Cost function builder. For fitting distributions.
Jupyter Notebook Python Other
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Latest commit 24e19f0 Nov 11, 2016



probfit is a set of functions that helps you construct a complex fit. It's intended to be used with iminuit. The tool includes Binned/Unbinned Likelihood estimator, \chi^2 regression, Binned \chi^2 estimator and Simultaneous fit estimator. Various functors for manipulating PDF such as Normalization and Convolution(with caching) and various builtin functions normally used in B physics is also provided.

import numpy as np
from iminuit import Minuit
from probfit import UnbinnedLH, gaussian
data = np.random.randn(10000)
unbinned_likelihood = UnbinnedLH(gaussian, data)
minuit = Minuit(unbinned_likelihood, mean=0.1, sigma=1.1)
  • MIT license (open source)
  • Documentation
  • The tutorial is an IPython notebook that you can view online here. To run it locally: cd tutorial; ipython notebook --pylab=inline tutorial.ipynb.
  • Dependencies:
  • Developing probfit: see the development page