Field-level multiprobe analysis of the CMB, integrated Sachs-Wolfe effect, and the galaxy density maps

Abstract

Extracting information from cosmic surveys is often done in a two-step process, construction of maps and then summary statistics such as two-point functions. We use simulations to demonstrate the advantages of a general Bayesian framework that consistently combines different cosmological experiments on the field level, and reconstructs both the maps and cosmological parameters. We apply our method to jointly reconstruct the primordial CMB, the integrated Sachs-Wolfe effect, and six tomographic galaxy density maps on the full sky on large scales along with several cosmological parameters. While the traditional maximum a posterior estimator has both two-point level and field-level bias, the new approach yields unbiased cosmological constraints and improves the signal-to-noise ratio of the maps.

arXiv comment23 pages, 20 figures, updated to match the published version in PRD

References in corpus (36)

• HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
• MCMC using Hamiltonian dynamics
• Planck 2018 results. I. Overview and the cosmological legacy of Planck
• Planck 2018 results. V. CMB power spectra and likelihoods
• Power Spectra for Cold Dark Matter and its Variants
• KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints
• Planck 2018 results. VIII. Gravitational lensing
• The Atacama Cosmology Telescope: DR4 Maps and Cosmological Parameters
• A correlation of the cosmic microwave sky with large scale structure
• Joint Bayesian component separation and CMB power spectrum estimation
• Looking for $\Lambda$ with the Rees-Sciama Effect
• Cosmological constraints from cosmic shear two-point correlation functions with HSC survey first-year data
• How to make maps from CMB data without losing information
• Global, Exact Cosmic Microwave Background Data Analysis Using Gibbs Sampling
• Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering
• Mapping the Dark Matter through the CMB Damping Tail
• Measurement of the gravitational potential evolution from the cross-correlation between WMAP and the APM Galaxy survey
• Integrated Sachs-Wolfe effect in Cross-Correlation: The Observer's Manual
• The Atacama Cosmology Telescope: A CMB lensing mass map over 2100 square degrees of sky and its cross-correlation with BOSS-CMASS galaxies
• Constraints on Cosmological Parameters from the 500 deg${}^2$ SPTpol Lensing Power Spectrum
• Galaxy clustering in the DESI Legacy Survey and its imprint on the CMB
• Estimation of Polarized Power Spectra by Gibbs sampling
• Dark Energy Survey Year 3 Results: Galaxy clustering and systematics treatment for lens galaxy samples
• Cosmological parameters, shear maps and power spectra from CFHTLenS using Bayesian hierarchical inference
• Bayesian delensing delight: sampling-based inference of the primordial CMB and gravitational lensing
• Bayesian delensing of CMB temperature and polarization
• JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library
• Dark Energy Survey Year 3 Results: Calibration of Lens Sample Redshift Distributions using Clustering Redshifts with BOSS/eBOSS
• Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys
• Optimal CMB Lensing Reconstruction and Parameter Estimation with SPTpol Data
• Bayesian inference of CMB gravitational lensing
• Consistency tests of field level inference with the EFT likelihood
• Matrix-free Large Scale Bayesian inference in cosmology
• Mapping the Integrated Sachs-Wolfe Effect
• Joint velocity and density reconstruction of the Universe with nonlinear differentiable forward modeling
• Field-level inference of galaxy intrinsic alignment from the SDSS-III BOSS survey

Cited by in corpus (4)

• Accurate field-level weak lensing inference for precision cosmology
• $\text{PineTree}$: A generative, fast, and differentiable halo model for wide-field galaxy surveys
• A Hamiltonian, post-Born, three-dimensional, on-the-fly ray tracing algorithm for gravitational lensing
• Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation