Table 1:
Strength of evidence disfavoring the three benchmark models against a cosmological
constant model, using an indicative accuracy on from present data, . |
Table 2:
Required accuracy for future surveys in order to disfavor the three benchmark models
against for two different strengths of evidence. |
Table 3:
Expected galaxy number densities in units of for Euclid survey. Let us notice
that the galaxy number densities depend on the fiducial cosmology adopted in the computation
of the survey volume, needed for the conversion from the galaxy numbers to . |
Table 4:
marginalized errors for the bias and the growth rates in each redshift bin. |
Table 5:
Numerical values for constraints on parameters in Figure 16 and figures of merit.
Here we have fixed to its fiducial value, . |
Table 6:
Numerical values for constraints on parameters and (assumed constant),
relative to the red ellipses in Figures 17, 18 and figures of merit. Here we have marginalized over
. |
Table 7:
Numerical values for marginalized constraints on cosmological parameters using
constant and . |
Table 8:
marginalized errors for parameters and expressed through and
parameterizations. Columns refer to marginalization over (Figure 17)
while columns refer to marginalization over (Figure 18). |
Table 9:
Numerical values for constraints on parameters in right panel of Figure 16 and figures
of merit. |
Table 10:
Numerical values for constraints on parameters in Figure 19 and figures of merit. |
Table 11:
marginalized errors for the parameters and , obtained with three different
methods (reference case, see Figure 20). |
Table 12:
Values used in our computation. The values of the fiducial model (WMAP7, on the left)
and the survey parameters (on the right). |
Table 13:
1- errors for the set of cosmological parameters,
combining CMB + (left column) and CMB + + WL (right column). |
Table 14:
1- errors for , for CMB, , WL and CMB + + WL. For each line,
only the parameter in the left column has been fixed to the reference value. The first line corresponds
to the case in which we have marginalized over all parameters. Table reproduced by permission
from [42], copyright by APS. |
Table 15:
, , and estimated from Planck simulated data. Table reproduced by
permission from [676], copyright by APS. |
Table 16:
Covariance matrix for from Planck. Table reproduced by permission
from [676], copyright by APS. |
Table 17:
Fisher matrix for ( , , , , , , ) derived from the covariance
matrix for from Planck. Table reproduced by permission from [676], copyright by
APS. |
Table 18:
and marginalized errors from LSS+CMB |
Table 19:
Instrument specifics for the Planck satellite with 30 months of integration. |
Table 20:
Cosmological parameters |
Table 21:
Specifications of the surveys used in the Euclid forecasts given in Table 22. The redshift
distributions of the different galaxy samples are as in Section 1.8.2 (see also [393]). |
Table 22:
Forecast errors for the nonlinearity parameter based on two-point statistics
(power spectra) of the Euclid redshift and weak-lensing surveys. Results are obtained using the
Fisher-matrix formalism and marginalizing over eight cosmological parameters ( , , ,
, , , , ) plus a large number of nuisance parameters to account for galaxy
biasing, nonlinear redshift-space distortions and shot noise (see [393] for details). Results within
parentheses include the forecast priors for the cosmological parameters from the power spectrum of
CMB temperature anisotropies measured with the Planck satellite (note that no prior is assumed
on ). The label “Galaxy clustering” refers to the anisotropic power spectrum for
spectroscopic data and to the angular power spectrum for photometric data. The combined
analysis of clustering and lensing data is based on angular power spectra and includes all possible
cross-correlations between different redshift bins and probes. nonlinear power spectra are computed
using the halo model. This introduces possible inaccuracies in the forecasts for weak lensing data in
the equilateral and orthogonal shapes (see main text for details). |
Table 23:
Forecast errors for a scale-dependent local model of primordial non-Gaussianity
[393]. Details of the forecasts are as in the previous Table 22. |
Table 24:
Bianchi models containing FRW limit and their structure constants. |