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uvaflag

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NAME

uvaflag - Use flags in one visibility dataset to flag another.  

PERSON RESPONSIBLE

rjs  

CATEGORIES

calibration  

DESCRIPTION

UVAFLAG is a MIRIAD task which flags correlations in one visibility dataset based on the flag status of matching correlations in a template dataset.

The template dataset should be a subset of the visibility dataset being flagged, and the order of records in the two datasets should be the same. Normally correlations in the template and visibility datasets are matched by comparing time, polarisation, baseline and frequency. However options `nopol' and `nofreq' can turn off the matching of polarisation and frequency.  

PARAMETERS

vis
The input visibility file to be flagged. No default.
tvis
The template input visibility file. The default is the same as the `vis' dataset. This default makes no sense without the `nopol' or `nofreq' options. Several files can be given. Wildcards are supported.
select
Normal visibility selection, which is applied to the template dataset. See the help on "select" for more information.
options
Extra processing options. Several can be given, separated by commas. Minimum match is supported. Possible values are:
  nopol  The polarisation of the records in the template are
         ignored. If any polarisation in the template is
         flagged, then all polarisations in the input are flagged.
         This can be useful when applying flagging based on one
         polarisation type (e.g. stokes V) to the other polarisations.
  nofreq The frequency of the correlations in the template are
         ignored. If any channel in the template is flagged, then
         all channels in the input are flagged. This can be useful
         when applying flagging based on a `channel-0' dataset.
  noapply Do not apply the flagging, just report the statistics
         about what would be flagged.


 

Index

NAME
PERSON RESPONSIBLE
CATEGORIES
DESCRIPTION
PARAMETERS

This document was created by man2html, using the manual pages.
Time: 18:35:38 GMT, July 05, 2011