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).
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:
@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
Release files for naima 0.10.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| naima-0.10.4.tar.gz | 4.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| naima-0.10.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 MB
Release files / naima-0.10.4.tar.gz
| Download URL | naima-0.10.4.tar.gz |
|---|---|
| Size | 4.6 MB |
| Tags | Source |
|
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Transparency logRelease files / naima-0.10.4-py3-none-any.whl
| Download URL | naima-0.10.4-py3-none-any.whl |
|---|---|
| Size | 4.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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