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Python fitter package for multiple computational back-ends

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10.5281/zenodo.5526650 GPLv3+ license

PyPI package Conda package Supported Python versions

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Documentation build status status pytest Checked with mypy Test coverage Codacy Badge Spelling checked code style: prettier Code style: black Imports: isort

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

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



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