polcal – Determine instrumental polarization calibrations – calibration task

Description

The complex instrumental polarization factors (D-terms) for each antenna/spwid are determined from the data for the specified calibrator sources. Previous calibrations can 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	`'obs,scan'`
preavg	`float(300.0)`
refant	`''`
minblperant	`int(4)`
minsnr	`float(3.0)`
poltype	`'D+QU'`
smodel	`numpy.array( [ ] )`
append	`False`
docallib	`False`
callib	`''`
gaintable	`numpy.array( [ ] )`
gainfield	`numpy.array( [ ] )`
interp	`numpy.array( [ ] )`
spwmap	`numpy.array( [ ] )`

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

combine

'obs,scan'

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

preavg

float(300.0)

Pre-averaging interval (sec)

refant

''

Reference antenna name(s)

minblperant

int(4)

Minimum baselines _per antenna required for solve

minsnr

float(3.0)

Reject solutions below this SNR

poltype

'D+QU'

Type of instrumental polarization solution

smodel

numpy.array( [ ] )

Point source Stokes parameters for source model.

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

gainfield

numpy.array( [ ] )

Select a subset of calibrators from gaintable(s)

interp

numpy.array( [ ] )

Interpolation mode (in time) to use for each gaintable

spwmap

numpy.array( [ ] )

Spectral windows combinations to form for gaintables(s)