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https://github.com/zblz/naima

Derivation of non-thermal particle distributions through MCMC spectral fitting

https://github.com/zblz/naima

Science Score: 59.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ✓
    Committers with academic emails
    2 of 10 committers (20.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary

Keywords

astronomy astrophysics data-analysis gamma-ray-astronomy python

Keywords from Contributors

astropy closember drizzle vlbi baseband-recording astropy-affiliated photometry source-detection ccd jwst
Last synced: 6 months ago · JSON representation

Repository

Derivation of non-thermal particle distributions through MCMC spectral fitting

Basic Info
  • Host: GitHub
  • Owner: zblz
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage: http://naima.readthedocs.io
  • Size: 14.4 MB
Statistics
  • Stars: 50
  • Watchers: 13
  • Forks: 55
  • Open Issues: 15
  • Releases: 2
Topics
astronomy astrophysics data-analysis gamma-ray-astronomy python
Created over 12 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License

README.rst 

naima
=====

``naima`` is a Python package for computation of non-thermal radiation from
relativistic particle populations. It includes tools to perform MCMC fitting of
radiative models to X-ray, GeV, and TeV spectra using `emcee
`_, an affine-invariant ensemble sampler for Markov
Chain Monte Carlo.

``naima`` is named after a `ballad composed by John Coltrane in 1959
`_ which appeared in the albums
`Giant Steps (1959) `_ and
`Live at the Village Vanguard (1961) `_.

.. image:: http://img.shields.io/pypi/v/naima.svg
	:target: https://pypi.python.org/pypi/naima/
.. image:: http://img.shields.io/badge/license-BSD-green.svg
	:target: https://github.com/zblz/naima/blob/master/LICENSE.rst
.. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg
	:target: http://www.astropy.org
.. image:: http://img.shields.io/badge/arXiv-1509.03319-blue.svg
	:target: http://arxiv.org/abs/1509.03319

Documentation
^^^^^^^^^^^^^

Documentation is at `naima.readthedocs.io
`_.

Attribution
^^^^^^^^^^^

If you find ``naima`` useful in your research, you can cite `Zabalza (2015)
`_ to acknowledge its use. The
BibTeX entry for the paper is:

.. code-block:: bibtex

   @INPROCEEDINGS{2015ICRC...34..922Z,
          author = {{Zabalza}, V.},
           title = {Naima: a Python package for inference of particle distribution properties from nonthermal spectra},
       booktitle = {34th International Cosmic Ray Conference (ICRC2015)},
            year = 2015,
          series = {International Cosmic Ray Conference},
          volume = {34},
           month = jul,
             eid = {922},
           pages = {922},
             doi = {10.22323/1.236.0922},
   archivePrefix = {arXiv},
          eprint = {1509.03319},
          adsurl = {https://ui.adsabs.harvard.edu/abs/2015ICRC...34..922Z},
   }


License
^^^^^^^

Naima is released under a 3-clause BSD style license - see the
`LICENSE.rst `_ file.

Code status
^^^^^^^^^^^

.. image:: https://img.shields.io/github/actions/workflow/status/zblz/naima/tests.yaml?branch=main
        :target: https://github.com/zblz/naima/actions/workflows/tests.yaml
.. image:: https://img.shields.io/badge/benchmarked%20by-asv-green.svg
        :target: http://zblz.github.io/naima-benchmarks

Owner

  • Name: Víctor Zabalza
  • Login: zblz
  • Kind: user

GitHub Events

Total
  • Create event: 7
  • Release event: 2
  • Issues event: 26
  • Watch event: 5
  • Delete event: 7
  • Issue comment event: 5
  • Push event: 27
  • Pull request event: 15
  • Fork event: 2
Last Year
  • Create event: 7
  • Release event: 2
  • Issues event: 26
  • Watch event: 5
  • Delete event: 7
  • Issue comment event: 5
  • Push event: 27
  • Pull request event: 15
  • Fork event: 2

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 908
  • Total Committers: 10
  • Avg Commits per committer: 90.8
  • Development Distribution Score (DDS): 0.122
Past Year
  • Commits: 16
  • Committers: 1
  • Avg Commits per committer: 16.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Víctor Zabalza v****a@g****m 797
Christoph Deil D****h@g****m 37
tialis g****4@h****m 27
Thomas Robitaille t****e@g****m 22
Brigitta Sipocz b****z@g****m 9
Erik Tollerud e****d@g****m 8
Kyle Barbary k****y@g****m 4
Doug Burke d****w@g****m 2
Luigi Tibaldo l****o@s****u 1
Benjamin Alan Weaver b****r@n****u 1
Committer Domains (Top 20 + Academic)
nyu.edu: 1 slac.stanford.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 71
  • Total pull requests: 60
  • Average time to close issues: over 2 years
  • Average time to close pull requests: 7 months
  • Total issue authors: 38
  • Total pull request authors: 7
  • Average comments per issue: 1.35
  • Average comments per pull request: 0.32
  • Merged pull requests: 49
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 7
  • Pull requests: 10
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.1
  • Merged pull requests: 10
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • zblz (9)
  • HealthyPear (6)
  • Jongsu020509 (5)
  • cdeil (4)
  • LL-RL (4)
  • 55hyan (2)
  • VadimRomansky (2)
  • lmohrmann (2)
  • saraloru (2)
  • tibaldo (2)
  • mireianievas (2)
  • pllim (2)
  • nuk34 (2)
  • zhenjieW (2)
  • astrolog1986 (2)
Pull Request Authors
  • zblz (42)
  • bsipocz (10)
  • tibaldo (2)
  • DougBurke (2)
  • cdeil (1)
  • fossabot (1)
Top Labels
Issue Labels
enhancement (9)
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 10,759 last-month
  • Total dependent packages: 1
    (may contain duplicates)
  • Total dependent repositories: 4
    (may contain duplicates)
  • Total versions: 29
  • Total maintainers: 1
pypi.org: naima

Derivation of non-thermal particle distributions through MCMC spectral fitting

  • Versions: 21
  • Dependent Packages: 1
  • Dependent Repositories: 2
  • Downloads: 10,759 Last month
Rankings
Downloads: 4.7%
Dependent packages count: 4.8%
Forks count: 5.8%
Average: 7.5%
Stargazers count: 10.6%
Dependent repos count: 11.5%
Maintainers (1)
vzabalza
Last synced: 6 months ago
conda-forge.org: naima

naima is a Python package for computation of non-thermal radiation from relativistic particle populations. It includes tools to perform MCMC fitting of radiative models to X-ray, GeV, and TeV spectra using emcee, an affine-invariant ensemble sampler for Markov Chain Monte Carlo.

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 2
Rankings
Dependent repos count: 20.3%
Forks count: 25.7%
Average: 35.6%
Stargazers count: 44.7%
Dependent packages count: 51.6%
Last synced: 6 months ago

Dependencies

docs/requirements.txt pypi
  • sphinx *
  • sphinx-astropy *
setup.py pypi
  • astropy >=4.3
  • corner *
  • emcee *
  • h5py *
  • matplotlib *
  • pyyaml *
  • scipy *