Sigma-Eight at the Percent Level: The EFT Likelihood in Real Space

Abstract

The effective field theory likelihood for the density field of biased tracers allows for cosmology inference from the clustering of galaxies that consistently uses all available information at a given order in perturbation theory. This paper presents results and implementation details on the real-space (as opposed to Fourier-space) formulation of the likelihood, which allows for the incorporation of survey window functions. The implementation further uses a Lagrangian forward model for biased tracers which automatically accounts for all relevant contributions up to any desired order. Unbiased inference of ${\sigma }_8$ is demonstrated at the 2% level for cutoff values $\Lambda \le 0.14h{\mathrm{Mpc}}^{-1}$ for halo samples over a range of masses and redshifts. The inferred value shows the expected convergence to the ground truth in the low-cutoff limit. Apart from the possibility of including observational effects, this represents further substantial improvement over previous results based on the EFT likelihood.

arXiv comment31 pages, 10 figures; results summarized in Fig. 5; v2: corrected and expanded discussion of cosmic variance; v3: minor edits and added references, reflects JCAP published version

References in corpus (51)

• The cosmological simulation code GADGET-2
• The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores
• Ahf: Amiga's Halo Finder
• Large-Scale Galaxy Bias
• Merger rates in hierarchical models of galaxy formation. II: Comparison with N-body simulations
• Cosmological Non-Linearities as an Effective Fluid
• The Effective Field Theory of Cosmological Large Scale Structures
• Improving Cosmological Distance Measurements by Reconstruction of the Baryon Acoustic Peak
• The evolution substructure I: a new identification method
• Bayesian physical reconstruction of initial conditions from large scale structure surveys
• Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering
• Biased Tracers and Time Evolution
• Large-scale Bias and Efficient Generation of Initial Conditions for Non-Local Primordial Non-Gaussianity
• Blinded challenge for precision cosmology with large-scale structure: results from effective field theory for the redshift-space galaxy power spectrum
• ELUCID - Exploring the Local Universe with reConstructed Initial Density field I: Hamiltonian Markov Chain Monte Carlo Method with Particle Mesh Dynamics
• Reconstructing Baryon Oscillations: A Lagrangian Theory Perspective
• ELUCID - Exploring the Local Universe with reConstructed Initial Density field III: Constrained Simulation in the SDSS Volume
• Modeling Biased Tracers at the Field Level
• Fast Hamiltonian sampling for large scale structure inference
• Bayesian power-spectrum inference for Large Scale Structure data
• Towards optimal extraction of cosmological information from nonlinear data
• Accurate initial conditions for cosmological N-body simulations: Minimizing truncation and discreteness errors
• Bayesian non-linear large scale structure inference of the Sloan Digital Sky Survey data release 7
• The Galaxy Power Spectrum and Bispectrum in Redshift Space
• The 2dF Galaxy Redshift Survey: Wiener Reconstruction of the Cosmic Web
• Wiener Reconstruction of Galaxy Surveys in Spherical Harmonics
• Recursive Solutions of Lagrangian Perturbation Theory
• Radiative Transfer Modeling of Lyman Alpha Emitters. II. New Effects in Galaxy Clustering
• Time-analyticity of Lagrangian particle trajectories in ideal fluid flow
• A rigorous EFT-based forward model for large-scale structure
• Recovering the nonlinear density field from the galaxy distribution with a Poisson-Lognormal filter
• Verifying the consistency relation for the scale-dependent bias from local primordial non-Gaussianity
• Optimizing large-scale structure data analysis with the theoretical error likelihood
• The recursion relation in Lagrangian perturbation theory
• Bayesian inference of cosmic density fields from non-linear, scale-dependent, and stochastic biased tracers
• Reconstructing large-scale structure with neutral hydrogen surveys
• Multiscale Inference of Matter Fields and Baryon Acoustic Oscillations from the Ly-alpha Forest
• GridSPT: Grid-based calculation for perturbation theory of large-scale structure
• Information content in the redshift-space galaxy power spectrum and bispectrum
• Unbiased Cosmology Inference from Biased Tracers using the EFT Likelihood
• On density and velocity fields and beta from the IRAS PSCz survey
• Cosmology Inference from Biased Tracers using the EFT-based Likelihood
• The EFT Likelihood for Large-Scale Structure
• Non-Gravitational Contributions to the Clustering of Ly-alpha Selected Galaxies: Implications for Cosmological Surveys
• The impact of Lyman-$\alpha$ radiative transfer on large-scale clustering in the Illustris simulation
• Anisotropic halo assembly bias and redshift-space distortions
• A Radial Measurement of the Galaxy Tidal Alignment Magnitude with BOSS Data
• The Likelihood for LSS: Stochasticity of Bias Coefficients at All Orders
• Tidal alignments as a contaminant of the galaxy bispectrum
• The Clustering of Galaxies in the Completed SDSS-III Baryon Oscillation Spectroscopic Survey: Cosmic Flows and Cosmic Web from Luminous Red Galaxies
• The EFT Likelihood for Large-Scale Structure in Redshift Space

Cited by in corpus (17)

• 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?
• ENCORE: An $\mathcal{O}(N_{\mathrm{g}}^2)$ Estimator for Galaxy $N$-Point Correlation Functions
• Consistency tests of field level inference with the EFT likelihood
• Machine Learning for Observational Cosmology
• A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
• Cosmology inference at the field level from biased tracers in redshift-space
• Joint velocity and density reconstruction of the Universe with nonlinear differentiable forward modeling
• BAO scale inference from biased tracers using the EFT likelihood
• Direct signatures of the formation time of galaxies
• BullFrog: Multi-step perturbation theory as a time integrator for cosmological simulations
• Straightening the Ruler: Field-Level Inference of the BAO Scale with LEFTfield
• Field-level Reconstruction from Foreground-Contaminated 21-cm Maps
• Assembly bias in quadratic bias parameters of dark matter halos from forward modeling
• Perturbation Theory Remixed II: Improved Modeling of Nonlinear Bispectrum
• Precision calculation of the EFT likelihood with primordial non-Gaussianities
• Cosmic voids and BAO with relative baryon-CDM perturbations