Probing Cosmology and Cluster Astrophysics with Multi-Wavelength Surveys I. Correlation Statistics
Masato Shirasaki, Erwin T. Lau, Daisuke Nagai

TL;DR
This paper presents a theoretical framework for analyzing multi-wavelength cluster survey data, demonstrating how correlation statistics among tSZ, X-ray, and lensing observables can improve constraints on cosmology and cluster physics.
Contribution
It introduces a semi-analytic model to predict and interpret correlation statistics among multiple observables, enhancing the analysis of upcoming multi-wavelength surveys.
Findings
Correlation statistics can break degeneracies between cosmology and ICM physics.
These statistics are less sensitive to selection biases.
They provide competitive cosmological constraints while probing cluster astrophysics.
Abstract
Upcoming multi-wavelength astronomical surveys will soon discover all massive galaxy clusters and provide unprecedented constraints on cosmology and cluster astrophysics. In this paper, we investigate the constraining power of the multi-band cluster surveys, through a joint analysis of three observables associated with clusters of galaxies, including thermal Sunyaev-Zel'dovich (tSZ) effect in cosmic microwave background (CMB), X-ray emission of ionized gas, and gravitational weak lensing effect of background galaxies by the cluster's gravitational potential. We develop a theoretical framework to predict and interpret two-point correlation statistics among the three observables using a semi-analytic model of intracluster medium (ICM) and halo-based approach. In this work, we show that the auto- and cross-angular power spectra in tSZ, X-ray and lensing statistics from upcoming missions…
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