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Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
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Justus Kuhlmann 0ef8649031
 Feat/read sfcf multi (#210) 
* make template

* read_sfcf_multi running with compact format

* fix append mode, norrmal tests work

* improve readability

* add simple test for multi_read

* simple multi_test works

* add first method to check sfcf param hashes

* add docstring

* simple test for o format working

* use benedict to make loops easier

* introduce python-benedict as dep

* no nice_out, less error prone, found bug in tests

* Revert "introduce python-benedict as dep"

This reverts commit 9696d68b7a.

* Revert "use benedict to make loops easier"

This reverts commit fa3987479b.

* no nice output after reverts

* [build] Added jkuhl-uni as CODEOWNER for sfcf.

* refactor: flatten internal dicts

* very small test extension

* ...flake8

* docu

* Delete second sep init

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Co-authored-by: Fabian Joswig <fabian.joswig@uni-muenster.de>
2023-10-20 19:22:55 +02:00
.github Feat/read sfcf multi (#210) 2023-10-20 19:22:55 +02:00
examples docs: example 5 validation updated. 2023-07-20 12:20:06 +01:00
pyerrors Feat/read sfcf multi (#210) 2023-10-20 19:22:55 +02:00
tests Feat/read sfcf multi (#210) 2023-10-20 19:22:55 +02:00
.gitignore build: .hypothesis added to gitignore. 2023-03-17 17:56:40 +00:00
CHANGELOG.md docs: CHANGELOG updated. 2023-07-20 11:41:10 +01:00
CITATION.cff docs: citation file corrected. 2023-04-29 10:59:45 +01:00
conftest.py tests: conftest.py added 2022-01-20 13:56:56 +00:00
CONTRIBUTING.md docs: Contributing guidelines clarified. 2023-07-10 16:11:25 +01:00
LICENSE Initial public release 2020-10-13 16:53:00 +02:00
pyproject.toml build: pyproject.toml added. 2022-08-01 16:43:19 +01:00
README.md docs: ask a question added to README. 2023-07-17 10:19:20 +01:00
setup.py build: flake8 added to test build option in setup.py. 2023-07-10 16:06:55 +01:00

README.md

pytest License: MIT arXiv DOI

pyerrors

pyerrors is a python framework for error computation and propagation of Markov chain Monte Carlo data from lattice field theory and statistical mechanics simulations.

Installation

Install the most recent release using pip and pypi:

python -m pip install pyerrors     # Fresh install
python -m pip install -U pyerrors  # Update

Install the most recent release using conda and conda-forge:

conda install -c conda-forge pyerrors  # Fresh install
conda update -c conda-forge pyerrors   # Update

Contributing

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.

Citing pyerrors

If you use pyerrors for research that leads to a publication we suggest citing the following papers:

  • 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.
  • Ulli Wolff, Monte Carlo errors with less errors. Comput.Phys.Commun. 156 (2004) 143-153, Comput.Phys.Commun. 176 (2007) 383 (erratum).
  • Alberto Ramos, Automatic differentiation for error analysis of Monte Carlo data. Comput.Phys.Commun. 238 (2019) 19-35.
  • Stefan Schaefer, Rainer Sommer, Francesco Virotta, Critical slowing down and error analysis in lattice QCD simulations. Nucl.Phys.B 845 (2011) 93-119.