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The density distributions of cosmic structures: impact of the local environment on weak-lensing convergence

Ema, SA, Hossen, MR, Bolejko, K ORCID: 0000-0001-7402-3836 and Lewis, GF 2021 , 'The density distributions of cosmic structures: impact of the local environment on weak-lensing convergence' , Monthly Notices of the Royal Astronomical Society, vol. 509 , pp. 3004-3014 , doi: 10.1093/mnras/stab3134.

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Abstract

Whilst the underlying assumption of the Friedman-Lemaître-Robertson-Walker (FLRW) cosmological model is that matter is homogeneously distributed throughout the universe, gravitational influences over the life of the universe have resulted in mass clustered on a range of scales. Hence we expect that, in our inhomogeneous Universe, the view of an observer will be influenced by the location and local environment. Here, we analyse the one-point probability distribution functions and angular power spectra of weak-lensing (WL) convergence and magnification numerically to investigate the influence of our local environment on WL statistics in relativistic N-body simulations. To achieve this, we numerically solve the null geodesic equations which describe the propagation of light bundles backwards in time from today, and develop a ray-tracing algorithm, and from these calculate various WL properties. Our findings demonstrate how cosmological observations of large-scale structure through WL can be impacted by the locality of the observer. We also calculate the constraints on the cosmological parameters as a function of redshift from the theoretical and numerical study of the angular power spectrum of WL convergence. This study concludes the minimal redshift for the constraint on the parameter Ωm (H0) is

Item Type: Article
Authors/Creators:Ema, SA and Hossen, MR and Bolejko, K and Lewis, GF
Keywords: gravitational lensing: weak – methods: numerical – dark matter – large-scale structure of Universe
Journal or Publication Title: Monthly Notices of the Royal Astronomical Society
Publisher: Blackwell Publishing Ltd
ISSN: 0035-8711
DOI / ID Number: 10.1093/mnras/stab3134
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