A Python library to analyse data generated from (Monte Carlo) Markov chains.

• Website: https://mbruno46.github.io/pyobs/
• Documentation: https://mbruno46.github.io/pyobs/
• Examples: tests, tutorials
• Source code: https://github.com/mbruno46/pyobs/
• Bug reports: https://github.com/mbruno46/pyobs/issues

If you use this library in your publications cite it with (BibTeX)

@software{mattia_bruno_2023_7546851,
  author       = {Mattia Bruno},
  title        = {pyobs},
  month        = jan,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {v1.4.1},
  doi          = {10.5281/zenodo.7546851},
  url          = {https://doi.org/10.5281/zenodo.7546851}
}

For citations in other formats plaese take a look at Zenodo.

Please also consider citing:

• M. Bruno, R. Sommer, On fits to correlated and auto-correlated data Comput.Phys.Commun. 285 (2023) 108643.
• S. Schaefer, R. Sommer, F. Virotta, Critical slowing down and error analysis in lattice QCD simulations. Nucl.Phys.B 845 (2011) 93-119.
• U. Wolff, Monte Carlo errors with less errors. Comput.Phys.Commun. 156 (2004) 143-153.

Authors

Copyright (C) 2020-2024, Mattia Bruno

Installation

Examples