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PlumeSwift

An independently maintained Python port of QES v2.3.1, previously released as QESx. It implements public QES algorithms for 3D wind fields, Lagrangian particle dispersion and fire-related workflows. The Python API also includes experimental liquid hydrogen thermodynamics, buoyancy and drag coupling. This alpha has partial upstream coverage and has been compared against selected original QES cases and FFI concentration measurements.

Install

python -m pip install --pre plumeswift
plumeswift --help
plumeswift runtime-info

Run the bundled synthetic liquid hydrogen example and open its interactive 3D concentration plot in a browser:

python -m pip install "plumeswift[visual]==0.1.0a4"
plumeswift lh2-demo --output lh2-result --open

Use plumeswift lh2-demo --write-input lh2-case.json to export the editable input. See the repository README for the input fields and output file layout.

Download FFI-RAPPORT 20/03101 from the FFI publication page and save it as ffi-report.pdf. PlumeSwift reads the sensor means from the local PDF and links the comparisons and interactive 3D plumes in the result index.

python -m pip install "plumeswift[fast,visual,ffi]==0.1.0a4"
plumeswift lh2-ffi --report ffi-report.pdf --workers 5 --output ffi-results --open

Use --tests 3 for a single experiment or --no-3d for sensor comparisons alone.

The optional fast extra adds Numba for the physical-coordinate interpolation, voxel-wall traversal and 3×3 GLE solve. The thermo extra adds CoolProp. The package exposes the plumeswift command and Python module. The original command interfaces are available as subcommands, for example plumeswift qesWinds.

The source repository documents supported options, research limitations, provenance and the experimental status of the LH₂ model. The current evidence does not establish the model's suitability for determining safety distances.

The QES-derived code is GPL-3.0-only. The glibc-derived numerical components retain LGPL-2.1-or-later. See the included license files and NOTICE.

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