Examples

Obtain an image of signal sideband (side band supression):

sdsidebandsplit(imagename=['shift_0ch.image', 'shift_132ch.image', 'shift_neg81ch.image'], outfile='separated.image', signalshift=[0.0, +132.0, -81.0],imageshift=[0.0, -132.0, +81.0])

The output image is 'separated.image.signalband'.

 

To solve both signal and image sidebands, set frequency of image sideband explicitly in addtion to getbothside=True.

sdsidebandsplit(imagename=['shift_0ch.image', 'shift_132ch.image', 'shift_neg81ch.image'], outfile='separated.image', signalshift=[0.0, +132.0, -81.0], imageshift=[0.0, -132.0, +81.0], getbothside=True, refpix=0.0, refval='805.8869GHz')

The output images are 'separated.image.signalband' and 'separated.image.imageband' for signal and image sideband, respectively.

 

To obtain signal sideband image by solving image sideband, set otherside=True:

sdsidebandsplit(imagename=['shift_0ch.image', 'shift_132ch.image', 'shift_neg81ch.image'], outfile='separated.image', signalshift=[0.0, +132.0, -81.0], imageshift=[0.0, -132.0, +81.0], otherside=True)

Solution of image sideband is obtained and subtracted from the original (double sideband) spectra to derive spectra of signal sideband. The output image is 'separated.image.signalband'.