jeffersonlab/geant4
docker images containing geant4 and the dependencies: clhep, qt, xercesc and other utilities.
1.2K
Docker files for geant4 installation
jeffersonlab/base:[cvmfs-]'ostype'
jeffersonlab/sim:g4v'geant4_version'-'ostype'-'install_dir'
jeffersonlab/gemc:'gemc_version'-g4v'geant4_version'-'ostype'-'install_dir'
Examples:
Use the pack_all.sh script to copy the images to cvmfs. The option 'gemc' will only pack the clas12Tag directory as opposed to all the libraries.
Manually tar the files. Make sure tar is an alias to gtar or use gtar directly.
cd /opt/jlab_software
gtar cvfz 1.1-macos.tar.gz 1.1
mv 1.1-macos.tar.gz ~/mywork
scp *.tar.gz ifarm:/work/clas12/ungaro/images
jeffersonlab/gemc:dev-fedora36
which is an autobuild based on
jeffersonlab/gemc:dev-g4v10.7.4-fedora36-cvmfs
First make a tag of the current version:
docker pull jeffersonlab/clas12software:production
docker tag jeffersonlab/clas12software:production jeffersonlab/clas12software:tag_sept_24
docker push jeffersonlab/clas12software:tag_sept_24
Then make a new tag for the new version:
Almalinux:
docker pull jeffersonlab/base:cvmfs-almalinux93
docker tag jeffersonlab/base:cvmfs-almalinux93 jeffersonlab/clas12software:devel
docker push jeffersonlab/clas12software:devel
docker tag jeffersonlab/base:cvmfs-almalinux93 jeffersonlab/clas12software:production
docker push jeffersonlab/clas12software:production
Fedora:
docker pull jeffersonlab/base:cvmfs-fedora36
docker tag jeffersonlab/base:cvmfs-fedora36 jeffersonlab/clas12software:devel
docker push jeffersonlab/clas12software:devel
docker tag jeffersonlab/base:cvmfs-fedora36 jeffersonlab/clas12software:production
docker push jeffersonlab/clas12software:production
After testing, can use the tag production
.
docker_run_image jeffersonlab/clas12software:devel cvmfs
source /etc/profile.d/modules.csh
set cvmfsPath = /cvmfs/oasis.opensciencegrid.org/jlab/hallb/clas12/sw/
set cvmfsSetupFile = $cvmfsPath/setup.csh
source $cvmfsSetupFile $cvmfsPath
module load sqlite/5.7
setenv SIM_HOME /cvmfs/oasis.opensciencegrid.org/jlab/geant4
source /cvmfs/oasis.opensciencegrid.org/jlab/geant4/ceInstall/setup.csh
module load gemc/5.9
setenv RCDB_CONNECTION mysql://null
module avail
module load coatjava/10.0.2
module load jdk/17.0.2
module load mcgen/3.02
generate-seeds.py generate
set seed = `generate-seeds.py read --row 1`
clasdis --trig 100 --docker --t 20 25 --seed $seed
gemc -USE_GUI=0 -N=100 /cvmfs/oasis.opensciencegrid.org/jlab/hallb/clas12/sw/noarch/clas12-config/dev/gemc/5.7/rga_fall2018_target_at_m3.5.gcard -INPUT_GEN_FILE='lund, clasdis.dat' -RANDOMIZE_LUND_VZ='-3.0*cm, 2.5*cm, reset ' -BEAM_SPOT='0.0*mm, 0.0*mm, 0.0*mm, 0.0*mm, 0*deg, reset ' -RASTER_VERTEX='0.0*cm, 0.0*cm, reset ' -SCALE_FIELD='binary_torus, +1.00' -SCALE_FIELD='binary_solenoid, -1.00' -OUTPUT='hipo, gemc.hipo' -INTEGRATEDRAW='*' | sed '/G4Exception-START/,/G4Exception-END/d'
$DRIFTCHAMBERS/install/bin/denoise2.exe -i gemc.hipo -o gemc_denoised.hipo -t 1 -n $DRIFTCHAMBERS/denoising/code/network/cnn_autoenc_0f_112.json
recon-util -y /cvmfs/oasis.opensciencegrid.org/jlab/hallb/clas12/sw/noarch/clas12-config/dev/coatjava/10.0.2/rga_fall2018_target_at_m3.5.yaml -i gemc_denoised.hipo -o recon.hipo
echo
ls -l
module load singularity
singularity shell --bind /cvmfs --contain --ipc --pid --cleanenv /cvmfs/singularity.opensciencegrid.org/jeffersonlab/clas12software:devel
singularity shell --home ${PWD}:/srv --pwd /srv --bind /cvmfs --contain --ipc --pid --cleanenv /cvmfs/singularity.opensciencegrid.org/jeffersonlab/clas12software:devel
docker pull jeffersonlab/geant4