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gongprep \- process raw GONG data images
.B gongprep
\fI[-cqv] [argument= value ...]\f
\fIgongprep\fR provides the necessary preprocessing of a series ofraw GONG Dopplergrams for mapping into heliographic coordinates.

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 \fB\-c\fR option applies a constant calibration factor to the input


The \fB\-q\fR option prints out the list of required arguments and their

default or environmental values, then quits. The \fB\-v\fR option sets \fIverbose\fR mode, redirecting history from \fIstdout\fR to \fIstderr\fR.
.NXR ""
.NXR "module command" "options"
.IP \fBin=\fIDataset_Name\fR 20
input dataset (default: gong.fits)
.IP \fBout=\fIDataset_Name\fR 20
output dataset (default: gong.prepped.fits)
.IP \fBcalib=\fIReal\fR 20
calibration factor (default: -1.0)
.IP \fBrc=\fIReal\fR 20
semi-major axis of ellipse on image beyond which values are ignored for purposes of determining the gradient (default: 0.5) .IP \fBstart_t=\fIString\fR 20
starting time of the dataset (default: 1991:06:30_15h:14m) .IP \fBref_t=\fIString\fR 20
time at which the sky position angle is 0 (default: 1991:06:30_07h:39m) .IP \fBdelta_t=\fIString\fR 20
temporal cadence of succesive sequence numbers in the dataset (default: 60s)

.NXR(e) ""
sds_gongprep(3), solephem(3)

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.

Kay Leibrand

1994-02-14 SOI Version 0.8
.#$Id: gongprep.1,v 1.1 1994/02/17 00:10:10 CM Exp $ .#$Source: /home/soi/CM/man/man1/RCS/gongprep.1,v $ .#$Author: CM $

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