Cross-correlating the Thermal Sunyaev-Zel'dovich Effect and the Distribution of Galaxy Clusters
Wenjuan Fang, Kenji Kadota, Masahiro Takada

TL;DR
This paper develops analytical formulas based on the halo model to analyze the cross-correlation between the thermal Sunyaev-Zel'dovich effect and galaxy cluster distributions, enabling detection of SZ signals below individual detection thresholds.
Contribution
It introduces a method to compute the stacked SZ signal and its covariance, forecasting its detectability with upcoming CMB and optical surveys, and explores gas physics at cluster outskirts.
Findings
Stacked SZ signals can be detected with S/N > 10 across various masses and redshifts.
The stacking method probes SZ profiles out to the virial radius.
Forecasts indicate significant detection prospects with future surveys.
Abstract
We present the analytical formulas, derived based on the halo model, to compute the cross-correlation between the thermal Sunyaev-Zel'dovich (SZ) effect and the distribution of galaxy clusters. By binning the clusters according to their redshifts and masses, this cross-correlation, the so-called stacked SZ signal, reveals the average SZ profile around the clusters. The stacked SZ signal is obtainable from a joint analysis of an arcminute-resolution cosmic microwave background (CMB) experiment and an overlapping optical survey, which allows for detection of the SZ signals for clusters whose masses are below the individual cluster detection threshold. We derive the error covariance matrix for measuring the stacked SZ signal, and then forecast for its detection from ongoing and forthcoming combined CMB-optical surveys. We find that, over a wide range of mass and redshift, the stacked SZ…
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