https://github.com/jrbourbeau/pyunfold

Iterative unfolding for Python
https://github.com/jrbourbeau/pyunfold

data-analysis deconvolution inverse-problems python regularization statistics unfolding

Last synced: 2 months ago
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Iterative unfolding for Python

• Host: GitHub
• URL: https://github.com/jrbourbeau/pyunfold
• Owner: jrbourbeau
• License: mit
• Created: 2018-03-27T16:25:43.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2020-10-17T19:41:22.000Z (about 4 years ago)
• Last Synced: 2024-11-02T04:12:02.529Z (2 months ago)
• Topics: data-analysis, deconvolution, inverse-problems, python, regularization, statistics, unfolding
• Language: Python
• Homepage: https://jrbourbeau.github.io/pyunfold/
• Size: 6.82 MB
• Stars: 26
• Watchers: 5
• Forks: 13
• Open Issues: 13
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE

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README

        
# PyUnfold

[![Build Status](https://travis-ci.org/jrbourbeau/pyunfold.svg?branch=master)](https://travis-ci.org/jrbourbeau/pyunfold)

[![Build status](https://ci.appveyor.com/api/projects/status/wphmmposuctye5ye/branch/master?svg=true)](https://ci.appveyor.com/project/jrbourbeau/pyunfold/branch/master)

[![codecov](https://codecov.io/gh/jrbourbeau/pyunfold/branch/master/graph/badge.svg)](https://codecov.io/gh/jrbourbeau/pyunfold)

[![pypi version](https://img.shields.io/pypi/v/pyunfold.svg 'pypi version')](https://pypi.org/project/PyUnfold/)

[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyunfold.svg)](https://pypi.org/project/PyUnfold/)

[![DOI](http://joss.theoj.org/papers/10.21105/joss.00741/status.svg)](https://doi.org/10.21105/joss.00741)

[![license](https://img.shields.io/pypi/l/pyunfold.svg 'license')](https://github.com/jrbourbeau/pyunfold/blob/master/LICENSE)

PyUnfold is a Python package for implementing iterative unfolding.

## Documentation

The documentation for PyUnfold can be found at https://jrbourbeau.github.io/pyunfold/

## Installation

PyUnfold can be installed using `pip`

```

pip install pyunfold

```

or `conda`

```

conda install -c conda-forge pyunfold

```

For more information see the [installation instructions](https://jrbourbeau.github.io/pyunfold/installation.html) in the [documentation](https://jrbourbeau.github.io/pyunfold/).

## Citation

If you find PyUnfold useful in your work, please consider [citing it](https://jrbourbeau.github.io/pyunfold/citing.html).

## License

[MIT License](LICENSE)

Copyright (c) 2018 James Bourbeau and Zigfried Hampel-Arias