def compute_pointing(filename, channel="ch2"):
with open(filename) as f:
rawdata = cPickle.load(f)
# UCSB
lat = np.radians(34.41)
lon = np.radians(-119.85)
alt = 0
observer = ephem.Observer()
observer.lon = lon
observer.lat = lat
observer.elevation = alt
def conv(azimuth, elevation, utc):
observer.date = utc
return observer.radec_of(azimuth, elevation)
start_date = datetime(rawdata["sci_data"]["year"][0],
rawdata["sci_data"]["month"][0],
rawdata["sci_data"]["day"][0]) + timedelta(
hours=rawdata["sci_data"]["ut"][0])
l.info("Start time: %s", str(start_date))
az = np.radians(rawdata["az"])
el = np.radians(rawdata["el"])
ra = []
dec = []
for i in range(0, len(rawdata["sci_data"])):
ra_i, dec_i = conv(
az[i], el[i],
start_date + timedelta(hours=rawdata["sci_data"]["localtime"][i] -
rawdata["sci_data"]["localtime"][0]))
ra.append(ra_i)
dec.append(dec_i)
ra = np.array(ra)
dec = np.array(dec)
ha = altaz2ha(el, az, lat)
psi = compute_parallactic_angle(ha, lat, dec)
h5data = pd.DataFrame({"THETA": np.pi / 2 - dec})
h5data["PHI"] = ra
h5data["TEMP"] = rawdata["sci_data"][channel]["T"]
h5data["Q"] = rawdata["sci_data"][channel]["Q"]
h5data["U"] = rawdata["sci_data"][channel]["U"]
h5data["PSI"] = psi
h5data["FLAG"] = 0
return h5data
def compute_pointing(filename, channel="ch2"):
with open(filename) as f:
rawdata = cPickle.load(f)
# UCSB
lat = np.radians(34.41)
lon = np.radians(-119.85)
alt = 0
observer = ephem.Observer()
observer.lon = lon
observer.lat = lat
observer.elevation = alt
def conv(azimuth, elevation, utc):
observer.date = utc
return observer.radec_of(azimuth, elevation)
start_date = datetime(rawdata["sci_data"]["year"][0], rawdata["sci_data"]["month"][0], rawdata["sci_data"]["day"][0]) + timedelta(hours=rawdata["sci_data"]["ut"][0])
l.info("Start time: %s", str(start_date))
az = np.radians(rawdata["az"])
el = np.radians(rawdata["el"])
ra = []
dec = []
for i in range(0, len(rawdata["sci_data"])):
ra_i, dec_i = conv(az[i], el[i], start_date+timedelta(hours=rawdata["sci_data"]["localtime"][i]-rawdata["sci_data"]["localtime"][0]))
ra.append(ra_i)
dec.append(dec_i)
ra = np.array(ra)
dec = np.array(dec)
ha = altaz2ha(el, az, lat)
psi = compute_parallactic_angle(ha, lat, dec)
h5data=pd.DataFrame({"THETA" : np.pi/2 - dec })
h5data["PHI"] = ra
h5data["TEMP"] = rawdata["sci_data"][channel]["T"]
h5data["Q"] = rawdata["sci_data"][channel]["Q"]
h5data["U"] = rawdata["sci_data"][channel]["U"]
h5data["PSI"] = psi
h5data["FLAG"] = 0
return h5data
observer.lat = lat[i]
observer.elevation = alt[i]
observer.date = utc
return observer.radec_of(azimuth, elevation)
START_DATE = datetime.datetime(2012, 8, 1)
rotation_speed = np.radians(-1 * 360/60)
ut = np.arange(0., 48., 1/(30.*3600.))
az = rotation_speed * (ut * 3600.) % (2*np.pi)
ra = []
dec = []
el = np.radians(45)
for i in range(0, len(ut)):
ra_i, dec_i = conv(0, az[i], el, START_DATE+datetime.timedelta(ut[i]/24.))
ra.append(ra_i)
dec.append(dec_i)
ra = np.array(ra)
dec = np.array(dec)
ha = altaz2ha(el, az, lat)
psi = compute_parallactic_angle(ha, lat, dec)
pix = hp.ang2pix(NSIDE, np.pi/2-dec, ra, nest=False)
from mapmaking import pix2map
hit = hp.ma(pix2map(pix, NSIDE))
hit.mask = hit == 0
hp.mollview(np.log10(hit).filled(),min=0,max=3,unit='log10 hits',title='Hitmap 48hrs Alice Springs')
out_filename = 'data/eq_pointing_%d.fits' % (freq)
if mag:
out_filename = out_filename.replace('.fits','_mag.fits')
with fits.create(out_filename) as f:
f.write_HDU("TIME", OrderedDict({'UT': ut}))
for pnt_ch in channels:
print("Channel %d" % pnt_ch)
az = np.radians(pointing_file[0].read_column('az%d' % pnt_ch)[good])
el = np.radians(pointing_file[0].read_column('el%d' % pnt_ch)[good])
ra = []
dec = []
for i in range(0, len(ut)):
if i % 100000 == 0:
print("%.1d perc" % (i * 100./len(ut)))
ra_i, dec_i = conv(i, az[i], el[i], START_DATE+datetime.timedelta(ut[i]/24.))
ra.append(ra_i)
dec.append(dec_i)
ra = np.array(ra)
dec = np.array(dec)
ha = altaz2ha(el, az, lat)
psi = compute_parallactic_angle(ha, lat, dec)
pnt = OrderedDict()
pnt['THETA'] = np.pi/2 - dec
pnt['PHI'] = ra
pnt['PSI'] = psi
f.write_HDU("CHANNEL_%d" % pnt_ch, pnt)