Weak-lensing-inferred scaling relations of galaxy clusters in the RCS2: mass-richness, mass-concentration, mass-bias, and more
Edo van Uitert, David G. Gilbank, Henk Hoekstra, Elisabetta Semboloni,, Michael D. Gladders, H.K.C. Yee

TL;DR
This study uses weak lensing to derive scaling relations of galaxy clusters in RCS2, revealing how mass, concentration, and bias vary with richness and redshift, and providing insights into cluster structure and evolution.
Contribution
It presents new measurements of mass-richness, mass-concentration, and mass-bias relations for galaxy clusters across redshifts, incorporating cluster miscentring and satellite distribution modeling.
Findings
Mass-richness relation parameters are quantified at different redshifts.
Miscentring distribution is well constrained, with only 30% of BCGs at the dark matter peak.
Mass-concentration and mass-bias relations show redshift evolution consistent with some literature, affected by selection effects.
Abstract
We study a sample of ~10^4 galaxy clusters in the redshift range 0.2<z<0.8 with masses M_200 > 5x10^13 h_70^-1 M_sun, discovered in the second Red-sequence Cluster Survey (RCS2). The depth and excellent image quality of the RCS2 enable us to detect the cluster-mass cross-correlation up to z~0.7. To obtain cluster masses, concentrations and halo biases, we fit a cluster halo model simultaneously to the lensing signal and to the projected density profile of red-sequence cluster members, as the latter provides tight constraints on the cluster miscentring distribution. We parametrise the mass-richness relation as M_200 = A x (N_200/20)^alpha, and find A = (15.0 +- 0.8) x 10^13 h_70^-1 M_sun and alpha = 0.73 +- 0.07 at low redshift (0.2<z<0.35). At intermediate redshift (0.35<z<0.55), we find a higher normalisation, which points at a fractional increase of the richness towards lower redshift…
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.
