This release of guisdap contains new features and bugfixes, but everything is made compatible with older versions (hopefully). The package should be compatible with not too ancient Matlab versions (>2023), but there may (or may not) be some problems on specific platforms.
Install
Guisdap-10.0 is more-or-less platform independent, and is running on Linux/iOS/Windows. The software is available in https://github.com/ingemarh/guisdap or https://gitlab.com/ingemarh/guisdap, as git repositories with the large file system (lfs). To get it, install git and git-lfs on linux or iOS. For Windows, https://gitforwindows.org is a good option. Guisdap is also available as ready made deb packages, deb
[trusted=yes] https://sourceforge.net/projects/guisdap/files/deb-repo/ bookworm main. The libraries contain up-to-date ionospheric, atmospheric and magnetic models and can either be installed as the .deb repo (libguisdap) , or made optimised for the hardware/software (tested on Linux and iOS) via ./libinstall.sh
Guisdap is then started via bin/guisdap (preferrably linked to a place on the path).
Provided is a searchpath to ~/gup/mygup where your personal and edited distribution files may go not to interfere with the distributed files.
Running
On a unix system 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 at 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.
For Windows there is a startup script guisdap.m available that should be chosen as ‘Run’ with right-click.
An updated Guisdap is also included in the nirithil/etools docker.
New features
- Git lfs system used for reduced size
- Result files are updated to include source file ID for better provenance
- Improved support for the phased array radars
- Python routines for sky noise calculation
- New gating procedure mainly for long pulse type experiments
- New and updated experiemts
initialisations - Numerous bugfixings and updates