Python fitter package for multiple computational back-ends

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  • License: Apache Software License (Apache License)
  • Author: Common Partial Wave Analysis
  • Maintainer:
  • Tags HEP, PWA, amplitude analysis, partial wave analysis, particle physics, physics, tensorflow
  • Requires: Python >=3.9
  • Provides-Extra: jax, numba, phsp, pwa, scipy, tf
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TensorWaves

10.5281/zenodo.5526650 License

PyPI package Conda package Supported Python versions

Binder Google Colab Open in Visual Studio Code

Documentation build status pre-commit.ci status pytest Checked with mypy Test coverage Spelling checked code style: prettier Ruff uv

TensorWaves is a fitter package that optimizes mathematical models to data samples. The models can be any symbolic mathematical expression that is then converted to any computational backend. In addition, TensorWaves provides functionality to generate toy Monte Carlo data samples. The package is developed in parallel with AmpForm, which implements physics models, but its 'lambdifying' mechanisms can in principle be used independently.

All documentation can be found on tensorwaves.rtfd.io.

For an overview of upcoming releases and planned functionality, see here.

Contribute

See CONTRIBUTING.md

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