4.7 Article

The galaxy-halo connection of emission-line galaxies in IllustrisTNG

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stab243

关键词

methods: numerical; galaxies: haloes; large-scale structure of Universe; cosmology: theory

资金

  1. Smithsonian Astrophysical Observatory through theCfA Fellowship
  2. Harvard University through the ITC Fellowship
  3. U.S. Department of Energy [DE-SC0013718]
  4. U.S. Department of Energy (DOE) [DE-SC0013718] Funding Source: U.S. Department of Energy (DOE)

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Using hydrodynamical simulation, we investigated the halo occupation distribution (HOD) and environmental dependence of luminous star-forming emission-line galaxies (ELGs) at z=1, finding that ELGs are more likely to reside in lower density regions and show similar occupation and clustering statistics between colour-selected and sSFR-selected ELGs.
We employ the hydrodynamical simulation IllustrisTNG-300-1 to explore the halo occupation distribution (HOD) and environmental dependence of luminous star-forming emission-line galaxies (ELGs) at z similar to 1. Such galaxies are key targets for current and upcoming cosmological surveys. We select model galaxies through cuts in colour-colour space allowing for a direct comparison with the Extended Baryon Oscillation Spectroscopic Survey and the Dark Energy Spectroscopic Instrument (DESI) surveys and then compare them with galaxies selected based on specific star formation rate (sSFR) and stellar mass. We demonstrate that the ELG populations are twice more likely to reside in lower density regions (sheets) compared with the mass-selected populations and twice less likely to occupy the densest regions of the cosmic web (knots). We also show that the colour-selected and sSFR-selected ELGs exhibit very similar occupation and clustering statistics, finding that the agreement is best for lower redshifts. In contrast with the mass-selected sample, the occupation of haloes by a central ELG peaks at similar to 20 percent. We furthermore explore the dependence of the HOD and the autocorrelation on environment, noticing that at fixed halo mass, galaxies in high-density regions cluster about 10 times more strongly than low-density ones. This result suggests that we should model carefully the galaxy-halo relation and implement assembly bias effects into our models (estimated at similar to 4 per cent of the clustering of the DESI colour-selected sample at z = 0.8). Finally, we apply a simple mock recipe to recover the clustering on large scales (r greater than or similar to 1 Mpc h(-1)) to within 1 per cent by augmenting the HOD model with an environment dependence, demonstrating the power of adopting flexible population models.

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