AIPS HELP file for XSMTH in 31DEC25
As of Wed Dec 11 5:57:18 2024
XSMTH: Task to smooth data on the x axis only
INPUTS
INNAME Input image name (name)
INCLASS Input image name (class)
INSEQ 0.0 9999.0 Input image name (seq. #)
INDISK Input image disk unit #
OUTNAME Output image name (name)
OUTCLASS Output image name (class)
OUTSEQ -1.0 9999.0 Output image name (seq. #)
OUTDISK Output image disk unit #.
BLC Bottom left corner of input
TRC Top right corner of input
NPOINTS 0.0 16384.0 # x-axis points on output
OPCODE 'SMOT' or 'INTE'
DPARM (1) Type of function
(2) Diameter of func. cells
(3) Diameter of support cells
(4) Min ok sum of weights
HELP SECTION
XSMTH
Task: To smooth the image along the x axis by convolution or
interpolation with a resampling.
Adverbs:
INNAME.....Input image name (name). Standard defaults.
INCLASS....Input image name (class). Standard defaults.
INSEQ......Input image name (seq. #). 0 => highest.
INDISK.....Disk drive # of input image. 0 => any.
OUTNAME....Output image name (name). Standard defaults.
OUTCLASS...Output image name (class). Standard defaults.
OUTSEQ.....Output image name (seq. #). 0 => highest unique.
OUTDISK....Disk drive # of output image. 0 => highest
number with sufficient space.
BLC........Bottom right corner in input image of desired
subimage. Default (0) is entire image.
TRC........Top right corner in input image of desired
subimage. Default (0) is entire image.
NPOINTS....Number of points on output x axis. 0 => same as
input subimage ('SMOT'), twice input subimage
minus one ('INTE')
OPCODE.....Type of smoothing: 'SMOT' a convolution,
'INTE' a polynomial interpolation. ' ' => 'SMOT'.
DPARM......(1) on 'INTE' the order of the polynomial interp.:
0 => linear, 1 => cubic, 2 => quintic, 3 =>
septic. On 'SMOT' the type of function: 0 =>
triangle (Hanning), 1 => Gaussian, 2 => Boxcar,
3 => sin(x)/x.
(2) on 'SMOT' the "diameter" of the function, i.e.
FWHM of Gaussian, width of Boxcar, width
between first nulls of Hanning triangle and
sin(x)/x - in cells. Defaults (if < 0.1) are
4, 2, 2, and 3 cells for DPARM(1) = 0 - 3.
(NOTE: boxcar with support = even number is
asymmetric; this pixel 1 and 2 are averaged
in output pixel 2 when DPARM(2)=2.)
(3) on 'SMOT' the diameter over which the
convolving function has value - in cells.
Defaults: 1, 3, 1, 4 times DPARM(2) used when
input DPARM(3) < net DPARM(2).
(4) on 'SMOT' the minimum acceptable sum of the
convolving function values contributing to an
output pixel. The pixel is blanked if the sum
is less. <= 0 -> 0.33, >= 1.0 -> 0.95.
Use 0.99 to demand a true convolution, small
values to smooth over blanked pixels.
EXPLAIN SECTION