def __init__(self,
lib_dir,
lmax,
nside,
cl,
transf,
ninv,
pcf='default',
chain_descr=None):
assert lib_dir is not None and lmax >= 1024 and nside >= 512, (lib_dir,
lmax,
nside)
super(cinv_p, self).__init__(lib_dir, lmax)
self.nside = nside
self.cl = cl
self.transf = transf
self.ninv = ninv
pcf = os.path.join(lib_dir, "dense.pk") if pcf == 'default' else None
if chain_descr is None: chain_descr = \
[[2, ["split(dense(" + pcf + "), 32, diag_cl)"], 512, 256, 3, 0.0, cd_solve.tr_cg,cd_solve.cache_mem()],
[1, ["split(stage(2), 512, diag_cl)"], 1024, 512, 3, 0.0, cd_solve.tr_cg, cd_solve.cache_mem()],
[0, ["split(stage(1), 1024, diag_cl)"], lmax, nside, np.inf, 1.0e-5, cd_solve.tr_cg, cd_solve.cache_mem()]]
n_inv_filt = util.jit(opfilt_pp.alm_filter_ninv, ninv,
transf[0:lmax + 1])
self.chain = util.jit(multigrid.multigrid_chain, opfilt_pp,
chain_descr, cl, n_inv_filt)
if mpi.rank == 0:
if not os.path.exists(lib_dir):
os.makedirs(lib_dir)
if not os.path.exists(os.path.join(lib_dir, "filt_hash.pk")):
pk.dump(self.hashdict(),
open(os.path.join(lib_dir, "filt_hash.pk"), 'wb'),
protocol=2)
if not os.path.exists(os.path.join(self.lib_dir, "fbl.dat")):
fel, fbl = self._calc_febl()
np.savetxt(os.path.join(self.lib_dir, "fel.dat"), fel)
np.savetxt(os.path.join(self.lib_dir, "fbl.dat"), fbl)
if not os.path.exists(os.path.join(self.lib_dir, "tal.dat")):
np.savetxt(os.path.join(self.lib_dir, "tal.dat"),
self._calc_tal())
if not os.path.exists(os.path.join(self.lib_dir, "fmask.fits.gz")):
hp.write_map(os.path.join(self.lib_dir, "fmask.fits.gz"),
self._calc_mask())
mpi.barrier()
utils.hash_check(
pk.load(open(os.path.join(lib_dir, "filt_hash.pk"), 'rb')),
self.hashdict())
def __init__(self,
lib_dir,
lmax,
nside,
cl,
transf,
ninv,
marge_maps_t=(),
marge_monopole=False,
marge_dipole=False,
pcf='default',
rescal_cl='default'):
"""Instance for joint temperature-polarization filtering
Here ninv is a list of lists with mask paths and / or inverse pixel noise levels.
TT, (QQ + UU) / 2 if len(ninv) == 2 or TT, QQ, QU UU if == 4
e.g. [[iNevT,mask1,mask2,..],[iNevP,mask1,mask2...]]
"""
assert (lmax >= 1024)
assert (nside >= 512)
assert len(
ninv) == 2 or len(ninv) == 4 # TT, (QQ + UU)/2 or TT,QQ,QU,UU
if rescal_cl == 'default':
rescal_cl = np.sqrt(
np.arange(lmax + 1, dtype=float) *
np.arange(1, lmax + 2, dtype=float) / 2. / np.pi)
elif rescal_cl is None:
rescal_cl = np.ones(lmax + 1, dtype=float)
dl = {k: rescal_cl**2 * cl[k][:lmax + 1]
for k in cl.keys()} # rescaled cls (Dls by default)
transf_dl = transf[:lmax + 1] * utils.cli(rescal_cl)
self.lmax = lmax
self.nside = nside
self.cl = cl
self.transf = transf
self.ninv = ninv
self.marge_maps_t = marge_maps_t
self.marge_maps_p = []
self.lib_dir = lib_dir
self.rescal_cl = rescal_cl
pcf = lib_dir + "/dense_tp.pk" if pcf == 'default' else None
chain_descr = [[
3, ["split(dense(" + pcf + "), 64, diag_cl)"], 256, 128, 3, 0.0,
cd_solve.tr_cg,
cd_solve.cache_mem()
],
[
2, ["split(stage(3), 256, diag_cl)"], 512, 256, 3,
0.0, cd_solve.tr_cg,
cd_solve.cache_mem()
],
[
1, ["split(stage(2), 512, diag_cl)"], 1024, 512, 3,
0.0, cd_solve.tr_cg,
cd_solve.cache_mem()
],
[
0, ["split(stage(1), 1024, diag_cl)"], lmax, nside,
np.inf, 1.0e-5, cd_solve.tr_cg,
cd_solve.cache_mem()
]]
n_inv_filt = util.jit(opfilt_tp.alm_filter_ninv,
ninv,
transf_dl,
marge_maps_t=marge_maps_t,
marge_monopole=marge_monopole,
marge_dipole=marge_dipole)
self.chain = util.jit(multigrid.multigrid_chain, opfilt_tp,
chain_descr, dl, n_inv_filt)
if mpi.rank == 0:
if not os.path.exists(lib_dir):
os.makedirs(lib_dir)
if not os.path.exists(os.path.join(lib_dir, "filt_hash.pk")):
pk.dump(self.hashdict(),
open(os.path.join(lib_dir, "filt_hash.pk"), 'wb'),
protocol=2)
# if (not os.path.exists(self.lib_dir + "/fbl.dat")):
# fel, fbl = self.calc_febl()
# fel.write(self.lib_dir + "/fel.dat", lambda l: 1.0)
# fbl.write(self.lib_dir + "/fbl.dat", lambda l: 1.0)
# if (not os.path.exists(self.lib_dir + "/tal.dat")):
# tal = self.calc_tal()
# tal.write(self.lib_dir + "/tal.dat", lambda l: 1.0)
if not os.path.exists(os.path.join(self.lib_dir, "fmask.fits.gz")):
fmask = self.calc_mask()
hp.write_map(os.path.join(self.lib_dir, "fmask.fits.gz"),
fmask)
mpi.barrier()
utils.hash_check(
pk.load(open(os.path.join(lib_dir, "filt_hash.pk"), 'rb')),
self.hashdict())
def __init__(self,
lib_dir,
lmax,
nside,
cl,
transf,
ninv,
marge_monopole=True,
marge_dipole=True,
marge_maps=(),
pcf='default',
chain_descr=None):
assert lib_dir is not None and lmax >= 1024 and nside >= 512, (lib_dir,
lmax,
nside)
assert isinstance(ninv, list)
super(cinv_t, self).__init__(lib_dir, lmax)
self.nside = nside
self.cl = cl
self.transf = transf
self.ninv = ninv
self.marge_monopole = marge_monopole
self.marge_dipole = marge_dipole
self.marge_maps = marge_maps
pcf = os.path.join(
lib_dir, "dense.pk"
) if pcf == 'default' else '' # Dense matrices will be cached there.
if chain_descr is None: chain_descr = \
[[3, ["split(dense(" + pcf + "), 64, diag_cl)"], 256, 128, 3, 0.0, cd_solve.tr_cg, cd_solve.cache_mem()],
[2, ["split(stage(3), 256, diag_cl)"], 512, 256, 3, 0.0, cd_solve.tr_cg, cd_solve.cache_mem()],
[1, ["split(stage(2), 512, diag_cl)"], 1024, 512, 3, 0.0, cd_solve.tr_cg, cd_solve.cache_mem()],
[0, ["split(stage(1), 1024, diag_cl)"], lmax, nside, np.inf, 1.0e-5, cd_solve.tr_cg, cd_solve.cache_mem()]]
n_inv_filt = util.jit(opfilt_tt.alm_filter_ninv,
ninv,
transf[0:lmax + 1],
marge_monopole=marge_monopole,
marge_dipole=marge_dipole,
marge_maps=marge_maps)
self.chain = util.jit(multigrid.multigrid_chain, opfilt_tt,
chain_descr, cl, n_inv_filt)
if mpi.rank == 0:
if not os.path.exists(lib_dir):
os.makedirs(lib_dir)
if not os.path.exists(os.path.join(lib_dir, "filt_hash.pk")):
pk.dump(self.hashdict(),
open(os.path.join(lib_dir, "filt_hash.pk"), 'wb'),
protocol=2)
if not os.path.exists(os.path.join(self.lib_dir, "ftl.dat")):
np.savetxt(os.path.join(self.lib_dir, "ftl.dat"),
self._calc_ftl())
if not os.path.exists(os.path.join(self.lib_dir, "tal.dat")):
np.savetxt(os.path.join(self.lib_dir, "tal.dat"),
self._calc_tal())
if not os.path.exists(os.path.join(self.lib_dir, "fmask.fits.gz")):
hp.write_map(os.path.join(self.lib_dir, "fmask.fits.gz"),
self._calc_mask())
mpi.barrier()
utils.hash_check(
pk.load(open(os.path.join(lib_dir, "filt_hash.pk"), 'rb')),
self.hashdict())
def __init__(self,
lib_dir,
lmax,
nside,
cl,
transf,
ninv,
marge_maps_t=(),
marge_monopole=False,
marge_dipole=False,
pcf='default',
rescal_cl='default',
chain_descr=None,
transf_p=None):
"""Instance for joint temperature-polarization filtering
Args:
lib_dir: a few quantities might get cached there
lmax: CMB filtering performed up to multipole lmax
nside: healpy resolution of the input maps
cl: fiducial CMB spectra used to filter the data (dict with 'tt', 'te', 'ee', 'bb' keys)
transf: CMB transfer function in temperature
ninv: list of lists with mask paths and / or inverse pixel noise levels.
TT, (QQ + UU) / 2 if len(ninv) == 2 or TT, QQ, QU UU if == 4
e.g. [[iNevT,mask1,mask2,..],[iNevP,mask1,mask2...]]
marge_maps_t: maps to project out in the filtering (T-part)
marge_monopole: marginalizes out the T monopole if set
marge_dipole: marginalizes out the T dipole if set
chain_descr: preconditioner mulitgrid chain description (if different from default)
transf_p: polarization transfer function (if different from temperature)
"""
assert (lmax >= 1024)
assert (nside >= 512)
assert len(
ninv) == 2 or len(ninv) == 4 # TT, (QQ + UU)/2 or TT,QQ,QU,UU
if rescal_cl == 'default':
rescal_cl = {
a: np.sqrt(
np.arange(lmax + 1, dtype=float) *
np.arange(1, lmax + 2, dtype=float) / 2. / np.pi)
for a in ['t', 'e', 'b']
}
elif rescal_cl is None:
rescal_cl = {
a: np.ones(lmax + 1, dtype=float)
for a in ['t', 'e', 'b']
}
elif rescal_cl == 'tonly':
rescal_cl = {a: np.ones(lmax + 1, dtype=float) for a in ['e', 'b']}
rescal_cl['t'] = np.sqrt(
np.arange(lmax + 1, dtype=float) *
np.arange(1, lmax + 2, dtype=float) / 2. / np.pi)
else:
assert 0
for k in rescal_cl.keys():
rescal_cl[k] /= np.mean(
rescal_cl[k]
) # in order not mess around with the TEB relative weights of the spectra
dl = {
k: rescal_cl[k[0]] * rescal_cl[k[1]] * cl[k][:lmax + 1]
for k in cl.keys()
} # rescaled cls (Dls by default)
if transf_p is None:
transf_p = transf
transf_dls = {
a: transf_p[:lmax + 1] * utils.cli(rescal_cl[a])
for a in ['e', 'b']
}
transf_dls['t'] = transf[:lmax + 1] * utils.cli(rescal_cl['t'])
self.lmax = lmax
self.nside = nside
self.cl = cl
self.transf_t = transf
self.transf_p = transf_p
self.ninv = ninv
self.marge_maps_t = marge_maps_t
self.marge_maps_p = []
self.lib_dir = lib_dir
self.rescal_cl = rescal_cl
if chain_descr is None:
pcf = lib_dir + "/dense_tp.pk" if pcf == 'default' else None
chain_descr = [[
3, ["split(dense(" + pcf + "), 64, diag_cl)"], 256, 128, 3,
0.0, cd_solve.tr_cg,
cd_solve.cache_mem()
],
[
2, ["split(stage(3), 256, diag_cl)"], 512, 256,
3, 0.0, cd_solve.tr_cg,
cd_solve.cache_mem()
],
[
1, ["split(stage(2), 512, diag_cl)"], 1024,
512, 3, 0.0, cd_solve.tr_cg,
cd_solve.cache_mem()
],
[
0, ["split(stage(1), 1024, diag_cl)"], lmax,
nside, np.inf, 1.0e-5, cd_solve.tr_cg,
cd_solve.cache_mem()
]]
n_inv_filt = util.jit(opfilt_tp.alm_filter_ninv,
ninv,
transf_dls['t'],
b_transf_e=transf_dls['e'],
b_transf_b=transf_dls['b'],
marge_maps_t=marge_maps_t,
marge_monopole=marge_monopole,
marge_dipole=marge_dipole)
self.chain = util.jit(multigrid.multigrid_chain, opfilt_tp,
chain_descr, dl, n_inv_filt)
if mpi.rank == 0:
if not os.path.exists(lib_dir):
os.makedirs(lib_dir)
if not os.path.exists(os.path.join(lib_dir, "filt_hash.pk")):
pk.dump(self.hashdict(),
open(os.path.join(lib_dir, "filt_hash.pk"), 'wb'),
protocol=2)
if not os.path.exists(os.path.join(lib_dir, "fal.pk")):
pk.dump(self._calc_fal(),
open(os.path.join(lib_dir, "fal.pk"), 'wb'),
protocol=2)
if not os.path.exists(os.path.join(self.lib_dir, "fmask.fits.gz")):
fmask = self.calc_mask()
hp.write_map(os.path.join(self.lib_dir, "fmask.fits.gz"),
fmask)
mpi.barrier()
utils.hash_check(
pk.load(open(os.path.join(lib_dir, "filt_hash.pk"), 'rb')),
self.hashdict())