4.7 Article

Tidal dwarf galaxies in cosmological simulations

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 474, Issue 1, Pages 580-596

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stx2787

Keywords

galaxies: dwarf; galaxies: formation; galaxies: interactions

Funding

  1. European Research Council under the European Union's Seventh Framework Programme/ERC [278594-GasAroundGalaxies]
  2. BIS [ST/K00042X/1]
  3. STFC [ST/H008519/1, ST/K00087X/1]
  4. STFC DiRAC [ST/K003267/1]
  5. Durham University
  6. STFC [ST/R000832/1, ST/K00042X/1, ST/M007006/1, ST/P002293/1, ST/H008519/1, ST/I00162X/1] Funding Source: UKRI
  7. Science and Technology Facilities Council [ST/I00162X/1, ST/M007006/1, ST/K00042X/1, ST/P002293/1, ST/H008519/1, ST/R000832/1] Funding Source: researchfish

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The formation and evolution of gravitationally bound, star forming substructures in tidal tails of interacting galaxies, called tidal dwarf galaxies (TDG), has been studied, until now, only in idealized simulations of individual pairs of interacting galaxies for pre-determined orbits, mass ratios and gas fractions. Here, we present the first identification of TDG candidates in fully cosmological simulations, specifically the high-resolution simulations of the EAGLE suite. The finite resolution of the simulation limits their ability to predict the exact formation rate and survival time-scale of TDGs, but we show that gravitationally bound baryonic structures in tidal arms already form in current state-of-the-art cosmological simulations. In this case, the orbital parameter, disc orientations as well as stellar and gas masses and the specific angular momentum of the TDG forming galaxies are a direct consequence of cosmic structure formation. We identify TDG candidates in a wide range of environments, such as multiple galaxy mergers, clumpy high-redshift (up to z = 2) galaxies, high-speed encounters and tidal interactions with gas-poor galaxies. We present selection methods, the properties of the identified TDG candidates and a road map for more quantitative analyses using future high-resolution simulations.

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