Unifying Sunyaev-Zel'dovich and X-ray predictions from clusters to galaxy groups: the impact of X-ray mass estimates on the scaling relation
arXiv:2205.11537
Abstract
One of the main limitations in precision cluster cosmology arises from systematic errors and uncertainties in estimating cluster masses. Using the Mock-X pipeline, we produce synthetic X-ray images and derive cluster and galaxy group X-ray properties for a sample of over 30,000 simulated galaxy groups and clusters with between and M in IllustrisTNG. We explore the similarities and differences between IllustrisTNG predictions of the Sunyaev-Zel'dovich and X-ray scaling relations with mass. We find a median hydrostatic mass bias for M. The bias increases to when masses are derived from synthetic X-ray observations. We model how different underlying assumptions about the dependence of on halo mass can generate biases in the observed scaling relation. In particular, the simplifying assumption that is self-similar at all mass scales largely hides the break in and overestimates at galaxy and groups scales. We show that calibrating the mass proxy using a new model for a smoothly broken power law reproduces the true underlying scaling relation with high accuracy. Moreover, estimates calibrated with this method lead to predictions that are not biased by the presence of lower mass clusters or galaxy groups in the sample. Finally, we show that our smoothly broken power law model provides a robust way to derive the mass proxy, significantly reducing the level of mass bias for clusters, groups, and galaxies.
12 pages, 5 figures; submitted to MNRAS. This is a companion paper to Pop et al. 2022: "Sunyaev-Zel'dovich effect and X-ray scaling relations of galaxies, groups and clusters in the IllustrisTNG simulations"