本文整理匯總了Python中qubic.QubicAcquisition.get_observation方法的典型用法代碼示例。如果您正苦於以下問題：Python QubicAcquisition.get_observation方法的具體用法？Python QubicAcquisition.get_observation怎麽用？Python QubicAcquisition.get_observation使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類qubic.QubicAcquisition的用法示例。
在下文中一共展示了QubicAcquisition.get_observation方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: write_reference
# 需要導入模塊: from qubic import QubicAcquisition [as 別名]
# 或者: from qubic.QubicAcquisition import get_observation [as 別名]
def write_reference():
np.random.seed(0)
p = create_random_pointings([0, 90], NPTG, ANGLE)
FitsArray([p.azimuth, p.elevation, p.pitch, p.angle_hwp]).save(FILEPTG)
for kind, map, filename in zip(['I', 'IQU'], [MAPIQU[..., 0], MAPIQU],
[FILETODI, FILETODIQU]):
acq = QubicAcquisition(INSTRUMENT, p, nside=256, kind=kind)
tod = acq.get_observation(map, noiseless=True)
FitsArray(tod).save(filename)示例2: PlanckAcquisition
# 需要導入模塊: from qubic import QubicAcquisition [as 別名]
# 或者: from qubic.QubicAcquisition import get_observation [as 別名]
acq_planck = PlanckAcquisition(150, acq_qubic.scene, true_sky=convolved_sky)
acq_fusion = QubicPlanckAcquisition(acq_qubic, acq_planck)
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=maxiter, tol=tol)
acq_qubic = QubicAcquisition(150, sampling, scene, effective_duration=1)
H = acq_qubic.get_operator()
invntt = acq_qubic.get_invntt_operator()
y, sky_convolved = acq_qubic.get_observation(sky, convolution=True)
A = H.T * invntt * H
b = H.T * invntt * y
solution_qubic = pcg(A, b, disp=True, maxiter=maxiter, tol=tol)
# some display
def display(input, msg, iplot=1):
out = []
for i, (kind, lim) in enumerate(zip('IQU', [50, 5, 5])):
map = input[..., i]
out += [hp.gnomview(map, rot=center, reso=5, xsize=800, min=-lim,
max=lim, title=msg + ' ' + kind,
sub=(3, 3, iplot + i), return_projected_map=True)]示例3: gal2equ
# 需要導入模塊: from qubic import QubicAcquisition [as 別名]
# 或者: from qubic.QubicAcquisition import get_observation [as 別名]
# read the input map
x0 = qubic.io.read_map(qubic.data.PATH + 'syn256_pol.fits', field='I_STOKES')
nside = 256
# let's take the galactic north pole as the center of the observation field
center_gal = 0, 90
center = gal2equ(center_gal[0], center_gal[1])
# sampling model
np.random.seed(0)
sampling = create_random_pointings(center, 1000, 10)
scene = QubicScene(nside, kind='I')
# acquisition model
acq = QubicAcquisition(150, sampling, scene)
y, x0_convolved = acq.get_observation(x0, convolution=True, noiseless=True)
# map-making
x, coverage = tod2map_all(acq, y, disp=True, tol=1e-4, coverage_threshold=0)
mask = coverage > 0
# some display
def display(x, title):
x = x.copy()
x[~mask] = np.nan
hp.gnomview(x, rot=center_gal, reso=5, xsize=600, min=-200, max=200,
title=title)
display(x0, 'Original map')
display(x0_convolved, 'Convolved original map')示例4: func
# 需要導入模塊: from qubic import QubicAcquisition [as 別名]
# 或者: from qubic.QubicAcquisition import get_observation [as 別名]
def func(kind, map, filename):
acq = QubicAcquisition(INSTRUMENT, p, nside=256, kind=kind)
tod = acq.get_observation(map, noiseless=True)
ref = FitsArray(filename)
np.testing.assert_almost_equal(tod, ref)示例5: import
# 需要導入模塊: from qubic import QubicAcquisition [as 別名]
# 或者: from qubic.QubicAcquisition import get_observation [as 別名]
from qubic import (
create_random_pointings, gal2equ, QubicAcquisition, QubicScene,
tod2map_all)
import numpy as np
import qubic
# read the input map
input_map = qubic.io.read_map(qubic.data.PATH + 'syn256_pol.fits',
field='I_STOKES')
nside = 256
# let's take the galactic north pole as the center of the observation field
center_gal = 0, 90
center = gal2equ(center_gal[0], center_gal[1])
# sampling model
np.random.seed(0)
sampling = create_random_pointings(center, 1000, 10)
scene = QubicScene(nside, kind='I')
# acquisition model
acq = QubicAcquisition(150, sampling, scene)
hit = acq.get_hitmap()
# Produce the Time-Ordered data
tod = acq.get_observation(input_map)
output_map, coverage = tod2map_all(acq, tod)
print acq.comm.rank, output_map[coverage > 0][:5]
print acq.comm.rank, hit[hit > 0][:10]