def test_observed_mollview():
""" Generate animated maps of observing coverage over 24 hours """
(latitude, longitude, elevation) = ('37.2', '-118.2', 1222)
ov = GSMObserver()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
obs = []
for ii in range(0, 24, 1):
ov.date = datetime(2000, 1, 1, ii, 0)
ov.generate(50)
sky = ov.view_observed_gsm(logged=True, show=False, min=9, max=20)
plt.savefig('generated_sky/galactic-%02d.png' % ii)
plt.close()
hp.mollview(sky, coord=['G', 'E'], min=9, max=20)
plt.savefig('generated_sky/ecliptic-%02d.png' % ii)
plt.close()
hp.mollview(sky, coord=['G', 'C'], min=9, max=20)
plt.savefig('generated_sky/equatorial-%02d.png' % ii)
plt.close()
ov.view(logged=True, show=False, min=9, max=20)
plt.savefig('generated_sky/ortho-%02d.png' % ii)
plt.close()
print ii
os.system('convert -delay 20 generated_sky/ortho-*.png ortho.gif')
os.system('convert -delay 20 generated_sky/galactic-*.png galactic.gif')
os.system('convert -delay 20 generated_sky/ecliptic-*.png ecliptic.gif')
os.system('convert -delay 20 generated_sky/equatorial-*.png equatorial.gif')
def test_gsm_observer():
""" Test GSMObserver() is working
"""
(latitude, longitude, elevation) = ('37.2', '-118.2', 1222)
ov = GSMObserver()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
ov.date = datetime(2000, 1, 1, 23, 0)
ov.generate(50)
ov.view(logged=True)
ov.view_observed_gsm(logged=True)
def test_gsm_observer():
""" Test GSMObserver() is working
"""
(latitude, longitude, elevation) = ('37.2', '-118.2', 1222)
ov = GSMObserver()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
ov.date = datetime(2000, 1, 1, 23, 0)
ov.generate(50)
ov.view(logged=True)
ov.view_observed_gsm(logged=True)
def observer_test():
# Setup observatory location - in this case, Parkes Australia
(latitude, longitude, elevation) = ('-32.998370', '148.263659', 100)
ov = GSMObserver2016()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
ov.date = datetime(2000, 1, 1, 23, 0)
ov.generate(1400)
d = ov.view(logged=True)
ov = GSMObserver()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
ov.date = datetime(2000, 1, 1, 23, 0)
ov.generate(1400)
d = ov.view(logged=True)
plt.show()
def observer_test():
# Setup observatory location - in this case, Parkes Australia
(latitude, longitude, elevation) = ('-32.998370', '148.263659', 100)
ov = GSMObserver2016()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
ov.date = datetime(2000, 1, 1, 23, 0)
ov.generate(1400)
d = ov.view(logged=True)
ov = GSMObserver()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
ov.date = datetime(2000, 1, 1, 23, 0)
ov.generate(1400)
d = ov.view(logged=True)
plt.show()
def test_observed_mollview():
""" Generate animated maps of observing coverage over 24 hours """
(latitude, longitude, elevation) = ('37.2', '-118.2', 1222)
ov = GSMObserver()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
obs = []
for ii in range(0, 24, 1):
ov.date = datetime(2000, 1, 1, ii, 0)
ov.generate(50)
sky = ov.view_observed_gsm(logged=True, show=False, min=9, max=20)
plt.savefig('generated_sky/galactic-%02d.png' % ii)
plt.close()
hp.mollview(sky, coord=['G', 'E'], min=9, max=20)
plt.savefig('generated_sky/ecliptic-%02d.png' % ii)
plt.close()
hp.mollview(sky, coord=['G', 'C'], min=9, max=20)
plt.savefig('generated_sky/equatorial-%02d.png' % ii)
plt.close()
ov.view(logged=True, show=False, min=9, max=20)
plt.savefig('generated_sky/ortho-%02d.png' % ii)
plt.close()
print ii
os.system('convert -delay 20 generated_sky/ortho-*.png ortho.gif')
os.system('convert -delay 20 generated_sky/galactic-*.png galactic.gif')
os.system('convert -delay 20 generated_sky/ecliptic-*.png ecliptic.gif')
os.system(
'convert -delay 20 generated_sky/equatorial-*.png equatorial.gif')
func = 1 - (((thetas - np.pi) / (thetalim - np.pi))**2) # Beam Function
for j in phis:
pixels = hp.ang2pix(nside, thetas, j)
n[pixels] = func[pixels]
n[n < 0] = 0
filter_array = n # This is the filter to apply to GSM
(latitude, longitude, elevation) = ('-32.998370', '148.263659', 100
) # Near EDGES site
delta_t = 60 # EDGES antenna takes a number of measurements in 24 hours; this is the time between measurements in minutes
sky_array = []
timer = datetime(2018, 1, 1, 0, 0)
while timer.hour < 23:
gsm = GSMObserver()
gsm.lon = longitude
gsm.lat = latitude
gsm.elev = elevation
gsm.date = timer
g = hp.ud_grade(
gsm.generate(78),
nside) # 78MHz is the frequency of the 21cm signal absorption feature
g_filt = g * n
#g_filt = g_filt*(np.amax(g)/np.amax(g_filt)) # normalisation
hp.orthview(g_filt, half_sky=True)
plt.savefig(timer.strftime("%H:%M:%S") + "_filtered.png")
g_int = np.trapz(g_filt)
sky_array.append(g_int)
timer = timer + timedelta(minutes=delta_t)
sky_array = np.array(sky_array)
sky = np.trapz(sky_array)
paper_beam = {}
paper_im = np.zeros_like(hera_im)
for fi, f in enumerate(temp_f):
beam_file = '/data4/beards/instr_data/paper_beam_{0}.fits'.format(np.int(f))
paper_im[:, fi] = hp.ud_grade(hp.read_map(beam_file), nside)
# Interpolate to the desired frequencies
func = interpolate.interp1d(temp_f, paper_im, kind='cubic', axis=1)
for pol in pols:
paper_beam[pol] = np.abs(func(freqs))**2.0
# Set up the observer
(latitude, longitude, elevation) = ('-30.7224', '21.4278', 1100)
ov = GSMObserver()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
fig = plt.figure("Tsky calc")
for poli, pol in enumerate(pols):
for fi, freq in enumerate(freqs):
print 'Forming HERA Tsky for frequency ' + str(freq) + ' MHz.'
# Rotate and project hera beam (Need to figure out how to do this w/o making figure)
pol_ang = 90 * (1 - poli) # Extra rotation for X
hbeam = hp.orthview(hera_beam[pol][:, fi], rot=[pol_ang, 90], fig=fig.number,
xsize=400, return_projected_map=True, half_sky=True)
hbeam[np.isinf(hbeam)] = np.nan
if calc_paper:
pbeam = hp.orthview(paper_beam[pol][:, fi], rot=[pol_ang, 90], fig=fig.number,
xsize=400, return_projected_map=True, half_sky=True)
pbeam[np.isinf(pbeam)] = np.nan
from astropy.time import Time
import matplotlib.pyplot as plt
import healpy as hp
df = 1.5625 # 100 MHz / 64 averaged channels
freqs = np.arange(100.0 + df / 2.0, 200.0, df)
hours = np.arange(0.0, 24.0, .5)
lsts = np.zeros_like(hours)
pols = ['X', 'Y'] # Only have X beam, but try rotating 90 degrees for Y
HERA_Tsky = np.zeros((len(pols), freqs.shape[0], lsts.shape[0]))
# Set up the observer
(latitude, longitude, elevation) = ('-30.7224', '21.4278', 1100)
ov = GSMObserver()
ov.lon = longitude
ov.lat = latitude
ov.elev = elevation
proj_sky = hp.projector.OrthographicProj(rot=[0, 0, 0],
half_sky=True,
xsize=400)
observed_sky = ov.generate(100)
nside_sky = hp.pixelfunc.npix2nside(hp.pixelfunc.get_map_size(observed_sky))
f_sky = lambda x, y, z: hp.pixelfunc.vec2pix(nside_sky, x, y, z, nest=False)
sky = proj_sky.projmap(observed_sky, f_sky)
generated_sky = np.zeros(
(freqs.shape[0], hours.shape[0], sky.shape[0], sky.shape[1]))
def calc_Tsky(self):
"""
Calculate the Tsky sim based on beam file and the GSM
"""
if self.beam_file is None:
raise(ValueError('Beam file is not defined, cannot compute Tsky simulation.'))
# Otherwise go ahead and calculate
self.Tsky = np.zeros((len(self.pols), len(self.freqs), len(self.lsts)))
# First set up beam
uvb = UVBeam()
uvb.read_beamfits(self.beam_file)
beam = {}
rot_pol = {}
#temp_f = fits.getdata(self.beam_file, extname='FREQS')
temp_f = uvb.freq_array[0]*1e-6
for i, pol in enumerate(self.pols):
'''try:
im = fits.getdata(self.beam_file, extname='BEAM_{0}'.format(pol))
rot_pol[pol] = False
except KeyError:
# My example file only has one pol, need to rotate it (later)
im = fits.getdata(self.beam_file, extname='BEAM_{0}'.format(self.pols[1 - i]))
rot_pol[pol] = True
func = interpolate.interp1d(temp_f, im, kind='cubic', axis=1)
beam[pol] = func(self.freqs)'''
rot_pol[pol] = False
im = uvb.data_array[0,0,i].transpose()
func = interpolate.interp1d(temp_f, im, kind='cubic', axis=1)
beam[pol] = func(self.freqs)
# Get the effective area
self.Ae = np.zeros((len(self.pols), len(self.freqs)))
for poli, pol in enumerate(self.pols):
self.Ae[poli] = ((const.c.to('m*MHz').value / self.freqs)**2. /
(4 * np.pi / im.shape[0] * np.sum(beam[pol], axis=0) /
np.max(beam[pol], axis=0)))
# Set up observer
if self.gsm==2008:
ov = GSMObserver()
elif self.gsm==2016:
ov = GSMObserver2016()
ov.lon = str(self.lon)
ov.lat = str(self.lat)
ov.elev = self.elev
fig = plt.figure('Tsky_calc') # Never found a way to not open a figure...
for poli, pol in enumerate(self.pols):
for fi, freq in enumerate(self.freqs):
if rot_pol[pol]:
pol_ang = 0.0
else:
pol_ang = 90.0
temp_beam = hp.orthview(beam[pol][:, fi], rot=[pol_ang, 90], fig=fig.number,
xsize=400, return_projected_map=True, half_sky=True)
temp_beam[np.isinf(temp_beam)] = np.nan
for ti, t in enumerate(self.hours):
plt.clf()
dt = datetime(2013, 1, 1, np.int(t), np.int(60.0 * (t - np.floor(t))),
np.int(60.0 * (60.0 * t - np.floor(t * 60.0))))
self.lsts[ti] = Time(dt).sidereal_time('apparent', self.lon).hour
ov.date = dt
ov.generate(freq)
d = ov.view(fig=fig.number)
sky = hp.orthview(d, fig=fig.number, xsize=400, return_projected_map=True, half_sky=True)
sky[np.isinf(sky)] = np.nan
self.Tsky[poli, fi, ti] = np.nanmean(temp_beam * sky) / np.nanmean(temp_beam)
inds = np.argsort(self.lsts)
self.lsts = self.lsts[inds]
self.Tsky = self.Tsky[:, :, inds]