task_deconvolve Namespace Reference

Functions
def	deconvolve
def	_add_axes

---

Function Documentation

def task_deconvolve._add_axes

(

inImage

)

[private]

Definition at line 121 of file task_deconvolve.py.

Referenced by deconvolve().

def task_deconvolve.deconvolve	(		imagename,
			model,
			psf,
			alg,
			niter,
			gain,
			threshold,
			mask,
			scales,
			sigma,
			targetflux,
			prior
	)

deconvolve: Image based deconvolver. The psf provided is
deconvolved out of the image provided.

    Keyword arguments:
    imagename -- Name of input image to be deconvoled
    model     -- Name of output to store found model, a.k.a clean components
    psf       -- Name of psf image to use e.g  psf='mypsf.image' .
                 But 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 clark, hogbom or multiscale or mem. if multiscale 
                 the parameter scale is used to define the number of scales.
    niter     -- Number of iteration
    gain      -- CLEAN gain parameter; fraction to remove from peak (< 1.0)
    threshold -- deconvolution stopping threshold: if no peak above
                 found above this level 
    mask      -- mask image (same shape as image and psf) to limit region
                 where deconvoltion is to occur
    ------parameters useful for multiscale only
    scales     -- parameter needed for multiscale clean. default value [0,3,10]
    ------parameters useful for mem only
    sigma     -- Estimated noise for image
    targetflux -- Target total flux in image 
    prior     -- Prior image to guide mem

Definition at line 4 of file task_deconvolve.py.

References _add_axes().

Referenced by deconvolve.deconvolve().