sdsidebandsplit – [EXPERIMENTAL] invoke sideband separation using FFT – single dish task

Description

[EXPERIMENTAL] SD sideband separation and supression task:: Invoke sideband separation / supression using FFT

Parameters

Title
Parameter	Default	Description
imagename	`numpy.array( [ ] )`	a list of names of input images
outfile	`''`	Prefix of output image name
overwrite	`False`
signalshift	`numpy.array( [ ] )`	a list of channel number shifts in signal side band
imageshift	`numpy.array( [ ] )`	a list of channel number shifts in image side band
getbothside	`False`
refchan	`float(0.0)`
refval	`''`
otherside	`False`
threshold	`float(0.2)`	Rejection limit of solution

Parameter Explanations

imagename

numpy.array( [ ] )

a list of names of input images. At least two valid images are required for processing

outfile

''

Prefix of output image name.: A suffix, “.signalband” or “.imageband” is added to output image name depending on the side band side being solved.

overwrite

False

overwrite option

signalshift

numpy.array( [ ] )

a list of channel number shifts in signal side band.: The number of elements must be equal to that of imagename

imageshift

numpy.array( [ ] )

a list of channel number shifts in image side band.
The number of elements must be either zero or equal to that of imagename. In case of zero length array, the values are obtained from signalshift assuming the shifts are the same magnitude in opposite direction.

getbothside

False

sideband separation (True) or supression (False)

refchan

float(0.0)

reference channel of spectral axis in image sideband

refval

''

frequency at the reference channel of spectral axis in image sideband (e.g., “100GHz”)

otherside

False

solve the solution of the other side band side and subtract the solution

threshold

float(0.2)

Rejection limit of solution. The value must be greater than 0.0 and less than 1.0.