4.7 Article

On the galaxy-halo connection in the EAGLE simulation

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnrasl/slx093

关键词

galaxies: formation; galaxies: fundamental parameters; galaxies: haloes; galaxies: kinematics and dynamics; galaxies: statistics-dark matter

资金

  1. BIS National E-infrastructure [ST/K00042X/1]
  2. STFC [ST/K00087X/1]
  3. DiRAC [ST/K003267/1]
  4. Durham University
  5. US Department of Energy [DE-AC02-76SF00515]
  6. Netherlands Organization for Scientific Research (NWO), through VICI [639.043.409]
  7. European Research Council under European Union's Seventh Framework Programme/ERC [278594-GasAroundGalaxies]
  8. STFC [ST/K00042X/1, ST/M007006/1, ST/P002293/1, ST/I00162X/1] Funding Source: UKRI
  9. Science and Technology Facilities Council [ST/M007006/1, ST/K00042X/1, ST/P002293/1, ST/I00162X/1] Funding Source: researchfish

向作者/读者索取更多资源

Empirical models of galaxy formation require assumptions about the correlations between galaxy and halo properties. These may be calibrated against observations or inferred from physical models such as hydrodynamical simulations. In this Letter, we use the EAGLE simulation to investigate the correlation of galaxy size with halo properties. We motivate this analysis by noting that the common assumption of angular momentum partition between baryons and dark matter in rotationally supported galaxies overpredicts both the spread in the stellar mass-size relation and the anticorrelation of size and velocity residuals, indicating a problem with the galaxy-halo connection it implies. We find the EAGLE galaxy population to perform significantly better on both statistics, and trace this success to the weakness of the correlations of galaxy size with halo mass, concentration and spin at fixed stellar mass. Using these correlations in empirical models will enable fine-grained aspects of galaxy scalings to be matched.

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