parallel, and post-processes the exported rays.

Highlights

• Works on Linux, macOS, and Windows.
• Drives RAY-UI from Python through a simple simulation API.
• Supports parameter scans and parallel execution.
• Can post-process raw exported rays directly in raypyng.
• Includes automated unit, smoke, platform, and functional tests.
• Offers experimental rayx backend support.

Installation

raypyng requires:

1. RAY-UI installed on your machine.
2. Python 3.10 or newer.

Install the Python package with:

python3 -m pip install --upgrade raypyng

For local development in this repository:

./tools/bootstrap.sh

On Windows PowerShell:

.\tools\bootstrap_windows.ps1
.\.venv\Scripts\Activate.ps1

Notes:

• On Linux, xvfb is needed for headless RAY-UI execution.
• On macOS and Windows, xvfb is not needed.
• On Windows and macOS, put sim.run(...) under if __name__ == "__main__": when using multiprocessing.

Quickstart

import numpy as np
from raypyng import Simulate

if __name__ == "__main__":
    sim = Simulate("rml/dipole_beamline.rml", hide=True)
    beamline = sim.rml.beamline

    sim.params = [
        {beamline.Dipole.photonEnergy: np.arange(200, 2001, 200)},
    ]
    sim.exports = [{beamline.DetectorAtFocus: ["RawRaysOutgoing"]}]
    sim.simulation_name = "quickstart"
    sim.analyze = False
    sim.raypyng_analysis = True

    sim.run(multiprocessing="auto", force=True)

This writes the simulation output into a RAYPy_Simulation_quickstart folder.

Experimental rayx support

raypyng can also use rayx as an experimental backend:

pip install "raypyng[rayx]"

The integration is still unstable and should be cross-checked against RAY-UI, especially for beamlines with diffraction gratings.

Tests

The repository includes four kinds of automated tests:

• unit
• smoke
• platform
• functional

See tests/test.md for setup and run commands.

Documentation

• Full documentation: https://raypyng.readthedocs.io/en/latest/index.html
• Installation guide: https://raypyng.readthedocs.io/en/latest/installation.html
• Tutorial: https://raypyng.readthedocs.io/en/latest/tutorial.html
• Troubleshooting: https://raypyng.readthedocs.io/en/latest/troubleshooting.html

Versioning

raypyng follows classic semantic versioning:

• MAJOR for incompatible or substantial user-facing changes
• MINOR for backward-compatible new features
• PATCH for backward-compatible bug fixes and smaller corrections

Contact

For questions about use rights or licensing, contact Simone Vadilonga: [e-mail]