Substructure at High Speed I: Inferring the Escape Velocity in the Presence of Kinematic Substructure
arXiv:2102.01704 · doi:10.3847/1538-4357/ac4243
Abstract
The local escape velocity provides valuable inputs to the mass profile of the Galaxy, and requires understanding the tail of the stellar speed distribution. Following Leonard Tremaine (1990), various works have since modeled the tail of the stellar speed distribution as , where is the escape velocity, and is the slope of the distribution. In such studies, however, these two parameters were found to be largely degenerate and often a narrow prior is imposed on in order to constrain . Furthermore, the validity of the power law form is likely to break down in the presence of multiple kinematic substructures. In this paper, we introduce a strategy that for the first time takes into account the presence of kinematic substructure. We model the tail of the velocity distribution as a sum of multiple power laws without imposing strong priors. Using mock data, we show the robustness of this method in the presence of kinematic structure that is similar to the recently-discovered Gaia Sausage. In a companion paper, we present the new measurement of the escape velocity and subsequently the mass of the Milky Way using Gaia DR2 data.
17+13 pages, 13+14 figures
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- The Escape Velocity Profile of the Milky Way from Gaia DR3
- Milky Way Mass Through Escape Velocity Curve from LAMOST K Giants
- Information-theoretic astrophysical uncertainties in the effective theory of dark matter direct detection