BIG_MAK (Mar95) merge BIG_MAK (Mar95)
BIG_MAK -- task for piecing time series files using only parts of
the input time series files.
big_mak input_files outputl time_start time_end epoch
file_title (nepoch nsecdel seconds mtype)
ASCII file containing list names for time series files. See
big_mak_list_file for exact description
list of output files
starting time for output time series, format
ending time for output time series. Format as time_start.
time at time sample number nepoch. Format as time_start.
time_start does not have to be equal to epoch, but it can't be
title line for output files.
time sample number for epoch. This does not have to be the
first time sample in the output file, but it can't be after it.
number of seconds between time samples
(seconds = no)
include seconds in time sample number computation.
(mtype = all)
m values for mode coefficients: even or all.
IMAGE HEADER WORDS
maximum l value for checking
sample number of first pixel in file, if available
Epoch date and time in UT for input time series file
starting date and time in UT for input time series file
l value for input time series file
spacing for time samples (axis 1, world coordinate system).
mode coefficients in the file are for even-m values or all-m
Task BIG_MAK pieces together time series from up to 30 lists using
parts of the input time series.
1. Put the time series for 92/04/01 and 92/04/02 together from the
lists filein.april. Omit time samples 1441-1470 of the 94/04/02
time series and use instead the time sample from the 92/04/01 time
series. Time sample spacing is 60 seconds. The epoch used is
April 1, 1992.
su> big_mak filein.april @lis.earlyapril "1992/04/01.00:00:00"
"Early April merge data"
The input file filein.april is as follows:
Edited data for early April
1 1470 @lis.mergeapril1
1471 2880 @lis.mergeapril2
The time requirements for the actual arithmetic are minimal. Clock time
requirements are heavily dependent on the disk accessing time for the
time series files.
timeser_file in package SUNTRANS for a description of time series files.