Can we really pick and choose? Benchmarking various selections of Gaia Enceladus/Sausage stars in observations with simulations
Andreia Carrillo, Alis J. Deason, Azadeh Fattahi, Thomas M., Callingham, Robert J. J. Grand

TL;DR
This study evaluates various methods for selecting Gaia Enceladus/Sausage stars in observations and simulations, highlighting how different selection criteria impact the inferred properties of this galactic debris.
Contribution
It systematically compares multiple selection techniques for GES stars using observational data and cosmological simulations, providing guidance on their effectiveness and biases.
Findings
Jr-Lz method offers higher purity in GES samples.
Eccentricity method captures more complete GES populations.
Different selection methods lead to significant variations in estimated progenitor mass.
Abstract
Large spectroscopic surveys plus Gaia astrometry have shown us that the inner stellar halo of the Galaxy is dominated by the debris of Gaia Enceladus/Sausage (GES). With the richness of data at hand, there are a myriad of ways these accreted stars have been selected. We investigate these GES selections and their effects on the inferred progenitor properties using data constructed from APOGEE and Gaia. We explore selections made in eccentricity, energy-angular momentum (E-Lz), radial action-angular momentum (Jr-Lz), action diamond, and [Mg/Mn]-[Al/Fe] in the observations, selecting between 144 and 1,279 GES stars with varying contamination from in-situ and other accreted stars. We also use the Auriga cosmological hydrodynamic simulations to benchmark the different GES dynamical selections. Applying the same observational GES cuts to nine Auriga galaxies with a GES, we find that the Jr-Lz…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astro and Planetary Science · Astrophysics and Star Formation Studies
