Planck intermediate results. XXXIII. Signature of the magnetic field geometry of interstellar filaments in dust polarization maps
Planck Collaboration: P. A. R. Ade, N. Aghanim, M. I. R. Alves, M., Arnaud, D. Arzoumanian, J. Aumont, C. Baccigalupi, A. J. Banday, R. B., Barreiro, N. Bartolo, E. Battaner, K. Benabed, A. Benoit-L\'evy, J.-P., Bernard, O. Bern\'e, M. Bersanelli, P. Bielewicz, A. Bonaldi

TL;DR
This study uses Planck 353GHz dust polarization maps to analyze the magnetic field structure of interstellar filaments, revealing coherent magnetic orientations and variations in polarization that inform on the 3D magnetic field geometry within filaments.
Contribution
First fully-sampled dust polarization maps of interstellar filaments are used to distinguish filament and background magnetic field orientations, providing new insights into their 3D magnetic structure.
Findings
Filaments have coherent polarization angles along their lengths.
Differences in polarization angles between filaments and backgrounds are significant.
Polarization fraction decreases with increasing column density, partly due to 3D magnetic field structure.
Abstract
Planck observations at 353GHz provide the first fully-sampled maps of the polarized dust emission towards interstellar filaments and their backgrounds. The polarization data provide insight on the structure of their magnetic field (B). We present the polarization maps of three nearby star forming filament of moderate column density (NH~10^22cm^-2): Musca, B211, and L1506. We use the spatial information to separate Stokes I, Q, and U of the filaments from those of their backgrounds, an essential step to measure the intrinsic polarization fraction (p) and angle (psi) of each emission component. We find that the polarization angles in the three filaments (psi_fil) are coherent along their lengths and not the same as in their backgrounds (psi_bg). The differences between psi_fil and psi_bg are 12deg, 6deg, and 54deg for Musca, B211, and L1506, respectively. These differences for Musca and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
