def plot_azel(bvis_list, plot_file='azel.png', **kwargs):
""" Standard plot of az el coverage
:param bvis_list:
:param plot_file:
:param kwargs:
:return:
"""
plt.clf()
r2d = 180.0 / numpy.pi
for ibvis, bvis in enumerate(bvis_list):
ha = numpy.pi * bvis.time / 43200.0
dec = bvis.phasecentre.dec.rad
latitude = bvis.configuration.location.lat.rad
az, el = hadec_to_azel(ha, dec, latitude)
if ibvis == 0:
plt.plot(bvis.time,
r2d * az,
'.',
color='r',
label='Azimuth (deg)')
plt.plot(bvis.time,
r2d * el,
'.',
color='b',
label='Elevation (deg)')
else:
plt.plot(bvis.time, r2d * az, '.', color='r')
plt.plot(bvis.time, r2d * el, '.', color='b')
plt.xlabel('HA (s)')
plt.ylabel('Angle')
plt.legend()
plt.title('Azimuth and elevation vs hour angle')
plt.savefig(plot_file)
plt.show(block=False)
def find_vp(band, vis):
ha = calculate_blockvisibility_hourangles(vis).to('rad').value
dec = vis.phasecentre.dec.rad
latitude = vis.configuration.location.lat.rad
az, el = hadec_to_azel(ha, dec, latitude)
el_deg = el * 180.0 / numpy.pi
el_table = max(
0.0,
min(
90.1,
elevation_sampling *
((el_deg + elevation_sampling / 2.0) // elevation_sampling)))
return get_band_vp(band, el_table)
def find_vp(band, vis):
ha = numpy.pi * numpy.average(vis.time) / 43200.0
dec = vis.phasecentre.dec.rad
latitude = vis.configuration.location.lat.rad
az, el = hadec_to_azel(ha, dec, latitude)
el_deg = el * 180.0 / numpy.pi
el_table = max(
0.0,
min(
90.1,
elevation_sampling *
((el_deg + elevation_sampling / 2.0) // elevation_sampling)))
return get_band_vp(band, el_table)
def valid_elevation(time, location, phasecentre):
ha = numpy.pi * time / 43200.0
dec = phasecentre.dec.rad
az, el = hadec_to_azel(ha, dec, location.lat.rad)
return el > elevation_limit * numpy.pi / 180.0
def simulate_gaintable_from_zernikes(vis,
sc,
vp_list,
vp_coeffs,
vis_slices=None,
order=3,
use_radec=False,
elevation_limit=15.0 * numpy.pi / 180.0,
**kwargs):
""" Create gaintables for a set of zernikes
:param vis:
:param sc: Sky components for which pierce points are needed
:param vp: List of Voltage patterns in AZELGEO frame
:param vp_coeffs: Fractional contribution [nants, nvp]
:param order: order of spline (default is 3)
:return:
"""
ntimes, nant = vis.vis.shape[0:2]
vp_coeffs = numpy.array(vp_coeffs)
gaintables = [
create_gaintable_from_blockvisibility(vis, **kwargs) for i in sc
]
if not use_radec:
assert isinstance(vis, BlockVisibility)
assert vis.configuration.mount[
0] == 'azel', "Mount %s not supported yet" % vis.configuration.mount[
0]
# The time in the Visibility is hour angle in seconds!
number_bad = 0
number_good = 0
# Cache the splines, one per voltage pattern
real_splines = list()
imag_splines = list()
for ivp, vp in enumerate(vp_list):
assert vp.wcs.wcs.ctype[0] == 'AZELGEO long', vp.wcs.wcs.ctype[0]
assert vp.wcs.wcs.ctype[1] == 'AZELGEO lati', vp.wcs.wcs.ctype[1]
nchan, npol, ny, nx = vp.data.shape
real_splines.append(
RectBivariateSpline(range(ny),
range(nx),
vp.data[0, 0, ...].real,
kx=order,
ky=order))
imag_splines.append(
RectBivariateSpline(range(ny),
range(nx),
vp.data[0, 0, ...].imag,
kx=order,
ky=order))
latitude = vis.configuration.location.lat.rad
r2d = 180.0 / numpy.pi
s2r = numpy.pi / 43200.0
# For each hourangle, we need to calculate the location of a component
# in AZELGEO. With that we can then look up the relevant gain from the
# voltage pattern
for iha, rows in enumerate(
vis_timeslice_iter(vis, vis_slices=vis_slices)):
v = create_visibility_from_rows(vis, rows)
ha = numpy.average(
calculate_blockvisibility_hourangles(v).to('rad').value)
# Calculate the az el for this hourangle and the phasecentre declination
utc_time = Time([numpy.average(v.time) / 86400.0],
format='mjd',
scale='utc')
azimuth_centre, elevation_centre = calculate_azel(
v.configuration.location, utc_time, vis.phasecentre)
azimuth_centre = azimuth_centre[0].to('deg').value
elevation_centre = elevation_centre[0].to('deg').value
for icomp, comp in enumerate(sc):
if elevation_centre >= elevation_limit:
antgain = numpy.zeros([nant], dtype='complex')
# Calculate the location of the component in AZELGEO, then add the pointing offset
# for each antenna
hacomp = comp.direction.ra.rad - vis.phasecentre.ra.rad + ha
deccomp = comp.direction.dec.rad
azimuth_comp, elevation_comp = hadec_to_azel(
hacomp, deccomp, latitude)
for ant in range(nant):
for ivp, vp in enumerate(vp_list):
nchan, npol, ny, nx = vp.data.shape
wcs_azel = vp.wcs.deepcopy()
# We use WCS sensible coordinate handling by labelling the axes misleadingly
wcs_azel.wcs.crval[0] = azimuth_centre
wcs_azel.wcs.crval[1] = elevation_centre
wcs_azel.wcs.ctype[0] = 'RA---SIN'
wcs_azel.wcs.ctype[1] = 'DEC--SIN'
worldloc = [
azimuth_comp * r2d, elevation_comp * r2d,
vp.wcs.wcs.crval[2], vp.wcs.wcs.crval[3]
]
try:
pixloc = wcs_azel.sub(2).wcs_world2pix(
[worldloc[:2]], 1)[0]
assert pixloc[0] > 2
assert pixloc[0] < nx - 3
assert pixloc[1] > 2
assert pixloc[1] < ny - 3
gain = real_splines[ivp].ev(pixloc[1], pixloc[0]) \
+ 1j * imag_splines[ivp](pixloc[1], pixloc[0])
antgain[ant] += vp_coeffs[ant, ivp] * gain
number_good += 1
except (ValueError, AssertionError):
number_bad += 1
antgain[ant] = 1.0
antgain[ant] = 1.0 / antgain[ant]
gaintables[icomp].gain[
iha, :, :, :] = antgain[:, numpy.newaxis,
numpy.newaxis, numpy.newaxis]
gaintables[icomp].phasecentre = comp.direction
else:
gaintables[icomp].gain[...] = 1.0 + 0.0j
gaintables[icomp].phasecentre = comp.direction
number_bad += nant
else:
assert isinstance(vis, BlockVisibility)
number_bad = 0
number_good = 0
# Cache the splines, one per voltage pattern
real_splines = list()
imag_splines = list()
for ivp, vp in enumerate(vp_list):
nchan, npol, ny, nx = vp.data.shape
real_splines.append(
RectBivariateSpline(range(ny),
range(nx),
vp.data[0, 0, ...].real,
kx=order,
ky=order))
imag_splines.append(
RectBivariateSpline(range(ny),
range(nx),
vp.data[0, 0, ...].imag,
kx=order,
ky=order))
for iha, rows in enumerate(
vis_timeslice_iter(vis, vis_slices=vis_slices)):
# The time in the Visibility is hour angle in seconds!
r2d = 180.0 / numpy.pi
# For each hourangle, we need to calculate the location of a component
# in AZELGEO. With that we can then look up the relevant gain from the
# voltage pattern
v = create_visibility_from_rows(vis, rows)
ha = numpy.average(calculate_blockvisibility_hourangles(v))
for icomp, comp in enumerate(sc):
antgain = numpy.zeros([nant], dtype='complex')
antwt = numpy.zeros([nant])
ra_comp = comp.direction.ra.rad
dec_comp = comp.direction.dec.rad
for ant in range(nant):
for ivp, vp in enumerate(vp_list):
assert vp.wcs.wcs.ctype[
0] == 'RA---SIN', vp.wcs.wcs.ctype[0]
assert vp.wcs.wcs.ctype[
1] == 'DEC--SIN', vp.wcs.wcs.ctype[1]
worldloc = [
ra_comp * r2d, dec_comp * r2d, vp.wcs.wcs.crval[2],
vp.wcs.wcs.crval[3]
]
nchan, npol, ny, nx = vp.data.shape
try:
pixloc = vp.wcs.sub(2).wcs_world2pix(
[worldloc[:2]], 1)[0]
assert pixloc[0] > 2
assert pixloc[0] < nx - 3
assert pixloc[1] > 2
assert pixloc[1] < ny - 3
gain = real_splines[ivp].ev(pixloc[1], pixloc[0]) \
+ 1j * imag_splines[ivp](pixloc[1], pixloc[0])
antgain[ant] += vp_coeffs[ant, ivp] * gain
antwt[ant] = 1.0
number_good += 1
except (ValueError, AssertionError):
number_bad += 1
antgain[ant] = 1e15
antwt[ant] = 0.0
antgain[ant] = 1.0 / antgain[ant]
gaintables[icomp].gain[
iha, :, :, :] = antgain[:, numpy.newaxis,
numpy.newaxis, numpy.newaxis]
gaintables[icomp].weight[
iha, :, :, :] = antwt[:, numpy.newaxis, numpy.newaxis,
numpy.newaxis]
gaintables[icomp].phasecentre = comp.direction
if number_bad > 0:
log.warning(
"simulate_gaintable_from_zernikes: %d points are inside the voltage pattern image"
% (number_good))
log.warning(
"simulate_gaintable_from_zernikes: %d points are outside the voltage pattern image"
% (number_bad))
return gaintables
def create_visibility(config: Configuration, times: numpy.array, frequency: numpy.array,
channel_bandwidth, phasecentre: SkyCoord,
weight: float, polarisation_frame=PolarisationFrame('stokesI'),
integration_time=1.0,
zerow=False, elevation_limit=15.0 * numpy.pi / 180.0, source='unknown', meta=None) -> Visibility:
""" Create a Visibility from Configuration, hour angles, and direction of source
Note that we keep track of the integration time for BDA purposes
:param config: Configuration of antennas
:param times: hour angles in radians
:param frequency: frequencies (Hz] [nchan]
:param weight: weight of a single sample
:param phasecentre: phasecentre of observation
:param channel_bandwidth: channel bandwidths: (Hz] [nchan]
:param integration_time: Integration time ('auto' or value in s)
:param polarisation_frame: PolarisationFrame('stokesI')
:return: Visibility
"""
assert phasecentre is not None, "Must specify phase centre"
if polarisation_frame is None:
polarisation_frame = correlate_polarisation(config.receptor_frame)
latitude = config.location.geodetic[1].to('rad').value
nch = len(frequency)
ants_xyz = config.data['xyz']
nants = len(config.data['names'])
nbaselines = int(nants * (nants - 1) / 2)
ntimes = 0
for iha, ha in enumerate(times):
# Calculate the positions of the antennas as seen for this hour angle
# and declination
_, elevation = hadec_to_azel(ha, phasecentre.dec.rad, latitude)
if elevation_limit is None or (elevation > elevation_limit):
ntimes +=1
npol = polarisation_frame.npol
nrows = nbaselines * ntimes * nch
nrowsperintegration = nbaselines * nch
rvis = numpy.zeros([nrows, npol], dtype='complex')
rweight = weight * numpy.ones([nrows, npol])
rtimes = numpy.zeros([nrows])
rfrequency = numpy.zeros([nrows])
rchannel_bandwidth = numpy.zeros([nrows])
rantenna1 = numpy.zeros([nrows], dtype='int')
rantenna2 = numpy.zeros([nrows], dtype='int')
ruvw = numpy.zeros([nrows, 3])
n_flagged = 0
# Do each hour angle in turn
row = 0
for iha, ha in enumerate(times):
# Calculate the positions of the antennas as seen for this hour angle
# and declination
_, elevation = hadec_to_azel(ha, phasecentre.dec.rad, latitude)
if elevation_limit is None or (elevation > elevation_limit):
rtimes[row:row + nrowsperintegration] = ha * 43200.0 / numpy.pi
# TODO: optimise loop
# Loop over all pairs of antennas. Note that a2>a1
ant_pos = xyz_to_uvw(ants_xyz, ha, phasecentre.dec.rad)
for a1 in range(nants):
for a2 in range(a1 + 1, nants):
rantenna1[row:row + nch] = a1
rantenna2[row:row + nch] = a2
rweight[row:row+nch,...] = 1.0
# Loop over all frequencies and polarisations
for ch in range(nch):
# noinspection PyUnresolvedReferences
k = frequency[ch] / constants.c.value
ruvw[row, :] = (ant_pos[a2, :] - ant_pos[a1, :]) * k
rfrequency[row] = frequency[ch]
rchannel_bandwidth[row] = channel_bandwidth[ch]
row += 1
if zerow:
ruvw[..., 2] = 0.0
assert row == nrows
rintegration_time = numpy.full_like(rtimes, integration_time)
vis = Visibility(uvw=ruvw, time=rtimes, antenna1=rantenna1, antenna2=rantenna2,
frequency=rfrequency, vis=rvis,
weight=rweight, imaging_weight=rweight,
integration_time=rintegration_time, channel_bandwidth=rchannel_bandwidth,
polarisation_frame=polarisation_frame, source=source, meta=meta)
vis.phasecentre = phasecentre
vis.configuration = config
log.info("create_visibility: %s" % (vis_summary(vis)))
assert isinstance(vis, Visibility), "vis is not a Visibility: %r" % vis
if elevation_limit is not None:
log.info('create_visibility: flagged %d/%d visibilities below elevation limit %f (rad)' %
(n_flagged, vis.nvis, elevation_limit))
else:
log.info('create_visibility: created %d visibilities' % (vis.nvis))
return vis
def create_blockvisibility(config: Configuration,
times: numpy.array,
frequency: numpy.array,
phasecentre: SkyCoord,
weight: float = 1.0,
polarisation_frame: PolarisationFrame = None,
integration_time=1.0,
channel_bandwidth=1e6,
zerow=False,
elevation_limit=None,
source='unknown',
meta=None,
**kwargs) -> BlockVisibility:
""" Create a BlockVisibility from Configuration, hour angles, and direction of source
Note that we keep track of the integration time for BDA purposes
:param config: Configuration of antennas
:param times: hour angles in radians
:param frequency: frequencies (Hz] [nchan]
:param weight: weight of a single sample
:param phasecentre: phasecentre of observation
:param channel_bandwidth: channel bandwidths: (Hz] [nchan]
:param integration_time: Integration time ('auto' or value in s)
:param polarisation_frame:
:return: BlockVisibility
"""
assert phasecentre is not None, "Must specify phase centre"
if polarisation_frame is None:
polarisation_frame = correlate_polarisation(config.receptor_frame)
latitude = config.location.geodetic[1].to('rad').value
nch = len(frequency)
ants_xyz = config.data['xyz']
nants = len(config.data['names'])
ntimes = 0
n_flagged = 0
for iha, ha in enumerate(times):
# Calculate the positions of the antennas as seen for this hour angle
# and declination
_, elevation = hadec_to_azel(ha, phasecentre.dec.rad, latitude)
if elevation_limit is None or (elevation > elevation_limit):
ntimes +=1
else:
n_flagged += 1
assert ntimes > 0, "No unflagged points"
if elevation_limit is not None:
log.info('create_visibility: flagged %d/%d times below elevation limit %f (rad)' %
(n_flagged, ntimes, elevation_limit))
else:
log.info('create_visibility: created %d times' % (ntimes))
npol = polarisation_frame.npol
visshape = [ntimes, nants, nants, nch, npol]
rvis = numpy.zeros(visshape, dtype='complex')
rweight = weight * numpy.ones(visshape)
rimaging_weight = numpy.ones(visshape)
rtimes = numpy.zeros([ntimes])
ruvw = numpy.zeros([ntimes, nants, nants, 3])
# Do each hour angle in turn
itime = 0
for iha, ha in enumerate(times):
# Calculate the positions of the antennas as seen for this hour angle
# and declination
ant_pos = xyz_to_uvw(ants_xyz, ha, phasecentre.dec.rad)
_, elevation = hadec_to_azel(ha, phasecentre.dec.rad, latitude)
if elevation_limit is None or (elevation > elevation_limit):
rtimes[itime] = ha * 43200.0 / numpy.pi
rweight[itime, ...] = 1.0
# Loop over all pairs of antennas. Note that a2>a1
for a1 in range(nants):
for a2 in range(a1 + 1, nants):
ruvw[itime, a2, a1, :] = (ant_pos[a2, :] - ant_pos[a1, :])
ruvw[itime, a1, a2, :] = (ant_pos[a1, :] - ant_pos[a2, :])
itime += 1
rintegration_time = numpy.full_like(rtimes, integration_time)
rchannel_bandwidth = channel_bandwidth
if zerow:
ruvw[..., 2] = 0.0
vis = BlockVisibility(uvw=ruvw, time=rtimes, frequency=frequency, vis=rvis, weight=rweight,
imaging_weight=rimaging_weight,
integration_time=rintegration_time, channel_bandwidth=rchannel_bandwidth,
polarisation_frame=polarisation_frame, source=source, meta=meta)
vis.phasecentre = phasecentre
vis.configuration = config
log.info("create_blockvisibility: %s" % (vis_summary(vis)))
assert isinstance(vis, BlockVisibility), "vis is not a BlockVisibility: %r" % vis
return vis
def create_pointingtable_from_blockvisibility(vis: BlockVisibility,
pointing_frame='azel',
timeslice=None,
frequencyslice: float = None,
**kwargs) -> PointingTable:
""" Create pointing table from visibility.
This makes an empty pointing table consistent with the BlockVisibility.
:param vis: BlockVisibilty
:param timeslice: Time interval between solutions (s)
:param frequency_width: Frequency solution width (Hz)
:return: PointingTable
"""
assert isinstance(
vis, BlockVisibility), "vis is not a BlockVisibility: %r" % vis
nants = vis.nants
if timeslice is None or timeslice == 'auto':
utimes = numpy.unique(vis.time)
ntimes = len(utimes)
pointing_interval = numpy.zeros([ntimes])
if ntimes > 1:
pointing_interval[:-1] = utimes[1:] - utimes[0:-1]
pointing_interval[-1] = utimes[-1] - utimes[-2]
else:
pointing_interval[...] = 1.0
else:
ntimes = numpy.ceil((numpy.max(vis.time) - numpy.min(vis.time)) /
timeslice).astype('int')
utimes = numpy.linspace(numpy.min(vis.time), numpy.max(vis.time),
ntimes)
pointing_interval = timeslice * numpy.ones([ntimes])
# log.debug('create_pointingtable_from_blockvisibility: times are %s' % str(utimes))
# log.debug('create_pointingtable_from_blockvisibility: intervals are %s' % str(pointing_interval))
ntimes = len(utimes)
ufrequency = numpy.unique(vis.frequency)
nfrequency = len(ufrequency)
receptor_frame = ReceptorFrame(vis.polarisation_frame.type)
nrec = receptor_frame.nrec
pointingshape = [ntimes, nants, nfrequency, nrec, 2]
pointing = numpy.zeros(pointingshape)
if nrec > 1:
pointing[..., 0, 0] = 0.0
pointing[..., 1, 0] = 0.0
pointing[..., 0, 1] = 0.0
pointing[..., 1, 1] = 0.0
ha = numpy.pi * vis.time / 43200.0
dec = vis.phasecentre.dec.rad
latitude = vis.configuration.location.lat.rad
az, el = hadec_to_azel(ha, dec, latitude)
pointing_nominal = numpy.zeros([ntimes, nants, nfrequency, nrec, 2])
pointing_nominal[..., 0] = az[:, numpy.newaxis, numpy.newaxis,
numpy.newaxis]
pointing_nominal[..., 1] = el[:, numpy.newaxis, numpy.newaxis,
numpy.newaxis]
pointing_weight = numpy.ones(pointingshape)
pointing_time = utimes
pointing_frequency = ufrequency
pointing_residual = numpy.zeros([ntimes, nfrequency, nrec, 2])
pointing_frame = pointing_frame
pt = PointingTable(pointing=pointing,
nominal=pointing_nominal,
time=pointing_time,
interval=pointing_interval,
weight=pointing_weight,
residual=pointing_residual,
frequency=pointing_frequency,
receptor_frame=receptor_frame,
pointing_frame=pointing_frame,
pointingcentre=vis.phasecentre,
configuration=vis.configuration)
assert isinstance(pt, PointingTable), "pt is not a PointingTable: %r" % pt
return pt
