widebandpbcor – Wideband PB-correction on the output of the MS-MFS algorithm – imaging task

Description

WideBand Primary-beam correction. It computes a set of PBs at the specified frequencies, calculates Taylor-coefficient images that represent the PB spectrum, performs a polynomial division to PB-correct the output Taylor-coefficient images from clean(nterms>1), and recompute spectral index (and curvature) using the PB-corrected Taylor-coefficient images

Parameters

Title
Parameter	Default	Description
vis	`''`	Name of measurement set.
imagename	`''`	Name-prefix of multi-termimages to operate on.
nterms	`int(2)`	Number of taylor terms to use
threshold	`''`	Intensity above which to re-calculate spectral index
action	`'pbcor'`	PB-correction (pbcor) or only calc spectral-index (calcalpha)
reffreq	`''`	Reference frequency (if specified in clean)
pbmin	`float(0.2)`	PB threshold below which to not correct
field	`''`	Fields to include in the PB calculation
spwlist	`numpy.array( [ int() ] )`	List of N spw ids
chanlist	`numpy.array( [ int() ] )`	List of N channel ids
weightlist	`numpy.array( [ float() ] )`	List of N weights (relative)

Parameter Explanations

vis

''

Name of measurement set.

imagename

''

Name-prefix of multi-termimages to operate on.

nterms

int(2)

Number of taylor terms to use

threshold

''

Intensity above which to re-calculate spectral index

action

'pbcor'

PB-correction (pbcor) or only calc spectral-index (calcalpha)

reffreq

''

Reference frequency (if specified in clean)

pbmin

float(0.2)

PB threshold below which to not correct

field

''

Fields to include in the PB calculation

spwlist

numpy.array( [ int() ] )

List of N spw ids

chanlist

numpy.array( [ int() ] )

List of N channel ids

weightlist

numpy.array( [ float() ] )

List of N weights (relative)