jla.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=['JLA']

#------ 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_cdm'] = [0.2562,  None, None, 0.008,  1, 'cosmo']

# Nuisance
data.parameters['alpha']   = [0.15 ,  None, None, 0.001, 1, 'nuisance']
data.parameters['beta']    = [3.559,  None, None, 0.02,  1, 'nuisance']
data.parameters['M']       = [-19.02, None, None, 0.004,  1, 'nuisance']
data.parameters['Delta_M'] = [-0.10,  None, None, 0.004,  1, 'nuisance']

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


data.cosmo_arguments['Omega_b'] = 0.05
#------ 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