AIPS HELP file for NNLSQ in 31DEC25
As of Wed Dec 11 8:22:07 2024
NNLSQ: Non-Negative-Least-Squares decomposition of spectrum
INPUTS
INNAME Input image name (name)
INCLASS Input image name (class)
INSEQ 0.0 9999.0 Input image name (seq. #)
INDISK 0.0 9.0 Input image disk unit #
OUTNAME Output image name (name)
OUTCLASS Output image name (class)
OUTSEQ -1.0 9999.0 Output image name (seq. #)
OUTDISK 0.0 9.0 Output image disk unit #.
BLC Bottom left corner of input
TRC Top right corner of input
CPARM [1]=Sigma {default 1.0}
HELP SECTION
NNLSQ
Task: This program solves for the set of positive (non-negative)
components which when convolved with a specified Gaussian
make a least squares fit to the dirty spectrum. For best
results (minimum broadening of the profiles combined with
best S/N) the sigma of the Gaussian should be similar to
that of the instrumental profile (1-1.5 is probably good).
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 is entire image.
TRC........Top right corner in input image of desired
subimage. Default is entire image.
CPARM......CPARM(1) = Sigma of Gaussians (default 1.0)
EXPLAIN SECTION