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First year Wilkinson Microwave Anisotropy Probe (WMAP) observations: implications for inflation. Astrophys
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| Venue: | J. Suppl |
| Citations: | 251 - 5 self |
BibTeX
@ARTICLE{Verde_firstyear,
author = {L. Verde and N. Jarosik and A. Kogut and M. Limon and S. S. Meyer and G. S. Tucker and E. L. Wright and Chandra Fellow},
title = {First year Wilkinson Microwave Anisotropy Probe (WMAP) observations: implications for inflation. Astrophys},
journal = {J. Suppl},
year = {},
pages = {2003}
}
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Abstract
We describe our methodology for comparing the WMAP measurements 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 ℓ � 700 CBI and ACBAR measurements of the CMB, the galaxy power spectrum at z ∼ 0 obtained from the 2dF galaxy redshift survey (2dFGRS), and the matter power spectrum at z ∼ 3 as measured with the Lyman α 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
Keyphrases
matter power spectrum wmap data cmb measurement nearby universe cosmic microwave background significant bias likelihood function data set fit cosmological parameter galaxy redshift survey acbar measurement statistical property unprecedented quality galaxy power spectrum rigorous analysis cosmological parameter wmap measurement complementary data set monte carlo markov chain microwave background sky tight constraint theoretical model
