{"id":15577925,"url":"https://github.com/zblz/naima","last_synced_at":"2025-04-13T02:26:04.822Z","repository":{"id":9479973,"uuid":"11367146","full_name":"zblz/naima","owner":"zblz","description":"Derivation of non-thermal particle distributions through MCMC spectral fitting","archived":false,"fork":false,"pushed_at":"2025-01-18T21:52:38.000Z","size":15148,"stargazers_count":48,"open_issues_count":9,"forks_count":54,"subscribers_count":12,"default_branch":"main","last_synced_at":"2025-04-04T07:03:01.425Z","etag":null,"topics":["astronomy","astrophysics","data-analysis","gamma-ray-astronomy","python"],"latest_commit_sha":null,"homepage":"http://naima.readthedocs.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zblz.png","metadata":{"files":{"readme":"README.rst","changelog":"CHANGES.rst","contributing":null,"funding":null,"license":"LICENSE.rst","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2013-07-12T11:22:10.000Z","updated_at":"2025-02-24T15:00:59.000Z","dependencies_parsed_at":"2022-09-24T03:51:38.641Z","dependency_job_id":"a6ad3007-7ebd-4a8d-8cc7-392bdcffcf04","html_url":"https://github.com/zblz/naima","commit_stats":{"total_commits":892,"total_committers":10,"mean_commits":89.2,"dds":"0.12443946188340804","last_synced_commit":"af88ba05b01bb763bdda5f1aa50ab8632fe4bec6"},"previous_names":[],"tags_count":19,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zblz%2Fnaima","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zblz%2Fnaima/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zblz%2Fnaima/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zblz%2Fnaima/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zblz","download_url":"https://codeload.github.com/zblz/naima/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248655761,"owners_count":21140565,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["astronomy","astrophysics","data-analysis","gamma-ray-astronomy","python"],"created_at":"2024-10-02T19:02:36.210Z","updated_at":"2025-04-13T02:26:04.795Z","avatar_url":"https://github.com/zblz.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"naima\n=====\n\n``naima`` is a Python package for computation of non-thermal radiation from\nrelativistic particle populations. It includes tools to perform MCMC fitting of\nradiative models to X-ray, GeV, and TeV spectra using `emcee\n\u003chttp://dan.iel.fm/emcee\u003e`_, an affine-invariant ensemble sampler for Markov\nChain Monte Carlo.\n\n``naima`` is named after a `ballad composed by John Coltrane in 1959\n\u003chttps://en.wikipedia.org/wiki/Naima\u003e`_ which appeared in the albums\n`Giant Steps (1959) \u003chttps://www.youtube.com/watch?v=QTMqes6HDqU\u003e`_ and\n`Live at the Village Vanguard (1961) \u003chttps://www.youtube.com/watch?v=Tq3-99vbFt8\u003e`_.\n\n.. image:: http://img.shields.io/pypi/v/naima.svg\n\t:target: https://pypi.python.org/pypi/naima/\n.. image:: http://img.shields.io/badge/license-BSD-green.svg\n\t:target: https://github.com/zblz/naima/blob/master/LICENSE.rst\n.. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg\n\t:target: http://www.astropy.org\n.. image:: http://img.shields.io/badge/arXiv-1509.03319-blue.svg\n\t:target: http://arxiv.org/abs/1509.03319\n\nDocumentation\n^^^^^^^^^^^^^\n\nDocumentation is at `naima.readthedocs.io\n\u003chttp://naima.readthedocs.io\u003e`_.\n\nAttribution\n^^^^^^^^^^^\n\nIf you find ``naima`` useful in your research, you can cite `Zabalza (2015)\n\u003chttp://arxiv.org/abs/1509.03319\u003e`_ to acknowledge its use. The BibTeX entry for\nthe paper is:\n\n.. code-block:: bibtex\n\n    @ARTICLE{naima,\n       author = {{Zabalza}, V.},\n        title = {naima: a Python package for inference of relativistic particle\n                 energy distributions from observed nonthermal spectra},\n         year = 2015,\n      journal = {Proc.~of International Cosmic Ray Conference 2015},\n        pages = \"922\",\n       eprint = {1509.03319},\n       adsurl = {http://adsabs.harvard.edu/abs/2015arXiv150903319Z},\n    }\n\nLicense\n^^^^^^^\n\nNaima is released under a 3-clause BSD style license - see the\n`LICENSE.rst \u003chttps://github.com/zblz/naima/blob/master/LICENSE.rst\u003e`_ file.\n\nCode status\n^^^^^^^^^^^\n\n.. image:: https://img.shields.io/github/actions/workflow/status/zblz/naima/tests.yaml?branch=main\n        :target: https://github.com/zblz/naima/actions/workflows/tests.yaml\n.. image:: https://img.shields.io/badge/benchmarked%20by-asv-green.svg\n        :target: http://zblz.github.io/naima-benchmarks\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzblz%2Fnaima","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzblz%2Fnaima","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzblz%2Fnaima/lists"}