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Next: Data editing Up: ATCA reduction Previous: Filling ATCA data into an AIPS++ MeasurementSet

Data examination and inspection

Once the data have been filled to a MeasurementSet, they can be examined or displayed using various tools. The Catalog tool provides an overview of AIPS++ data files at the highest level, as individual AIPS++ tables of different types (e.g. images, MS, etc) in a given directory. The Catalog tool can be started from Glish as:

include 'catalog.g'
dc.gui()

Here, dc is the default catalog tool. It can also be accessed via the Toolmanager interface from the Tools in Use button. A mouse click on an individual MS listed in the catalog GUI followed by a click on the Summary button, will write a summary of the data in the MS to the logger (including frequency and polarization settings and fieldnames). This information is useful during calibration.

When you click on the View button (to view the presently selected catalog item) you will launch the tablebrowser which provides facilities to browse and examine all data fields in the MS main and sub-tables.

Note that indices in the MS, such as FIELD_ID, are stored as integers beginning with zero when viewed at the low level provided by the tablebrowser. All AIPS++ synthesis tools correct for this artifact of c+ + and present selection of indices beginning at one.

The primary graphical visibility data visualization tool in AIPS++ at present is msplot. msplot allows line and raster plots of the observed, corrected, and model data against a range of MS indices and parameters, as well as associated plots such as uv-coverage. Facilities are provided to support versatile data selection, range setting and plot iteration. Interactive editing is also supported, as described in the next section. It can be started from Glish via:

include 'msplot.g'
p := msplot(msfile='data.ms',
            edit=T);                # Allow editing as well as inspection

This will launch a gui for plot type and data selection. It can also be launched from the toolmanager via the Synthesis package, and ms module.

Consult the msplot documentation for more information on using this tool.

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