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cal2pkl.py
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cal2pkl.py
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"""
Storing calibration solutions from CASA into a dictoionary
"""
from pyrap.tables import table
import numpy as np
import os, sys
import optparse
import pickle
o = optparse.OptionParser()
o.set_usage('python cal2npz.py [options] *.cal')
o.set_description(__doc__)
o.add_option('--smooth', dest='smooth', action='store_true', help='Smoothen the calibration solutions')
o.add_option('-o', dest='outfile', default='gain_solution', help='Name of output file. Default is gain_solution')
opts, args = o.parse_args(sys.argv[1:])
for cal in args:
print ('Loading {}'.format(cal))
tb = table(cal)
gsoln = tb.getcol('CPARAM')
flag = tb.getcol('FLAG')
_sh = gsoln.shape
freqs = np.linspace(100,200,203)
gain_dict = {}
for ii in range(_sh[0]):
if not ii in gain_dict.keys(): gain_dict[ii] = {}
sgains = gsoln[ii, :, 0]
flags = flag[ii, :, 0]
gain_dict[ii]['flag'] = flags
xdata = freqs[~flags]
if len(xdata) > 0:
gains = np.ones((len(sgains)), dtype=np.complex64)
ydata = sgains[~flags]
if opts.smooth:
weights = np.polyfit(xdata, np.abs(ydata), 3)
model = np.poly1d(weights)
gains[~flags] = np.abs(model(xdata)) * np.exp(1j * np.angle(ydata)) # preserving the original phase
outfile = opts.outfile + '.smooth.pkl'
else:
gains[~flags] = ydata
outfile = opts.outfile + '.pkl'
gain_dict[ii]['gain'] = gains
else:
gain_dict[ii]['gain'] = np.ones((len(freqs)), dtype=np.complex64)
with open(outfile, 'wb') as fl:
pickle.dump(gain_dict, fl)