GONGPREP(1)
NAME
gongprep - process raw GONG data images
SYNOPSIS
gongprep [-cqv] [argument= value ...]
DESCRIPTION
gongprep provides the necessary preprocessing of a series of
raw GONG Dopplergrams for mapping into heliographic coordi-
nates. The sky position angle and physical ephemerides are
calculated from the time, and the center and radii of the
best fit ellipse to the limb are determined for each image.
Mainly it just sets a bunch of attributes in the dataset.
The -c option applies a constant calibration factor to the
input values.
The -q option prints out the list of required arguments and
their default or environmental values, then quits. The -v
option sets verbose mode, redirecting history from stdout to
stderr.
OPTIONS
in=Dataset_Name input dataset (default: gong.fits)
out=Dataset_Name output dataset (default:
gong.prepped.fits)
calib=Real calibration factor (default: -1.0)
rc=Real semi-major axis of ellipse on image
beyond which values are ignored for pur-
poses of determining the gradient
(default: 0.5)
start_t=String starting time of the dataset (default:
1991:06:30_15h:14m)
ref_t=String time at which the sky position angle is
0 (default: 1991:06:30_07h:39m)
delta_t=String temporal cadence of succesive sequence
numbers in the dataset (default: 60s)
EXAMPLES
FILES
SEE ALSO
sds_gongprep(3), solephem(3)
DIAGNOSTICS
BUGS
The module is probably obsolescent. It would be better to
do something than to just rewrite the dataset with new
headers.
The fitting of the velocity gradient to verify position
angle is not actually used. The limb fit must already be
supplied in the input data. Several of the output attribute
have a mismatch between declared type and attribute type.
AUTHOR
Kay Leibrand
HISTORY
1994-02-14 SOI Version 0.8