CITATION.cff

cff-version: 1.2.0
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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: Apache-2.0
repository-code: https://github.com/ComPWA/tensorwaves
type: software
url: https://tensorwaves.readthedocs.io