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First-year wilkinson microwave anisotropy probe (wmap) 1 observations: parameter estimation methodology
Licia Verde,H. V. Peiris,David N. Spergel,M. R. Nolta,C. L. Bennett,M. Halpern,G. Hinshaw,N. Jarosik,Alan J. Kogut,Michele Limon,S. S. Meyer,Gregory S. Tucker,Edward J. Wollack,E. L. Wright +13 more
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In this paper, the authors compare the Wilkinson Microwave Anisotropy Probe (WMAP) and other complementary data sets to theoretical models to characterize the statistical properties of the microwave background sky.Abstract:
We describe our methodology for comparing the Wilkinson Microwave Anisotropy Probe (WMAP )m easurements of the cosmic microwave background (CMB) and other complementary data sets to theoretical models. The unprecedented quality of the WMAP data and the tight constraints on cosmological parameters that are derived require a rigorous analysis so that the approximations made in the modeling do not lead to significant biases. We describe our use of the likelihood function to characterize the statistical properties of the microwave background sky. We outline the use of the Monte Carlo Markov Chains to explore the likelihood of the data given a model to determine the best-fit cosmological parameters and their uncertainties. We add to the WMAP data the ‘e700 Cosmic Background Imager (CBI) and Arcminute Cosmology Bolometer Array Receiver (ACBAR) measurements of the CMB, the galaxy power spectrum at z � 0o btained from the Two-Degree Field Galaxy Redshift Survey (2dFGRS), and the matter power spectrum at z � 3a s measured with the Ly� forest. These last two data sets complement the CMB measurements by probing the matter power spectrum of the nearby universe. Combining CMB and 2dFGRS requires that we include in our analysis a model for galaxy bias, redshift distortions, and the nonlinear growth of structure. We show how the statistical and systematic uncertainties in the model and the data are propagated through the full analysis. Subject headings: cosmic microwave background — cosmological parameters — cosmology: observations — methods: data analysis — methods: statisticalread more
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Suppressing the lower multipoles in the CMB anisotropies
TL;DR: The Cosmic Microwave Background (CMB) anisotropy power on the largest angular scales observed both by WMAP and COBE DMR appears to be lower than the one predicted by the standard model of cosmology with almost scale free primordial perturbations arising from a period of inflation.
Journal ArticleDOI
WMAP and the generalized Chaplygin gas
TL;DR: In this article, the authors compare the WMAP temperature power spectrum and SNIa data to models with a generalized Chaplygin gas as dark energy, and show that a generalization of the generalization appears much less likely as a unified dark matter candidate than as a dark energy model.
Journal ArticleDOI
Neutrino masses and the number of neutrino species from WMAP and 2dFGRS
TL;DR: In this article, the authors performed a thorough analysis of the constraints which can be put on neutrino parameters from cosmological observations, most notably those from the WMAP satellite and the 2dF galaxy survey.
Journal ArticleDOI
Three-Year Wilkinson Microwave Anisotropy Probe (WMAP)* Observations: Beam Profiles, Data Processing, Radiometer Characterization, and Systematic Error Limits
N. Jarosik,Cris W. Barnes,M. R. Greason,Robert S. Hill,Michael R. Nolta,N. Odegard,Janet L. Weiland,Rachel Bean,Rachel Bean,Charles L. Bennett,Olivier Doré,Olivier Doré,Mark Halpern,Gary Hinshaw,Alan J. Kogut,Eiichiro Komatsu,Michele Limon,S. S. Meyer,Lyman A. Page,David N. Spergel,Gregory S. Tucker,Edward J. Wollack,Edward L. Wright +22 more
TL;DR: The WMAP satellite has completed 3 years of observations of the cosmic microwave background radiation and the processing used to produce the current sky maps and supporting products represents a significant advancement over the first-year analysis and is described in this paper.
Journal ArticleDOI
Does the small CMB quadrupole moment suggest new physics
TL;DR: In this paper, the effects of cutting off the primordial power spectrum P(k) at low wave numbers were investigated, motivated by WMAP's confirmation of an anomalously low value of the quadrupole moment of the CMB temperature fluctuations.
References
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Markov Chain Monte Carlo in Practice
TL;DR: The Markov Chain Monte Carlo Implementation Results Summary and Discussion MEDICAL MONITORING Introduction Modelling Medical Monitoring Computing Posterior Distributions Forecasting Model Criticism Illustrative Application Discussion MCMC for NONLINEAR HIERARCHICAL MODELS.
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