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HALO7D I: The Line of Sight Velocities of Distant Main Sequence Stars in the Milky Way Halo

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 نشر من قبل Emily Cunningham
 تاريخ النشر 2018
  مجال البحث فيزياء
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The Halo Assembly in Lambda-CDM: Observations in 7 Dimensions (HALO7D) dataset consists of Keck II/DEIMOS spectroscopy and Hubble Space Telescope-measured proper motions of Milky Way halo main sequence turnoff stars in the CANDELS fields. In this paper, we present the spectroscopic component of this dataset, and discuss target selection, observing strategy, and survey properties. We present a new method of measuring line-of-sight (LOS) velocities by combining multiple spectroscopic observations of a given star, utilizing Bayesian hierarchical modeling. We present the LOS velocity distributions of the four HALO7D fields, and estimate their means and dispersions. All of the LOS distributions are dominated by the hot halo: none of our fields are dominated by substructure that is kinematically cold in the LOS velocity component. Our estimates of the LOS velocity dispersions are consistent across the different fields, and these estimates are consistent with studies using other types of tracers. To complement our observations, we perform mock HALO7D surveys using the synthetic survey software Galaxia to observe the Bullock & Johnston (2005) accreted stellar halos. Based on these simulated datasets, the consistent LOS velocity distributions across the four HALO7D fields indicates that the HALO7D sample is dominated by stars from the same massive (or few relatively massive) accretion event(s).



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The Halo Assembly in Lambda-CDM: Observations in 7 Dimensions (HALO7D) dataset consists of Keck II/DEIMOS spectroscopy and Hubble Space Telescope-measured proper motions of Milky Way (MW) halo main sequence turnoff stars in the CANDELS fields. In thi s paper, the second in the HALO7D series, we present the proper motions for the HALO7D sample. We discuss our measurement methodology, which makes use of a Bayesian mixture modeling approach for creating the stationary reference frame of distant galaxies. Using the 3D kinematic HALO7D sample, we estimate the parameters of the halo velocity ellipsoid, $langle v_{phi} rangle, sigma_r, sigma_{phi}, sigma_{theta}$, and the velocity anisotropy $beta$. Using the full HALO7D sample, we find $beta=0.63 pm 0.05$ at $langle r rangle =24$ kpc. We also estimate the ellipsoid parameters for our sample split into three apparent magnitude bins; the posterior medians for these estimates of $beta$, while consistent with one another, increase as a function of mean sample distance. Finally, we estimate $beta$ in each of the individual HALO7D fields. We find that the velocity anisotropy $beta$ can vary from field to field, which suggests that the halo is not phase mixed at $langle r rangle =24$ kpc. We explore the $beta$ variation across the skies of two stellar halos from the textit{Latte} suite of FIRE-2 simulations, finding that both simulated galaxies show $beta$ variation over a similar range to the variation observed across the four HALO7D fields. The accretion histories of the two simulated galaxies result in different $beta$ variation patterns; spatially mapping $beta$ is thus a way forward in characterizing the accretion history of the Galaxy.
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