The Three-Dimensional Structure of the M31 Satellite System; Strong Evidence for an Inhomogeneous Distribution of Satellites
Anthony R. Conn, Geraint F. Lewis, Rodrigo A. Ibata, Quentin A., Parker, Daniel B. Zucker, Alan W. McConnachie, Nicolas F. Martin, David, Valls-Gabaud, Nial Tanvir, Michael J. Irwin, Annette M. N. Ferguson, Scott C., Chapman

TL;DR
This study analyzes the three-dimensional spatial distribution of M31's satellite galaxies, revealing a significant, thin, and nearly edge-on satellite disk, along with notable asymmetry, challenging expectations of random satellite arrangements.
Contribution
It provides the first detailed analysis of the 3D structure of M31's satellite system, identifying a significant thin disk and asymmetry, and compares these features to the Milky Way's satellite distribution.
Findings
A highly significant, thin satellite disk with RMS thickness ~12.34 kpc.
The satellite distribution is more asymmetric than expected from randomness.
20 of 27 satellites are on the Milky Way side, indicating lopsidedness.
Abstract
We undertake an investigation into the spatial structure of the M31 satellite system utilizing the distance distributions presented in a previous publication. These distances make use of the unique combination of depth and spatial coverage of the Pan-Andromeda Archaeological Survey (PAndAS) to provide a large, homogeneous sample consisting of 27 of M31's satellites, as well as M31 itself. We find that the satellite distribution, when viewed as a whole, is no more planar than one would expect from a random distribution of equal size. A disk consisting of 15 of the satellites is however found to be highly significant, and strikingly thin, with a root-mean-square thickness of just kpc. This disk is oriented approximately edge on with respect to the Milky Way and almost perpendicular to the Milky Way disk. It is also roughly orthogonal to the disk like structure…
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.
