deconvolve

Synopsis Image based deconvolver Description

Several algorithms are available to deconvolve an image with a known psf (dirty beam), or a Gaussian beam. The algorithms available are clark and hogbom clean, a multiscale clean and a mem clean.


Inputs
imagename		Input image to deconvolve
		allowed:	string
		Default:
model		Output image containing deconvolved point model
		allowed:	string
		Default:
psf		Point spread function (dirty beam)
		allowed:	stringArray
		Default:
alg		Algorithm to use (clark, hogbom, multiscale, mem)
		allowed:	string
		Default:	clark
niter		number of iteration in deconvolution process
		allowed:	int
		Default:	10
gain		CLEAN gain parameter
		allowed:	double
		Default:	0.1
threshold	mJy	level below which sources will not be deconvolved
		allowed:	doublemJy
		Default:	0.0
mask		image mask to limit region of deconvolution
		allowed:	string
		Default:
scales		scale sizes (pixels) to deconvolve
		allowed:	intArray
		Default:	0 3 10
sigma	mJy	mem parameter: Expected noise in image
		allowed:	doublemJy
		Default:	0.0
targetflux	Jy	mem parameter: Estimated total flux in image
		allowed:	doubleJy
		Default:	1.0
prior		mem parameter: prior image for mem search
		allowed:	string
		Default:

        Several algorithms are available to deconvolve an image with a
        known psf (dirty beam), or a Gaussian beam.  The algorithms
        available are clark and hogbom clean, a multiscale clean and a
        mem clean.  For more deconvolution control, use clean.

     Keyword arguments:
     imagename -- Name of input image to be deconvolved
     model     -- Name of output image containing the clean components
     psf       -- Name of psf image (dirty beam) to use
                     example: psf=’casaxmlf.image’ .
                   If the psf has 3 parameter, then a Gaussian
             psf is assumed with the values representing
                     the major , minor and position angle  values
                     e.g  psf=[’3arcsec’, ’2.5arcsec’, ’10deg’]
     alg       -- algorithm to use: default = ’clark’
                       options: clark, hogbom, multiscale or mem.
     niter     -- Maximum number of iterations
     gain      -- CLEAN gain parameter; fraction to remove from peak
     threshold -- Halt deconvolution if the maximum residual image is
                     below this threshold.
                     default = ’0.0Jy’
     mask      -- mask image (same shape as image and psf) to limit region
                     where deconvoltion is to occur

     ------parameters useful for multiscale only
     scales     -- in pixel numbers; the size of component to deconvolve.
                      default value [0,3,10]
                      recommended sizes are 0 (point), 3 (points per clean beam), and
                      10 (about a factor of three lower resolution)
     ------parameters useful for mem only
     sigma      -- Estimated noise for image
     targetflux -- Target total flux in image
     prior      -- Prior image to guide mem

0.1.11 deconvolve