Likelihood methods for CMB experiments
arXiv:1909.09375 · doi:10.3389/fphy.2020.00015
Abstract
A great deal of experimental effort is currently being devoted to the precise measurements of the cosmic microwave background (CMB) sky in temperature and polarisation. Satellites, balloon-borne, and ground-based experiments scrutinize the CMB sky at multiple scales, and therefore enable to investigate not only the evolution of the early Universe, but also its late-time physics with unprecedented accuracy. The pipeline leading from time ordered data as collected by the instrument to the final product is highly structured. Moreover, it has also to provide accurate estimates of statistical and systematic uncertainties connected to the specific experiment. In this paper, we review likelihood approaches targeted to the analysis of the CMB signal at different scales, and to the estimation of key cosmological parameters. We consider methods that analyze the data in the spatial (i.e., pixel-based) or harmonic domain. We highlight the most relevant aspects of each approach and compare their performance.
arXiv comment71 pages, 5 figures. Matching version to be published in Frontiers in Physics, section Cosmology, as a contribution to the collection "Status and Prospects of Cosmic Microwave Background Analysis"
References in corpus (93)
- HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
- Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Parameter Results
- Efficient Computation of CMB anisotropies in closed FRW models
- A Flat Universe from High-Resolution Maps of the Cosmic Microwave Background Radiation
- Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
- The Simons Observatory: Science goals and forecasts
- Three Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Polarization Analysis
- Seven-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Power Spectra and WMAP-Derived Parameters
- 4-Year COBE DMR Cosmic Microwave Background Observations: Maps and Basic Results
- An All-Sky Analysis of Polarization in the Microwave Background
- Weak Gravitational Lensing of the CMB
- Three-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Temperature Analysis
- Cosmic Microwave Background Anisotropies
- MASTER of the CMB Anisotropy Power Spectrum: A Fast Method for Statistical Analysis of Large and Complex CMB Data Sets
- Planck 2015 results. XI. CMB power spectra, likelihoods, and robustness of parameters
- Mass Reconstruction with CMB Polarization
- Adaptive approximate Bayesian computation
- Planck 2013 results. XV. CMB power spectra and likelihood
- First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Parameter Estimation Methodology
- The Cosmic Linear Anisotropy Solving System (CLASS) I: Overview
- A Measurement of the Damping Tail of the Cosmic Microwave Background Power Spectrum with the South Pole Telescope
- BICEP2 / Keck Array x: Constraints on Primordial Gravitational Waves using Planck, WMAP, and New BICEP2/Keck Observations through the 2015 Season
- CMB Lensing Reconstruction on the Full Sky
- Estimating the Power Spectrum of the Cosmic Microwave Background
- Mission design of LiteBIRD
- Planck intermediate results. XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth
- How to measure CMB power spectra without losing information
- Planck 2013 results. XVII. Gravitational lensing by large-scale structure
- Advanced ACTPol Cryogenic Detector Arrays and Readout
- SPT-3G: A Next-Generation Cosmic Microwave Background Polarization Experiment on the South Pole Telescope
- Joint Bayesian component separation and CMB power spectrum estimation
- A full sky, low foreground, high resolution CMB map from WMAP
- Planck 2013 results. XII. Component separation
- Radical Compression of Cosmic Microwave Background Data
- Component separation methods for the Planck mission
- Likelihood Analysis of CMB Temperature and Polarization Power Spectra
- The pre-launch Planck Sky Model: a model of sky emission at submillimetre to centimetre wavelengths
- Myths and Truths Concerning Estimation of Power Spectra
- Fast likelihood-free cosmology with neural density estimators and active learning
- The Atacama Cosmology Telescope: Two-Season ACTPol Spectra and Parameters
- Global, Exact Cosmic Microwave Background Data Analysis Using Gibbs Sampling
- Power spectrum estimation from high-resolution maps by Gibbs sampling
- Simulations of the Microwave Sky
- Measurements of the Temperature and E-Mode Polarization of the CMB from 500 Square Degrees of SPTpol Data
- The Atacama Cosmology Telescope: likelihood for small-scale CMB data
- Analysis of CMB polarization on an incomplete sky
- The Pseudo- method: Cosmic microwave background anisotropy power spectrum statistics for high precision cosmology
- Cosmic microwave background anisotropy power spectrum statistics for high precision cosmology
- The POLARBEAR-2 and the Simons Array Experiment
- E/B decomposition of finite pixelized CMB maps
- Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology
- How to measure CMB polarization power spectra without losing information
- CLASS: The Cosmology Large Angular Scale Surveyor
- Planck 2018 results. IX. Constraints on primordial non-Gaussianity
- Lensed CMB simulation and parameter estimation
- The LiteBIRD Satellite Mission - Sub-Kelvin Instrument
- Application of Monte Carlo Algorithms to the Bayesian Analysis of the Cosmic Microwave Background
- The Atacama Cosmology Telescope: Two-Season ACTPol Lensing Power Spectrum
- CMB component separation by parameter estimation
- A Measurement of the Cosmic Microwave Background -Mode Polarization Power Spectrum at Sub-Degree Scales from 2 years of POLARBEAR Data
- Exploring Cosmic Origins with CORE: Survey requirements and mission design
- Nuisance hardened data compression for fast likelihood-free inference
- CMB temperature and polarisation pseudo-Cl estimators and covariances
- Pseudo- estimators which do not mix E and B modes
- Planck 2015 results. XXV. Diffuse low-frequency Galactic foregrounds
- Multi-resolution internal template cleaning: An application to the Wilkinson Microwave Anisotropy Probe 7-yr polarization data
- Evidence for Gravitational Lensing of the Cosmic Microwave Background Polarization from Cross-correlation with the Cosmic Infrared Background
- SPIDER: Probing the Early Universe with a Suborbital Polarimeter
- Polarized CMB power spectrum estimation using the pure pseudo-cross-spectrum approach
- A general solution to the E-B mixing problem
- Exact likelihood evaluations and foreground marginalization in low resolution WMAP data
- Bayesian optimisation for likelihood-free cosmological inference
- Error analysis of quadratic power spectrum estimates for CMB polarization: sampling covariance
- CMB Delensing Beyond the B Modes
- PICO: Probe of Inflation and Cosmic Origins
- A 2500 square-degree CMB lensing map from combined South Pole Telescope and Planck data
- On the joint analysis of CMB temperature and lensing-reconstruction power spectra
- Non-Gaussian structure of the lensed CMB power spectra covariance matrix
- Exploring cosmic origins with CORE: gravitational lensing of the CMB
- Cosmological Parameter Constraints as Derived from the Wilkinson Microwave Anisotropy Probe Data via Gibbs Sampling and the Blackwell-Rao Estimator
- Performance of a continuously rotating half-wave plate on the POLARBEAR telescope
- Likelihood methods for the combined analysis of CMB temperature and polarisation power spectra
- What can be learned from the lensed cosmic microwave background B-mode polarization power spectrum?
- TEASING: a fast and accurate approximation for the low multipole likelihood of the Cosmic Microwave Background temperature
- The EBEX Balloon Borne Experiment - Optics, Receiver, and Polarimetry
- Component separation with flexible models. Application to the separation of astrophysical emissions
- Quadratic estimator for CMB cross-correlation
- The Polarization of the Cosmic Microwave Background
- CMB likelihood approximation by a Gaussianized Blackwell-Rao estimator
- CMB Lens Sample Covariance and Consistency Relations
- Exact joint likelihood of pseudo- estimates from correlated Gaussian cosmological fields
- 280 GHz Focal Plane Unit Design and Characterization for the SPIDER-2 Suborbital Polarimeter
- Lens covariance effects on likelihood analyses of CMB power spectra
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- Updated constraints on amplitude and tilt of the tensor primordial spectrum
- SPT-3G D1: CMB temperature and polarization power spectra and cosmology from 2019 and 2020 observations of the SPT-3G Main field
- Smoothing the tension with a dynamical dark energy model
- Impact of internal-delensing biases on searches for primordial B-modes of CMB polarisation
- candl: Cosmic Microwave Background Analysis with a Differentiable Likelihood
- A novel CMB polarization likelihood package for large angular scales built from combined WMAP and Planck LFI legacy maps
- BeyondPlanck XI. Bayesian CMB analysis with sample-based end-to-end error propagation
- Analysis of NILC performance on B-modes data of sub-orbital experiments
- An Informational Approach to Cosmological Parameter Estimation
- Inference of the optical depth to reionization from CMB maps with convolutional neural networks
- The Simons Observatory: impact of bandpass, polarization angle and calibration uncertainties on small-scale power spectrum analysis
- Improved Gibbs samplers for Cosmic Microwave Background power spectrum estimation
- Impact of reionization history on constraining primordial gravitational waves in future all-sky cosmic microwave background experiments
- Pixel domain multi-resolution minimum variance painting of CMB maps
- Requirements on bandpass resolution and measurement precision for LiteBIRD
- Beyond thermal approximations: Precise cosmological bounds on Axion-Like Particles
- Accurate and efficient likelihood modeling for large-scale CMB data