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26 lines
2.1 KiB
Markdown
26 lines
2.1 KiB
Markdown
[](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://arxiv.org/abs/2209.14371) [](https://doi.org/10.1016/j.cpc.2023.108750)
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# pyerrors
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`pyerrors` is a python framework for error computation and propagation of Markov chain Monte Carlo data from lattice field theory and statistical mechanics simulations.
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- **Documentation:** https://fjosw.github.io/pyerrors/pyerrors.html
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- **Examples:** https://github.com/fjosw/pyerrors/tree/develop/examples
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- **Ask a question:** https://github.com/fjosw/pyerrors/discussions/new?category=q-a
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- **Changelog:** https://github.com/fjosw/pyerrors/blob/develop/CHANGELOG.md
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- **Bug reports:** https://github.com/fjosw/pyerrors/issues
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## Installation
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Install the most recent release using pip and [pypi](https://pypi.org/project/pyerrors/):
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```bash
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python -m pip install pyerrors # Fresh install
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python -m pip install -U pyerrors # Update
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```
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## Contributing
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We appreciate all contributions to the code, the documentation and the examples. If you want to get involved please have a look at our [contribution guideline](https://github.com/fjosw/pyerrors/blob/develop/CONTRIBUTING.md).
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## Citing pyerrors
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If you use `pyerrors` for research that leads to a publication we suggest citing the following papers:
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- Fabian Joswig, Simon Kuberski, Justus T. Kuhlmann, Jan Neuendorf, *pyerrors: a python framework for error analysis of Monte Carlo data*. Comput.Phys.Commun. 288 (2023) 108750.
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- Ulli Wolff, *Monte Carlo errors with less errors*. Comput.Phys.Commun. 156 (2004) 143-153, Comput.Phys.Commun. 176 (2007) 383 (erratum).
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- Alberto Ramos, *Automatic differentiation for error analysis of Monte Carlo data*. Comput.Phys.Commun. 238 (2019) 19-35.
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- Stefan Schaefer, Rainer Sommer, Francesco Virotta, *Critical slowing down and error analysis in lattice QCD simulations*. Nucl.Phys.B 845 (2011) 93-119.
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