Towards unveiling the large-scale nature of gravity with the wavelet scattering transform
arXiv:2407.18647 · doi:10.1088/1475-7516/2024/11/061
Abstract
We present the first application of the Wavelet Scattering Transform (WST) in order to constrain the nature of gravity using the three-dimensional (3D) large-scale structure of the universe. Utilizing the Quijote-MG N-body simulations, we can reliably model the 3D matter overdensity field for the f(R) Hu-Sawicki modified gravity (MG) model down to h/Mpc. Combining these simulations with the Quijote CDM collection, we then conduct a Fisher forecast of the marginalized constraints obtained on gravity using the WST coefficients and the matter power spectrum at redshift z=0. Our results demonstrate that the WST substantially improves upon the 1 error obtained on the parameter that captures deviations from standard General Relativity (GR), yielding a tenfold improvement compared to the corresponding matter power spectrum result. At the same time, the WST also enhances the precision on the CDM parameters and the sum of neutrino masses, by factors of 1.2-3.4 compared to the matter power spectrum, respectively. Despite the overall reduction in the WST performance when we focus on larger scales, it still provides a relatively tighter 1 error for the MG parameter at h/Mpc, highlighting its great sensitivity to the underlying gravity theory. This first proof-of-concept study reaffirms the constraining properties of the WST technique and paves the way for exciting future applications in order to perform precise large-scale tests of gravity with the new generation of cutting-edge cosmological data.
19 pages, 15 figures, 1 table
References in corpus (77)
- Dynamics of dark energy
- Models of f(R) Cosmic Acceleration that Evade Solar-System Tests
- The DESI Experiment Part I: Science,Targeting, and Survey Design
- DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations
- Massive neutrinos and cosmology
- Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix
- Environmental Dependence of Masses and Coupling Constants
- The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations
- DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest
- AbacusSummit: A Massive Set of High-Accuracy, High-Resolution -Body Simulations
- Cosmology with the SPHEREX All-Sky Spectral Survey
- DESI 2024: Reconstructing Dark Energy using Crossing Statistics with DESI DR1 BAO data
- A new approach to observational cosmology using the scattering transform
- Towards an Optimal Estimation of Cosmological Parameters with the Wavelet Scattering Transform
- Nearest Neighbor distributions: new statistical measures for cosmological clustering
- Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure
- Constraining chameleon models with cosmology
- On the assumption of Gaussianity for cosmological two-point statistics and parameter dependent covariance matrices
- Dark Energy Survey Year 3 Results: Covariance Modelling and its Impact on Parameter Estimation and Quality of Fit
- New Interpretable Statistics for Large Scale Structure Analysis and Generation
- A marked correlation function for constraining modified gravity models
- Detecting Neutrino Mass by Combining Matter Clustering, Halos, and Voids
- Near optimal bispectrum estimators for large-scale structure
- Testing the theory of gravity with DESI: estimators, predictions and simulation requirements
- The GIGANTES dataset: precision cosmology from voids in the machine learning era
- Theories of Dark Energy with Screening Mechanisms
- Galaxy morphology rules out astrophysically relevant Hu-Sawicki gravity
- Weak lensing scattering transform: dark energy and neutrino mass sensitivity
- Redshift-space distortions with split densities
- Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics
- Going Beyond the Galaxy Power Spectrum: an Analysis of BOSS Data with Wavelet Scattering Transforms
- Matter Power Spectrum Emulator for f(R) Modified Gravity Cosmologies
- How much information can be extracted from galaxy clustering at the field level?
- Cosmological Constraints on Light (but Massive) Relics
- Cosmological cross-correlations and nearest neighbor distributions
- Cosmic voids: a novel probe to shed light on our Universe
- Cosmological Information in the Marked Power Spectrum of the Galaxy Field
- Large Synoptic Survey Telescope: Dark Energy Science Collaboration
- Robust Field-level Likelihood-free Inference with Galaxies
- Classification of Magnetohydrodynamic Simulations using Wavelet Scattering Transforms
- Statistical description of dust polarized emission from the diffuse interstellar medium -- A RWST approach
- Exploring the cosmic 21-cm signal from the Epoch of Reionisation using the Wavelet Scattering Transform
- Neutrino Mass from Cosmology: Probing Physics Beyond the Standard Model
- Beware of Fake s: The Effect of Massive Neutrinos on the Nonlinear Evolution of Cosmic Structure
- Precise Cosmological Constraints from BOSS Galaxy Clustering with a Simulation-Based Emulator of the Wavelet Scattering Transform
- Galaxy Clustering Analysis with SimBIG and the Wavelet Scattering Transform
- Beyond delta: Tailoring marked statistics to reveal modified gravity
- New probe of departures from general relativity using Minkowski functionals
- Cosmology with cosmic web environments I. Real-space power spectra
- Information escaping the correlation hierarchy of the convergence field in the study of cosmological parameters
- Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope
- Precise and Accurate Cosmology with CMBxLSS Power Spectra and Bispectra
- Cosmological Information in Skew Spectra of Biased Tracers in Redshift Space
- Finding eV-scale Light Relics with Cosmological Observables
- : Fast, approximate simulations of structure formation in Horndeski gravity
- Wavelet Moments for Cosmological Parameter Estimation
- Redshift space power spectrum beyond Einstein-de Sitter kernels
- A First Detection of the Connected 4-Point Correlation Function of Galaxies Using the BOSS CMASS Sample
- Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction
- Convolution Lagrangian perturbation theory for biased tracers beyond general relativity
- How to quantify fields or textures? A guide to the scattering transform
- Probing massive neutrinos with the Minkowski functionals of the galaxy distribution
- A comparative study of cosmological constraints from weak lensing using Convolutional Neural Networks
- The position-dependent matter density probability distribution function
- Full forward model of galaxy clustering statistics with AbacusSummit lightcones
- Constraints on and nDGP Modified Gravity Model Parameters with Cluster Abundances and Galaxy Clustering
- Cosmology with Persistent Homology: a Fisher Forecast
- fkPT: Constraining scale-dependent modified gravity with the full-shape galaxy power spectrum
- Quantification of high dimensional non-Gaussianities and its implication to Fisher analysis in cosmology
- Accurate Computation of the Screening of Scalar Fifth Forces in Galaxies
- Exploration of 3D wavelet scattering transform coefficients for line-intensity mapping measurements
- Skewing the CMBLSS: a Fast Method for Bispectrum Analysis
- FREmu: Power Spectrum Emulator for Gravity
- A new test of gravity -- II: Application of marked correlation functions to luminous red galaxy samples
- {\sc SimBIG}: Cosmological Constraints using Simulation-Based Inference of Galaxy Clustering with Marked Power Spectra
- PolyBin3D: A Suite of Optimal and Efficient Power Spectrum and Bispectrum Estimators for Large-Scale Structure
- Fisher's Mirage: Noise Tightening of Cosmological Constraints in Simulation-Based Inference
Cited by in corpus (3)
- Interpretable and physics-informed emulator for the linear matter power spectrum from machine learning
- Constraining Power of Wavelet vs. Power Spectrum Statistics for CMB Lensing and Weak Lensing with Learned Binning
- Marked statistics across the cosmic web: Environmental dependent clustering in modified gravity simulations