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.

Weak-lensing peaks in simulated light cones: Investigating the coupling between dark matter and dark energy / Giocoli, Carlo; Moscardini, Lauro; Baldi, Marco; Meneghetti, Massimo; Metcalf, Robert B.. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - STAMPA. - 478:4(2018), pp. 5436-5448. [10.1093/mnras/sty1312]

Weak-lensing peaks in simulated light cones: Investigating the coupling between dark matter and dark energy

Giocoli, Carlo;Moscardini, Lauro;Baldi, Marco;MENEGHETTI, MASSIMO;Metcalf, Robert B.
2018

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.
2018
Weak-lensing peaks in simulated light cones: Investigating the coupling between dark matter and dark energy / Giocoli, Carlo; Moscardini, Lauro; Baldi, Marco; Meneghetti, Massimo; Metcalf, Robert B.. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - STAMPA. - 478:4(2018), pp. 5436-5448. [10.1093/mnras/sty1312]
Giocoli, Carlo; Moscardini, Lauro; Baldi, Marco; Meneghetti, Massimo; Metcalf, Robert B.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/640662
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