pellminX,pellmaxX,beamY=beamY,noiseTY=noiseTY, \
noisePY=noisePY,tellminY=tellminY,tellmaxY=tellmaxY, \
pellminY=pellminY,pellmaxY=pellmaxY)
ls, Nls = myNls.getNl(polComb=polComb, halo=halo)
fileName = saveRoot + getFileNameString([
'gradCut', 'polComb', 'beamY', 'noiseY', 'grad',
'tellminY', 'pellminY', 'tellmaxY', 'pellmaxY', 'kmin',
'deg', 'px'
], [
gradCut, polComb, beamY, noiseY, lab, tellminY,
pellminY, tellmaxY, pellmaxY, kmin, deg, px
]) + ".txt"
np.savetxt(fileName, np.vstack((ls, Nls)).transpose())
if (polComb == 'EB' or polComb
== 'TB') and (delensTolerance is not None):
ls, Nls = myNls.iterativeDelens(
polComb, delensTolerance, halo)
fileName = saveRoot + getFileNameString([
'gradCut', 'polComb', 'beamY', 'noiseY', 'grad',
'tellminY', 'pellminY', 'tellmaxY', 'pellmaxY',
'kmin', 'deg', 'px', 'delens'
], [
gradCut, polComb, beamY, noiseY, lab, tellminY,
pellminY, tellmaxY, pellmaxY, kmin, deg, px,
delensTolerance
]) + ".txt"
np.savetxt(fileName, np.vstack((ls, Nls)).transpose())
labname = os.path.basename(noiseFile)[:-4]
noiseFileY = noiseFile
nTX,nPX,nTY,nPY = myNls.updateNoise(beamX,noiseTX,noisePX,tellminX,tellmaxX, \
pellminX,pellmaxX,beamY=beamY,noiseTY=noiseTY, \
noisePY=noisePY,tellminY=tellminY,tellmaxY=tellmaxY, \
pellminY=pellminY,pellmaxY=pellmaxY,lkneesX=(lkneeTX,lkneePX), \
alphasX=(alphaTX,alphaPX), \
lkneesY=(lkneeTY,lkneePY),alphasY=(alphaTY,alphaPY), noiseFilePX = noiseFile,noiseFilePY=noiseFileY)
if polComb=='EB' and delens:
ls, Nls,efficiency = myNls.iterativeDelens(polComb,delensTolerance,halo,verbose=False)
#print "percentage efficiency ", efficiency , " %"
else:
ls,Nls = myNls.getNl(polComb=polComb,halo=halo)
# if True: #noiseFile is not None:
# #ls,Nls = np.loadtxt(noiseFile,unpack=True)
# #pl.add(ls,Nls,label=labname,ls=lines,alpha=alpha,lw=lw)
# binner = bin2D(myNls.N.modLMap,frangeC)
# lcents,Nlbinned = binner.bin(nPX)
# pl.add(lcents,Nlbinned,label=labname,ls="--")
pl.add(ls,Nls,label=labname,ls=lines,alpha=alpha)
if swap:
tempB = beamY
beamY = beamX
beamX = tempB
nTX,nPX,nTY,nPY = myNls.updateNoise(beamX,noiseTX,noisePX,tellminX,tellmaxX, \
pellminX,pellmaxX,beamY=beamY,noiseTY=noiseTY, \
noisePY=noisePY,tellminY=tellminY,tellmaxY=tellmaxY, \
pellminY=pellminY,pellmaxY=pellmaxY,lkneesX=(lkneeTX,lkneePX), \
alphasX=(alphaTX,alphaPX), \
lkneesY=(lkneeTY,lkneePY),alphasY=(alphaTY,alphaPY))
if polComb == 'EB' and delens:
ls, Nls, efficiency = myNls.iterativeDelens(
polComb, delensTolerance, halo)
print "percentage efficiency ", efficiency, " %"
else:
ls, Nls = myNls.getNl(polComb=polComb, halo=halo)
pl.add(ls, Nls, label=str(beamX))
#pl.add(myNls.N.cents,myNls.N.wxy,label=str(beamX))
LF = LensForecast()
LF.loadKK(frange, Clkk, ls, Nls)
sn, errs = LF.sn(snrange, fsky, "kk")
sns.append(sn)
pl.add(frange, Clkk, color="black")
#pl.legendOn(loc='lower left',labsize = 8)
lmap = lm.makeEmptyCEATemplate(raSizeDeg=arc / 60.,
decSizeDeg=arc / 60.,
pixScaleXarcmin=px,
pixScaleYarcmin=px)
bin_edges = np.arange(kellmin, kellmax, num_ells)
myNls = NlGenerator(lmap, theory, bin_edges, gradCut=gradCut)
myNls.updateNoise(beam, noiseT, noiseP, tellmin, tellmax, pellmin, pellmax)
####
pl = Plotter(scaleY='log') #,scaleX='log')
pl.add(ellkk, 4. * Clkk / 2. / np.pi)
# CHECK THAT NORM MATCHES HU/OK
for polComb, col in zip(polCombList, colorList):
if polComb == 'EB':
lsold, Nlsold, eff = myNls.iterativeDelens(polComb, 1.0, True)
else:
lsold, Nlsold = myNls.getNl(polComb=polComb, halo=halo)
try:
huFile = 'data/hu_' + polComb.lower() + '.csv'
huell, hunl = np.loadtxt(huFile, unpack=True, delimiter=',')
except:
huFile = 'data/hu_' + polComb[::-1].lower() + '.csv'
huell, hunl = np.loadtxt(huFile, unpack=True, delimiter=',')
pl.add(Ls,
4. * crosses[polComb + polComb] / 2. / np.pi,
color=col,
label=polComb)
#pl.add(Ls,4.*Nls[polComb]/2./np.pi,color=col,alpha=0.2)
