Super-cluster simulations: impact of baryons on the matter power spectrum and weak lensing forecasts for Super-CLASS
Aaron Peters, Michael L. Brown, Scott T. Kay, David J. Barnes

TL;DR
This study uses hydrodynamic and dark matter simulations to assess how baryons and super-cluster regions influence the matter power spectrum and weak lensing signals, with implications for the Super-CLASS survey's ability to detect cosmic shear.
Contribution
It provides new insights into the combined effects of baryonic physics and super-cluster selection on matter and shear power spectra, relevant for cosmological surveys.
Findings
Super-cluster regions have at least twice the matter power spectrum power of random regions.
Baryonic effects are weaker than selection effects on most scales.
Super-CLASS could detect cosmic shear with a significance of approximately 2.7 sigma.
Abstract
We use a combination of full hydrodynamic and dark matter only simulations to investigate the effect that baryonic physics and selecting super-cluster regions have on the matter power spectrum, by re-simulating a sample of super-cluster sub-volumes. On large scales we find that the matter power spectrum measured from our super-cluster sample has at least twice as much power as that measured from our random sample. Our investigation of the effect of baryonic physics on the matter power spectrum is found to be in agreement with previous studies and is weaker than the selection effect over the majority of scales. In addition, we investigate the effect of targeting a cosmologically non-representative, super-cluster region of the sky on the weak lensing shear power spectrum. We do this by generating shear and convergence maps using a line of sight integration technique, which intercepts our…
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