Forecasting Cosmic Parameter Errors from Microwave Background Anisotropy Experiments
J. Richard Bond, George Efstathiou, Max Tegmark
TL;DR
The paper forecasts cosmological parameter errors for high-resolution CMB experiments MAP and Planck using a Fisher-matrix approach, with the Fisher matrix F_{ij} = \sum_\ell (\Delta C_\ell)^{-2} (\partial C_\ell/\partial s_i)(\partial C_\ell/\partial s_j) and parameter covariance M = F^{-1}. It adopts an 11-parameter set including matter densities via ω_j = Ω_j h^2, initial-condition amplitudes/tilts, Y_{He}, τ_C, and tensor-scalar parameters (r_{ts}, n_t), optimized for accurate C_l derivatives computed with two Boltzmann codes to better than 1% accuracy. Applying the method to MAP, Planck, and LDB scenarios shows Planck can constrain Ω_b h^2 and h to a few percent or better across target models, while degeneracies such as the angle-distance between Ω_k h^2 and Ω_Λ h^2 persist without priors; priors and external information can mitigate these. The work demonstrates the substantial potential of CMB observations to dramatically sharpen cosmological parameter estimates, while highlighting the need for precise derivative calculations and thoughtful prior choices to obtain robust forecasts.
Abstract
Accurate measurements of the cosmic microwave background (CMB) anisotropies with an angular resolution of a few arcminutes can be used to determine fundamental cosmological parameters such as the densities of baryons, cold and hot dark matter, and certain combinations of the cosmological constant and the curvature of the Universe to percent-level precision. Assuming the true theory is a variant of inflationary cold dark matter cosmologies, we calculate the accuracy with which cosmological parameters can be determined by the next generation of CMB satellites, MAP and Planck. We pay special attention to: (a) the accuracy of the computed derivatives of the CMB power spectrum C_L; (b) the number and choices of parameters; (c) the inclusion of prior knowledge of the values of various parameters.
