An Optimal and Model-Independent Measurement of the Intracluster Pressure Profile I: Methodology and First Applications
Siavash Aslanbeigi, Guilhem Lavaux, Amir Hajian, Niayesh Afshordi

TL;DR
This paper introduces a statistically optimal, model-independent method to measure the intracluster medium's pressure profile using the thermal Sunyaev-Zeldovich effect, applied to WMAP data, providing precise constraints on gas distribution.
Contribution
It develops a new method that optimally extracts the ICM pressure profile from CMB data without relying on specific models, improving measurement accuracy.
Findings
Constrained the universal pressure profile out to 4R_500 with 15-sigma confidence.
Measured the mean gas mass fraction out to R_200, consistent with cosmic baryon fraction.
Systematic uncertainties in cluster mass dominate the error budget.
Abstract
We present a statistically-optimal and model-independent method to extract the pressure profile of hot gas in the intracluster medium (ICM). Using the thermal Sunyaev-Zeldovich effect, we constrain the mean pressure profile of the ICM by appropriately considering all primary cosmic microwave background (CMB) and instrumental noise correlations, while using the maximum resolution and sensitivity of all frequency channels. As a first application, we analyze CMB maps of WMAP 9-year data through a study of the Meta-Catalogue of X-ray detected Clusters of galaxies (MCXC). We constrain the universal pressure profile out to 4R_500 with 15-sigma confidence, though our measurements are only significant out to R_200. Using a temperature profile constrained from X-ray observations, we measure the mean gas mass fraction out to R_200. Within statistical and systematic uncertainties, our constraints…
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