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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 1184a0fe76
t0 extractions for new Hadrons module (#171) 
* feat: first version of read flow observables for new hadrons module.

* feat: refactored t0 fit in seperate function and added extract_t0_hd5 to
hadrons submodule.
2023-04-25 08:25:33 +01:00
.github build: bug report default title changed again. 2023-03-11 21:38:29 +00:00
examples docs: version guard added to combined fit example. 2023-03-09 13:38:51 +00:00
pyerrors t0 extractions for new Hadrons module (#171) 2023-04-25 08:25:33 +01:00
tests Feat/str format (#170) 2023-04-20 17:31:37 +01:00
.gitignore build: .hypothesis added to gitignore. 2023-03-17 17:56:40 +00:00
CHANGELOG.md docs: CHANGELOG updated. 2023-03-21 10:28:15 +01:00
CITATION.cff docs: CHANGELOG and CITATION file updated. 2022-10-13 12:08:54 +01:00
conftest.py tests: conftest.py added 2022-01-20 13:56:56 +00:00
CONTRIBUTING.md docs: CONTRIBUTING.md extended. 2023-03-10 14:37:50 +00:00
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: DOI badge corrected. 2023-04-14 15:41:29 +01:00
setup.py build: minimal numpy version bumped to 1.21 as 1.20 runs out of support 2023-01-23 16:23:09 +00:00

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:

pip install pyerrors     # Fresh install
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.