Constraining Cluster Virialization Mechanism and Cosmology using Thermal-SZ-selected clusters from Future CMB Surveys
Abstract
We forecast the number of galaxy clusters that can be detected via the thermal Sunyaev-Zeldovich (tSZ) signals by future cosmic microwave background (CMB) experiments, primarily the wide area survey of the CMB-S4 experiment but also CMB-S4's smaller delensing survey and the proposed CMB-HD experiment. We predict that CMB-S4 will detect 75,000 clusters with its wide survey of = 50% and 14,000 clusters with its deep survey of = 3%. Of these, approximately 1350 clusters will be at , a regime that is difficult to probe by optical or X-ray surveys. We assume CMB-HD will survey the same sky as the S4-Wide{}, and find that CMB-HD will detect more overall and an order of magnitude more clusters than CMB-S4. These results include galactic and extragalactic foregrounds along with atmospheric and instrumental noise. Using CMB-cluster lensing to calibrate cluster tSZ-mass scaling relation, we combine cluster counts with primary CMB to obtain cosmological constraints for a two parameter extension of the standard model (). Besides constraining to , we find that both surveys can enable a detection of , substantially strengthening CMB-only constraints. We also study the evolution of intracluster medium by modelling the cluster virialization and find tight constraints from CMB-S4, with further factors of 3-4 improvement for CMB-HD. The binned cluster counts, Fisher matrices, and other associated products can be downloaded from https://github.com/sriniraghunathan/tSZ_cluster_forecasts.
Keywords
Cite
@article{arxiv.2107.10250,
title = {Constraining Cluster Virialization Mechanism and Cosmology using Thermal-SZ-selected clusters from Future CMB Surveys},
author = {Srinivasan Raghunathan and Nathan Whitehorn and Marcelo A. Alvarez and Han Aung and Nicholas Battaglia and Gilbert P. Holder and Daisuke Nagai and Elena Pierpaoli and Christian L. Reichardt and Joaquin D. Vieira},
journal= {arXiv preprint arXiv:2107.10250},
year = {2022}
}
Comments
25 pages, 12 figures, 4 tables; addressed minor comments from the reviewer; accepted for publication in ApJ; results can be download from https://github.com/sriniraghunathan/tSZ_cluster_forecasts