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docs: arXiv reference added.
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[](https://github.com/fjosw/pyerrors/actions/workflows/flake8.yml) [](https://github.com/fjosw/pyerrors/actions/workflows/pytest.yml) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT)
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[](https://github.com/fjosw/pyerrors/actions/workflows/flake8.yml) [](https://github.com/fjosw/pyerrors/actions/workflows/pytest.yml) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://arxiv.org/abs/2209.14371)
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# pyerrors
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`pyerrors` is a python package for error computation and propagation of Markov chain Monte Carlo data.
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@ -11,6 +11,7 @@ It is based on the gamma method [arXiv:hep-lat/0306017](https://arxiv.org/abs/he
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More detailed examples can found in the [GitHub repository](https://github.com/fjosw/pyerrors/tree/develop/examples) [](https://mybinder.org/v2/gh/fjosw/pyerrors/HEAD?labpath=examples).
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If you use `pyerrors` for research that leads to a publication please consider citing:
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Fabian Joswig, Simon Kuberski, Justus T. Kuhlmann, Jan Neuendorf, *pyerrors: a python framework for error analysis of Monte Carlo data*. [arXiv:2209.14371 [hep-lat]].
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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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