2.1.1.0 autoflag.setnewtimemed

autoflag.setnewtimemed - Function

2.1.1 Sets up the new time-median flagging method
Description

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.

Arguments


Inputs
thr	Flagging threshold
	allowed:	double
	Default:	3.0
column	Which column to base flagging on
	allowed:	string
	Default:	MODEL CORR DATA
expr	Expression to use
	allowed:	string
	Default:	ABS I
fignore	Ignore existing flags
	allowed:	bool
	Default:	false

Returns
bool

Example

- af:=autoflag(’H031121.MS’)
- af.setdata()
- af.setnewtimemed(thr=5, expr="ABS RR")
- af.run()

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