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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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Fabian Joswig f1150f09c8
Matmul overloaded for correlator class. (#199) 
* feat: matmul method added to correlator class.

* feat: corr, corr matmul and correlator matrix trace added.

* tests: tests for matmul and trace added.

* tests: slightly reduced tolerance and good guess bad guess test.

* feat: rmatmul added and __array_priority__ set.

* tests: additional tests for rmatmul added.

* tests: one more tests for rmatmul added.

* docs: docstring added to Corr.trace.

* tests: associative property test added for complex Corr matmul.

* fix: Corr.roll method now also works for correlator matrices by
explicitly specifying the axis.

Co-authored-by: Matteo Di Carlo <matteo.dicarlo93@gmail.com>

* feat: exception type for correlator trace of 1dim correlator changed.

* tests: trace N=1 exception tested.

---------

Co-authored-by: Matteo Di Carlo <matteo.dicarlo93@gmail.com>
2023-07-17 11:48:57 +01:00
.github ci: mac-os python version fixed. 2023-06-02 16:17:28 +01:00
examples docs: version guard added to combined fit example. 2023-03-09 13:38:51 +00:00
pyerrors Matmul overloaded for correlator class. (#199) 2023-07-17 11:48:57 +01:00
tests Matmul overloaded for correlator class. (#199) 2023-07-17 11:48:57 +01:00
.gitignore build: .hypothesis added to gitignore. 2023-03-17 17:56:40 +00:00
CHANGELOG.md build: version bumped to 2.8.2, CHANGELOG updated. 2023-06-02 15:06:39 +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.