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IMAGINE: Modeling the galactic magnetic field

Lookup NU author(s): Professor Anvar ShukurovORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

© 2019 by the authors. 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.

Publication metadata

Author(s): Haverkorn M, Boulanger F, Ensslin T, Horandel JR, Jaffe T, Jasche J, Rachen JP, Shukurov A

Publication type: Article

Publication status: Published

Journal: Galaxies

Year: 2019

Volume: 7

Issue: 1

Online publication date: 14/01/2019

Acceptance date: 17/12/2018

Date deposited: 11/02/2019

ISSN (electronic): 2075-4434

Publisher: MDPI AG

URL: https://doi.org/10.3390/galaxies7010017

DOI: 10.3390/galaxies7010017

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