mask = enmap.read_map(
tutils.get_generic_fname(tdir,
region,
solution,
deproject=deproject,
data_comb=dcomb,
version="v1.1.1",
sim_index=None,
mask=True))
malm = cs.map2alm(mask, lmax=lmax)
ialm = cs.map2alm(imap, lmax=lmax)
malm = malm.astype(np.complex128, copy=False)
malm = rotate_alm(malm, 2000.0, 2000.0, 'C', 'G')
ialm = ialm.astype(np.complex128, copy=False)
ialm = rotate_alm(ialm, 2000.0, 2000.0, 'C', 'G')
imask = maps.binary_mask(hp.alm2map(malm, nside))
hmap = hmap + hp.alm2map(ialm, nside) * imask
hmask = hmask + imask
io.mollview(hmap, f'{froot}test_rot_{deproject}.png')
io.mollview(hmask, f'{froot}test_rot_mask_{deproject}.png')
hp.write_map(f'{froot}test_rot_{deproject}.fits', hmap, overwrite=True)
hp.write_map(f'{froot}test_rot_mask_{deproject}.fits',
hmask,
overwrite=True)
from __future__ import print_function
from orphics import io
from pixell import enmap, reproject
import numpy as np
import os, sys
import healpy as hp
from orphics.maps import galactic_mask, north_galactic_mask, south_galactic_mask
config = io.config_from_yaml(
os.path.dirname(os.path.abspath(__file__)) + "/../input/config.yml")
opath = config['data_path']
mask = hp.read_map(opath + config['mask_name'])
io.mollview(mask, 'hp_carmask.png')
print(mask.max(), mask.min())
nside = hp.nside2npix(mask.size)
lmax = 3000
# CAR resolution is decided based on lmax
res = np.deg2rad(2.0 * (3000 / lmax) / 60.)
# Make the full sky geometry
shape, wcs = enmap.band_geometry(np.deg2rad((-70, 30)), res=res)
#shape,wcs = enmap.fullsky_geometry(res=res)
# nside = 256
# nmask = north_galactic_mask(shape,wcs,nside)
# io.plot_img(nmask,'low_north_gal.png')
# nside = 256
from pixell import enmap
import numpy as np
import os,sys
from soapack import interfaces as sints
import healpy as hp
nside = 1024
beam = 13.315
ztt = np.load("tt.npy")*1e12
zls = np.arange(0,len(ztt),1)
froot = "/scratch/r/rbond/msyriac/data/planck/data/pr2/"
mask = hp.ud_grade(hp.read_map(froot + "COM_Mask_Lensing_2048_R2.00.fits"),nside)
mask = hp.smoothing(mask,fwhm=np.deg2rad(2))
io.mollview(mask,os.environ['WORK']+"/tiling/planck_mask.png")
fsky = mask.sum()/mask.size
print(fsky)
full = hp.read_map(froot + "LFI_SkyMap_070_1024_R2.01_full.fits")*mask*1e6
ring1 = hp.read_map(froot + "LFI_SkyMap_070_1024_R2.01_full-ringhalf-1.fits")*mask*1e6
ring2 = hp.read_map(froot + "LFI_SkyMap_070_1024_R2.01_full-ringhalf-2.fits")*mask*1e6
# full = hp.read_map(froot + "HFI_SkyMap_143_2048_R2.02_full.fits")*mask*1e6
# ring1 = hp.read_map(froot + "HFI_SkyMap_143_2048_R2.02_full-ringhalf-1.fits")*mask*1e6
# ring2 = hp.read_map(froot + "HFI_SkyMap_143_2048_R2.02_full-ringhalf-2.fits")*mask*1e6
# hm1 = hp.read_map(froot + "HFI_SkyMap_143_2048_R2.02_halfmission-1.fits")*mask*1e6
# hm2 = hp.read_map(froot + "HFI_SkyMap_143_2048_R2.02_halfmission-2.fits")*mask*1e6
# print(ring1.shape,hm1.shape)
pl.add(ls,nls,ls="--",label='theory noise per mode') pl._ax.set_xlim(20,4000) pl.done(config['data_path']+"xcls_%s.png" % polcomb) # Filtered input fikalm = hp.almxfl(ikalm,wfilt) fimap = hp.alm2map(fikalm,nside=256) # Resampled mask dmask = hp.ud_grade(mask,nside_out=256) dmask[dmask<0] = 0 # Mollview plots io.mollview(frmap*dmask,config['data_path']+"wrmap1.png",xsize=1600,lim=8e-6) io.mollview(fimap*dmask,config['data_path']+"wimap1.png",xsize=1600,lim=8e-6) # CAR plots shape,wcs = enmap.band_geometry(np.deg2rad((-70,30)),res=np.deg2rad(0.5*8192/512/60.)) omask = reproject.enmap_from_healpix(dmask, shape, wcs,rot=None) omap = cs.alm2map(fkalm, enmap.empty(shape,wcs)) io.hplot(omap*omask,config['data_path']+"cwrmap1",grid=True,ticks=20,color='gray') omap = cs.alm2map(fikalm, enmap.empty(shape,wcs)) io.hplot(omap*omask,config['data_path']+"cwimap1",grid=True,ticks=20,color='gray')
region,
"tsz",
'cib',
"joint",
beam=True)
imask = enmap.read_map(
tutils.get_generic_fname(tdir, region, "tsz", None, "joint",
mask=True))
dmask = hp.alm2map(
cs.map2alm(imask, lmax=lmax).astype(np.complex128), nside)
dmask[dmask < 0.5] = 0
dmask[dmask > 0.5] = 1
jmask = dmask * mask
io.mollview(jmask, os.environ['WORK'] + '/jmask_%s.png' % region)
fsky = jmask.sum() / jmask.size
print(fsky * 41252.)
delta = hdelta * jmask
galm = hp.map2alm(delta, lmax=lmax)
for bfile, imap in zip([ybfile, cbfile, dbfile], [ymap, cmap, dmap]):
yalm = hp.map2alm(
hp.alm2map(cs.map2alm(imap, lmax=lmax).astype(np.complex128),
nside=nside) * jmask,
lmax=lmax)
cls = hp.alm2cl(galm, yalm)
assert np.all(np.isfinite(cls))
ells = np.arange(len(cls))
lbeam = get_beam(bfile, ells)