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Examine the data in ngc5921.ms using msplot. First, plot
calibrator data in FIELD_ID 1 (1328+307 = 3c286 - the flux calibrator) In
the msplot control panel:
Choose the plot type PLOT X VS Y.
Select X AXIS=uvdist.
Select Y AXIS=amplitude.
Limit the spectral selection to look at a single
channel, say one in the middle: channel 30.
(click on the SPECTRAL SELECTION button in the
ms control panel to choose channels).
Click on the Go button to make the plot in
Fig. 1.8.
Use the locate button to identify low points.
The observed data plotted are the RR & LL correlation. Cross
correlation (RL & LR) are not in this dataset.
Plot data in an XY plot with time vs. amplitude next. Hey! The data
look pretty good (Fig. 1.8)! No obvious flagging
needed based on the msplot plots. It is noisier than the
continuum data set example but that is because the RMS is higher
because the band width of a single channel is relatively narrow.
Figure 1.8:
msplot of the calibrators in the VLA
spectral-line dataset example. Left: 3c286 (1331+305), the flux calibrator.
Right: 1445+099 - the gain calibrator.
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Now examine all the channels in a raster plot (Fig. 1.9):
Choose the plot type DISPLAY DATA AS AN IMAGE.
Choose all 63 channels starting with 1 and incrementing
by 1 (click on the
SPECTRAL SELECTION button in the ms
control panel to see this).
Use the buttons on the right of the raster display to see a movie of
the channel data. The data look great here too but beware - the
autocorrelations were filled with this data set. We will use the flagger tool to flag autocorrelations in the next section (or they
will corrupt the final image).
Figure 1.9:
msplot of the calibrator 3c286 as a
raster image. Note that antenna 17 is gone for the first integration.
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It is best not to edit or flag source data until after it is
lcalibrated.
Next: Non-interactive editing: the flagger tool
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Previous: Continuum polarimetry case
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2004-08-28