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.
Next: imager.clean - Function
Up: imager - Tool
Previous: imager.approximatepsf - Function
 
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2006-10-15