Dark Matter reconstruction from stellar orbits in the Galactic Centre
Thibault Lechien, Gernot Hei{\ss}el, Jai Grover, Dario Izzo

TL;DR
This paper introduces a flexible, model-agnostic method to reconstruct the distribution of dark matter and other matter in the Galactic Centre using stellar orbit data, aiming to improve unbiased density profile constraints.
Contribution
It develops a spherical shell model that fits a wide range of density profiles without prior assumptions, tested on mock data of star S2.
Findings
Discriminates between different density profiles with large, precise data sets.
Current and near-future instruments have limited ability to distinguish profiles.
Future observations can constrain total enclosed mass unbiasedly.
Abstract
Context. Current constraints on distributed matter in the innermost Galactic Centre (such as a cluster of faint stars and stellar remnants, Dark Matter or a combination thereof) based on the orbital dynamics of the visible stars closest to the central black hole, typically assume simple functional forms for the distributions. Aims. We take instead a general model agnostic approach in which the form of the distribution is not constrained by prior assumptions on the physical composition of the matter. This approach yields unbiased - entirely observation driven - fits for the matter distribution and places constraints on our ability to discriminate between different density profiles (and consequently between physical compositions) of the distributed matter. Methods. We construct a spherical shell model with the flexibility to fit a wide variety of physically reasonable density profiles by…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Adaptive optics and wavefront sensing
