Table 2.
Linear regression to the binned data (see Figs. 17 and 18).
Model | Frame | kobs | kmock | σk, mock | Δk[σ] | P | ℒ |
---|---|---|---|---|---|---|---|
Λ-CDM | LG | −0.24 | −0.21 | 0.06 | 0.48 | 0.63 | 0.83 |
Λ-CDM | CMB | −0.20 | −0.21 | 0.06 | 0.12 | 0.90 | 0.96 |
Differential expansion | LG | −0.24 | −0.34 | 0.07 | 1.52 | 0.13 | 0.17 |
Differential expansion | CMB | −0.20 | −0.34 | 0.07 | 2.08 | 0.04 | 0.04 |
Notes. Coefficients, probabilities and likelihoods of the observations using the selected datasets calculated for the average of the linear regressions fitted to the bins. First column: specific model; second column: rest frame; third column: slope kobs using the observations; fourth column: slope Hmock fitted on the mock catalogue data; fifth column: standard deviation σk, mock of the slope fitted to the mock catalogue; sixth column: deviation of the observed slope from the slope in the mock catalogue (given in standard deviation); seventh column: probability P for the observations to be represented by the model; eighth column: likelihood ℒ for the model (only assuming Λ-CDM and timescape cosmology as possible options).
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