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cff-version: 1.2.0 | ||
message: If you use this software, please cite it as below. | ||
title: >- | ||
ComPWA/tensorwaves: Python fitter package for multiple computational back-ends | ||
abstract: |- | ||
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](https://github.com/ComPWA/ampform), which implements physics models, but its 'lambdifying' mechanisms can in principle be used independently. | ||
authors: | ||
- family-names: Fritsch | ||
given-names: Miriam | ||
affiliation: Ruhr University Bochum | ||
- family-names: Pflüger | ||
given-names: Stefan | ||
affiliation: Ruhr University Bochum | ||
- family-names: de Boer | ||
given-names: Remco E. | ||
affiliation: Ruhr University Bochum | ||
- family-names: Gradl | ||
given-names: Wolfgang | ||
affiliation: Johannes Gutenberg University Mainz | ||
- family-names: Peters | ||
given-names: Klaus | ||
affiliation: GSI Helmholtzzentrum für Schwerionenforschung | ||
doi: 10.5281/zenodo.5526650 | ||
keywords: | ||
- partial wave analysis | ||
- amplitude analysis | ||
- computer algebra system | ||
- optimizer | ||
- minimizer | ||
- tensorflow | ||
- jax | ||
- numpy | ||
license: GPL-3.0-or-later | ||
repository-code: https://github.com/ComPWA/tensorwaves | ||
url: https://tensorwaves.readthedocs.io |