Clusters Have Edges: The Projected Phase SpaceStructure of SDSS redMaPPer Clusters
arXiv:2003.11555 · doi:10.1093/mnras/staa2841
Abstract
We study the distribution of line-of-sight velocities of galaxies in the vicinity of SDSS redMaPPer galaxy clusters. Based on their velocities, galaxies can be split into two categories: galaxies that are dynamically associated with the cluster, and random line-of-sight projections. Both the fraction of galaxies associated with the galaxy clusters, and the velocity dispersion of the same, exhibit a sharp feature as a function of radius. The feature occurs at a radial scale , where is the cluster radius assigned by redMaPPer. We refer to as the "edge radius." These results are naturally explained by a model that further splits the galaxies dynamically associated with a galaxy cluster into a component of galaxies orbiting the halo and an infalling galaxy component. The edge radius constitutes a true "cluster edge", in the sense that no orbiting structures exist past this radius. A companion paper (Aung et al. 2020) tests whether the "halo edge" hypothesis holds when investigating the full three-dimensional phase space distribution of dark matter substructures in numerical simulations, and demonstrates that this radius coincides with a suitably defined splashback radius.
arXiv comment10 pages, 5 figures, submitted to MNRAS, companion paper to Aung et al. 2020
References in corpus (36)
- Cosmological Parameters from Observations of Galaxy Clusters
- Formation of Galaxy Clusters
- redMaPPer I: Algorithm and SDSS DR8 Catalog
- The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment
- Rotation-Dependent Catastrophic Disruption of Gravitational Aggregates
- Dependence of the outer density profiles of halos on their mass accretion rate
- The splashback radius as a physical halo boundary and the growth of halo mass
- Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing
- Splashback in accreting dark matter halos
- Weak Lensing Measurement of the Mass--Richness Relation of SDSS redMaPPer Clusters
- Detection of the Splashback Radius and Halo Assembly bias of Massive Galaxy Clusters
- redMaPPer II: X-ray and SZ Performance Benchmarks for the SDSS Catalog
- Dark Energy Survey Year 1 Results: Methods for Cluster Cosmology and Application to the SDSS
- redMaPPer IV: Photometric Membership Identification of Cluster Galaxies with 1% Precision
- The splashback radius of halos from particle dynamics. II. Dependence on mass, accretion rate, redshift, and cosmology
- On the Level of Cluster Assembly Bias in SDSS
- The Halo Boundary of Galaxy Clusters in the SDSS
- The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles
- redMaPPer III: A Detailed Comparison of the Planck 2013 and SDSS DR8 RedMaPPer Cluster Catalogs
- Lensing Constraints on the Mass Profile Shape and the Splashback Radius of Galaxy Clusters
- Assembly Bias and Splashback in Galaxy Clusters
- The mass-richness relation of optically-selected clusters from weak gravitational lensing and abundance with Subaru HSC first-year data
- Signatures of Self-Interacting dark matter on cluster density profile and subhalo distributions
- Measurement of the Splashback Feature around SZ-selected Galaxy Clusters with DES, SPT and ACT
- Galaxy Cluster Mass Estimation from Stacked Spectroscopic Analysis
- Galaxy Infall Kinematics as a Test of Modified Gravity
- The Redshift-Space Cluster-Galaxy Cross-Correlation Function: I. Modeling Galaxy Infall onto Millennium Simulation Clusters and SDSS Groups
- The Splashback Radius of Planck-SZ clusters
- Splashback in galaxy clusters as a probe of cosmic expansion and gravity
- The splashback radius of optically selected clusters with Subaru HSC Second Public Data Release
- On the measurements of assembly bias and splashback radius using optically selected galaxy clusters
- Halo Exclusion Criteria Impacts Halo Statistics
- Splashback radius of nonspherical dark matter halos from cosmic density and velocity fields
- Intrinsic Alignments and Splashback Radius of Dark Matter Halos from Cosmic Density and Velocity Fields
- Constraining cluster masses from the stacked phase space distribution at large radii
- Improved Cosmological Constraints from SDSS redMaPPer Clusters via X-ray Follow-up of a Complete Subsample of Systems
Cited by in corpus (20)
- Probing galaxy evolution in massive clusters using ACT and DES: splashback as a cosmic clock
- Flybys, orbits, splashback: subhalos and the importance of the halo boundary
- Spectroscopic Quantification of Projection Effects in the SDSS redMaPPer Galaxy Cluster Catalogue
- Shock and Splash: Gas and Dark Matter Halo Boundaries around LambdaCDM Galaxy Clusters
- The Phase Space Structure of Dark Matter Halos
- A dynamics-based density profile for dark haloes -- II. Fitting function
- LoCuSS: The splashback radius of massive galaxy clusters and its dependence on cluster merger history
- The Outer Stellar Mass of Massive Galaxies: A Simple Tracer of Halo Mass with Scatter Comparable to Richness and Reduced Projection Effects
- A Better Way to Define Dark Matter Haloes
- The outermost edges of the Milky Way halo from galaxy kinematics
- Accurate Model of the Projected Velocity Distribution of Galaxies in Dark Matter Halos
- The mass-size relation of galaxy clusters
- Measuring Cosmological Distances Using Cluster Edges as a Standard Ruler
- Measuring the mass and concentration of dark matter halos from the velocity dispersion profile of their stars
- Einasto profile as the halo model solution coupled to the depletion radius
- Stacked phase-space density of galaxies around massive clusters: Comparison of dynamical and lensing masses
- The mass and galaxy distribution around SZ-selected clusters
- A full reconstruction of two galaxy clusters intra-cluster medium with strong gravitational lensing
- Iterative mean-field approach to the spherical collapse of dark matter halos
- A dynamics-based density profile for dark haloes. I. Algorithm and basic results