Subhaloes gone Notts: the clustering properties of subhaloes

Abstract

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 we study their differences in the density profile, mass fraction and 2-point correlation function of subhaloes in haloes. We also study the mass and vmax 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% level inside R200 and at intermediate resolutions when a mass threshold is applied, and better than 5% when vmax 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.

19 pages, 15 figures

References in corpus (14)

• Concentration, Spin and Shape of Dark Matter Haloes as a Function of the Cosmological Model: WMAP1, WMAP3 and WMAP5 results
• Galaxy Evolution from Halo Occupation Distribution Modeling of DEEP2 and SDSS Galaxy Clustering
• The redshift dependence of the structure of massive LCDM halos
• Dark matter and cosmic structure
• Towards a Concordant Model of Halo Occupation Statistics
• Building Merger Trees from Cosmological N-body Simulations
• SubHaloes going Notts: The SubHalo-Finder Comparison Project
• The Population of Dark Matter Subhaloes: Mass Functions and Average Mass Loss Rates
• Physical properties underlying observed kinematics of satellite galaxies
• VOBOZ: An Almost-Parameter-Free Halo-Finding Algorithm
• Rhapsody. II. Subhalo Properties and the Impact of Tidal Stripping From a Statistical Sample of Cluster-Size Halos
• Subhaloes gone Notts: Spin across subhaloes and finders
• Streams Going Notts: The tidal debris finder comparison project
• The Clustering and Host Halos of Galaxy Mergers at High Redshift

Cited by in corpus (16)

• Beyond $\Lambda$CDM: Problems, solutions, and the road ahead
• Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering
• Modified Gravity N-body Code Comparison Project
• Baryonic impact on the dark matter distribution in Milky Way-size galaxies and their satellites
• Modelling galaxy clustering: halo occupation distribution versus subhalo matching
• Major Mergers Going Notts: Challenges for Modern Halo Finders
• PHEW: a parallel segmentation algorithm for three-dimensional AMR datasets - application to structure detection in self-gravitating flows
• Dark Matter Halo Models of Stellar Mass-Dependent Galaxy Clustering in PRIMUS+DEEP2 at 0.2<z<1.2
• Convergence properties of halo merger trees; halo and substructure merger rates across cosmic history
• nIFTy Cosmology: the clustering consistency of galaxy formation models
• Using Galaxy Pairs to Probe Star Formation During Major Halo Mergers
• Galaxy Three-Point Correlation Functions and Halo/Subhalo Models
• Simulating the Anisotropic Clustering of Luminous Red Galaxies with Subhalos: A Direct Confrontation with Observation and Cosmological Implications
• Investigating the galaxy-halo connection of DESI Emission-Line Galaxies with SHAMe-SF
• N-body Simulations of $\gamma$ Gravity
• The emergence of globular clusters and globular-cluster-like dwarfs