def test_primary_beam():
def primary_beam(theta, phi):
import numpy as np
with settingerr(invalid='ignore'):
return theta <= np.radians(9)
a = QubicAcquisition(150, s, primary_beam=primary_beam)
p = a.get_projection_operator()
assert_equal(p.matrix.ncolmax, 5)
def test_primary_beam():
def primary_beam(theta, phi):
import numpy as np
with settingerr(invalid='ignore'):
return theta <= np.radians(9)
a = QubicAcquisition(150, s, primary_beam=primary_beam)
p = a.get_projection_operator()
assert_equal(p.matrix.ncolmax, 5)
delta_az = 15.
angspeed_psi = 0.1
maxpsi = 45.
nsweeps_el = 300
duration = 24 # hours
ts = 20 # seconds
sampling = create_sweeping_pointings(
[racenter, deccenter], duration, ts, angspeed, delta_az, nsweeps_el,
angspeed_psi, maxpsi)
# acquisition model
acq = QubicAcquisition(150, sampling, kind='I', synthbeam_fraction=0.99,
detector_sigma=sigma, detector_fknee=fknee,
detector_fslope=fslope, detector_ncorr=ncorr)
C = acq.get_convolution_peak_operator()
P = acq.get_projection_operator()
H = P * C
# produce the Time-Ordered data
y = H(x0)
# noise
psd = _gaussian_psd_1f(len(acq.sampling), sigma=sigma, fknee=fknee,
fslope=fslope, sampling_frequency=1/ts)
invntt = acq.get_invntt_operator()
noise = acq.get_noise()
# map-making
coverage = P.pT1()
mask = coverage > 10
P = P.restrict(mask, inplace=True)
[racenter, deccenter], duration, ts, angspeed, delta_az, nsweeps_el,
angspeed_psi, maxpsi)
tods = {}
pTxs = {}
pT1s = {}
pTx_pT1s = {}
cbiks = {}
outputs = {}
kinds = ['I', 'QU', 'IQU']
input_maps = [I,
np.array([Q, U]).T,
np.array([I, Q, U]).T]
for kind, input_map in zip(kinds, input_maps):
acq = QubicAcquisition(150, pointings, kind=kind)
P = acq.get_projection_operator()
W = acq.get_hwp_operator()
H = W * P
coverage = P.pT1()
tod = H(input_map)
tods[kind] = tod
pTxs[kind] = H.T(tod)[coverage > 0]
if kind != 'QU':
pTx_pT1 = P.pTx_pT1(tod)
pTx_pT1s[kind] = pTx_pT1[0][coverage > 0], pTx_pT1[1][coverage > 0]
cbik = P.canonical_basis_in_kernel()
mask = coverage > 10
P = P.restrict(mask, inplace=True)
unpack = UnpackOperator(mask, broadcast='rightward')
x0 = unpack.T(input_map)
