def get_qubic_map(instrument, sampling, scene, input_maps, withplanck=True, covlim=0.1):
acq = QubicAcquisition(instrument, sampling, scene, photon_noise=False)
C = acq.get_convolution_peak_operator()
coverage = acq.get_coverage()
observed = coverage > covlim * np.max(coverage)
acq_restricted = acq[:, :, observed]
H = acq_restricted.get_operator()
x0_convolved = C(input_maps)
if not withplanck:
pack = PackOperator(observed, broadcast='rightward')
y_noiseless = H(pack(x0_convolved))
noise = acq.get_noise()
y = y_noiseless + noise
print(std(noise))
invntt = acq.get_invntt_operator()
A = H.T * invntt * H
b = (H.T * invntt)(y)
preconditioner = DiagonalOperator(1 / coverage[observed], broadcast='rightward')
solution_qubic = pcg(A, b, M=preconditioner, disp=True, tol=1e-3, maxiter=1000)
maps = pack.T(solution_qubic['x'])
maps[~observed] = 0
else:
acq_planck = PlanckAcquisition(150, acq.scene, true_sky=x0_convolved, fix_seed=True)
acq_fusion = QubicPlanckAcquisition(acq, acq_planck)
map_planck_obs=acq_planck.get_observation()
H = acq_fusion.get_operator()
invntt = acq_fusion.get_invntt_operator()
y = acq_fusion.get_observation()
A = H.T * invntt * H
b = H.T * invntt * y
solution_fusion = pcg(A, b, disp=True, maxiter=1000, tol=1e-3)
maps = solution_fusion['x']
maps[~observed] = 0
x0_convolved[~observed,:]=0
return(maps, x0_convolved, observed)
#hp.mollview(mapq) #hp.mollview(mapu) x0=np.array([mapi,mapq,mapu]).T ### Prepare input / output data nside = 64 scene = QubicScene(nside, kind='IQU') acq = QubicAcquisition(instrument, sampling, scene) C = acq.get_convolution_peak_operator() coverage = acq.get_coverage() observed = coverage > 0.1*np.max(coverage) acq_restricted = acq[:, :, observed] H = acq_restricted.get_operator() x0_convolved = C(x0) acq_planck = PlanckAcquisition(150, acq.scene, true_sky=x0_convolved, fix_seed=True, factor=1) acq_fusion = QubicPlanckAcquisition(acq, acq_planck) map_planck_obs=acq_planck.get_observation() H = acq_fusion.get_operator() invntt = acq_fusion.get_invntt_operator() A = H.T * invntt * H ### Questions # - how to have input map at 256 and reconstructed at 64 ? # - am I getting new QUBIC noise by calling twice acq_fusion.get_observation() # if not: how to do it ? # - Actually I want to make maps with 50% of the detectors rather than calling it twice # - The Planck noise will be on both maps, and will therefore remain as a bias ? # - I need to try with pure QUBIC reconstruction as well