Published August 9, 2022
| Version 0.4.7
Software
Open
ComPWA/tensorwaves: Python fitter package for multiple computational back-ends
- 1. Ruhr University Bochum
- 2. Johannes Gutenberg University Mainz
- 3. GSI Helmholtzzentrum für Schwerionenforschung
Description
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.
Files
ComPWA/tensorwaves-0.4.7.zip
Files
(173.5 kB)
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Additional details
Related works
- Continues
- 10.5281/zenodo.5526650 (DOI)
- References
- 10.5281/zenodo.5526360 (DOI)
- 10.5281/zenodo.5526648 (DOI)
References
- Navarro et al. (2019). "phasespace: n-body phase space generation in Python". https://doi.org/10.21105/joss.01570.
- Pflüger, de Boer et al. (2021). "ComPWA/qrules: Rule-based particle reaction problem solver on a quantum number level". https://doi.org/10.5281/zenodo.5526360.
- Pflüger, de Boer et al. (2021). "ComPWA/ampform: Automatically generate symbolic amplitude models for Partial Wave Analysis". https://doi.org/10.5281/zenodo.5526648.