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Derivation of non-thermal particle distributions through MCMC spectral fitting

Project description

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).

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Documentation

Documentation is at naima.readthedocs.org.

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:

@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

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Project details


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