https://github.com/zblz/naima
Derivation of non-thermal particle distributions through MCMC spectral fitting
https://github.com/zblz/naima
astronomy astrophysics data-analysis gamma-ray-astronomy python
Last synced: 23 days ago
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Derivation of non-thermal particle distributions through MCMC spectral fitting
- Host: GitHub
- URL: https://github.com/zblz/naima
- Owner: zblz
- License: bsd-3-clause
- Created: 2013-07-12T11:22:10.000Z (almost 12 years ago)
- Default Branch: main
- Last Pushed: 2025-01-18T21:52:38.000Z (4 months ago)
- Last Synced: 2025-04-04T07:03:01.425Z (about 1 month ago)
- Topics: astronomy, astrophysics, data-analysis, gamma-ray-astronomy, python
- Language: Python
- Homepage: http://naima.readthedocs.io
- Size: 14.4 MB
- Stars: 48
- Watchers: 12
- Forks: 54
- Open Issues: 9
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES.rst
- License: LICENSE.rst
Awesome Lists containing this project
README
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/1509.03319Documentation
^^^^^^^^^^^^^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
@ARTICLE{naima,
author = {{Zabalza}, V.},
title = {naima: a Python package for inference of relativistic particle
energy distributions from observed nonthermal spectra},
year = 2015,
journal = {Proc.~of International Cosmic Ray Conference 2015},
pages = "922",
eprint = {1509.03319},
adsurl = {http://adsabs.harvard.edu/abs/2015arXiv150903319Z},
}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