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Version 1.9 Build 1556 |
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Package | synthesis | |
Module | autoflag | |
Tool | autoflag |
The newtimemed method uses a median-in-time filter. It follows the
procedure of timemed but considering a median value from all time slots in a
chunk.
The median is computed on a per-channel, per-baseline basis. The thr
parameter multiplying the standard deviation of the data in a chunk sets the
threshold for flagging. If the thr parameter is specified
(e.g. thr = 3), all points with greater than three standard deviations
away from the median are flagged.
Sets up the new time-median flagging method
Synopsis
setnewtimemed(thr, column, expr, fignore)
Description
Arguments
thr
Flagging threshold
Allowed:
numeric (real)
Default:
3
column
Which column to base flagging on
Allowed:
"DATA", "MODEL" or
"CORR"
Default:
"DATA"
expr
Expression to use
Allowed:
see text
Default:
"ABS I"
fignore
Ignore existing flags
Allowed:
Boolean
Default:
F
Example
- af:=autoflag('H031121.MS')
- af.setdata()
- af.setnewtimemed(thr=5, expr="ABS RR")
- af.run()
Next: autoflag.setdata - Function
Up: autoflag - Tool
Previous: autoflag.settimemed - Function
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