Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published December 20, 2019 | Submitted + Published
Journal Article Open

An Imprint of the Galactic Magnetic Field in the Diffuse Unpolarized Dust Emission

Abstract

It is well known that aligned, aspherical dust grains emit polarized radiation and that the degree of polarization depends on the angle ψ between the interstellar magnetic field and the line of sight (LOS). However, anisotropy of the dust absorption cross sections also modulates the total intensity of the radiation as the viewing geometry changes. We report a detection of this effect in the high Galactic latitude Planck data, finding that the 353 GHz dust intensity per N_(H I) is smaller when the Galactic magnetic field is mostly in the plane of the sky and larger when the field is mostly along the LOS. These variations are of opposite sign and roughly equal magnitude as the changes in polarized intensity per N_(H I) with ψ, as predicted. In principle, the variation in intensity can be used in conjunction with the dust polarization angle to constrain the full 3D orientation of the Galactic magnetic field.

Additional Information

© 2019 The American Astronomical Society. Received 2019 September 14; revised 2019 October 23; accepted 2019 October 24; published 2019 December 17. It is a pleasure to thank François Boulanger, Susan Clark, Bruce Draine, Laura Fissel, and Vincent Guillet for stimulating discussions and helpful suggestions. This research was carried out in part at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Facilities: Effelsberg - Effelsberg Radio Telescope, Parkes - Parkes Radio Telescope, Planck - European Space Agency's Planck space observatory. Software: Astropy (Astropy Collaboration et al. 2013, 2018), corner (Foreman-Mackey 2016), emcee (Foreman-Mackey et al. 2013), HEALPix (Górski et al. 2005), healpy (Zonca et al. 2019), Matplotlib (Hunter 2007), NumPy (van der Walt et al. 2011).

Attached Files

Published - Hensley_2019_ApJ_887_159.pdf

Submitted - 1909.07394.pdf

Files

1909.07394.pdf
Files (4.6 MB)
Name Size Download all
md5:d7473d1c393152ca2d7e240c8dab2ccf
3.1 MB Preview Download
md5:2eab90f4c4fe90b5d567129af6effc85
1.5 MB Preview Download

Additional details

Created:
August 22, 2023
Modified:
October 18, 2023