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Title: Spatial clustering of dark matter haloes: secondary bias, neighbour bias, and the influence of massive neighbours on halo properties

Journal Article · · Monthly Notices of the Royal Astronomical Society
DOI:https://doi.org/10.1093/mnras/sty109· OSTI ID:1436106
 [1];  [2];  [3]; ORCiD logo [4];  [5];  [6];  [7];  [1]
  1. The Ohio State Univ., Columbus, OH (United States)
  2. New York City College of Technology, Brooklyn, NY (United States); American Museum of Natural History, New York, NY (United States)
  3. Vanderbilt Univ., Nashville, TN (United States)
  4. Vanderbilt Univ., Nashville, TN (United States); Swinburne Univ. of Technology, Hawthorn, VIC (Australia); ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D) (Australia)
  5. Vanderbilt Univ., Nashville, TN (United States); Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States)
  6. Univ. of Arizona, Tucson, AZ (United States)
  7. Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
+ Show Author Affiliations

Here, we explore the phenomenon commonly known as halo assembly bias, whereby dark matter haloes of the same mass are found to be more or less clustered when a second halo property is considered, for haloes in the mass range 3.7 × 1011–5.0 × 1013 h–1 M⊙. Using the Large Suite of Dark Matter Simulations (LasDamas) we consider nine commonly used halo properties and find that a clustering bias exists if haloes are binned by mass or by any other halo property. This secondary bias implies that no single halo property encompasses all the spatial clustering information of the halo population. The mean values of some halo properties depend on their halo's distance to a more massive neighbour. Halo samples selected by having high values of one of these properties therefore inherit a neighbour bias such that they are much more likely to be close to a much more massive neighbour. This neighbour bias largely accounts for the secondary bias seen in haloes binned by mass and split by concentration or age. However, haloes binned by other mass-like properties still show a secondary bias even when the neighbour bias is removed. The secondary bias of haloes selected by their spin behaves differently than that for other halo properties, suggesting that the origin of the spin bias is different than of other secondary biases.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-76SF00515; AST-1151650
OSTI ID:
1436106
Journal Information:
Monthly Notices of the Royal Astronomical Society, Vol. 475, Issue 4; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 48 works
Citation information provided by
Web of Science

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Concentration, spin and shape of dark matter haloes: scatter and the dependence on mass and environment text January 2007
On Detecting Halo Assembly Bias with Galaxy Populations text January 2016
Concentration, spin and shape of dark matter haloes: scatter and the dependence on mass and environment text January 2007
Mapping stellar content to dark matter haloes using galaxy clustering and galaxy–galaxy lensing in the SDSS DR7 text January 2015
Mapping stellar content to dark matter halos. II. Halo mass is the main driver of galaxy quenching text January 2015
On Detecting Halo Assembly Bias with Galaxy Populations text January 2016
Mapping stellar content to dark matter halos. II. Halo mass is the main driver of galaxy quenching text January 2015
Strong bimodality in the host halo mass of central galaxies from galaxy-galaxy lensing text January 2018
The distribution of ejected subhalos and its implication for halo assembly bias text January 2008
Assembly bias and the dynamical structure of dark matter halos text January 2009
The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores text January 2011
The Connection between Galaxies and Dark Matter Structures in the Local Universe text January 2012
A Re-examination of Galactic Conformity and a Comparison with Semi-analytic Models of Galaxy Formation text January 2012
Planck 2013 results. XVI. Cosmological parameters text January 2013
How to Zoom: Bias, Contamination, and Lagrange Volumes in Multimass Cosmological Simulations text January 2013
Halo Abundance Matching: accuracy and conditions for numerical convergence preprint January 2013
The Scale-Dependence of Halo Assembly Bias text January 2015
Mapping stellar content to dark matter halos. II. Halo mass is the main driver of galaxy quenching text January 2015
Strong bimodality in the host halo mass of central galaxies from galaxy-galaxy lensing text January 2015
Large-scale assembly bias of dark matter halos text January 2016
Beyond Assembly Bias: Exploring Secondary Halo Biases for Cluster-size Haloes text January 2017
Halo occupation numbers and galaxy bias text January 2000
How Many Galaxies Fit in a Halo? Constraints on Galaxy Formation Efficiency from Spatial Clustering text January 2000
Linking Early and Late Type Galaxies to their Dark Matter Haloes text January 2002
The Halo Occupation Distribution and the Physics of Galaxy Formation text January 2002
Environmental Enhancement of DM Haloes text January 2004
The Non-Parametric Model for Linking Galaxy Luminosity with Halo/Subhalo Mass text January 2005
The Dependence of Halo Clustering on Halo Formation History, Concentration, and Occupation text January 2005
Baryon Dynamics, Dark Matter Substructure, and Galaxies text January 2006
Concentration, Spin and Shape of Dark Matter Haloes: Scatter and the Dependence on Mass and Environment text January 2006
Assembly bias in the clustering of dark matter haloes text January 2006
The Structure of Cold Dark Matter Halos text January 1995
An analytic model for the spatial clustering of dark matter haloes text January 1995
Statistical Properties of X-ray Clusters: Analytic and Numerical Comparisons text January 1997

Cited By (24)

Small- and large-scale galactic conformity in SDSS DR7 journal July 2018
Emulating galaxy clustering and galaxy–galaxy lensing into the deeply non-linear regime: methodology, information, and forecasts journal August 2018
The conditional colour–magnitude distribution – I. A comprehensive model of the colour–magnitude–halo mass distribution of present-day galaxies journal September 2018
The multidimensional dependence of halo bias in the eye of a machine: a tale of halo structure, assembly, and environment journal October 2018
Basilisk: Bayesian hierarchical inference of the galaxy–halo connection using satellite kinematics – I. Method and validation journal July 2019
Cosmic web anisotropy is the primary indicator of halo assembly bias journal August 2019
corrfunc – a suite of blazing fast correlation functions on the CPU journal November 2019
Testing the accuracy of halo occupation distribution modelling using hydrodynamic simulations journal December 2019
The effect of assembly bias on redshift-space distortions journal March 2019
The secondary spin bias of dark matter haloes journal April 2019
Ingredients for 21 cm Intensity Mapping journal October 2018
On the Assembly Bias of Cool Core Clusters Traced by H α Nebulae journal September 2019
PRIMUS: Clustering of Star-forming and Quiescent Central Galaxies at 0.2 < z < 0.9 journal October 2019
On the Prospect of Using the Maximum Circular Velocity of Halos to Encapsulate Assembly Bias in the Galaxy–Halo Connection journal December 2019
Emulating galaxy clustering and galaxy-galaxy lensing into the deeply nonlinear regime: methodology, information, and forecasts text January 2017
The Conditional Colour-Magnitude Distribution: I. A Comprehensive Model of the Colour-Magnitude-Halo Mass Distribution of Present-Day Galaxies text January 2018
The multidimensional dependence of halo bias in the eye of a machine: a tale of halo structure, assembly and environment text January 2018
Ingredients for 21cm intensity mapping text January 2018
The Effect of Assembly Bias on Redshift Space Distortions text January 2018
The Secondary Spin Bias of Dark Matter Haloes text January 2018
On the prospect of using the maximum circular velocity of halos to encapsulate assembly bias in the galaxy-halo connection text January 2019
BASILISK: Bayesian Hierarchical Inference of the Galaxy-Halo Connection using Satellite Kinematics--I. Method and Validation text January 2019
Testing the Accuracy of Halo Occupation Distribution Modelling using Hydrodynamic Simulations text January 2019
Corrfunc --- A Suite of Blazing Fast Correlation Functions on the CPU text January 2019

Figures / Tables (8)

Table 1(p. 3)table Table 1
Figure 1(p. 4)figure Figure 1
Figure 2(p. 5)figure Figure 2
Figure 3(p. 6)figure Figure 3
Figure 4(p. 8)figure Figure 4
Figure 5(p. 9)figure Figure 5
Figure 6(p. 10)figure Figure 6
Figure 7(p. 11)figure Figure 7

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Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
methods: numerical
galaxies: formation
galaxies: haloes
dark matter
large-scale structure of Universe
cosmology: theory