Description

deconvolve performs minor cycle deconvolution directly on a dirty image. No MS is required. 

ALERT: deconvolve is currently defunct. We plan to replace the task with tclean code. For the moment use tclean (although tclean requires an MS at this stage), or please use deconvolve in an older version of CASA (v4.7.2 or earlier).

 

Parameter descriptions

imagename

The input dirty image that will be deconvolved.

model

The output cleaned image containing a deconvolved point model.

psf

Can be either be an image (e.g., a psf that tclean has calculated), or a list of values that define a Gaussian, e.g., psf=['3arcsec', '2.5arcsec', '10deg'] defines a Gaussian with '3arcsec' as the major axis, '2.5arcsec' as the minor axis, and a position angle of 10 degrees. 

alg

The clean algorithm to use by deconvolve. Several algorithms are available to deconvolve an image with a known psf (dirty beam), or a Gaussian beam. The algorithms are 'clark' (default) and 'hogbom' clean, 'multiscale' clean and a Maximum Entropy 'mem' clean. Details on the algorithms are given in the Synthesis Imaging chapter in the page describing Deconvolution Algorithms.

alg='multiscale' expandable parameters

scales

A list of scales in units of pixels (see the deconvolve examples tab).

alg='mem' expandable parameters

sigma

This parameter allows the user to input an expected noise value, which will allow for a faster convergence.

targetflux

The estimated total flux in the image.

prior

A starting model to be used by deconvolve. If no prior is provided, a flat image will be used.

 

niter

The number of iterations to perform on the image. Default: 10

gain

Sets the CLEAN gain parameter. Default: 0.1

threshold

Sets the lower level below which sources will not be deconvolved.

mask

The image mask to limit the region of deconvolution.