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deconvolver.boxmask - Function
3.1.2 Construct a mask from blc, trc
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
deconvolver 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
Inputs |
| ||
mask |
| name of mask image
| |
| allowed: | string |
|
| Default: |
| |
blc |
| Bottom left corner
| |
| allowed: | intArray |
|
| Default: | -1 | |
trc |
| Top right corner
| |
| allowed: | intArray |
|
| Default: | -1 |
|
fillvalue |
| Value to fill in
| |
| allowed: | any |
|
| Default: | variant 1.0Jy |
|
outsidevalue |
| outside value
| |
| allowed: | any |
|
| Default: | variant 0.0Jy |
|
bool
Example
dc.boxmask(mask=’bigmask’, blc=[56,45,1,1], trc=[87,93,4,1])
dc.clean(mask=’bigmask’, model=’3C273XC1.clean.masked’, niter=1000)
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