The Kinematic Properties of Milky Way Stellar Halo Populations
James M. M. Lane, Jo Bovy, J. Ted Mackereth

TL;DR
This paper evaluates various kinematic spaces for classifying Milky Way halo populations, finding scaled action space most effective, and introduces a new selection criterion for Gaia-Enceladus stars with high purity.
Contribution
It introduces a new, effective selection criterion for Gaia-Enceladus stars and compares the efficacy of different kinematic spaces in classifying halo populations.
Findings
Scaled action space outperforms other kinematic spaces in separating halo populations.
The new selection criterion achieves 82% purity for Gaia-Enceladus stars.
Selection biases can affect the interpretation of stellar kinematic distributions.
Abstract
In the era stellar kinematics are extensively used to study Galactic halo stellar populations, to search for halo structures, and to characterize the interface between the halo and hot disc populations. We use distribution function-based models of modern datasets with 6D phase space data to qualitatively describe a variety of kinematic spaces commonly used in the study of the Galactic halo. Furthermore, we quantitatively assess how well each kinematic space can separate radially anisotropic from isotropic halo populations. We find that scaled action space (the ``action diamond'') is superior to other commonly used kinematic spaces at this task. We present a new, easy to implement selection criterion for members of the radially-anisotropic -Enceladus merger remnant. Assuming a 1:1 ratio of -Enceladus stars to more isotropic halo, we find our selection achieves a sample…
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