Omega_b h^2 = 0.0220
Dark cold matter density:
Omega_c h^2 = 0.1199
Spectral index
n_s = 0.9693
Hubble constant:
H_0 = 67.3 km s^-1 Mpc ^-1
Matter density:
Omega_m = 0.315
Optical depth
tau = 0.089
"""
# <codecell>
pert_object = Perturbations(M,z=1.0)
pert_object.update(omegab = 0.05)
print "Transfer Cosmo"
print pert_object._transfer_cosmo
print "Extra Cosmo"
print pert_object._extra_cosmo
print "Cosmo Params"
print pert_object.cosmo_params
# <codecell>
#kwargs = {'sigma_8':0.9}
#kwargs = {'z':6.0, 'sigma_8'}
#pert_object.update(**kwargs)
# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <codecell>
from hmf import Perturbations
import numpy as np
M = np.arange(10,15,0.01)
pert_object = Perturbations(M,z=0.0)
"""
PLANCK PARAMETERS (mar-2013)
Angular size of sound horizon at recombination
theta_* = (1.0414)*10^-2
Baryons density:
Omega_b h^2 = 0.0220
Omega_b = 0.0486
Dark cold matter density:
Omega_c h^2 = 0.1199
Omega_c = 0.2647
Spectral index
n_s = 0.9693
Hubble constant:
H_0 = 67.3 km s^-1 Mpc ^-1
h = 0.67.3
Matter density:
Omega_m = 0.315
Optical depth
tau = 0.089
"""
# <codecell>
#plt.savefig(directory + 'sigma.eps')
#===============================================================================
# fsigma and fsigma (Compare) one on the other
#===============================================================================
plt.clf()
M = np.linspace(10, 15, 501)
fig = plt.figure(figsize=(12 * 1.2, 7.0 * 1.2))
gs = gridspec.GridSpec(2, 1, height_ratios=[2, 1])
ax = [plt.subplot(gs[1])]
ax.insert(0, plt.subplot(gs[0], sharex=ax[0]))
ax[0].grid(True)
ax[1].grid(True)
pert = Perturbations(M)
vfv_ST = pert.fsigma
approaches = [
'PS', 'ST', 'Jenkins', 'Reed03', 'Warren', 'Reed07', 'Tinker', 'Crocce',
'Courtin', 'Bhattacharya', 'Angulo', 'Angulo_Bound', 'Watson_FoF',
'Watson', "Peacock", "Behroozi"
]
lines = ["-", "--", "-.", ":"]
ax[1].set_xlabel(xlab)
ax[0].set_ylabel(r'Fraction of Mass Collapsed, $f(\sigma)$')
ax[1].set_ylabel(r'$f(\sigma)/f_{\rm ST}(\sigma)$')
for i, approach in enumerate(approaches):
pert.update(mf_fit=approach)
ax[0].plot(10**M,
# -*- coding: utf-8 -*- # <nbformat>3.0</nbformat> # <codecell> from hmf import Perturbations import numpy as np M = np.arange(10,15,0.01) pert_object = Perturbations(M,z=6.0) object_mass_func = pert_object.dndlnm #Output: #WARNING: Unrecognized parameters: #transfer__kmax #transfer__k_per_logint # <codecell> #""" #PLANCK PARAMETERS (mar-2013) #Angular size of sound horizon at recombination # theta_* = (1.0414)*10^-2 #Baryons density: # Omega_b h^2 = 0.0220 # Omega_b = 0.0486 #Dark cold matter density: # Omega_c h^2 = 0.1199 # Omega_c = 0.2647 #Spectral index # n_s = 0.9693 #Hubble constant:
'''
This script explores the projected differences between using an EH and CAMB
transfer function.
'''
from hmf import Perturbations
import time
import numpy as np
omegab = [0.02, 0.05, 0.1]
omegac = [0.2, 0.25, 0.5]
H0 = [50, 70, 90]
n = [0.8, 0.9, 1.0]
pert_camb = Perturbations(transfer_fit="CAMB")
pert_EH = Perturbations(transfer_fit="EH")
camb_time = 0.0
eh_time = 0.0
for ob in omegab:
for oc in omegac:
for h in H0:
for nn in n:
pert_camb.update(omegab=ob, omegac=oc, H0=h, n=nn)
pert_EH.update(omegab=ob, omegac=oc, H0=h, n=nn)
start = time.time()
camb = pert_camb.dndm
camb_time += time.time() - start
start = time.time()
eh = pert_EH.dndm
import time
redshifts = [0.0, 1.0]
fits = ["ST", "PS"]
s8s = [0.8, 0.9]
omegavs = [0.7, 0.6]
#===============================================================================
# Do hmf first
#===============================================================================
# First do a "fair" comparison of a single calculation
start = time.time()
pert = Perturbations(M=np.linspace(3, 17, 1401),
k_bounds=np.exp([-21, 21]),
omegav=0.7,
omegab=0.05,
omegac=0.25,
H0=70.0,
n=1.0,
sigma_8=0.8)
#pert.dndlnm
pert.ngtm
time_hmf_1 = time.time() - start
#Now do a comparison of 2 redshifts, 2 fitting functions, 2 sigma_8s and 2 cosmos
start = time.time()
pert = Perturbations(M=np.linspace(3, 17, 1401),
k_bounds=np.exp([-21, 21]),
omegav=0.7,
omegab=0.05,
