Flagging Based on a Template - UVAFLAG
Often it is convenient to edit one visibility dataset (``the
template''), and then to apply the
flagging from this to another. For example, forming and flagging a
``channel-0'' dataset might be less painful than flagging a huge
spectral line dataset. Or you might want to flag a calibrated
dataset and then apply this to the raw data. The task that
can do these sorts of operations if uvaflag
- it matches
visibilities in the template and the input, and flags those visibilities
in the input that are flagged in the template.
The template dataset should be a subset of the dataset being flagged, and
the order of the records in the two datasets should be the same. Normally
correlations in the template and the input are matched by comparing time,
polarisation, baseline and frequency. However options nopol and
nofreq can turn off the matching of polarisation and frequency. Typical
inputs might be:
| UVAFLAG |
| vis=multi.uv |
Dataset to be flagged. |
| tvis=multi.chan0 |
Template dataset, say a channel-0 one. |
| options=nofreq |
Do not match on frequency, |
| |
i.e. ignore the frequency in multi.chan0 |
Miriad manager
2016-06-21