mcmc_wmap.yaml

output: chains/mcmc_wmap

theory:
  camb:

sampler:
  mcmc:

likelihood:
  wmaplike.WMAPLike:
    # Since we use a prior on tau, we do not need the low-l TE data.
    temin: 24

params:
  ombh2:
    prior:
      min: 0.017
      max: 0.027
    ref:
      dist: norm
      loc: 0.02237
      scale: 1.5e-3
    proposal: 6.5e-5
    latex: \Omega_b h^2
  omch2:
    prior:
      min: 0.09
      max: 0.15
    ref:
      dist: norm
      loc: 0.1200
      scale: 1.2e-2
    proposal: 1.1e-3
    latex: \Omega_c h^2
  logA:
    prior:
      min: 2.6
      max: 3.5
    ref:
      dist: norm
      loc: 3.044
      scale: 0.14
    proposal: 3.6e-3
    drop: True
    latex: \log(10^{10} A_s)
  As:
    value: "lambda logA: 1e-10 * np.exp(logA)"
    latex: A_s
  ns:
    prior:
      min: 0.9
      max: 1.1
    ref:
      dist: norm
      loc: 0.9649
      scale: 4.2e-2
    proposal: 3.3e-3
    latex: n_s
  tau:
    prior:
      dist: norm
      loc: 0.065
      scale: 0.0015
    ref:
      dist: norm
      loc: 0.0544
      scale: 7.3e-2
    proposal: 1.5e-3
    latex: \tau_*
  cosmomc_theta:
     prior:
       min: 0.0103
       max: 0.0105
     ref:
       dist: norm
       loc: 0.0104092
       scale: 3.1e-5
     proposal: 1.5e-6
     latex: \theta_\mathrm{MC}
  H0:
    latex: H_0
  sigma8:
    latex: \sigma_8
  zstar:
    latex: z_*
  age:
    latex: t_0