Mapping the Galactic magnetic field orientation and strength in three dimensions

Author:

Hu Yue12ORCID,Lazarian A23

Affiliation:

1. Department of Physics, University of Wisconsin–Madison , Madison, WI 53706, USA

2. Department of Astronomy, University of Wisconsin–Madison , Madison, WI 53706, USA

3. Centro de Investigación en Astronomía, Universidad Bernardo O’Higgins , General Gana 1760, Santiago 8370993, Chile

Abstract

ABSTRACT The mapping of the Galactic magnetic field (GMF) in three dimensions is essential to comprehend various astrophysical processes that occur within the Milky Way. This study endeavours to map the GMF by utilizing the latest MM2 technique, the velocity gradient technique (VGT), the column density variance approach, and the Galactic Arecibo L-band Feed Array HI survey of neutral hydrogen (H i) emission. The MM2 and VGT methods rely on an advanced understanding of magnetohydrodynamics turbulence to determine the plane-of-the-sky magnetic field strength and orientation, respectively. The H i emission data, combined with the Galactic rotational curve, give us the distribution of H i gas throughout the Milky Way. By combining these two techniques, we map the GMF orientation and strength, as well as the Alfvén Mach number MA in 3D for a low-galactic latitude (b < 30o) region close to the Perseus Arm. The analysis of column density variance gives the sonic Mach number Ms distribution. The results of this study reveal the sub-Alfvénic and subsonic (or trans-sonic) nature of the H i gas. The variation of mean MA along the line of sight approximately ranges from 0.6 to 0.9, while that of mean Ms is from 0.2 to 1.5. The mean magnetic field strength varies from 0.5 to 2.5 µG exhibiting a decreasing trend towards the Galaxy’s outskirt. This work provides a new avenue for mapping the GMF, especially the magnetic field strength, in 3D. We discuss potential synergetic applications with other approaches.

Funder

NASA

ALMA

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Probing three-dimensional magnetic fields: II – an interpretable Convolutional Neural Network;Monthly Notices of the Royal Astronomical Society;2023-12-23

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