Inferring dark matter subhalo properties from simulated subhalo-stream encounters
Tariq Hilmi, Denis Erkal, Sergey E. Koposov, Ting S. Li, Sophia, Lilleengen, Alexander P. Ji, Geraint F. Lewis, Nora Shipp, Andrew B. Pace,, Daniel B. Zucker, Guilherme Limberg, Sam A. Usman

TL;DR
This study demonstrates that stellar streams can be used to accurately infer properties of dark matter subhaloes, even with observational uncertainties, by modeling their encounters in realistic Milky Way simulations.
Contribution
The paper introduces a method to recover dark matter subhalo properties from stellar stream encounters using realistic simulations and observational setups, improving upon previous approximations.
Findings
Subhalo properties can be recovered with current and future observational data.
Modeling on an orbit reduces degeneracy between subhalo mass and velocity.
A slight bias (~0.1 dex) in mass estimation is present.
Abstract
In the cold dark matter paradigm, our Galaxy is predicted to contain >10000 dark matter subhaloes in the range which should be completely devoid of stars. Stellar streams are sensitive to the presence of these subhaloes, which can create small-scale features in streams if they pass closely enough. Modelling these encounters can therefore, potentially recover the subhalo's properties. In this work, we demonstrate this for streams generated in numerical simulations, modelled on eccentric orbits in a realistic Milky Way potential, which includes the Large Magellanic Cloud and the subhalo itself. We focus on a mock model of the ATLAS-Aliqa Uma stream and inject a subhalo, creating a similar discontinuous morphology to current observations. We then explore how well subhalo properties are recovered using mock stream observations, consisting of no…
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Taxonomy
TopicsDark Matter and Cosmic Phenomena · Advanced Fluorescence Microscopy Techniques · Optical Imaging and Spectroscopy Techniques
