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Project description
kafe is a data fitting framework designed for use in undergraduate physics lab courses. It is open-source software licensed under the GNU Public License.
It provides a basic Python toolkit for fitting models to data as well as for visualizing the fit result. It relies on Python packages such as NumPy and matplotlib, and uses the Python interface to the minimizer MINUIT contained in CERN’s data analysis framework ROOT or to iminuit, which is available as a separate Python package.
The software originated as part of a bachelor’s thesis in physics Institut für Experimentelle Kernphysik (IEKP) at the Karlsruhe Insitute of Technology (KIT). Development is currently slow, but ongoing.
Contributors:
Günter Quast <guenter (dot) quast (at) online (dot) de>
Daniel Savoiu <daniel (dot) savoiu (at) cern (dot) ch>
For more information, please consult the HTML documentation in doc/html/index.html or on ReadTheDocs.
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