Assembly Bias and Splashback in Galaxy Clusters

Abstract

We use publicly available data for the Millennium Simulation to explore the implications of the recent detection of assembly bias and splashback signatures in a large sample of galaxy clusters. These were identified in the SDSS/DR8 photometric data by the redMaPPer algorithm and split into high- and low-concentration subsamples based on the projected positions of cluster members. We use simplified versions of these procedures to build cluster samples of similar size from the simulation data. These match the observed samples quite well and show similar assembly bias and splashback signals. Previous theoretical work has found the logarithmic slope of halo density profiles to have a well-defined minimum whose depth decreases and whose radius increases with halo concentration. Projected profiles for the observed and simulated cluster samples show trends with concentration which are opposite to these predictions. In addition, for high-concentration clusters the minimum slope occurs at significantly smaller radius than predicted. We show that these discrepancies all reflect confusion between splashback features and features imposed on the profiles by the cluster identification and concentration estimation procedures. The strong apparent assembly bias is not reflected in the three-dimensional distribution of matter around clusters. Rather it is a consequence of the preferential contamination of low-concentration clusters by foreground or background groups.

arXiv comment17 pages, 16 figures, 3 tables, accepted version

References in corpus (31)

• Simulating the joint evolution of quasars, galaxies and their large-scale distribution
• Populating a cluster of galaxies - I. Results at z=0
• Planck 2013 results. I. Overview of products and scientific results
• An analytic model for the spatial clustering of dark matter haloes
• From dwarf spheroidals to cDs: Simulating the galaxy population in a LCDM cosmology
• Resolving Cosmic Structure Formation with the Millennium-II Simulation
• redMaPPer I: Algorithm and SDSS DR8 Catalog
• The age dependence of halo clustering
• Galaxy formation in the Planck Cosmology - I. Matching the observed evolution of star formation rates, colours and stellar masses
• The Dependence of Halo Clustering on Halo Formation History, Concentration, and Occupation
• Rotation-Dependent Catastrophic Disruption of Gravitational Aggregates
• Dependence of the outer density profiles of halos on their mass accretion rate
• Assembly bias in the clustering of dark matter haloes
• The splashback radius as a physical halo boundary and the growth of halo mass
• Halo Assembly Bias in Hierarchical Structure Formation
• Robust Optical Richness Estimation with Reduced Scatter
• Detection of the Splashback Radius and Halo Assembly bias of Massive Galaxy Clusters
• On Halo Formation Times and Assembly Bias
• A Consistent Study of Metallicity Evolution at 0.8 < z < 2.6
• Assembly bias and the dynamical structure of dark matter halos
• Evidence of Halo Assembly Bias in Massive Clusters
• On the Level of Cluster Assembly Bias in SDSS
• On Detecting Halo Assembly Bias with Galaxy Populations
• The Dark Side of Galaxy Color: evidence from new SDSS measurements of galaxy clustering and lensing
• Observational Evidence for an Age Dependence of Halo Bias
• The outer profile of dark matter halos: an analytical approach
• Detection of galaxy assembly bias
• Self-Similar Solutions of Triaxial Dark Matter Halos
• Caustics in growing Cold Dark Matter Haloes
• A KiDS weak lensing analysis of assembly bias in GAMA galaxy groups
• The Correlated Formation Histories of Massive Galaxies and Their Dark Matter Halos

Cited by in corpus (76)

• Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing
• Dark Energy Survey Year 1 Results: Methods for Cluster Cosmology and Application to the SDSS
• Cluster-galaxy weak lensing
• The Impact of Assembly Bias on the Galaxy Content of Dark Matter Halos
• Beyond Assembly Bias: Exploring Secondary Halo Biases for Cluster-size Haloes
• The Physics of Galaxy Cluster Outskirts
• Cosmological Constraints from DES Y1 Cluster Abundances and SPT Multi-wavelength data
• Revealing the galaxy-halo connection in IllustrisTNG
• The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles
• The splashback radius of halos from particle dynamics. I. The SPARTA algorithm
• Constraints on the mass-richness relation from the abundance and weak lensing of SDSS clusters
• Modeling projection effects in optically-selected cluster catalogues
• Constraints on Assembly Bias from Galaxy Clustering
• The mass-richness relation of optically-selected clusters from weak gravitational lensing and abundance with Subaru HSC first-year data
• Measurement of the Splashback Feature around SZ-selected Galaxy Clusters with DES, SPT and ACT
• The Evolution of Assembly Bias
• A flexible modelling of galaxy assembly bias
• The Edge of the Galaxy
• The eROSITA Final Equatorial-Depth Survey (eFEDS): Galaxy Clusters and Groups in Disguise
• The Splashback Radius of Planck-SZ clusters
• Caught in the cosmic web: Environmental effect on halo concentrations, shape, and spin
• Observational evidence of galaxy assembly bias
• Splashback in galaxy clusters as a probe of cosmic expansion and gravity
• Weak lensing constraints on splashback around massive clusters
• How Accurately Can We Detect the Splashback Radius of Dark Matter Halos and its Correlation With Accretion Rate?
• On the measurements of assembly bias and splashback radius using optically selected galaxy clusters
• The splashback radius of optically selected clusters with Subaru HSC Second Public Data Release
• Dark matter stripping in galaxy clusters: a look at the Stellar to Halo Mass relation in the Illustris simulation
• Detection of anisotropic galaxy assembly bias in BOSS DR12
• Physical Correlations of the Scatter between Galaxy Mass, Stellar Content, and Halo Mass
• Stellar splashback: the edge of the intracluster light
• Strong orientation dependence of surface mass density profiles of dark haloes at large scales
• First results on the cluster galaxy population from the Subaru Hyper Suprime-Cam survey. II. Faint end color-magnitude diagrams and radial profiles of red and blue galaxies at $0.1<z<1.1$
• The splashback radius of halos from particle dynamics: III. Halo catalogs, merger trees, and host-subhalo relations
• Dependence of Halo Bias and Kinematics on Assembly Variables
• The cosmological dependence of halo and galaxy assembly bias
• Halo Exclusion Criteria Impacts Halo Statistics
• Probing galaxy assembly bias with LRG weak lensing observations
• Clusters Have Edges: The Projected Phase SpaceStructure of SDSS redMaPPer Clusters
• Intrinsic Alignments and Splashback Radius of Dark Matter Halos from Cosmic Density and Velocity Fields
• Splashback radius of nonspherical dark matter halos from cosmic density and velocity fields
• LoCuSS: The splashback radius of massive galaxy clusters and its dependence on cluster merger history
• Phase-space structure of cold dark matter halos inside splashback: multi-stream flows and self-similar solution
• The Outer Stellar Mass of Massive Galaxies: A Simple Tracer of Halo Mass with Scatter Comparable to Richness and Reduced Projection Effects
• Scatter in Sunyaev--Zel'dovich effect scaling relations explained by inter-cluster variance in mass accretion histories
• Evolution of Splashback Boundaries and Gaseous Outskirts: Insights from Mergers of Self-similar Galaxy Clusters
• Mass accretion rates of clusters of galaxies: CIRS and HeCS
• Kinematics of cluster galaxies and their relation to galaxy evolution
• Observational constraints of an anisotropic boost due to the projection effects using redMaPPer clusters
• The Effect of Assembly Bias on Redshift Space Distortions
• The impact of galaxy selection on the splashback boundaries of galaxy clusters
• Brightest Cluster Galaxies Are Statistically Special From $z=0.3$ to $z=1$
• Separate Universe calibration of the dependence of halo bias on cosmic web anisotropy
• The eROSITA Final Equatorial-Depth Survey (eFEDS) -- Splashback radius of X-ray galaxy clusters using galaxies from HSC survey
• The mass-size relation of galaxy clusters
• Measuring Cosmological Distances Using Cluster Edges as a Standard Ruler
• Scatter in the satellite galaxy SHMR: fitting functions, scaling relations & physical processes from the IllustrisTNG simulation
• Measuring the mass and concentration of dark matter halos from the velocity dispersion profile of their stars
• Optical galaxy cluster mock catalogs with realistic projection effects: Validations with the SDSS clusters
• The infall region as a complementary probe to cluster abundance
• Dynamical cluster masses from photometric surveys
• Anisotropy and characteristic scales in halo density gradient profiles
• HD 42659: The only known roAp star in a spectroscopic binary observed with B photometry, TESS and SALT
• Environmental effects on halo abundance and weak lensing peak statistics toward large underdense regions
• The First SRG/eROSITA All-Sky Survey. Characterization of clusters of galaxies misclassified in the eRASS1 point source catalog
• Satellite Content and Halo Mass of Galaxy Clusters: Comparison between Red-Sequence and Halo-based Optical Cluster Finders
• The Three Hundred Project: deducing the stellar splashback structure of galaxy clusters from their orbiting profiles
• The impact of halo concentration on the Sunyaev Zel'dovich effect signal from massive galaxy clusters
• Exploring the stellar populations of backsplash galaxies
• The mass and galaxy distribution around SZ-selected clusters
• Stellar mass measurements in Abell 133 with Magellan / IMACS
• Assembly bias in quadratic bias parameters of dark matter halos from forward modeling
• Impact of projection-induced optical selection bias on the weak lensing mass calibration of galaxy clusters
• Strong Conformity and Assembly Bias: Towards a Physical Understanding of the Galaxy-Halo Connection in SDSS Clusters
• On the Assembly Bias of Cool Core Clusters Traced by H$\alpha$ Nebulae
• The impact of projection effects on cluster observables: stacked lensing and projected clustering