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|Title:||Weak-lensing peaks in simulated light cones: investigating the coupling between dark matter and dark energy||Authors:||GIOCOLI, CARLO
Metcalf, Robert B.
|Issue Date:||2018||Journal:||MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY||Number:||478||Issue:||4||First Page:||5436||Abstract:||In this paper, we study the statistical properties of weak-lensing peaks in light cones generated from cosmological simulations. In order to assess the prospects of such observable as a cosmological probe, we consider simulations that include interacting Dark Energy (hereafter DE) models with coupling term between DE and Dark Matter. Cosmological models that produce a larger population of massive clusters have more numerous high signal-to-noise peaks; among models with comparable numbers of clusters those with more concentrated haloes produce more peaks. The most extreme model under investigation shows a difference in peak counts of about 20 per cent with respect to the reference Λ cold dark matter model. We find that peak statistics can be used to distinguish a coupling DE model from a reference one with the same power spectrum normalization. The differences in the expansion history and the growth rate of structure formation are reflected in their halo counts, non-linear scale features and, through them, in the properties of the lensing peaks. For a source redshift distribution consistent with the expectations of future space-based wide field surveys, we find that typically 70 per cent of the cluster population contributes to weak-lensing peaks with signal-to-noise ratios larger than 2, and that the fraction of clusters in peaks approaches 100 per cent for haloes with redshift z ⩽ 0.5. Our analysis demonstrates that peak statistics are an important tool for disentangling DE models by accurately tracing the structure formation processes as a function of the cosmic time.||URI:||http://hdl.handle.net/20.500.12386/30417||URL:||https://academic.oup.com/mnras/article/478/4/5436/4999637||ISSN:||0035-8711||DOI:||10.1093/mnras/sty1312||Bibcode ADS:||2018MNRAS.478.5436G||Fulltext:||open|
|Appears in Collections:||1.01 Articoli in rivista|
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|1801.01886.pdf||preprint||4.13 MB||Adobe PDF||View/Open|
|sty1312.pdf||Pdf editoriale||6.9 MB||Adobe PDF||View/Open|
checked on Jun 15, 2021
checked on Jun 15, 2021
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