Physical Bayesian modelling of the non-linear matter distribution: new insights into the Nearby Universe

Abstract

Accurate analyses of present and next-generation galaxy surveys require new ways to handle effects of non-linear gravitational structure formation in data. To address these needs we present an extension of our previously developed algorithm for Bayesian Origin Reconstruction from Galaxies to analyse matter clustering at non-linear scales in observations. This is achieved by incorporating a numerical particle mesh model of structure formation into our Bayesian inference framework. The algorithm simultaneously infers the 3D primordial matter fluctuations from which present non-linear observations formed and provides reconstructions of velocity fields and structure formation histories. The physical forward modelling approach automatically accounts for non-Gaussian features in evolved matter density fields and addresses the redshift space distortion problem associated with peculiar motions of galaxies. Our algorithm employs a hierarchical Bayes approach to jointly account for observational effects, such as galaxy biases, selection effects, and noise. Corresponding parameters are marginalized out via a sophisticated Markov Chain Monte Carlo approach relying on a combination of a multiple block sampling framework and a Hamiltonian Monte Carlo sampler. We demonstrate the performance of the method by applying it to the 2M++ galaxy compilation, tracing the matter distribution of the Nearby Universe. We show accurate and detailed inferences of the 3D non-linear dark matter distribution of the Nearby Universe. As exemplified in the case of the Coma cluster, we provide mass estimates that are compatible with those obtained from weak lensing and X-ray observations. For the first time, we reconstruct the vorticity of the non-linear velocity field from observations. In summary, our method provides plausible and detailed inferences of dark matter and velocity fields of our cosmic neighbourhood.

33 pages, 17 figures

References in corpus (25)

• Measuring the Baryon Acoustic Oscillation scale using the SDSS and 2dFGRS
• The trouble with $H_0$
• Cosmological parameters from the comparison of peculiar velocities with predictions from the 2M++ density field
• Prospects for resolving the Hubble constant tension with standard sirens
• ELUCID - Exploring the Local Universe with reConstructed Initial Density field I: Hamiltonian Markov Chain Monte Carlo Method with Particle Mesh Dynamics
• Nonlinear Perturbation Theory Integrated with Nonlocal Bias, Redshift-space Distortions, and Primordial Non-Gaussianity
• Bayesian reconstruction of the cosmological large-scale structure: methodology, inverse algorithms and numerical optimization
• Sample variance in the local measurements of the Hubble constant
• The alignment of satellite galaxies and cosmic filaments: observations and simulations
• Bayesian inference of cosmic density fields from non-linear, scale-dependent, and stochastic biased tracers
• Efficient Wiener filtering without preconditioning
• Exploiting the full potential of photometric quasar surveys: Optimal power spectra through blind mitigation of systematics
• Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey
• Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys
• Non-detection of a statistically anisotropic power spectrum in large-scale structure
• Detecting Galaxy-Filament Alignments in the Sloan Digital Sky Survey III
• Dark matter voids in the SDSS galaxy survey
• New method for initial density reconstruction
• Observational biases in Lagrangian reconstructions of cosmic velocity fields
• The Fifth Force in the Local Cosmic Web
• The KBC Void: Consistency with Supernovae Type Ia and the Kinematic SZ Effect in a $\Lambda$LTB Model
• The primordial magnetic field in our cosmic backyard
• Bayesian power-spectrum inference with foreground and target contamination treatment
• Uneven flows: On cosmic bulk flows, local observers, and gravity
• Lagrangian bias in the local bias model

Cited by in corpus (116)

• The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
• Large-scale dark matter simulations
• Cosmicflows-4
• A local resolution of the Hubble tension: The impact of screened fifth forces on the cosmic distance ladder
• Cosmic flows in the nearby Universe: new peculiar velocities from SNe and cosmological constraints
• GLADE+: An Extended Galaxy Catalogue for Multimessenger Searches with Advanced Gravitational-wave Detectors
• Velocity correction for Hubble constant measurements from standard sirens
• Observational evidence for a local underdensity in the Universe and its effect on the measurement of the Hubble Constant
• Super-resolution emulator of cosmological simulations using deep physical models
• Galaxy morphology rules out astrophysically relevant Hu-Sawicki $f(R)$ gravity
• Galaxy bias from forward models: linear and second-order bias of IllustrisTNG galaxies
• How much information can be extracted from galaxy clustering at the field level?
• Lifting weak lensing degeneracies with a field-based likelihood
• Persistent homology in cosmic shear: constraining parameters with topological data analysis
• Measuring the giant radio galaxy length distribution with the LoTSS
• Constrained realizations of 2MRS density and peculiar velocity fields: growth rate and local flow
• COSMIC BIRTH: Efficient Bayesian Inference of the Evolving Cosmic Web from Galaxy Surveys
• TARDIS Paper I: A Constrained Reconstruction Approach to Modeling the z~2.5 Cosmic Web Probed by Lyman-alpha Forest Tomography
• SIBELIUS-DARK: a galaxy catalogue of the Local Volume from a constrained realisation simulation
• Bayesian field-level inference of primordial non-Gaussianity using next-generation galaxy surveys
• Lossless, Scalable Implicit Likelihood Inference for Cosmological Fields
• Painting halos from cosmic density fields of dark matter with physically motivated neural networks
• Bayesian forward modelling of cosmic shear data
• Peculiar velocities in the local Universe: comparison of different models and the implications for $H_0$ and dark matter
• Consistency tests of field level inference with the EFT likelihood
• Inferring high redshift large-scale structure dynamics from the Lyman-alpha forest
• The Local Hole: a galaxy under-density covering 90% of sky to ~200 Mpc
• Measurements of the Hubble Constant with a Two Rung Distance Ladder: Two Out of Three Ain't Bad
• The SIBELIUS Project: E Pluribus Unum
• Simulating the LOcal Web (SLOW): I. Anomalies in the local density field
• Impacts of the physical data model on the forward inference of initial conditions from biased tracers
• BIRTH of the COSMOS Field: Primordial and Evolved Density Reconstructions During Cosmic High Noon
• Analytic Gaussian Covariance Matrices for Galaxy $N$-Point Correlation Functions
• Cosmology inference at the field level from biased tracers in redshift-space
• Neural physical engines for inferring the halo mass distribution function
• Hierarchical Bayesian inference of photometric redshifts with stellar population synthesis models
• Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators
• Taking measurements of the kinematic Sunyaev-Zel'dovich effect forward: including uncertainties from velocity reconstruction with forward modeling
• Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys
• Joint velocity and density reconstruction of the Universe with nonlinear differentiable forward modeling
• A hierarchical field-level inference approach to reconstruction from sparse Lyman-$\alpha$ forest data
• How to Build a Catalogue of Linearly-Evolving Cosmic Voids
• Field-level inference of galaxy intrinsic alignment from the SDSS-III BOSS survey
• Local Hole revisited: evidence for bulk motions and self-consistent outflow
• Constraints on galileons from the positions of supermassive black holes
• Hamiltonian Monte Carlo reconstruction from peculiar velocities
• Measuring the Hubble constant with kilonovae using the Expanding Photosphere Method
• Primordial power spectrum and cosmology from black-box galaxy surveys
• Differentiable Cosmological Simulation with Adjoint Method
• Towards Accurate Field-Level Inference of Massive Cosmic Structures
• Constraints on dark matter annihilation and decay from the large-scale structure of the nearby universe
• Simulating the LOcal Web (SLOW) II: Properties of local galaxy clusters
• Reconstructing dark matter distribution with peculiar velocities: Bayesian forward modelling with corrections for inhomogeneous Malmquist bias
• The effects of peculiar velocities in SN Ia environments on the local $H_0$ measurement
• Reconstructing the Universe with Variational self-Boosted Sampling
• Sensitivity reach of gamma-ray measurements for strong cosmological magnetic fields
• Biased tracer reconstruction with halo mass information
• Luminous giants populate the dense Cosmic Web: The radio luminosity-environmental density relation for radio galaxies in action
• Field-Based Physical Inference From Peculiar Velocity Tracers
• Constrained cosmological simulations of the Local Group using Bayesian hierarchical field-level inference
• Analysis of spin directions of galaxies in the DESI Legacy Survey
• Unveiling the largest structures in the nearby Universe: Discovery of the Quipu superstructure
• An intergalactic medium temperature from a giant radio galaxy
• Catalogues of voids as antihalos in the local Universe
• Neural network reconstruction of density and velocity fields from the 2MASS Redshift Survey
• Two per cent measurement of $H_0$ from Cepheids alone
• $\text{PineTree}$: A generative, fast, and differentiable halo model for wide-field galaxy surveys
• Fast likelihood-free inference in the LSS Stage IV era
• The large-scale environment of thermonuclear and core-collapse supernovae
• Measuring the BAO peak position with different galaxy selections
• Testing self-interacting dark matter with galaxy warps
• Constraints on Equivalence Principle Violation from Gamma Ray Bursts
• Galaxy flows within 8,000 km/s from Numerical Action methods
• Higher Order Hamiltonian Monte Carlo Sampling for Cosmological Large-Scale Structure Analysis
• Nonlinear Reconstruction of the Velocity Field
• Optimal machine-driven acquisition of future cosmological data
• A field-level emulator for modified gravity
• A Local Universe model for constrained simulations
• The effect of local universe constraints on halo abundance and clustering
• Filamentary Baryons and Where to Find Them: A forecast of synchrotron radiation from merger and accretion shocks in the local Cosmic Web
• ScamPy -- A sub-halo clustering & abundance matching based Python interface for painting galaxies on the dark matter halo/sub-halo hierarchy
• Evaluating the variance of individual halo properties in constrained cosmological simulations
• Testing the local supervoid solution to the Hubble tension with direct distance tracers
• Impact of our local environment on cosmological statistics
• Perturbation-theory informed integrators for cosmological simulations
• COmoving Computer Acceleration (COCA): $N$-body simulations in an emulated frame of reference
• Massive $\nu$s through the CNN lens: interpreting the field-level neutrino mass information in weak lensing
• Detectability of large correlation length inflationary magnetic field with Cherenkov telescopes
• The Velocity Field Olympics: Assessing velocity field reconstructions with direct distance tracers
• Field-level Reconstruction from Foreground-Contaminated 21-cm Maps
• The effect of environment on the mass assembly history of the Milky Way and M31
• Learning the Universe: Learning to Optimize Cosmic Initial Conditions with Non-Differentiable Structure Formation Models
• The Compressed 3D Lyman-Alpha Forest Bispectrum
• Field-Level Comparison and Robustness Analysis of Cosmological N-body Simulations
• Interpreting Cosmological Information from Neural Networks in the Hydrodynamic Universe
• The galaxy-environment connection revealed by constrained simulations
• Calculating the EFT likelihood via saddle-point expansion
• Gaussian Lagrangian Galaxy Bias
• Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density
• Using Elliptical Galaxy Kinematics to Compare of the Strength of Gravity in Cosmological Regions of Differing Gravitational Potential -- A First Look
• Precision calculation of the EFT likelihood with primordial non-Gaussianities
• AVISM: Algorithm for Void Identification in coSMology
• The mass distribution in and around the Local Group
• A Hamiltonian, post-Born, three-dimensional, on-the-fly ray tracing algorithm for gravitational lensing
• Benchmarking field-level cosmological inference from galaxy redshift surveys
• Predicting large scale cosmological structure evolution with generative adversarial network-based autoencoders
• Diagnosing Systematic Effects Using the Inferred Initial Power Spectrum
• An Anti-halo Void Catalogue of the Local Super-Volume
• Quantifying the Rarity of the Local Super-Volume
• $S_8$ from peculiar velocities: agreement with Planck for Tully--Fisher and supernovae, tension for the fundamental plane
• Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation
• An effective $\mathbf{\Lambda }$-Szekeres modelling of the local Universe with Cosmicflows-4
• Differentiable Fuzzy Cosmic-Web for Field Level Inference
• On the Connection between Field-Level Inference and $n$-point Correlation Functions
• ELUCID-DESI I: A Parallel MPI Implementation of the Initial Condition Solver for Large-Scale Reconstruction Simulations
• The Manticore Project II: Bayesian digital twins of cosmic structure across the SDSS and BOSS volumes