First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Parameter Estimation Methodology

TL;DR

This paper details the methodology used to analyze WMAP CMB data and other cosmological measurements to accurately estimate cosmological parameters, emphasizing rigorous statistical techniques and model considerations.

Contribution

It introduces a comprehensive approach combining likelihood functions and Monte Carlo Markov Chains for precise parameter estimation from diverse cosmological data sets.

Findings

WMAP data constrains cosmological parameters tightly.

Combines CMB, galaxy, and Ly alpha forest data for comprehensive analysis.

Addresses systematic uncertainties in modeling and data interpretation.

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 Ly alpha 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 non-linear growth of structure. We show how the statistical and systematic uncertainties in the model and the data are propagated through the full analysis.