def log_likelihood(N_nu=mycosmo['N_nu'], Y_He=mycosmo['Y_He'], h=mycosmo['h'], n=mycosmo['n'], omega_M_0=mycosmo['omega_M_0'], omega_b_0=mycosmo['omega_b_0'], omega_lambda_0=mycosmo['omega_lambda_0'], omega_n_0=mycosmo['omega_n_0'], sigma_8=mycosmo['sigma_8'], t_0=mycosmo['t_0'], tau=mycosmo['tau'], w=mycosmo['w'], z_reion=mycosmo['z_reion'],nmassless=mycosmo['Num_Nu_massless'],nmassive=mycosmo['Num_Nu_massive'],library='astropy'):
cosmo=mcmc.get_cosmology(N_nu,Y_He,h,n,omega_M_0,omega_b_0,omega_lambda_0,omega_n_0,sigma_8,t_0,tau,w,z_reion,nmassless,nmassive,library=library)
if library == 'astropy': cosast=astropy.cosmology.wCDM(cosmo['h']*100,cosmo['omega_M_0'],cosmo['omega_lambda_0'],w0=cosmo['w'])
try:
if library == 'cosmolopy':
#print('log_likelihood Beutler Da: cosmolopy')
daval=cosmolopy.distance.angular_diameter_distance(z,**cosmo)
elif library == 'astropy':
#print('log_likelihood Beutler Da: astropy')
daval=cosast.angular_diameter_distance(z)
elif library == 'jc':
#print('log_likelihood Beutler Da: jc')
daval=cosmo_utils.angdist(z,**cosmo)
except:
daval=-1.
try:
if library == 'cosmolopy':
#print('log_likelihood Beutler Hz: cosmolopy')
hval=cosmolopy.distance.e_z(z,**cosmo)*cosmo['h']*100
elif library == 'astropy':
#print('log_likelihood Beutler Hz: astropy')
hval=100*cosmo['h']/cosast.inv_efunc(z)
elif library == 'jc':
#print('log_likelihood Beutler Hz: jc')
hval=cosmo_utils.e_z(z,**cosmo)*cosmo['h']*100
except:
hval=-1.
dvval=((1+z)**2*daval**2*cc*z/hval)**(1./3)
rsval=cosmo_utils.rs_zdrag_fast_camb(**cosmo)*corr
rs_dv=rsval/dvval
chi2=(rs_dv-rs_dv_mes)**2/drs_dv_mes**2
return(-0.5*chi2)
def log_likelihood(
N_nu=np.array(mycosmo["N_nu"]),
Y_He=np.array(mycosmo["Y_He"]),
h=np.array(mycosmo["h"]),
n=np.array(mycosmo["n"]),
omega_M_0=np.array(mycosmo["omega_M_0"]),
omega_b_0=np.array(mycosmo["omega_b_0"]),
omega_lambda_0=np.array(mycosmo["omega_lambda_0"]),
omega_n_0=np.array(mycosmo["omega_n_0"]),
sigma_8=np.array(mycosmo["sigma_8"]),
t_0=np.array(mycosmo["t_0"]),
tau=np.array(mycosmo["tau"]),
w=np.array(mycosmo["w"]),
z_reion=np.array(mycosmo["z_reion"]),
nmassless=mycosmo["Num_Nu_massless"],
nmassive=mycosmo["Num_Nu_massive"],
library="astropy",
):
cosmo = mcmc.get_cosmology(
N_nu,
Y_He,
h,
n,
omega_M_0,
omega_b_0,
omega_lambda_0,
omega_n_0,
sigma_8,
t_0,
tau,
w,
z_reion,
nmassless,
nmassive,
library=library,
)
# print(cosmo['h'],cosmo['omega_M_0'],cosmo['omega_lambda_0'],cosmo['omega_M_0']+cosmo['omega_lambda_0'],cosmo['omega_k_0'],cosmo['w'])
if library == "astropy":
cosast = astropy.cosmology.wCDM(cosmo["h"] * 100, cosmo["omega_M_0"], cosmo["omega_lambda_0"], w0=cosmo["w"])
try:
if library == "cosmolopy":
# print('log_likelihood lyaDR11 Hz: cosmolopy')
hval = cosmolopy.distance.e_z(zlya, **cosmo) * cosmo["h"]
elif library == "astropy":
# print('log_likelihood lyaDR11 Hz: astropy')
hval = cosmo["h"] / cosast.inv_efunc(zlya)
elif library == "jc":
# print('log_likelihood lyaDR11 Hz: jc')
hval = cosmo_utils.e_z(zlya, **cosmo) * cosmo["h"]
except:
hval = -1.0
rsval = cosmo_utils.rs_zdrag_fast_camb(**cosmo)
invhrs = 1.0 / (hval * rsval)
valprob = likelihood_interp(invhrs)
return np.log(valprob)
def log_likelihood(N_nu=np.array(mycosmo['N_nu']), Y_He=np.array(mycosmo['Y_He']), h=np.array(mycosmo['h']), n=np.array(mycosmo['n']), omega_M_0=np.array(mycosmo['omega_M_0']), omega_b_0=np.array(mycosmo['omega_b_0']), omega_lambda_0=np.array(mycosmo['omega_lambda_0']), omega_n_0=np.array(mycosmo['omega_n_0']), sigma_8=np.array(mycosmo['sigma_8']), t_0=np.array(mycosmo['t_0']), tau=np.array(mycosmo['tau']), w=np.array(mycosmo['w']), z_reion=np.array(mycosmo['z_reion']),nmassless=mycosmo['Num_Nu_massless'],nmassive=mycosmo['Num_Nu_massive'],library='astropy'):
cosmo=mcmc.get_cosmology(N_nu,Y_He,h,n,omega_M_0,omega_b_0,omega_lambda_0,omega_n_0,sigma_8,t_0,tau,w,z_reion,nmassless,nmassive,library=library)
theobh2=cosmo['omega_b_0']*cosmo['h']**2
theoch2=(cosmo['omega_M_0']-cosmo['omega_b_0']-cosmo['omega_n_0'])*cosmo['h']**2
thethetamc=100*cosmo_utils.thetamc(**cosmo)
thevals=[theobh2,theoch2,thethetamc]
chi2=np.dot(np.dot(thevals-vals,invcovar),thevals-vals)
#chi2=np.sum((vals-thevals)**2/sigs**2)
return(-0.5*chi2)
def log_likelihood(N_nu=np.array(mycosmo['N_nu']), Y_He=np.array(mycosmo['Y_He']), h=np.array(mycosmo['h']), n=np.array(mycosmo['n']), omega_M_0=np.array(mycosmo['omega_M_0']), omega_b_0=np.array(mycosmo['omega_b_0']), omega_lambda_0=np.array(mycosmo['omega_lambda_0']), omega_n_0=np.array(mycosmo['omega_n_0']), sigma_8=np.array(mycosmo['sigma_8']), t_0=np.array(mycosmo['t_0']), tau=np.array(mycosmo['tau']), w=np.array(mycosmo['w']), z_reion=np.array(mycosmo['z_reion']),nmassless=mycosmo['Num_Nu_massless'],nmassive=mycosmo['Num_Nu_massive'],library='astropy'):
cosmo=mcmc.get_cosmology(N_nu,Y_He,h,n,omega_M_0,omega_b_0,omega_lambda_0,omega_n_0,sigma_8,t_0,tau,w,z_reion,nmassless,nmassive,library=library)
#print(cosmo['h'],cosmo['omega_M_0'],cosmo['omega_lambda_0'],cosmo['omega_M_0']+cosmo['omega_lambda_0'],cosmo['omega_k_0'],cosmo['w'])
if library == 'astropy': cosast=astropy.cosmology.wCDM(cosmo['h']*100,cosmo['omega_M_0'],cosmo['omega_lambda_0'],w0=cosmo['w'])
try:
if library == 'cosmolopy':
#print('log_likelihood lyaDR11 Da: cosmolopy')
daval=cosmolopy.distance.angular_diameter_distance(zlya,**cosmo)
elif library == 'astropy':
#print('log_likelihood lyaDR11 Da: astropy')
daval=cosast.angular_diameter_distance(zlya)
elif library == 'jc':
#print('log_likelihood lyaDR11 Da: jc')
daval=cosmo_utils.angdist(zlya,**cosmo)
except:
daval=-1.
try:
if library == 'cosmolopy':
#print('log_likelihood lyaDR11 Hz: cosmolopy')
hval=cosmolopy.distance.e_z(zlya,**cosmo)*cosmo['h']
elif library == 'astropy':
#print('log_likelihood lyaDR11 Hz: astropy')
hval=cosmo['h']/cosast.inv_efunc(zlya)
elif library == 'jc':
#print('log_likelihood lyaDR11 Hz: jc')
hval=cosmo_utils.e_z(zlya,**cosmo)*cosmo['h']
except:
hval=-1.
rsval=cosmo_utils.rs_zdrag_fast_camb(**cosmo)
invhrs=1./(hval*rsval)
da_rs=daval/rsval
valprob=likelihood_interp(invhrs,da_rs)
return(np.log(valprob))
def log_likelihood(N_nu=np.array(mycosmo['N_nu']), Y_He=np.array(mycosmo['Y_He']), h=np.array(mycosmo['h']), n=np.array(mycosmo['n']), omega_M_0=np.array(mycosmo['omega_M_0']), omega_b_0=np.array(mycosmo['omega_b_0']), omega_lambda_0=np.array(mycosmo['omega_lambda_0']), omega_n_0=np.array(mycosmo['omega_n_0']), sigma_8=np.array(mycosmo['sigma_8']), t_0=np.array(mycosmo['t_0']), tau=np.array(mycosmo['tau']), w=np.array(mycosmo['w']), z_reion=np.array(mycosmo['z_reion']),nmassless=mycosmo['Num_Nu_massless'],nmassive=mycosmo['Num_Nu_massive'],library='astropy'):
cosmo=mcmc.get_cosmology(N_nu,Y_He,h,n,omega_M_0,omega_b_0,omega_lambda_0,omega_n_0,sigma_8,t_0,tau,w,z_reion,nmassless,nmassive,library=library)
chi2=(cosmo['omega_b_0']*cosmo['h']**2-0.02207)**2/(0.00033*2)**2
return(-0.5*chi2)