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pyerrors

Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.

https://github.com/fjosw/pyerrors

Science Score: 77.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ✓
    Committers with academic emails
    4 of 7 committers (57.1%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary

Keywords

autocorrelation autograd automatic-differentiation condensed-matter correlation data-analysis error-propagation lattice-field-theory lattice-gauge-theory lattice-qcd markov-chain monte-carlo particle-physics physics python qcd statistical-analysis statistical-mechanics
Last synced: 6 months ago · JSON representation ·

Repository

Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.

Basic Info
Statistics
  • Stars: 47
  • Watchers: 9
  • Forks: 18
  • Open Issues: 4
  • Releases: 26
Topics
autocorrelation autograd automatic-differentiation condensed-matter correlation data-analysis error-propagation lattice-field-theory lattice-gauge-theory lattice-qcd markov-chain monte-carlo particle-physics physics python qcd statistical-analysis statistical-mechanics
Created over 5 years ago · Last pushed 8 months ago
Metadata Files
Readme Changelog Contributing License Citation Codeowners

README.md

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.

  • Documentation: https://fjosw.github.io/pyerrors/pyerrors.html
  • Examples: https://github.com/fjosw/pyerrors/tree/develop/examples
  • Ask a question: https://github.com/fjosw/pyerrors/discussions/new?category=q-a
  • Changelog: https://github.com/fjosw/pyerrors/blob/develop/CHANGELOG.md
  • Bug reports: https://github.com/fjosw/pyerrors/issues

Installation

Install the most recent release using pip and pypi: bash python -m pip install pyerrors # Fresh install python -m pip install -U 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.

Owner

  • Name: Fabian Joswig
  • Login: fjosw
  • Kind: user
  • Company: DeepL

Research Scientist at DeepL

Citation (CITATION.cff) 

cff-version: 1.2.0
title: "pyerrors"
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Fabian
    family-names: Joswig
    orcid: 'https://orcid.org/0000-0003-0740-6524'
  - given-names: Simon
    family-names: Kuberski
    orcid: 'https://orcid.org/0000-0002-0955-9228'
  - given-names: Justus T.
    family-names: Kuhlmann
    orcid: 'https://orcid.org/0000-0001-5291-1939'
  - given-names: Jan
    family-names: Neuendorf
    orcid: 'https://orcid.org/0000-0001-6177-7014'
repository-code: 'https://github.com/fjosw/pyerrors'
preferred-citation:
  type: article
  authors:
  - given-names: Fabian
    family-names: Joswig
    orcid: 'https://orcid.org/0000-0003-0740-6524'
  - given-names: Simon
    family-names: Kuberski
    orcid: 'https://orcid.org/0000-0002-0955-9228'
  - given-names: Justus T.
    family-names: Kuhlmann
    orcid: 'https://orcid.org/0000-0001-5291-1939'
  - given-names: Jan
    family-names: Neuendorf
    orcid: 'https://orcid.org/0000-0001-6177-7014'
  doi: "10.1016/j.cpc.2023.108750"
  journal: "Computer Physics Communications"
  month: 7
  start: 108750
  title: "pyerrors: A python framework for error analysis of Monte Carlo data"
  volume: 288
  year: 2023

GitHub Events

Total
  • Create event: 12
  • Issues event: 9
  • Release event: 2
  • Watch event: 13
  • Delete event: 5
  • Member event: 1
  • Issue comment event: 33
  • Push event: 69
  • Pull request review event: 25
  • Pull request review comment event: 15
  • Pull request event: 30
  • Fork event: 3
Last Year
  • Create event: 12
  • Issues event: 9
  • Release event: 2
  • Watch event: 13
  • Delete event: 5
  • Member event: 1
  • Issue comment event: 33
  • Push event: 69
  • Pull request review event: 25
  • Pull request review comment event: 15
  • Pull request event: 30
  • Fork event: 3

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 1,275
  • Total Committers: 7
  • Avg Commits per committer: 182.143
  • Development Distribution Score (DDS): 0.172
Past Year
  • Commits: 28
  • Committers: 6
  • Avg Commits per committer: 4.667
  • Development Distribution Score (DDS): 0.429
Top Committers
Name Email Commits
Fabian Joswig f****g@e****k 1,056
Simon Kuberski s****i@u****e 103
jkuhl-uni j****9@u****e 72
JanNeuendorf j****n@g****e 31
ppetrak p****4@u****e 11
nils-ht 1****t 1
Alexander Puck Neuwirth A****y 1
Committer Domains (Top 20 + Academic)
uni-muenster.de: 3 gmx.de: 1 ed.ac.uk: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 34
  • Total pull requests: 158
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 7 days
  • Total issue authors: 10
  • Total pull request authors: 8
  • Average comments per issue: 2.79
  • Average comments per pull request: 1.85
  • Merged pull requests: 149
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 29
  • Average time to close issues: 11 days
  • Average time to close pull requests: 2 days
  • Issue authors: 4
  • Pull request authors: 5
  • Average comments per issue: 3.25
  • Average comments per pull request: 1.14
  • Merged pull requests: 24
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • fjosw (13)
  • s-kuberski (6)
  • jkuhl-uni (6)
  • JanNeuendorf (3)
  • JuanUrrea6 (2)
  • APN-Pucky (1)
  • EhDings (1)
  • j-bode (1)
  • edbennett (1)
  • alexbroll (1)
Pull Request Authors
  • fjosw (96)
  • s-kuberski (37)
  • jkuhl-uni (31)
  • JanNeuendorf (6)
  • PiaLJP (4)
  • APN-Pucky (2)
  • yup790 (1)
  • nils-ht (1)
Top Labels
Issue Labels
bug (11) enhancement (3) documentation (2) help wanted (1)
Pull Request Labels
enhancement (4) bug (4)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 221 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 24
  • Total maintainers: 2
pypi.org: pyerrors

Error propagation and statistical analysis for Monte Carlo simulations

  • Versions: 24
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 221 Last month
Rankings
Dependent packages count: 7.3%
Forks count: 11.0%
Stargazers count: 11.9%
Average: 14.5%
Downloads: 20.4%
Dependent repos count: 22.1%
Maintainers (2)
fjosw s-kuberski
Last synced: 7 months ago

Dependencies

setup.py pypi
  • autograd >=1.5
  • h5py >=3.7
  • iminuit >=2.17
  • lxml >=4.9
  • matplotlib >=3.5
  • numdifftools >=0.9.41
  • numpy >=1.19
  • pandas >=1.1
  • python-rapidjson >=1.9
  • scipy >=1.7
.github/workflows/binder.yml actions
  • jupyterhub/repo2docker-action master composite
.github/workflows/codeql.yml actions
  • actions/checkout v3 composite
  • github/codeql-action/analyze v2 composite
  • github/codeql-action/autobuild v2 composite
  • github/codeql-action/init v2 composite
.github/workflows/docs.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
.github/workflows/examples.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
.github/workflows/flake8.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • py-actions/flake8 v2 composite
.github/workflows/pytest.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite