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Weak Lensing Peaks in Simulated Light-Cones: Investigating the Coupling between Dark Matter and Dark Energy

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arxiv 1801.01886 v3 pith:QHSZ2FSQ submitted 2018-01-05 astro-ph.CO

classification astro-ph.CO
keywords peaksdarkmodelsclusterscosmologicalcouplinglensingmodel
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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 $20\%$ with respect to the reference $\mathrm{\Lambda}$CDM model. We find that peak statistics can be used to distinguish a coupling DE model from a reference one with the same power spectrum normalisation. 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 seventy percent of the cluster population contributes to weak-lensing peaks with signal-to-noise ratios larger than two, and that the fraction of clusters in peaks approaches one-hundred percent for haloes with redshift z$\leq$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.

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Cited by 1 Pith paper

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  1. AMICO-WL: an optimal filtering algorithm for galaxy cluster detections with weak lensing

    astro-ph.CO 2025-01 conditional novelty 6.0 of 10

    AMICO-WL is a weak-lensing cluster finder whose foreground-removal mode roughly doubles completeness at 70% purity on Euclid-like mocks, from 6.5% to 13.0%.

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