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All centralized astro-software (binaries and source) is placed under /cluster/apps/softwarewhich should be exported as the environmental variable $SOFTWARE. To use it, run first "ml ASTRO" to load the ASTRO workspace. This will set $SOFTWARE and other environmental variables required for some tools/programs to run.
For questions or software updates, contact Bogdan.
To use astro-software you should have these lines in your .bashrc so you will be able to see all the modulefiles for the configured workspaces and software.
Code Block |
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if [ -d "/cluster/apps/software/_profile" ]; then
if [ -z $SOFTWARE ]; then
source "/cluster/apps/software/_profile/globals.bash"
fi
fi
if [ -d "/cluster/apps/software/.profile.d" ]; then
if [ -z $SOFTWARE ]; then
source "/cluster/apps/software/.profile.d/globals.bash"
fi
fi
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Code Block |
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#show available modules to load [username@computername ~]$ ml av ----------------------------------------------- /cluster/apps/software/_profile/lmod/WORKSPACE ----------------------------------------- ASTRO CORE ----------------------------------------- /cluster/apps/spack/2022a/lmod/linux-fedora36-x86_64/Core ------------------------------------ # load the ASTRO module then show again the available modules [username@computername ~]$ ml ASTRO [username@computername ~]$ ml av ------------------------------------------- /cluster/apps/software/_profile/lmod/modulefiles/ASTRO ------------------------------------- CALDB conda+/ciao conda+/fermi (D) ds9/8.3 heasoft/6.30.1 heasoft/6.31 (D) iraf/2.17 starlink/fc36 starlink/2021A (D) trm ---------------------------------------------- /cluster/apps/software/_profile/lmod/WORKSPACE ------------------------------------------ ASTRO (L) CORE ----------------------------------------- /cluster/apps/spack/2022a/lmod/linux-fedora36-x86_64/Core ------------------------------------ anaconda3/2021.05 anaconda3/2022.05 (D) gcc/10.2.0 |
Run first ml ASTRO to load the ASTRO workspace. This will set the environment and make available the ASTRO software for loading.
For questions or software updates, contact Bogdan.
- Anaconda
Some python packages are installed via anaconda (https://anaconda.cloud/package-categories/scientific). To load it type:
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