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Table 1.
Free parameters and priors used in the MCMC analysis.
| Model | Parameter space | Prior | |
|---|---|---|---|
| m = 0 | ΛvCDM | ![]() |
π(Ωvc0h2); π(Ωdm0h2): 𝒩(0.12, 0.01) |
| ΛvCDM + ΩK | ![]() |
π(Ωb0h2): 𝒩(0.022, 0.01) | |
| m free | ΛvCDM | ![]() |
: 𝒰(0, 1) |
| ΛvCDM + ΩK | ![]() |
π(m): 𝒰(−2, 2) | |
|
ΛCDM | Θ = {H0, Ωb0h2, Ωdm0h2, M} | π(H0): 𝒰(30, 99) |
| ΛCDM + ΩK | Θ = {H0, ΩK0, Ωb0h2, Ωdm0h2, M} | π(ΩK0): 𝒰(−0.4, 0.4); π(M): 𝒰(−30, −5) | |
Notes. We list the prior ranges, using 𝒩(μ, σ) to denote a Gaussian and 𝒰(a, b) to denote a uniform prior.
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