fringefit – Fringe fit delay and rates – calibration task

Description

Phase offsets, groups delays and delay rates are calculated with respect to a specified referance antenna by a two-dimensional FFT and subsequent least-squares optimisation.

Previous calibrations should be applied on the fly.

Parameters

Title

Parameter	Default	Description
vis	''
caltable	''
field	''
spw	''
intent	''
selectdata	True
timerange	''
antenna	''
scan	''
observation	''
msselect	''
solint	'inf'
combine	''
refant	''
minsnr	float(3.0)
zerorates	False
append	False
docallib	False
callib	''
gaintable	numpy.array( [  ] )
gainfield	numpy.array( [  ] )
interp	numpy.array( [  ] )
spwmap	numpy.array( [  ] )
parang	False

Parameter Explanations

vis

''

Name of input visibility file

caltable

''

Name of output gain calibration table

field

''

Select field using field id(s) or field name(s)

spw

''

Select spectral window/channels

intent

''

Select observing intent

selectdata

True

Other data selection parameters

timerange

''

Select data based on time range

antenna

''

Select data based on antenna/baseline

scan

''

Scan number range

observation

''

Select by observation ID(s)

msselect

''

Optional complex data selection (ignore for now)

solint

'inf'

Solution interval: egs. 'inf', '60s' (see help)

combine

''

Data axes which to combine for solve (obs, scan, spw, and/or field)

refant

''

Reference antenna name(s)

minsnr

float(3.0)

Reject solutions below this signal-to-noise ratio (at the FFT stage)

zerorates

False

Zero delay-rates in solution table

append

False

Append solutions to the (existing) table

docallib

False

Use callib or traditional cal apply parameters

callib

''

Cal Library filename

gaintable

numpy.array( [  ] )

Gain calibration table(s) to apply on the fly

gainfield

numpy.array( [  ] )

Select a subset of calibrators from gaintable(s)

interp

numpy.array( [  ] )

Temporal interpolation for each gaintable (‘’=linear)

spwmap

numpy.array( [  ] )

Spectral windows combinations to form for gaintables(s)

parang

False

Apply parallactic angle correction on the fly