IMAGINE: modeling the Galactic magnetic field
Astrophysics of Galaxies
2019-03-12 v1
Abstract
The IMAGINE Consortium aims to bring modeling of the magnetic field of the Milky Way to a next level, by using Bayesian inference. IMAGINE includes an open-source modular software pipeline that optimizes parameters in a user-defined Galactic magnetic field model against various selected observational datasets. Bayesian priors can be added as external probabilistic constraints of the model parameters. These conference proceedings describe the science goals of the IMAGINE Consortium, the software pipeline and its inputs, viz observational data sets, Galactic magnetic field models, and Bayesian priors.
Keywords
Cite
@article{arxiv.1903.04401,
title = {IMAGINE: modeling the Galactic magnetic field},
author = {Marijke Haverkorn and François Boulanger and Torsten Enßlin and Jörg R. Hörandel and Tess Jaffe and Jens Jasche and Jörg P. Rachen and Anvar Shukurov},
journal= {arXiv preprint arXiv:1903.04401},
year = {2019}
}
Comments
Accepted to Galaxies Special Issue "The Power of Faraday Tomography", proceedings of workshop of the same name in Miyazaki, Japan, May 2018