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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 estimators, 𝝌² regression, Binned 𝝌² estimator and Simultaneous fit estimator. Various functors for manipulating PDFs such as Normalization and Convolution (with caching) and various built-in functions normally used in B physics are also provided.

Strict dependencies

Optional dependencies

Getting started

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)
minuit.migrad()
unbinned_likelihood.draw(minuit)

Documentation and Tutorial

  • 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.

  • Developing probfit: see the development page

License

The package is licensed under the MIT license (open source).

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

5 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for alexpearce from gravatar.com alexpearce Avatar for Christoph.Deil from gravatar.com Christoph.Deil Avatar for hdembins from gravatar.com hdembins
+2 more Avatar for Piti.Ongmongkolkul from gravatar.com Piti.Ongmongkolkul Avatar for scikit-hep from gravatar.com scikit-hep

Credits

Author: Piti Ongmongkolkul

Maintainer: Scikit-HEP

License

MIT License (MIT)

Requires

Python !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, >=2.7

Classifiers

Metadata

Project links

Key dates

PyPI data
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  • Released:
Latest release

5 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for alexpearce from gravatar.com alexpearce Avatar for Christoph.Deil from gravatar.com Christoph.Deil Avatar for hdembins from gravatar.com hdembins
+2 more Avatar for Piti.Ongmongkolkul from gravatar.com Piti.Ongmongkolkul Avatar for scikit-hep from gravatar.com scikit-hep

Credits

Author: Piti Ongmongkolkul

Maintainer: Scikit-HEP

License

MIT License (MIT)

Requires

Python !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, >=2.7

Classifiers

Release files for probfit 1.2.0

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Source distribution for probfit 1.2.0
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probfit-1.2.0.tar.gz 1.5 MB Without provenance Details

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Table of built distributions (wheels) for probfit 1.2.0
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probfit-1.2.0-cp39-cp39-win_amd64.whl 404.2 kB Without provenance CPython 3.9 CPython 3.9 Windows x86-64 Details
probfit-1.2.0-cp39-cp39-win32.whl 343.7 kB Without provenance CPython 3.9 CPython 3.9 Windows x86-32 Details
probfit-1.2.0-cp39-cp39-manylinux1_x86_64.whl 1.7 MB Without provenance CPython 3.9 CPython 3.9 Linux glibc 2.5+ x86-64 Details
probfit-1.2.0-cp39-cp39-manylinux1_i686.whl 1.6 MB Without provenance CPython 3.9 CPython 3.9 Linux glibc 2.5+ x86-32 Details
probfit-1.2.0-cp39-cp39-macosx_10_9_x86_64.whl 445.8 kB Without provenance CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
probfit-1.2.0-cp38-cp38-win_amd64.whl 405.1 kB Without provenance CPython 3.8 CPython 3.8 Windows x86-64 Details
probfit-1.2.0-cp38-cp38-win32.whl 344.5 kB Without provenance CPython 3.8 CPython 3.8 Windows x86-32 Details
probfit-1.2.0-cp38-cp38-manylinux1_x86_64.whl 1.9 MB Without provenance CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-64 Details
probfit-1.2.0-cp38-cp38-manylinux1_i686.whl 1.8 MB Without provenance CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-32 Details
probfit-1.2.0-cp38-cp38-macosx_10_9_x86_64.whl 439.1 kB Without provenance CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details
probfit-1.2.0-cp37-cp37m-win_amd64.whl 393.2 kB Without provenance CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
probfit-1.2.0-cp37-cp37m-win32.whl 335.7 kB Without provenance CPython 3.7 CPython 3.7 pymalloc Windows x86-32 Details
probfit-1.2.0-cp37-cp37m-manylinux1_x86_64.whl 1.8 MB Without provenance CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64 Details
probfit-1.2.0-cp37-cp37m-manylinux1_i686.whl 1.6 MB Without provenance CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-32 Details
probfit-1.2.0-cp37-cp37m-macosx_10_9_x86_64.whl 431.5 kB Without provenance CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 Details
probfit-1.2.0-cp36-cp36m-win_amd64.whl 392.8 kB Without provenance CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details
probfit-1.2.0-cp36-cp36m-win32.whl 335.3 kB Without provenance CPython 3.6 CPython 3.6 pymalloc Windows x86-32 Details
probfit-1.2.0-cp36-cp36m-manylinux1_x86_64.whl 1.8 MB Without provenance CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 Details
probfit-1.2.0-cp36-cp36m-manylinux1_i686.whl 1.7 MB Without provenance CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-32 Details
probfit-1.2.0-cp36-cp36m-macosx_10_9_x86_64.whl 432.8 kB Without provenance CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 Details
probfit-1.2.0-cp35-cp35m-win_amd64.whl 381.8 kB Without provenance CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details
probfit-1.2.0-cp35-cp35m-win32.whl 325.8 kB Without provenance CPython 3.5 CPython 3.5 pymalloc Windows x86-32 Details
probfit-1.2.0-cp35-cp35m-manylinux1_x86_64.whl 1.7 MB Without provenance CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 Details
probfit-1.2.0-cp35-cp35m-manylinux1_i686.whl 1.6 MB Without provenance CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32 Details
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