Probing Cosmology with Weak Lensing Minkowski Functionals
arXiv:1109.6334 · doi:10.1103/PhysRevD.85.103513
Abstract
In this paper, we show that Minkowski Functionals (MFs) of weak gravitational lensing (WL) convergence maps contain significant non-Gaussian, cosmology-dependent information. To do this, we use a large suite of cosmological ray-tracing N-body simulations to create mock WL convergence maps, and study the cosmological information content of MFs derived from these maps. Our suite consists of 80 independent 512^3 N-body runs, covering seven different cosmologies, varying three cosmological parameters Omega_m, w, and sigma_8 one at a time, around a fiducial LambdaCDM model. In each cosmology, we use ray-tracing to create a thousand pseudo-independent 12 deg^2 convergence maps, and use these in a Monte Carlo procedure to estimate the joint confidence contours on the above three parameters. We include redshift tomography at three different source redshifts z_s=1, 1.5, 2, explore five different smoothing scales theta_G=1, 2, 3, 5, 10 arcmin, and explicitly compare and combine the MFs with the WL power spectrum. We find that the MFs capture a substantial amount of information from non-Gaussian features of convergence maps, i.e. beyond the power spectrum. The MFs are particularly well suited to break degeneracies and to constrain the dark energy equation of state parameter w (by a factor of ~ three better than from the power spectrum alone). The non-Gaussian information derives partly from the one-point function of the convergence (through V_0, the "area" MF), and partly through non-linear spatial information (through combining different smoothing scales for V_0, and through V_1 and V_2, the boundary length and genus MFs, respectively). In contrast to the power spectrum, the best constraints from the MFs are obtained only when multiple smoothing scales are combined.
19 pages, 9 figures, 5 tables
References in corpus (13)
- Wilkinson Microwave Anisotropy Probe (WMAP) Three Year Results: Implications for Cosmology
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Interpretation
- The Cosmic Evolution Survey (COSMOS) -- Overview
- Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix
- The effects of galaxy formation on the matter power spectrum: A challenge for precision cosmology
- Quantifying the effect of baryon physics on weak lensing tomography
- Cosmology and the Bispectrum
- Limits on Primordial Non-Gaussianity from Minkowski Functionals of the WMAP Temperature Anisotropies
- Cosmological Information in Weak Lensing Peaks
- Analytic Minkowski Functionals of the Cosmic Microwave Background: Second-order Non-Gaussianity with Bispectrum and Trispectrum
- From Weak Lensing to non-Gaussianity via Minkowski Functionals
- Distance, Growth Factor, and Dark Energy Constraints from Photometric Baryon Acoustic Oscillation and Weak Lensing Measurements
- Controlling intrinsic-shear alignment in three-point weak lensing statistics
Cited by in corpus (86)
- CosmoLike - Cosmological Likelihood Analyses for Photometric Galaxy Surveys
- Galaxy alignments: Observations and impact on cosmology
- 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
- Growth of Cosmic Structure: Probing Dark Energy Beyond Expansion
- A new approach to observational cosmology using the scattering transform
- Non-Gaussian information from weak lensing data via deep learning
- 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
- Weak lensing cosmology with convolutional neural networks on noisy data
- Dark Energy Survey Year 3 results: curved-sky weak lensing mass map reconstruction
- Cosmology with Minkowski functionals and moments of the weak lensing convergence field
- Constraining neutrino mass with tomographic weak lensing one-point probability distribution function and power spectrum
- Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps -- validation on simulations
- Cosmological Forecast for non-Gaussian Statistics in large-scale weak Lensing Surveys
- Constraining neutrino mass with weak lensing Minkowski Functionals
- Statistical and Systematic Errors in Measurement of Weak-Lensing Minkowski Functionals: Application to Canada-France-Hawaii Lensing Survey
- Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics
- Impact of Baryonic Processes on Weak Lensing Cosmology: Power Spectrum, Non-Local Statistics, and Parameter Bias
- Baryon impact on weak lensing peaks and power spectrum: low-bias statistics and self-calibration in future surveys
- Direct Minkowski Functional analysis of large redshift surveys: a new high--speed code tested on the luminous red galaxy Sloan Digital Sky Survey-DR7 catalogue
- CMB Lensing Beyond the Power Spectrum: Cosmological Constraints from the One-Point PDF and Peak Counts
- Mitigating contamination in LSS surveys: a comparison of methods
- Sample variance in weak lensing: how many simulations are required?
- The Impact of Magnification and Size Bias on Weak Lensing Power Spectrum and Peak Statistics
- Weak Lensing Minima and Peaks: Cosmological Constraints and the Impact of Baryons
- On the dissection of degenerate cosmologies with machine learning
- Denoising Weak Lensing Mass Maps with Deep Learning
- Probing dark energy with tomographic weak-lensing aperture mass statistics
- The MillenniumTNG Project: The impact of baryons and massive neutrinos on high-resolution weak gravitational lensing convergence maps
- CosmoGridV1: a simulated CDM theory prediction for map-level cosmological inference
- The imprint of gravity on weak gravitational lensing II : Information content in cosmic shear statistics
- Do dark matter halos explain lensing peaks?
- New probe of departures from general relativity using Minkowski functionals
- Minkowski Functionals of Convergence Maps and the Lensing Figure of Merit
- Cosmological constraints from HSC survey first-year data using deep learning
- Simultaneously constraining cosmology and baryonic physics via deep learning from weak lensing
- Cosmology with photometric weak lensing surveys: constraints with redshift tomography of convergence peaks and moments
- Starlet l1-norm for weak lensing cosmology
- Weak lensing mass reconstruction using sparsity and a Gaussian random field
- Weakly non-Gaussian formula for the Minkowski functionals in general dimensions
- KaRMMa -- Kappa Reconstruction for Mass Mapping
- Neutrino effects on the morphology of cosmic large-scale structure
- Probing massive neutrinos with the Minkowski functionals of large-scale structure
- Distinguishing general relativity and gravity with the gravitational lensing Minkowski functionals
- Effect of Measurement Errors on Predicted Cosmological Constraints from Shear Peak Statistics with LSST
- Enhancing cosmic shear with the multi-scale lensing PDF
- Probing massive neutrinos with the Minkowski functionals of the galaxy distribution
- The matter density PDF for modified gravity and dark energy with Large Deviations Theory
- Towards a full CDM map-based analysis for weak lensing surveys
- A comparative study of cosmological constraints from weak lensing using Convolutional Neural Networks
- Probing Primordial Non-Gaussianity with Weak Lensing Minkowski Functionals
- Minkowski Functionals in Joint Galaxy Clustering & Weak Lensing Analyses
- Effect of Mask Regions on Weak Lensing Statistics
- The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: higher-order correlations revealed by germ-grain Minkowski Functionals
- Geometry and growth contributions to cosmic shear observables
- Tomographic local 2D analyses of the WISExSuperCOSMOS all-sky galaxy catalogue
- Mapping dark matter on the celestial sphere with weak gravitational lensing
- A roadmap to cosmological parameter analysis with third-order shear statistics III: Efficient estimation of third-order shear correlation functions and an application to the KiDS-1000 data
- Cosmological constraints using Minkowski functionals from the first year data of the Hyper Suprime-Cam
- The FLAMINGO project: Baryonic impact on weak gravitational lensing convergence peak counts
- Comparing weak lensing peak counts in baryonic correction models to hydrodynamical simulations
- Optimal void finders in weak lensing maps
- UNIONS: The impact of systematic errors on weak-lensing peak counts
- The impact of spurious shear on cosmological parameter estimates from weak lensing observables
- Forecasting the power of Higher Order Weak Lensing Statistics with automatically differentiable simulations
- Cosmological Constraints from Weak Lensing Peaks: Can Halo Models Accurately Predict Peak Counts?
- Bayesian deep learning for cosmic volumes with modified gravity
- Starlet higher order statistics for galaxy clustering and weak lensing
- Stage IV baryonic feedback correction for non-Gaussianity inference
- Accurate Kappa Reconstruction Algorithm for masked shear catalog (AKRA)
- Masked areas in shear peak statistics: a forward modeling approach
- Constraining cosmology with thermal Sunyaev-Zel'dovich maps: Minkowski functionals, peaks, minima, and moments
- Reconstruction of weak lensing mass maps for non-Gaussian studies in the celestial sphere
- AKRA 2.0: Accurate Kappa Reconstruction Algorithm for masked shear catalog
- Large-scale geometry and topology of gas fields: Effects of AGN and stellar feedback
- Cosmological constraints from HSC Y1 lensing convergence PDF
- Weak lensing peak statistics -- steepness versus height
- Numerical investigation of non-Gaussianities in the phase and modulus of density Fourier modes
- Neural style transfer of weak lensing mass maps
- Non-Gaussian statistics in galaxy weak lensing: compressed three-point correlations and cosmological forecasts
- Impact of weak-lensing mass-mapping algorithms on cosmology inference
- Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps
- Generative modeling of convergence maps based on predicted one-point statistics
- Replicating weak-lensing summary-statistic covariances with normalizing flows
- Skew-spectra: a generalization to spin-