Subhaloes gone notts: The clustering properties of subhaloes

Arnau Pujol, Enrique Gaztañaga, Carlo Giocoli, Alexander Knebe, Frazer R. Pearce, Ramin A. Skibba, Yago Ascasibar, Peter Behroozi, Pascal Elahi, Jiaxin Han, Hanni Lux, Stuart I. Muldrew, Mark Neyrinck, Julian Onions, Doug Potter, Dylan Tweed

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


We present a study of the substructure finder dependence of subhalo clustering in the Aquarius Simulation. We run 11 different subhalo finders on the haloes of the Aquarius Simulation and study their differences in the density profile, mass fraction and two-point correlation function of subhaloes in haloes. We also study the mass and νmax dependence of subhalo clustering. As the Aquarius Simulation has been run at different resolutions, we study the convergence with higher resolutions. We find that the agreement between finders is at around the 10 per cent level inside R200 and at intermediate resolutions when a mass threshold is applied, and better than 5 per cent when νmax is restricted instead of mass. However, some discrepancies appear in the highest resolution, underlined by an observed resolution dependence of subhalo clustering. This dependence is stronger for the smallest subhaloes, which are more clustered in the highest resolution, due to the detection of subhaloes within subhaloes (the sub-subhalo term). This effect modifies the mass dependence of clustering in the highest resolutions. We discuss implications of our results for models of subhalo clustering and their relation with galaxy clustering.

Original languageEnglish (US)
Pages (from-to)3205-3221
Number of pages17
JournalMonthly Notices of the Royal Astronomical Society
Issue number4
StatePublished - Mar 2014
Externally publishedYes


  • Cosmology: theory
  • Galaxies: haloes
  • Methods: numerical

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


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