CASA EVLA Scripts: Difference between revisions

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from Script_plotWX import plotWX
from Script_plotWX import plotWX
myTau = plotWX('MSname.ms')
myTau = plotWX('MSname.ms')
</source>
== Importing, listing, plotting, and applying online flags ==
[[Image:PlotFlags.png|200px|thumb|right|plotflags figure]]
Download script: [[File:Readflags.py]]
This script reads the Flags.xml table in the SDM directory, and parses the online antenna flags so that they can be listed, plotted, and applied to the MS.  Note that the <tt>tbuff</tt> parameter is a padding value (in seconds) for creating the flag time ranges.
Here, flags are read in and listed, then plotted and applied.  The plot file is saved to a file for future reference.
<source lang="python">
# In CASA
from Readflags import listflags, readflags, plotflags, useflags
myFlags = readflags('mySDMfile', tbuff=1.5)
listflags(myFlags)
plotflags(myFlags)
pl.savefig('mySDMfile_onlineFlags.png')
useflags('myVis.ms', myFlags)
</source>
</source>

Revision as of 16:03, 6 October 2011


Overview

This is a collection of Python scripts to help process and analyze EVLA data. Although they are not officially supported, some authors may choose to provide contact information. A brief description on how to run each script is provided by the author. If you would like to contribute, and do not have access to the CASA Guides Wiki, you may email Miriam Krauss (mkrauss at nrao.edu).

Plotting the weather table, obtaining observation-specific opacity information

plotWX weather table figure

Download script: File:Script plotWX.py

This script will plot weather information contained in the MS (see example below) as well as estimate the zenith opacity for each spectral window. This script is only intended for use with the EVLA-- it contains hardcoded site parameters and EVLA-specific models. Feel free to contact Josh Marvil (jmarvil + 'at' + nrao.edu) with questions or comments.


The plot will contain the following subfigures:

  • The Sun's elevation, calculated from the date and time of the observation
  • Wind speed and direction, as read from the weather table
  • Temperature and Dewpoint, as read from the weather table
  • Estimates of Precipitable Water Vapor (PWV), based upon:
    • A Seasonal model based on VLA measurements between 1998-2005 (See VLA Test Memo #232)
    • A calculation involving temperature and dewpoint (See VLA Scientific Memo #176)
    • The average of the above two methods (currently accepted as the best predictor)
  • Zenith optical depth from 1-50 GHz, calculated for each of the above three estimates of PWV, averaged over time. This calculation uses the atmospheric toolkit available within casa (see help(at) within CASA for more info)


This can be run from within CASA as a Script in the following way:

  1. place Script_plotWX.py in your working directory
  2. open Script_plotWX.py in a text editor
  3. find this line near the top of the script: myMS='MSname.ms'
  4. replace MSname.ms with the name of your measurement set, and save
  5. in CASA, execute the script:


# In CASA
execfile 'Script_plotWX.py'


Or, this script can be run within CASA as a function:

  1. place Script_plotWX.py in your working directory
  2. in CASA, import the function definition and call the function, replacing MSname.ms with the name of your measurement set:


# In CASA
from Script_plotWX import plotWX
myTau = plotWX('MSname.ms')