Weak-lensing mass calibration of Planck Sunyaev--Zel'dovich clusters with HSC-SSP Year 3
Andrés Alejandro Plazas Malagón, Hironao Miyatake, Surhud More, Nicholas Battaglia, Eunseong Lee, Neta Bahcall
astro-ph.CO
Submitted: 2026-06-16
Comments: 27 pages, 10 figures, submitted to PRD
License: http://creativecommons.org/licenses/by/4.0/
The gist: We present a weak gravitational lensing mass calibration of 19 Planck Sunyaev--Zel'dovich (SZ) selected galaxy clusters using shape measurements from the Hyper Suprime-Cam Subaru Strategic Program
Terminology
Abstract
We present a weak gravitational lensing mass calibration of 19 Planck Sunyaev--Zel'dovich (SZ) selected galaxy clusters using shape measurements from the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) Year 3 shape catalog. We measure the stacked weak-lensing signal (R) using per-cluster lensing weights that match the measurement pipeline's stacking scheme, and construct an analytical covariance matrix that includes shape noise and projected large-scale structure contributions. Our primary constraint on the SZ mass bias comes from a forward-modeling approach that integrates over the halo mass function while accounting for the Planck SZ selection function, Eddington bias from log-normal scatter in the SZ mass proxy, and cluster miscentering. Fitting four free parameters, the log mass bias (1-b), the miscentered fraction f mis, the offset scale sigma off, and the SZ scatter sigma M, over the radial range 0.5 -- 5.0,h-1, Mpc, we obtain 1-b = 0.73+0.10-0.11 with chi 2/dof = 5.2/5 at an effective redshift z eff 0.24. This measurement is consistent with recent weak-lensing calibrations of SZ-selected clusters and supports the picture that significant mass bias corrections are required to reconcile cluster abundance measurements with primary cosmic microwave background constraints on cosmological parameters.
Sources
- The Most Massive Distant Clusters: Determining Omega and sigma_8
- The Mass Function of an X-Ray Flux-Limited Sample of Galaxy Clusters
- Tracing cosmic evolution with clusters of galaxies
- Cosmological Parameters from Observations of Galaxy Clusters
- Formation of Galaxy Clusters
- The XXL Survey. II. The bright cluster sample: catalogue and luminosity function
- Hundreds of weak lensing shear-selected clusters from the Hyper Suprime-Cam Subaru Strategic Program S19A data
- A large sample of shear selected clusters from the Hyper Suprime-Cam Subaru Strategic Program S16A wide field mass maps
- An optically-selected cluster catalog at redshift 0.1<z<1.1 from the Hyper Suprime-Cam Subaru Strategic Program S16A data
- A cluster finding algorithm based on the multiband identification of red sequence galaxies
- redMaPPer I: Algorithm and SDSS DR8 Catalog
- The Atacama Cosmology Telescope: The polarization-sensitive ACTPol instrument
- Planck 2015 results. XXVII. The Second Planck Catalogue of Sunyaev-Zeldovich Sources
- Cluster Cosmology Constraints from the 2500 deg$^2$ SPT-SZ Survey: Inclusion of Weak Gravitational Lensing Data from Magellan and the Hubble Space Telescope
- The Atacama Cosmology Telescope: A Catalog of > 4000 Sunyaev-Zel'dovich Galaxy Clusters
- The Atacama Cosmology Telescope: DR6 Sunyaev-Zel'dovich Selected Galaxy Clusters Catalog
- Lensing and X-ray mass estimates of clusters (SIMULATION)
- Subaru weak-lensing measurement of a z = 0.81 cluster discovered by the Atacama Cosmology Telescope Survey
- The Tau of Galaxy Clusters
- Weak-Lensing Mass Calibration of ACTPol Sunyaev-Zel'dovich Clusters with the Hyper Suprime-Cam Survey
Related papers
- Angular clustering and bias of photometric quasars in the Kilo-Degree Survey Data Release 4
- A Novel kinetic Sunyaev-Zel'dovich Estimator for Electron-Electron Correlations
- Magnetic fields at the dawn of structure formation I. The CARLA J1510+5958 proto-cluster
- Dark Energy Survey Year 6 Results: Weak Lensing and Galaxy Clustering Cosmological Analysis Framework
- Exploring the Impact of Systematic Bias in Type Ia Supernova Cosmology Across Diverse Dark Energy Parametrizations
- Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation