# Script to plot correlated amplitudes for VGOS data in AIPS
# as function of time
from AIPS import AIPS
from Wizardry.AIPSData import AIPSUVData
import numpy as np
import sys
import matplotlib.pyplot as plt
AIPS.userno = 666
uvdata = AIPSUVData('VO0051', 'UVDATA', 1, 1)
# Get number of IFs
nif=uvdata.header['naxis'][uvdata.header['ctype'].index('IF')]
# Get lower-edge frequencies for these IFS
freq0=uvdata.header['crval'][uvdata.header['ctype'].index('FREQ')]
FQ=uvdata.table('FQ', 1)
freqs = (np.array(FQ[0]['if_freq']) + freq0 )/1e6 # Mhz
#print freqs
# Calculate the channels with pcal signal (need to be removed)
pcalch0 = 5- (freqs % 5) - 1
#print pcalch0
pcalch0 = np.round(pcalch0).astype(np.int)
#print pcalch0
print "START"
ts = []
for row in uvdata:
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
