accor – Normalize visibilities based on auto-correlations – calibration task

Description

Determines the amplitude corrections neede due to errors in sampler thresholds using measurements of auto-correlation spectra. This correction is typically requiered for data correlated with the DiFX correlator (such as VLBA data). Other correlators (such as the SFXC correlator used to correlate EVN data at JIVE) already apply this correction at the correlator. In this case, running this task is not necessary.

Parameters

Title
Parameter	Default	Description
vis	`''`
caltable	`''`
field	`''`
spw	`''`
intent	`''`
selectdata	`True`
timerange	`''`
antenna	`''`
scan	`''`
observation	`''`
msselect	`''`
solint	`'inf'`
combine	`''`
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

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)

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)