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.