http://arxiv.org/abs/2205.11537
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 $M_{\rm 500crit}$ between $10^{12}$ and $2\times 10^{15}$ M${\odot}$ 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 $b = 0.125 \pm 0.003$ for $M{\rm 500crit}$ $>10^{13}$ M${\odot}$. The bias increases to $b = 0.17 \pm 0.004$ when masses are derived from synthetic X-ray observations. We model how different underlying assumptions about the dependence of $Y{\rm X}$ on halo mass can generate biases in the observed $Y_{\rm SZ} – M_{Y_{\rm X}}$ scaling relation. In particular, the simplifying assumption that $Y_{\rm X} – M_{\rm tot}$ is self-similar at all mass scales largely hides the break in $Y_{\rm SZ} – M_{\rm tot}$ and overestimates $Y_{\rm SZ}$ at galaxy and groups scales. We show that calibrating the $Y_{\rm X}-$mass proxy using a new model for a smoothly broken power law reproduces the true underlying $Y_{\rm SZ} – M_{\rm tot}$ scaling relation with high accuracy. Moreover, $M_{Y_{\rm X}}$ estimates calibrated with this method lead to $Y_{\rm SZ} – M_{Y_{\rm X}}$ 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 $Y_{\rm X}-$mass proxy, significantly reducing the level of mass bias for clusters, groups, and galaxies.
A. Pop, L. Hernquist, D. Nagai, et. al.
Wed, 25 May 22
2/56
Comments: 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”
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