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imager.boxmask - Function



Package synthesis
Module imager
Tool imager


Construct a mask image from blc, trc


Synopsis
boxmask(mask, blc, trc, value)


Description
A mask image is an image with the same shape as the other images but with values between 0.0 and 1.0 as a pixel value. Mask images are used in imager to control the region selected in a deconvolution.

In the Clark CLEAN, the mask image can usefully have any value between 0.0 and 1.0. Intermediate value discourage but do not rule out selection of clean components in that region. This is accomplished by multiplying the residual image by the mask prior to entering the minor cycle. Note that if you do use a mask for the Clark or Hogbom Clean, it must cover only a quarter of the image. boxmask does not enforce this requirement.



Arguments

mask in name of mask image
Allowed: String
blc in Bottom left corner
Allowed: Vector
Default: [1,1,1,1]
trc in Top right corner
Allowed: Vector
Default: image shape
value in Value to fill in
Allowed: Float
Default: 1.0


Returns
Bool


Example
imgr.boxmask(mask='bigmask', blc=[56,45,1,1], trc=[87,93,4,1])
imgr.clean(mask='bigmask', model='3C273XC1.clean.masked', niter=1000)

Makes the image bigmask, and then sets it to unity for all points in the region bounded by the blc and trc. Then cleans using it as the mask.





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2006-10-15