L. Verde et al. 2003 ApJS 148 195 doi:10.1086/377335
L. Verde1,2, H. V. Peiris1, D. N. Spergel1, M. R. Nolta3, C. L. Bennett4, M. Halpern5, G. Hinshaw4, N. Jarosik3, A. Kogut4, M. Limon4,6, S. S. Meyer7, L. Page3, G. S. Tucker4,6,8, E. Wollack4 and E. L. Wright9
Show affiliationsWe describe our methodology for comparing the Wilkinson Microwave Anisotropy Probe (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
700 Cosmic Background Imager (CBI) and Arcminute Cosmology Bolometer Array Receiver (ACBAR) measurements of the CMB, the galaxy power spectrum at z ~ 0 obtained from the Two-Degree Field Galaxy Redshift Survey (2dFGRS), and the matter power spectrum at z ~ 3 as measured with the Lyα 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.
cosmic microwave background; cosmological parameters; cosmology: observations; methods: data analysis; methods: statistical
Issue 1 (2003 September)
Received 2003 February 11, accepted for publication 2003 May 30
L. Verde et al. 2003 ApJS 148 195
John J. Feldmeier et al 1996 ApJ 461 L25
Eli Waxman 2004 ApJ 602 886
A Berko et al 2009 J. Phys.: Conf. Ser. 190 012147
Benjamin Bahr and Bianca Dittrich 2009 Class. Quantum Grav. 26 225011
S A Suchkova et al 2009 J. Phys.: Conf. Ser. 190 012137
Mustapha Hamdi 2009 Nanotechnology 20 485501
A Lanacer et al 2007 Semicond. Sci. Technol. 22 1282
Shantanu Basu and Chigurupati Murali 2001 ApJ 551 743
W W Stoffels et al 2006 Meas. Sci. Technol. 17 N67