Papers › pyerrors: a python framework for error analysis of Monte Carlo data

pyerrors: a python framework for error analysis of Monte Carlo data

28 Sep 2022arXiv:2209.14371links table onlyarchive 2025-07-28

Fabian Joswig, Simon Kuberski, Justus T. Kuhlmann, Jan Neuendorf

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We present the pyerrors python package for statistical error analysis of Monte Carlo data. Linear error propagation using automatic differentiation in an object oriented framework is combined with the Γ-method for a reliable estimation of autocorrelation times. Data from different sources can easily be combined, keeping the information on the origin of error components intact throughout the analysis. pyerrors can be smoothly integrated into the existing scientific python ecosystem which allows for efficient and compact analyses.

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