def redshift():
"""
Evolution with redshift of matter power spectrum
"""
zs = M.arange(0.,5.,2.)
for z in zs:
print z
c = pt.Camb(hubble = 70., ombh2 = 0.05*(0.7)**2, omch2 = 0.25*(0.7)**2,transfer_redshift = [z])
c.run()
ps = pt.PowerSpectrum(c.cp)
c.kextend(-10,60) #To ensure accurate sigma(r) -- if it doesn't, a warning will ensue
pt.normalizePk(c,0.8*ps.d1(z)/ps.d1(0.)) #sigma_8 at redshift z
#Sheth-Tormen
h = halo.HaloModel(c,st_big_a = 0., st_little_a=0.707, stq = 0.3, k = 10**M.arange(-2,2.01,0.2),massdivsperdex=5)
h.pmm = halo.getHaloPknl(c,h)
M.loglog(h.k, h.pmm, label='z='+str(z))
M.loglog(h.k, h.pk,'k:',label='linear')
cp_halofit = c.cp
cp_halofit['do_nonlinear'] = 1 # Halofit (Smith et al) fit
chalofit = pt.Camb(cambParam=cp_halofit)
chalofit.run()
wheretoplot = N.where(chalofit.k > 1e-2)[0]
M.loglog(chalofit.k[wheretoplot[::10]],chalofit.pk[wheretoplot[::10]],'--',label='halofit')
M.legend()
M.show()
def hod():
"""
Displays various galaxy power spectra w/ different HOD's.
See param.py for explanations of hod params.
camb needs to be in ../CAMB by default, but that can be changed in pt.py
"""
c = pt.Camb(hubble = 70., ombh2 = 0.05*(0.7)**2, omch2 = 0.25*(0.7)**2) #may want to go out to transfer_kmax=100 for high accuracy
c.run()
pt.normalizePk(c,0.8) #sigma_8
c.kextend(-10,60) #needed so that sigma(r) integral converges for a wide range of r
#Sheth-Tormen
h = halo.HaloModel(c,st_big_a = 0., st_little_a=0.707, stq = 0.3, k = 10**M.arange(-2,2.,0.1),massdivsperdex=5)
h.pmm = halo.getHaloPknl(c,h)
h.p.whichp='gg' # by default, h.p.whichp = 'mm', returning the matter power spectrum
# by default, h.p.k_mmin_msun = 1e11, h.p,k_betas = 1
mmins = 10.**M.arange(10.,12.01,0.2)
for i in range(len(mmins)):
h.p.k_mmin_msun = mmins[i]
h.refreshHOD(c)
h.pgg = halo.getHaloPknl(c,h)
M.loglog(h.k,h.pgg,'y')
M.loglog(h.k,h.pk,'k')
M.loglog(h.k,h.pmm,'b')
M.show()
betas = M.arange(0.5,1.5,0.1)
h.p.k_mmin_msun = 1e11
for i in range(len(betas)):
h.p.k_betas = betas[i]
h.refreshHOD(c)
h.pgg = halo.getHaloPknl(c,h)
M.loglog(h.k,h.pgg,'y')
M.loglog(h.k,h.pk,'k')
M.loglog(h.k,h.pmm,'b')
M.show()
