HALO7D I: The Line of Sight Velocities of Distant Main Sequence Stars in the Milky Way Halo
Emily C. Cunningham, Alis J. Deason, Constance M. Rockosi, Puragra, Guhathakurta, Zachary G. Jennings, Evan N. Kirby, Elisa Toloba, and Guillermo, Barro

TL;DR
This paper presents the HALO7D dataset's spectroscopic component, introducing a Bayesian method for measuring line-of-sight velocities of distant Milky Way halo stars, revealing a dominant hot halo component across multiple fields.
Contribution
It introduces a new Bayesian hierarchical approach for LOS velocity measurement and provides the first detailed velocity distribution analysis of distant halo stars in multiple fields.
Findings
LOS velocity distributions are dominated by the hot halo component.
Velocity dispersions are consistent across different fields.
Simulations suggest the halo stars originate from a few massive accretion events.
Abstract
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…
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