Cosmological Constraints from the Large Scale Weak Lensing of SDSS MaxBCG Clusters
Ying Zu (1), David H. Weinberg (1), Eduardo Rozo (2), Erin S. Sheldon, (3), Jeremy L. Tinker (4), Matthew R. Becker (2) ((1) OSU, (2) Chicago, (3), BNL, (4) NYU)

TL;DR
This study uses large-scale weak lensing data from SDSS MaxBCG clusters to constrain cosmological parameters and 8, achieving results consistent with other methods and highlighting the potential of future surveys.
Contribution
First to derive cosmological constraints from large-scale weak lensing of SDSS MaxBCG clusters using a Bayesian approach with minimal priors.
Findings
=0.325_{-0.067}^{+0.086}
8=0.828_{-0.097}^{+0.111}
Results are consistent with WMAP and other studies.
Abstract
We derive constraints on the matter density \Om and the amplitude of matter clustering \sig8 from measurements of large scale weak lensing (projected separation R=5-30\hmpc) by clusters in the Sloan Digital Sky Survey MaxBCG catalog. The weak lensing signal is proportional to the product of \Om and the cluster-mass correlation function \xicm. With the relation between optical richness and cluster mass constrained by the observed cluster number counts, the predicted lensing signal increases with increasing \Om or \sig8, with mild additional dependence on the assumed scatter between richness and mass. The dependence of the signal on scale and richness partly breaks the degeneracies among these parameters. We incorporate external priors on the richness-mass scatter from comparisons to X-ray data and on the shape of the matter power spectrum from galaxy clustering, and we test our adopted…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
