gaincal – Determine temporal gains from calibrator observations – calibration task

Description

The complex gains for each antenna/spwid are determined from the data column (raw data), divided by the model column, for the specified fields. The gains can be obtained for a specified solution interval for each spectral window, or by a spline fit to all spectral windows simultaneously.

Previous calibrations (egs. bandpass) should be applied on the fly.

Parameters

Title

Parameter	Default	Description
vis	''
caltable	''
field	''
spw	''
intent	''
selectdata	True
timerange	''
uvrange	''
antenna	''
scan	''
observation	''
msselect	''
solint	'inf'
combine	''
preavg	float(-1.0)
refant	''
refantmode	'flex'
minblperant	int(4)
minsnr	float(3.0)
solnorm	False
gaintype	'G'
smodel	numpy.array( [  ] )
calmode	'ap'
append	False
splinetime	float(3600.0)
npointaver	int(3)
phasewrap	float(180.0)
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

uvrange

''

Select data within uvrange (default units meters)

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)

preavg

float(-1.0)

Pre-averaging interval (sec) (rarely needed)

refant

''

Reference antenna name(s)

refantmode

'flex'

Reference antenna mode

minblperant

int(4)

Minimum baselines _per antenna required for solve

minsnr

float(3.0)

Reject solutions below this SNR

solnorm

False

Normalize average solution amplitudes to 1.0 (G, T only)

gaintype

'G'

Type of gain solution (G,T,GSPLINE,K,KCROSS)

smodel

numpy.array( [  ] )

Point source Stokes parameters for source model.

calmode

'ap'

Type of solution: ('ap', 'p', 'a')

append

False

Append solutions to the (existing) table

splinetime

float(3600.0)

Spline timescale(sec); All spw's are first averaged.

npointaver

int(3)

The phase-unwrapping algorithm

phasewrap

float(180.0)

Wrap the phase for jumps greater than this value (degrees)

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