Joint estimation of cosmological parameters from CMB and IRAS data
Matthew Webster, S.L. Bridle, M.P. Hobson, A.N. Lasenby, Ofer Lahav &, Graca Rocha

TL;DR
This paper combines CMB and IRAS galaxy survey data to jointly estimate cosmological parameters, improving accuracy and resolving degeneracies in model fitting for a flat universe with a cosmological constant.
Contribution
It introduces a joint likelihood approach that self-consistently incorporates mass distribution effects, enhancing parameter estimation accuracy over separate analyses.
Findings
Joint analysis yields best-fit parameters: Omega_m=0.39, h=0.53, Q=16.96μK, b_i=1.21.
68% confidence intervals: Omega_m=0.29-0.53, h=0.39-0.58, Q=15.34-17.60, b_i=0.98-1.56.
Derived mass power-spectrum normalization: sigma_8=0.67, shape parameter Gamma=0.15.
Abstract
Observations of large scale structure (LSS) and the Cosmic Microwave Background (CMB) each place separate constraints on the values of cosmological parameters. We calculate a joint likelihood based on various CMB experiments and the IRAS 1.2Jy galaxy redshift survey and use this to find an overall optimum with respect to the free parameters. Our formulation self-consistently takes account of the underlying mass distribution, which affects both the CMB potential fluctuations and the IRAS redshift distortion. This not only allows more accurate parameter estimation, but also removes the parameter degeneracy which handicaps calculations based on either approach alone. The family of Cold Dark Matter (CDM) models analysed corresponds to a spatially-flat universe with an initially scale-invariant spectrum and a cosmological constant. Free parameters in the joint model are the mass density due…
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Taxonomy
TopicsCosmology and Gravitation Theories · Astronomy and Astrophysical Research · Geophysics and Gravity Measurements
