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First‐YearWilkinson Microwave Anisotropy Probe(WMAP) Observations: Parameter Estimation Methodology
Author(s) -
Licia Verde,
Hiranya V. Peiris,
David N. Spergel,
M. R. Nolta,
C. L. Bennett,
M. Halpern,
G. Hinshaw,
N. Jarosik,
A. Kogut,
M. Limon,
S. S. Meyer,
Lyman A. Page,
Gregory S. Tucker,
Edward J. Wollack,
E. L. Wright
Publication year - 2003
Publication title -
the astrophysical journal supplement series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.546
H-Index - 277
eISSN - 1538-4365
pISSN - 0067-0049
DOI - 10.1086/377335
Subject(s) - cmb cold spot , cosmic microwave background , physics , astrophysics , field galaxy , spectral density , cosmology , planck , galaxy , redshift , cosmic background radiation , redshift survey , anisotropy , statistics , mathematics , quantum mechanics
We describe our methodology for comparing the WMAP measurements of the cosmicmicrowave background (CMB) and other complementary data sets to theoreticalmodels. The unprecedented quality of the WMAP data, and the tight constraintson cosmological parameters that are derived, require a rigorous analysis sothat the approximations made in the modeling do not lead to significant biases.We describe our use of the likelihood function to characterize the statisticalproperties of the microwave background sky. We outline the use of the MonteCarlo Markov Chains to explore the likelihood of the data given a model todetermine the best fit cosmological parameters and their uncertainties. We addto the WMAP data the l>~700 CBI and ACBAR measurements of the CMB, the galaxypower 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 matterpower spectrum of the nearby universe. Combining CMB and 2dFGRS requires thatwe include in our analysis a model for galaxy bias, redshift distortions, andthe non-linear growth of structure. We show how the statistical and systematicuncertainties in the model and the data are propagated through the fullanalysis.

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