Cosmological Constraints from the SDSS maxBCG Cluster Catalog

Abstract

We use the abundance and weak lensing mass measurements of the SDSS maxBCG cluster catalog to simultaneously constrain cosmology and the richness--mass relation of the clusters. Assuming a flat \LambdaCDM cosmology, we find σ_8(Ω_m/0.25)^{0.41} = 0.832\pm 0.033 after marginalization over all systematics. In common with previous studies, our error budget is dominated by systematic uncertainties, the primary two being the absolute mass scale of the weak lensing masses of the maxBCG clusters, and uncertainty in the scatter of the richness--mass relation. Our constraints are fully consistent with the WMAP five-year data, and in a joint analysis we find σ_8=0.807\pm 0.020 and Ω_m=0.265\pm 0.016, an improvement of nearly a factor of two relative to WMAP5 alone. Our results are also in excellent agreement with and comparable in precision to the latest cosmological constraints from X-ray cluster abundances. The remarkable consistency among these results demonstrates that cluster abundance constraints are not only tight but also robust, and highlight the power of optically-selected cluster samples to produce precision constraints on cosmological parameters.

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• The Structure of 2MASS Galaxy Clusters
• Constraining Ultra-light Axions with Galaxy Cluster Number Counts
• Self-calibrating optical galaxy cluster selection bias using cluster, galaxy, and shear cross-correlations
• Constraints on dark energy from the CSST galaxy clusters
• Deep learning insights into non-universality in the halo mass function
• Intracluster gas pressure, entropy injection and redshift evolution
• Suppressing the thermal SZ-induced variance in CMB-cluster lensing estimators
• Trial by FIRE: Probing the dark matter density profile of dwarf galaxies with GraphNPE
• Degradation analysis in the estimation of photometric redshifts from non-representative training sets
• Fast multiscale galaxy cluster detection with weak lensing: towards a mass-selected sample
• Satellite Content and Halo Mass of Galaxy Clusters: Comparison between Red-Sequence and Halo-based Optical Cluster Finders
• Characterising galaxy clusters' completeness function in Planck with hydrodynamical simulations
• Stacked phase-space density of galaxies around massive clusters: Comparison of dynamical and lensing masses
• Synthetic Galaxy Clusters and Observations Based on Dark Energy Survey Year 3 Data
• Measuring the scatter of the mass-richness relation in galaxy clusters in photometric imaging surveys by means of their correlation function
• CHEX-MATE: The Impact of Triaxiality and Orientation on Planck SZ Cluster Selection and Weak Lensing Mass Measurements
• Cosmological constraints from Sunyaev-Zeldovich cluster counts: an approach to account for missing redshifts
• Galaxy cluster hydrostatic bias in Kottler spacetime
• Characterising the optical properties of galaxy clusters with GMPhoRCC
• Mapping dark matter and finding filaments: calibration of lensing analysis techniques on simulated data
• Impact of projection-induced optical selection bias on the weak lensing mass calibration of galaxy clusters
• Cosmology with Persistent Homology: Parameter Inference via Machine Learning
• The Outskirt Stellar Mass of Low-Redshift Massive Galaxies is an Excellent Halo Mass Proxy in Illustris/IllustrisTNG Simulations
• The Pseudo Evolution of Galaxy-Cluster Masses and Its Connection to Mass Density Profile
• Strong Conformity and Assembly Bias: Towards a Physical Understanding of the Galaxy-Halo Connection in SDSS Clusters
• AMICO-WL: an optimal filtering algorithm for galaxy cluster detections with weak lensing
• Revisiting Galaxy Cluster Scaling Relations through Dark Matter-Gas Coherence: Scatter Dependence on Dynamical State
• Euclid preparation. L. Calibration of the linear halo bias in $\Lambda (\nu )$CDM cosmologies
• The ${\mathrm{Y}}_{\mathrm{SZ},\mathrm{Planck}}-{\mathrm{Y}}_{\mathrm{SZ},\mathrm{XMM}}$ scaling relation and its difference between cool-core and non-cool-core clusters
• Observations of General Relativity at strong and weak limits
• Impact of the calibration of the Halo Mass Function on galaxy cluster number count cosmology
• Photometric redshifts for the S-PLUS Survey: is machine learning up to the task?
• Dynamical Properties and Velocity Dispersion-Mass Relation of $z\sim 1$ Galaxy Clusters from the GOGREEN and GCLASS Surveys
• Deep Learning generated observations of galaxy clusters from dark-matter-only simulations
• Slicing cluster mass functions with a Bayesian razor
• The impact of projection effects on cluster observables: stacked lensing and projected clustering