Do dark matter halos explain lensing peaks

  title={Do dark matter halos explain lensing peaks},
  author={Jos{\'e} Manuel Zorrilla Matilla and Zolt{\'a}n Haiman and Daniel J. Hsu and Arushi Gupta and Andrea Petri},
  journal={Physical Review D},
We have investigated a recently proposed halo-based model, Camelus, for predicting weak-lensing peak counts, and compared its results over a collection of 162 cosmologies with those from N-body simulations. While counts from both models agree for peaks with $\mathcal{S/N}>1$ (where $\mathcal{S/N}$ is the ratio of the peak height to the r.m.s. shape noise), we find $\approx 50\%$ fewer counts for peaks near $\mathcal{S/N}=0$ and significantly higher counts in the negative $\mathcal{S/N}$ tail… 

Cosmological constraints with weak-lensing peak counts and second-order statistics in a large-field survey

Peak statistics in weak lensing maps access the non-Gaussian information contained in the large-scale distribution of matter in the Universe. They are therefore a promising complement to two-point

The self-similarity of weak lensing peaks

We study the statistics of weak lensing convergence peaks, such as their abundance and two-point correlation function (2PCF), for a wide range of cosmological parameters Ωm and σ8 within the

Probing dark energy with tomographic weak-lensing aperture mass statistics

We forecast and optimize the cosmological power of various weak-lensing aperture mass (Map) map statistics for future cosmic shear surveys, including peaks, voids, and the full distribution of pixels

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

In this paper we study the statistical properties of weak lensing peaks in light-cones generated from numerical simulations. We focus on interacting Dark Energy cosmological models, characterised by

KiDS-450: cosmological constraints from weak-lensing peak statistics - II: Inference from shear peaks using N-body simulations

We study the statistics of peaks in a weak-lensing reconstructed mass map of the first 450 deg(2) of the Kilo Degree Survey (KiDS-450). The map is computed with aperture masses directly applied to

Optimizing Simulation Parameters for Weak Lensing Analyses Involving Non-Gaussian Observables

We performed a series of numerical experiments to quantify the sensitivity of the predictions for weak lensing statistics obtained in ray-tracing dark matter (DM)-only simulations, to two

Fast weak-lensing simulations with halo model

Full ray-tracing maps of gravitational lensing, constructed from N-Body simulations, represent a fundamental tool to interpret present and future weak lensing data. However the limitation of

The impact of photometric redshift errors on lensing statistics in ray-tracing simulations

Weak lensing surveys are reaching sensitivities at which uncertainties in the galaxy redshift distributions n(z) from photo-z errors degrade cosmological constraints. We use ray-tracing simulations

Statistical connection of peak counts to power spectrum and moments in weak-lensing field

The number density of local maxima of weak lensing field, referred to as weak-lensing peak counts, can be used as a cosmological probe. However, its relevant cosmological information is still

Non-Gaussian information from weak lensing data via deep learning

A two-dimensional convolutional neural network is trained and applied to simulated noiseless lensing maps to encode cosmological information not accessible to the power spectrum or even other, non-Gaussian statistics such as lensing peaks.