Naima: a Python package for inference of particle distribution properties from nonthermal spectra
Abstract
The ultimate goal of the observation of nonthermal emission from astrophysical sources is to understand the underlying particle acceleration and evolution processes, and few tools are publicly available to infer the particle distribution properties from the observed photon spectra from Xray to VHE gamma rays. Here I present naima, an open source Python package that provides models for nonthermal radiative emission from homogeneous distribution of relativistic electrons and protons. Contributions from synchrotron, inverse Compton, nonthermal bremsstrahlung, and neutralpion decay can be computed for a series of functional shapes of the particle energy distributions, with the possibility of using userdefined particle distribution functions. In addition, naima provides a set of functions that allow to use these models to fit observed nonthermal spectra through an MCMC procedure, obtaining probability distribution functions for the particle distribution parameters. Here I present the models and methods available in naima and an example of their application to the understanding of a galactic nonthermal source. naima's documentation, including how to install the package, is available at http://naima.readthedocs.org.
 Publication:

34th International Cosmic Ray Conference (ICRC2015)
 Pub Date:
 July 2015
 arXiv:
 arXiv:1509.03319
 Bibcode:
 2015ICRC...34..922Z
 Keywords:

 Astrophysics  High Energy Astrophysical Phenomena
 EPrint:
 In Proceedings of the 34th International Cosmic Ray Conference (ICRC2015), The Hague, The Netherlands. Documentation for the package is available at http://naima.readthedocs.org