Collection of scripts and small programs used by the EVN Support Scientists at JIVE during the regular data processing of EVN observations.
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4 years ago
#! /usr/bin/python
"""
Flag visibilities with weights below the provided threshold.
Usage: flag_weights.py msdata threshold
Options:
msdata : str MS data set containing the data to be flagged.
threshold : float Visibilities with a weight below the specified
value will be flagged. Must be positive.
Version: 1.3
Date: Apr 2018
4 years ago
Written by Benito Marcote (marcote@jive.eu)
version 1.3 changes
- Minor fixes (prog name in optparse info).
4 years ago
version 1.2 changes
- Minor fixes.
version 1.1 changes
- Added option -v that allows you to just get how many visibilities will
be flagged (but without actually flagging the data).
4 years ago
"""
from pyrap import tables as pt
import numpy as np
import sys
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help_msdata = 'Measurement set containing the data to be corrected.'
help_threshold = 'Visibilities with a weight below this value will be flagged. Must be positive.'
help_v = 'Only checks the visibilities to flag (do not flag the data).'
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try:
usage = "%(prog)s [-h] <measurement set> <weight threshold>"
description="""Flag visibilities with weights below the provided threshold.
"""
import argparse
parser = argparse.ArgumentParser(description=description, prog='flag_weights.py', usage=usage)
parser.add_argument('msdata', type=str, help=help_msdata)
parser.add_argument('threshold', type=float, help=help_threshold)
parser.add_argument('--version', action='version', version='%(prog)s 1.3')
parser.add_argument("-v", "--verbose", default=True, action="store_false" , help=help_v)
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arguments = parser.parse_args()
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#print('The arguments ', arguments)
verbose = arguments.verbose
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msdata = arguments.msdata[:-1] if arguments.msdata[-1]=='/' else arguments.msdata
threshold = arguments.threshold
except ImportError:
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usage = "%prog [-h] [-v] <measurement set> <weight threshold>"
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description="""Flag visibilities with weights below the provided threshold.
"""
# Compatibility with Python 2.7 in eee
import optparse
parser = optparse.OptionParser(usage=usage, description=description, prog='flag_weights.py', version='%prog 1.3')
parser.add_option("-v", action="store_false", dest="verbose", default=True, help=help_v)
theparser = parser.parse_args()
verbose = theparser[0].verbose
arguments = theparser[1]
#arguments = parser.parse_args()[1]
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if len(arguments) != 2:
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print('Two arguments must be provided: flag_weights.py [-h] [-v] <measurement set> <weight threshold>')
print('Use -h to get help.')
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sys.exit(1)
msdata = arguments[0][:-1] if arguments[0][-1]=='/' else arguments[0]
threshold = float(arguments[1])
assert threshold > 0.0
with pt.table(msdata, readonly=False, ack=False) as ms:
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weights = ms.getcol("WEIGHT")
print('Got {0:9} weights'.format(weights.size))
indexes = np.where(weights < threshold)
indexes2 = np.where((weights < threshold) & (weights > 0.0))
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print('Got {0:9} bad points'.format(indexes[0].size))
print('{0:04.3}% of the total visibilities to flag\n'.format(100.0*indexes[0].size/weights.size))
print('{0:04.3}% of actual data (non-zero) to flag\n'.format(100.0*indexes2[0].size/weights.size))
if verbose:
weights[indexes] = -np.abs(weights[indexes])
ms.putcol("WEIGHT", weights)
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print('Done.')
else:
rint('Flag has not been applied.')
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ms.close()