The joint large-scale foreground-CMB posteriors of the 3-year WMAP data
arXiv:0709.1037 · doi:10.1086/526545
Abstract
Using a Gibbs sampling algorithm for joint CMB estimation and component separation, we compute the large-scale CMB and foreground posteriors of the 3-yr WMAP temperature data. Our parametric data model includes the cosmological CMB signal and instrumental noise, a single power law foreground component with free amplitude and spectral index for each pixel, a thermal dust template with a single free overall amplitude, and free monopoles and dipoles at each frequency. This simple model yields a surprisingly good fit to the data over the full frequency range from 23 to 94 GHz. We obtain a new estimate of the CMB sky signal and power spectrum, and a new foreground model, including a measurement of the effective spectral index over the high-latitude sky. A particularly significant result is the detection of a common spurious offset in all frequency bands of ~ -13muK, as well as a dipole in the V-band data. Correcting for these is essential when determining the effective spectral index of the foregrounds. We find that our new foreground model is in good agreement with template-based model presented by the WMAP team, but not with their MEM reconstruction. We believe the latter may be at least partially compromised by the residual offsets and dipoles in the data. Fortunately, the CMB power spectrum is not significantly affected by these issues, as our new spectrum is in excellent agreement with that published by the WMAP team. The corresponding cosmological parameters are also virtually unchanged.
5 pages, 4 figures, submitted to ApJL. Background data are available at http://www.astro.uio.no/~hke under the Research tab
References in corpus (6)
- Wilkinson Microwave Anisotropy Probe (WMAP) Three Year Results: Implications for Cosmology
- Three Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Polarization Analysis
- Three-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Temperature Analysis
- Joint Bayesian component separation and CMB power spectrum estimation
- Estimation of Polarized Power Spectra by Gibbs sampling
- Bayesian analysis of the low-resolution polarized 3-year WMAP sky maps
Cited by in corpus (30)
- Seven-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Galactic Foreground Emission
- Joint Bayesian component separation and CMB power spectrum estimation
- Separation of anomalous and synchrotron emissions using WMAP polarization data
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Galactic Foreground Emission
- Bayesian analysis of sparse anisotropic universe models and application to the 5-yr WMAP data
- Bayesian analysis of an anisotropic universe model: systematics and polarization
- Planck Intermediate Results. IX. Detection of the Galactic haze with Planck
- Bayesian component separation and CMB estimation for the 5-year WMAP temperature data
- A Markov Chain Monte Carlo Algorithm for analysis of low signal-to-noise CMB data
- Foreground Analysis Using Cross-Correlations of External Templates on the 7-year WMAP data
- CMB likelihood approximation by a Gaussianized Blackwell-Rao estimator
- Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys
- Wiener filter reloaded: fast signal reconstruction without preconditioning
- Local non-Gaussianity in the Cosmic Microwave Background the Bayesian way
- An Improved Diffuse Foreground Subtraction by ILC method: CMB Map and Angular Power Spectrum using Planck and WMAP Observations
- A multi-level solver for Gaussian constrained CMB realizations
- Hemispherical power asymmetry: parameter estimation from CMB WMAP5 data
- A Global ILC Approach in Pixel Space over Large Angular Scales of the Sky using CMB Covariance Matrix
- Real space tests of the statistical isotropy and Gaussianity of the WMAP CMB data
- Analysis of WMAP 7-year Temperature Data: Astrophysics of the Galactic Haze
- CMB Polarization and Temperature Power Spectra Estimation using Linear Combination of WMAP 5-year Maps
- Bayesian analysis of white noise levels in the 5-year WMAP data
- A Perturbative Analysis of Synchrotron Spectral Index Variation over Microwave Sky
- Probing local non-Gaussianities within a Bayesian framework
- Marginal distributions for cosmic variance limited CMB polarization data
- An Accurate Reconstruction of CMB E Mode Signal over Large Angular Scales using Prior Information of CMB Covariance Matrix in ILC Algorithm
- Application of Genetic Algorithm to Estimate the Large Angular Scale Features of Cosmic Microwave Background
- Foreground removal and angular power spectrum estimation of 21 cm signal using harmonic space ILC method
- A Partial-Sky Gibbs ILC Approach for the Estimation of CMB Posterior over Large Angular Scales of the Sky
- A Foreground Model Independent Bayesian CMB Temperature and Polarization Signal Reconstruction and Cosmological Parameter Estimation over Large Angular Scales