The Hydrostatic Mass Bias and the Tension: A Multi-Probe Forecast for Stage-IV/V Surveys
arXiv:2602.19478 · doi:10.3847/1538-4357/ae6812
Abstract
The hydrostatic mass bias () is a leading systematic uncertainty in cluster cosmology and a principal source of degeneracy with and . We investigate the capability of Stage-IV CMB and optical surveys to calibrate using tomographic cross-correlations between the thermal Sunyaev--Zel'dovich (tSZ) effect, galaxy clustering, and weak lensing. We perform a Fisher forecast incorporating realistic survey noise, foreground modeling for clustered CIB and radio sources, and full marginalization over cosmological and astrophysical nuisance parameters, including per-bin galaxy bias perturbations, photometric redshift shifts, intrinsic alignments, and baryonic feedback modeled with HMCode2020. With optimized tomographic binning (10 lens and 5 source bins for LSST; 6 lens and 5 source bins for CSST), we forecast marginalized constraints of for SO+LSST, for CMB-S4+LSST, and for CMB-S4+CSST. Tomography improves precision by factors of approximately three relative to non-tomographic analyses, reflecting the role of redshift information in breaking the -- degeneracy. Optical-only probes provide no direct constraint on , whereas inclusion of tSZ-containing spectra enables percent-level calibration under realistic systematic assumptions. The results demonstrate that multi-probe tomographic analyses with Stage-IV surveys can achieve robust control of hydrostatic mass bias, strengthening cluster-based constraints on structure growth.
arXiv comment20 pages, 7 figures, 3 tables. Published in The Astrophysical Journal, 1004, 103 (2026). We have added useful citations in this version
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