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cff-version: 1.2.0
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cff-version: 1.2.0
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title: >-
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title: "pyerrors"
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pyerrors: a python framework for error analysis of
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Monte Carlo data
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message: >-
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message: >-
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If you use this software, please cite it using the
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If you use this software, please cite it using the
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metadata from this file.
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metadata from this file.
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@ -19,7 +17,26 @@ authors:
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- given-names: Jan
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- given-names: Jan
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family-names: Neuendorf
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family-names: Neuendorf
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orcid: 'https://orcid.org/0000-0001-6177-7014'
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orcid: 'https://orcid.org/0000-0001-6177-7014'
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identifiers:
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- type: doi
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value: 10.48550/arXiv.2209.14371
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repository-code: 'https://github.com/fjosw/pyerrors'
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repository-code: 'https://github.com/fjosw/pyerrors'
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preferred-citation:
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type: article
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authors:
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- given-names: Fabian
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family-names: Joswig
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orcid: 'https://orcid.org/0000-0003-0740-6524'
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- given-names: Simon
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family-names: Kuberski
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orcid: 'https://orcid.org/0000-0002-0955-9228'
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- given-names: Justus T.
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family-names: Kuhlmann
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orcid: 'https://orcid.org/0000-0001-5291-1939'
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- given-names: Jan
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family-names: Neuendorf
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orcid: 'https://orcid.org/0000-0001-6177-7014'
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doi: "10.1016/j.cpc.2023.108750"
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journal: "Computer Physics Communications"
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month: 7
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start: 108750
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title: "pyerrors: A python framework for error analysis of Monte Carlo data"
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volume: 288
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year: 2023
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@ -11,7 +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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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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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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- 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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- 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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- Alberto Ramos, *Automatic differentiation for error analysis of Monte Carlo data*. Comput.Phys.Commun. 238 (2019) 19-35.
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