Super-sample covariance of the thermal Sunyaev-Zel'dovich effect

Abstract

The thermal Sunyaev-Zel'dovich (tSZ) effect is a powerful probe of cosmology. The statistical errors in the tSZ power spectrum measurements are dominated by the presence of massive clusters in a survey volume that are easy to identify on individual cluster basis. First, we study the impact of super sample covariance (SSC) on the tSZ power spectrum measurements, and find that the sample variance is dominated by the connected non-Gaussian (cNG) covariance arising mainly from Poisson number fluctuations of massive clusters in the survey volume. Second, we find that removing such individually-detected, massive clusters from the analysis significantly reduces the cNG contribution, thereby leading the SSC to be a leading source of the sample variance. We then show, based on Fisher analysis, that the power spectrum measured from the remaining diffuse tSZ effects can be used to obtain tight constraints on cosmological parameters as well as the hydrostatic mass bias parameter. Our method offers complementary use of individual tSZ cluster counts and the power spectrum measurements of diffuse tSZ signals for cosmology and intracluster gas physics.

15 pages, 9 figures, PRD in press

References in corpus (12)

• SPT-3G: A Next-Generation Cosmic Microwave Background Polarization Experiment on the South Pole Telescope
• A measurement of secondary cosmic microwave background anisotropies from the 2500-square-degree SPT-SZ survey
• Hydrodynamic Simulation of Non-thermal Pressure Profiles of Galaxy Clusters
• Probing dark energy with cluster counts and cosmic shear power spectra: including the full covariance
• The Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel'dovich effect
• Planck Sunyaev-Zel'dovich Cluster Mass Calibration using Hyper Suprime-Cam Weak Lensing
• Sharpening the Precision of the Sunyaev-Zel'dovich Power Spectrum
• Cosmological and Astrophysical Implications of the Sunyaev-Zel'dovich Effect
• Joint likelihood function of cluster counts and $n$-point correlation functions: Improving their power through including halo sample variance
• Cross-correlation of the thermal Sunyaev-Zel'dovich effect and weak gravitational lensing: Planck and Subaru Hyper Suprime-Cam first-year data
• Investigating Cluster Astrophysics and Cosmology with Cross-Correlation of the Thermal Sunyaev-Zel'dovich Effect and Weak Lensing
• An optimal survey geometry of weak lensing survey: minimizing super-sample covariance

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• Cross-correlation of DES Y3 lensing and ACT/$Planck$ thermal Sunyaev Zel'dovich Effect II: Modeling and constraints on halo pressure profiles
• Baryon Pasting Algorithm: Halo-based and Particle-based Pasting Methods
• Removing the giants and learning from the crowd: a new SZ power spectrum method and revised Compton $y$-map analysis
• Probing cosmology and gastrophysics with fast radio bursts: Cross-correlations of dark matter haloes and cosmic dispersion measures
• Cosmology from weak lensing, galaxy clustering, CMB lensing and tSZ: I. 10x2pt Modelling Methodology
• Cosmic star formation history with tomographic cosmic infrared background-galaxy cross-correlation
• Cosmology and Astrophysics with the Diffuse eRASS1 X-ray Angular Power Spectrum
• Constraining cosmology with thermal Sunyaev-Zel'dovich maps: Minkowski functionals, peaks, minima, and moments
• Testing the thermal Sunyaev-Zel'dovich power spectrum of a halo model using hydrodynamical simulations