kmin = 100
kmax = getMax(polComb, tellmax, pellmax)
deg = 10.
px = 0.5
dell = 10
bin_edges = np.arange(kmin, kmax, dell) + dell
theory = loadTheorySpectraFromCAMB(cambRoot,
unlensedEqualsLensed=False,
useTotal=False,
lpad=9000)
lmap = lm.makeEmptyCEATemplate(raSizeDeg=deg,
decSizeDeg=deg,
pixScaleXarcmin=px,
pixScaleYarcmin=px)
myNls = NlGenerator(lmap, theory, bin_edges, gradCut=gradCut)
ellkk = np.arange(2, 9000, 1)
Clkk = theory.gCl("kk", ellkk)
pl = Plotter(scaleY='log', scaleX='log')
sns = []
snsM = []
overdensity = 500.
critical = True
atClusterZ = True
kellmax = 8000
outDir = "/gpfs01/astro/www/msyriac/plots/"
#px = 0.2
px = 0.5
dell = 10
theory = loadTheorySpectraFromCAMB(cambRoot,
unlensedEqualsLensed=False,
useTotal=False,
lpad=9000)
lmap = lm.makeEmptyCEATemplate(raSizeDeg=deg,
decSizeDeg=deg,
pixScaleXarcmin=px,
pixScaleYarcmin=px)
print((lmap.data.shape))
i = 0
for gradCut in [10000, 2000]:
myNls = NlGenerator(lmap, theory, gradCut=gradCut)
for polComb in ['TT', 'TE', 'EE', 'EB', 'ET', 'TB']:
for beamY in beamRange:
beamell = beamscale(beamY)
for tellmaxY, pellmaxY in [(3000, 5000), (beamell, beamell)]:
for noiseX,beamX,lab,tellminX,tellmaxX,pellminX,pellmaxX in \
[(noiseY,beamY,"sameGrad",tellminY,tellmaxY,pellminY,pellmaxY), \
(30.,7.0,"planckGrad",2,3000,2,3000)]:
noiseTX = noiseX
noisePX = np.sqrt(2.) * noiseTX
noiseTY = noiseY
noisePY = np.sqrt(2.) * noiseTY
kmax = getMax(polComb, tellmaxY, pellmaxY)
noiseRange = np.arange(3.0, 30.0, 4.0)
swap = False
#for polComb in ['TT','EB']:
for polComb in ['EB']:
for delens in [False, True]:
if polComb == 'TT' and delens: continue
pl = Plotter(scaleY='log', labelX="$L$", labelY="$C_L$")
sns = []
#for beamX in beamRange:
for noiseTX in noiseRange:
noisePX = np.sqrt(2.) * noiseTX
myNls = NlGenerator(lmap, theory, gradCut=gradCut)
kmax = getMax(polComb, tellmaxY, pellmaxY)
bin_edges = np.arange(kmin, kmax, dell) + dell
myNls.updateBins(bin_edges)
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, \
import flipper.liteMap as lm
from alhazen.quadraticEstimator import NlGenerator, getMax
dell = 10
gradCut = 2000
kellmin = 10
lmap = lm.makeEmptyCEATemplate(raSizeDeg=deg,
decSizeDeg=deg,
pixScaleXarcmin=px,
pixScaleYarcmin=px)
kellmax = max(tellmax, pellmax)
from orphics.theory.cosmology import Cosmology
cc = Cosmology(lmax=int(kellmax), pickling=True)
theory = cc.theory
bin_edges = np.arange(kellmin, kellmax, dell)
myNls = NlGenerator(lmap, theory, bin_edges, gradCut=gradCut)
from scipy.interpolate import interp1d
from orphics.tools.io import Plotter
ellkk = np.arange(2, 9000, 1)
Clkk = theory.gCl("kk", ellkk)
clfunc = interp1d(ellkk, Clkk, bounds_error=False, fill_value="extrapolate")
kellmax = 8000
cc = ClusterCosmology(cosmoDict, constDict, kellmax, pickling=True)
theory = cc.theory
pl = Plotter(labelX="Beam (arcmin)",
labelY="$\\sigma(M)/M$ for $N=1000$",
deg = 10.
px = 0.5
dell = 10
kellrange = np.arange(80.,2100.,10.)
Nlmvinv = 0.
pl = Plotter(scaleY='log')
for polComb in ['TT','TE','EE','EB']:
kmax = getMax(polComb,tellmaxY,pellmaxY)
bin_edges = np.arange(kmin,kmax,dell)+dell
lmap = lm.makeEmptyCEATemplate(raSizeDeg=deg, decSizeDeg=deg,pixScaleXarcmin=px,pixScaleYarcmin=px)
myNls = NlGenerator(lmap,theory,bin_edges,gradCut=gradCut)
myNls.updateBins(bin_edges)
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),lxcutTX=lxcutTX, \
lxcutTY=lxcutTY,lycutTX=lycutTX,lycutTY=lycutTY, \
lxcutPX=lxcutPX,lxcutPY=lxcutPY,lycutPX=lycutPX,lycutPY=lycutPY, \
fgFileX=fgFileX,beamFileX=beamFileX,fgFileY=fgFileY,beamFileY=beamFileY )
cbinner = bin2D(myNls.N.modLMap,cmb_bin_edges)
ells, Nells = cbinner.bin(nTX)
degy=5.,
px=px,
TCMB=TCMB,
halo=halo,
gradCut=gradCut)
### Nlgenerator cross-check
deg = 10.
px = 0.5
arc = deg * 60.
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'
px = 1.0
arc = deg * 60.
kellmin = 10
kellmax = 5000
bin_edges = np.arange(kellmin, kellmax, 10)
from orphics.theory.cosmology import Cosmology
cc = Cosmology(lmax=int(max(tellmax, pellmax, kellmax)), pickling=True)
theory = cc.theory
lmap = lm.makeEmptyCEATemplate(raSizeDeg=arc / 60.,
decSizeDeg=arc / 60.,
pixScaleXarcmin=px,
pixScaleYarcmin=px)
myNls = NlGenerator(lmap, theory, bin_edges, gradCut=gradCut)
myNls.updateNoise(beam, noiseT, noiseP, tellmin, tellmax, pellmin, pellmax)
polCombList = ['TT', 'EE', 'ET', 'EB', 'TB']
colorList = ['red', 'blue', 'green', 'orange', 'purple']
ellkk = np.arange(2, 9000, 1)
Clkk = theory.gCl("kk", ellkk)
lsmv, Nlmv, ells, dclbb, efficiency = myNls.getNlIterative(polCombList,
kellmin,
kellmax,
tellmax,
pellmin,
pellmax,
dell=10,
halo=True,