TCMB = 2.7255e6
hugeTemplate = lm.makeEmptyCEATemplate(degx,degy,pixScaleXarcmin=px,pixScaleYarcmin=px)
lxMap,lyMap,modLMap,thetaMap,lx,ly = fmaps.getFTAttributesFromLiteMap(hugeTemplate)
nfreq = modLMap.max()
assert nfreq>cmbellmax
assert nfreq>kellmax
from orphics.tools.cmb import loadTheorySpectraFromCAMB
cambRoot = os.environ['HOME']+"/repos/cmb-lensing-projections/data/TheorySpectra/ell28k_highacc"
theory = loadTheorySpectraFromCAMB(cambRoot,unlensedEqualsLensed=True,useTotal=False,TCMB = 2.7255e6,lpad=9000)
#theory = loadTheorySpectraFromCAMB(cambRoot,unlensedEqualsLensed=False,useTotal=False,TCMB = 2.7255e6,lpad=9000)
Nlfuncdict={}
Nlfuncdict['TT'] = cmb.get_noise_func(beamArcmin,noiseT,TCMB=TCMB)
Nlfuncdict['EE'] = cmb.get_noise_func(beamArcmin,noiseP,TCMB=TCMB)
Nlfuncdict['BB'] = cmb.get_noise_func(beamArcmin,noiseP,TCMB=TCMB)
print modLMap.shape
dlx = np.diff(lxMap,axis=1)[0,0]
dly = np.diff(lyMap,axis=0)[0,0]
Lmin = kellmin #10.
Lmax = kellmax #2000.
#Ls = np.logspace(np.log10(Lmin),np.log10(Lmax),num_ells)
Ls = np.linspace(Lmin,Lmax,num_ells)
lx1 = lyMap
alpha = -4.6
bin_edges = np.arange(ellmin_cmb,ellmax_cmb,dell_cmb)
ellfine = np.arange(ellmin_cmb,ellmax_cmb,1)
binner = stats.bin2D(modLMap,bin_edges)
cents, pcls = binner.bin(pwindow)
cc = Cosmology(lmax=lmax,pickling=True)
theory = cc.theory
cltt = theory.lCl('TT',ellfine)
cltt2d = theory.lCl('TT',modLMap)
nfunc = cmb.get_noise_func(beamArcmin,noiseMukArcmin,ellmin=ellmin_cmb,ellmax=ellmax_cmb,TCMB=2.7255e6,lknee=lknee,alpha=alpha)
nells = nfunc(ellfine)
n2d = nfunc(modLMap)
n2dp = n2d/pwindow**2.
cents, nclsp = binner.bin(n2dp)
cents, ncls = binner.bin(n2d)
pl = io.Plotter(scaleY='log',scaleX='log')
pl.add(ellfine,cltt*ellfine**2.)
pl.add(ellfine,nells*ellfine**2.,ls="--")
pl.add(cents,nclsp*cents**2.,ls="-.")
pl.legendOn()
clkk.resize((clkk.shape[-1]))
pl = io.Plotter(scaleY='log', scaleX='log')
pl.add(fine_ells, clkk)
pl.add(cents, bclkk)
pl.done(out_dir + "clkk.png")
phi, fphi = lt.kappa_to_phi(kappa_map, modlmap_sim, return_fphi=True)
io.quickPlot2d(kappa_map, out_dir + "kappa_map.png")
io.quickPlot2d(phi, out_dir + "phi.png")
alpha_pix = enmap.grad_pixf(fphi)
# === EXPERIMENT ===
if deconvolve_beam:
ntfunc = cmb.get_noise_func(beam_arcmin,
noise_T_uK_arcmin,
ellmin=tellmin,
ellmax=tellmax,
TCMB=TCMB)
npfunc = cmb.get_noise_func(beam_arcmin,
noise_P_uK_arcmin,
ellmin=pellmin,
ellmax=pellmax,
TCMB=TCMB)
else:
ntfunc = lambda x: modlmap_dat * 0. + (np.pi / (
180. * 60))**2. * noise_T_uK_arcmin**2. / TCMB**2.
npfunc = lambda x: modlmap_dat * 0. + (np.pi / (
180. * 60))**2. * noise_P_uK_arcmin**2. / TCMB**2.
kbeam_sim = cmb.gauss_beam(modlmap_sim, beam_arcmin)
ps_noise = np.zeros((3, 3, pix_ells.size))
# beam = 7.0
# noiseT = 27.0
# noiseP = 56.5
tellmin = 100.
tellmax = 3000.
pellmin = 100.
pellmax = 5000.
beam = 1.0
noiseT = 3.0
noiseP = np.sqrt(2.) * noiseT
noiseFuncTX = cmb.get_noise_func(beam,
noiseT,
ellmin=tellmin,
ellmax=tellmax,
TCMB=TCMB)
noiseFuncEX = cmb.get_noise_func(beam,
noiseP,
ellmin=pellmin,
ellmax=pellmax,
TCMB=TCMB)
noiseFuncTY = noiseFuncTX
noiseFuncEY = noiseFuncBY = noiseFuncBX = noiseFuncEX
Ls, Nls, crosses, Nmv = isotropic_noise_full_lensing_covariance(
polCombList,
theory,
noiseFuncTX,
noiseFuncEX,