test_is.param

#------Experiments to test (separated with commas)-----

# valid options are (so far): acbar, bicep, boomerang, cbi,
# hst, quad, sn, spt, fake_planck_bluebook,
# euclid_pk, euclid_lensing
# and clik_fake_planck (for Planck members)

data.experiments=['hst', 'timedelay', 'sn', 'test_nuisance1', 'test_nuisance2']

#------ Parameter list -------
# data.parameters[class name] = [mean, min, max, 1-sigma, scale, role]
# - if min max irrelevant, put to -1 or None (if you want a boundary of -1, use -1.0)
# - if fixed, put 1-sigma to 0
# - if scale irrelevant, put to 1, otherwise to the appropriate factor
# - role is either 'cosmo', 'nuisance' or 'derived'


# Cosmological parameters list
data.parameters['omega_b']   = [2.249,  1.8, 3, 0.016, 0.01, 'cosmo']
data.parameters['h']         = [0.703,  0.6,0.8, 0.0065,1,   'cosmo']

# Nuisance parameters
data.parameters['amplitude'] = [0.1, -1., 1, 0.01, 1, 'nuisance']
data.parameters['other']     = [0.1, -1., 1, 0.01, 1, 'nuisance']

# Derived parameter list
data.parameters['Omega_Lambda'] = [0,       -1, -1, 0,1,  'derived']

data.cosmo_arguments['N_eff'] = 3.046

#------ Mcmc parameters ----
# Number of steps taken, by default (overwritten by the -N command)
data.N=10
# Number of accepted steps before writing to file the chain. Larger means less
# access to disc, but this is not so much time consuming.
data.write_step=5