def actualSetUp(self, freqwin=1, block=True, dopol=False, zerow=False):
self.npixel = 1024
self.low = create_named_configuration('LOWBD2', rmax=550.0)
self.freqwin = freqwin
self.blockvis_list = list()
self.ntimes = 5
self.cellsize = 0.0005
# Choose the interval so that the maximum change in w is smallish
integration_time = numpy.pi * (24 / (12 * 60))
self.times = numpy.linspace(-integration_time * (self.ntimes // 2), integration_time * (self.ntimes // 2),
self.ntimes)
if freqwin > 1:
self.frequency = numpy.linspace(0.8e8, 1.2e8, self.freqwin)
self.channelwidth = numpy.array(freqwin * [self.frequency[1] - self.frequency[0]])
else:
self.frequency = numpy.array([1.0e8])
self.channelwidth = numpy.array([4e7])
if dopol:
self.vis_pol = PolarisationFrame('linear')
self.image_pol = PolarisationFrame('stokesIQUV')
f = numpy.array([100.0, 20.0, -10.0, 1.0])
else:
self.vis_pol = PolarisationFrame('stokesI')
self.image_pol = PolarisationFrame('stokesI')
f = numpy.array([100.0])
self.phasecentre = SkyCoord(ra=+0.0 * u.deg, dec=-40.0 * u.deg, frame='icrs', equinox='J2000')
self.blockvis_list = [arlexecute.execute(ingest_unittest_visibility)(self.low,
[self.frequency[freqwin]],
[self.channelwidth[freqwin]],
self.times,
self.vis_pol,
self.phasecentre, block=block,
zerow=zerow)
for freqwin, _ in enumerate(self.frequency)]
self.blockvis_list = arlexecute.compute(self.blockvis_list, sync=True)
self.vis_list = [arlexecute.execute(convert_blockvisibility_to_visibility)(bv) for bv in self.blockvis_list]
self.vis_list = arlexecute.compute(self.vis_list, sync=True)
self.skymodel_list = [arlexecute.execute(create_low_test_skymodel_from_gleam)
(npixel=self.npixel, cellsize=self.cellsize, frequency=[self.frequency[f]],
phasecentre=self.phasecentre,
polarisation_frame=PolarisationFrame("stokesI"),
flux_limit=0.6,
flux_threshold=1.0,
flux_max=5.0) for f, freq in enumerate(self.frequency)]
self.skymodel_list = arlexecute.compute(self.skymodel_list, sync=True)
assert isinstance(self.skymodel_list[0].image, Image), self.skymodel_list[0].image
assert isinstance(self.skymodel_list[0].components[0], Skycomponent), self.skymodel_list[0].components[0]
assert len(self.skymodel_list[0].components) == 19, len(self.skymodel_list[0].components)
self.skymodel_list = expand_skymodel_by_skycomponents(self.skymodel_list[0])
assert len(self.skymodel_list) == 20, len(self.skymodel_list)
assert numpy.max(numpy.abs(self.skymodel_list[-1].image.data)) > 0.0, "Image is empty"
self.vis_list = [copy_visibility(self.vis_list[0], zero=True) for i, _ in enumerate(self.skymodel_list)]
def actualSetUp(self, freqwin=3, block=False, dopol=False, zerow=False):
self.npixel = 1024
self.low = create_named_configuration('LOWBD2', rmax=750.0)
self.freqwin = freqwin
self.vis_list = list()
self.ntimes = 5
self.cellsize = 0.0005
# Choose the interval so that the maximum change in w is smallish
integration_time = numpy.pi * (24 / (12 * 60))
self.times = numpy.linspace(-integration_time * (self.ntimes // 2),
integration_time * (self.ntimes // 2),
self.ntimes)
if freqwin > 1:
self.frequency = numpy.linspace(0.8e8, 1.2e8, self.freqwin)
self.channelwidth = numpy.array(
freqwin * [self.frequency[1] - self.frequency[0]])
else:
self.frequency = numpy.array([1.0e8])
self.channelwidth = numpy.array([4e7])
if dopol:
self.vis_pol = PolarisationFrame('linear')
self.image_pol = PolarisationFrame('stokesIQUV')
f = numpy.array([100.0, 20.0, -10.0, 1.0])
else:
self.vis_pol = PolarisationFrame('stokesI')
self.image_pol = PolarisationFrame('stokesI')
f = numpy.array([100.0])
self.phasecentre = SkyCoord(ra=+30.0 * u.deg,
dec=-60.0 * u.deg,
frame='icrs',
equinox='J2000')
self.vis_list = [
arlexecute.execute(ingest_unittest_visibility)(
self.low, [self.frequency[freqwin]],
[self.channelwidth[freqwin]],
self.times,
self.vis_pol,
self.phasecentre,
block=block,
zerow=zerow) for freqwin, _ in enumerate(self.frequency)
]
def actualSetUp(self,
nfreqwin=3,
dospectral=True,
dopol=False,
amp_errors=None,
phase_errors=None,
zerow=True):
if amp_errors is None:
amp_errors = {'T': 0.0, 'G': 0.1}
if phase_errors is None:
phase_errors = {'T': 1.0, 'G': 0.0}
self.npixel = 512
self.low = create_named_configuration('LOWBD2', rmax=750.0)
self.freqwin = nfreqwin
self.vis_list = list()
self.ntimes = 1
self.times = numpy.linspace(-3.0, +3.0, self.ntimes) * numpy.pi / 12.0
self.frequency = numpy.linspace(0.8e8, 1.2e8, self.freqwin)
if self.freqwin > 1:
self.channelwidth = numpy.array(
self.freqwin * [self.frequency[1] - self.frequency[0]])
else:
self.channelwidth = numpy.array([1e6])
if dopol:
self.vis_pol = PolarisationFrame('linear')
self.image_pol = PolarisationFrame('stokesIQUV')
f = numpy.array([100.0, 20.0, -10.0, 1.0])
else:
self.vis_pol = PolarisationFrame('stokesI')
self.image_pol = PolarisationFrame('stokesI')
f = numpy.array([100.0])
if dospectral:
flux = numpy.array(
[f * numpy.power(freq / 1e8, -0.7) for freq in self.frequency])
else:
flux = numpy.array([f])
self.phasecentre = SkyCoord(ra=+180.0 * u.deg,
dec=-60.0 * u.deg,
frame='icrs',
equinox='J2000')
self.blockvis_list = [
arlexecute.execute(ingest_unittest_visibility,
nout=1)(self.low, [self.frequency[i]],
[self.channelwidth[i]],
self.times,
self.vis_pol,
self.phasecentre,
block=True,
zerow=zerow) for i in range(nfreqwin)
]
self.blockvis_list = arlexecute.compute(self.blockvis_list, sync=True)
for v in self.blockvis_list:
v.data['vis'][...] = 1.0 + 0.0j
self.error_blockvis_list = [
arlexecute.execute(copy_visibility(v)) for v in self.blockvis_list
]
gt = arlexecute.execute(create_gaintable_from_blockvisibility)(
self.blockvis_list[0])
gt = arlexecute.execute(simulate_gaintable)(gt,
phase_error=0.1,
amplitude_error=0.0,
smooth_channels=1,
leakage=0.0,
seed=180555)
self.error_blockvis_list = [
arlexecute.execute(apply_gaintable)(self.error_blockvis_list[i],
gt)
for i in range(self.freqwin)
]
self.error_blockvis_list = arlexecute.compute(self.error_blockvis_list,
sync=True)
assert numpy.max(
numpy.abs(self.error_blockvis_list[0].vis -
self.blockvis_list[0].vis)) > 0.0
def actualSetUp(self,
add_errors=False,
freqwin=5,
block=False,
dospectral=True,
dopol=False,
amp_errors=None,
phase_errors=None,
zerow=True):
if amp_errors is None:
amp_errors = {'T': 0.0, 'G': 0.01, 'B': 0.01}
if phase_errors is None:
phase_errors = {'T': 1.0, 'G': 0.1, 'B': 0.01}
self.npixel = 512
self.low = create_named_configuration('LOWBD2', rmax=750.0)
self.freqwin = freqwin
self.vis_list = list()
self.ntimes = 5
self.times = numpy.linspace(-3.0, +3.0, self.ntimes) * numpy.pi / 12.0
self.frequency = numpy.linspace(0.8e8, 1.2e8, self.freqwin)
if freqwin > 1:
self.channelwidth = numpy.array(
freqwin * [self.frequency[1] - self.frequency[0]])
else:
self.channelwidth = numpy.array([1e6])
if dopol:
self.vis_pol = PolarisationFrame('linear')
self.image_pol = PolarisationFrame('stokesIQUV')
f = numpy.array([100.0, 20.0, -10.0, 1.0])
else:
self.vis_pol = PolarisationFrame('stokesI')
self.image_pol = PolarisationFrame('stokesI')
f = numpy.array([100.0])
if dospectral:
flux = numpy.array(
[f * numpy.power(freq / 1e8, -0.7) for freq in self.frequency])
else:
flux = numpy.array([f])
self.phasecentre = SkyCoord(ra=+180.0 * u.deg,
dec=-60.0 * u.deg,
frame='icrs',
equinox='J2000')
self.vis_list = [
arlexecute.execute(ingest_unittest_visibility)(
self.low, [self.frequency[i]], [self.channelwidth[i]],
self.times,
self.vis_pol,
self.phasecentre,
block=block,
zerow=zerow) for i, _ in enumerate(self.frequency)
]
self.model_imagelist = [
arlexecute.execute(create_unittest_model,
nout=freqwin)(self.vis_list[0],
self.image_pol,
npixel=self.npixel)
for i, _ in enumerate(self.frequency)
]
self.components_list = [
arlexecute.execute(create_unittest_components)(
self.model_imagelist[i], flux[i, :][numpy.newaxis, :])
for i, _ in enumerate(self.frequency)
]
# Apply the LOW primary beam and insert into model
self.model_imagelist = [
arlexecute.execute(insert_skycomponent,
nout=1)(self.model_imagelist[freqwin],
self.components_list[freqwin])
for freqwin, _ in enumerate(self.frequency)
]
self.vis_list = [
arlexecute.execute(predict_skycomponent_visibility)(
self.vis_list[freqwin], self.components_list[freqwin])
for freqwin, _ in enumerate(self.frequency)
]
# Calculate the model convolved with a Gaussian.
self.model_imagelist = arlexecute.compute(self.model_imagelist,
sync=True)
model = self.model_imagelist[0]
self.cmodel = smooth_image(model)
export_image_to_fits(model,
'%s/test_imaging_delayed_model.fits' % self.dir)
export_image_to_fits(self.cmodel,
'%s/test_imaging_delayed_cmodel.fits' % self.dir)
if add_errors and block:
self.vis_list = [
arlexecute.execute(insert_unittest_errors)(
self.vis_list[i],
amp_errors=amp_errors,
phase_errors=phase_errors)
for i, _ in enumerate(self.frequency)
]
self.vis_list = arlexecute.compute(self.vis_list, sync=True)
self.vis_list = arlexecute.scatter(self.vis_list)
self.model_imagelist = arlexecute.scatter(self.model_imagelist)
def simulate_list_arlexecute_workflow(config='LOWBD2',
phasecentre=SkyCoord(ra=+15.0 * u.deg, dec=-60.0 * u.deg, frame='icrs', equinox='J2000'),
frequency=None, channel_bandwidth=None, times=None,
polarisation_frame=PolarisationFrame("stokesI"), order='frequency',
format='blockvis',
rmax=1000.0,
zerow=False):
""" A component to simulate an observation
The simulation step can generate a single BlockVisibility or a list of BlockVisibility's.
The parameter keyword determines the way that the list is constructed.
If order='frequency' then len(frequency) BlockVisibility's with all times are created.
If order='time' then len(times) BlockVisibility's with all frequencies are created.
If order = 'both' then len(times) * len(times) BlockVisibility's are created each with
a single time and frequency. If order = None then all data are created in one BlockVisibility.
The output format can be either 'blockvis' (for calibration) or 'vis' (for imaging)
:param config: Name of configuration: def LOWBDS-CORE
:param phasecentre: Phase centre def: SkyCoord(ra=+15.0 * u.deg, dec=-60.0 * u.deg, frame='icrs', equinox='J2000')
:param frequency: def [1e8]
:param channel_bandwidth: def [1e6]
:param times: Observing times in radians: def [0.0]
:param polarisation_frame: def PolarisationFrame("stokesI")
:param order: 'time' or 'frequency' or 'both' or None: def 'frequency'
:param format: 'blockvis' or 'vis': def 'blockvis'
:return: vis_list with different frequencies in different elements
"""
if format == 'vis':
create_vis = create_visibility
else:
create_vis = create_blockvisibility
if times is None:
times = [0.0]
if channel_bandwidth is None:
channel_bandwidth = [1e6]
if frequency is None:
frequency = [1e8]
conf = create_named_configuration(config, rmax=rmax)
if order == 'time':
log.debug("simulate_list_arlexecute_workflow: Simulating distribution in %s" % order)
vis_list = list()
for i, time in enumerate(times):
vis_list.append(arlexecute.execute(create_vis, nout=1)(conf, numpy.array([times[i]]),
frequency=frequency,
channel_bandwidth=channel_bandwidth,
weight=1.0, phasecentre=phasecentre,
polarisation_frame=polarisation_frame,
zerow=zerow))
elif order == 'frequency':
log.debug("simulate_list_arlexecute_workflow: Simulating distribution in %s" % order)
vis_list = list()
for j, _ in enumerate(frequency):
vis_list.append(arlexecute.execute(create_vis, nout=1)(conf, times,
frequency=numpy.array([frequency[j]]),
channel_bandwidth=numpy.array(
[channel_bandwidth[j]]),
weight=1.0, phasecentre=phasecentre,
polarisation_frame=polarisation_frame,
zerow=zerow))
elif order == 'both':
log.debug("simulate_list_arlexecute_workflow: Simulating distribution in time and frequency")
vis_list = list()
for i, _ in enumerate(times):
for j, _ in enumerate(frequency):
vis_list.append(arlexecute.execute(create_vis, nout=1)(conf, numpy.array([times[i]]),
frequency=numpy.array([frequency[j]]),
channel_bandwidth=numpy.array(
[channel_bandwidth[j]]),
weight=1.0, phasecentre=phasecentre,
polarisation_frame=polarisation_frame,
zerow=zerow))
elif order is None:
log.debug("simulate_list_arlexecute_workflow: Simulating into single %s" % format)
vis_list = list()
vis_list.append(arlexecute.execute(create_vis, nout=1)(conf, times, frequency=frequency,
channel_bandwidth=channel_bandwidth,
weight=1.0, phasecentre=phasecentre,
polarisation_frame=polarisation_frame,
zerow=zerow))
else:
raise NotImplementedError("order $s not known" % order)
return vis_list
def actualSetUp(self,
add_errors=False,
nfreqwin=7,
dospectral=True,
dopol=False,
zerow=True):
self.npixel = 512
self.low = create_named_configuration('LOWBD2', rmax=750.0)
self.freqwin = nfreqwin
self.vis_list = list()
self.ntimes = 5
self.times = numpy.linspace(-3.0, +3.0, self.ntimes) * numpy.pi / 12.0
self.frequency = numpy.linspace(0.8e8, 1.2e8, self.freqwin)
if self.freqwin > 1:
self.channelwidth = numpy.array(
self.freqwin * [self.frequency[1] - self.frequency[0]])
else:
self.channelwidth = numpy.array([1e6])
if dopol:
self.vis_pol = PolarisationFrame('linear')
self.image_pol = PolarisationFrame('stokesIQUV')
f = numpy.array([100.0, 20.0, -10.0, 1.0])
else:
self.vis_pol = PolarisationFrame('stokesI')
self.image_pol = PolarisationFrame('stokesI')
f = numpy.array([100.0])
if dospectral:
flux = numpy.array(
[f * numpy.power(freq / 1e8, -0.7) for freq in self.frequency])
else:
flux = numpy.array([f])
self.phasecentre = SkyCoord(ra=+180.0 * u.deg,
dec=-60.0 * u.deg,
frame='icrs',
equinox='J2000')
self.blockvis_list = [
arlexecute.execute(ingest_unittest_visibility,
nout=1)(self.low, [self.frequency[i]],
[self.channelwidth[i]],
self.times,
self.vis_pol,
self.phasecentre,
block=True,
zerow=zerow) for i in range(nfreqwin)
]
self.blockvis_list = arlexecute.compute(self.blockvis_list, sync=True)
self.blockvis_list = arlexecute.scatter(self.blockvis_list)
self.vis_list = [
arlexecute.execute(convert_blockvisibility_to_visibility,
nout=1)(bv) for bv in self.blockvis_list
]
self.vis_list = arlexecute.compute(self.vis_list, sync=True)
self.vis_list = arlexecute.scatter(self.vis_list)
self.model_imagelist = [
arlexecute.execute(create_unittest_model,
nout=1)(self.vis_list[i],
self.image_pol,
npixel=self.npixel,
cellsize=0.0005)
for i in range(nfreqwin)
]
self.model_imagelist = arlexecute.compute(self.model_imagelist,
sync=True)
self.model_imagelist = arlexecute.scatter(self.model_imagelist)
self.components_list = [
arlexecute.execute(create_unittest_components)(
self.model_imagelist[freqwin],
flux[freqwin, :][numpy.newaxis, :])
for freqwin, m in enumerate(self.model_imagelist)
]
self.components_list = arlexecute.compute(self.components_list,
sync=True)
self.components_list = arlexecute.scatter(self.components_list)
self.blockvis_list = [
arlexecute.execute(predict_skycomponent_visibility)(
self.blockvis_list[freqwin], self.components_list[freqwin])
for freqwin, _ in enumerate(self.blockvis_list)
]
self.blockvis_list = arlexecute.compute(self.blockvis_list, sync=True)
self.vis = self.blockvis_list[0]
self.blockvis_list = arlexecute.scatter(self.blockvis_list)
self.model_imagelist = [
arlexecute.execute(insert_skycomponent,
nout=1)(self.model_imagelist[freqwin],
self.components_list[freqwin])
for freqwin in range(nfreqwin)
]
self.model_imagelist = arlexecute.compute(self.model_imagelist,
sync=True)
model = self.model_imagelist[0]
self.cmodel = smooth_image(model)
if self.persist:
export_image_to_fits(
model, '%s/test_pipelines_arlexecute_model.fits' % self.dir)
export_image_to_fits(
self.cmodel,
'%s/test_pipelines_arlexecute_cmodel.fits' % self.dir)
if add_errors:
gt = create_gaintable_from_blockvisibility(self.vis)
gt = simulate_gaintable(gt,
phase_error=0.1,
amplitude_error=0.0,
smooth_channels=1,
leakage=0.0,
seed=180555)
self.blockvis_list = [
arlexecute.execute(apply_gaintable,
nout=1)(self.blockvis_list[i], gt)
for i in range(self.freqwin)
]
self.blockvis_list = arlexecute.compute(self.blockvis_list,
sync=True)
self.blockvis_list = arlexecute.scatter(self.blockvis_list)
self.vis_list = [
arlexecute.execute(convert_blockvisibility_to_visibility)(bv)
for bv in self.blockvis_list
]
self.vis_list = arlexecute.compute(self.vis_list, sync=True)
self.vis_list = arlexecute.scatter(self.vis_list)
self.model_imagelist = [
arlexecute.execute(create_unittest_model,
nout=1)(self.vis_list[i],
self.image_pol,
npixel=self.npixel,
cellsize=0.0005)
for i in range(nfreqwin)
]
self.model_imagelist = arlexecute.compute(self.model_imagelist,
sync=True)
self.model_imagelist = arlexecute.scatter(self.model_imagelist)
def actualSetup(self,
vnchan=1,
doiso=True,
ntimes=5,
flux_limit=2.0,
zerow=True,
fixed=False):
nfreqwin = vnchan
rmax = 300.0
npixel = 512
cellsize = 0.001
frequency = numpy.linspace(0.8e8, 1.2e8, nfreqwin)
if nfreqwin > 1:
channel_bandwidth = numpy.array(nfreqwin *
[frequency[1] - frequency[0]])
else:
channel_bandwidth = [0.4e8]
times = numpy.linspace(-numpy.pi / 3.0, numpy.pi / 3.0, ntimes)
phasecentre = SkyCoord(ra=-60.0 * u.deg,
dec=-60.0 * u.deg,
frame='icrs',
equinox='J2000')
lowcore = create_named_configuration('LOWBD2', rmax=rmax)
block_vis = create_blockvisibility(
lowcore,
times,
frequency=frequency,
channel_bandwidth=channel_bandwidth,
weight=1.0,
phasecentre=phasecentre,
polarisation_frame=PolarisationFrame("stokesI"),
zerow=zerow)
block_vis.data['uvw'][..., 2] = 0.0
self.beam = create_image_from_visibility(
block_vis,
npixel=npixel,
frequency=[numpy.average(frequency)],
nchan=nfreqwin,
channel_bandwidth=[numpy.sum(channel_bandwidth)],
cellsize=cellsize,
phasecentre=phasecentre)
self.components = create_low_test_skycomponents_from_gleam(
flux_limit=flux_limit,
phasecentre=phasecentre,
frequency=frequency,
polarisation_frame=PolarisationFrame('stokesI'),
radius=npixel * cellsize)
self.beam = create_low_test_beam(self.beam)
self.components = apply_beam_to_skycomponent(self.components,
self.beam,
flux_limit=flux_limit)
self.vis = copy_visibility(block_vis, zero=True)
gt = create_gaintable_from_blockvisibility(block_vis, timeslice='auto')
for i, sc in enumerate(self.components):
if sc.flux[0, 0] > 10:
sc.flux[...] /= 10.0
component_vis = copy_visibility(block_vis, zero=True)
gt = simulate_gaintable(gt,
amplitude_error=0.0,
phase_error=0.1,
seed=None)
component_vis = predict_skycomponent_visibility(component_vis, sc)
component_vis = apply_gaintable(component_vis, gt)
self.vis.data['vis'][...] += component_vis.data['vis'][...]
# Do an isoplanatic selfcal
self.model_vis = copy_visibility(self.vis, zero=True)
self.model_vis = predict_skycomponent_visibility(
self.model_vis, self.components)
if doiso:
gt = solve_gaintable(self.vis,
self.model_vis,
phase_only=True,
timeslice='auto')
self.vis = apply_gaintable(self.vis, gt, inverse=True)
self.model_vis = convert_blockvisibility_to_visibility(self.model_vis)
self.model_vis, _, _ = weight_visibility(self.model_vis, self.beam)
self.dirty_model, sumwt = invert_list_arlexecute_workflow(
self.model_vis, self.beam, context='2d')
export_image_to_fits(
self.dirty_model,
"%s/test_modelpartition-model_dirty.fits" % self.dir)
lvis = convert_blockvisibility_to_visibility(self.vis)
lvis, _, _ = weight_visibility(lvis, self.beam)
dirty, sumwt = invert_list_arlexecute_workflow(lvis,
self.beam,
context='2d')
if doiso:
export_image_to_fits(
dirty,
"%s/test_modelpartition-initial-iso-residual.fits" % self.dir)
else:
export_image_to_fits(
dirty, "%s/test_modelpartition-initial-noiso-residual.fits" %
self.dir)
self.skymodels = [
SkyModel(components=[cm], fixed=fixed) for cm in self.components
]
def actualSetUp(self,
add_errors=False,
freqwin=3,
block=False,
dospectral=True,
dopol=False,
zerow=False,
makegcfcf=False):
self.npixel = 256
self.low = create_named_configuration('LOWBD2', rmax=750.0)
self.freqwin = freqwin
self.vis_list = list()
self.ntimes = 5
self.cellsize = 0.0005
self.times = numpy.linspace(-3.0, +3.0, self.ntimes) * numpy.pi / 12.0
self.frequency = numpy.linspace(0.8e8, 1.2e8, self.freqwin)
if freqwin > 1:
self.channelwidth = numpy.array(
freqwin * [self.frequency[1] - self.frequency[0]])
else:
self.frequency = numpy.array([1.0e8])
self.channelwidth = numpy.array([4e7])
if dopol:
self.vis_pol = PolarisationFrame('linear')
self.image_pol = PolarisationFrame('stokesIQUV')
f = numpy.array([100.0, 20.0, -10.0, 1.0])
else:
self.vis_pol = PolarisationFrame('stokesI')
self.image_pol = PolarisationFrame('stokesI')
f = numpy.array([100.0])
if dospectral:
flux = numpy.array(
[f * numpy.power(freq / 1e8, -0.7) for freq in self.frequency])
else:
flux = numpy.array([f])
self.phasecentre = SkyCoord(ra=+180.0 * u.deg,
dec=-60.0 * u.deg,
frame='icrs',
equinox='J2000')
self.vis_list = [
arlexecute.execute(ingest_unittest_visibility)(
self.low, [self.frequency[freqwin]],
[self.channelwidth[freqwin]],
self.times,
self.vis_pol,
self.phasecentre,
block=block,
zerow=zerow) for freqwin, _ in enumerate(self.frequency)
]
self.model_list = [
arlexecute.execute(create_unittest_model,
nout=freqwin)(self.vis_list[freqwin],
self.image_pol,
cellsize=self.cellsize,
npixel=self.npixel)
for freqwin, _ in enumerate(self.frequency)
]
self.components_list = [
arlexecute.execute(create_unittest_components)(
self.model_list[freqwin],
flux[freqwin, :][numpy.newaxis, :],
single=True) for freqwin, _ in enumerate(self.frequency)
]
self.components_list = arlexecute.compute(self.components_list,
sync=True)
self.model_list = [
arlexecute.execute(insert_skycomponent,
nout=1)(self.model_list[freqwin],
self.components_list[freqwin])
for freqwin, _ in enumerate(self.frequency)
]
self.model_list = arlexecute.compute(self.model_list, sync=True)
self.vis_list = [
arlexecute.execute(predict_skycomponent_visibility)(
self.vis_list[freqwin], self.components_list[freqwin])
for freqwin, _ in enumerate(self.frequency)
]
# Calculate the model convolved with a Gaussian.
centre = self.freqwin // 2
self.model = self.model_list[centre]
self.cmodel = smooth_image(self.model)
export_image_to_fits(self.model,
'%s/test_imaging_model.fits' % self.dir)
export_image_to_fits(self.cmodel,
'%s/test_imaging_cmodel.fits' % self.dir)
if add_errors and block:
self.vis_list = [
arlexecute.execute(insert_unittest_errors)(self.vis_list[i])
for i, _ in enumerate(self.frequency)
]
self.components = self.components_list[centre]
if makegcfcf:
self.gcfcf = [
create_awterm_convolutionfunction(self.model,
nw=61,
wstep=16.0,
oversampling=4,
support=60,
use_aaf=True)
]
self.gcfcf_clipped = [
(self.gcfcf[0][0],
apply_bounding_box_convolutionfunction(self.gcfcf[0][1],
fractional_level=1e-3))
]
self.gcfcf_joint = [
create_awterm_convolutionfunction(self.model,
nw=11,
wstep=16.0,
oversampling=4,
support=60,
use_aaf=True)
]
else:
self.gcfcf = None
self.gcfcf_clipped = None
self.gcfcf_joint = None
