bandpass – Calculates a bandpass calibration solution – calibration task

Description

Determines the amplitude and phase as a function of frequency for each spectral window containing more than one channel. Strong sources (or many observations of moderately strong sources) are needed to obtain accurate bandpass functions. The two solution choices are: Individual antenna/based channel solutions ‘B’; and a polynomial fit over the channels ‘BPOLY’. The ‘B’ solutions can determined at any specified time interval, and is recommended in most applications.

Parameters

Title
Parameter	Default	Description
vis	`''`
caltable	`''`
field	`''`
spw	`''`
intent	`''`
selectdata	`True`
timerange	`''`
uvrange	`''`
antenna	`''`
scan	`''`
observation	`''`
msselect	`''`
solint	`'inf'`
combine	`'scan'`
refant	`''`
minblperant	`int(4)`
minsnr	`float(3.0)`
solnorm	`False`
bandtype	`'B'`
smodel	`numpy.array( [ ] )`
append	`False`
fillgaps	`int(0)`
degamp	`int(3)`
degphase	`int(3)`
visnorm	`False`
maskcenter	`int(0)`
maskedge	`int(5)`
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 in time[,freq]

combine

'scan'

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

refant

''

Reference antenna name(s)

minblperant

int(4)

Minimum baselines _per antenna required for solve

minsnr

float(3.0)

Reject solutions below this SNR (only applies for bandtype = B)

solnorm

False

Normalize average solution amplitudes to 1.0

bandtype

'B'

Type of bandpass solution (B or BPOLY)

smodel

numpy.array( [ ] )

Point source Stokes parameters for source model.

append

False

Append solutions to the (existing) table

fillgaps

int(0)

Fill flagged solution channels by interpolation

degamp

int(3)

Polynomial degree for BPOLY amplitude solution

degphase

int(3)

Polynomial degree for BPOLY phase solution

visnorm

False

Normalize data prior to BPOLY solution

maskcenter

int(0)

Number of channels to avoid in center of each band

maskedge

int(5)

Fraction of channels to avoid at each band edge (in %)

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( [ ] )

Interpolation mode (in time) to use for each gaintable

spwmap

numpy.array( [ ] )

Spectral windows combinations to form for gaintables(s)

parang

False

Apply parallactic angle correction