uvsub.in2data = imagedatacl
uvsub.inver = 1
uvsub.outdisk = indisk
uvsub.ncomp[1] = -1000000
uvsub.opcode = "DIV"
uvsub.go()
uvdata = AIPSUVData(uvname[i], "UVSUB", indisk, 1)
# wtmod = AIPSTask('WTMOD') #change weight relative to amplitude adjustments
# wtmod.indata = uvdata
# wtmod.aparm[1] = (maxamplitude(uvname[i])**2)*(10**10)
# wtmod.outdisk = indisk
# wtmod.go()
# uvdata = AIPSUVData(uvname[i],'WTMOD',2,1)
uvdata2 = WizAIPSUVData(uvname[i], "UVSUB", indisk, 1)
uvdata2.header["crval"][4] = pointcenRA
uvdata2.header.update()
uvdata2.header["crval"][5] = pointcenDEC
uvdata2.header.update()
uvdata.rename(name="COMBO", klass="UV", seq=0)
if len(uvname) > 1:
dbapp = AIPSTask("DBAPP")
uvdata = AIPSUVData("COMBO", "UV", indisk, 1)
dbapp.inname = "COMBO"
dbapp.inclass = "UV"
dbapp.indisk = indisk
dbapp.inseq = 2
dbapp.in2seq = len(uvname)
dbapp.outdata = uvdata
dbapp.outdisk = indisk
uvsub.in2data = imagedatacl
uvsub.inver = 1
uvsub.outdisk = 2
uvsub.ncomp[1] = -1000000
uvsub.opcode = 'DIV'
uvsub.go()
uvdata = AIPSUVData(uvname[i],'UVSUB',2,1)
wtmod = AIPSTask('WTMOD') #change weight relative to amplitude adjustments
wtmod.indata = uvdata
wtmod.aparm[1] = (maxamplitude(uvname[i])**2)*(10**10)
wtmod.outdisk = 2
wtmod.go()
uvdata = AIPSUVData(uvname[i],'WTMOD',2,1)
uvdata2 = WizAIPSUVData(uvname[i], 'WTMOD',2,1)
uvdata2.header['crval'][4] = pointcenRA
uvdata2.header.update()
uvdata2.header['crval'][5] = pointcenDEC
uvdata2.header.update()
uvdata.rename(name='COMBO',klass='UV', seq=0)
if len(uvname) > 1:
dbapp = AIPSTask('DBAPP')
uvdata = AIPSUVData('COMBO','UV',2,1)
dbapp.inname = 'COMBO'
dbapp.inclass = 'UV'
dbapp.indisk = 2
dbapp.inseq = 2
dbapp.in2seq = len(uvname)
dbapp.outdata = uvdata
dbapp.outdisk = 2
def dfluxpy(freq,uvdata):
"Function to calculate 3C286 values, modified from Danielle's dfluxpy.py."
"Updated 20140506 to include new coefficients and a calculation for projected"
"baseline length from inspecting the u's and v's."
data=WizAIPSUVData(uvdata.name, uvdata.klass, uvdata.disk, uvdata.seq)
antab = data.table('AN',1)
numLO = 10
numM2 = 10
for row in antab: # Ignore the Lovell baselines
if 'Lo' in row.anname:
numLO = row.nosta
if 'Mk2' in row.anname:
numM2 = row.nosta
u=[]
v=[]
proj=[]
basel = []
baseline = 10000000
for visibility in data:
if ( visibility.baseline != [numLO, numM2] ) and ( visibility.baseline != [numM2, numLO] ):
u.append(visibility.uvw[0])
v.append(visibility.uvw[1])
newbasel = (299792458.0/data.header.crval[2]) * math.sqrt((visibility.uvw[0] ** 2) + (visibility.uvw[1] ** 2))
proj.append( newbasel )
if newbasel < baseline:
baseline = newbasel
basel = visibility.baseline
antab = data.table('AN',1)
for row in antab:
if row.nosta == basel[0]:
ant1=row.anname
for row in antab:
if row.nosta == basel[1]:
ant2=row.anname
print "For projected baseline", baseline/1000, "km, between", ant1, "and", ant2
######################################
# Perley & Butler 2012 values
A = 1.2515
B = -0.4605
C = -0.1715
D = 0.0336
log10f = (math.log(freq)/2.3025851) - 3.0; # Why the -3? Because freq has to be GHz for the formula to work.
log_flux = A + B*log10f + C*log10f*log10f + D*log10f*log10f*log10f
vlaflux = math.pow(10.0,log_flux)
ref_bl_length = 11236.79 # MK-TA separation in metres.
ref_freq = 5000.0
ref_rho = 0.04
# thisbl = "this baseline (Mk-Ta)"
bl_length = baseline
frac = (freq / ref_freq) * (bl_length / ref_bl_length)
rho = frac * frac * ref_rho
merlinflux = vlaflux / (1.0 + rho)
print "\tfor IF with freq =", freq, ", e-MERLIN flux =", merlinflux
return merlinflux
uvflg()
uvflg.stokes = 'RL'
uvflg()
print uvdata.tables
fqtable = uvdata.table('FQ', 0)
print fqtable[0]
fgtable = uvdata.table('FG', 0)
for row in fgtable:
print row
continue
assert (fgtable[0].pflags == [0, 0, 1, 1])
assert (fgtable[1]['pflags'] == [0, 0, 1, 0])
uvdata2 = WAIPSUVData(uvdata.name, uvdata.klass, uvdata.disk, uvdata.seq)
fgtable = uvdata2.table('FG', 0)
row = fgtable[1]
row.ants = [2, 0]
fgtable.append(row)
fgtable.close()
fgtable = uvdata.table('FG', 0)
for row in fgtable:
print row
continue
assert (fgtable[2].ants == [2, 0])
finally:
uvdata.zap()
uvsub.inver = 1
uvsub.outdisk = 2
uvsub.ncomp[1] = -1000000
uvsub.opcode = 'DIV'
uvsub.go()
uvdata = AIPSUVData(uvname[i], 'UVSUB', 2, 1)
wtmod = AIPSTask(
'WTMOD') #change weight relative to amplitude adjustments
wtmod.indata = uvdata
wtmod.aparm[1] = (maxamplitude(uvname[i])**2) * (10**10)
wtmod.outdisk = 2
wtmod.go()
uvdata = AIPSUVData(uvname[i], 'WTMOD', 2, 1)
uvdata2 = WizAIPSUVData(uvname[i], 'WTMOD', 2, 1)
uvdata2.header['crval'][4] = pointcenRA
uvdata2.header.update()
uvdata2.header['crval'][5] = pointcenDEC
uvdata2.header.update()
uvdata.rename(name='COMBO', klass='UV', seq=0)
if len(uvname) > 1:
dbapp = AIPSTask('DBAPP')
uvdata = AIPSUVData('COMBO', 'UV', 2, 1)
dbapp.inname = 'COMBO'
dbapp.inclass = 'UV'
dbapp.indisk = 2
dbapp.inseq = 2
dbapp.in2seq = len(uvname)
dbapp.outdata = uvdata
dbapp.outdisk = 2
delay_directory = "./"
except KeyError:
delay_directory = "./"
delays = {}
for s in cfg['stations']:
filename = delay_directory + '/' + cfg['exper_name'] + '_' + s + '.del'
print 'open delay for station ', s, ' : file = ', filename
file = open(filename, 'r+')
hsize = struct.unpack('i', file.read(4))[0]
header = file.read(hsize)
delays[s.upper()] = file
a = cfg['aips']
AIPS.userno = a['user_nr']
uvdata = AIPSUVData(a['name'].encode('ascii'), a['class'].encode('ascii'),
a['disk'], a['seq'])
return delays, uvdata
def get_cl(uvdata):
cl = uvdata.table('CL', 0)
nstation = len(uvdata.antennas)
#scan = [[[]]*2]*nstation
scan = [[[] for j in range(4)] for i in range(nstation)]
#pdb.set_trace()
cal = []
start_obs = [int(t) for t in uvdata.header.date_obs.split('-')]
t0 = datetime.datetime(start_obs[0], start_obs[1], start_obs[2])
time = [cl[0].time]
source_old = cl[0].source_id
previous_antenna = -1
assert([3, 'AIPS CL'] in uvdata.tables)
uvdata.zap_table('CL', 1)
assert([3, 'AIPS CL'] in uvdata.tables)
assert([1, 'AIPS CL'] not in uvdata.tables)
tacop = AIPSTask('tacop')
tacop.indata = uvdata
tacop.outdata = uvdata
tacop.inext = 'CL'
tacop.invers = 3
tacop.outvers = 5
tacop()
uvdata2 = WAIPSUVData(uvdata.name, uvdata.klass, uvdata.disk, uvdata.seq)
assert([5, 'AIPS CL'] in uvdata2.tables)
uvdata2.zap_table('CL', 0)
assert([5, 'AIPS CL'] not in uvdata2.tables)
assert([3, 'AIPS CL'] in uvdata2.tables)
assert([1, 'AIPS CL'] not in uvdata2.tables)
count = 0
for cl in uvdata2.table('CL', 3):
count += 1
continue
assert(count > 0)
from AIPS import AIPS
from AIPSData import AIPSUVData
from Wizardry.AIPSData import AIPSUVData as WAIPSUVData
AIPS.userno = 100
if __name__ == '__main__':
data = WAIPSUVData('MULTI', 'MSORT ', 1, 1)
sntable = data.table('SN', 1)
n = 0
with open('delay.txt', 'w') as f:
f.write('# pulse antenna delay(s) weight\n')
for item in sntable:
if item['antenna_no'] == 1:
# next pulse
n += 1
if item['antenna_no'] in [1, 3, 4, 7]:
delay = item['delay_1'][0]
weight = item['weight_1'][0]
if not (delay > 1 or delay == 0.):
f.write(
str(n) + ' ' + ' ' + str(item['antenna_no']) + ' ' +
str(delay) + ' ' + str(weight) + '\n')
