Polarised emission from aligned dust grains in nearby galaxies: predictions from the Auriga simulations
Bert Vandenbroucke, Maarten Baes, Peter Camps, Anand Utsav, Kapoor, Daniela Barrientos, Jean-Philippe Bernard

TL;DR
This study predicts the far-infrared polarisation signal from dust grains in nearby galaxies using Auriga simulations, showing it effectively traces large-scale magnetic fields with specific polarisation fractions and resolution requirements.
Contribution
It introduces a novel method to predict dust polarisation signals in galaxies based on simulations and a dust model constrained by Milky Way observations.
Findings
Maximum polarisation fraction of 10-15% in face-on galaxies.
Polarisation fraction decreases with line of sight density.
Magnetic field orientation can be traced in low-density regions.
Abstract
(Aims) In this work, we predict the far-infrared polarisation signal emitted by non-spherical dust grains in nearby galaxies. We determine the angular resolution and sensitivity required to study the magnetic field configuration in these galaxies. (Methods) We post-process a set of Milky Way like galaxies from the Auriga project, assuming a dust mix consisting of spheroidal dust grains that are partially aligned with the model magnetic field. We constrain our dust model using Planck 353 GHz observations of the Milky Way. This model is then extrapolated to shorter wavelengths that cover the peak of interstellar dust emission and to observations of arbitrarily oriented nearby Milky Way like galaxies. (Results) Assuming an intrinsic linear polarisation fraction that does not vary significantly with wavelength for wavelengths longer than 50 micron, we predict a linear polarisation fraction…
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