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vanilla_1.yaml
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vanilla_1.yaml
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theory:
dark_linf.Vanilla1:
python_path: src/
camb:
external_wa: True
# stop_at_error: True
extra_args:
halofit_version: mead
bbn_predictor: PArthENoPE_880.2_standard.dat
lens_potential_accuracy: 1
num_massive_neutrinos: 1
nnu: 3.046
theta_H0_range:
- 20
- 100
dark_energy_model: fluid
likelihood:
planck_2018_lowl.TT: null
planck_2018_lowl.EE: null
# stop_at_error: True
planck_2018_highl_plik.TTTEEE: null
planck_2018_highl_plik.SZ: 'lambda ksz_norm, A_sz: stats.norm.logpdf(ksz_norm+1.6*A_sz,
loc=9.5, scale=3.0)'
planck_2018_lensing.clik: null
params:
# N: [0, 1]
# w0: [-1.0, -0.5]
# w1: [-1.0, -0.5]
# w2: [-1.0, -0.5]
w8: [-1.0, -0.5]
# a1: [0.1, 1]
# a2: [0.1, 1]
logA:
prior:
min: 2.5
max: 3.7
ref:
dist: norm
loc: 3.05
scale: 0.001
proposal: 0.001
latex: \log(10^{10} A_\mathrm{s})
drop: true
As:
value: 'lambda logA: 1e-10*np.exp(logA)'
latex: A_\mathrm{s}
ns:
prior:
min: 0.885
max: 1.04
ref:
dist: norm
loc: 0.965
scale: 0.004
proposal: 0.002
latex: n_\mathrm{s}
theta_MC_100:
prior:
min: 1.03
max: 1.05
ref:
dist: norm
loc: 1.04109
scale: 0.0004
proposal: 0.0002
latex: 100\theta_\mathrm{MC}
drop: true
renames: theta
cosmomc_theta:
value: 'lambda theta_MC_100: 1.e-2*theta_MC_100'
derived: false
H0:
latex: H_0
min: 20
max: 100
ombh2:
prior:
min: 0.019
max: 0.025
ref:
dist: norm
loc: 0.0224
scale: 0.0001
proposal: 0.0001
latex: \Omega_\mathrm{b} h^2
omch2:
prior:
min: 0.095
max: 0.145
ref:
dist: norm
loc: 0.12
scale: 0.001
proposal: 0.0005
latex: \Omega_\mathrm{c} h^2
omegam:
latex: \Omega_\mathrm{m}
omegamh2:
derived: 'lambda omegam, H0: omegam*(H0/100)**2'
latex: \Omega_\mathrm{m} h^2
mnu: 0.06
omega_de:
latex: \Omega_\Lambda
YHe:
latex: Y_\mathrm{P}
Y_p:
latex: Y_P^\mathrm{BBN}
DHBBN:
derived: 'lambda DH: 10**5*DH'
latex: 10^5 \mathrm{D}/\mathrm{H}
tau:
prior:
min: 0.01
max: 0.4
ref:
dist: norm
loc: 0.03
scale: 0.006
proposal: 0.003
latex: \tau_\mathrm{reio}
zre:
latex: z_\mathrm{re}
sigma8:
latex: \sigma_8
s8h5:
derived: 'lambda sigma8, H0: sigma8*(H0*1e-2)**(-0.5)'
latex: \sigma_8/h^{0.5}
s8omegamp5:
derived: 'lambda sigma8, omegam: sigma8*omegam**0.5'
latex: \sigma_8 \Omega_\mathrm{m}^{0.5}
s8omegamp25:
derived: 'lambda sigma8, omegam: sigma8*omegam**0.25'
latex: \sigma_8 \Omega_\mathrm{m}^{0.25}
A:
derived: 'lambda As: 1e9*As'
latex: 10^9 A_\mathrm{s}
clamp:
derived: 'lambda As, tau: 1e9*As*np.exp(-2*tau)'
latex: 10^9 A_\mathrm{s} e^{-2\tau}
age:
latex: '{\rm{Age}}/\mathrm{Gyr}'
rdrag:
latex: r_\mathrm{drag}
# prior:
# sorted_prior: 'lambda a1, a2: np.log(a1 < a2)'
sampler:
polychord:
nlive: 80
# evaluate:
# override:
# N: 2.653452172702778
# w0: -0.7659460421391511
# w1: -0.9845816382839268
# w2: -0.7101161287814777
# w8: -0.6888677862957735
# a1: 0.12942566777682263
# a2: 0.7675696807222285
# mcmc:
# drag: true
# oversample_power: 0.4
# proposal_scale: 1.9
# covmat: auto
# Rminus1_stop: 0.01
# Rminus1_cl_stop: 0.2