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Last modified 07 April 2004

GUISDAP 8.3

This release of guisdap contains several new features and bugfixes, but everything is made compatible with older versions (hopefully). It has been developed and tested using Matlab 6.5, so there may (or may not) be some problems with older Matlab versions.

Install

Guisdap-8.3 has been succesfully installed on Solaris (Forte 7) and linux (gcc 3), and the makefiles are written for those systems. Other architectures may have to change the makefiles, if you want speed, othervise it should run without the compiled routines. Please report any changes needed for other systems. 
untar the distribution at your favourite place
cd into the guisdap directory
if you want the speed improvements the mex utility provides:
 make "lib" and "mex6" directories
 cd models/iri2001
 "make" (should be gnu-make)
 cd ../nrlmsise00
 "make"
 cd ../../mexsources
 "make"
make a link of bin/guisdap to a place on your path (ex /usr/local/bin)
Integration of historic KST data is done using the Nigel Wade integration package which you have to install separately. Provided are paths to NW/mex6 for the mex files and NW/lib for the libraries. Provided is also a searchpath to ~/gup/mygup where your personal and edited distribution files should go.

Running

At the prompt, type "guisdap --help" to see all the switches available. Normal analysis is done running "guisdap -a" which will bring up a window with some entries to fill in. (Hopefully selfexplained) This is the same as "guisdap" and then "analyse". When finished hit "GO". A more detailed instruction can be found here.

There is also a course presentation describing how to initialise new experiments and some useful tips on more specialised analysis. The initialisation scripts are avaiable with "guisdap -i".

New features

  • The speed of the analysis have been improved on multiprocessor systems by using threads.
  • The integrated data can now be saved at specified place, by d_saveintdir. If analysis is not wanted, the parameter analysis_do should be unset.
  • Numerous hidden improvements and refinements

    Further information is will be available here in due course. Not up-to-date users might find something useful in the vs 8.2 release info.

    Ingemar Häggström.