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Basic Information on imcomb
Task: imcomb
Purpose: Combine images
Categories: map combination
IMCOMB is a MIRIAD task which combines several images into
one. The images are weighted in the region of overlap to minimise
the rms noise.
Key: in
Name of the input image datasets. Several can be given.
Wildcards are supported. At least one must be given.
Key: out
The name of the output dataset.
Key: rms
The rms noise levels of each of the input images. This is used in
weighting the images when combining them (and thus minimising the
noise level in any overlap region). Only the relative magnitude
of the noise values are important.
The images are weighted as 1/rms**2 -- so if you wish the images
to have speific weights, compute them accordingly. For example
if you wish to weight two images by the ratios 4 to 1, use
rms = 0.5,1
where 0.5 is 1/sqrt(4)
The default is to use the theoretical rms of the input images found
in the image header. If this is missing, then the last valid rms
noise level found is used. If no values are given, and the first
dataset does not contain the rms value in the header, equal weights
are used for all images.
Key: options
Extra processing options. Several values can be given, separated
by a comma. Minimum match of names is used. Possible values are:
nonormalise Do not renormalise the output. Normally the output
is normalised to account for overlap regions.