Deconvolve

Help on deconvolve task:

Image based deconvolver

        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