Counter
count the number of flags per baseline, frequency, and correlation. A flagging step also counts how many visibilities it flagged. Counts can be saved to a table to be plotted later using function plotflags
in python module lofar.dppp
.
inputs
type
- type:
string
- doc:
Case-insensitive step type; must be ‘counter’ (or ‘count’). Note that the type defaults to the step name, so if step name
count
is used, nothing more needs to be specified .
jsonfilename
- type:
string
- default:
FlagPercentagePerStation.JSON
- doc:
Filename for the JSON output .
path
- type:
string
- default:
""
- doc:
The directory where to create the flag percentages table. If empty, the path of the input MS is used .
save
- type:
bool
- default:
False
- doc:
If true, the flag percentages per frequency are saved to a table with extension
.flagfreq
and percentages per station to a table with extension.flagstat
. The basename of the table is the MS name (without extension) followed by the stepname and extension .
savetojson
- type:
bool
- default:
False
- doc:
If true, the flag ratios per antenna are saved as a JSON file .
showfullyflagged
- type:
bool
- doc:
If true, all fully flagged baselines are shown in the baseline selection format using their antenna indices (not names). For example: 0&1; 3&7 .
- default:
False
warnperc
- type:
double
- default:
0
- doc:
If > 0, print an extra message for each baseline or channel with a percentage flagged higher than this value. Such a message line can be easily grep-ed .