The Weak Lensing Peak Statistics in the Mocks by the inverse-Gaussianization Method

Abstract

We apply the inverse-Gaussianization method proposed in \citealt{arXiv:1607.05007} to fast produce weak lensing convergence maps and investigate the peak statistics, including the peak height counts and peak steepness counts, in these mocks. We find that the distribution of peak height and steepness is in good agreement with the simulation. The difference is $\lesssim 20\%$ for these peak statistics in the maps at source redshift $z_s=1$. Besides, the loss of off-diagonal elements in peak covariance motivates us to consider the super sample variance in weak lensing peak statistics. We propose correction methods to effectively recover the (anti-)correlation among different bins by adding scatters in the mean value of these mocks. Finally, as an example of the application, we adopt the improved inverse-Gaussianization method with the above improvement to fast generate 40,000 mocks to calculate precision matrices between the power spectrum and peak statistics.

References in corpus (62)

• The cosmological simulation code GADGET-2
• Weak Gravitational Lensing
• Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
• The Dark Energy Survey: more than dark energy - an overview
• KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing
• Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear
• First Data Release of the Hyper Suprime-Cam Subaru Strategic Program
• Cosmology with cosmic shear observations: a review
• Probing the Universe with Weak Lensing
• Very weak lensing in the CFHTLS Wide: Cosmology from cosmic shear in the linear regime
• The Skewness of the Aperture Mass Statistic
• Cosmology with Weak Lensing Surveys
• The first and second data releases of the Kilo-Degree Survey
• The Clustering of Galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Including covariance matrix errors
• Power Spectrum Correlations Induced by Non-Linear Clustering
• Putting the Precision in Precision Cosmology: How accurate should your data covariance matrix be?
• The Effect of Covariance Estimator Error on Cosmological Parameter Constraints
• KiDS-450: The tomographic weak lensing power spectrum and constraints on cosmological parameters
• EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics
• Cosmology with the shear-peak statistics
• The Impact of Non-Gaussian Errors on Weak Lensing Surveys
• CFHTLenS: Cosmological constraints from a combination of cosmic shear two-point and three-point correlations
• Cosmic Shear Analysis with CFHTLS Deep data
• Searching for massive clusters in weak lensing surveys
• Cosmology Constraints from the Weak Lensing Peak Counts and the Power Spectrum in CFHTLenS
• Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data
• CFHTLenS: Mapping the Large Scale Structure with Gravitational Lensing
• KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics - II: Inference from Shear Peaks using N-body Simulations
• Probing Cosmology with Weak Lensing Peak Counts
• KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics-I: Inference from Analytical Prediction of High Signal-to-Noise Ratio Convergence Peaks
• CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
• Emulating the CFHTLenS Weak Lensing data: Cosmological Constraints from moments and Minkowski functionals
• Cosmological Constraints From Weak Lensing Peak Statistics With CFHT Stripe 82 Survey
• Cosmological Information in Weak Lensing Peaks
• Comparing approximate methods for mock catalogues and covariance matrices II: Power spectrum multipoles
• Comparing approximate methods for mock catalogues and covariance matrices I: correlation function
• Constraining $f(R)$ Gravity Theory Using Weak Lensing Peak Statistics from the Canada-France-Hawaii-Telescope Lensing Survey
• Noisy weak-lensing convergence peak statistics near clusters of galaxies and beyond
• Comparing approximate methods for mock catalogues and covariance matrices III: Bispectrum
• A new model to predict weak-lensing peak counts I. Comparison with $N$-body Simulations
• A new model to predict weak-lensing peak counts II. Parameter constraint strategies
• Cosmic variance of weak lensing surveys in the non-Gaussian regime
• Constraining Neutrino Mass with the Tomographic Weak Lensing Bispectrum
• Generating Log-normal Mock Catalog of Galaxies in Redshift Space
• Cosmological constraints with weak lensing peak counts and second-order statistics in a large-field survey
• The Origin of Weak Lensing Convergence Peaks
• Cosmological constraints from the capture of non-Gaussianity in Weak Lensing data
• Information Content in the Galaxy Angular Power Spectrum from the Sloan Digital Sky Survey and Its Implication on Weak Lensing Analysis
• Cosmological information in Gaussianised weak lensing signals
• ICE-COLA: fast simulations for weak lensing observables
• Optimal Weak Lensing Skewness Measurements
• Gaussianizing the non-Gaussian lensing convergence field I: the performance of the Gaussianization
• The Weak Lensing Bispectrum Induced By Gravity
• Weak Lensing Peaks in Simulated Light-Cones: Investigating the Coupling between Dark Matter and Dark Energy
• Dark Energy from the log-transformed convergence field
• Statistical connection of peak counts to power spectrum and moments in weak lensing field
• The Correspondence between Convergence Peaks from Weak Lensing and Massive Dark Matter Haloes
• Fast generation of weak lensing maps by the inverse-Gaussianization method
• Information Content in the Angular Power Spectrum of Weak Lensing: Wavelet Method
• Projection effects of large-scale structures on weak-lensing peak abundances
• Perturbative Gaussianizing transforms for cosmological fields
• Probabilistic Cosmological Mass Mapping from Weak Lensing Shear

Cited by in corpus (4)

• Galaxy Formation and Reionization: Key Unknowns and Expected Breakthroughs by the James Webb Space Telescope
• SMBH Seeds from Dissipative Dark Matter
• Minkowski Functionals of CMB polarisation intensity with Pynkowski: theory and application to Planck and future data
• Box Replication Effects in Weak Lensing Light-cone Construction