Config = SafeConfigParser()
Config.optionxform = str
Config.read(iniFile)
#cls = np.loadtxt("data/Nov10_highAcc_CDM_lensedCls.dat")
cls = np.loadtxt("data/highell_lensedCls.dat")
print((cls.shape))
ells = np.arange(0, cls.shape[0])
cltt = cls[:, 1]
fwhm = 18. / 60.
rms_noise = 0.1
nls = cmb.noise_func(ells, fwhm, rms_noise,
TCMB=1.) * ells * (ells + 1.) / 2. / np.pi
lcross = ells[nls > cltt][0]
print(lcross)
pl = io.Plotter(scaleY='log', scaleX='log')
pl.add(ells, cltt)
pl.add(ells, nls)
pl._ax.axvline(x=lcross)
pl.done("cls.png")
lmax = 60000
#cambRoot = "data/Nov10_highAcc_CDM"
#cambRoot = "data/highell"
#clist = ["data/highell","data/highell_hf5","data/Nov10_highAcc_CDM"]
import numpy as np
import orphics.tools.cmb as cmb
import orphics.tools.io as io
fwhm = 0. #1.4 # beam convolved noise
rms_noise = 35.0
lknee = 2000.
alpha = -4.7
ell_fit = 5000.
lknee_guess = 500.
alpha_guess=-1.0
ells = np.arange(100.,8000.,30)
nls = cmb.noise_func(ells,fwhm,rms_noise,lknee,alpha)#*cmb.gauss_beam(ells,fwhm)**2.
nls += nls*np.random.normal(0.,0.05,size=nls.size)
pl = io.Plotter(scaleY='log')
pl.add(ells,nls*ells**2.)
noise_guess,lknee_fit,alpha_fit = cmb.fit_noise_power(ells,nls,ell_fit,lknee_guess,alpha_guess)
fit_nls = cmb.noise_func(ells,fwhm,noise_guess,lknee_fit,alpha_fit)#*cmb.gauss_beam(ells,fwhm)**2.
pl.add(ells,fit_nls*ells**2.,ls="--")
pl.done("noisetest.png")
f_nu_arr = f_nu(cc.c,np.array(freqs))
#print "TEST", np.sum(f_nu_arr - f_nu_arr2)
#print fq_mat
#print fq_mat_t
radio_mat = old_div(fgs.rad_ps(print_ells[4],fq_mat,fq_mat_t), cc.c['TCMBmuK']**2.)
#print "contraction", np.dot(np.transpose(f_nu_arr),np.dot(np.linalg.inv(radio_mat),f_nu_arr))
#print fgs.rad_ps(ls[10],fq_mat_t,fq_mat)/ls[10]/(ls[10]+1.)*2.*np.pi/ cc.c['TCMBmuK']**2.
#print fgs.rad_ps(ls[10],fq_mat_t,fq_mat)*0.0 + 1.
print(("noise", old_div(noise_func(print_ells[4],np.array(beams),np.array(noises),lknee,alpha,dimensionless=False), cc.c['TCMBmuK']**2.)))
fac_norm = ls*(ls+1.)/(2.*np.pi) * cc.c['TCMBmuK']**2
for fwhm,noiseT,testFreq in zip(beams,noises,freqs):
totCl = 0.
#print testFreq
noise = old_div(noise_func(ls,fwhm,noiseT,lknee,alpha,dimensionless=False), cc.c['TCMBmuK']**2.)
radio = fgs.rad_ps(ls,testFreq,testFreq)/ls/(ls+1.)*2.*np.pi/ cc.c['TCMBmuK']**2.
cibp = fgs.cib_p(ls,testFreq,testFreq) /ls/(ls+1.)*2.*np.pi/ cc.c['TCMBmuK']**2.
cibc = fgs.cib_c(ls,testFreq,testFreq)/ls/(ls+1.)*2.*np.pi/ cc.c['TCMBmuK']**2.
tsz = fgs.tSZ(ls,testFreq,testFreq)/ls/(ls+1.)*2.*np.pi/ cc.c['TCMBmuK']**2.
tsz_cib = np.abs(fgs.tSZ_CIB(ls,testFreq,testFreq)/ls/(ls+1.)*2.*np.pi/ cc.c['TCMBmuK']**2.)
pol_dust = fgs.gal_dust_pol(ls,testFreq,testFreq) /ls/(ls+1.)*2.*np.pi/ cc.c['TCMBmuK']**2.
beam = listFromConfig(Config, expName, 'beams')
noise = listFromConfig(Config, expName, 'noises')
freq = listFromConfig(Config, expName, 'freqs')
lkneeT, lkneeP = listFromConfig(Config, expName, 'lknee')
alphaT, alphaP = listFromConfig(Config, expName, 'alpha')
print((expName, beam, noise, lkneeT, lkneeP, alphaT, alphaP))
ind = np.where(np.isclose(freq, freq_to_use))
beamFind = np.array(beam)[ind]
noiseFind = np.array(noise)[ind]
nls = cmb.noise_func(ells,
beamFind,
noiseFind,
lknee=lkneeT,
alpha=alphaT,
dimensionless=False)
pl.add(ells, nls * ells**2., label=lab)
lkneeT = 1000.
nls = cmb.noise_func(ells,
beamFind,
noiseFind,
lknee=lkneeT,
alpha=alphaT,
TCMB=TCMB)
pl.add(ells, nls * ells**2., label='S4 1arc lknee=1000', alpha=0.5, ls="--")
lkneeT = 3000.
nls = cmb.noise_func(ells,