4.7 Article

The chemo-dynamical groups of Galactic globular clusters

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 513, Issue 3, Pages 4107-4129

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stac1145

Keywords

methods: numerical; Galaxy: halo; galaxies: haloes; galaxies: kinematics and dynamics

Funding

  1. Science and Technology Facilities Council (STFC) [ST/F001166/1, ST/I00162X/1, ST/P000541/1]
  2. EU Horizon 2020 research and innovation programme under a Marie Skodowska-Curie grant [794474]
  3. Royal Society
  4. European Research Council (ERC) Advanced Investigator grant DMIDAS [GA 786910]
  5. BIS National E-infrastructure capital grant [ST/K00042X/1]
  6. STFC capital grant [ST/H008519/1]
  7. STFC DiRAC Operations grant [ST/K003267/1]
  8. Durham University
  9. Spanish Ministry of Science and Innovation (MICINN) through the Spanish State Research Agency [CEX2019-000920-S]
  10. program 'Rita Levi Montalcini' of the Italian MUR
  11. Marie Curie Actions (MSCA) [794474] Funding Source: Marie Curie Actions (MSCA)

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This study introduces a multicomponent chemo-dynamical method for splitting the Galactic population of globular clusters into different constituents, and further breaks down the stellar halo into individual accretion events. The method is tested using mock GC samples and shows that a proportion of the accreted GCs cannot be associated with their true infall group. The identified groups have relatively low completeness and purity due to the overlap in energy-action space of debris from past accretion events.
We introduce a multicomponent chemo-dynamical method for splitting the Galactic population of globular clusters (GCs) into three distinct constituents: bulge, disc, and stellar halo. The latter is further decomposed into the individual large accretion events that built up the Galactic stellar halo: the Gaia-Enceladus-Sausage, Kraken and Sequoia structures, and the Sagittarius and Helmi streams. Our modelling is extensively tested using mock GC samples constructed from the AURIGA suite of hydrodynamical simulations of Milky Way (MW)-like galaxies. We find that, on average, a proportion of the accreted GCs cannot be associated with their true infall group and are left ungrouped, biasing our recovered population numbers to similar to 80 per cent of their true value. Furthermore, the identified groups have a completeness and a purity of only similar to 65 per cent. This reflects the difficulty of the problem, a result of the large degree of overlap in energy-action space of the debris from past accretion events. We apply the method to the Galactic data to infer, in a statistically robust and easily quantifiable way, the GCs associated with each MW accretion event. The resulting groups' population numbers of GCs, corrected for biases, are then used to infer the halo and stellar masses of the now defunct satellites that built up the halo of the MW.

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