Planck 2018 results
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Table 15.

Comparison of ΛCDM+CIP, ΛCDM+AL, and ΛCDM+AL+CIP models with various Planck datasets, when using the baseline Plik likelihood at high .

Constraints
Best fit
Data and model AL AL Δχ2 lnB
TT+lowE
 ΛCDM+CIP 15.5 1.00 −6.9 1.7
 ΛCDM+AL 0.0 1.26 −8.7 2.1
 ΛCDM+AL+CIP < 24.4 3.4 1.23 −8.8 0.6
TT,TE,EE+lowE
 ΛCDM+CIP 10.0 1.00 −5.7 0.9
 ΛCDM+AL 0.0 1.19 −9.7 2.5
 ΛCDM+AL+CIP < 12.7 0.3 1.19 −9.7 0.2
TT,TE,EE+lowE+lensing (conserv.)
 ΛCDM+CIP 3.6 1.00 −3.3 −1.4
 ΛCDM+AL 0.0 1.07 −3.4 −1.2
 ΛCDM+AL+CIP 2.9 1.07 −6.4 −2.8
TT,TE,EE+lowE+lensing (aggr.)
 ΛCDM+CIP 2.7 1.00 −4.0 −1.2
 ΛCDM+AL 0.0 1.05 −2.2 −1.8
 ΛCDM+AL+CIP 2.4 1.06 −6.2 −3.0

Notes. The first two columns (“Constraints”) are the 68% CL ranges or the 95% CL upper bounds on (highlighted in bold for ΛCDM+CIP) and AL. The remaining columns give the best-fit pameter values, and the difference of the best-fit χ2 and the difference of the log of the Bayesian evidence with respect to the pure adiabatic ΛCDM model. A negative Δχ2 means that the quoted model fits the data better than ΛCDM, while a positive lnB means that the Bayesian model comparison favours the quoted model, when adopting the uniform priors and 0.3 ≤ AL ≤ 1.7.

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