The origin of metal-poor stars on prograde disc orbits in FIRE simulations of Milky Way-mass galaxies
Abstract
In hierarchical structure formation, metal-poor stars in and around the Milky Way (MW) originate primarily from mergers of lower mass galaxies. A common expectation is therefore that metal-poor stars should have isotropic, dispersion-dominated orbits that do not correlate strongly with the MW disc. However, recent observations of stars in the MW show that metal-poor ([Fe/H] ≲ −2) stars are preferentially on prograde orbits with respect to the disc. Using the Feedback In Realistic Environments 2 (FIRE-2) suite of cosmological zoom-in simulations of MW/M31-mass galaxies, we investigate the prevalence and origin of prograde metal-poor stars. Almost all (11 of 12) of our simulations have metal-poor stars on preferentially prograde orbits today and throughout most of their history: we thus predict that this is a generic feature of MW/M31-mass galaxies. The typical prograde-to-retrograde ratio is ∼2:1, which depends weakly on stellar metallicity at [Fe/H] ≲ −1. These trends predicted by our simulations agree well with MW observations. Prograde metal-poor stars originate largely from a single Large/Small Magellanic Cloud (LMC/SMC)-mass gas-rich merger 7−12.5 Gyr ago, which deposited existing metal-poor stars and significant gas on an orbital vector that sparked the formation of and/or shaped the orientation of a long-lived stellar disc, giving rise to a prograde bias for all low-metallicity stars. We find subdominant contributions from in situ stars formed in the host galaxy before this merger, and in some cases, additional massive mergers. We find few clear correlations between any properties of our MW/M31-mass galaxies at z = 0 and the degree of this prograde bias as a result of diverse merger scenarios.
Additional Information
© 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). We greatly appreciate interesting and fruitful discussions with both Federico Sestito and Nicolas Martin, as well as Courtney Carter and Charlie Conroy. We also express our gratitude for their sharing of observational data. Finally, we wish to thank the reviewer, Ted Mackereth, for offering many great suggestions to strengthen the paper. IBS, AW, and JS received support from NASA through ATP grants 80NSSC18K1097 and 80NSSC20K0513; HST grants GO-14734, AR-15057, AR-15809, and GO-15902 from STScI; a Scialog Award from the Heising-Simons Foundation; and a Hellman Fellowship. AW performed this work in part at KITP, supported by NSF grant PHY-1748958. C-AF-G was supported by NSF through grants AST-1715216 and CAREER award AST-1652522; by NASA through grant 17-ATP17-0067; by STScI through grant HST-AR-16124.001-A; and by a Cottrell Scholar Award and a Scialog Award from the Research Corporation for Science Advancement. RES acknowledges support from NASA grant 19-ATP19-0068, NSF grant AST-2009828, and HST-AR-15809 from the Space Telescope Science Institute (STScI), which is operated by AURA, Inc., under NASA contract NAS5-26555. We ran simulations using: XSEDE, supported by NSF grant ACI-1548562; Blue Waters, supported by the NSF; Pleiades, via the NASA HEC program through the NAS Division at Ames Research Center. This paper used various python packages including NumPy (Harris et al. 2020), SciPy (Virtanen et al. 2020), and matplotlib (Hunter 2007), as well as NASA's Astrophysics Data System. DATA AVAILABILITY. Full simulation snapshots at z = 0 are available for m12i, m12f, and m12m at ananke.hub.yt. The python code used to analyse these data is available at https://bitbucket.org/isantis/iron_poor_stars, which uses the publicly available packages https://bitbucket.org/awetzel/gizmo_analysis, https://bitbucket.org/awetzel/halo_analysis, and https://bitbucket.org/awetzel/utilities. Finally, data values in each figure are available at https://ibsantistevan.wixsite.com/mysite/publications.Additional details
- Eprint ID
- 118709
- Resolver ID
- CaltechAUTHORS:20230105-895007000.31
- NASA
- 80NSSC18K1097
- NASA
- 80NSSC20K0513
- NASA
- HST-GO-14734
- NASA
- HST-AR-15057
- NASA
- HST-AR-15809
- NASA
- HST-GO-15902
- Heising-Simons Foundation
- Scialog Award
- Hellman Fellowship
- NSF
- PHY-1748958
- NSF
- AST-1715216
- NSF
- AST-1652522
- NASA
- 17-ATP17-0067
- NASA
- HST-AR-16124.001-A
- Cottrell Scholar of Research Corporation
- Scialog Fellow of Research Corporation
- NASA
- 19-ATP19-0068
- NSF
- AST-2009828
- NASA
- HST-AR-15809
- NASA
- NAS5-26555
- NSF
- ACI-1548562
- Created
-
2023-01-09Created from EPrint's datestamp field
- Updated
-
2023-01-09Created from EPrint's last_modified field