csvclean – This task does an invert of the visibilities and deconvolve in the image plane. – utilities, imaging task

Description

This task does an invert of the visibilities and deconvolve in the: image plane. It does not do a uvdata subtraction (aka Cotton-Schwab major cycle) of model visibility as in clean. - For ALMA Commissioning

Parameters

Title
Parameter	Default	Description
vis	`''`
imagename	`''`
field	`''`
spw	`''`
advise	`False`
mode	`'continuum'`
nchan	`int(-1)`
width	`int(1)`
imsize	`numpy.array( [ int(256),int(256) ] )`
cell	`{'value': float(1.01.0), 'unit': 'arcsec'}`
phasecenter	`''`
niter	`int(500)`
weighting	`'natural'`
restoringbeam	`numpy.array( [ ] )`
interactive	`False`

Parameter Explanations

vis

''

Name of input visibility file

imagename

''

Name of image

field

''

Select field using field id(s) or field name(s)

spw

''

Select spectral window/channels

advise

False

Boolean to determine if advice on image cell is requested

mode

'continuum'

define the mode to operate csvclean: option continuum, cube

nchan

int(-1)

Number of channels (planes) in output image; -1 = all

width

int(1)

width of output spectral channels

imsize

numpy.array( [ int(256),int(256) ] )

Image size in pixels (nx,ny), symmetric for single value

cell

{'value': float(1.01.0), 'unit': 'arcsec'}

The image cell size in arcseconds [x,y].

phasecenter

''

Image center: direction or field index

niter

int(500)

Maximum number of iterations

weighting

'natural'

Type of weighting

restoringbeam

numpy.array( [ ] )

Output Gaussian restoring beam for CLEAN image

interactive

False

Create a mask interactively or not.