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On the recordRead 11 Oct 202620 facts
PyUnfold
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PyUnfold
Free
Open-source Python package · MIT license
Read 11 Oct 2026 · github.com
On the record
- Bayesian analysis
- Yesjrbourbeau.github.io · read 23 Sep 2026
- Convergence
- Users can adjust the test statistic criterion used to compare successive unfolded distributions and determine convergence.jrbourbeau.github.io · read 11 Oct 2026
- Custom priors
- Users can supply custom initial prior distributions.jrbourbeau.github.io · read 11 Oct 2026
- Deployment
- desktopjrbourbeau.github.io · read 23 Sep 2026
- Examples
- The documentation includes notebooks for a basic API tutorial, custom priors, spline regularization, and multivariate unfolding, which can be launched with Binder.jrbourbeau.github.io · read 11 Oct 2026
- Installation requirement
- The installation page lists Python >= 2.7 or >= 3.4 as a dependency requirement.jrbourbeau.github.io · read 11 Oct 2026
- Integrations
- The documented scientific computing dependencies are NumPy, SciPy, pandas, and six; the package can be installed with pip or conda.jrbourbeau.github.io · read 11 Oct 2026
- Intended users
- The package is designed for members of scientific disciplines and for first-time users as well as experimental analyses.jrbourbeau.github.io · read 11 Oct 2026
- License
- The public GitHub repository identifies PyUnfold as MIT licensed.github.com · read 11 Oct 2026
- Method
- Its iterative unfolding method uses Bayes’ theorem and provides uncertainty estimates that account for statistical and systematic errors.jrbourbeau.github.io · read 11 Oct 2026
- Multidimensional analysis
- PyUnfold supports multidimensional unfolding.jrbourbeau.github.io · read 11 Oct 2026
- Purpose
- PyUnfold is a Python package for iterative unfolding, a deconvolution method used to estimate true distributions from measured data.jrbourbeau.github.io · read 11 Oct 2026
- Regression models
- Nojrbourbeau.github.io · read 23 Sep 2026
- Regularization
- Optional regularization uses tunable univariate splines to smooth unfolded distributions.jrbourbeau.github.io · read 11 Oct 2026
- Release
- PyPI lists version 0.5.0, released November 19, 2018, as the latest version.pypi.org · read 11 Oct 2026
- Research use
- The project says PyUnfold has been used for cosmic-ray energy spectrum measurement at HAWC and cosmic-ray composition analysis using IceCube.jrbourbeau.github.io · read 11 Oct 2026
- Scripting support
- Yesjrbourbeau.github.io · read 23 Sep 2026
- Statistical tests
- Yesjrbourbeau.github.io · read 23 Sep 2026
