@article{003fed7c47c744c5bfb7cfa636902952,
title = "Joint cosmology and mass calibration from thermal Sunyaev-Zel'dovich cluster counts and cosmic shear",
abstract = "We present a new method for joint cosmological parameter inference and cluster mass calibration from a combination of weak lensing measurements and the abundance of thermal Sunyaev-Zel'dovich (tSZ) selected galaxy clusters. We combine cluster counts with the spherical harmonic cosmic shear power spectrum and the cross-correlation between cluster overdensity and cosmic shear. These correlations constrain the cluster mass-observable relation. We model the observables using a halo model framework, including their full non-Gaussian covariance. Forecasting constraints on cosmological and mass calibration parameters for a combination of LSST cosmic shear and Simons Observatory tSZ cluster counts, we find competitive constraints for cluster cosmology, with a factor of 2 improvement in the dark energy figure of merit compared to LSST cosmic shear alone. We find most of the mass calibration information will be in the large and intermediate scales of the cross-correlation between cluster overdensity and cosmic shear. Finally, we find broadly comparable constraints to traditional analyses based on calibrating masses using stacked cluster lensing measurements, with the benefit of consistently accounting for the correlations with cosmic shear.",
author = "Andrina Nicola and Jo Dunkley and Spergel, {David N.}",
note = "Funding Information: The analysis presented in this work shows that the cross-correlation method provides a promising and self-consistent way for jointly analyzing thermal Sunyaev-Zel{\textquoteright}dovich cluster counts and cosmic shear. This bodes well for paving the way for multiprobe analyses including tSZ cluster number counts and harnessing the full potential of galaxy clusters as a precision cosmological probe. ACKNOWLEDGMENTS We also thank Mat Madhavacheril and Colin Hill for comments on an earlier version of this manuscript. In addition, we thank Elisabeth Krause for helpful discussions regarding covariance matrices, Emmanuel Schaan for helpful discussions and for code comparison, as well as Oliver Philcox for helpful comments. We further thank the referee for very carefully reviewing our manuscript and for providing helpful comments, which helped us improve the quality and clarity of the paper. J. D. and A. N. acknowledge support from National Science Foundation Grant No. 1814971. The Flatiron Institute is supported by the Simons Foundation. This is not an official SO Collaboration paper. The color palettes employed in this work are taken from http://colorpalettes.net . The contour plots have been created using corner.py . Publisher Copyright: {\textcopyright} 2020 American Physical Society.",
year = "2020",
month = oct,
doi = "10.1103/PhysRevD.102.083505",
language = "English (US)",
volume = "102",
journal = "Physical Review D",
issn = "2470-0010",
publisher = "American Physical Society",
number = "8",
}