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Open AccessArticle

IMAGINE: Modeling the Galactic Magnetic Field

Department of Astrophysics/IMAPP, Radboud University, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands
Laboratoire de Physique de l’Ecole Normale Supérieure, Université PSL and CNRS, 75005 Paris, France
Max Planck Institute for Astrophysics, Karl-Schwarschildstr. 1, 85741 Garching, Germany
Nikhef, Science Park 105, 1098 XG Amsterdam, The Netherlands
CRESST II, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Department of Astronomy, University of Maryland, College Park, MD 20742, USA
The Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova University Centre, SE 106 91 Stockholm, Sweden
School of Mathematics, Statistics and Physics, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
Author to whom correspondence should be addressed.
Galaxies 2019, 7(1), 17;
Received: 5 September 2018 / Revised: 7 December 2018 / Accepted: 17 December 2018 / Published: 14 January 2019
(This article belongs to the Special Issue The Power of Faraday Tomography)
The IMAGINE Consortium aims to bring modeling of the magnetic field of the Milky Way to the 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, namely observational data sets, galactic magnetic field models, and Bayesian priors. View Full-Text
Keywords: galactic magnetic fields; interstellar medium; theory of cosmic magnetism; cosmic rays galactic magnetic fields; interstellar medium; theory of cosmic magnetism; cosmic rays
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Haverkorn, M.; Boulanger, F.; Enßlin, T.; Hörandel, J.R.; Jaffe, T.; Jasche, J.; Rachen, J.P.; Shukurov, A. IMAGINE: Modeling the Galactic Magnetic Field. Galaxies 2019, 7, 17.

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