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mtazzari committed Oct 28, 2017
2 parents 3f2778a + 0a19b38 commit 4e16105
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12 changes: 11 additions & 1 deletion README.rst
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Expand Up @@ -22,6 +22,7 @@ The current version implements the basic plotting functionality. More features a

If you are interested, or have feature requests, or encounter issues, consider creating an Issue or writing me an `email <[email protected]>`_. I am happy to have your feedback!

What's new in **v0.2.0**: a new `export_uvtable` function to export visibilities from an MS to an ASCII table.

Installation
------------
Expand All @@ -32,9 +33,18 @@ Installation
pip install git+https://github.com/mtazzari/uvplot.git
To make **uvplot** available in CASA, run from the shell:

.. code-block :: bash
casa-pip install git+https://github.com/mtazzari/uvplot.git
where `casa-pip` is a tool that can be downloaded `here <https://github.com/radio-astro-tools/casa-python>`_ .

**uvplot** has been tested on CASA versions > 4.7.0.

Example
-------

This is an example plot:

.. image:: static/uvplot.png
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -5,7 +5,7 @@

setup(
name="uvplot",
version="0.1.0",
version="0.2.0",
packages=find_packages(),
author="Marco Tazzari",
author_email="[email protected]",
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2 changes: 1 addition & 1 deletion uvplot/__init__.py
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Expand Up @@ -15,5 +15,5 @@
if matplotlib.get_backend().lower() == 'macosx':
matplotlib.use('TkAgg')

from .uvtable import UVTable
from .uvtable import UVTable, export_uvtable
from .constants import arcsec
3 changes: 2 additions & 1 deletion uvplot/constants.py
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Expand Up @@ -4,5 +4,6 @@
from __future__ import (division, print_function, absolute_import,
unicode_literals)

arcsec = 4.84813681109536e-06 # radians
arcsec = 4.84813681109536e-06 # radians
clight = 2.99792458e+8 # [m/s] Speed of light

168 changes: 167 additions & 1 deletion uvplot/uvtable.py
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Expand Up @@ -8,7 +8,9 @@
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec

__all__ = ["UVTable"]
from .constants import clight

__all__ = ["UVTable", "export_uvtable"]


class UVTable(object):
Expand Down Expand Up @@ -383,3 +385,167 @@ def plot(self, fig_filename=None, color='k', linestyle='.', label='',
plt.savefig(fig_filename)
else:
return axes


def export_uvtable(uvtable_filename, tb, vis="", split_args=None, split=None,
dualpol=True, fmt='%10.6e', keepms=False, verbose=False):
"""
Export visibilities from an MS Table to a uvtable. Requires execution inside CASA.
Currently the only uvtable format supported is ASCII.
Typicall call signature::
export_uvtable('uvtable_new.txt', tb, split=split,
split_args={'vis': 'sample.ms', datacolumn': 'data', spw='0,1}, verbose=True)"
Parameters
----------
uvtable_filename : str
Filename of the output uvtable, e.g. "uvtable.txt"
tb : CASA `tb` object
As tb parameter you **must** pass the tb object that is defined in the CASA shell.
Since tb cannot be accessed outside CASA, export_uvtable('uvtable.txt', tb, ...)
can be executed only inside CASA.
vis : str, optional
MS Table filename, e.g. mstable.ms
split_args : dict, optional
Default is None. If provided, perform a split before exporting the uvtable.
The split_args dictionary is passed to the CASA::split task.
The CASA::split task must be provided in input as split.
split : optional
CASA split task
dualpol : bool, optional
If the MS Table contains dual polarisation data. Default is True.
fmt : str, optional
Format of the output ASCII uvtable.
keepms : bool, optional
If True, keeps the outputvis created by the split command.
verbose: bool, optional
If True, print informative messages.
Note
----
By default, only the 1st spectral window (spw) is exported.
To export all the spws in an MS table provide split_args, e.g.::
split_args = {'vis': 'input.ms', 'outputvis':'input_tmp.ms', spw:'*'}
Example
-------
From within CASA, to extract all the visibilities from an MS table::
export_uvtable('uvtable.txt', tb, vis='sample.ms')
where `tb` is the CASA tb object (to inspect it type `tb` in the CASA shell).
For more information on `tb` see `<https://casa.nrao.edu/docs/CasaRef/table-Module.html>`_
From within CASA, to extract the visibilities in spectral windows 0 and 2 use
the `split_args` parameter and the CASA `split` task::
export_uvtable('uvtable.txt', tb, split=split,
split_args={'vis': 'sample.ms' , 'datacolumn': 'data', 'spw':'0,2'})
To perform these operations without running CASA interactively::
casa --nologger --nogui -c "from uvplot import export_uvtable; export_uvtable(...)"
ensuring that the strings are inside the '..' characters and not the "..." one.
"""
if vis != "":
MStb_name = vis

if split_args:
if split is None:
raise RuntimeError("Missing split parameter: provide the CASA split object in input. See typical call signature.")
if vis != "" and vis != split_args['vis']:
# raise RuntimeError("extract_uvtable: either provide `vis` or `split_args` as input parameters, not both.")
raise RuntimeError(
"extract_uvtable: vis={} input parameter doesn't match with split_args['vis']={}".format(
vis, split_args['vis']))

if not 'outputvis' in split_args.keys():
split_args.update(outputvis='mstable_tmp.ms'.encode())

MStb_name = split_args['outputvis']

if verbose:
print("Applying split. Creating temporary MS table {} from original MS table {}".format(MStb_name, split_args['vis']))

split(**split_args)
else:
if vis == "":
raise RuntimeError("Missing vis parameter: provide a valid MS table filename.")

if verbose: print("Reading {}".format(MStb_name))

tb.open(MStb_name)

# get coordinates
uvw = tb.getcol("UVW".encode())
u, v, w = [uvw[i, :] for i in range(3)]

# get weights
weights_orig = tb.getcol("WEIGHT".encode())

# get visibilities
tb_columns = tb.colnames()
if "CORRECTED_DATA" in tb_columns:
if verbose: print("Reading CORRECTED_DATA column")
data = tb.getcol("CORRECTED_DATA".encode())
else:
if verbose: print("CORRECTED_DATA column not found. Reading DATA column")
data = tb.getcol("DATA".encode())

spw = tb.getcol("DATA_DESC_ID".encode())
nspw = len(np.unique(spw))
if nspw > 1:
if split_args is None or (split_args is not None and 'spw' not in split_args.keys()):
print(
"Warning: the MS table {} has {} spectral windows. By default all of them are exported."
" To choose which spws to export, provide split_args with the spw parameter.".format(
MStb_name, nspw))

ispw = 0

if dualpol:
# dual polarisation: extract the polarised visibilities and weights
V_XX = data[0, ispw, :]
V_YY = data[1, ispw, :]
weights_XX = weights_orig[0, :]
weights_YY = weights_orig[1, :]

# compute weighted average of the visibilities and weights
V = (V_XX * weights_XX + V_YY * weights_YY) / (weights_XX + weights_YY)
weights = 0.5 * (weights_XX + weights_YY)

else:
# single polarisation
V = data[0, ispw, :]
weigths = weights_orig

spw_path = tb.getkeyword('SPECTRAL_WINDOW'.encode()).split()[-1]
tb.close()

# get the mean observing frequency
tb.open(spw_path)
freqs = tb.getcol('CHAN_FREQ'.encode()) # [GHz]
tb.close()

wle = clight / freqs.mean() # [m]

# export to file as ascii
if verbose: print(
"Exporting visibilities to {}".format(uvtable_filename))
np.savetxt(uvtable_filename,
np.column_stack([u, v, V.real, V.imag, weights]), fmt=fmt.encode(),
delimiter='\t',
header='Extracted from {}.\nwavelength[m] = {}\nColumns:\tu[m]\tv[m]\tRe(V)[Jy]\tIm(V)[Jy]\tweight'.format(
MStb_name, wle))

if split_args:
if not keepms:
from subprocess import call
if verbose:
print("Removing temporary MS table {}".format(split_args['outputvis']))
call("rm -rf {}".format(split_args['outputvis']), shell=True)

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