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ASMOOTH

Smooths the input N-dimensional dataset with a mask whose width varies to achieve constant signal to noise at user defined data levels.

This application is most useful for smoothing image data containing diffuse emission, where a wide mask at low data levels smooths the diffuse emission sufficiently, but a progressively narrower mask as the data value increases means point sources are not blurred out.

Subtopics:

Input Output data
Background Subtracted Data
Biasing
Parameters
Masks
Examples

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