2019
DOI: 10.3847/1538-4357/ab3664
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Radiative Transfer with POLARIS. II. Modeling of Synthetic Galactic Synchrotron Observations

Abstract: We present an updated version of POLARIS, a well established code designated for dust polarisation and line radiative transfer (RT) in arbitrary astrophysical environments. We extend the already available capabilities with a synchrotron feature for polarised emission. Here, we combine state-ofthe-art solutions of the synchrotron RT coefficients with numerical methods for solving the complete system of equations of the RT problem, including Faraday rotation (FR) as well as Faraday conversion (FC). We validate t… Show more

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Cited by 37 publications
(62 citation statements)
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References 124 publications
(199 reference statements)
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“…Observational tracers such as dust and synchrotron emission are highly sensitive to the local conditions (Reissl et al 2019). For the purpose of the follow-up radiative transfer postprocessing we manually added three additional bubbles driven by clustered supernovae chosen to be roughly at solar distances from the Galactic center, each associated with a spiral arm.…”
Section: The Simulation Setupmentioning
confidence: 99%
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“…Observational tracers such as dust and synchrotron emission are highly sensitive to the local conditions (Reissl et al 2019). For the purpose of the follow-up radiative transfer postprocessing we manually added three additional bubbles driven by clustered supernovae chosen to be roughly at solar distances from the Galactic center, each associated with a spiral arm.…”
Section: The Simulation Setupmentioning
confidence: 99%
“…The RT simulations are performed with the RT code Polaris 2 (Reissl et al 2016). The advantage of Polaris is that it unites the physics of dust emission (Reissl et al 2016(Reissl et al , 2018, line transfer including the Zeeman effect (Brauer et al 2017a,b), and synchrotron emission (Reissl et al 2019) under a common framework. Furthermore, the code allows one to perform RT simulations on a Voronoi grid.…”
Section: Radiative Transfer Post-processingmentioning
confidence: 99%
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